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extacy
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A peer-reviewed clinical journal serving healthcare professionals working with the Department of Veterans Affairs, the Department of Defense, and the Public Health Service.
Cannabis Use by Veterans and Potential Interactions With Antineoplastic Agents: Analysis and Literature Review
Cannabis Use by Veterans and Potential Interactions With Antineoplastic Agents: Analysis and Literature Review
Cannabis has a long history of use for medicinal and recreational purposes. Research illustrates the potential benefits and increased prevalence of cannabis use in patients with cancer.1 Cannabis products have been shown to possess antineoplastic and palliative activity, improving nociceptive and neuropathic pain in addition to chemotherapy-related nausea and vomiting.2-5 Despite these developments and changing social attitudes toward cannabis, there remains a lack of comprehensive data on patient perspectives regarding its use, especially in regions where cannabis remains illegal. This knowledge gap is notable among veterans undergoing cancer treatment in states where cannabis is prohibited. Up to 57% of veterans report lifetime marijuana use, making it crucial to understand this population’s cannabis use patterns and potential interactions with cancer treatments.6
This observational study sought to determine the prevalence of cannabis use among patients undergoing cancer treatment at the US Department of Veterans Affairs (VA) Memphis Healthcare System and evaluate the potential risks associated with combining cannabis products with anticancer therapies.
METHODS
This prospective observational study identified cannabis use among veterans receiving antineoplastic therapy at the Lt. Col. Luke Weathers Jr. VA Medical Center (WJVAMC) and analyzed potential interactions between cannabis products and their cancer treatments. Participants included adults aged > 18 years undergoing antineoplastic therapy at WJVAMC who consented to the study. Data collection involved a written survey approved by the WJVAMC Institutional Review Board and verbal consent from participants. The survey asked participants about their cannabis use in the previous 90 days, including details on quantity, frequency, and method of consumption (eg, inhalation, oral, topical). No incentives were offered for participation.
Surveys from 50 patients who used cannabis were analyzed and their electronic health records were reviewed for sex, age, diagnosis, and antineoplastic regimen. This information was securely stored. A literature review was conducted using PubMed and the Cochrane Library to explore potential interactions between cannabis and the antineoplastic agents that were prescribed to patients in the study, focusing on toxicity, efficacy, or synergistic effects.
Patients were categorized into 4 groups based on treatment: cytotoxic chemotherapy, immunotherapy, endocrine therapy, and targeted therapy. Patients undergoing multiple types of therapies were included in each applicable category.
RESULTS
A total of 132 patients agreed to participate. Fifty patients (38%) acknowledged using cannabis products within 90 days. The patients that used cannabis products within 90 days of the survey reported the following malignancies: 8 patients (16%) had prostate cancer, 3 patients (6%) had hepatocellular carcinoma, 7 patients (14%) had pancreatic carcinoma, 5 patients (10%) had multiple myeloma, 3 patients (6%) had chronic lymphocytic leukemia, 9 patients (18%) had non-small cell lung cancer, 3 patients (6%) had breast cancer, 3 (6%) patients had bladder cancer, 2 patients (4%) had renal cell carcinoma, 1 (2%) patient had chronic myeloid leukemia, 1 (2%) patient had renal amyloid, 1 patient (2%) had supraglottic squamous cell carcinoma, 1 patient (2%) had esophageal carcinoma, 1 (2%) patient had small cell lung cancer, 1 (2%) patient had gastric cancer, and 1 patient (2%) had follicular lymphoma.
Five (10%) of the cannabis users were female, and 45 (90%) were male. Twenty-nine patients (58%) were aged 66 to 75 years, 16 (32%) were aged 56 to 65 years, 3 (6%) were aged 46 to 55 years, and 2 (4%) were aged 76 to 85 years.
Thirty-five patients (70%) inhaled cannabis as opposed to using it via other formulations or a combination (eg, inhalation and topical). Thirty-eight percent of patients used cannabis once daily, 24% used < 1 daily, and 28% used it ≥ 2 times daily. Five patients (10%) did not report the frequency of their cannabis use. Among the patients who reported cannabis use, 21 (42%) were undergoing cytotoxic chemotherapy, 19 (38%) were undergoing immunotherapy, 12 (24%) were undergoing targeted therapy, and 10 (20%) were undergoing endocrine therapy. Some patients were treated with multiple types of antineoplastic agents and were counted in multiple categories (Table 1).

Following a literature review of cannabis and antineoplastic agents, patients were evaluated for the potential effects of cannabis on their treatment. The literature review revealed that 31% of cytotoxic chemotherapy agents received by patients in this study might have increased toxicity, and 19% could have reduced efficacy when combined with cannabis. Among immunotherapy agents received by patients in this study, 70% might have decreased efficacy when combined with cannabis use. For targeted therapies, 35% could have increased toxicity, and 70% of endocrine agents could potentially have decreased efficacy (Table 2).

DISCUSSION
This prospective study corroborates previous research by demonstrating that more than one-third of patients receiving oncology care at WJVAMC use cannabis, most often inhaled. Cannabis use was observed among patients undergoing various cancer therapies, including cytotoxic chemotherapy, immunotherapy, targeted therapy, and endocrine therapy. The most common malignancies among cannabis users at WJVAMC include patients with lung cancer, prostate cancer, pancreatic cancer, and multiple myeloma. Cannabis use in patients with pancreatic cancer and multiple myeloma was significantly out of proportion to their prevalence at WJVAMC. This could potentially be due to their drastic effect on quality of life.
Cannabis use increased the risk of toxicity in patients treated with cytotoxic chemotherapy and targeted therapy. Cannabis use potentially decreased efficacy for patients treated with cytotoxic chemotherapy and/or immunotherapy. Cannabis use did not increase the risk of toxicity or efficacy in patients treated with endocrine therapy.
Antineoplastics/Cannabis Interactions
The potential interactions between cannabis and antineoplastic therapies administered at WJVAMC are worth exploring. While this review aims to shed light on possible interactions, it is important to acknowledge that much of the data is preliminary and derived from in vitro studies. The interactions should be interpreted as potential risks rather than established facts. Additional research is needed to confirm these interactions and effectively guide clinical practices. Understanding these dynamics is essential to optimize patient care and manage the complex interplay between cannabis use and cancer treatment.
Originating from Central Asia, the cannabis plant contains > 400 medicinally relevant compounds, of which about 100 are cannabinoids (CBs). Key CBs are cannabidiol (CBD), a nonpsychoactive compound, and ?-9-tetrahydrocannabinol (THC), a psychoactive compound. THC can make up 20% to 30% of the dry weight of female cannabis flowers.7
CBs act through the endocannabinoid system, involving CB1 and CB2 receptors, endogenous CBs like anandamide (AEA) and 2-arachidonoylglycerol, and various enzymes. These endogenous CBs, derived from arachidonic acid, play roles in cell growth and proliferation.8 In some studies, AEA has induced apoptosis in neuroblastoma cells and inhibited proliferation in breast cancer cells. However, other research suggests AEA may block apoptosis under certain conditions.9
CB receptors are transmembrane proteins that interact with CBs differently depending on tissue type and CB structure. Synthetic CBs are designed to target specific receptors, while natural CBs may act as both agonists and antagonists.10
Cytochrome P450 Metabolism
The human cytochrome P450 (CYP) 3A subfamily affects the metabolism of many therapeutic drugs, including cancer therapeutics.11 The various compositions of cannabis are primarily metabolized by the CYP450 pathway, the same as many cancer-directed pharmacologic treatments. CBs act as both CYP inducers and inhibitors. THC, for example, is a CYP inducer whereas CBD is a CYP inhibitor; both are found in the various compounds available for consumption.12,13 Pharmacology research has suggested potential interactions and effects on established adverse symptoms, but clinical data are lacking, and current research revealing interactions are only recognized in vitro.14
The Antineoplastic Activity of Cannabis
CBs can affect various cancer-related pathways such as PKB, AMPK, CAMKK-ß, mTOR, PDHK, HIF-1 a, and PPAR-γ. Δ-9-THC can selectively induce apoptosis in tumor cells without harming normal cells, though the exact mechanism remains unclear. Promising results from early mouse studies led to a 2006 human study where intracranial Δ-9-THC in patients with recurrent glioma yielded a median survival of 24 weeks, with 2 patients surviving > 1 year.15
In a 2022 review article, Cherkasova et al highlighted potential clinical benefits of cannabis across various cancers. They found that upregulated CB1 receptors in colon cancer might enhance the effect of 5-fluorouracil. However, many studies are preliminary and therefore not definitive.10
Additional research is needed to refine these findings. Challenges include variability in cannabis formulations, the complex tumor microenvironment, and the legal and psychoactive issues surrounding cannabis use. These factors complicate the design of multicenter randomized studies and may deter patients from disclosing cannabis use, thereby hindering efforts to fully understand its therapeutic potential.
Cannabis/Cytotoxic Chemotherapy Interactions
The chemotherapy agents used in this study included carboplatin, paclitaxel, 5-fluorouracil, etoposide, irinotecan, oxaliplatin, pemetrexed, docetaxel, cabazitaxel, T-DM1, gemcitabine, and cyclophosphamide. There is a paucity of research regarding the interactions between cytotoxic chemotherapy and cannabis. Most studies focused on CBD due to its inhibition of the CYP450 pathway, which is used for metabolizing cytotoxic chemotherapies. Through this mechanism, CBD could potentially increase the concentrations of chemotherapeutic agents, enhancing their toxicity.
When combined with irinotecan, cannabis can pose risks. Δ-9-THC undergoes first-pass metabolism in the liver, mediated by the CYP450 system and CYP3A4. The glucuronidation of irinotecan is mediated by uridine diphosphate glycosyltransferase, leading to its recirculation within the hepatic system and potentially increased toxicity due to prolonged drug presence. Cannabis may also compete with drug binding to albumin, altering the plasma concentrations of irinotecan and its conversion to the metabolite SN38.16
Cannabis products can affect chemotherapy levels by interacting with cellular transporters. The MRP1 transporter family, encoded by the ABCC gene family, is expressed mainly in the lung, kidney, skeletal muscle, and hematopoietic stem cells. A 2018 study investigating the effects of THC, CBD, and CBN on MRP1 transporters found that the presence of a cannabis component increased the concentration of vincristine 3-fold. Additional studies suggest the interaction with the CB1 receptor may lead to changes in the expression of MRP1 transporters.17
CBD inhibits the BCRP transporter, which functions as an efflux pump for methotrexate. Consequently, CBD can increase methotrexate levels, potentially enhancing efficacy but also worsening adverse effects.18
In pancreatic cancer, CBD specifically interacts with gemcitabine. CB1 and CB2 receptors are upregulated, and CBD inhibits the GPR55 receptor. These interactions may enhance the antineoplastic effect of gemcitabine, reducing cell cycle progression and growth.19
CBD also interacts with temozolomide (TMZ) by affecting extracellular vesicles used by cells for pro-oncogenic signaling and immune system evasion. Experiments on patient-derived glioblastoma cells, both chemotherapy-resistant and chemotherapy-sensitive, found that CBD increases the formation of extracellular vesicles with reduced levels of miR21 (pro-oncogenic) and elevated levels of miR126 (antioncogenic).20 CBD has also been found to decrease prohibitin levels, a protein associated with TMZ resistance.
In patients with glioblastoma, CBD combined with chemotherapeutic agents like TMZ, carmustine, doxorubicin, and cisplatin has shown increased sensitivity and improved tumor response. CBD is also known to inhibit NF-kB, a pathway that sustains tumor viability despite chemotherapy.21 Additionally, CBD inhibits the P-glycoprotein system, affecting chemotherapy efflux from neoplastic cells.14 In vitro studies have found that CBD is synergistic with bortezomib in inhibiting cancer cell viability. In another glioblastoma model, CBD enhanced the antiproliferative effects of both TMZ and carmustine.14
Different cannabis formulations may vary in how they interact with various cytotoxic chemotherapeutic agents. Some may potentiate the effects of chemotherapy and act synergistically to inhibit tumor growth, while others may lead to increased toxicity.10 More research is needed to determine which formulations, in combination with specific agents and doses, may have significant interactions that warrant adjustments in chemotherapy dosing.
Cannabis/Immunotherapy Interactions
Cannabis is an immunosuppressant. Data suggest the use of cannabis during immunotherapy worsens treatment outcomes in patients with cancer.22 Exogenous (THC) and endogenous (AEA) CBs negatively affect antitumor immunity by impairing the function of tumor-specific T cells via CB2 and by inhibiting the Jak1-STATs signaling in T cells through CNR2. Xiong et al found that THC reduces the therapeutic effect of anti-PD-1 therapy.22
In a prospective observational clinical study, Bar-Sela et al analyzed 102 patients with advanced cancer—of which 68 were cannabis users—that were started on immune checkpoint inhibitor therapy. The study found that cannabis users on anti-PD-1 (nivolumab, pembrolizumab), anti-CTLA-4 (ipilimumab), and anti-PD-L1 (durvalumab, atezolizumab) had a significant decrease in time to treatment progression and overall survival vs cannabis non-users.23 However, a 2023 study by Waissengrin et al found that concomitant use of medical cannabis with pembrolizumab had no harmful effect in advanced non-small cell lung cancer.24 Time to treatment progression of cannabis users did not differ from cannabis nonusers.25
Cannabis/Endocrine Therapy Interactions
In addition to having direct antineoplastic activity on tumor cells, data exist that show how cannabis affects the endocrine system. In animal models, cannabis has been found to suppress the whole hypothalamic-pituitary-adrenal axis as well as other hormones like thyroid, prolactin, and growth hormone. In breast cancer, cannabis competes with estrogen for the estrogen receptor and suppresses growth.26
The endocrine agents used by patients with cancer in this study were antiandrogens like abiraterone, enzalutamide, tamoxifen and anastrozole. Abiraterone is metabolized by CYP450 isoenzymes and uridine diphosphate glycosyltransferases. Cannabis inhibits both processes and therefore may lead to increased toxicities.27 Conversely, enzalutamide is a strong CYP3A inducer, and cannabis use during enzalutamide therapy may significantly increase the toxic effects of cannabis.
There is evidence that molecular pathways involving CB receptors and estrogens overlap, which may lead to interactions when antiestrogens are used in cannabis users with hormone receptor-positive breast cancer.26 In preclinical studies, tamoxifen has been shown to act as an inverse agonist on CB1 and CB2 receptors, though the significance of this finding is unclear. There is no research evaluating the effects of CBs on tamoxifen treatment. However, CBD has been found to potentiate the effectiveness of anastrozole or exemestane in breast cancer cell lines.28 Dobovišek et al demonstrated no inhibitory effect of CBD on the activity of tamoxifen, fulvestrant, or palbociclib in breast cancer cell lines.29 The interactions between hormone receptor-positive breast cancer and cannabinoids are complex, and the clinical significance of these interactions remains difficult to identify.
Cannabis/Targeted Therapy Interactions
The targeted therapies used by patients in this study included zanubrutinib, ibrutinib, sorafenib, acalabrutinib, dabrafenib, trametinib, trastuzumab, bevacizumab, daratumumab, and imatinib. Compared to other classes of cancer treatments, most studies have not demonstrated decreased efficacy or increased toxicity of targeted anticancer drugs when used concomitantly with CBD.29
Trastuzumab is a recombinant humanized monoclonal antibody that targets the proto-oncogene HER2/neu. It is used to treat select patients with metastatic breast cancer. Studies have shown that cannabis use does not attenuate the effectiveness of trastuzumab in HER2-positive and triple-negative breast cancer subtypes.29 One study found that CBD, in combination with chemotherapeutics and Bruton tyrosine kinase inhibitors, such as ibrutinib and zanubrutinib, has synergistic potential for treating diffuse large B-cell lymphoma and mantle cell lymphoma cell lines. This synergy is attributed to the CB1 antagonist activity of cannabis against diffuse large B-cell lymphoma and mantle cell lymphoma cell lines.30,31
Moreover, combining cannabinoids with bevacizumab (a monoclonal anti-VEGF antibody) has been shown to decrease tumor growth and intratumoral hypoxia in clinically relevant human glioblastoma models. This effect is mediated through the downregulation of HIF-1α.32 Long-term studies evaluating the potential harmful or synergistic potential of CBD on targeted anticancer therapy are needed.
CONCLUSIONS
This exploratory study of patients receiving cancer therapy at WJVAMC found a significant prevalence of concurrent cannabis use among patients undergoing antineoplastic treatments. Given that many antineoplastic agents are metabolized by the CYP450 enzyme system, the findings of this study suggest that concurrent cannabis use may pose risks of suboptimal therapeutic outcomes due to potential interactions affecting drug metabolism. These interactions could impact the efficacy and toxicity of the antineoplastic therapies, potentially leading to diminished therapeutic effects or exacerbated adverse reactions.
Patients should be informed regarding the potential decreased efficacy of immunotherapy with concurrent use of cannabis products. They should also be aware of the possibility of increased toxicity with other treatment modalities, though the exact impact on efficacy remains unclear. This highlights the necessity of caution when combining cannabis with prescribed cancer treatments.
While this study identified possible interactions, its data are preliminary and highlight the need for more rigorous research. Future studies should include larger, well-designed cohorts to compare outcomes between cannabis users and nonusers. Such research is essential to fully elucidate the clinical implications of cannabis use during cancer treatment, address the high prevalence of cannabis use among patients with cancer, and mitigate potential risks associated with combining cannabis products with antineoplastic therapies. This will ensure that treatment strategies are optimized for safety and efficacy in this complex patient population.
- Steele G, Arneson T, Zylla D. A comprehensive review of cannabis in patients with cancer: availability in the USA, general efficacy, and safety. Curr Oncol Rep. 2019;21:1-10. doi:10.1007/s11912-019-0757-7
- Brown D, Watson M, Schloss J. Pharmacological evidence of medicinal cannabis in oncology: a systematic review. Support Care Cancer. 2019;27:3195-320. doi:10.1007/s00520-019-04774-5
- Abrams DI. Integrating cannabis into clinical cancer care. Curr Oncol. 2016;23:S8-S14. doi:10.37.47/co.23.3099
- Serafimovska T, Darkovska-Serafimovska M, Stefkov G, Arsova-Sarafinovska Z, Balkanov T. Pharmacotherapeutic considerations for use of cannabinoids to relieve symptoms of nausea and vomiting induced by chemotherapy. Folia Medica (Plovdiv). 2020;62:668-678. doi:10.3897/folmed.62e51478
- Bar-Sela G, Zalman D, Semenysty V, Ballan E. The effects of dosage-controlled cannabis capsules on cancer-related cachexia and anorexia syndrome in advanced cancer patients: pilot study. Integr Cancer Ther. 2019;18:1534735419881498. doi:10.1177/1534735419881498
- Pederson ER, Villarosa-Hurlocker MC, Prince MA. Use of protective behavioral strategies among young adult veteran marijuana users. Cannabis. 2018;1:14-27.
- Schilling S, Melzer R, McCabe PF. Cannabis sativa. Curr Biol. 2020;30:R8-R9. doi:10.1016/j.cub.2019.10.039
- McDougle DR, Kambalyal A, Meling DD, Das A. Endocannabinoids anandamide and 2-arachidonoylglycerol are substrates for human CYP2J2 epoxygenase. J Pharmacol Exp Ther. 2014;351:616-627. doi:10.1124/jpet.114216598
- Movsesyan VA, Stoica BA, Yakovlev AG, et al. Anandamide-induced cell death in primary neuronal cultures: role of calpain and caspase pathways. Cell Death Differ. 2004;11:1121-1132. doi:10.1038/sj.cdd.4401442
- Cherkasova V, Wang B, Gerasymchuk M, Fiselier A, Kovalchuk O, Kovalchuk I. Use of cannabis and cannabinoids for treatment of cancer. Cancers (Basel). 2022;14:5142. doi:10.3390/cancers14205142
- Engels FK, Ten Tije AJ, Baker SD, et al. Effect of cytochrome P450 3A4 inhibition on the pharmacokinetics of docetaxel. Clin Pharmacol Ther. 2004;75:448-454. doi:10.1016/j.clpt.2004.01.001
- Alsherbiny MA, Li CG. Medicinal cannabis-potential drug interactions. Medicines (Basel). 2018;6:3. doi:10.3390/medicines6010003
- Stout SM, Cimino NM. Exogenous cannabinoids as substrates, inhibitors, and inducers of human drug metabolizing enzymes: a systematic review. Drug Metab Rev. 2014;46:86-95. doi:10.3109/03602532.2013.849268
- Opitz BJ, Ostroff ML, Whitman AC. The potential clinical implications and importance of drug interactions between anticancer agents and cannabidiol in patients with cancer. J Pharm Pract. 2020;33:506-512. doi:10.1177/0897190019828920
- Guzmán M, Duarte MJ, Blázquez C, et al. A pilot clinical study of D9-tetrahydrocannabinol in patients with recurrent glioblastoma multiforme. Br J Cancer. 2006;95:197-203. doi:10.1038/sj.bjc.6603236
- Kopjar N, Fuchs N, Brcic Karaconji I, et al. High doses of ?9-tetrahydrocannabinol might impair irinotecan chemotherapy: a review of potentially harmful interactions. Clin Drug Investig. 2020;40:775-787. doi:10.1007/s40261-020-00954-y
- Bouquié R, Deslandes G, Mazaré H, et al. Cannabis and anticancer drugs: societal usage and expected pharmacological interactions - a review. Fundam Clin Pharmacol. 2018;32:462-484. doi:10.1111/fcp.12373
- Buchtova T, Lukac D, Skrott Z, Chroma K, Bartek J, Mistrik M. Drug-drug interactions of cannabidiol with standard-of-care chemotherapeutics. Int J Mol Sci. 2023;24:2885. doi:10.3390/ijms24032885
- Sharafi G, He H, Nikfarjam M. Potential use of cannabinoids for the treatment of pancreatic cancer. J Pancreat Cancer. 2019;5:1-7. doi:10.1089/pancan.2018.0019
- Kosgodage US, Uysal-Onganer P, MacLatchy A, et al. Cannabidiol affects extracellular vesicle release, miR21 and miR126, and reduces prohibitin protein in glioblastoma multiforme cells. Transl Oncol. 2019;12:513-522. doi:10.1016/j.tranon.2018.12.004
- Elbaz M, Nasser MW, Ravi J, et al. Modulation of the tumor microenvironment and inhibition of EGF/EGFR pathway: novel anti-tumor mechanisms of cannabidiol in breast cancer. Mol Oncol. 2015;9:906-919. doi:10.1016/j.molonc.2014.12.010
- Xiong X, Chen S, Shen J, et al. Cannabis suppresses anti-tumor immunity by inhibiting JAK/STAT signaling in T cells through CNR2. Signal Transduct Target Ther. 2022;7:99. doi:10.1038/s41392-022-00918-y
- Bar-Sela G, Cohen I, Campisi-Pinto S, et al. Cannabis consumption used by cancer patients during immunotherapy correlates with poor clinical outcome. Cancers (Basel). 2020;12:2447. doi:10.3390/cancers12092447
- Waissengrin B, Leshem Y, Taya M, et al. The use of medical cannabis concomitantly with immune checkpoint inhibitors in non-small cell lung cancer: a sigh of relief? Eur J Cancer. 2023;180:52-61. doi:10.1016/j.ejca.2022.11.022
- Sarsembayeva A, Schicho R. Cannabinoids and the endocannabinoid system in immunotherapy: helpful or harmful? Front Oncol. 2023;13:1296906. doi:10.3389/fonc.2023.1296906
- Kisková T, Mungenast F, Suváková M, Jäger W, Thalhammer T. Future aspects for cannabinoids in breast cancer therapy. Int J Mol Sci. 2019;20:1673. doi:10.3390/ijms20071673
- Woerdenbag HJ, Olinga P, Kok EA, et al. Potential, limitations and risks of cannabis-derived products in cancer treatment. Cancers (Basel). 2023;15:2119. doi:10.3390/cancers15072119
- Almeida CF, Teixeira N, Valente MJ, Vinggaard AM, Correia-da-Silva G, Amaral C. Cannabidiol as a promising adjuvant therapy for estrogen receptor-positive breast tumors: unveiling its benefits with aromatase inhibitors. Cancers (Basel). 2023;15:2517. doi:10.3390/cancers15092517
- Dobovišek L, Novak M, Krstanovic F, Borštnar S, Turnšek TL, Debeljak N. Effect of combining CBD with standard breast cancer therapeutics. Adv Cancer Biol Metastasis. 2022;4:100038. doi:10.1016/j.adcanc.2022.100038
- Strong T, Rauvolfova J, Jackson E, Pham LV, Bryant J. Synergistic effect of cannabidiol with conventional chemotherapy treatment. Blood. 2018;132:5382. doi:10.1182/blood-2018-99-116749
- Maggi F, Morelli MB, Tomassoni D, et al. The effects of cannabidiol via TRPV2 channel in chronic myeloid leukemia cells and its combination with imatinib. Cancer Sci. 2022;113:1235-1249. doi:10.1111/cas.15257
- Obad N, Janji B, Prestegarden L, et al. ATPS-59 improving efficacy of bevacizumab treatment in glioblastoma by targeting hif1 alpha. Neuro Oncol. 2015;17:v31. doi:10.1093/neuonc/nov204.59
Cannabis has a long history of use for medicinal and recreational purposes. Research illustrates the potential benefits and increased prevalence of cannabis use in patients with cancer.1 Cannabis products have been shown to possess antineoplastic and palliative activity, improving nociceptive and neuropathic pain in addition to chemotherapy-related nausea and vomiting.2-5 Despite these developments and changing social attitudes toward cannabis, there remains a lack of comprehensive data on patient perspectives regarding its use, especially in regions where cannabis remains illegal. This knowledge gap is notable among veterans undergoing cancer treatment in states where cannabis is prohibited. Up to 57% of veterans report lifetime marijuana use, making it crucial to understand this population’s cannabis use patterns and potential interactions with cancer treatments.6
This observational study sought to determine the prevalence of cannabis use among patients undergoing cancer treatment at the US Department of Veterans Affairs (VA) Memphis Healthcare System and evaluate the potential risks associated with combining cannabis products with anticancer therapies.
METHODS
This prospective observational study identified cannabis use among veterans receiving antineoplastic therapy at the Lt. Col. Luke Weathers Jr. VA Medical Center (WJVAMC) and analyzed potential interactions between cannabis products and their cancer treatments. Participants included adults aged > 18 years undergoing antineoplastic therapy at WJVAMC who consented to the study. Data collection involved a written survey approved by the WJVAMC Institutional Review Board and verbal consent from participants. The survey asked participants about their cannabis use in the previous 90 days, including details on quantity, frequency, and method of consumption (eg, inhalation, oral, topical). No incentives were offered for participation.
Surveys from 50 patients who used cannabis were analyzed and their electronic health records were reviewed for sex, age, diagnosis, and antineoplastic regimen. This information was securely stored. A literature review was conducted using PubMed and the Cochrane Library to explore potential interactions between cannabis and the antineoplastic agents that were prescribed to patients in the study, focusing on toxicity, efficacy, or synergistic effects.
Patients were categorized into 4 groups based on treatment: cytotoxic chemotherapy, immunotherapy, endocrine therapy, and targeted therapy. Patients undergoing multiple types of therapies were included in each applicable category.
RESULTS
A total of 132 patients agreed to participate. Fifty patients (38%) acknowledged using cannabis products within 90 days. The patients that used cannabis products within 90 days of the survey reported the following malignancies: 8 patients (16%) had prostate cancer, 3 patients (6%) had hepatocellular carcinoma, 7 patients (14%) had pancreatic carcinoma, 5 patients (10%) had multiple myeloma, 3 patients (6%) had chronic lymphocytic leukemia, 9 patients (18%) had non-small cell lung cancer, 3 patients (6%) had breast cancer, 3 (6%) patients had bladder cancer, 2 patients (4%) had renal cell carcinoma, 1 (2%) patient had chronic myeloid leukemia, 1 (2%) patient had renal amyloid, 1 patient (2%) had supraglottic squamous cell carcinoma, 1 patient (2%) had esophageal carcinoma, 1 (2%) patient had small cell lung cancer, 1 (2%) patient had gastric cancer, and 1 patient (2%) had follicular lymphoma.
Five (10%) of the cannabis users were female, and 45 (90%) were male. Twenty-nine patients (58%) were aged 66 to 75 years, 16 (32%) were aged 56 to 65 years, 3 (6%) were aged 46 to 55 years, and 2 (4%) were aged 76 to 85 years.
Thirty-five patients (70%) inhaled cannabis as opposed to using it via other formulations or a combination (eg, inhalation and topical). Thirty-eight percent of patients used cannabis once daily, 24% used < 1 daily, and 28% used it ≥ 2 times daily. Five patients (10%) did not report the frequency of their cannabis use. Among the patients who reported cannabis use, 21 (42%) were undergoing cytotoxic chemotherapy, 19 (38%) were undergoing immunotherapy, 12 (24%) were undergoing targeted therapy, and 10 (20%) were undergoing endocrine therapy. Some patients were treated with multiple types of antineoplastic agents and were counted in multiple categories (Table 1).

Following a literature review of cannabis and antineoplastic agents, patients were evaluated for the potential effects of cannabis on their treatment. The literature review revealed that 31% of cytotoxic chemotherapy agents received by patients in this study might have increased toxicity, and 19% could have reduced efficacy when combined with cannabis. Among immunotherapy agents received by patients in this study, 70% might have decreased efficacy when combined with cannabis use. For targeted therapies, 35% could have increased toxicity, and 70% of endocrine agents could potentially have decreased efficacy (Table 2).

DISCUSSION
This prospective study corroborates previous research by demonstrating that more than one-third of patients receiving oncology care at WJVAMC use cannabis, most often inhaled. Cannabis use was observed among patients undergoing various cancer therapies, including cytotoxic chemotherapy, immunotherapy, targeted therapy, and endocrine therapy. The most common malignancies among cannabis users at WJVAMC include patients with lung cancer, prostate cancer, pancreatic cancer, and multiple myeloma. Cannabis use in patients with pancreatic cancer and multiple myeloma was significantly out of proportion to their prevalence at WJVAMC. This could potentially be due to their drastic effect on quality of life.
Cannabis use increased the risk of toxicity in patients treated with cytotoxic chemotherapy and targeted therapy. Cannabis use potentially decreased efficacy for patients treated with cytotoxic chemotherapy and/or immunotherapy. Cannabis use did not increase the risk of toxicity or efficacy in patients treated with endocrine therapy.
Antineoplastics/Cannabis Interactions
The potential interactions between cannabis and antineoplastic therapies administered at WJVAMC are worth exploring. While this review aims to shed light on possible interactions, it is important to acknowledge that much of the data is preliminary and derived from in vitro studies. The interactions should be interpreted as potential risks rather than established facts. Additional research is needed to confirm these interactions and effectively guide clinical practices. Understanding these dynamics is essential to optimize patient care and manage the complex interplay between cannabis use and cancer treatment.
Originating from Central Asia, the cannabis plant contains > 400 medicinally relevant compounds, of which about 100 are cannabinoids (CBs). Key CBs are cannabidiol (CBD), a nonpsychoactive compound, and ?-9-tetrahydrocannabinol (THC), a psychoactive compound. THC can make up 20% to 30% of the dry weight of female cannabis flowers.7
CBs act through the endocannabinoid system, involving CB1 and CB2 receptors, endogenous CBs like anandamide (AEA) and 2-arachidonoylglycerol, and various enzymes. These endogenous CBs, derived from arachidonic acid, play roles in cell growth and proliferation.8 In some studies, AEA has induced apoptosis in neuroblastoma cells and inhibited proliferation in breast cancer cells. However, other research suggests AEA may block apoptosis under certain conditions.9
CB receptors are transmembrane proteins that interact with CBs differently depending on tissue type and CB structure. Synthetic CBs are designed to target specific receptors, while natural CBs may act as both agonists and antagonists.10
Cytochrome P450 Metabolism
The human cytochrome P450 (CYP) 3A subfamily affects the metabolism of many therapeutic drugs, including cancer therapeutics.11 The various compositions of cannabis are primarily metabolized by the CYP450 pathway, the same as many cancer-directed pharmacologic treatments. CBs act as both CYP inducers and inhibitors. THC, for example, is a CYP inducer whereas CBD is a CYP inhibitor; both are found in the various compounds available for consumption.12,13 Pharmacology research has suggested potential interactions and effects on established adverse symptoms, but clinical data are lacking, and current research revealing interactions are only recognized in vitro.14
The Antineoplastic Activity of Cannabis
CBs can affect various cancer-related pathways such as PKB, AMPK, CAMKK-ß, mTOR, PDHK, HIF-1 a, and PPAR-γ. Δ-9-THC can selectively induce apoptosis in tumor cells without harming normal cells, though the exact mechanism remains unclear. Promising results from early mouse studies led to a 2006 human study where intracranial Δ-9-THC in patients with recurrent glioma yielded a median survival of 24 weeks, with 2 patients surviving > 1 year.15
In a 2022 review article, Cherkasova et al highlighted potential clinical benefits of cannabis across various cancers. They found that upregulated CB1 receptors in colon cancer might enhance the effect of 5-fluorouracil. However, many studies are preliminary and therefore not definitive.10
Additional research is needed to refine these findings. Challenges include variability in cannabis formulations, the complex tumor microenvironment, and the legal and psychoactive issues surrounding cannabis use. These factors complicate the design of multicenter randomized studies and may deter patients from disclosing cannabis use, thereby hindering efforts to fully understand its therapeutic potential.
Cannabis/Cytotoxic Chemotherapy Interactions
The chemotherapy agents used in this study included carboplatin, paclitaxel, 5-fluorouracil, etoposide, irinotecan, oxaliplatin, pemetrexed, docetaxel, cabazitaxel, T-DM1, gemcitabine, and cyclophosphamide. There is a paucity of research regarding the interactions between cytotoxic chemotherapy and cannabis. Most studies focused on CBD due to its inhibition of the CYP450 pathway, which is used for metabolizing cytotoxic chemotherapies. Through this mechanism, CBD could potentially increase the concentrations of chemotherapeutic agents, enhancing their toxicity.
When combined with irinotecan, cannabis can pose risks. Δ-9-THC undergoes first-pass metabolism in the liver, mediated by the CYP450 system and CYP3A4. The glucuronidation of irinotecan is mediated by uridine diphosphate glycosyltransferase, leading to its recirculation within the hepatic system and potentially increased toxicity due to prolonged drug presence. Cannabis may also compete with drug binding to albumin, altering the plasma concentrations of irinotecan and its conversion to the metabolite SN38.16
Cannabis products can affect chemotherapy levels by interacting with cellular transporters. The MRP1 transporter family, encoded by the ABCC gene family, is expressed mainly in the lung, kidney, skeletal muscle, and hematopoietic stem cells. A 2018 study investigating the effects of THC, CBD, and CBN on MRP1 transporters found that the presence of a cannabis component increased the concentration of vincristine 3-fold. Additional studies suggest the interaction with the CB1 receptor may lead to changes in the expression of MRP1 transporters.17
CBD inhibits the BCRP transporter, which functions as an efflux pump for methotrexate. Consequently, CBD can increase methotrexate levels, potentially enhancing efficacy but also worsening adverse effects.18
In pancreatic cancer, CBD specifically interacts with gemcitabine. CB1 and CB2 receptors are upregulated, and CBD inhibits the GPR55 receptor. These interactions may enhance the antineoplastic effect of gemcitabine, reducing cell cycle progression and growth.19
CBD also interacts with temozolomide (TMZ) by affecting extracellular vesicles used by cells for pro-oncogenic signaling and immune system evasion. Experiments on patient-derived glioblastoma cells, both chemotherapy-resistant and chemotherapy-sensitive, found that CBD increases the formation of extracellular vesicles with reduced levels of miR21 (pro-oncogenic) and elevated levels of miR126 (antioncogenic).20 CBD has also been found to decrease prohibitin levels, a protein associated with TMZ resistance.
In patients with glioblastoma, CBD combined with chemotherapeutic agents like TMZ, carmustine, doxorubicin, and cisplatin has shown increased sensitivity and improved tumor response. CBD is also known to inhibit NF-kB, a pathway that sustains tumor viability despite chemotherapy.21 Additionally, CBD inhibits the P-glycoprotein system, affecting chemotherapy efflux from neoplastic cells.14 In vitro studies have found that CBD is synergistic with bortezomib in inhibiting cancer cell viability. In another glioblastoma model, CBD enhanced the antiproliferative effects of both TMZ and carmustine.14
Different cannabis formulations may vary in how they interact with various cytotoxic chemotherapeutic agents. Some may potentiate the effects of chemotherapy and act synergistically to inhibit tumor growth, while others may lead to increased toxicity.10 More research is needed to determine which formulations, in combination with specific agents and doses, may have significant interactions that warrant adjustments in chemotherapy dosing.
Cannabis/Immunotherapy Interactions
Cannabis is an immunosuppressant. Data suggest the use of cannabis during immunotherapy worsens treatment outcomes in patients with cancer.22 Exogenous (THC) and endogenous (AEA) CBs negatively affect antitumor immunity by impairing the function of tumor-specific T cells via CB2 and by inhibiting the Jak1-STATs signaling in T cells through CNR2. Xiong et al found that THC reduces the therapeutic effect of anti-PD-1 therapy.22
In a prospective observational clinical study, Bar-Sela et al analyzed 102 patients with advanced cancer—of which 68 were cannabis users—that were started on immune checkpoint inhibitor therapy. The study found that cannabis users on anti-PD-1 (nivolumab, pembrolizumab), anti-CTLA-4 (ipilimumab), and anti-PD-L1 (durvalumab, atezolizumab) had a significant decrease in time to treatment progression and overall survival vs cannabis non-users.23 However, a 2023 study by Waissengrin et al found that concomitant use of medical cannabis with pembrolizumab had no harmful effect in advanced non-small cell lung cancer.24 Time to treatment progression of cannabis users did not differ from cannabis nonusers.25
Cannabis/Endocrine Therapy Interactions
In addition to having direct antineoplastic activity on tumor cells, data exist that show how cannabis affects the endocrine system. In animal models, cannabis has been found to suppress the whole hypothalamic-pituitary-adrenal axis as well as other hormones like thyroid, prolactin, and growth hormone. In breast cancer, cannabis competes with estrogen for the estrogen receptor and suppresses growth.26
The endocrine agents used by patients with cancer in this study were antiandrogens like abiraterone, enzalutamide, tamoxifen and anastrozole. Abiraterone is metabolized by CYP450 isoenzymes and uridine diphosphate glycosyltransferases. Cannabis inhibits both processes and therefore may lead to increased toxicities.27 Conversely, enzalutamide is a strong CYP3A inducer, and cannabis use during enzalutamide therapy may significantly increase the toxic effects of cannabis.
There is evidence that molecular pathways involving CB receptors and estrogens overlap, which may lead to interactions when antiestrogens are used in cannabis users with hormone receptor-positive breast cancer.26 In preclinical studies, tamoxifen has been shown to act as an inverse agonist on CB1 and CB2 receptors, though the significance of this finding is unclear. There is no research evaluating the effects of CBs on tamoxifen treatment. However, CBD has been found to potentiate the effectiveness of anastrozole or exemestane in breast cancer cell lines.28 Dobovišek et al demonstrated no inhibitory effect of CBD on the activity of tamoxifen, fulvestrant, or palbociclib in breast cancer cell lines.29 The interactions between hormone receptor-positive breast cancer and cannabinoids are complex, and the clinical significance of these interactions remains difficult to identify.
Cannabis/Targeted Therapy Interactions
The targeted therapies used by patients in this study included zanubrutinib, ibrutinib, sorafenib, acalabrutinib, dabrafenib, trametinib, trastuzumab, bevacizumab, daratumumab, and imatinib. Compared to other classes of cancer treatments, most studies have not demonstrated decreased efficacy or increased toxicity of targeted anticancer drugs when used concomitantly with CBD.29
Trastuzumab is a recombinant humanized monoclonal antibody that targets the proto-oncogene HER2/neu. It is used to treat select patients with metastatic breast cancer. Studies have shown that cannabis use does not attenuate the effectiveness of trastuzumab in HER2-positive and triple-negative breast cancer subtypes.29 One study found that CBD, in combination with chemotherapeutics and Bruton tyrosine kinase inhibitors, such as ibrutinib and zanubrutinib, has synergistic potential for treating diffuse large B-cell lymphoma and mantle cell lymphoma cell lines. This synergy is attributed to the CB1 antagonist activity of cannabis against diffuse large B-cell lymphoma and mantle cell lymphoma cell lines.30,31
Moreover, combining cannabinoids with bevacizumab (a monoclonal anti-VEGF antibody) has been shown to decrease tumor growth and intratumoral hypoxia in clinically relevant human glioblastoma models. This effect is mediated through the downregulation of HIF-1α.32 Long-term studies evaluating the potential harmful or synergistic potential of CBD on targeted anticancer therapy are needed.
CONCLUSIONS
This exploratory study of patients receiving cancer therapy at WJVAMC found a significant prevalence of concurrent cannabis use among patients undergoing antineoplastic treatments. Given that many antineoplastic agents are metabolized by the CYP450 enzyme system, the findings of this study suggest that concurrent cannabis use may pose risks of suboptimal therapeutic outcomes due to potential interactions affecting drug metabolism. These interactions could impact the efficacy and toxicity of the antineoplastic therapies, potentially leading to diminished therapeutic effects or exacerbated adverse reactions.
Patients should be informed regarding the potential decreased efficacy of immunotherapy with concurrent use of cannabis products. They should also be aware of the possibility of increased toxicity with other treatment modalities, though the exact impact on efficacy remains unclear. This highlights the necessity of caution when combining cannabis with prescribed cancer treatments.
While this study identified possible interactions, its data are preliminary and highlight the need for more rigorous research. Future studies should include larger, well-designed cohorts to compare outcomes between cannabis users and nonusers. Such research is essential to fully elucidate the clinical implications of cannabis use during cancer treatment, address the high prevalence of cannabis use among patients with cancer, and mitigate potential risks associated with combining cannabis products with antineoplastic therapies. This will ensure that treatment strategies are optimized for safety and efficacy in this complex patient population.
Cannabis has a long history of use for medicinal and recreational purposes. Research illustrates the potential benefits and increased prevalence of cannabis use in patients with cancer.1 Cannabis products have been shown to possess antineoplastic and palliative activity, improving nociceptive and neuropathic pain in addition to chemotherapy-related nausea and vomiting.2-5 Despite these developments and changing social attitudes toward cannabis, there remains a lack of comprehensive data on patient perspectives regarding its use, especially in regions where cannabis remains illegal. This knowledge gap is notable among veterans undergoing cancer treatment in states where cannabis is prohibited. Up to 57% of veterans report lifetime marijuana use, making it crucial to understand this population’s cannabis use patterns and potential interactions with cancer treatments.6
This observational study sought to determine the prevalence of cannabis use among patients undergoing cancer treatment at the US Department of Veterans Affairs (VA) Memphis Healthcare System and evaluate the potential risks associated with combining cannabis products with anticancer therapies.
METHODS
This prospective observational study identified cannabis use among veterans receiving antineoplastic therapy at the Lt. Col. Luke Weathers Jr. VA Medical Center (WJVAMC) and analyzed potential interactions between cannabis products and their cancer treatments. Participants included adults aged > 18 years undergoing antineoplastic therapy at WJVAMC who consented to the study. Data collection involved a written survey approved by the WJVAMC Institutional Review Board and verbal consent from participants. The survey asked participants about their cannabis use in the previous 90 days, including details on quantity, frequency, and method of consumption (eg, inhalation, oral, topical). No incentives were offered for participation.
Surveys from 50 patients who used cannabis were analyzed and their electronic health records were reviewed for sex, age, diagnosis, and antineoplastic regimen. This information was securely stored. A literature review was conducted using PubMed and the Cochrane Library to explore potential interactions between cannabis and the antineoplastic agents that were prescribed to patients in the study, focusing on toxicity, efficacy, or synergistic effects.
Patients were categorized into 4 groups based on treatment: cytotoxic chemotherapy, immunotherapy, endocrine therapy, and targeted therapy. Patients undergoing multiple types of therapies were included in each applicable category.
RESULTS
A total of 132 patients agreed to participate. Fifty patients (38%) acknowledged using cannabis products within 90 days. The patients that used cannabis products within 90 days of the survey reported the following malignancies: 8 patients (16%) had prostate cancer, 3 patients (6%) had hepatocellular carcinoma, 7 patients (14%) had pancreatic carcinoma, 5 patients (10%) had multiple myeloma, 3 patients (6%) had chronic lymphocytic leukemia, 9 patients (18%) had non-small cell lung cancer, 3 patients (6%) had breast cancer, 3 (6%) patients had bladder cancer, 2 patients (4%) had renal cell carcinoma, 1 (2%) patient had chronic myeloid leukemia, 1 (2%) patient had renal amyloid, 1 patient (2%) had supraglottic squamous cell carcinoma, 1 patient (2%) had esophageal carcinoma, 1 (2%) patient had small cell lung cancer, 1 (2%) patient had gastric cancer, and 1 patient (2%) had follicular lymphoma.
Five (10%) of the cannabis users were female, and 45 (90%) were male. Twenty-nine patients (58%) were aged 66 to 75 years, 16 (32%) were aged 56 to 65 years, 3 (6%) were aged 46 to 55 years, and 2 (4%) were aged 76 to 85 years.
Thirty-five patients (70%) inhaled cannabis as opposed to using it via other formulations or a combination (eg, inhalation and topical). Thirty-eight percent of patients used cannabis once daily, 24% used < 1 daily, and 28% used it ≥ 2 times daily. Five patients (10%) did not report the frequency of their cannabis use. Among the patients who reported cannabis use, 21 (42%) were undergoing cytotoxic chemotherapy, 19 (38%) were undergoing immunotherapy, 12 (24%) were undergoing targeted therapy, and 10 (20%) were undergoing endocrine therapy. Some patients were treated with multiple types of antineoplastic agents and were counted in multiple categories (Table 1).

Following a literature review of cannabis and antineoplastic agents, patients were evaluated for the potential effects of cannabis on their treatment. The literature review revealed that 31% of cytotoxic chemotherapy agents received by patients in this study might have increased toxicity, and 19% could have reduced efficacy when combined with cannabis. Among immunotherapy agents received by patients in this study, 70% might have decreased efficacy when combined with cannabis use. For targeted therapies, 35% could have increased toxicity, and 70% of endocrine agents could potentially have decreased efficacy (Table 2).

DISCUSSION
This prospective study corroborates previous research by demonstrating that more than one-third of patients receiving oncology care at WJVAMC use cannabis, most often inhaled. Cannabis use was observed among patients undergoing various cancer therapies, including cytotoxic chemotherapy, immunotherapy, targeted therapy, and endocrine therapy. The most common malignancies among cannabis users at WJVAMC include patients with lung cancer, prostate cancer, pancreatic cancer, and multiple myeloma. Cannabis use in patients with pancreatic cancer and multiple myeloma was significantly out of proportion to their prevalence at WJVAMC. This could potentially be due to their drastic effect on quality of life.
Cannabis use increased the risk of toxicity in patients treated with cytotoxic chemotherapy and targeted therapy. Cannabis use potentially decreased efficacy for patients treated with cytotoxic chemotherapy and/or immunotherapy. Cannabis use did not increase the risk of toxicity or efficacy in patients treated with endocrine therapy.
Antineoplastics/Cannabis Interactions
The potential interactions between cannabis and antineoplastic therapies administered at WJVAMC are worth exploring. While this review aims to shed light on possible interactions, it is important to acknowledge that much of the data is preliminary and derived from in vitro studies. The interactions should be interpreted as potential risks rather than established facts. Additional research is needed to confirm these interactions and effectively guide clinical practices. Understanding these dynamics is essential to optimize patient care and manage the complex interplay between cannabis use and cancer treatment.
Originating from Central Asia, the cannabis plant contains > 400 medicinally relevant compounds, of which about 100 are cannabinoids (CBs). Key CBs are cannabidiol (CBD), a nonpsychoactive compound, and ?-9-tetrahydrocannabinol (THC), a psychoactive compound. THC can make up 20% to 30% of the dry weight of female cannabis flowers.7
CBs act through the endocannabinoid system, involving CB1 and CB2 receptors, endogenous CBs like anandamide (AEA) and 2-arachidonoylglycerol, and various enzymes. These endogenous CBs, derived from arachidonic acid, play roles in cell growth and proliferation.8 In some studies, AEA has induced apoptosis in neuroblastoma cells and inhibited proliferation in breast cancer cells. However, other research suggests AEA may block apoptosis under certain conditions.9
CB receptors are transmembrane proteins that interact with CBs differently depending on tissue type and CB structure. Synthetic CBs are designed to target specific receptors, while natural CBs may act as both agonists and antagonists.10
Cytochrome P450 Metabolism
The human cytochrome P450 (CYP) 3A subfamily affects the metabolism of many therapeutic drugs, including cancer therapeutics.11 The various compositions of cannabis are primarily metabolized by the CYP450 pathway, the same as many cancer-directed pharmacologic treatments. CBs act as both CYP inducers and inhibitors. THC, for example, is a CYP inducer whereas CBD is a CYP inhibitor; both are found in the various compounds available for consumption.12,13 Pharmacology research has suggested potential interactions and effects on established adverse symptoms, but clinical data are lacking, and current research revealing interactions are only recognized in vitro.14
The Antineoplastic Activity of Cannabis
CBs can affect various cancer-related pathways such as PKB, AMPK, CAMKK-ß, mTOR, PDHK, HIF-1 a, and PPAR-γ. Δ-9-THC can selectively induce apoptosis in tumor cells without harming normal cells, though the exact mechanism remains unclear. Promising results from early mouse studies led to a 2006 human study where intracranial Δ-9-THC in patients with recurrent glioma yielded a median survival of 24 weeks, with 2 patients surviving > 1 year.15
In a 2022 review article, Cherkasova et al highlighted potential clinical benefits of cannabis across various cancers. They found that upregulated CB1 receptors in colon cancer might enhance the effect of 5-fluorouracil. However, many studies are preliminary and therefore not definitive.10
Additional research is needed to refine these findings. Challenges include variability in cannabis formulations, the complex tumor microenvironment, and the legal and psychoactive issues surrounding cannabis use. These factors complicate the design of multicenter randomized studies and may deter patients from disclosing cannabis use, thereby hindering efforts to fully understand its therapeutic potential.
Cannabis/Cytotoxic Chemotherapy Interactions
The chemotherapy agents used in this study included carboplatin, paclitaxel, 5-fluorouracil, etoposide, irinotecan, oxaliplatin, pemetrexed, docetaxel, cabazitaxel, T-DM1, gemcitabine, and cyclophosphamide. There is a paucity of research regarding the interactions between cytotoxic chemotherapy and cannabis. Most studies focused on CBD due to its inhibition of the CYP450 pathway, which is used for metabolizing cytotoxic chemotherapies. Through this mechanism, CBD could potentially increase the concentrations of chemotherapeutic agents, enhancing their toxicity.
When combined with irinotecan, cannabis can pose risks. Δ-9-THC undergoes first-pass metabolism in the liver, mediated by the CYP450 system and CYP3A4. The glucuronidation of irinotecan is mediated by uridine diphosphate glycosyltransferase, leading to its recirculation within the hepatic system and potentially increased toxicity due to prolonged drug presence. Cannabis may also compete with drug binding to albumin, altering the plasma concentrations of irinotecan and its conversion to the metabolite SN38.16
Cannabis products can affect chemotherapy levels by interacting with cellular transporters. The MRP1 transporter family, encoded by the ABCC gene family, is expressed mainly in the lung, kidney, skeletal muscle, and hematopoietic stem cells. A 2018 study investigating the effects of THC, CBD, and CBN on MRP1 transporters found that the presence of a cannabis component increased the concentration of vincristine 3-fold. Additional studies suggest the interaction with the CB1 receptor may lead to changes in the expression of MRP1 transporters.17
CBD inhibits the BCRP transporter, which functions as an efflux pump for methotrexate. Consequently, CBD can increase methotrexate levels, potentially enhancing efficacy but also worsening adverse effects.18
In pancreatic cancer, CBD specifically interacts with gemcitabine. CB1 and CB2 receptors are upregulated, and CBD inhibits the GPR55 receptor. These interactions may enhance the antineoplastic effect of gemcitabine, reducing cell cycle progression and growth.19
CBD also interacts with temozolomide (TMZ) by affecting extracellular vesicles used by cells for pro-oncogenic signaling and immune system evasion. Experiments on patient-derived glioblastoma cells, both chemotherapy-resistant and chemotherapy-sensitive, found that CBD increases the formation of extracellular vesicles with reduced levels of miR21 (pro-oncogenic) and elevated levels of miR126 (antioncogenic).20 CBD has also been found to decrease prohibitin levels, a protein associated with TMZ resistance.
In patients with glioblastoma, CBD combined with chemotherapeutic agents like TMZ, carmustine, doxorubicin, and cisplatin has shown increased sensitivity and improved tumor response. CBD is also known to inhibit NF-kB, a pathway that sustains tumor viability despite chemotherapy.21 Additionally, CBD inhibits the P-glycoprotein system, affecting chemotherapy efflux from neoplastic cells.14 In vitro studies have found that CBD is synergistic with bortezomib in inhibiting cancer cell viability. In another glioblastoma model, CBD enhanced the antiproliferative effects of both TMZ and carmustine.14
Different cannabis formulations may vary in how they interact with various cytotoxic chemotherapeutic agents. Some may potentiate the effects of chemotherapy and act synergistically to inhibit tumor growth, while others may lead to increased toxicity.10 More research is needed to determine which formulations, in combination with specific agents and doses, may have significant interactions that warrant adjustments in chemotherapy dosing.
Cannabis/Immunotherapy Interactions
Cannabis is an immunosuppressant. Data suggest the use of cannabis during immunotherapy worsens treatment outcomes in patients with cancer.22 Exogenous (THC) and endogenous (AEA) CBs negatively affect antitumor immunity by impairing the function of tumor-specific T cells via CB2 and by inhibiting the Jak1-STATs signaling in T cells through CNR2. Xiong et al found that THC reduces the therapeutic effect of anti-PD-1 therapy.22
In a prospective observational clinical study, Bar-Sela et al analyzed 102 patients with advanced cancer—of which 68 were cannabis users—that were started on immune checkpoint inhibitor therapy. The study found that cannabis users on anti-PD-1 (nivolumab, pembrolizumab), anti-CTLA-4 (ipilimumab), and anti-PD-L1 (durvalumab, atezolizumab) had a significant decrease in time to treatment progression and overall survival vs cannabis non-users.23 However, a 2023 study by Waissengrin et al found that concomitant use of medical cannabis with pembrolizumab had no harmful effect in advanced non-small cell lung cancer.24 Time to treatment progression of cannabis users did not differ from cannabis nonusers.25
Cannabis/Endocrine Therapy Interactions
In addition to having direct antineoplastic activity on tumor cells, data exist that show how cannabis affects the endocrine system. In animal models, cannabis has been found to suppress the whole hypothalamic-pituitary-adrenal axis as well as other hormones like thyroid, prolactin, and growth hormone. In breast cancer, cannabis competes with estrogen for the estrogen receptor and suppresses growth.26
The endocrine agents used by patients with cancer in this study were antiandrogens like abiraterone, enzalutamide, tamoxifen and anastrozole. Abiraterone is metabolized by CYP450 isoenzymes and uridine diphosphate glycosyltransferases. Cannabis inhibits both processes and therefore may lead to increased toxicities.27 Conversely, enzalutamide is a strong CYP3A inducer, and cannabis use during enzalutamide therapy may significantly increase the toxic effects of cannabis.
There is evidence that molecular pathways involving CB receptors and estrogens overlap, which may lead to interactions when antiestrogens are used in cannabis users with hormone receptor-positive breast cancer.26 In preclinical studies, tamoxifen has been shown to act as an inverse agonist on CB1 and CB2 receptors, though the significance of this finding is unclear. There is no research evaluating the effects of CBs on tamoxifen treatment. However, CBD has been found to potentiate the effectiveness of anastrozole or exemestane in breast cancer cell lines.28 Dobovišek et al demonstrated no inhibitory effect of CBD on the activity of tamoxifen, fulvestrant, or palbociclib in breast cancer cell lines.29 The interactions between hormone receptor-positive breast cancer and cannabinoids are complex, and the clinical significance of these interactions remains difficult to identify.
Cannabis/Targeted Therapy Interactions
The targeted therapies used by patients in this study included zanubrutinib, ibrutinib, sorafenib, acalabrutinib, dabrafenib, trametinib, trastuzumab, bevacizumab, daratumumab, and imatinib. Compared to other classes of cancer treatments, most studies have not demonstrated decreased efficacy or increased toxicity of targeted anticancer drugs when used concomitantly with CBD.29
Trastuzumab is a recombinant humanized monoclonal antibody that targets the proto-oncogene HER2/neu. It is used to treat select patients with metastatic breast cancer. Studies have shown that cannabis use does not attenuate the effectiveness of trastuzumab in HER2-positive and triple-negative breast cancer subtypes.29 One study found that CBD, in combination with chemotherapeutics and Bruton tyrosine kinase inhibitors, such as ibrutinib and zanubrutinib, has synergistic potential for treating diffuse large B-cell lymphoma and mantle cell lymphoma cell lines. This synergy is attributed to the CB1 antagonist activity of cannabis against diffuse large B-cell lymphoma and mantle cell lymphoma cell lines.30,31
Moreover, combining cannabinoids with bevacizumab (a monoclonal anti-VEGF antibody) has been shown to decrease tumor growth and intratumoral hypoxia in clinically relevant human glioblastoma models. This effect is mediated through the downregulation of HIF-1α.32 Long-term studies evaluating the potential harmful or synergistic potential of CBD on targeted anticancer therapy are needed.
CONCLUSIONS
This exploratory study of patients receiving cancer therapy at WJVAMC found a significant prevalence of concurrent cannabis use among patients undergoing antineoplastic treatments. Given that many antineoplastic agents are metabolized by the CYP450 enzyme system, the findings of this study suggest that concurrent cannabis use may pose risks of suboptimal therapeutic outcomes due to potential interactions affecting drug metabolism. These interactions could impact the efficacy and toxicity of the antineoplastic therapies, potentially leading to diminished therapeutic effects or exacerbated adverse reactions.
Patients should be informed regarding the potential decreased efficacy of immunotherapy with concurrent use of cannabis products. They should also be aware of the possibility of increased toxicity with other treatment modalities, though the exact impact on efficacy remains unclear. This highlights the necessity of caution when combining cannabis with prescribed cancer treatments.
While this study identified possible interactions, its data are preliminary and highlight the need for more rigorous research. Future studies should include larger, well-designed cohorts to compare outcomes between cannabis users and nonusers. Such research is essential to fully elucidate the clinical implications of cannabis use during cancer treatment, address the high prevalence of cannabis use among patients with cancer, and mitigate potential risks associated with combining cannabis products with antineoplastic therapies. This will ensure that treatment strategies are optimized for safety and efficacy in this complex patient population.
- Steele G, Arneson T, Zylla D. A comprehensive review of cannabis in patients with cancer: availability in the USA, general efficacy, and safety. Curr Oncol Rep. 2019;21:1-10. doi:10.1007/s11912-019-0757-7
- Brown D, Watson M, Schloss J. Pharmacological evidence of medicinal cannabis in oncology: a systematic review. Support Care Cancer. 2019;27:3195-320. doi:10.1007/s00520-019-04774-5
- Abrams DI. Integrating cannabis into clinical cancer care. Curr Oncol. 2016;23:S8-S14. doi:10.37.47/co.23.3099
- Serafimovska T, Darkovska-Serafimovska M, Stefkov G, Arsova-Sarafinovska Z, Balkanov T. Pharmacotherapeutic considerations for use of cannabinoids to relieve symptoms of nausea and vomiting induced by chemotherapy. Folia Medica (Plovdiv). 2020;62:668-678. doi:10.3897/folmed.62e51478
- Bar-Sela G, Zalman D, Semenysty V, Ballan E. The effects of dosage-controlled cannabis capsules on cancer-related cachexia and anorexia syndrome in advanced cancer patients: pilot study. Integr Cancer Ther. 2019;18:1534735419881498. doi:10.1177/1534735419881498
- Pederson ER, Villarosa-Hurlocker MC, Prince MA. Use of protective behavioral strategies among young adult veteran marijuana users. Cannabis. 2018;1:14-27.
- Schilling S, Melzer R, McCabe PF. Cannabis sativa. Curr Biol. 2020;30:R8-R9. doi:10.1016/j.cub.2019.10.039
- McDougle DR, Kambalyal A, Meling DD, Das A. Endocannabinoids anandamide and 2-arachidonoylglycerol are substrates for human CYP2J2 epoxygenase. J Pharmacol Exp Ther. 2014;351:616-627. doi:10.1124/jpet.114216598
- Movsesyan VA, Stoica BA, Yakovlev AG, et al. Anandamide-induced cell death in primary neuronal cultures: role of calpain and caspase pathways. Cell Death Differ. 2004;11:1121-1132. doi:10.1038/sj.cdd.4401442
- Cherkasova V, Wang B, Gerasymchuk M, Fiselier A, Kovalchuk O, Kovalchuk I. Use of cannabis and cannabinoids for treatment of cancer. Cancers (Basel). 2022;14:5142. doi:10.3390/cancers14205142
- Engels FK, Ten Tije AJ, Baker SD, et al. Effect of cytochrome P450 3A4 inhibition on the pharmacokinetics of docetaxel. Clin Pharmacol Ther. 2004;75:448-454. doi:10.1016/j.clpt.2004.01.001
- Alsherbiny MA, Li CG. Medicinal cannabis-potential drug interactions. Medicines (Basel). 2018;6:3. doi:10.3390/medicines6010003
- Stout SM, Cimino NM. Exogenous cannabinoids as substrates, inhibitors, and inducers of human drug metabolizing enzymes: a systematic review. Drug Metab Rev. 2014;46:86-95. doi:10.3109/03602532.2013.849268
- Opitz BJ, Ostroff ML, Whitman AC. The potential clinical implications and importance of drug interactions between anticancer agents and cannabidiol in patients with cancer. J Pharm Pract. 2020;33:506-512. doi:10.1177/0897190019828920
- Guzmán M, Duarte MJ, Blázquez C, et al. A pilot clinical study of D9-tetrahydrocannabinol in patients with recurrent glioblastoma multiforme. Br J Cancer. 2006;95:197-203. doi:10.1038/sj.bjc.6603236
- Kopjar N, Fuchs N, Brcic Karaconji I, et al. High doses of ?9-tetrahydrocannabinol might impair irinotecan chemotherapy: a review of potentially harmful interactions. Clin Drug Investig. 2020;40:775-787. doi:10.1007/s40261-020-00954-y
- Bouquié R, Deslandes G, Mazaré H, et al. Cannabis and anticancer drugs: societal usage and expected pharmacological interactions - a review. Fundam Clin Pharmacol. 2018;32:462-484. doi:10.1111/fcp.12373
- Buchtova T, Lukac D, Skrott Z, Chroma K, Bartek J, Mistrik M. Drug-drug interactions of cannabidiol with standard-of-care chemotherapeutics. Int J Mol Sci. 2023;24:2885. doi:10.3390/ijms24032885
- Sharafi G, He H, Nikfarjam M. Potential use of cannabinoids for the treatment of pancreatic cancer. J Pancreat Cancer. 2019;5:1-7. doi:10.1089/pancan.2018.0019
- Kosgodage US, Uysal-Onganer P, MacLatchy A, et al. Cannabidiol affects extracellular vesicle release, miR21 and miR126, and reduces prohibitin protein in glioblastoma multiforme cells. Transl Oncol. 2019;12:513-522. doi:10.1016/j.tranon.2018.12.004
- Elbaz M, Nasser MW, Ravi J, et al. Modulation of the tumor microenvironment and inhibition of EGF/EGFR pathway: novel anti-tumor mechanisms of cannabidiol in breast cancer. Mol Oncol. 2015;9:906-919. doi:10.1016/j.molonc.2014.12.010
- Xiong X, Chen S, Shen J, et al. Cannabis suppresses anti-tumor immunity by inhibiting JAK/STAT signaling in T cells through CNR2. Signal Transduct Target Ther. 2022;7:99. doi:10.1038/s41392-022-00918-y
- Bar-Sela G, Cohen I, Campisi-Pinto S, et al. Cannabis consumption used by cancer patients during immunotherapy correlates with poor clinical outcome. Cancers (Basel). 2020;12:2447. doi:10.3390/cancers12092447
- Waissengrin B, Leshem Y, Taya M, et al. The use of medical cannabis concomitantly with immune checkpoint inhibitors in non-small cell lung cancer: a sigh of relief? Eur J Cancer. 2023;180:52-61. doi:10.1016/j.ejca.2022.11.022
- Sarsembayeva A, Schicho R. Cannabinoids and the endocannabinoid system in immunotherapy: helpful or harmful? Front Oncol. 2023;13:1296906. doi:10.3389/fonc.2023.1296906
- Kisková T, Mungenast F, Suváková M, Jäger W, Thalhammer T. Future aspects for cannabinoids in breast cancer therapy. Int J Mol Sci. 2019;20:1673. doi:10.3390/ijms20071673
- Woerdenbag HJ, Olinga P, Kok EA, et al. Potential, limitations and risks of cannabis-derived products in cancer treatment. Cancers (Basel). 2023;15:2119. doi:10.3390/cancers15072119
- Almeida CF, Teixeira N, Valente MJ, Vinggaard AM, Correia-da-Silva G, Amaral C. Cannabidiol as a promising adjuvant therapy for estrogen receptor-positive breast tumors: unveiling its benefits with aromatase inhibitors. Cancers (Basel). 2023;15:2517. doi:10.3390/cancers15092517
- Dobovišek L, Novak M, Krstanovic F, Borštnar S, Turnšek TL, Debeljak N. Effect of combining CBD with standard breast cancer therapeutics. Adv Cancer Biol Metastasis. 2022;4:100038. doi:10.1016/j.adcanc.2022.100038
- Strong T, Rauvolfova J, Jackson E, Pham LV, Bryant J. Synergistic effect of cannabidiol with conventional chemotherapy treatment. Blood. 2018;132:5382. doi:10.1182/blood-2018-99-116749
- Maggi F, Morelli MB, Tomassoni D, et al. The effects of cannabidiol via TRPV2 channel in chronic myeloid leukemia cells and its combination with imatinib. Cancer Sci. 2022;113:1235-1249. doi:10.1111/cas.15257
- Obad N, Janji B, Prestegarden L, et al. ATPS-59 improving efficacy of bevacizumab treatment in glioblastoma by targeting hif1 alpha. Neuro Oncol. 2015;17:v31. doi:10.1093/neuonc/nov204.59
- Steele G, Arneson T, Zylla D. A comprehensive review of cannabis in patients with cancer: availability in the USA, general efficacy, and safety. Curr Oncol Rep. 2019;21:1-10. doi:10.1007/s11912-019-0757-7
- Brown D, Watson M, Schloss J. Pharmacological evidence of medicinal cannabis in oncology: a systematic review. Support Care Cancer. 2019;27:3195-320. doi:10.1007/s00520-019-04774-5
- Abrams DI. Integrating cannabis into clinical cancer care. Curr Oncol. 2016;23:S8-S14. doi:10.37.47/co.23.3099
- Serafimovska T, Darkovska-Serafimovska M, Stefkov G, Arsova-Sarafinovska Z, Balkanov T. Pharmacotherapeutic considerations for use of cannabinoids to relieve symptoms of nausea and vomiting induced by chemotherapy. Folia Medica (Plovdiv). 2020;62:668-678. doi:10.3897/folmed.62e51478
- Bar-Sela G, Zalman D, Semenysty V, Ballan E. The effects of dosage-controlled cannabis capsules on cancer-related cachexia and anorexia syndrome in advanced cancer patients: pilot study. Integr Cancer Ther. 2019;18:1534735419881498. doi:10.1177/1534735419881498
- Pederson ER, Villarosa-Hurlocker MC, Prince MA. Use of protective behavioral strategies among young adult veteran marijuana users. Cannabis. 2018;1:14-27.
- Schilling S, Melzer R, McCabe PF. Cannabis sativa. Curr Biol. 2020;30:R8-R9. doi:10.1016/j.cub.2019.10.039
- McDougle DR, Kambalyal A, Meling DD, Das A. Endocannabinoids anandamide and 2-arachidonoylglycerol are substrates for human CYP2J2 epoxygenase. J Pharmacol Exp Ther. 2014;351:616-627. doi:10.1124/jpet.114216598
- Movsesyan VA, Stoica BA, Yakovlev AG, et al. Anandamide-induced cell death in primary neuronal cultures: role of calpain and caspase pathways. Cell Death Differ. 2004;11:1121-1132. doi:10.1038/sj.cdd.4401442
- Cherkasova V, Wang B, Gerasymchuk M, Fiselier A, Kovalchuk O, Kovalchuk I. Use of cannabis and cannabinoids for treatment of cancer. Cancers (Basel). 2022;14:5142. doi:10.3390/cancers14205142
- Engels FK, Ten Tije AJ, Baker SD, et al. Effect of cytochrome P450 3A4 inhibition on the pharmacokinetics of docetaxel. Clin Pharmacol Ther. 2004;75:448-454. doi:10.1016/j.clpt.2004.01.001
- Alsherbiny MA, Li CG. Medicinal cannabis-potential drug interactions. Medicines (Basel). 2018;6:3. doi:10.3390/medicines6010003
- Stout SM, Cimino NM. Exogenous cannabinoids as substrates, inhibitors, and inducers of human drug metabolizing enzymes: a systematic review. Drug Metab Rev. 2014;46:86-95. doi:10.3109/03602532.2013.849268
- Opitz BJ, Ostroff ML, Whitman AC. The potential clinical implications and importance of drug interactions between anticancer agents and cannabidiol in patients with cancer. J Pharm Pract. 2020;33:506-512. doi:10.1177/0897190019828920
- Guzmán M, Duarte MJ, Blázquez C, et al. A pilot clinical study of D9-tetrahydrocannabinol in patients with recurrent glioblastoma multiforme. Br J Cancer. 2006;95:197-203. doi:10.1038/sj.bjc.6603236
- Kopjar N, Fuchs N, Brcic Karaconji I, et al. High doses of ?9-tetrahydrocannabinol might impair irinotecan chemotherapy: a review of potentially harmful interactions. Clin Drug Investig. 2020;40:775-787. doi:10.1007/s40261-020-00954-y
- Bouquié R, Deslandes G, Mazaré H, et al. Cannabis and anticancer drugs: societal usage and expected pharmacological interactions - a review. Fundam Clin Pharmacol. 2018;32:462-484. doi:10.1111/fcp.12373
- Buchtova T, Lukac D, Skrott Z, Chroma K, Bartek J, Mistrik M. Drug-drug interactions of cannabidiol with standard-of-care chemotherapeutics. Int J Mol Sci. 2023;24:2885. doi:10.3390/ijms24032885
- Sharafi G, He H, Nikfarjam M. Potential use of cannabinoids for the treatment of pancreatic cancer. J Pancreat Cancer. 2019;5:1-7. doi:10.1089/pancan.2018.0019
- Kosgodage US, Uysal-Onganer P, MacLatchy A, et al. Cannabidiol affects extracellular vesicle release, miR21 and miR126, and reduces prohibitin protein in glioblastoma multiforme cells. Transl Oncol. 2019;12:513-522. doi:10.1016/j.tranon.2018.12.004
- Elbaz M, Nasser MW, Ravi J, et al. Modulation of the tumor microenvironment and inhibition of EGF/EGFR pathway: novel anti-tumor mechanisms of cannabidiol in breast cancer. Mol Oncol. 2015;9:906-919. doi:10.1016/j.molonc.2014.12.010
- Xiong X, Chen S, Shen J, et al. Cannabis suppresses anti-tumor immunity by inhibiting JAK/STAT signaling in T cells through CNR2. Signal Transduct Target Ther. 2022;7:99. doi:10.1038/s41392-022-00918-y
- Bar-Sela G, Cohen I, Campisi-Pinto S, et al. Cannabis consumption used by cancer patients during immunotherapy correlates with poor clinical outcome. Cancers (Basel). 2020;12:2447. doi:10.3390/cancers12092447
- Waissengrin B, Leshem Y, Taya M, et al. The use of medical cannabis concomitantly with immune checkpoint inhibitors in non-small cell lung cancer: a sigh of relief? Eur J Cancer. 2023;180:52-61. doi:10.1016/j.ejca.2022.11.022
- Sarsembayeva A, Schicho R. Cannabinoids and the endocannabinoid system in immunotherapy: helpful or harmful? Front Oncol. 2023;13:1296906. doi:10.3389/fonc.2023.1296906
- Kisková T, Mungenast F, Suváková M, Jäger W, Thalhammer T. Future aspects for cannabinoids in breast cancer therapy. Int J Mol Sci. 2019;20:1673. doi:10.3390/ijms20071673
- Woerdenbag HJ, Olinga P, Kok EA, et al. Potential, limitations and risks of cannabis-derived products in cancer treatment. Cancers (Basel). 2023;15:2119. doi:10.3390/cancers15072119
- Almeida CF, Teixeira N, Valente MJ, Vinggaard AM, Correia-da-Silva G, Amaral C. Cannabidiol as a promising adjuvant therapy for estrogen receptor-positive breast tumors: unveiling its benefits with aromatase inhibitors. Cancers (Basel). 2023;15:2517. doi:10.3390/cancers15092517
- Dobovišek L, Novak M, Krstanovic F, Borštnar S, Turnšek TL, Debeljak N. Effect of combining CBD with standard breast cancer therapeutics. Adv Cancer Biol Metastasis. 2022;4:100038. doi:10.1016/j.adcanc.2022.100038
- Strong T, Rauvolfova J, Jackson E, Pham LV, Bryant J. Synergistic effect of cannabidiol with conventional chemotherapy treatment. Blood. 2018;132:5382. doi:10.1182/blood-2018-99-116749
- Maggi F, Morelli MB, Tomassoni D, et al. The effects of cannabidiol via TRPV2 channel in chronic myeloid leukemia cells and its combination with imatinib. Cancer Sci. 2022;113:1235-1249. doi:10.1111/cas.15257
- Obad N, Janji B, Prestegarden L, et al. ATPS-59 improving efficacy of bevacizumab treatment in glioblastoma by targeting hif1 alpha. Neuro Oncol. 2015;17:v31. doi:10.1093/neuonc/nov204.59
Cannabis Use by Veterans and Potential Interactions With Antineoplastic Agents: Analysis and Literature Review
Cannabis Use by Veterans and Potential Interactions With Antineoplastic Agents: Analysis and Literature Review
Early Outcomes of Stereotactic Body Radiotherapy for Localized Prostate Cancer: A Retrospective Analysis
Early Outcomes of Stereotactic Body Radiotherapy for Localized Prostate Cancer: A Retrospective Analysis
Prostate cancer is the most common cancer in US males, with an estimated 313,780 new cases and 35,770 deaths in 2025.1 Several treatment options are available for localized prostate cancer that have similar outcomes, including active surveillance for low-risk cancers, surgery, or radiotherapy.2,3 Conventional fractionation radiotherapy (CFRT) with 40 to 45 fractions over 8 to 9 weeks has been used for decades. Over the past 2 decades, moderate hypofractionation schedules with 2.4 to 3.4 Gy per fraction over 20 to 28 fractions have become standard, as many noninferiority randomized clinical trials (RCTs) such as CHHiP (UK),4 PROFIT (Canada and Europe),5 NRG Oncology RTOG 0415 (US),6 HYPRO (Netherlands),7,8 and HYPO-RT-PC (Sweden and Denmark),9 have shown the noninferiority of moderately hypofractionated radiotherapy compared with CFRT. Notably, most of these noninferiority studies primarily included patients with low- or intermediate-risk prostate cancer, except for the HYPO-RT-PC trial,9 which also included patients with intermediate- and high-risk prostate cancer.
These noninferiority studies, along with technological advances in radiotherapy, such as intensity-modulated radiotherapy (IMRT), volumetric modulated arc therapy (VMAT), and image-guided radiotherapy (IGRT), paved the path to ultrahypofractionated stereotactic body radiotherapy (SBRT) that is delivered in 5 fractions of ≥ 6 Gy. This high dose per fraction may have a radiobiologic advantage over conventional fractionation. The relatively low a/ß ratio of prostate cancer, estimated to be between 1 and 2, suggests that tumor cells may be particularly sensitive to the high doses per fraction delivered in SBRT.10-13 Compared with CFRT, SBRT-induced tumor cell death may also be mediated through different pathways; this pathway appears to be generated in a dose-dependent manner, particularly with doses > 8 Gy per fraction.14,15 Additionally, the higher a/ß ratio for the surrounding organs at risk, such as the bladder and rectum, theoretically allows for an improved therapeutic ratio window that maximizes tumor control while minimizing damage to healthy tissues.
A substantial body of evidence from prospective studies and meta-analyses supports the use of SBRT for localized prostate cancer. HYPO-RT-PC, a significant phase 3 noninferiority study, enrolled 1200 patients with intermediate (89%) and high-risk (11%) prostate cancer randomized between 2 arms, including CFRT to 78 Gy in 39 fractions and SBRT to 42.7 Gy in 7 fractions, treated 3 days weekly. After a median follow-up of 60 months, the estimated 5-year biochemical relapse-free survival rate was 84% in both groups.9 This trial was notable because it was the first randomized study to demonstrate that SBRT was noninferior to CFRT in intermediate- and high-risk prostate cancer patients. Another pivotal phase 3 trial, the PACE-B study, enrolled 874 patients to compare SBRT (36.25 Gy to the prostate gland, with a secondary dose of 40 Gy to the gross tumor volume where applicable, in 5 fractions) with CFRT (78 Gy in 39 fractions) and moderately hypofractionated radiotherapy (HFRT) (62 Gy in 20 fractions) in patients with low- or intermediate-risk prostate cancer. With a 74-month median follow-up, the study reported 5-year biochemical free rates of 94.6% for CFRT and 95.8% for SBRT, confirming the noninferiority of SBRT to CFRT.15
SBRT offers short, effective, and convenient treatment to many patients with localized prostate cancer. While previous guidelines were more restrictive, the March 2026 National Comprehensive Cancer Network (NCCN) guidelines now list SBRT as a preferred treatment modality for high-risk prostate cancer.16
Given the growing body of evidence supporting the efficacy and safety of SBRT, we implemented an SBRT program in 2014 at a tertiary care center for veterans. This retrospective study was undertaken to evaluate the early efficacy and toxicity of SBRT in patients with localized prostate cancer treated at our institution, including patients across all risk stratifications.
METHODS
We identified 242 patients diagnosed with prostate cancer who underwent SBRT treatment between November 2014 and October 2024 at Overland Park Veterans Affairs Radiation Oncology Clinic. For the final analysis, 46 patients with < 2 years of follow-up and 22 patients who died from causes other than prostate cancer were excluded, resulting in a cohort of 174 patients with ≥ 24-month follow-up.
Treatment
Patients eligible for staging underwent imaging according to NCCN guidelines, including computed tomography (CT) of the abdomen and pelvis, bone scintigraphy, or, in recent years, prostate-specific membrane antigen positron emission tomography, primarily used for unfavorable intermediate-risk (UIR) and high-risk (HR) cancers. Patients with a negative staging work-up for nodal or skeletal disease were included. Prior to planning the CT simulation, patients were given bowel preparation instructions, including a low-fiber and low-gas-producing diet, simethicone, and enemas, the night before and morning of the simulation. Patients were instructed to arrive with a comfortably full bladder, having not voided for 2 to 3 hours prior to the procedure. At Kansas City Veterans Affairs Medical Center (KCVAMC), SBRT treatment was generally restricted to patients with a baseline American Urological Association symptom score of 15 to 20 out of 35 and a prostate gland size < 80 mL to minimize the risk of acute urinary toxicity. We did not use intraprostatic fiducials, hydrogel rectal spacers, or intravenous contrast agents for planning CT simulation.
Patients were placed in a supine position, and a vacuum bag was used for immobilization. Following the CT simulation, the images were transferred to the Eclipse treatment planning system. The clinical target volume (CTV) encompassed the prostate and the proximal 1.0 cm of the seminal vesicles for Gleason score (GS) 1 to 2, and the entire seminal vesicle was included for GS 3 to 5, which is consistent with KCVAMC practice and established safety protocols. The planning target volume (PTV) was created by uniformly expanding the CTV by 5 to 7 mm, except for the posterior margin, which was limited to 3 to 5 mm. When elective nodal radiotherapy was planned for HR prostate cancer, the pelvic field for CT simulation started at the L-2 upper border, with the lower border extending to the lesser trochanter. The pelvic nodes were delineated per Radiation Therapy Oncology Group (RTOG) guidelines.17 The CTV nodes (CTVn), including common iliac, external and internal iliac nodes, obturator, and presacral nodes, were created by uniformly expanding the CTVn by 2 to 3 mm. Slice-by-slice corrections were made to avoid bowel overlap in these patients.
The use of androgen deprivation therapy (ADT) for a duration of 6 to 24 months was prescribed for patients with UIR or HR prostate cancer per NCCN guidelines.16 The prescribed dose to the PTV was 36.25 to 40 Gy (40 Gy was mostly used as a boost to the dominant lesion) in 5 fractions, with each fraction ranging from 7.25 to 8 Gy. For elective nodal radiotherapy in patients at HR, the prescribed dose was 25 Gy in 5 fractions. All patients were planned for VMAT, which aims to deliver ≥ 95% of the prescription dose to 95% of the PTV. Once the physician approved the treatment plan and physics quality assessment was completed, treatments commenced on an every-other-day schedule. Patients received the same bowel preparation instructions for each treatment as for the planning CT simulation. Daily treatment accuracy was confirmed via daily 3-dimensional cone-beam CT (CBCT) for IGRT. No fiducials or hydrogel rectal spacers were used.
Follow-up Schedule and Toxicity Assessment
Follow-up assessments were conducted 4 to 6 weeks after radiation therapy and then repeated every 6 months for 2 to 5 years, and annually thereafter. At each follow-up visit, patients were evaluated for genitourinary (GU) and gastrointestinal (GI) toxicity, according to RTOG toxicity criteria. Prostate-specific antigen (PSA) levels were monitored; in patients receiving ADT, testosterone levels were also checked.
Statistical Analysis
Biochemical failure was defined using the Phoenix definition (nadir PSA + 2 ng/mL). Differences between dose cohorts were assessed using the log-rank test for survival outcomes and X2 testing for categorical variables. GU and GI toxicities were summarized as cumulative incidences of RTOG grade ≥ II events. Statistical significance was set at P < .05.
RESULTS
One hundred seventy-four patients were included in the retrospective review. Patients had a median follow-up of 45 months (range, 24-111) (Figure). The median age at treatment was 74 years (range, 51-88), and the median pretreatment PSA level was 11.9 ng/mL (range, 0.6-69.5). Twenty-six patients (14.9%) had a GS 1, 77 (44.3%) had GS 2, 41 (23.6%) had GS 3, 18 (10.3%) had GS 4, and 12 (6.9%) had GS 5. Fifty-one patients (29.3%) received elective pelvic nodal radiotherapy, and 93 patients (53.4%) received ADT (Table 1).

At 24 months follow-up, 6 patients (3.4%) had biochemical failures. One patient died from metastatic prostate cancer, and 5 patients are living with biochemical failure (Table 2). The actuarial 5-year overall survival (OS) rate was 99.4%, and the 5-year disease-free survival (DFS) rate was 96.6%. We performed a subanalysis comparing outcomes of the 36.25 Gy vs 40 Gy SBRT cohorts. There was no statistically significant difference in DFS, OS, or the cumulative incidence of grade II/III toxicity between patients treated with 40 Gy vs 36.25 Gy. Outcomes stratified by NCCN risk groups (low, intermediate, high/very high) are detailed in Table 3. As expected, DFS was slightly lower in the high-risk group, but overall disease control remained high across all stratifications.


The cumulative incidence of RTOG grade II and higher GU toxicity was 28.2% (Table 4). This included 46 patients (26.4%) with grade II GU toxicity and 2 patients (1.2%) who developed grade III GU complications (1 requiring self-catheterization and another a suprapubic catheter for urinary retention). One patient (0.6%) treated with a 40 Gy dose regimen experienced a grade IV GU complication in the form of a rectovesical fistula necessitating surgical intervention.

The cumulative incidence of RTOG grade II or higher GI toxicity was 3.4%, and no grade III or IV gastrointestinal toxicities were observed during the follow-up period. Importantly, intraprostatic fiducials, hydrogel rectal spacers, or intravenous contrast were not routinely used in this cohort of patients.
The high rates of actuarial 5-year DFS and OS observed suggest a favorable initial response to the SBRT regimen employed at KCVAMC. However, given the potential for late recurrence in patients with prostate cancer, longer follow-up is essential to determine the durability of these outcomes. The observed GU toxicity rate of 28.2% for grade II and higher events warrants careful consideration and compares with other published data on SBRT for prostate cancer.15 The occurrence of a grade IV rectovesical fistula, although rare, is a notable adverse event that warrants discussion in the context of the treatment approach. The low incidence of grade II or higher GI toxicity is an encouraging finding, particularly given that hydrogel rectal spacers are not routinely used to minimize rectal exposure.
DISCUSSION
The primary objective of this retrospective study was to evaluate the outcomes of SBRT for patients with localized prostate cancer treated at KCVAMC and to compare these results with those reported in the literature. Our findings demonstrate promising intermediate-term efficacy, with an estimated 5-year DFS of 96.6% and OS of 99.4% at a median follow-up of 45 months. Furthermore, the observed toxicity profile appears acceptable, with a cumulative grade II and higher GU toxicity rate of 28.2% and a grade II or higher GI toxicity rate of 3.4%. Notably, these outcomes were achieved without the routine use of intraprostatic fiducials or hydrogel rectal spacers.
Two pivotal randomized phase 3 trials have established the noninferiority of ultrahypofractionated radiotherapy (UHRT) with SBRT over conventional fractionation. The HYPO-RT-PC trial compared SBRT (42.7 Gy in 7 fractions) with conventional fractionation (78 Gy in 39 fractions) in intermediate- and high-risk patients with prostate cancer and reported a 5-year biochemical relapse-free survival of 84% in both arms.9 The PACE-B trial, which included patients at low- and intermediate-risk, compared SBRT (36.25 Gy in 5 fractions) with conventional or moderate HFRT and reported a 5-year biochemical control rate of 95.8% in the SBRT arm and 94.6% in the control arm.15
A comprehensive review and meta-analysis of 7 phase 3 studies involving 6795 patients compared different radiotherapy regimens, namely, UHRT, HFRT, and CFRT, and reported that after 5 years, the DFS rates were 85.1% for CFRT, 86% for HFRT, and 85% for UHRT, with no significant difference in toxicity among the 3 different treatment approaches.18 This suggests that shorter, more intense radiotherapy schedules (UHRT and HFRT) may be as effective and safe as traditional, longer courses of radiation.
There are multiple published nonrandomized prospective trials in which thousands of patients with extreme hypofractionation have been treated with different doses, fractions, and techniques. While heterogeneity and limited long-term follow-up in the existing evidence are acknowledged, these data suggest that prostate SBRT provides appropriate biochemical control with few high-grade toxicities, supporting its ongoing global use and justifying further prospective investigations. Comparative data are shown in Table 5. Several ongoing studies are evaluating noninferiority, superiority, and cost-effectiveness using different methodologies (Table 6).9,15,19-24


This study’s efficacy outcomes, particularly the high DFS rate, are consistent with the findings from these landmark trials, suggesting that the SBRT regimen used at KCVAMC is effective in achieving early disease control despite 17.2% of patients having high-risk disease. The GU toxicity observed in this study, with a 28.2% rate of grade II or higher events, is also comparable with the 26.9% reported in the 5-fraction SBRT arm of the PACE-B trial, which had a longer median follow-up of 74 months.15 It is important to note that a portion of these grade II events occurred in patients who were already on a blockers for pre-existing lower urinary tract symptoms before starting radiotherapy, which may inflate the observed cumulative acute toxicity score.
A critical comparison is how SBRT toxicity aligns with moderate hypofractionation (eg, 60 Gy in 20 fractions or 70 Gy in 28 fractions as reported by others).4,6 Our observed grade III and higher GU toxicity rate (1.7%) and grade III and higher GI toxicity rate (0%) are highly favorable when compared with historical moderate hypofractionation data, which typically report grade III GU toxicity in the range of 2% to 3% and grade III GI toxicity around 1% to 2%. This suggests that despite the higher dose per fraction, SBRT does not necessarily lead to increased severe acute toxicity, potentially offering a superior therapeutic ratio for GI and GU sparing.
However, the occurrence of a grade IV rectovesical fistula in 1 patient (0.6%)—who received the 40 Gy dose—was a serious complication that warrants careful consideration. This rare, but severe, complication in the higher dose cohort underscores the potential for increased organ-at-risk toxicity, particularly in the absence of a hydrogel rectal spacer, which is designed to mitigate high-dose rectal exposure. While the overall rate of significant GU toxicity remains low, this event highlights the potential risks associated with SBRT. Hydrogel rectal spacers are designed to increase the distance between the prostate and the rectum, which can reduce the rectal radiation dose and potentially mitigate the risk of such fistulas. The low rate of grade II or worse GI toxicity (3.4%) in our study is noteworthy, especially considering that hydrogel spacers were not routinely used. This finding aligns with the 2.5% GI toxicity rate reported in the SBRT arm of the PACE-B trial, suggesting that careful treatment planning and delivery techniques, such as VMAT-IMRT and daily CBCT for IGRT, may contribute to minimizing GI toxicity even without the use of rectal spacers.15 The exclusive use of 3-dimensional CBCT for IGRT in our study, without the use of fiducial markers, suggests that accurate target localization can be achieved with this approach, contributing to the observed efficacy and reduced toxicity.
Strengths and Limitations
This study’s retrospective, single-center design may have introduced selection bias. The median follow-up of 45 months, while substantial, is still relatively short for assessing very late toxicities and long-term oncologic outcomes in prostate cancer, which is known for late recurrences. Additionally, the lack of a direct comparison group within KCVAMC limits the ability to definitively attribute the observed outcomes solely to SBRT treatment. However, the strengths of this study include the inclusion of a consecutive series of veteran patients with localized prostate cancer across all risk categories, providing a real-world perspective on SBRT outcomes in a diverse patient population. Furthermore, the detailed assessment of efficacy and toxicity via standardized RTOG criteria enhances the comparability of our findings with those of other published prospective studies, despite the retrospective nature of the data.
CONCLUSIONS
This single-institution retrospective analysis revealed that short-term SBRT (36.25 to 40 Gy in 5 fractions), with a minimum follow-up of 24 months and a median follow-up of 45 months, for localized prostate cancer, including patients at HR, is associated with promising early efficacy and acceptable toxicity, even in the absence of routine fiducial or hydrogel spacer use. The favorable actuarial 5-year DFS and OS rates, coupled with a manageable toxicity profile, suggest that SBRT is a safe and convenient treatment option for many patients with localized prostate cancer. However, a longer follow-up is necessary to confirm these findings and fully characterize the long-term efficacy and toxicity of this SBRT regimen. Nevertheless, the results contribute to the growing body of evidence suggesting that SBRT is a safe and convenient treatment option for many patients with localized prostate cancer.
- Siegel RL, Kratzer TB, Giaquinto AN, et al. Cancer statistics, 2025. CA Cancer J Clin. 2025;75:10-45. doi:10.3322/caac.21871
- Donovan JL, Hamdy FC, Lane JA, et al. Patient-reported outcomes after monitoring, surgery, or radiotherapy for prostate cancer. N Engl J Med. 2016;375:1425-1437. doi:10.1056/NEJMoa1606221
- Hamdy FC, Donovan JL, Lane JA, et al. 10-year outcomes after monitoring, surgery, or radiotherapy for localized prostate cancer. N Engl J Med. 2016;375:1415-1424. doi:10.1056/NEJMoa1606220
- Dearnaley D, Syndikus I, Mossop H, et al. Conventional versus hypofractionated high-dose intensity-modulated radiotherapy for prostate cancer: 5-year outcomes of the randomised, non-inferiority, phase 3 CHHiP trial. Lancet Oncol. 2016;17:1047-1060. doi:10.1016/S1470-2045(16)30102-4
- Catton CN, Lukka H, Gu CS, et al. Randomized trial of a hypofractionated radiation regimen for the treatment of localized prostate cancer. J Clin Oncol. 2017;35:1884-1890. doi:10.1200/JCO.2016.71.7397
- Lee WR, Dignam JJ, Amin MB, et al. Long-term analysis of NRG Oncology RTOG 0415: a randomized phase III noninferiority study comparing two fractionation schedules in patients with low-risk prostate cancer. J Clin Oncol. 2024;42:2377-2381. doi:10.1200/JCO.23.02445
- de Vries KC, Wortel RC, Oomen-de Hoop E, et al. Hypofractionated versus conventionally fractionated radiation therapy for patients with intermediate- or high-risk, localized, prostate cancer: 7-year outcomes from the randomized, multicenter, open-label, phase 3 HYPRO trial. Int J Radiat Oncol Biol Phys. 2020;106:108-115. doi:10.1016/j.ijrobp.2019.09.007
- Incrocci L, Wortel RC, Alemayehu WG, et al. Hypofractionated versus conventionally fractionated radiotherapy for patients with localised prostate cancer (HYPRO): final efficacy results from a randomised, multicentre, open-label, phase 3 trial. Lancet Oncol. 2016;17:1061-1069. doi:10.1016/S1470-2045(16)30070-5
- Widmark A, Gunnlaugsson A, Beckman L, et al. Ultra-hypofractionated versus conventionally fractionated radiotherapy for prostate cancer: 5-year outcomes of the HYPO-RT-PC randomised, non-inferiority, phase 3 trial. Lancet. 2019;394:385-395. doi:10.1016/S0140-6736(19)31131-6
- Brenner DJ, Hall EJ. Fractionation and protraction for radiotherapy of prostate carcinoma. Int J Radiat Oncol Biol Phys. 1999;43:1095-101. doi:10.1016/s0360-3016(98)00438-6
- Dasu A. Is the alpha/beta value for prostate tumours low enough to be safely used in clinical trials? Clin Oncol (R Coll Radiol). 2007;19:289-301. doi:10.1016/j.clon.2007.02.007
- Garcia-Barros M, Paris F, Cordon-Cardo C, et al. Tumor response to radiotherapy regulated by endothelial cell apoptosis. Science. 2003;300:1155-1159. doi:10.1126/science.1082504
- Gulliford S, Hall E, Dearnaley D. Hypofractionation trials and radiobiology of prostate cancer. Oncoscience. 2017;4:27-28. doi:10.18632/oncoscience.347
- Fuks Z, Kolesnick R. Engaging the vascular component of the tumor response. Cancer Cell. 2005;8:89-91. doi:10.1016/j.ccr.2005.07.014
- van As N, Griffin C, Tree A, et al. Phase 3 Trial of stereotactic body radiotherapy in localized prostate cancer. N Engl J Med. Oct 17 2024;391:1413-1425. doi:10.1056/NEJMoa2403365
- National Comprehensive Cancer Network. NCCN Guidelines Version 5. 2026 Prostate Cancer. Accessed March 24, 2026. https://www.nccn.org/professionals/physician_gls/pdf/prostate.pdf
- Lawton CA, Michalski J, El-Naqa I, et al. RTOG GU radiation oncology specialists reach consensus on pelvic lymph node volumes for high-risk prostate cancer. Int J Radiat Oncol Biol Phys. 2009;74:383-387. doi:10.1016/j.ijrobp.2008.08.002
- Lehrer EJ, Kishan AU, Yu JB, et al. Ultrahypofractionated versus hypofractionated and conventionally fractionated radiation therapy for localized prostate cancer: a systematic review and meta-analysis of phase III randomized trials. Radiother Oncol. 2020;148:235-242. doi:10.1016/j.radonc.2020.04.037
- De Cooman B, Debacker T, Adams T, et al. Stereotactic body radiotherapy (SBRT) as a treatment for localized prostate cancer: a retrospective analysis. Radiat Oncol. 2025;20:25. doi:10.1186/s13014-025-02598-8
- Fuller DB, Falchook AD, Crabtree T, et al. Phase 2 multicenter trial of heterogeneous-dosing stereotactic body radiotherapy for low- and intermediate-risk prostate cancer: 5-year outcomes. Eur Urol Oncol. 2018;1:540-547. doi:10.1016/j.euo.2018.06.013
- Jackson WC, Silva J, Hartman HE, et al. Stereotactic body radiation therapy for localized prostate cancer: a systematic review and meta-analysis of over 6,000 patients treated on prospective studies. Int J Radiat Oncol Biol Phys. 2019;104:778-789. doi:10.1016/j.ijrobp.2019.03.051
- Meier RM, Bloch DA, Cotrutz C, et al. Multicenter trial of stereotactic body radiation therapy for low- and intermediate-risk prostate cancer: survival and toxicity endpoints. nt J Radiat Oncol Biol Phys. 2018;102:296-303. doi:10.1016/j.ijrobp.2018.05.040
- Quon HC, Ong A, Cheung P, et al. Once-weekly versus every-other-day stereotactic body radiotherapy in patients with prostate cancer (PATRIOT): a phase 2 randomized trial. Radiother Oncol. 2018;127:206-212. doi:10.1016/j.radonc.2018.02.029
- Zelefsky MJ, Kollmeier M, McBride S, et al. Five-year outcomes of a phase 1 dose-escalation study using stereotactic body radiosurgery for patients with low-risk and intermediate-risk prostate cancer. Int J Radiat Oncol Biol Phys. 2019;104:42-49. doi:10.1016/j.ijrobp.2018.12.045
Prostate cancer is the most common cancer in US males, with an estimated 313,780 new cases and 35,770 deaths in 2025.1 Several treatment options are available for localized prostate cancer that have similar outcomes, including active surveillance for low-risk cancers, surgery, or radiotherapy.2,3 Conventional fractionation radiotherapy (CFRT) with 40 to 45 fractions over 8 to 9 weeks has been used for decades. Over the past 2 decades, moderate hypofractionation schedules with 2.4 to 3.4 Gy per fraction over 20 to 28 fractions have become standard, as many noninferiority randomized clinical trials (RCTs) such as CHHiP (UK),4 PROFIT (Canada and Europe),5 NRG Oncology RTOG 0415 (US),6 HYPRO (Netherlands),7,8 and HYPO-RT-PC (Sweden and Denmark),9 have shown the noninferiority of moderately hypofractionated radiotherapy compared with CFRT. Notably, most of these noninferiority studies primarily included patients with low- or intermediate-risk prostate cancer, except for the HYPO-RT-PC trial,9 which also included patients with intermediate- and high-risk prostate cancer.
These noninferiority studies, along with technological advances in radiotherapy, such as intensity-modulated radiotherapy (IMRT), volumetric modulated arc therapy (VMAT), and image-guided radiotherapy (IGRT), paved the path to ultrahypofractionated stereotactic body radiotherapy (SBRT) that is delivered in 5 fractions of ≥ 6 Gy. This high dose per fraction may have a radiobiologic advantage over conventional fractionation. The relatively low a/ß ratio of prostate cancer, estimated to be between 1 and 2, suggests that tumor cells may be particularly sensitive to the high doses per fraction delivered in SBRT.10-13 Compared with CFRT, SBRT-induced tumor cell death may also be mediated through different pathways; this pathway appears to be generated in a dose-dependent manner, particularly with doses > 8 Gy per fraction.14,15 Additionally, the higher a/ß ratio for the surrounding organs at risk, such as the bladder and rectum, theoretically allows for an improved therapeutic ratio window that maximizes tumor control while minimizing damage to healthy tissues.
A substantial body of evidence from prospective studies and meta-analyses supports the use of SBRT for localized prostate cancer. HYPO-RT-PC, a significant phase 3 noninferiority study, enrolled 1200 patients with intermediate (89%) and high-risk (11%) prostate cancer randomized between 2 arms, including CFRT to 78 Gy in 39 fractions and SBRT to 42.7 Gy in 7 fractions, treated 3 days weekly. After a median follow-up of 60 months, the estimated 5-year biochemical relapse-free survival rate was 84% in both groups.9 This trial was notable because it was the first randomized study to demonstrate that SBRT was noninferior to CFRT in intermediate- and high-risk prostate cancer patients. Another pivotal phase 3 trial, the PACE-B study, enrolled 874 patients to compare SBRT (36.25 Gy to the prostate gland, with a secondary dose of 40 Gy to the gross tumor volume where applicable, in 5 fractions) with CFRT (78 Gy in 39 fractions) and moderately hypofractionated radiotherapy (HFRT) (62 Gy in 20 fractions) in patients with low- or intermediate-risk prostate cancer. With a 74-month median follow-up, the study reported 5-year biochemical free rates of 94.6% for CFRT and 95.8% for SBRT, confirming the noninferiority of SBRT to CFRT.15
SBRT offers short, effective, and convenient treatment to many patients with localized prostate cancer. While previous guidelines were more restrictive, the March 2026 National Comprehensive Cancer Network (NCCN) guidelines now list SBRT as a preferred treatment modality for high-risk prostate cancer.16
Given the growing body of evidence supporting the efficacy and safety of SBRT, we implemented an SBRT program in 2014 at a tertiary care center for veterans. This retrospective study was undertaken to evaluate the early efficacy and toxicity of SBRT in patients with localized prostate cancer treated at our institution, including patients across all risk stratifications.
METHODS
We identified 242 patients diagnosed with prostate cancer who underwent SBRT treatment between November 2014 and October 2024 at Overland Park Veterans Affairs Radiation Oncology Clinic. For the final analysis, 46 patients with < 2 years of follow-up and 22 patients who died from causes other than prostate cancer were excluded, resulting in a cohort of 174 patients with ≥ 24-month follow-up.
Treatment
Patients eligible for staging underwent imaging according to NCCN guidelines, including computed tomography (CT) of the abdomen and pelvis, bone scintigraphy, or, in recent years, prostate-specific membrane antigen positron emission tomography, primarily used for unfavorable intermediate-risk (UIR) and high-risk (HR) cancers. Patients with a negative staging work-up for nodal or skeletal disease were included. Prior to planning the CT simulation, patients were given bowel preparation instructions, including a low-fiber and low-gas-producing diet, simethicone, and enemas, the night before and morning of the simulation. Patients were instructed to arrive with a comfortably full bladder, having not voided for 2 to 3 hours prior to the procedure. At Kansas City Veterans Affairs Medical Center (KCVAMC), SBRT treatment was generally restricted to patients with a baseline American Urological Association symptom score of 15 to 20 out of 35 and a prostate gland size < 80 mL to minimize the risk of acute urinary toxicity. We did not use intraprostatic fiducials, hydrogel rectal spacers, or intravenous contrast agents for planning CT simulation.
Patients were placed in a supine position, and a vacuum bag was used for immobilization. Following the CT simulation, the images were transferred to the Eclipse treatment planning system. The clinical target volume (CTV) encompassed the prostate and the proximal 1.0 cm of the seminal vesicles for Gleason score (GS) 1 to 2, and the entire seminal vesicle was included for GS 3 to 5, which is consistent with KCVAMC practice and established safety protocols. The planning target volume (PTV) was created by uniformly expanding the CTV by 5 to 7 mm, except for the posterior margin, which was limited to 3 to 5 mm. When elective nodal radiotherapy was planned for HR prostate cancer, the pelvic field for CT simulation started at the L-2 upper border, with the lower border extending to the lesser trochanter. The pelvic nodes were delineated per Radiation Therapy Oncology Group (RTOG) guidelines.17 The CTV nodes (CTVn), including common iliac, external and internal iliac nodes, obturator, and presacral nodes, were created by uniformly expanding the CTVn by 2 to 3 mm. Slice-by-slice corrections were made to avoid bowel overlap in these patients.
The use of androgen deprivation therapy (ADT) for a duration of 6 to 24 months was prescribed for patients with UIR or HR prostate cancer per NCCN guidelines.16 The prescribed dose to the PTV was 36.25 to 40 Gy (40 Gy was mostly used as a boost to the dominant lesion) in 5 fractions, with each fraction ranging from 7.25 to 8 Gy. For elective nodal radiotherapy in patients at HR, the prescribed dose was 25 Gy in 5 fractions. All patients were planned for VMAT, which aims to deliver ≥ 95% of the prescription dose to 95% of the PTV. Once the physician approved the treatment plan and physics quality assessment was completed, treatments commenced on an every-other-day schedule. Patients received the same bowel preparation instructions for each treatment as for the planning CT simulation. Daily treatment accuracy was confirmed via daily 3-dimensional cone-beam CT (CBCT) for IGRT. No fiducials or hydrogel rectal spacers were used.
Follow-up Schedule and Toxicity Assessment
Follow-up assessments were conducted 4 to 6 weeks after radiation therapy and then repeated every 6 months for 2 to 5 years, and annually thereafter. At each follow-up visit, patients were evaluated for genitourinary (GU) and gastrointestinal (GI) toxicity, according to RTOG toxicity criteria. Prostate-specific antigen (PSA) levels were monitored; in patients receiving ADT, testosterone levels were also checked.
Statistical Analysis
Biochemical failure was defined using the Phoenix definition (nadir PSA + 2 ng/mL). Differences between dose cohorts were assessed using the log-rank test for survival outcomes and X2 testing for categorical variables. GU and GI toxicities were summarized as cumulative incidences of RTOG grade ≥ II events. Statistical significance was set at P < .05.
RESULTS
One hundred seventy-four patients were included in the retrospective review. Patients had a median follow-up of 45 months (range, 24-111) (Figure). The median age at treatment was 74 years (range, 51-88), and the median pretreatment PSA level was 11.9 ng/mL (range, 0.6-69.5). Twenty-six patients (14.9%) had a GS 1, 77 (44.3%) had GS 2, 41 (23.6%) had GS 3, 18 (10.3%) had GS 4, and 12 (6.9%) had GS 5. Fifty-one patients (29.3%) received elective pelvic nodal radiotherapy, and 93 patients (53.4%) received ADT (Table 1).

At 24 months follow-up, 6 patients (3.4%) had biochemical failures. One patient died from metastatic prostate cancer, and 5 patients are living with biochemical failure (Table 2). The actuarial 5-year overall survival (OS) rate was 99.4%, and the 5-year disease-free survival (DFS) rate was 96.6%. We performed a subanalysis comparing outcomes of the 36.25 Gy vs 40 Gy SBRT cohorts. There was no statistically significant difference in DFS, OS, or the cumulative incidence of grade II/III toxicity between patients treated with 40 Gy vs 36.25 Gy. Outcomes stratified by NCCN risk groups (low, intermediate, high/very high) are detailed in Table 3. As expected, DFS was slightly lower in the high-risk group, but overall disease control remained high across all stratifications.


The cumulative incidence of RTOG grade II and higher GU toxicity was 28.2% (Table 4). This included 46 patients (26.4%) with grade II GU toxicity and 2 patients (1.2%) who developed grade III GU complications (1 requiring self-catheterization and another a suprapubic catheter for urinary retention). One patient (0.6%) treated with a 40 Gy dose regimen experienced a grade IV GU complication in the form of a rectovesical fistula necessitating surgical intervention.

The cumulative incidence of RTOG grade II or higher GI toxicity was 3.4%, and no grade III or IV gastrointestinal toxicities were observed during the follow-up period. Importantly, intraprostatic fiducials, hydrogel rectal spacers, or intravenous contrast were not routinely used in this cohort of patients.
The high rates of actuarial 5-year DFS and OS observed suggest a favorable initial response to the SBRT regimen employed at KCVAMC. However, given the potential for late recurrence in patients with prostate cancer, longer follow-up is essential to determine the durability of these outcomes. The observed GU toxicity rate of 28.2% for grade II and higher events warrants careful consideration and compares with other published data on SBRT for prostate cancer.15 The occurrence of a grade IV rectovesical fistula, although rare, is a notable adverse event that warrants discussion in the context of the treatment approach. The low incidence of grade II or higher GI toxicity is an encouraging finding, particularly given that hydrogel rectal spacers are not routinely used to minimize rectal exposure.
DISCUSSION
The primary objective of this retrospective study was to evaluate the outcomes of SBRT for patients with localized prostate cancer treated at KCVAMC and to compare these results with those reported in the literature. Our findings demonstrate promising intermediate-term efficacy, with an estimated 5-year DFS of 96.6% and OS of 99.4% at a median follow-up of 45 months. Furthermore, the observed toxicity profile appears acceptable, with a cumulative grade II and higher GU toxicity rate of 28.2% and a grade II or higher GI toxicity rate of 3.4%. Notably, these outcomes were achieved without the routine use of intraprostatic fiducials or hydrogel rectal spacers.
Two pivotal randomized phase 3 trials have established the noninferiority of ultrahypofractionated radiotherapy (UHRT) with SBRT over conventional fractionation. The HYPO-RT-PC trial compared SBRT (42.7 Gy in 7 fractions) with conventional fractionation (78 Gy in 39 fractions) in intermediate- and high-risk patients with prostate cancer and reported a 5-year biochemical relapse-free survival of 84% in both arms.9 The PACE-B trial, which included patients at low- and intermediate-risk, compared SBRT (36.25 Gy in 5 fractions) with conventional or moderate HFRT and reported a 5-year biochemical control rate of 95.8% in the SBRT arm and 94.6% in the control arm.15
A comprehensive review and meta-analysis of 7 phase 3 studies involving 6795 patients compared different radiotherapy regimens, namely, UHRT, HFRT, and CFRT, and reported that after 5 years, the DFS rates were 85.1% for CFRT, 86% for HFRT, and 85% for UHRT, with no significant difference in toxicity among the 3 different treatment approaches.18 This suggests that shorter, more intense radiotherapy schedules (UHRT and HFRT) may be as effective and safe as traditional, longer courses of radiation.
There are multiple published nonrandomized prospective trials in which thousands of patients with extreme hypofractionation have been treated with different doses, fractions, and techniques. While heterogeneity and limited long-term follow-up in the existing evidence are acknowledged, these data suggest that prostate SBRT provides appropriate biochemical control with few high-grade toxicities, supporting its ongoing global use and justifying further prospective investigations. Comparative data are shown in Table 5. Several ongoing studies are evaluating noninferiority, superiority, and cost-effectiveness using different methodologies (Table 6).9,15,19-24


This study’s efficacy outcomes, particularly the high DFS rate, are consistent with the findings from these landmark trials, suggesting that the SBRT regimen used at KCVAMC is effective in achieving early disease control despite 17.2% of patients having high-risk disease. The GU toxicity observed in this study, with a 28.2% rate of grade II or higher events, is also comparable with the 26.9% reported in the 5-fraction SBRT arm of the PACE-B trial, which had a longer median follow-up of 74 months.15 It is important to note that a portion of these grade II events occurred in patients who were already on a blockers for pre-existing lower urinary tract symptoms before starting radiotherapy, which may inflate the observed cumulative acute toxicity score.
A critical comparison is how SBRT toxicity aligns with moderate hypofractionation (eg, 60 Gy in 20 fractions or 70 Gy in 28 fractions as reported by others).4,6 Our observed grade III and higher GU toxicity rate (1.7%) and grade III and higher GI toxicity rate (0%) are highly favorable when compared with historical moderate hypofractionation data, which typically report grade III GU toxicity in the range of 2% to 3% and grade III GI toxicity around 1% to 2%. This suggests that despite the higher dose per fraction, SBRT does not necessarily lead to increased severe acute toxicity, potentially offering a superior therapeutic ratio for GI and GU sparing.
However, the occurrence of a grade IV rectovesical fistula in 1 patient (0.6%)—who received the 40 Gy dose—was a serious complication that warrants careful consideration. This rare, but severe, complication in the higher dose cohort underscores the potential for increased organ-at-risk toxicity, particularly in the absence of a hydrogel rectal spacer, which is designed to mitigate high-dose rectal exposure. While the overall rate of significant GU toxicity remains low, this event highlights the potential risks associated with SBRT. Hydrogel rectal spacers are designed to increase the distance between the prostate and the rectum, which can reduce the rectal radiation dose and potentially mitigate the risk of such fistulas. The low rate of grade II or worse GI toxicity (3.4%) in our study is noteworthy, especially considering that hydrogel spacers were not routinely used. This finding aligns with the 2.5% GI toxicity rate reported in the SBRT arm of the PACE-B trial, suggesting that careful treatment planning and delivery techniques, such as VMAT-IMRT and daily CBCT for IGRT, may contribute to minimizing GI toxicity even without the use of rectal spacers.15 The exclusive use of 3-dimensional CBCT for IGRT in our study, without the use of fiducial markers, suggests that accurate target localization can be achieved with this approach, contributing to the observed efficacy and reduced toxicity.
Strengths and Limitations
This study’s retrospective, single-center design may have introduced selection bias. The median follow-up of 45 months, while substantial, is still relatively short for assessing very late toxicities and long-term oncologic outcomes in prostate cancer, which is known for late recurrences. Additionally, the lack of a direct comparison group within KCVAMC limits the ability to definitively attribute the observed outcomes solely to SBRT treatment. However, the strengths of this study include the inclusion of a consecutive series of veteran patients with localized prostate cancer across all risk categories, providing a real-world perspective on SBRT outcomes in a diverse patient population. Furthermore, the detailed assessment of efficacy and toxicity via standardized RTOG criteria enhances the comparability of our findings with those of other published prospective studies, despite the retrospective nature of the data.
CONCLUSIONS
This single-institution retrospective analysis revealed that short-term SBRT (36.25 to 40 Gy in 5 fractions), with a minimum follow-up of 24 months and a median follow-up of 45 months, for localized prostate cancer, including patients at HR, is associated with promising early efficacy and acceptable toxicity, even in the absence of routine fiducial or hydrogel spacer use. The favorable actuarial 5-year DFS and OS rates, coupled with a manageable toxicity profile, suggest that SBRT is a safe and convenient treatment option for many patients with localized prostate cancer. However, a longer follow-up is necessary to confirm these findings and fully characterize the long-term efficacy and toxicity of this SBRT regimen. Nevertheless, the results contribute to the growing body of evidence suggesting that SBRT is a safe and convenient treatment option for many patients with localized prostate cancer.
Prostate cancer is the most common cancer in US males, with an estimated 313,780 new cases and 35,770 deaths in 2025.1 Several treatment options are available for localized prostate cancer that have similar outcomes, including active surveillance for low-risk cancers, surgery, or radiotherapy.2,3 Conventional fractionation radiotherapy (CFRT) with 40 to 45 fractions over 8 to 9 weeks has been used for decades. Over the past 2 decades, moderate hypofractionation schedules with 2.4 to 3.4 Gy per fraction over 20 to 28 fractions have become standard, as many noninferiority randomized clinical trials (RCTs) such as CHHiP (UK),4 PROFIT (Canada and Europe),5 NRG Oncology RTOG 0415 (US),6 HYPRO (Netherlands),7,8 and HYPO-RT-PC (Sweden and Denmark),9 have shown the noninferiority of moderately hypofractionated radiotherapy compared with CFRT. Notably, most of these noninferiority studies primarily included patients with low- or intermediate-risk prostate cancer, except for the HYPO-RT-PC trial,9 which also included patients with intermediate- and high-risk prostate cancer.
These noninferiority studies, along with technological advances in radiotherapy, such as intensity-modulated radiotherapy (IMRT), volumetric modulated arc therapy (VMAT), and image-guided radiotherapy (IGRT), paved the path to ultrahypofractionated stereotactic body radiotherapy (SBRT) that is delivered in 5 fractions of ≥ 6 Gy. This high dose per fraction may have a radiobiologic advantage over conventional fractionation. The relatively low a/ß ratio of prostate cancer, estimated to be between 1 and 2, suggests that tumor cells may be particularly sensitive to the high doses per fraction delivered in SBRT.10-13 Compared with CFRT, SBRT-induced tumor cell death may also be mediated through different pathways; this pathway appears to be generated in a dose-dependent manner, particularly with doses > 8 Gy per fraction.14,15 Additionally, the higher a/ß ratio for the surrounding organs at risk, such as the bladder and rectum, theoretically allows for an improved therapeutic ratio window that maximizes tumor control while minimizing damage to healthy tissues.
A substantial body of evidence from prospective studies and meta-analyses supports the use of SBRT for localized prostate cancer. HYPO-RT-PC, a significant phase 3 noninferiority study, enrolled 1200 patients with intermediate (89%) and high-risk (11%) prostate cancer randomized between 2 arms, including CFRT to 78 Gy in 39 fractions and SBRT to 42.7 Gy in 7 fractions, treated 3 days weekly. After a median follow-up of 60 months, the estimated 5-year biochemical relapse-free survival rate was 84% in both groups.9 This trial was notable because it was the first randomized study to demonstrate that SBRT was noninferior to CFRT in intermediate- and high-risk prostate cancer patients. Another pivotal phase 3 trial, the PACE-B study, enrolled 874 patients to compare SBRT (36.25 Gy to the prostate gland, with a secondary dose of 40 Gy to the gross tumor volume where applicable, in 5 fractions) with CFRT (78 Gy in 39 fractions) and moderately hypofractionated radiotherapy (HFRT) (62 Gy in 20 fractions) in patients with low- or intermediate-risk prostate cancer. With a 74-month median follow-up, the study reported 5-year biochemical free rates of 94.6% for CFRT and 95.8% for SBRT, confirming the noninferiority of SBRT to CFRT.15
SBRT offers short, effective, and convenient treatment to many patients with localized prostate cancer. While previous guidelines were more restrictive, the March 2026 National Comprehensive Cancer Network (NCCN) guidelines now list SBRT as a preferred treatment modality for high-risk prostate cancer.16
Given the growing body of evidence supporting the efficacy and safety of SBRT, we implemented an SBRT program in 2014 at a tertiary care center for veterans. This retrospective study was undertaken to evaluate the early efficacy and toxicity of SBRT in patients with localized prostate cancer treated at our institution, including patients across all risk stratifications.
METHODS
We identified 242 patients diagnosed with prostate cancer who underwent SBRT treatment between November 2014 and October 2024 at Overland Park Veterans Affairs Radiation Oncology Clinic. For the final analysis, 46 patients with < 2 years of follow-up and 22 patients who died from causes other than prostate cancer were excluded, resulting in a cohort of 174 patients with ≥ 24-month follow-up.
Treatment
Patients eligible for staging underwent imaging according to NCCN guidelines, including computed tomography (CT) of the abdomen and pelvis, bone scintigraphy, or, in recent years, prostate-specific membrane antigen positron emission tomography, primarily used for unfavorable intermediate-risk (UIR) and high-risk (HR) cancers. Patients with a negative staging work-up for nodal or skeletal disease were included. Prior to planning the CT simulation, patients were given bowel preparation instructions, including a low-fiber and low-gas-producing diet, simethicone, and enemas, the night before and morning of the simulation. Patients were instructed to arrive with a comfortably full bladder, having not voided for 2 to 3 hours prior to the procedure. At Kansas City Veterans Affairs Medical Center (KCVAMC), SBRT treatment was generally restricted to patients with a baseline American Urological Association symptom score of 15 to 20 out of 35 and a prostate gland size < 80 mL to minimize the risk of acute urinary toxicity. We did not use intraprostatic fiducials, hydrogel rectal spacers, or intravenous contrast agents for planning CT simulation.
Patients were placed in a supine position, and a vacuum bag was used for immobilization. Following the CT simulation, the images were transferred to the Eclipse treatment planning system. The clinical target volume (CTV) encompassed the prostate and the proximal 1.0 cm of the seminal vesicles for Gleason score (GS) 1 to 2, and the entire seminal vesicle was included for GS 3 to 5, which is consistent with KCVAMC practice and established safety protocols. The planning target volume (PTV) was created by uniformly expanding the CTV by 5 to 7 mm, except for the posterior margin, which was limited to 3 to 5 mm. When elective nodal radiotherapy was planned for HR prostate cancer, the pelvic field for CT simulation started at the L-2 upper border, with the lower border extending to the lesser trochanter. The pelvic nodes were delineated per Radiation Therapy Oncology Group (RTOG) guidelines.17 The CTV nodes (CTVn), including common iliac, external and internal iliac nodes, obturator, and presacral nodes, were created by uniformly expanding the CTVn by 2 to 3 mm. Slice-by-slice corrections were made to avoid bowel overlap in these patients.
The use of androgen deprivation therapy (ADT) for a duration of 6 to 24 months was prescribed for patients with UIR or HR prostate cancer per NCCN guidelines.16 The prescribed dose to the PTV was 36.25 to 40 Gy (40 Gy was mostly used as a boost to the dominant lesion) in 5 fractions, with each fraction ranging from 7.25 to 8 Gy. For elective nodal radiotherapy in patients at HR, the prescribed dose was 25 Gy in 5 fractions. All patients were planned for VMAT, which aims to deliver ≥ 95% of the prescription dose to 95% of the PTV. Once the physician approved the treatment plan and physics quality assessment was completed, treatments commenced on an every-other-day schedule. Patients received the same bowel preparation instructions for each treatment as for the planning CT simulation. Daily treatment accuracy was confirmed via daily 3-dimensional cone-beam CT (CBCT) for IGRT. No fiducials or hydrogel rectal spacers were used.
Follow-up Schedule and Toxicity Assessment
Follow-up assessments were conducted 4 to 6 weeks after radiation therapy and then repeated every 6 months for 2 to 5 years, and annually thereafter. At each follow-up visit, patients were evaluated for genitourinary (GU) and gastrointestinal (GI) toxicity, according to RTOG toxicity criteria. Prostate-specific antigen (PSA) levels were monitored; in patients receiving ADT, testosterone levels were also checked.
Statistical Analysis
Biochemical failure was defined using the Phoenix definition (nadir PSA + 2 ng/mL). Differences between dose cohorts were assessed using the log-rank test for survival outcomes and X2 testing for categorical variables. GU and GI toxicities were summarized as cumulative incidences of RTOG grade ≥ II events. Statistical significance was set at P < .05.
RESULTS
One hundred seventy-four patients were included in the retrospective review. Patients had a median follow-up of 45 months (range, 24-111) (Figure). The median age at treatment was 74 years (range, 51-88), and the median pretreatment PSA level was 11.9 ng/mL (range, 0.6-69.5). Twenty-six patients (14.9%) had a GS 1, 77 (44.3%) had GS 2, 41 (23.6%) had GS 3, 18 (10.3%) had GS 4, and 12 (6.9%) had GS 5. Fifty-one patients (29.3%) received elective pelvic nodal radiotherapy, and 93 patients (53.4%) received ADT (Table 1).

At 24 months follow-up, 6 patients (3.4%) had biochemical failures. One patient died from metastatic prostate cancer, and 5 patients are living with biochemical failure (Table 2). The actuarial 5-year overall survival (OS) rate was 99.4%, and the 5-year disease-free survival (DFS) rate was 96.6%. We performed a subanalysis comparing outcomes of the 36.25 Gy vs 40 Gy SBRT cohorts. There was no statistically significant difference in DFS, OS, or the cumulative incidence of grade II/III toxicity between patients treated with 40 Gy vs 36.25 Gy. Outcomes stratified by NCCN risk groups (low, intermediate, high/very high) are detailed in Table 3. As expected, DFS was slightly lower in the high-risk group, but overall disease control remained high across all stratifications.


The cumulative incidence of RTOG grade II and higher GU toxicity was 28.2% (Table 4). This included 46 patients (26.4%) with grade II GU toxicity and 2 patients (1.2%) who developed grade III GU complications (1 requiring self-catheterization and another a suprapubic catheter for urinary retention). One patient (0.6%) treated with a 40 Gy dose regimen experienced a grade IV GU complication in the form of a rectovesical fistula necessitating surgical intervention.

The cumulative incidence of RTOG grade II or higher GI toxicity was 3.4%, and no grade III or IV gastrointestinal toxicities were observed during the follow-up period. Importantly, intraprostatic fiducials, hydrogel rectal spacers, or intravenous contrast were not routinely used in this cohort of patients.
The high rates of actuarial 5-year DFS and OS observed suggest a favorable initial response to the SBRT regimen employed at KCVAMC. However, given the potential for late recurrence in patients with prostate cancer, longer follow-up is essential to determine the durability of these outcomes. The observed GU toxicity rate of 28.2% for grade II and higher events warrants careful consideration and compares with other published data on SBRT for prostate cancer.15 The occurrence of a grade IV rectovesical fistula, although rare, is a notable adverse event that warrants discussion in the context of the treatment approach. The low incidence of grade II or higher GI toxicity is an encouraging finding, particularly given that hydrogel rectal spacers are not routinely used to minimize rectal exposure.
DISCUSSION
The primary objective of this retrospective study was to evaluate the outcomes of SBRT for patients with localized prostate cancer treated at KCVAMC and to compare these results with those reported in the literature. Our findings demonstrate promising intermediate-term efficacy, with an estimated 5-year DFS of 96.6% and OS of 99.4% at a median follow-up of 45 months. Furthermore, the observed toxicity profile appears acceptable, with a cumulative grade II and higher GU toxicity rate of 28.2% and a grade II or higher GI toxicity rate of 3.4%. Notably, these outcomes were achieved without the routine use of intraprostatic fiducials or hydrogel rectal spacers.
Two pivotal randomized phase 3 trials have established the noninferiority of ultrahypofractionated radiotherapy (UHRT) with SBRT over conventional fractionation. The HYPO-RT-PC trial compared SBRT (42.7 Gy in 7 fractions) with conventional fractionation (78 Gy in 39 fractions) in intermediate- and high-risk patients with prostate cancer and reported a 5-year biochemical relapse-free survival of 84% in both arms.9 The PACE-B trial, which included patients at low- and intermediate-risk, compared SBRT (36.25 Gy in 5 fractions) with conventional or moderate HFRT and reported a 5-year biochemical control rate of 95.8% in the SBRT arm and 94.6% in the control arm.15
A comprehensive review and meta-analysis of 7 phase 3 studies involving 6795 patients compared different radiotherapy regimens, namely, UHRT, HFRT, and CFRT, and reported that after 5 years, the DFS rates were 85.1% for CFRT, 86% for HFRT, and 85% for UHRT, with no significant difference in toxicity among the 3 different treatment approaches.18 This suggests that shorter, more intense radiotherapy schedules (UHRT and HFRT) may be as effective and safe as traditional, longer courses of radiation.
There are multiple published nonrandomized prospective trials in which thousands of patients with extreme hypofractionation have been treated with different doses, fractions, and techniques. While heterogeneity and limited long-term follow-up in the existing evidence are acknowledged, these data suggest that prostate SBRT provides appropriate biochemical control with few high-grade toxicities, supporting its ongoing global use and justifying further prospective investigations. Comparative data are shown in Table 5. Several ongoing studies are evaluating noninferiority, superiority, and cost-effectiveness using different methodologies (Table 6).9,15,19-24


This study’s efficacy outcomes, particularly the high DFS rate, are consistent with the findings from these landmark trials, suggesting that the SBRT regimen used at KCVAMC is effective in achieving early disease control despite 17.2% of patients having high-risk disease. The GU toxicity observed in this study, with a 28.2% rate of grade II or higher events, is also comparable with the 26.9% reported in the 5-fraction SBRT arm of the PACE-B trial, which had a longer median follow-up of 74 months.15 It is important to note that a portion of these grade II events occurred in patients who were already on a blockers for pre-existing lower urinary tract symptoms before starting radiotherapy, which may inflate the observed cumulative acute toxicity score.
A critical comparison is how SBRT toxicity aligns with moderate hypofractionation (eg, 60 Gy in 20 fractions or 70 Gy in 28 fractions as reported by others).4,6 Our observed grade III and higher GU toxicity rate (1.7%) and grade III and higher GI toxicity rate (0%) are highly favorable when compared with historical moderate hypofractionation data, which typically report grade III GU toxicity in the range of 2% to 3% and grade III GI toxicity around 1% to 2%. This suggests that despite the higher dose per fraction, SBRT does not necessarily lead to increased severe acute toxicity, potentially offering a superior therapeutic ratio for GI and GU sparing.
However, the occurrence of a grade IV rectovesical fistula in 1 patient (0.6%)—who received the 40 Gy dose—was a serious complication that warrants careful consideration. This rare, but severe, complication in the higher dose cohort underscores the potential for increased organ-at-risk toxicity, particularly in the absence of a hydrogel rectal spacer, which is designed to mitigate high-dose rectal exposure. While the overall rate of significant GU toxicity remains low, this event highlights the potential risks associated with SBRT. Hydrogel rectal spacers are designed to increase the distance between the prostate and the rectum, which can reduce the rectal radiation dose and potentially mitigate the risk of such fistulas. The low rate of grade II or worse GI toxicity (3.4%) in our study is noteworthy, especially considering that hydrogel spacers were not routinely used. This finding aligns with the 2.5% GI toxicity rate reported in the SBRT arm of the PACE-B trial, suggesting that careful treatment planning and delivery techniques, such as VMAT-IMRT and daily CBCT for IGRT, may contribute to minimizing GI toxicity even without the use of rectal spacers.15 The exclusive use of 3-dimensional CBCT for IGRT in our study, without the use of fiducial markers, suggests that accurate target localization can be achieved with this approach, contributing to the observed efficacy and reduced toxicity.
Strengths and Limitations
This study’s retrospective, single-center design may have introduced selection bias. The median follow-up of 45 months, while substantial, is still relatively short for assessing very late toxicities and long-term oncologic outcomes in prostate cancer, which is known for late recurrences. Additionally, the lack of a direct comparison group within KCVAMC limits the ability to definitively attribute the observed outcomes solely to SBRT treatment. However, the strengths of this study include the inclusion of a consecutive series of veteran patients with localized prostate cancer across all risk categories, providing a real-world perspective on SBRT outcomes in a diverse patient population. Furthermore, the detailed assessment of efficacy and toxicity via standardized RTOG criteria enhances the comparability of our findings with those of other published prospective studies, despite the retrospective nature of the data.
CONCLUSIONS
This single-institution retrospective analysis revealed that short-term SBRT (36.25 to 40 Gy in 5 fractions), with a minimum follow-up of 24 months and a median follow-up of 45 months, for localized prostate cancer, including patients at HR, is associated with promising early efficacy and acceptable toxicity, even in the absence of routine fiducial or hydrogel spacer use. The favorable actuarial 5-year DFS and OS rates, coupled with a manageable toxicity profile, suggest that SBRT is a safe and convenient treatment option for many patients with localized prostate cancer. However, a longer follow-up is necessary to confirm these findings and fully characterize the long-term efficacy and toxicity of this SBRT regimen. Nevertheless, the results contribute to the growing body of evidence suggesting that SBRT is a safe and convenient treatment option for many patients with localized prostate cancer.
- Siegel RL, Kratzer TB, Giaquinto AN, et al. Cancer statistics, 2025. CA Cancer J Clin. 2025;75:10-45. doi:10.3322/caac.21871
- Donovan JL, Hamdy FC, Lane JA, et al. Patient-reported outcomes after monitoring, surgery, or radiotherapy for prostate cancer. N Engl J Med. 2016;375:1425-1437. doi:10.1056/NEJMoa1606221
- Hamdy FC, Donovan JL, Lane JA, et al. 10-year outcomes after monitoring, surgery, or radiotherapy for localized prostate cancer. N Engl J Med. 2016;375:1415-1424. doi:10.1056/NEJMoa1606220
- Dearnaley D, Syndikus I, Mossop H, et al. Conventional versus hypofractionated high-dose intensity-modulated radiotherapy for prostate cancer: 5-year outcomes of the randomised, non-inferiority, phase 3 CHHiP trial. Lancet Oncol. 2016;17:1047-1060. doi:10.1016/S1470-2045(16)30102-4
- Catton CN, Lukka H, Gu CS, et al. Randomized trial of a hypofractionated radiation regimen for the treatment of localized prostate cancer. J Clin Oncol. 2017;35:1884-1890. doi:10.1200/JCO.2016.71.7397
- Lee WR, Dignam JJ, Amin MB, et al. Long-term analysis of NRG Oncology RTOG 0415: a randomized phase III noninferiority study comparing two fractionation schedules in patients with low-risk prostate cancer. J Clin Oncol. 2024;42:2377-2381. doi:10.1200/JCO.23.02445
- de Vries KC, Wortel RC, Oomen-de Hoop E, et al. Hypofractionated versus conventionally fractionated radiation therapy for patients with intermediate- or high-risk, localized, prostate cancer: 7-year outcomes from the randomized, multicenter, open-label, phase 3 HYPRO trial. Int J Radiat Oncol Biol Phys. 2020;106:108-115. doi:10.1016/j.ijrobp.2019.09.007
- Incrocci L, Wortel RC, Alemayehu WG, et al. Hypofractionated versus conventionally fractionated radiotherapy for patients with localised prostate cancer (HYPRO): final efficacy results from a randomised, multicentre, open-label, phase 3 trial. Lancet Oncol. 2016;17:1061-1069. doi:10.1016/S1470-2045(16)30070-5
- Widmark A, Gunnlaugsson A, Beckman L, et al. Ultra-hypofractionated versus conventionally fractionated radiotherapy for prostate cancer: 5-year outcomes of the HYPO-RT-PC randomised, non-inferiority, phase 3 trial. Lancet. 2019;394:385-395. doi:10.1016/S0140-6736(19)31131-6
- Brenner DJ, Hall EJ. Fractionation and protraction for radiotherapy of prostate carcinoma. Int J Radiat Oncol Biol Phys. 1999;43:1095-101. doi:10.1016/s0360-3016(98)00438-6
- Dasu A. Is the alpha/beta value for prostate tumours low enough to be safely used in clinical trials? Clin Oncol (R Coll Radiol). 2007;19:289-301. doi:10.1016/j.clon.2007.02.007
- Garcia-Barros M, Paris F, Cordon-Cardo C, et al. Tumor response to radiotherapy regulated by endothelial cell apoptosis. Science. 2003;300:1155-1159. doi:10.1126/science.1082504
- Gulliford S, Hall E, Dearnaley D. Hypofractionation trials and radiobiology of prostate cancer. Oncoscience. 2017;4:27-28. doi:10.18632/oncoscience.347
- Fuks Z, Kolesnick R. Engaging the vascular component of the tumor response. Cancer Cell. 2005;8:89-91. doi:10.1016/j.ccr.2005.07.014
- van As N, Griffin C, Tree A, et al. Phase 3 Trial of stereotactic body radiotherapy in localized prostate cancer. N Engl J Med. Oct 17 2024;391:1413-1425. doi:10.1056/NEJMoa2403365
- National Comprehensive Cancer Network. NCCN Guidelines Version 5. 2026 Prostate Cancer. Accessed March 24, 2026. https://www.nccn.org/professionals/physician_gls/pdf/prostate.pdf
- Lawton CA, Michalski J, El-Naqa I, et al. RTOG GU radiation oncology specialists reach consensus on pelvic lymph node volumes for high-risk prostate cancer. Int J Radiat Oncol Biol Phys. 2009;74:383-387. doi:10.1016/j.ijrobp.2008.08.002
- Lehrer EJ, Kishan AU, Yu JB, et al. Ultrahypofractionated versus hypofractionated and conventionally fractionated radiation therapy for localized prostate cancer: a systematic review and meta-analysis of phase III randomized trials. Radiother Oncol. 2020;148:235-242. doi:10.1016/j.radonc.2020.04.037
- De Cooman B, Debacker T, Adams T, et al. Stereotactic body radiotherapy (SBRT) as a treatment for localized prostate cancer: a retrospective analysis. Radiat Oncol. 2025;20:25. doi:10.1186/s13014-025-02598-8
- Fuller DB, Falchook AD, Crabtree T, et al. Phase 2 multicenter trial of heterogeneous-dosing stereotactic body radiotherapy for low- and intermediate-risk prostate cancer: 5-year outcomes. Eur Urol Oncol. 2018;1:540-547. doi:10.1016/j.euo.2018.06.013
- Jackson WC, Silva J, Hartman HE, et al. Stereotactic body radiation therapy for localized prostate cancer: a systematic review and meta-analysis of over 6,000 patients treated on prospective studies. Int J Radiat Oncol Biol Phys. 2019;104:778-789. doi:10.1016/j.ijrobp.2019.03.051
- Meier RM, Bloch DA, Cotrutz C, et al. Multicenter trial of stereotactic body radiation therapy for low- and intermediate-risk prostate cancer: survival and toxicity endpoints. nt J Radiat Oncol Biol Phys. 2018;102:296-303. doi:10.1016/j.ijrobp.2018.05.040
- Quon HC, Ong A, Cheung P, et al. Once-weekly versus every-other-day stereotactic body radiotherapy in patients with prostate cancer (PATRIOT): a phase 2 randomized trial. Radiother Oncol. 2018;127:206-212. doi:10.1016/j.radonc.2018.02.029
- Zelefsky MJ, Kollmeier M, McBride S, et al. Five-year outcomes of a phase 1 dose-escalation study using stereotactic body radiosurgery for patients with low-risk and intermediate-risk prostate cancer. Int J Radiat Oncol Biol Phys. 2019;104:42-49. doi:10.1016/j.ijrobp.2018.12.045
- Siegel RL, Kratzer TB, Giaquinto AN, et al. Cancer statistics, 2025. CA Cancer J Clin. 2025;75:10-45. doi:10.3322/caac.21871
- Donovan JL, Hamdy FC, Lane JA, et al. Patient-reported outcomes after monitoring, surgery, or radiotherapy for prostate cancer. N Engl J Med. 2016;375:1425-1437. doi:10.1056/NEJMoa1606221
- Hamdy FC, Donovan JL, Lane JA, et al. 10-year outcomes after monitoring, surgery, or radiotherapy for localized prostate cancer. N Engl J Med. 2016;375:1415-1424. doi:10.1056/NEJMoa1606220
- Dearnaley D, Syndikus I, Mossop H, et al. Conventional versus hypofractionated high-dose intensity-modulated radiotherapy for prostate cancer: 5-year outcomes of the randomised, non-inferiority, phase 3 CHHiP trial. Lancet Oncol. 2016;17:1047-1060. doi:10.1016/S1470-2045(16)30102-4
- Catton CN, Lukka H, Gu CS, et al. Randomized trial of a hypofractionated radiation regimen for the treatment of localized prostate cancer. J Clin Oncol. 2017;35:1884-1890. doi:10.1200/JCO.2016.71.7397
- Lee WR, Dignam JJ, Amin MB, et al. Long-term analysis of NRG Oncology RTOG 0415: a randomized phase III noninferiority study comparing two fractionation schedules in patients with low-risk prostate cancer. J Clin Oncol. 2024;42:2377-2381. doi:10.1200/JCO.23.02445
- de Vries KC, Wortel RC, Oomen-de Hoop E, et al. Hypofractionated versus conventionally fractionated radiation therapy for patients with intermediate- or high-risk, localized, prostate cancer: 7-year outcomes from the randomized, multicenter, open-label, phase 3 HYPRO trial. Int J Radiat Oncol Biol Phys. 2020;106:108-115. doi:10.1016/j.ijrobp.2019.09.007
- Incrocci L, Wortel RC, Alemayehu WG, et al. Hypofractionated versus conventionally fractionated radiotherapy for patients with localised prostate cancer (HYPRO): final efficacy results from a randomised, multicentre, open-label, phase 3 trial. Lancet Oncol. 2016;17:1061-1069. doi:10.1016/S1470-2045(16)30070-5
- Widmark A, Gunnlaugsson A, Beckman L, et al. Ultra-hypofractionated versus conventionally fractionated radiotherapy for prostate cancer: 5-year outcomes of the HYPO-RT-PC randomised, non-inferiority, phase 3 trial. Lancet. 2019;394:385-395. doi:10.1016/S0140-6736(19)31131-6
- Brenner DJ, Hall EJ. Fractionation and protraction for radiotherapy of prostate carcinoma. Int J Radiat Oncol Biol Phys. 1999;43:1095-101. doi:10.1016/s0360-3016(98)00438-6
- Dasu A. Is the alpha/beta value for prostate tumours low enough to be safely used in clinical trials? Clin Oncol (R Coll Radiol). 2007;19:289-301. doi:10.1016/j.clon.2007.02.007
- Garcia-Barros M, Paris F, Cordon-Cardo C, et al. Tumor response to radiotherapy regulated by endothelial cell apoptosis. Science. 2003;300:1155-1159. doi:10.1126/science.1082504
- Gulliford S, Hall E, Dearnaley D. Hypofractionation trials and radiobiology of prostate cancer. Oncoscience. 2017;4:27-28. doi:10.18632/oncoscience.347
- Fuks Z, Kolesnick R. Engaging the vascular component of the tumor response. Cancer Cell. 2005;8:89-91. doi:10.1016/j.ccr.2005.07.014
- van As N, Griffin C, Tree A, et al. Phase 3 Trial of stereotactic body radiotherapy in localized prostate cancer. N Engl J Med. Oct 17 2024;391:1413-1425. doi:10.1056/NEJMoa2403365
- National Comprehensive Cancer Network. NCCN Guidelines Version 5. 2026 Prostate Cancer. Accessed March 24, 2026. https://www.nccn.org/professionals/physician_gls/pdf/prostate.pdf
- Lawton CA, Michalski J, El-Naqa I, et al. RTOG GU radiation oncology specialists reach consensus on pelvic lymph node volumes for high-risk prostate cancer. Int J Radiat Oncol Biol Phys. 2009;74:383-387. doi:10.1016/j.ijrobp.2008.08.002
- Lehrer EJ, Kishan AU, Yu JB, et al. Ultrahypofractionated versus hypofractionated and conventionally fractionated radiation therapy for localized prostate cancer: a systematic review and meta-analysis of phase III randomized trials. Radiother Oncol. 2020;148:235-242. doi:10.1016/j.radonc.2020.04.037
- De Cooman B, Debacker T, Adams T, et al. Stereotactic body radiotherapy (SBRT) as a treatment for localized prostate cancer: a retrospective analysis. Radiat Oncol. 2025;20:25. doi:10.1186/s13014-025-02598-8
- Fuller DB, Falchook AD, Crabtree T, et al. Phase 2 multicenter trial of heterogeneous-dosing stereotactic body radiotherapy for low- and intermediate-risk prostate cancer: 5-year outcomes. Eur Urol Oncol. 2018;1:540-547. doi:10.1016/j.euo.2018.06.013
- Jackson WC, Silva J, Hartman HE, et al. Stereotactic body radiation therapy for localized prostate cancer: a systematic review and meta-analysis of over 6,000 patients treated on prospective studies. Int J Radiat Oncol Biol Phys. 2019;104:778-789. doi:10.1016/j.ijrobp.2019.03.051
- Meier RM, Bloch DA, Cotrutz C, et al. Multicenter trial of stereotactic body radiation therapy for low- and intermediate-risk prostate cancer: survival and toxicity endpoints. nt J Radiat Oncol Biol Phys. 2018;102:296-303. doi:10.1016/j.ijrobp.2018.05.040
- Quon HC, Ong A, Cheung P, et al. Once-weekly versus every-other-day stereotactic body radiotherapy in patients with prostate cancer (PATRIOT): a phase 2 randomized trial. Radiother Oncol. 2018;127:206-212. doi:10.1016/j.radonc.2018.02.029
- Zelefsky MJ, Kollmeier M, McBride S, et al. Five-year outcomes of a phase 1 dose-escalation study using stereotactic body radiosurgery for patients with low-risk and intermediate-risk prostate cancer. Int J Radiat Oncol Biol Phys. 2019;104:42-49. doi:10.1016/j.ijrobp.2018.12.045
Early Outcomes of Stereotactic Body Radiotherapy for Localized Prostate Cancer: A Retrospective Analysis
Early Outcomes of Stereotactic Body Radiotherapy for Localized Prostate Cancer: A Retrospective Analysis
Capturing Pathology Workload Associated With Precision Oncology
Capturing Pathology Workload Associated With Precision Oncology
Precision oncology (PO) is cancer treatment individualized to the special characteristics of a patient’s tumor. It has become standard care for most patients with advanced cancer. Advances in molecular cell biology and immunology have identified numerous targets and many therapies have been developed as a result. Molecular testing and targeted therapy are typically covered by insurance, even when inflation-adjusted price growth is considered.1 Barriers remain, however, and pathologists are uniquely qualified to address some of the challenges.2
Most US laboratories do not perform molecular diagnostic tests for PO, particularly comprehensive evaluation of multiple targets by next-generation sequencing, or other techniques. Instead, these tests are sent to reference laboratories. The workload associated with referral testing is an obstacle to increased use of such tests. Despite guideline recommendations, a minority of indicated tests are performed.3 This is true even when testing costs are covered by clinical trials or grants, such as those in the Veterans Health Administration (VHA).
The main characteristic of successful PO programs is a multidisciplinary commitment, including pathology involvement in molecular tumor boards and assistance with test selection, tissue collection, and result interpretation.2 This, however, adds to the workload for the pathology department, an underappreciated phenomenon in the context of pathology workforce shortages.4
Workforce shortages impact all occupations in the laboratory setting. Though the shortage of medical technologists in clinical pathology laboratories has repeatedly been identified as critical at the VHA as well as in the private sector, the same cannot be said for staff shortages in anatomic pathology laboratories. Thus, the hospital laboratory divisions are concerned with biopsy or resection tissue specimens as opposed to the bodily fluid specimens that predominate in clinical laboratories.5 The lack of accurate data on histopathology technicians and technologists has precluded the degree of recognition seen for medical technologists. In labor statistics, these occupations are often obscured by inclusion with other jobs in broad categories such as medical and clinical laboratory technologists and technicians.6 Vacancy—the principal metric used to assess medical laboratory workforce shortage—fails to account for positions that are eventually eliminated after remaining vacant for prolonged periods, positions not replaced as a result of ambitious efficiency measures, or positions that were never created due to insufficient funding, reasons for administrative disapproval, or coverage by laboratory professionals working extra shifts or second jobs.7
Increased demand for pathologists is suggested by a 42% increase in workload per pathologist over the last decade, while a shortage is suggested by decreases in absolute and population-adjusted numbers of pathologists.8,9 An influx of pathologists is not an expected remedy due to the global decline in medical graduates pursuing careers in the field.8
Approximations for required labor and potential revenue generation are necessary to justify creation of pathology positions. This work mostly has gone uncaptured due to the limitations of Current Procedural Terminology (CPT) codes. Few laboratories have consistently used the 88363, 88325, and G0452 CPT codes. The pathology clinical consultation CPT codes (80503-80506) released in 2022 enhance acquisition of this work. The new codes replace 80500 and 80502 and allow for more precise identification of any work requiring medical judgment that a pathologist does at the request of another qualified health care professional (HCP) or as required by federal or state regulation.
The codes can be used to bill for associated time spent reviewing health records, communicating with other HCPs, placing orders, and documentation. An HCP can bill according to level of medical decision-making (MDM) or time spent by the consulting pathologist. Code 80503 can be billed for 5 to 20 minutes of a pathologist's time, 80504 for 21 to 40 minutes, 80505 for 41 to 60 minutes, and 80506 for each additional 30 minutes after the first hour. Levels of MDM (low, moderate, and high) are defined as for other evaluation and management services. A consultation report must be generated and contain documentation of the consultation request, pathologist interpretation, and justification for the level of service associated with the chosen code. Relative value units (RVUs) and reimbursement associated with each as well as other consultation-related codes are available in Table 1.

This article outlines how the pathology time investment associated with anatomic pathology molecular testing at the Kansas City Veterans Affairs Medical Center (KCVAMC) can be captured using the consultation process and new CPT codes. Staff included 4 pathologists, 3 histotechnologists, 1 histology supervisor, 1 grossing room technician, and 1 cytotechnologist, 1 cytology technician.
METHODS
The AP molecular testing consultation process at the KCVAMC was mapped, with the average time measured for each step (Figure). AP records for 2021 were reviewed to determine the number of AP molecular send out tests. Cumulative time investment was calculated in hours and a theoretical number of RVUs was calculated using the new pathology clinical consultation CPT codes (80503-80506). This theoretical number of RVUs was compared with the total AP RVUs generated in 2021 to determine a potential increase in RVUs with use of the new CPT codes to capture pathology work associated with AP molecular testing consultations.
RESULTS
From 2021 to 2023, there were 21,021 AP cases at the KCVAMC. Basal cell carcinomas and squamous cell carcinomas of the skin were excluded because they comprise most cancer cases but almost never necessitate AP molecular test consultations. A total of 2118 cancer cases were included, representing 10.1% of all cases. Ancillary AP molecular send-out tests were performed on 1338 (6.4%) cases. Since ancillary tissue tests are requested by consultation at the KCVAMC, this resulted in 1338 consultations (Table 2).

The time to complete a consultation was measured by calculating the mean time required to complete each step (Table 3). With in-house specimen consultations requiring 90 minutes each and outside specimen consultations requiring 100 minutes each, a total of 2040 hours of pathology staff time was necessary to complete associated consultations. Billing for this time with the new pathology clinical consultation CPT codes would generate 3847 RVUs, which would have equated to 14.8% (3847/25,920) of the anatomic pathology RVUs.

DISCUSSION
When considering the lengths of time for tasks associated with each consultation, it is important to remember that the volume (2-3 daily), was insufficient to meaningfully benefit from batching. Thus, waiting to perform a particular task until it was needed for multiple cases reduced the inefficiency associated with starting and switching between tasks. Both the Computerized Patient Record System and VistA had to be reopened, reauthenticated, and reloaded for each step that required use of the health record, printer, or fax machine. Faxes also required waiting for transmission and printed confirmation of successful transmission. As a result, the time values denoted for each step are likely underestimated, as the effect of interruptions is significant and not reflected in the estimates recorded.10
This analysis has demonstrated that PO entails a significant amount of work for pathology departments. To determine and maintain appropriate staffing models, this work must be captured and reimbursed. Unlike other pathology work, which is performed in-house and reimbursed for the associated test, a significant proportion of PO testing is sent out. Even if more reliable assays are developed, the physical processes of sending out samples and reporting test results cannot be outsourced. Independent and commensurate reimbursement methods are necessary to allow for this work and PO.
CMS included new pathology clinical consultation codes that may be used to bill for some of this work according to the 2022 physician fee schedule due to advocacy work by the College of American Pathologists and the American Medical Association CPT editorial panel.11
CONCLUSIONS
This analysis found that adoption of PO may present a significant amount of additional work for pathology departments. To determine and maintain appropriate staffing models, work completed by pathologists in this manner must be recorded and reimbursed. Pathologists need to be trained and encouraged to use these CPT codes and bill for the work described in this article. The increased revenue will allow for additional positions to alleviate the burdens imposed by understaffing so that pathology can function as a facilitator of PO rather than as a barrier to it.
- Wilson LE, Greiner MA, Altomare I, et al. Rapid rise in the cost of targeted cancer therapies for Medicare patients with solid tumors from 2006 to 2015. J Geriatr Oncol. 2021;12:375-380. doi:10.1016/j.jgo.2020.11.007
- Ersek JL, Black LJ, Thompson MA, et al. Implementing precision medicine programs and clinical trials in the community-based oncology practice: barriers and best practices. Am Soc Clin Oncol Educ Book. 2018;38:188-196. doi:10.1200/EDBK_200633
- Inal C, Yilmaz E, Cheng H, et al. Effect of reflex testing by pathologists on molecular testing rates in lung cancer patients: experience from a community-based academic center. J Clin Oncol. 2014;32:8098. doi:10.1200/jco.2014.32.15_suppl.8098
- Robboy SJ, Gupta S, Crawford JM, et al. The pathologist workforce in the United States: II. an interactive modeling tool for analyzing future qualitative and quantitative staffing demands for services. Arch Pathol Lab Med. 2015;139:1413-1430. doi:10.5858/arpa.2014-0559-OA
- OIG determination of Veterans Health Administration’s occupational staffing shortages fiscal year 2021. Department of Veterans Affairs OIG. September 28, 2021. Accessed January 30, 2026. https://www.oversight.gov/report/VA/OIG-determination-veterans-health-administrations-occupational-staffing-shortages-fiscal
- Zanto S, Cremeans L, Deutsch-Keahey D, et al. Addressing the clinical laboratory workforce shortage. The American Society for Clinical Laboratory Science. July 2, 2020. Accessed January 30, 2026. https://ascls.org/addressing-the-clinical-laboratory-workforce-shortage/
- Bennett A, Garcia E, Schulze M, et al. Building a laboratory workforce to meet the future: ASCP Task Force on the Laboratory Professionals Workforce. Am J Clin Pathol. 2014;141:154-167. doi:10.1309/AJCPIV2OG8TEGHHZ
- Fielder T, Watts F, Howden C, et al. Why choose a pathology career? Arch Pathol Lab Med. 2022;146:903-910. doi:10.5858/arpa.2021-0118-OA
- Metter DM, Colgan TJ, Leung ST, et al. Trends in the US and Canadian pathologist workforces from 2007 to 2017. JAMA Netw Open. 2019;2:e194337. doi:10.1001/jamanetworkopen.2019.4337
- Schulte B. Work interruptions can cost you 6 hours a day. An efficiency expert explains how to avoid them. The Washington Post. June 1, 2015. Accessed January 30, 2026. https://www.washingtonpost.com/news/inspired-life/wp/2015/06/01/interruptions-at-work-can-cost-you-up-to-6-hours-a-day-heres-how-to-avoid-them/
- Fiegl C. Medicare adopts new clinical consult billing codes. College of American Pathologists Today. December 2021. Accessed January 30, 2026. https://www.captodayonline.com/medicare-adopts-new-clinical-consult-billing-code
Precision oncology (PO) is cancer treatment individualized to the special characteristics of a patient’s tumor. It has become standard care for most patients with advanced cancer. Advances in molecular cell biology and immunology have identified numerous targets and many therapies have been developed as a result. Molecular testing and targeted therapy are typically covered by insurance, even when inflation-adjusted price growth is considered.1 Barriers remain, however, and pathologists are uniquely qualified to address some of the challenges.2
Most US laboratories do not perform molecular diagnostic tests for PO, particularly comprehensive evaluation of multiple targets by next-generation sequencing, or other techniques. Instead, these tests are sent to reference laboratories. The workload associated with referral testing is an obstacle to increased use of such tests. Despite guideline recommendations, a minority of indicated tests are performed.3 This is true even when testing costs are covered by clinical trials or grants, such as those in the Veterans Health Administration (VHA).
The main characteristic of successful PO programs is a multidisciplinary commitment, including pathology involvement in molecular tumor boards and assistance with test selection, tissue collection, and result interpretation.2 This, however, adds to the workload for the pathology department, an underappreciated phenomenon in the context of pathology workforce shortages.4
Workforce shortages impact all occupations in the laboratory setting. Though the shortage of medical technologists in clinical pathology laboratories has repeatedly been identified as critical at the VHA as well as in the private sector, the same cannot be said for staff shortages in anatomic pathology laboratories. Thus, the hospital laboratory divisions are concerned with biopsy or resection tissue specimens as opposed to the bodily fluid specimens that predominate in clinical laboratories.5 The lack of accurate data on histopathology technicians and technologists has precluded the degree of recognition seen for medical technologists. In labor statistics, these occupations are often obscured by inclusion with other jobs in broad categories such as medical and clinical laboratory technologists and technicians.6 Vacancy—the principal metric used to assess medical laboratory workforce shortage—fails to account for positions that are eventually eliminated after remaining vacant for prolonged periods, positions not replaced as a result of ambitious efficiency measures, or positions that were never created due to insufficient funding, reasons for administrative disapproval, or coverage by laboratory professionals working extra shifts or second jobs.7
Increased demand for pathologists is suggested by a 42% increase in workload per pathologist over the last decade, while a shortage is suggested by decreases in absolute and population-adjusted numbers of pathologists.8,9 An influx of pathologists is not an expected remedy due to the global decline in medical graduates pursuing careers in the field.8
Approximations for required labor and potential revenue generation are necessary to justify creation of pathology positions. This work mostly has gone uncaptured due to the limitations of Current Procedural Terminology (CPT) codes. Few laboratories have consistently used the 88363, 88325, and G0452 CPT codes. The pathology clinical consultation CPT codes (80503-80506) released in 2022 enhance acquisition of this work. The new codes replace 80500 and 80502 and allow for more precise identification of any work requiring medical judgment that a pathologist does at the request of another qualified health care professional (HCP) or as required by federal or state regulation.
The codes can be used to bill for associated time spent reviewing health records, communicating with other HCPs, placing orders, and documentation. An HCP can bill according to level of medical decision-making (MDM) or time spent by the consulting pathologist. Code 80503 can be billed for 5 to 20 minutes of a pathologist's time, 80504 for 21 to 40 minutes, 80505 for 41 to 60 minutes, and 80506 for each additional 30 minutes after the first hour. Levels of MDM (low, moderate, and high) are defined as for other evaluation and management services. A consultation report must be generated and contain documentation of the consultation request, pathologist interpretation, and justification for the level of service associated with the chosen code. Relative value units (RVUs) and reimbursement associated with each as well as other consultation-related codes are available in Table 1.

This article outlines how the pathology time investment associated with anatomic pathology molecular testing at the Kansas City Veterans Affairs Medical Center (KCVAMC) can be captured using the consultation process and new CPT codes. Staff included 4 pathologists, 3 histotechnologists, 1 histology supervisor, 1 grossing room technician, and 1 cytotechnologist, 1 cytology technician.
METHODS
The AP molecular testing consultation process at the KCVAMC was mapped, with the average time measured for each step (Figure). AP records for 2021 were reviewed to determine the number of AP molecular send out tests. Cumulative time investment was calculated in hours and a theoretical number of RVUs was calculated using the new pathology clinical consultation CPT codes (80503-80506). This theoretical number of RVUs was compared with the total AP RVUs generated in 2021 to determine a potential increase in RVUs with use of the new CPT codes to capture pathology work associated with AP molecular testing consultations.
RESULTS
From 2021 to 2023, there were 21,021 AP cases at the KCVAMC. Basal cell carcinomas and squamous cell carcinomas of the skin were excluded because they comprise most cancer cases but almost never necessitate AP molecular test consultations. A total of 2118 cancer cases were included, representing 10.1% of all cases. Ancillary AP molecular send-out tests were performed on 1338 (6.4%) cases. Since ancillary tissue tests are requested by consultation at the KCVAMC, this resulted in 1338 consultations (Table 2).

The time to complete a consultation was measured by calculating the mean time required to complete each step (Table 3). With in-house specimen consultations requiring 90 minutes each and outside specimen consultations requiring 100 minutes each, a total of 2040 hours of pathology staff time was necessary to complete associated consultations. Billing for this time with the new pathology clinical consultation CPT codes would generate 3847 RVUs, which would have equated to 14.8% (3847/25,920) of the anatomic pathology RVUs.

DISCUSSION
When considering the lengths of time for tasks associated with each consultation, it is important to remember that the volume (2-3 daily), was insufficient to meaningfully benefit from batching. Thus, waiting to perform a particular task until it was needed for multiple cases reduced the inefficiency associated with starting and switching between tasks. Both the Computerized Patient Record System and VistA had to be reopened, reauthenticated, and reloaded for each step that required use of the health record, printer, or fax machine. Faxes also required waiting for transmission and printed confirmation of successful transmission. As a result, the time values denoted for each step are likely underestimated, as the effect of interruptions is significant and not reflected in the estimates recorded.10
This analysis has demonstrated that PO entails a significant amount of work for pathology departments. To determine and maintain appropriate staffing models, this work must be captured and reimbursed. Unlike other pathology work, which is performed in-house and reimbursed for the associated test, a significant proportion of PO testing is sent out. Even if more reliable assays are developed, the physical processes of sending out samples and reporting test results cannot be outsourced. Independent and commensurate reimbursement methods are necessary to allow for this work and PO.
CMS included new pathology clinical consultation codes that may be used to bill for some of this work according to the 2022 physician fee schedule due to advocacy work by the College of American Pathologists and the American Medical Association CPT editorial panel.11
CONCLUSIONS
This analysis found that adoption of PO may present a significant amount of additional work for pathology departments. To determine and maintain appropriate staffing models, work completed by pathologists in this manner must be recorded and reimbursed. Pathologists need to be trained and encouraged to use these CPT codes and bill for the work described in this article. The increased revenue will allow for additional positions to alleviate the burdens imposed by understaffing so that pathology can function as a facilitator of PO rather than as a barrier to it.
Precision oncology (PO) is cancer treatment individualized to the special characteristics of a patient’s tumor. It has become standard care for most patients with advanced cancer. Advances in molecular cell biology and immunology have identified numerous targets and many therapies have been developed as a result. Molecular testing and targeted therapy are typically covered by insurance, even when inflation-adjusted price growth is considered.1 Barriers remain, however, and pathologists are uniquely qualified to address some of the challenges.2
Most US laboratories do not perform molecular diagnostic tests for PO, particularly comprehensive evaluation of multiple targets by next-generation sequencing, or other techniques. Instead, these tests are sent to reference laboratories. The workload associated with referral testing is an obstacle to increased use of such tests. Despite guideline recommendations, a minority of indicated tests are performed.3 This is true even when testing costs are covered by clinical trials or grants, such as those in the Veterans Health Administration (VHA).
The main characteristic of successful PO programs is a multidisciplinary commitment, including pathology involvement in molecular tumor boards and assistance with test selection, tissue collection, and result interpretation.2 This, however, adds to the workload for the pathology department, an underappreciated phenomenon in the context of pathology workforce shortages.4
Workforce shortages impact all occupations in the laboratory setting. Though the shortage of medical technologists in clinical pathology laboratories has repeatedly been identified as critical at the VHA as well as in the private sector, the same cannot be said for staff shortages in anatomic pathology laboratories. Thus, the hospital laboratory divisions are concerned with biopsy or resection tissue specimens as opposed to the bodily fluid specimens that predominate in clinical laboratories.5 The lack of accurate data on histopathology technicians and technologists has precluded the degree of recognition seen for medical technologists. In labor statistics, these occupations are often obscured by inclusion with other jobs in broad categories such as medical and clinical laboratory technologists and technicians.6 Vacancy—the principal metric used to assess medical laboratory workforce shortage—fails to account for positions that are eventually eliminated after remaining vacant for prolonged periods, positions not replaced as a result of ambitious efficiency measures, or positions that were never created due to insufficient funding, reasons for administrative disapproval, or coverage by laboratory professionals working extra shifts or second jobs.7
Increased demand for pathologists is suggested by a 42% increase in workload per pathologist over the last decade, while a shortage is suggested by decreases in absolute and population-adjusted numbers of pathologists.8,9 An influx of pathologists is not an expected remedy due to the global decline in medical graduates pursuing careers in the field.8
Approximations for required labor and potential revenue generation are necessary to justify creation of pathology positions. This work mostly has gone uncaptured due to the limitations of Current Procedural Terminology (CPT) codes. Few laboratories have consistently used the 88363, 88325, and G0452 CPT codes. The pathology clinical consultation CPT codes (80503-80506) released in 2022 enhance acquisition of this work. The new codes replace 80500 and 80502 and allow for more precise identification of any work requiring medical judgment that a pathologist does at the request of another qualified health care professional (HCP) or as required by federal or state regulation.
The codes can be used to bill for associated time spent reviewing health records, communicating with other HCPs, placing orders, and documentation. An HCP can bill according to level of medical decision-making (MDM) or time spent by the consulting pathologist. Code 80503 can be billed for 5 to 20 minutes of a pathologist's time, 80504 for 21 to 40 minutes, 80505 for 41 to 60 minutes, and 80506 for each additional 30 minutes after the first hour. Levels of MDM (low, moderate, and high) are defined as for other evaluation and management services. A consultation report must be generated and contain documentation of the consultation request, pathologist interpretation, and justification for the level of service associated with the chosen code. Relative value units (RVUs) and reimbursement associated with each as well as other consultation-related codes are available in Table 1.

This article outlines how the pathology time investment associated with anatomic pathology molecular testing at the Kansas City Veterans Affairs Medical Center (KCVAMC) can be captured using the consultation process and new CPT codes. Staff included 4 pathologists, 3 histotechnologists, 1 histology supervisor, 1 grossing room technician, and 1 cytotechnologist, 1 cytology technician.
METHODS
The AP molecular testing consultation process at the KCVAMC was mapped, with the average time measured for each step (Figure). AP records for 2021 were reviewed to determine the number of AP molecular send out tests. Cumulative time investment was calculated in hours and a theoretical number of RVUs was calculated using the new pathology clinical consultation CPT codes (80503-80506). This theoretical number of RVUs was compared with the total AP RVUs generated in 2021 to determine a potential increase in RVUs with use of the new CPT codes to capture pathology work associated with AP molecular testing consultations.
RESULTS
From 2021 to 2023, there were 21,021 AP cases at the KCVAMC. Basal cell carcinomas and squamous cell carcinomas of the skin were excluded because they comprise most cancer cases but almost never necessitate AP molecular test consultations. A total of 2118 cancer cases were included, representing 10.1% of all cases. Ancillary AP molecular send-out tests were performed on 1338 (6.4%) cases. Since ancillary tissue tests are requested by consultation at the KCVAMC, this resulted in 1338 consultations (Table 2).

The time to complete a consultation was measured by calculating the mean time required to complete each step (Table 3). With in-house specimen consultations requiring 90 minutes each and outside specimen consultations requiring 100 minutes each, a total of 2040 hours of pathology staff time was necessary to complete associated consultations. Billing for this time with the new pathology clinical consultation CPT codes would generate 3847 RVUs, which would have equated to 14.8% (3847/25,920) of the anatomic pathology RVUs.

DISCUSSION
When considering the lengths of time for tasks associated with each consultation, it is important to remember that the volume (2-3 daily), was insufficient to meaningfully benefit from batching. Thus, waiting to perform a particular task until it was needed for multiple cases reduced the inefficiency associated with starting and switching between tasks. Both the Computerized Patient Record System and VistA had to be reopened, reauthenticated, and reloaded for each step that required use of the health record, printer, or fax machine. Faxes also required waiting for transmission and printed confirmation of successful transmission. As a result, the time values denoted for each step are likely underestimated, as the effect of interruptions is significant and not reflected in the estimates recorded.10
This analysis has demonstrated that PO entails a significant amount of work for pathology departments. To determine and maintain appropriate staffing models, this work must be captured and reimbursed. Unlike other pathology work, which is performed in-house and reimbursed for the associated test, a significant proportion of PO testing is sent out. Even if more reliable assays are developed, the physical processes of sending out samples and reporting test results cannot be outsourced. Independent and commensurate reimbursement methods are necessary to allow for this work and PO.
CMS included new pathology clinical consultation codes that may be used to bill for some of this work according to the 2022 physician fee schedule due to advocacy work by the College of American Pathologists and the American Medical Association CPT editorial panel.11
CONCLUSIONS
This analysis found that adoption of PO may present a significant amount of additional work for pathology departments. To determine and maintain appropriate staffing models, work completed by pathologists in this manner must be recorded and reimbursed. Pathologists need to be trained and encouraged to use these CPT codes and bill for the work described in this article. The increased revenue will allow for additional positions to alleviate the burdens imposed by understaffing so that pathology can function as a facilitator of PO rather than as a barrier to it.
- Wilson LE, Greiner MA, Altomare I, et al. Rapid rise in the cost of targeted cancer therapies for Medicare patients with solid tumors from 2006 to 2015. J Geriatr Oncol. 2021;12:375-380. doi:10.1016/j.jgo.2020.11.007
- Ersek JL, Black LJ, Thompson MA, et al. Implementing precision medicine programs and clinical trials in the community-based oncology practice: barriers and best practices. Am Soc Clin Oncol Educ Book. 2018;38:188-196. doi:10.1200/EDBK_200633
- Inal C, Yilmaz E, Cheng H, et al. Effect of reflex testing by pathologists on molecular testing rates in lung cancer patients: experience from a community-based academic center. J Clin Oncol. 2014;32:8098. doi:10.1200/jco.2014.32.15_suppl.8098
- Robboy SJ, Gupta S, Crawford JM, et al. The pathologist workforce in the United States: II. an interactive modeling tool for analyzing future qualitative and quantitative staffing demands for services. Arch Pathol Lab Med. 2015;139:1413-1430. doi:10.5858/arpa.2014-0559-OA
- OIG determination of Veterans Health Administration’s occupational staffing shortages fiscal year 2021. Department of Veterans Affairs OIG. September 28, 2021. Accessed January 30, 2026. https://www.oversight.gov/report/VA/OIG-determination-veterans-health-administrations-occupational-staffing-shortages-fiscal
- Zanto S, Cremeans L, Deutsch-Keahey D, et al. Addressing the clinical laboratory workforce shortage. The American Society for Clinical Laboratory Science. July 2, 2020. Accessed January 30, 2026. https://ascls.org/addressing-the-clinical-laboratory-workforce-shortage/
- Bennett A, Garcia E, Schulze M, et al. Building a laboratory workforce to meet the future: ASCP Task Force on the Laboratory Professionals Workforce. Am J Clin Pathol. 2014;141:154-167. doi:10.1309/AJCPIV2OG8TEGHHZ
- Fielder T, Watts F, Howden C, et al. Why choose a pathology career? Arch Pathol Lab Med. 2022;146:903-910. doi:10.5858/arpa.2021-0118-OA
- Metter DM, Colgan TJ, Leung ST, et al. Trends in the US and Canadian pathologist workforces from 2007 to 2017. JAMA Netw Open. 2019;2:e194337. doi:10.1001/jamanetworkopen.2019.4337
- Schulte B. Work interruptions can cost you 6 hours a day. An efficiency expert explains how to avoid them. The Washington Post. June 1, 2015. Accessed January 30, 2026. https://www.washingtonpost.com/news/inspired-life/wp/2015/06/01/interruptions-at-work-can-cost-you-up-to-6-hours-a-day-heres-how-to-avoid-them/
- Fiegl C. Medicare adopts new clinical consult billing codes. College of American Pathologists Today. December 2021. Accessed January 30, 2026. https://www.captodayonline.com/medicare-adopts-new-clinical-consult-billing-code
- Wilson LE, Greiner MA, Altomare I, et al. Rapid rise in the cost of targeted cancer therapies for Medicare patients with solid tumors from 2006 to 2015. J Geriatr Oncol. 2021;12:375-380. doi:10.1016/j.jgo.2020.11.007
- Ersek JL, Black LJ, Thompson MA, et al. Implementing precision medicine programs and clinical trials in the community-based oncology practice: barriers and best practices. Am Soc Clin Oncol Educ Book. 2018;38:188-196. doi:10.1200/EDBK_200633
- Inal C, Yilmaz E, Cheng H, et al. Effect of reflex testing by pathologists on molecular testing rates in lung cancer patients: experience from a community-based academic center. J Clin Oncol. 2014;32:8098. doi:10.1200/jco.2014.32.15_suppl.8098
- Robboy SJ, Gupta S, Crawford JM, et al. The pathologist workforce in the United States: II. an interactive modeling tool for analyzing future qualitative and quantitative staffing demands for services. Arch Pathol Lab Med. 2015;139:1413-1430. doi:10.5858/arpa.2014-0559-OA
- OIG determination of Veterans Health Administration’s occupational staffing shortages fiscal year 2021. Department of Veterans Affairs OIG. September 28, 2021. Accessed January 30, 2026. https://www.oversight.gov/report/VA/OIG-determination-veterans-health-administrations-occupational-staffing-shortages-fiscal
- Zanto S, Cremeans L, Deutsch-Keahey D, et al. Addressing the clinical laboratory workforce shortage. The American Society for Clinical Laboratory Science. July 2, 2020. Accessed January 30, 2026. https://ascls.org/addressing-the-clinical-laboratory-workforce-shortage/
- Bennett A, Garcia E, Schulze M, et al. Building a laboratory workforce to meet the future: ASCP Task Force on the Laboratory Professionals Workforce. Am J Clin Pathol. 2014;141:154-167. doi:10.1309/AJCPIV2OG8TEGHHZ
- Fielder T, Watts F, Howden C, et al. Why choose a pathology career? Arch Pathol Lab Med. 2022;146:903-910. doi:10.5858/arpa.2021-0118-OA
- Metter DM, Colgan TJ, Leung ST, et al. Trends in the US and Canadian pathologist workforces from 2007 to 2017. JAMA Netw Open. 2019;2:e194337. doi:10.1001/jamanetworkopen.2019.4337
- Schulte B. Work interruptions can cost you 6 hours a day. An efficiency expert explains how to avoid them. The Washington Post. June 1, 2015. Accessed January 30, 2026. https://www.washingtonpost.com/news/inspired-life/wp/2015/06/01/interruptions-at-work-can-cost-you-up-to-6-hours-a-day-heres-how-to-avoid-them/
- Fiegl C. Medicare adopts new clinical consult billing codes. College of American Pathologists Today. December 2021. Accessed January 30, 2026. https://www.captodayonline.com/medicare-adopts-new-clinical-consult-billing-code
Capturing Pathology Workload Associated With Precision Oncology
Capturing Pathology Workload Associated With Precision Oncology
Investigating Real-World Tolerance and Dose Reductions of Oncology Multikinase Inhibitors in a VA Population
Investigating Real-World Tolerance and Dose Reductions of Oncology Multikinase Inhibitors in a VA Population
The US Department of Veterans Affairs (VA) annually treats around 450,000 veterans with cancer and diagnoses an additional 56,000.1,2 Oral multikinase inhibitors (MKIs) are widely used as targeted therapies for many different malignancies. Despite the ease of oral administration, these agents are often accompanied by significant adverse effects (AEs) and drug-drug interactions.3,4 Common AEs include hypertension, cutaneous reactions, gastrointestinal disturbances, proteinuria, and fatigue. Some serious outcomes that may occur are myocardial infarction, thrombosis, nephrotic syndrome, hemorrhage, hepatotoxicity, and gastrointestinal events.5,6 Due to poor tolerability of these AEs, dose reductions, frequent therapy holds, and discontinuation of therapy may occur.
The US Food and Drug Administration recognizes dosing challenges with novel therapies and has created the Oncology Center of Excellence (OCE) Project Optimus initiative to reform dose optimization in oncology drug development. The initiative aims to shift the focus from establishing dose regimens based on the maximum tolerated doses of cytotoxic chemotherapeutics to an emphasis on maximum efficacy, safety, and tolerability, which better reflect real-world dosing.7,8
MKIs can be challenging to manage because of the frequent toxicity-related dose reductions, interruptions, and discontinuations. In a multicenter retrospective study, Schnadig et al investigated dosing characteristics of first-line sunitinib for advanced renal cell carcinoma (RCC) and found that, among 114 patients who experienced AEs while taking sunitinib, 39.5% had dose reductions, 5.3% delayed therapy, 18.4% required additional supportive medications, and 22.8% discontinued sunitinib.9 Overall survival and median progression-free survival of these patients were lower than reported by Motzer et al in a phase 3 clinical trial.10 Schnadig et al concluded that patients treated with sunitinib for RCC in the community setting required more frequent dose reductions and had less time on therapy compared with patients in clinical trials, which ultimately impacted clinical outcomes.9
At the VA North Texas Health Care System (VANTHCS), patients with cancer have difficulty tolerating MKIs and often require dose alterations and/or discontinuation because of drug intolerance rather than discontinuation due to progression. Frequent dose adjustments for toxicity management can place more strain on patients and health care resources because of additional appointments, clinician time, and emergency department visits. Escalating drug costs can also cause concern when prescription doses are unused or changed frequently.
To capture and quantify prescribing practices and dose adjustments, this study evaluated the tolerability of MKIs at VANTHCS. This analysis may also guide clinicians in the selection of starting doses as well as dose titration expectations to optimize MKI therapy.
METHODS
This single-center, retrospective chart review analyzed patients receiving oral oncology MKIs for various malignancies at VANTHCS between January 1, 2014, and October 31, 2024. Participants included adults aged ≥ 18 years with a prescription for axitinib, cabozantinib, lenvatinib, pazopanib, regorafenib, sorafenib, or sunitinib initiated by the hematology/oncology service at VANTHCS. Patients were included if they had follow-up documentation with the hematology/oncology service and/or other VANTHCS clinicians outlining their course of therapy after MKI initiation. Patients were excluded if they did not have sufficient follow-up documentation (eg, transferred care to a non-VA health care practitioner [HCP], moved to another VA health care system), were enrolled in clinical trials, or were prescribed an MKI from a Care in the Community (CITC) prescriber. Electronic health record review and data collection were performed using the VA Computerized Patient Record System and Research Electronic Data Capture. Data were collected from the time of initiation to cessation of therapy and included information regarding therapy changes, progressive disease, and date of death, when available. Data collected included age, sex, race, comorbidities, date of death, type of malignancy and subtypes, cancer stage, MKI used (ie, drug, dose, frequency, schedule, and indication), dates of medication changes (ie, start, adjustment, hold, discontinuation), concurrent antineoplastic treatments, and AEs documented at times of dose change or interruption.
The primary outcome was MKI tolerance determined using relative dose intensity (RDI) and mean and median time on therapy. Two methods are used to calculate RDI that vary in how they approach time on therapy as outlined in Hawn et al.11 This study used method 2, which accounts for holds in therapy by comparing the actual duration of treatment with the duration expected according to treatment protocol. Method 1 compares the prescribed dose with the administered dose and does not adjust for holds.11 Using method 2, the RDI in this study was calculated by dividing the total actual dose given by the total indicated dose for the malignancy being treated, which accounts for duration of treatment.

The total actual dose was the strength, frequency, and days on therapy for each time frame of treatment multiplied together. This method accounted for all dose adjustments and time periods of treatment holds, including patient self-adjustments, prescriber-directed adjustments, and nonadherence determined by HCP documentation and/or prescription data. Similarly, the indicated total dose was calculated by multiplying the indicated strength, frequency, and all days that treatment should have occurred (time from start to finish). Indicated doses were derived from the prescribing information for each malignancy with the exception of sunitinib, for which the off-label dose of 37.5 mg daily was considered a full dose.12,13 The total indicated dose for axitinib was calculated by considering the dose escalation schedule from the prescribing information.
Patients who required dose reductions due to renal/hepatic impairments or drug-drug interactions had their total indicated dose calculated using dose adjustments listed in the prescribing information. The mean RDI for each MKI agent was calculated by averaging the RDI for each prescription. The overall combined mean RDI included the means of all the MKIs reviewed to avoid skewing the results toward an MKI with more prescriptions. RDIs were also calculated for each cancer type for each agent. Additional descriptive secondary outcomes included rates of AEs and adjustments in doses.
RESULTS
Electronic data extraction identified 278 patients with 366 MKI prescriptions, of which 108 veterans with 158 MKI prescriptions were excluded. The top reason for exclusion was patients managed through CITC. Ultimately, 170 veterans with 208 MKI prescriptions managed by the VANTHCS hematology/oncology clinic were included (Table 1). Among patients receiving MKIs, the mean age was 72.7 years, 98% were male, and 99% had metastatic disease.

The overall combined mean MKI RDI was 67.5% using method 2 and ranged from 85.5% for sunitinib to 49.0% for sorafenib (Figure 1). Additional information regarding mean and median RDIs using method 2 is shown in Figure 1 and further subdivided by cancer type in Table 2. Median RDIs overall were similar to mean RDIs for most agents. Figure 2 indicates the mean and median time on therapy, reflecting time on therapy excluding days therapy was held. The overall combined mean and median days on therapy for all MKIs were 155 days and 95 days, respectively. Mean time on therapy depended on the agent used and ranged from 35 days (regorafenib) to 237 days (cabozantinib).

Of 208 MKI prescriptions, 127 (61.1%) were initiated at a reduced dose due to baseline concerns for tolerance such as performance status, frailty, and prior intolerance of other treatments. Eighty-one prescriptions (38.9%) were initiated at their indicated doses. Ninety prescriptions (43.3%) required dose reductions during treatment. Some MKI prescriptions had multiple dose increases and decreases, which is why RDI more accurately reflects dose adjustments. A total of 376 AEs that contributed to a dose adjustment, hold, or discontinuation occurred across all MKI prescriptions. The most common AEs were 82 failure-to-thrive events (21.8%) (fatigue, malaise, loss of appetite, reduced mobility, global decline), 79 gastrointestinal events (21.0%) (nausea, vomiting, diarrhea, abdominal pain), 62 dermatologic events (16.5%) (rash, hand-foot skin reactions, allergic response), 61 hepatic dysfunction events (16.2%) (liver enzyme elevations, hyperbilirubinemia), 40 cardiovascular events (10.6%) (hypertension, heart failure exacerbations, edema), and 33 renal dysfunction events (8.8%) (acute kidney injury, proteinuria) (Appendix 1).

DISCUSSION
The mean RDI of MKI prescriptions used in the veteran population at VANTHCS was about two-thirds of the indicated dose. These results indicate that most veterans required dose reductions and/or holds due to concerns over initial tolerance/performance status, worsening clinical condition, and/or intolerable AEs attributed to treatment. A retrospective study conducted by Denduluri et al suggested that an RDI of < 85% is a clinically meaningful reduction for traditional chemotherapy based on previous literature.14 However, it is less clear what RDI should be expected specifically for MKIs in real-world populations. The MKI phase 3 approval trials in RCC for axitinib, lenvatinib, and sunitinib found median RDIs of 89.4%, 69.6% to 70.4%, and 83.9%, respectively. Each trial cited dose reductions most commonly as the result of treatment-related AEs.15,16
Studies on the impact of RDIs on survival outcomes found that higher RDIs may improve overall and progression-free survival. Retrospective studies inspecting lenvatinib in hepatocellular carcinoma (HCC) indicated that an RDI > 70% in the initial 4 weeks resulted in favorable survival outcomes.17 Similarly, a retrospective study investigating sunitinib in RCC found that an RDI > 60% conferred favorable survival outcomes.18 Alghamdi et al noted that patients taking sorafenib for HCC who had RDI > 50% had a favorable trend in survival characteristics. Interestingly, the study found an RDI of 50% to 75% appeared to have better survival than an RDI > 75%.19 The authors of these studies hypothesized that additional dose reductions allowed for longer total time on therapy due to improved tolerability.17-19
This analysis found that the RDIs for most MKI agents at VANTHCS were < 85% and lower than the RDIs found in other review articles and phase 3 trials, with the exceptions of pazopanib in thyroid cancer and sunitinib in gastrointestinal stromal tumor (GIST), thyroid cancer, and neuroendocrine cancer. The reasons for the lower RDIs in this study are likely multifactorial, reflecting patient population characteristics, off-label dosing practices, and HCP experiences with these agents. Many veterans have chronic comorbidities that could contribute to reduced performance status and ability to tolerate these therapies. Despite attempts to preemptively reduce doses for patients and account for potential impaired tolerance, there were patients who required further dose reductions in our study.
Failure to thrive was the most common AE leading to dose adjustment or discontinuation, which illustrates the extensive effects these agents have on patient functioning in a real-world population. Notably though, the RDI for sunitinib was higher in this population because about half of patients were dosed using the off-label recommendation, whereas the prescribing information recommends a more intensive 6-week dosing cycle for certain cancer types.12,13,20 Sorafenib was also often dose-adjusted based on a pharmacokinetic study of sorafenib in renal/hepatic dysfunction, and the RDI likely reflects the off-label prescribing pattern.21
Patients with thyroid cancer were found to have higher RDIs compared with those receiving the same agents for other cancer types. Improved tolerability of MKIs in thyroid cancer may be due to a generally more tolerable disease course. Thyroid cancer is the most common cancer in individuals aged < 40 years, a population that is often more robust with fewer comorbidities. Moreover, the 5-year relative survival rate for thyroid cancer remains > 98%.22 This rate is in contrast to those for other cancer types such as HCC, with a 5-year relative survival rate of only 15%.23
It is challenging to compare the mean and median times on therapy found in this study with those in current literature, as this review included multiple different cancer types for each agent. However, the numbers are generally lower than durations of therapy found across the different disease states and further emphasize the difficulty in tolerating MKIs in the VANTHCS population. Regorafenib had a short duration of time on therapy, which highlights the importance of trials like ReDOS and initiatives such as OCE Project Optimus in helping improve tolerance.7,8,24
Comparing our results with other studies proved challenging because the RDI calculation methods were not specified. Calculating RDIs in this study using method 1, which does not account for holds, resulted in higher RDIs (Appendix 2). Using method 1, all MKIs had RDIs < 85%, except for pazopanib in thyroid cancer (100%) and RCC (87.9%), and sunitinib in GIST (93.6%), thyroid cancer (100%), and neuroendocrine cancer (93.7%). Notably, using method 1 increased the RDI for pazopanib in neuroendocrine cancer from 5.4% to 50.0%. The low RDI was attributed to a single veteran with a long hold duration, which demonstrates the discrepancy that can occur between the 2 methods.

Limitations
The retrospective design, lack of survival outcomes, and difficulty comparing results with other literature were limitations of this study. Because survival outcomes were not evaluated, future research should seek to investigate how RDIs and dose adjustments made among MKIs can affect survival outcomes in real-world populations. This veteran population with cancer often had multiple chronic comorbidities, which may have contributed to difficulty tolerating MKIs and could have impacted results. Disease-related factors may have influenced the poor tolerance of the MKIs and were not specifically accounted for. Adjustment for comorbidities was not possible because of discrepancies and/or incomplete diagnosis codes and Eastern Cooperative Oncology Group performance status scores documented in patient charts. Therefore, we decided not to report these findings due to potential inaccuracies.
CONCLUSIONS
Results of this study demonstrate that oncology MKI agents used at VANTHCS were difficult for patients to tolerate, leading to suboptimal dosing compared with indicated doses established in clinical trials and prescribing information. Clinicians may use these data to help guide clinical decision-making whenever initiating and managing MKI agents in this population. These findings reinforce that MKI agents are often difficult to tolerate in real-world practice, and indicated doses are often not achieved. Further studies should aim to investigate the effect that various RDIs have on overall survival. Further investigation into different dosing schemes for MKIs to improve tolerability and longer-term use may also prove beneficial.
This analysis may help guide clinicians to carefully approach dosing MKI agents in the veteran population. Given the RDI and AEs, more clinicians may consider starting at lower than indicated doses with the goal to titrate up as tolerated. Additionally, the results highlight the importance of considering palliative care consults and ensuring appropriate supportive care agents are preemptively engaged and adjusted as needed. Approaching dosing and titrations cautiously may help reduce the burden of management on the health care system.
- Frequently asked questions. VA National Oncology Program. 2025. Accessed December 15, 2025. https://www.cancer.va.gov/CANCER/faqs.html
- Torez L. Reigniting the cancer moonshot to beat cancer. VA News. April 20, 2023. Accessed April 6, 2026. https://news.va.gov/118378/reigniting-the-cancer-moonshot-to-beat-cancer
- Shah NN, Casella E, Capozzi D, et al. Improving the safety of oral chemotherapy at an academic medical center. J Oncol Pract. 2016;12:e71-e76. doi:10.1200/JOP.2015.007260
- Hussaarts KGAM, Veerman GDM, Jansman FGA, et al. Clinically relevant drug interactions with multikinase inhibitors: a review. Ther Adv Med Oncol. 2019;11:1758835918818347. doi:10.1177/1758835918818347
- Shyam Sunder S, Sharma UC, Pokharel S. Adverse effects of tyrosine kinase inhibitors in cancer therapy: pathophysiology, mechanisms and clinical management. Signal Transduct Target Ther. 2023;8:262. doi:10.1038/s41392-023-01469-6
- Thomson RJ, Moshirfar M, Ronquillo Y. Tyrosine kinase inhibitors. In: StatPearls [Internet]. StatPearls Publishing; updated July 18, 2023. Accessed December 15, 2025. https://www.ncbi.nlm.nih.gov/books/NBK563322/
- Project Optimus. US Food and Drug Administration. Updated December 6, 2024. Accessed December 15, 2025. https://www.fda.gov/about-fda/oncology-center-excellence/project-optimus
- Optimizing the dosage of human prescription drugs and biological products for the treatment of oncologic diseases: Guidance for Industry. Docket number FDA-2022-D-2827. US Food and Drug Administration. August 2024. Accessed December 15, 2025. https://www.fda.gov/regulatory-information/search-fda-guidance-documents/optimizing-dosage-human-prescription-drugs-and-biological-products-treatment-oncologic-diseases
- Schnadig ID, Hutson TE, Chung H, et al. Dosing patterns, toxicity, and outcomes in patients treated with first-line sunitinib for advanced renal cell carcinoma in community-based practices. Clin Genitourin Cancer. 2014;12:413-421. doi:10.1016/j.clgc.2014.06.015
- Motzer RJ, Hutson TE, Tomczak P, et al. Sunitinib versus interferon alfa in metastatic renal-cell carcinoma. N Engl J Med. 2007;356:115-124. doi:10.1056/nejmoa065044
- Hawn C, Bansal D. Relative dose intensity in oncology trials: a discussion of two approaches. PharmaSUG. 2024. Accessed April 6, 2026. https://pharmasug.org/proceedings/2024/ST/PharmaSUG-2024-ST-297.pdf
- George S, Merriam P, Maki RG, et al. Multicenter phase II trial of sunitinib in the treatment of nongastrointestinal stromal tumor sarcomas. J Clin Oncol. 2009;27:3154-3160. doi:10.1200/jco.2008.20.9890
- George S, Blay JY, Casali PG, et al. Clinical evaluation of continuous daily dosing of sunitinib malate in patients with advanced gastrointestinal stromal tumour after imatinib failure. Eur J Cancer. 2009;45:1959-1968. doi:10.1016/j.ejca.2009.02.011
- Denduluri N, Patt DA, Wang Y, et al. Dose delays, dose reductions, and relative dose intensity in patients with cancer who received adjuvant or neoadjuvant chemotherapy in community oncology practices. J Natl Compr Canc Netw. 2015;13:1383-1393. doi:10.6004/jnccn.2015.0166
- Motzer RJ, Penkov K, Haanen J, et al. Avelumab plus axitinib versus sunitinib for advanced renal-cell carcinoma. N Engl J Med. 2019;380:1103-1115. doi:10.1056/nejmoa1816047
- Motzer R, Alekseev B, Rha SY, et al. Lenvatinib plus pembrolizumab or everolimus for advanced renal cell carcinoma. N Engl J Med. 2021;384:1289-1300. doi:10.1056/nejmoa2035716
- Kirino S, Tsuchiya K, Kurosaki M, et al. Relative dose intensity over the first four weeks of lenvatinib therapy is a factor of favorable response and overall survival in patients with unresectable hepatocellular carcinoma. PloS One. 2020;15:e0231828. doi:10.1371/journal.pone.0231828
- Ishihara H, Takagi T, Kondo T, et al. Decreased relative dose intensity during the early phase of treatment impacts the therapeutic efficacy of sunitinib in metastatic renal cell carcinoma. Jpn J Clin Oncol. 2018;48:667-672. doi:10.1093/jjco/hyy078
- Alghamdi MA, Amaro CP, Lee-Ying R, et al. Effect of sorafenib starting dose and dose intensity on survival in patients with hepatocellular carcinoma: results from a Canadian Multicenter Database. Cancer Med. 2020;9:4918-4928. doi:10.1002/cam4.3228
- Motzer RJ, Rini BI, Bukowski RM, et al. Sunitinib in patients with metastatic renal cell carcinoma. JAMA. 2006;295:2516-2524. doi:10.1001/jama.295.21.2516
- Miller AA, Murry DJ, Owzar K, et al. Phase I and pharmacokinetic study of sorafenib in patients with hepatic or renal dysfunction: CALGB 60301. J Clin Oncol. 2009;27:1800-1805. doi:10.1200/jco.2008.20.0931
- Boucai L, Zafereo M, Cabanillas ME. Thyroid cancer: a review. JAMA. 2024;331:425-435. doi:10.1001/jama.2023.26348
- Amin N, Anwar J, Sulaiman A, et al. Hepatocellular carcinoma: a comprehensive review. Diseases. 2025;13:207. doi:10.3390/diseases13070207
- Bekaii-Saab TS, Ou FS, Ahn DH, et al. Regorafenib dose-optimisation in patients with refractory metastatic colorectal cancer (ReDOS): a randomised, multicentre, open-label, phase 2 study. Lancet Oncol. 2019;20:1070-1082. doi:10.1016/s1470-2045(19)30272-4
The US Department of Veterans Affairs (VA) annually treats around 450,000 veterans with cancer and diagnoses an additional 56,000.1,2 Oral multikinase inhibitors (MKIs) are widely used as targeted therapies for many different malignancies. Despite the ease of oral administration, these agents are often accompanied by significant adverse effects (AEs) and drug-drug interactions.3,4 Common AEs include hypertension, cutaneous reactions, gastrointestinal disturbances, proteinuria, and fatigue. Some serious outcomes that may occur are myocardial infarction, thrombosis, nephrotic syndrome, hemorrhage, hepatotoxicity, and gastrointestinal events.5,6 Due to poor tolerability of these AEs, dose reductions, frequent therapy holds, and discontinuation of therapy may occur.
The US Food and Drug Administration recognizes dosing challenges with novel therapies and has created the Oncology Center of Excellence (OCE) Project Optimus initiative to reform dose optimization in oncology drug development. The initiative aims to shift the focus from establishing dose regimens based on the maximum tolerated doses of cytotoxic chemotherapeutics to an emphasis on maximum efficacy, safety, and tolerability, which better reflect real-world dosing.7,8
MKIs can be challenging to manage because of the frequent toxicity-related dose reductions, interruptions, and discontinuations. In a multicenter retrospective study, Schnadig et al investigated dosing characteristics of first-line sunitinib for advanced renal cell carcinoma (RCC) and found that, among 114 patients who experienced AEs while taking sunitinib, 39.5% had dose reductions, 5.3% delayed therapy, 18.4% required additional supportive medications, and 22.8% discontinued sunitinib.9 Overall survival and median progression-free survival of these patients were lower than reported by Motzer et al in a phase 3 clinical trial.10 Schnadig et al concluded that patients treated with sunitinib for RCC in the community setting required more frequent dose reductions and had less time on therapy compared with patients in clinical trials, which ultimately impacted clinical outcomes.9
At the VA North Texas Health Care System (VANTHCS), patients with cancer have difficulty tolerating MKIs and often require dose alterations and/or discontinuation because of drug intolerance rather than discontinuation due to progression. Frequent dose adjustments for toxicity management can place more strain on patients and health care resources because of additional appointments, clinician time, and emergency department visits. Escalating drug costs can also cause concern when prescription doses are unused or changed frequently.
To capture and quantify prescribing practices and dose adjustments, this study evaluated the tolerability of MKIs at VANTHCS. This analysis may also guide clinicians in the selection of starting doses as well as dose titration expectations to optimize MKI therapy.
METHODS
This single-center, retrospective chart review analyzed patients receiving oral oncology MKIs for various malignancies at VANTHCS between January 1, 2014, and October 31, 2024. Participants included adults aged ≥ 18 years with a prescription for axitinib, cabozantinib, lenvatinib, pazopanib, regorafenib, sorafenib, or sunitinib initiated by the hematology/oncology service at VANTHCS. Patients were included if they had follow-up documentation with the hematology/oncology service and/or other VANTHCS clinicians outlining their course of therapy after MKI initiation. Patients were excluded if they did not have sufficient follow-up documentation (eg, transferred care to a non-VA health care practitioner [HCP], moved to another VA health care system), were enrolled in clinical trials, or were prescribed an MKI from a Care in the Community (CITC) prescriber. Electronic health record review and data collection were performed using the VA Computerized Patient Record System and Research Electronic Data Capture. Data were collected from the time of initiation to cessation of therapy and included information regarding therapy changes, progressive disease, and date of death, when available. Data collected included age, sex, race, comorbidities, date of death, type of malignancy and subtypes, cancer stage, MKI used (ie, drug, dose, frequency, schedule, and indication), dates of medication changes (ie, start, adjustment, hold, discontinuation), concurrent antineoplastic treatments, and AEs documented at times of dose change or interruption.
The primary outcome was MKI tolerance determined using relative dose intensity (RDI) and mean and median time on therapy. Two methods are used to calculate RDI that vary in how they approach time on therapy as outlined in Hawn et al.11 This study used method 2, which accounts for holds in therapy by comparing the actual duration of treatment with the duration expected according to treatment protocol. Method 1 compares the prescribed dose with the administered dose and does not adjust for holds.11 Using method 2, the RDI in this study was calculated by dividing the total actual dose given by the total indicated dose for the malignancy being treated, which accounts for duration of treatment.

The total actual dose was the strength, frequency, and days on therapy for each time frame of treatment multiplied together. This method accounted for all dose adjustments and time periods of treatment holds, including patient self-adjustments, prescriber-directed adjustments, and nonadherence determined by HCP documentation and/or prescription data. Similarly, the indicated total dose was calculated by multiplying the indicated strength, frequency, and all days that treatment should have occurred (time from start to finish). Indicated doses were derived from the prescribing information for each malignancy with the exception of sunitinib, for which the off-label dose of 37.5 mg daily was considered a full dose.12,13 The total indicated dose for axitinib was calculated by considering the dose escalation schedule from the prescribing information.
Patients who required dose reductions due to renal/hepatic impairments or drug-drug interactions had their total indicated dose calculated using dose adjustments listed in the prescribing information. The mean RDI for each MKI agent was calculated by averaging the RDI for each prescription. The overall combined mean RDI included the means of all the MKIs reviewed to avoid skewing the results toward an MKI with more prescriptions. RDIs were also calculated for each cancer type for each agent. Additional descriptive secondary outcomes included rates of AEs and adjustments in doses.
RESULTS
Electronic data extraction identified 278 patients with 366 MKI prescriptions, of which 108 veterans with 158 MKI prescriptions were excluded. The top reason for exclusion was patients managed through CITC. Ultimately, 170 veterans with 208 MKI prescriptions managed by the VANTHCS hematology/oncology clinic were included (Table 1). Among patients receiving MKIs, the mean age was 72.7 years, 98% were male, and 99% had metastatic disease.

The overall combined mean MKI RDI was 67.5% using method 2 and ranged from 85.5% for sunitinib to 49.0% for sorafenib (Figure 1). Additional information regarding mean and median RDIs using method 2 is shown in Figure 1 and further subdivided by cancer type in Table 2. Median RDIs overall were similar to mean RDIs for most agents. Figure 2 indicates the mean and median time on therapy, reflecting time on therapy excluding days therapy was held. The overall combined mean and median days on therapy for all MKIs were 155 days and 95 days, respectively. Mean time on therapy depended on the agent used and ranged from 35 days (regorafenib) to 237 days (cabozantinib).

Of 208 MKI prescriptions, 127 (61.1%) were initiated at a reduced dose due to baseline concerns for tolerance such as performance status, frailty, and prior intolerance of other treatments. Eighty-one prescriptions (38.9%) were initiated at their indicated doses. Ninety prescriptions (43.3%) required dose reductions during treatment. Some MKI prescriptions had multiple dose increases and decreases, which is why RDI more accurately reflects dose adjustments. A total of 376 AEs that contributed to a dose adjustment, hold, or discontinuation occurred across all MKI prescriptions. The most common AEs were 82 failure-to-thrive events (21.8%) (fatigue, malaise, loss of appetite, reduced mobility, global decline), 79 gastrointestinal events (21.0%) (nausea, vomiting, diarrhea, abdominal pain), 62 dermatologic events (16.5%) (rash, hand-foot skin reactions, allergic response), 61 hepatic dysfunction events (16.2%) (liver enzyme elevations, hyperbilirubinemia), 40 cardiovascular events (10.6%) (hypertension, heart failure exacerbations, edema), and 33 renal dysfunction events (8.8%) (acute kidney injury, proteinuria) (Appendix 1).

DISCUSSION
The mean RDI of MKI prescriptions used in the veteran population at VANTHCS was about two-thirds of the indicated dose. These results indicate that most veterans required dose reductions and/or holds due to concerns over initial tolerance/performance status, worsening clinical condition, and/or intolerable AEs attributed to treatment. A retrospective study conducted by Denduluri et al suggested that an RDI of < 85% is a clinically meaningful reduction for traditional chemotherapy based on previous literature.14 However, it is less clear what RDI should be expected specifically for MKIs in real-world populations. The MKI phase 3 approval trials in RCC for axitinib, lenvatinib, and sunitinib found median RDIs of 89.4%, 69.6% to 70.4%, and 83.9%, respectively. Each trial cited dose reductions most commonly as the result of treatment-related AEs.15,16
Studies on the impact of RDIs on survival outcomes found that higher RDIs may improve overall and progression-free survival. Retrospective studies inspecting lenvatinib in hepatocellular carcinoma (HCC) indicated that an RDI > 70% in the initial 4 weeks resulted in favorable survival outcomes.17 Similarly, a retrospective study investigating sunitinib in RCC found that an RDI > 60% conferred favorable survival outcomes.18 Alghamdi et al noted that patients taking sorafenib for HCC who had RDI > 50% had a favorable trend in survival characteristics. Interestingly, the study found an RDI of 50% to 75% appeared to have better survival than an RDI > 75%.19 The authors of these studies hypothesized that additional dose reductions allowed for longer total time on therapy due to improved tolerability.17-19
This analysis found that the RDIs for most MKI agents at VANTHCS were < 85% and lower than the RDIs found in other review articles and phase 3 trials, with the exceptions of pazopanib in thyroid cancer and sunitinib in gastrointestinal stromal tumor (GIST), thyroid cancer, and neuroendocrine cancer. The reasons for the lower RDIs in this study are likely multifactorial, reflecting patient population characteristics, off-label dosing practices, and HCP experiences with these agents. Many veterans have chronic comorbidities that could contribute to reduced performance status and ability to tolerate these therapies. Despite attempts to preemptively reduce doses for patients and account for potential impaired tolerance, there were patients who required further dose reductions in our study.
Failure to thrive was the most common AE leading to dose adjustment or discontinuation, which illustrates the extensive effects these agents have on patient functioning in a real-world population. Notably though, the RDI for sunitinib was higher in this population because about half of patients were dosed using the off-label recommendation, whereas the prescribing information recommends a more intensive 6-week dosing cycle for certain cancer types.12,13,20 Sorafenib was also often dose-adjusted based on a pharmacokinetic study of sorafenib in renal/hepatic dysfunction, and the RDI likely reflects the off-label prescribing pattern.21
Patients with thyroid cancer were found to have higher RDIs compared with those receiving the same agents for other cancer types. Improved tolerability of MKIs in thyroid cancer may be due to a generally more tolerable disease course. Thyroid cancer is the most common cancer in individuals aged < 40 years, a population that is often more robust with fewer comorbidities. Moreover, the 5-year relative survival rate for thyroid cancer remains > 98%.22 This rate is in contrast to those for other cancer types such as HCC, with a 5-year relative survival rate of only 15%.23
It is challenging to compare the mean and median times on therapy found in this study with those in current literature, as this review included multiple different cancer types for each agent. However, the numbers are generally lower than durations of therapy found across the different disease states and further emphasize the difficulty in tolerating MKIs in the VANTHCS population. Regorafenib had a short duration of time on therapy, which highlights the importance of trials like ReDOS and initiatives such as OCE Project Optimus in helping improve tolerance.7,8,24
Comparing our results with other studies proved challenging because the RDI calculation methods were not specified. Calculating RDIs in this study using method 1, which does not account for holds, resulted in higher RDIs (Appendix 2). Using method 1, all MKIs had RDIs < 85%, except for pazopanib in thyroid cancer (100%) and RCC (87.9%), and sunitinib in GIST (93.6%), thyroid cancer (100%), and neuroendocrine cancer (93.7%). Notably, using method 1 increased the RDI for pazopanib in neuroendocrine cancer from 5.4% to 50.0%. The low RDI was attributed to a single veteran with a long hold duration, which demonstrates the discrepancy that can occur between the 2 methods.

Limitations
The retrospective design, lack of survival outcomes, and difficulty comparing results with other literature were limitations of this study. Because survival outcomes were not evaluated, future research should seek to investigate how RDIs and dose adjustments made among MKIs can affect survival outcomes in real-world populations. This veteran population with cancer often had multiple chronic comorbidities, which may have contributed to difficulty tolerating MKIs and could have impacted results. Disease-related factors may have influenced the poor tolerance of the MKIs and were not specifically accounted for. Adjustment for comorbidities was not possible because of discrepancies and/or incomplete diagnosis codes and Eastern Cooperative Oncology Group performance status scores documented in patient charts. Therefore, we decided not to report these findings due to potential inaccuracies.
CONCLUSIONS
Results of this study demonstrate that oncology MKI agents used at VANTHCS were difficult for patients to tolerate, leading to suboptimal dosing compared with indicated doses established in clinical trials and prescribing information. Clinicians may use these data to help guide clinical decision-making whenever initiating and managing MKI agents in this population. These findings reinforce that MKI agents are often difficult to tolerate in real-world practice, and indicated doses are often not achieved. Further studies should aim to investigate the effect that various RDIs have on overall survival. Further investigation into different dosing schemes for MKIs to improve tolerability and longer-term use may also prove beneficial.
This analysis may help guide clinicians to carefully approach dosing MKI agents in the veteran population. Given the RDI and AEs, more clinicians may consider starting at lower than indicated doses with the goal to titrate up as tolerated. Additionally, the results highlight the importance of considering palliative care consults and ensuring appropriate supportive care agents are preemptively engaged and adjusted as needed. Approaching dosing and titrations cautiously may help reduce the burden of management on the health care system.
The US Department of Veterans Affairs (VA) annually treats around 450,000 veterans with cancer and diagnoses an additional 56,000.1,2 Oral multikinase inhibitors (MKIs) are widely used as targeted therapies for many different malignancies. Despite the ease of oral administration, these agents are often accompanied by significant adverse effects (AEs) and drug-drug interactions.3,4 Common AEs include hypertension, cutaneous reactions, gastrointestinal disturbances, proteinuria, and fatigue. Some serious outcomes that may occur are myocardial infarction, thrombosis, nephrotic syndrome, hemorrhage, hepatotoxicity, and gastrointestinal events.5,6 Due to poor tolerability of these AEs, dose reductions, frequent therapy holds, and discontinuation of therapy may occur.
The US Food and Drug Administration recognizes dosing challenges with novel therapies and has created the Oncology Center of Excellence (OCE) Project Optimus initiative to reform dose optimization in oncology drug development. The initiative aims to shift the focus from establishing dose regimens based on the maximum tolerated doses of cytotoxic chemotherapeutics to an emphasis on maximum efficacy, safety, and tolerability, which better reflect real-world dosing.7,8
MKIs can be challenging to manage because of the frequent toxicity-related dose reductions, interruptions, and discontinuations. In a multicenter retrospective study, Schnadig et al investigated dosing characteristics of first-line sunitinib for advanced renal cell carcinoma (RCC) and found that, among 114 patients who experienced AEs while taking sunitinib, 39.5% had dose reductions, 5.3% delayed therapy, 18.4% required additional supportive medications, and 22.8% discontinued sunitinib.9 Overall survival and median progression-free survival of these patients were lower than reported by Motzer et al in a phase 3 clinical trial.10 Schnadig et al concluded that patients treated with sunitinib for RCC in the community setting required more frequent dose reductions and had less time on therapy compared with patients in clinical trials, which ultimately impacted clinical outcomes.9
At the VA North Texas Health Care System (VANTHCS), patients with cancer have difficulty tolerating MKIs and often require dose alterations and/or discontinuation because of drug intolerance rather than discontinuation due to progression. Frequent dose adjustments for toxicity management can place more strain on patients and health care resources because of additional appointments, clinician time, and emergency department visits. Escalating drug costs can also cause concern when prescription doses are unused or changed frequently.
To capture and quantify prescribing practices and dose adjustments, this study evaluated the tolerability of MKIs at VANTHCS. This analysis may also guide clinicians in the selection of starting doses as well as dose titration expectations to optimize MKI therapy.
METHODS
This single-center, retrospective chart review analyzed patients receiving oral oncology MKIs for various malignancies at VANTHCS between January 1, 2014, and October 31, 2024. Participants included adults aged ≥ 18 years with a prescription for axitinib, cabozantinib, lenvatinib, pazopanib, regorafenib, sorafenib, or sunitinib initiated by the hematology/oncology service at VANTHCS. Patients were included if they had follow-up documentation with the hematology/oncology service and/or other VANTHCS clinicians outlining their course of therapy after MKI initiation. Patients were excluded if they did not have sufficient follow-up documentation (eg, transferred care to a non-VA health care practitioner [HCP], moved to another VA health care system), were enrolled in clinical trials, or were prescribed an MKI from a Care in the Community (CITC) prescriber. Electronic health record review and data collection were performed using the VA Computerized Patient Record System and Research Electronic Data Capture. Data were collected from the time of initiation to cessation of therapy and included information regarding therapy changes, progressive disease, and date of death, when available. Data collected included age, sex, race, comorbidities, date of death, type of malignancy and subtypes, cancer stage, MKI used (ie, drug, dose, frequency, schedule, and indication), dates of medication changes (ie, start, adjustment, hold, discontinuation), concurrent antineoplastic treatments, and AEs documented at times of dose change or interruption.
The primary outcome was MKI tolerance determined using relative dose intensity (RDI) and mean and median time on therapy. Two methods are used to calculate RDI that vary in how they approach time on therapy as outlined in Hawn et al.11 This study used method 2, which accounts for holds in therapy by comparing the actual duration of treatment with the duration expected according to treatment protocol. Method 1 compares the prescribed dose with the administered dose and does not adjust for holds.11 Using method 2, the RDI in this study was calculated by dividing the total actual dose given by the total indicated dose for the malignancy being treated, which accounts for duration of treatment.

The total actual dose was the strength, frequency, and days on therapy for each time frame of treatment multiplied together. This method accounted for all dose adjustments and time periods of treatment holds, including patient self-adjustments, prescriber-directed adjustments, and nonadherence determined by HCP documentation and/or prescription data. Similarly, the indicated total dose was calculated by multiplying the indicated strength, frequency, and all days that treatment should have occurred (time from start to finish). Indicated doses were derived from the prescribing information for each malignancy with the exception of sunitinib, for which the off-label dose of 37.5 mg daily was considered a full dose.12,13 The total indicated dose for axitinib was calculated by considering the dose escalation schedule from the prescribing information.
Patients who required dose reductions due to renal/hepatic impairments or drug-drug interactions had their total indicated dose calculated using dose adjustments listed in the prescribing information. The mean RDI for each MKI agent was calculated by averaging the RDI for each prescription. The overall combined mean RDI included the means of all the MKIs reviewed to avoid skewing the results toward an MKI with more prescriptions. RDIs were also calculated for each cancer type for each agent. Additional descriptive secondary outcomes included rates of AEs and adjustments in doses.
RESULTS
Electronic data extraction identified 278 patients with 366 MKI prescriptions, of which 108 veterans with 158 MKI prescriptions were excluded. The top reason for exclusion was patients managed through CITC. Ultimately, 170 veterans with 208 MKI prescriptions managed by the VANTHCS hematology/oncology clinic were included (Table 1). Among patients receiving MKIs, the mean age was 72.7 years, 98% were male, and 99% had metastatic disease.

The overall combined mean MKI RDI was 67.5% using method 2 and ranged from 85.5% for sunitinib to 49.0% for sorafenib (Figure 1). Additional information regarding mean and median RDIs using method 2 is shown in Figure 1 and further subdivided by cancer type in Table 2. Median RDIs overall were similar to mean RDIs for most agents. Figure 2 indicates the mean and median time on therapy, reflecting time on therapy excluding days therapy was held. The overall combined mean and median days on therapy for all MKIs were 155 days and 95 days, respectively. Mean time on therapy depended on the agent used and ranged from 35 days (regorafenib) to 237 days (cabozantinib).

Of 208 MKI prescriptions, 127 (61.1%) were initiated at a reduced dose due to baseline concerns for tolerance such as performance status, frailty, and prior intolerance of other treatments. Eighty-one prescriptions (38.9%) were initiated at their indicated doses. Ninety prescriptions (43.3%) required dose reductions during treatment. Some MKI prescriptions had multiple dose increases and decreases, which is why RDI more accurately reflects dose adjustments. A total of 376 AEs that contributed to a dose adjustment, hold, or discontinuation occurred across all MKI prescriptions. The most common AEs were 82 failure-to-thrive events (21.8%) (fatigue, malaise, loss of appetite, reduced mobility, global decline), 79 gastrointestinal events (21.0%) (nausea, vomiting, diarrhea, abdominal pain), 62 dermatologic events (16.5%) (rash, hand-foot skin reactions, allergic response), 61 hepatic dysfunction events (16.2%) (liver enzyme elevations, hyperbilirubinemia), 40 cardiovascular events (10.6%) (hypertension, heart failure exacerbations, edema), and 33 renal dysfunction events (8.8%) (acute kidney injury, proteinuria) (Appendix 1).

DISCUSSION
The mean RDI of MKI prescriptions used in the veteran population at VANTHCS was about two-thirds of the indicated dose. These results indicate that most veterans required dose reductions and/or holds due to concerns over initial tolerance/performance status, worsening clinical condition, and/or intolerable AEs attributed to treatment. A retrospective study conducted by Denduluri et al suggested that an RDI of < 85% is a clinically meaningful reduction for traditional chemotherapy based on previous literature.14 However, it is less clear what RDI should be expected specifically for MKIs in real-world populations. The MKI phase 3 approval trials in RCC for axitinib, lenvatinib, and sunitinib found median RDIs of 89.4%, 69.6% to 70.4%, and 83.9%, respectively. Each trial cited dose reductions most commonly as the result of treatment-related AEs.15,16
Studies on the impact of RDIs on survival outcomes found that higher RDIs may improve overall and progression-free survival. Retrospective studies inspecting lenvatinib in hepatocellular carcinoma (HCC) indicated that an RDI > 70% in the initial 4 weeks resulted in favorable survival outcomes.17 Similarly, a retrospective study investigating sunitinib in RCC found that an RDI > 60% conferred favorable survival outcomes.18 Alghamdi et al noted that patients taking sorafenib for HCC who had RDI > 50% had a favorable trend in survival characteristics. Interestingly, the study found an RDI of 50% to 75% appeared to have better survival than an RDI > 75%.19 The authors of these studies hypothesized that additional dose reductions allowed for longer total time on therapy due to improved tolerability.17-19
This analysis found that the RDIs for most MKI agents at VANTHCS were < 85% and lower than the RDIs found in other review articles and phase 3 trials, with the exceptions of pazopanib in thyroid cancer and sunitinib in gastrointestinal stromal tumor (GIST), thyroid cancer, and neuroendocrine cancer. The reasons for the lower RDIs in this study are likely multifactorial, reflecting patient population characteristics, off-label dosing practices, and HCP experiences with these agents. Many veterans have chronic comorbidities that could contribute to reduced performance status and ability to tolerate these therapies. Despite attempts to preemptively reduce doses for patients and account for potential impaired tolerance, there were patients who required further dose reductions in our study.
Failure to thrive was the most common AE leading to dose adjustment or discontinuation, which illustrates the extensive effects these agents have on patient functioning in a real-world population. Notably though, the RDI for sunitinib was higher in this population because about half of patients were dosed using the off-label recommendation, whereas the prescribing information recommends a more intensive 6-week dosing cycle for certain cancer types.12,13,20 Sorafenib was also often dose-adjusted based on a pharmacokinetic study of sorafenib in renal/hepatic dysfunction, and the RDI likely reflects the off-label prescribing pattern.21
Patients with thyroid cancer were found to have higher RDIs compared with those receiving the same agents for other cancer types. Improved tolerability of MKIs in thyroid cancer may be due to a generally more tolerable disease course. Thyroid cancer is the most common cancer in individuals aged < 40 years, a population that is often more robust with fewer comorbidities. Moreover, the 5-year relative survival rate for thyroid cancer remains > 98%.22 This rate is in contrast to those for other cancer types such as HCC, with a 5-year relative survival rate of only 15%.23
It is challenging to compare the mean and median times on therapy found in this study with those in current literature, as this review included multiple different cancer types for each agent. However, the numbers are generally lower than durations of therapy found across the different disease states and further emphasize the difficulty in tolerating MKIs in the VANTHCS population. Regorafenib had a short duration of time on therapy, which highlights the importance of trials like ReDOS and initiatives such as OCE Project Optimus in helping improve tolerance.7,8,24
Comparing our results with other studies proved challenging because the RDI calculation methods were not specified. Calculating RDIs in this study using method 1, which does not account for holds, resulted in higher RDIs (Appendix 2). Using method 1, all MKIs had RDIs < 85%, except for pazopanib in thyroid cancer (100%) and RCC (87.9%), and sunitinib in GIST (93.6%), thyroid cancer (100%), and neuroendocrine cancer (93.7%). Notably, using method 1 increased the RDI for pazopanib in neuroendocrine cancer from 5.4% to 50.0%. The low RDI was attributed to a single veteran with a long hold duration, which demonstrates the discrepancy that can occur between the 2 methods.

Limitations
The retrospective design, lack of survival outcomes, and difficulty comparing results with other literature were limitations of this study. Because survival outcomes were not evaluated, future research should seek to investigate how RDIs and dose adjustments made among MKIs can affect survival outcomes in real-world populations. This veteran population with cancer often had multiple chronic comorbidities, which may have contributed to difficulty tolerating MKIs and could have impacted results. Disease-related factors may have influenced the poor tolerance of the MKIs and were not specifically accounted for. Adjustment for comorbidities was not possible because of discrepancies and/or incomplete diagnosis codes and Eastern Cooperative Oncology Group performance status scores documented in patient charts. Therefore, we decided not to report these findings due to potential inaccuracies.
CONCLUSIONS
Results of this study demonstrate that oncology MKI agents used at VANTHCS were difficult for patients to tolerate, leading to suboptimal dosing compared with indicated doses established in clinical trials and prescribing information. Clinicians may use these data to help guide clinical decision-making whenever initiating and managing MKI agents in this population. These findings reinforce that MKI agents are often difficult to tolerate in real-world practice, and indicated doses are often not achieved. Further studies should aim to investigate the effect that various RDIs have on overall survival. Further investigation into different dosing schemes for MKIs to improve tolerability and longer-term use may also prove beneficial.
This analysis may help guide clinicians to carefully approach dosing MKI agents in the veteran population. Given the RDI and AEs, more clinicians may consider starting at lower than indicated doses with the goal to titrate up as tolerated. Additionally, the results highlight the importance of considering palliative care consults and ensuring appropriate supportive care agents are preemptively engaged and adjusted as needed. Approaching dosing and titrations cautiously may help reduce the burden of management on the health care system.
- Frequently asked questions. VA National Oncology Program. 2025. Accessed December 15, 2025. https://www.cancer.va.gov/CANCER/faqs.html
- Torez L. Reigniting the cancer moonshot to beat cancer. VA News. April 20, 2023. Accessed April 6, 2026. https://news.va.gov/118378/reigniting-the-cancer-moonshot-to-beat-cancer
- Shah NN, Casella E, Capozzi D, et al. Improving the safety of oral chemotherapy at an academic medical center. J Oncol Pract. 2016;12:e71-e76. doi:10.1200/JOP.2015.007260
- Hussaarts KGAM, Veerman GDM, Jansman FGA, et al. Clinically relevant drug interactions with multikinase inhibitors: a review. Ther Adv Med Oncol. 2019;11:1758835918818347. doi:10.1177/1758835918818347
- Shyam Sunder S, Sharma UC, Pokharel S. Adverse effects of tyrosine kinase inhibitors in cancer therapy: pathophysiology, mechanisms and clinical management. Signal Transduct Target Ther. 2023;8:262. doi:10.1038/s41392-023-01469-6
- Thomson RJ, Moshirfar M, Ronquillo Y. Tyrosine kinase inhibitors. In: StatPearls [Internet]. StatPearls Publishing; updated July 18, 2023. Accessed December 15, 2025. https://www.ncbi.nlm.nih.gov/books/NBK563322/
- Project Optimus. US Food and Drug Administration. Updated December 6, 2024. Accessed December 15, 2025. https://www.fda.gov/about-fda/oncology-center-excellence/project-optimus
- Optimizing the dosage of human prescription drugs and biological products for the treatment of oncologic diseases: Guidance for Industry. Docket number FDA-2022-D-2827. US Food and Drug Administration. August 2024. Accessed December 15, 2025. https://www.fda.gov/regulatory-information/search-fda-guidance-documents/optimizing-dosage-human-prescription-drugs-and-biological-products-treatment-oncologic-diseases
- Schnadig ID, Hutson TE, Chung H, et al. Dosing patterns, toxicity, and outcomes in patients treated with first-line sunitinib for advanced renal cell carcinoma in community-based practices. Clin Genitourin Cancer. 2014;12:413-421. doi:10.1016/j.clgc.2014.06.015
- Motzer RJ, Hutson TE, Tomczak P, et al. Sunitinib versus interferon alfa in metastatic renal-cell carcinoma. N Engl J Med. 2007;356:115-124. doi:10.1056/nejmoa065044
- Hawn C, Bansal D. Relative dose intensity in oncology trials: a discussion of two approaches. PharmaSUG. 2024. Accessed April 6, 2026. https://pharmasug.org/proceedings/2024/ST/PharmaSUG-2024-ST-297.pdf
- George S, Merriam P, Maki RG, et al. Multicenter phase II trial of sunitinib in the treatment of nongastrointestinal stromal tumor sarcomas. J Clin Oncol. 2009;27:3154-3160. doi:10.1200/jco.2008.20.9890
- George S, Blay JY, Casali PG, et al. Clinical evaluation of continuous daily dosing of sunitinib malate in patients with advanced gastrointestinal stromal tumour after imatinib failure. Eur J Cancer. 2009;45:1959-1968. doi:10.1016/j.ejca.2009.02.011
- Denduluri N, Patt DA, Wang Y, et al. Dose delays, dose reductions, and relative dose intensity in patients with cancer who received adjuvant or neoadjuvant chemotherapy in community oncology practices. J Natl Compr Canc Netw. 2015;13:1383-1393. doi:10.6004/jnccn.2015.0166
- Motzer RJ, Penkov K, Haanen J, et al. Avelumab plus axitinib versus sunitinib for advanced renal-cell carcinoma. N Engl J Med. 2019;380:1103-1115. doi:10.1056/nejmoa1816047
- Motzer R, Alekseev B, Rha SY, et al. Lenvatinib plus pembrolizumab or everolimus for advanced renal cell carcinoma. N Engl J Med. 2021;384:1289-1300. doi:10.1056/nejmoa2035716
- Kirino S, Tsuchiya K, Kurosaki M, et al. Relative dose intensity over the first four weeks of lenvatinib therapy is a factor of favorable response and overall survival in patients with unresectable hepatocellular carcinoma. PloS One. 2020;15:e0231828. doi:10.1371/journal.pone.0231828
- Ishihara H, Takagi T, Kondo T, et al. Decreased relative dose intensity during the early phase of treatment impacts the therapeutic efficacy of sunitinib in metastatic renal cell carcinoma. Jpn J Clin Oncol. 2018;48:667-672. doi:10.1093/jjco/hyy078
- Alghamdi MA, Amaro CP, Lee-Ying R, et al. Effect of sorafenib starting dose and dose intensity on survival in patients with hepatocellular carcinoma: results from a Canadian Multicenter Database. Cancer Med. 2020;9:4918-4928. doi:10.1002/cam4.3228
- Motzer RJ, Rini BI, Bukowski RM, et al. Sunitinib in patients with metastatic renal cell carcinoma. JAMA. 2006;295:2516-2524. doi:10.1001/jama.295.21.2516
- Miller AA, Murry DJ, Owzar K, et al. Phase I and pharmacokinetic study of sorafenib in patients with hepatic or renal dysfunction: CALGB 60301. J Clin Oncol. 2009;27:1800-1805. doi:10.1200/jco.2008.20.0931
- Boucai L, Zafereo M, Cabanillas ME. Thyroid cancer: a review. JAMA. 2024;331:425-435. doi:10.1001/jama.2023.26348
- Amin N, Anwar J, Sulaiman A, et al. Hepatocellular carcinoma: a comprehensive review. Diseases. 2025;13:207. doi:10.3390/diseases13070207
- Bekaii-Saab TS, Ou FS, Ahn DH, et al. Regorafenib dose-optimisation in patients with refractory metastatic colorectal cancer (ReDOS): a randomised, multicentre, open-label, phase 2 study. Lancet Oncol. 2019;20:1070-1082. doi:10.1016/s1470-2045(19)30272-4
- Frequently asked questions. VA National Oncology Program. 2025. Accessed December 15, 2025. https://www.cancer.va.gov/CANCER/faqs.html
- Torez L. Reigniting the cancer moonshot to beat cancer. VA News. April 20, 2023. Accessed April 6, 2026. https://news.va.gov/118378/reigniting-the-cancer-moonshot-to-beat-cancer
- Shah NN, Casella E, Capozzi D, et al. Improving the safety of oral chemotherapy at an academic medical center. J Oncol Pract. 2016;12:e71-e76. doi:10.1200/JOP.2015.007260
- Hussaarts KGAM, Veerman GDM, Jansman FGA, et al. Clinically relevant drug interactions with multikinase inhibitors: a review. Ther Adv Med Oncol. 2019;11:1758835918818347. doi:10.1177/1758835918818347
- Shyam Sunder S, Sharma UC, Pokharel S. Adverse effects of tyrosine kinase inhibitors in cancer therapy: pathophysiology, mechanisms and clinical management. Signal Transduct Target Ther. 2023;8:262. doi:10.1038/s41392-023-01469-6
- Thomson RJ, Moshirfar M, Ronquillo Y. Tyrosine kinase inhibitors. In: StatPearls [Internet]. StatPearls Publishing; updated July 18, 2023. Accessed December 15, 2025. https://www.ncbi.nlm.nih.gov/books/NBK563322/
- Project Optimus. US Food and Drug Administration. Updated December 6, 2024. Accessed December 15, 2025. https://www.fda.gov/about-fda/oncology-center-excellence/project-optimus
- Optimizing the dosage of human prescription drugs and biological products for the treatment of oncologic diseases: Guidance for Industry. Docket number FDA-2022-D-2827. US Food and Drug Administration. August 2024. Accessed December 15, 2025. https://www.fda.gov/regulatory-information/search-fda-guidance-documents/optimizing-dosage-human-prescription-drugs-and-biological-products-treatment-oncologic-diseases
- Schnadig ID, Hutson TE, Chung H, et al. Dosing patterns, toxicity, and outcomes in patients treated with first-line sunitinib for advanced renal cell carcinoma in community-based practices. Clin Genitourin Cancer. 2014;12:413-421. doi:10.1016/j.clgc.2014.06.015
- Motzer RJ, Hutson TE, Tomczak P, et al. Sunitinib versus interferon alfa in metastatic renal-cell carcinoma. N Engl J Med. 2007;356:115-124. doi:10.1056/nejmoa065044
- Hawn C, Bansal D. Relative dose intensity in oncology trials: a discussion of two approaches. PharmaSUG. 2024. Accessed April 6, 2026. https://pharmasug.org/proceedings/2024/ST/PharmaSUG-2024-ST-297.pdf
- George S, Merriam P, Maki RG, et al. Multicenter phase II trial of sunitinib in the treatment of nongastrointestinal stromal tumor sarcomas. J Clin Oncol. 2009;27:3154-3160. doi:10.1200/jco.2008.20.9890
- George S, Blay JY, Casali PG, et al. Clinical evaluation of continuous daily dosing of sunitinib malate in patients with advanced gastrointestinal stromal tumour after imatinib failure. Eur J Cancer. 2009;45:1959-1968. doi:10.1016/j.ejca.2009.02.011
- Denduluri N, Patt DA, Wang Y, et al. Dose delays, dose reductions, and relative dose intensity in patients with cancer who received adjuvant or neoadjuvant chemotherapy in community oncology practices. J Natl Compr Canc Netw. 2015;13:1383-1393. doi:10.6004/jnccn.2015.0166
- Motzer RJ, Penkov K, Haanen J, et al. Avelumab plus axitinib versus sunitinib for advanced renal-cell carcinoma. N Engl J Med. 2019;380:1103-1115. doi:10.1056/nejmoa1816047
- Motzer R, Alekseev B, Rha SY, et al. Lenvatinib plus pembrolizumab or everolimus for advanced renal cell carcinoma. N Engl J Med. 2021;384:1289-1300. doi:10.1056/nejmoa2035716
- Kirino S, Tsuchiya K, Kurosaki M, et al. Relative dose intensity over the first four weeks of lenvatinib therapy is a factor of favorable response and overall survival in patients with unresectable hepatocellular carcinoma. PloS One. 2020;15:e0231828. doi:10.1371/journal.pone.0231828
- Ishihara H, Takagi T, Kondo T, et al. Decreased relative dose intensity during the early phase of treatment impacts the therapeutic efficacy of sunitinib in metastatic renal cell carcinoma. Jpn J Clin Oncol. 2018;48:667-672. doi:10.1093/jjco/hyy078
- Alghamdi MA, Amaro CP, Lee-Ying R, et al. Effect of sorafenib starting dose and dose intensity on survival in patients with hepatocellular carcinoma: results from a Canadian Multicenter Database. Cancer Med. 2020;9:4918-4928. doi:10.1002/cam4.3228
- Motzer RJ, Rini BI, Bukowski RM, et al. Sunitinib in patients with metastatic renal cell carcinoma. JAMA. 2006;295:2516-2524. doi:10.1001/jama.295.21.2516
- Miller AA, Murry DJ, Owzar K, et al. Phase I and pharmacokinetic study of sorafenib in patients with hepatic or renal dysfunction: CALGB 60301. J Clin Oncol. 2009;27:1800-1805. doi:10.1200/jco.2008.20.0931
- Boucai L, Zafereo M, Cabanillas ME. Thyroid cancer: a review. JAMA. 2024;331:425-435. doi:10.1001/jama.2023.26348
- Amin N, Anwar J, Sulaiman A, et al. Hepatocellular carcinoma: a comprehensive review. Diseases. 2025;13:207. doi:10.3390/diseases13070207
- Bekaii-Saab TS, Ou FS, Ahn DH, et al. Regorafenib dose-optimisation in patients with refractory metastatic colorectal cancer (ReDOS): a randomised, multicentre, open-label, phase 2 study. Lancet Oncol. 2019;20:1070-1082. doi:10.1016/s1470-2045(19)30272-4
Investigating Real-World Tolerance and Dose Reductions of Oncology Multikinase Inhibitors in a VA Population
Investigating Real-World Tolerance and Dose Reductions of Oncology Multikinase Inhibitors in a VA Population
Potential Tyrosine Kinase Inhibitor Therapy Discontinuation for Patients With Chronic Myeloid Leukemia in a VA Regional Network
Potential Tyrosine Kinase Inhibitor Therapy Discontinuation for Patients With Chronic Myeloid Leukemia in a VA Regional Network
Chronic myeloid leukemia (CML) is a hematologic malignancy resulting from an acquired mutation. The mutation results in a reciprocal translocation between the long arms of chromosomes 9 and 22 and is known as the Philadelphia chromosome (Ph), or Ph-positive (Ph+) when present. The translocation results in the formation of a BCR-ABL fusion oncogene, which leads to continuous cell cycling and proliferation, altered differentiation, and a loss of apoptosis.1,2
Until the 1980s, CML was considered fatal.3 The mainstay of treatment consisted of 2 oral chemotherapeutic agents, busulfan and hydroxyurea. These medications did not prevent blast crisis, a fatal form of leukemia.4,5 The introduction of tyrosine kinase inhibitors (TKIs) transformed CML management and improved 10-year overall survival from about 20% to > 80% by delaying the transition to blast crisis. Now, the risk of death from general health conditions or comorbidities is higher than that of CML.6
TKIs target the root cause of CML through inhibition of the BCR-ABL oncoprotein.1,2 For CML, the goals of treatment include maintaining hematologic, cytogenetic, and molecular remission; preventing progression to accelerated phase or blast crisis; minimizing toxicity; and enabling potential cessation of therapy in carefully selected patients.7,8
Small cohort studies suggest that dose reduction of TKIs in patients who achieve optimal responses may reduce the risk of long-term adverse effects (AEs). However, optimal dose-reduction and minimum effective dose of each agent are unknown.7 The ability to maintain undetectable minimal residual disease or disease detectable at a stable low level after TKI discontinuation has been called treatment-free remission. Studies suggest that about 40% to 50% of patients who have achieved a stable deep molecular response remain in treatment-free remission after stopping first-line treatment.9,10 Of the patients who relapse following TKI discontinuation, 80% relapse within the first 6 months of treatment cessation. Molecular response is regained in almost all patients when treatment is resumed with the same TKI.11
The National Comprehensive Cancer Network (NCCN) recommends considering discontinuation of TKI therapy only outside the setting of a clinical trial and only in patients who consent to discontinuation after a thorough discussion of the potential risks and benefits. The NCCN criteria for patients who may be eligible for discontinuation are listed in Table 1. The Life After Stopping TKIs study reported that 80% of patients with well-controlled chronic phase CML who discontinued TKIs had a clinically meaningful improvement in fatigue. Patients also reported clinically meaningful improvements in depression, diarrhea, sleep disturbance, and pain interference. These symptoms worsened after restarting TKI therapy.12

TKI DISCONTINUATION
Electronic health record data were extracted using structured query language from the US Department of Veterans Affairs (VA) Corporate Data Warehouse (CDW). To be eligible for discontinuation, veterans had to be aged > 18 years, receive oncology care within a Veterans Integrated Services Network (VISN) 21 health care system (HCS) (VA Sierra Nevada HCS, VA Southern Nevada HCS, VA Central California HCS, VA Palo Alto HCS, VA Northern California HCS, and VA San Francisco HCS) or be a veteran referred to a community-based oncology practitioner. Patients had to have a documented diagnosis of chronic phase CML, have an active order for a TKI, be on TKI therapy for ≥ 3 years, and have a stable molecular response (BCR-ABL1 ≤ 0.01% on the International Scale for ≥ 2 years with ≥ 4 tests done ≥ 3 months apart) as of October 1, 2024. Veterans were excluded if they had a history of advanced accelerated phase CML, previous TKI discontinuation trials, nonadherence to the TKI, or if they did not want to consider TKI discontinuation.
This analysis evaluated the potential cost avoidance associated with TKI discontinuation. Cost avoidance was calculated using the average wholesale price of each TKI. Secondary objectives evaluated health outcomes of TKI discontinuation including CML relapse, reported AEs, long-term remission, and TKI withdrawal syndrome. Health outcomes were determined through chart review of AEs and clinic notes documented in the electronic health record during the study time frame.
Baseline information for eligible patients was collected, including age, sex, and race, and chart reviews were completed to evaluate reported AEs associated with therapy. Oncology clinical pharmacy practitioners (CPPs) at each VISN 21 facility were notified of eligible patients to facilitate discussion with oncologists and establish monitoring if therapy was discontinued. Following TKI discontinuation, health outcomes were evaluated, including CML relapse, changes in reported AEs, long-term remission, and TKI withdrawal syndrome. Descriptive statistics were used to analyze the baseline characteristics. Cost avoidance was calculated using the average wholesale price for each TKI. The number of tablets required to reach each patient’s individual dose was taken into consideration when determining the cost avoidance. A dashboard was created using the query from the CDW and was developed in Microsoft Power BI.
Preliminary Results
In FY 2024, VISN 21 had 3819 oncology patients. Twenty-four patients had taken a TKI for ≥ 3 years, 20 had a stable molecular response, and 15 had not previously attempted to discontinue their TKI (Figure 1). Fifteen veterans were eligible for therapy discontinuation for a total potential annual cost avoidance of $1.2 million (Figure 2). Most of the cost avoidance, $935,057 (78%), was attributed to 3 patients on nilotinib. The mean age of the population was 74 years. All patients were male, and 12 (80%) were White. (Table 2). At baseline, 11 patients (73%) were taking imatinib. One patient received oncology care from a community care clinician. All 15 patients decided to remain on therapy.
Abbreviations: CML, chronic myeloid leukemia; TKI, tyrosine kinase inhibitor;
VISN, Veterans Integrated Service Network.
for 15 patients at Veterans Integrated Services Network 21.

DISCUSSION
As a multisite quality improvement initiative, this project raised awareness of TKI therapy discontinuation in select patients with CML. It also sparked collaboration among oncology CPPs and clinicians and stimulated conversations about CML treatment. The development of the TKI discontinuation dashboard provides a population health management tool for CPPs and clinicians to identify eligible patients in the future.
Adherence to TKIs is crucial for disease control and survival in patients with CML. Patients are counseled that poor adherence to therapy may contribute to worsening disease or suboptimal response, the development of resistance, and greater health care costs.13 Therefore, it was a challenge for patients to understand and accept that they could stop TKI therapy after achieving a stable deep molecular response. Discussions with patients about the goal of therapy—suppressing the BCR-ABL oncogene, which they have achieved—could encourage patients to trial therapy discontinuation.
Only small cohort studies have been completed to evaluate the outcomes of therapy discontinuation. Much remains unknown regarding the optimal dose-reduction strategy and the minimum effective dose of each agent. Additionally, understanding the qualities of a good candidate for TKI discontinuation remains a barrier. A similar project was conducted in VISN 17. Five patients were counseled on TKI discontinuation; however, only 1 discontinued TKI therapy. Unfortunately, soon after discontinuing treatment, the patient had to restart therapy. Additional literature will enhance understanding of therapy discontinuation.
An unexpected finding of TKI discontinuation trials has been a reversible phenomenon known as TKI withdrawal syndrome.9 It can occur regardless of the TKI used and results in pruritus and new or worsening musculoskeletal pain within several weeks of TKI discontinuation in about 30% of patients. Symptoms may last several months and may require acetaminophen or nonsteroidal anti-inflammatory drugs for pain control.9,10,14
The potential cost avoidance of $1.2 million is an underestimation because VA contracts allow for greater cost savings. However, that information is confidential and therefore average wholesale price had to be used for this project. Most of the cost avoidance was due to 4 patients who could not tolerate imatinib and used nilotinib, which is more expensive.
Limitations
The small sample size presented some limitations. Of the 3819 oncology patients within VISN 21 in FY 2024, 186 received a TKI and only 15 were eligible for discontinuation. Additionally, challenges emerged when discussing discontinuation with community care clinicians and patients. Community care clinicians were difficult to contact, making it challenging to discuss the project with them. CPPs noted hesitancy among VA clinicians and patients to discontinue a medication for which adherence was continually emphasized.
Conclusions
Discussions about CML TKI discontinuation led to collaboration with the oncology care team and could lead to significant cost avoidance. Barriers to TKI discontinuation included patients’ concern for relapse, risk of discontinuation syndrome, the requirement for close monitoring, and clinician buy-in. Outcome studies are needed to gain a greater understanding of the benefits and risks of therapy discontinuation. In the future, evaluation of possible clinical and biological predictors of successful TKI discontinuation may be beneficial.
- Schiffer CA. BCR-ABL tyrosine kinase inhibitors for chronic myelogenous leukemia. N Engl J Med. 2007;357:258-265. doi:10.1056/NEJMct071828
- Hehlmann R, Hochhaus A, Baccarani M; European LeukemiaNet. Chronic myeloid leukaemia. Lancet. 2007;370:342-350. doi:10.1016/S0140-6736(07)61165-9
- Goldman JM, Melo JV. Chronic myeloid leukemia--advances in biology and new approaches to treatment. N Engl J Med. 2003;349:1451-1464. doi:10.1056/NEJMra020777
- Pasic I, Lipton JH. Current approach to the treatment of chronic myeloid leukaemia. Leuk Res. 2017;55:65-78. doi:10.1016/j.leukres.2017.01.005
- Rao KV, Iannucci A, Jabbour E. Current and future clinical strategies in the management of chronic myeloid leukemia. Pharmacotherapy. 2010;30:77S-101S. doi:10.1592/phco.30.pt2.77S
- Cortes J, Pavlovsky C, Saußele S. Chronic myeloid leukaemia. Lancet. 2021;398:1914-1926. doi:10.1016/S0140-6736(21)01204-6
- National Comprehensive Cancer Network (NCCN). NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines®). Chronic myeloid leukemia. Version 1.2026. July 16, 2025. Accessed February 8, 2026. https://www.nccn.org /guidelines/guidelines-detail?id=1427
- Hochhaus A, Baccarani M, Silver RT, et al. European LeukemiaNet 2020 recommendations for treating chronic myeloid leukemia. Leukemia. 2020;34:966-984. doi:10.1038/s41375-020-0776-2
- Saußele S, Richter J, Hochhaus A, Mahon F-X. The concept of treatment-free remission in chronic myeloid leukemia. Leukemia. 2016;30:1638-1647. doi:10.1038/leu.2016.115
- Atallah E, Sweet K. Treatment-free remission: the new goal in CML therapy. Curr Hematol Malig Rep. 2021;16:433-439. doi:10.1007/s11899-021-00653-1
- Hehlmann R. The new ELN recommendations for treating CML. J Clin Med. 2020;9:3671. doi:10.3390/jcm9113671
- Atallah E, Schiffer CA, Radich JP , et al. Assessment of outcomes after stopping tyrosine kinase inhibitors among patients with chronic myeloid leukemia: a non-randomized clinical trial. JAMA Oncol. 2021;7:42-50. doi:10.1001/jamaoncol.2020.5774
- Breccia M, Efficace F, Alimena G. Imatinib treatment in chronic myelogenous leukemia: what have we learned so far? Cancer Lett. 2011;300:115-121. doi:10.1016/j.canlet.2010.10.018
- Berman E. How I treat chronic-phase chronic myelogenous leukemia. Blood. 2022;139:3138-3147. doi:10.1182/blood.2021011722
Chronic myeloid leukemia (CML) is a hematologic malignancy resulting from an acquired mutation. The mutation results in a reciprocal translocation between the long arms of chromosomes 9 and 22 and is known as the Philadelphia chromosome (Ph), or Ph-positive (Ph+) when present. The translocation results in the formation of a BCR-ABL fusion oncogene, which leads to continuous cell cycling and proliferation, altered differentiation, and a loss of apoptosis.1,2
Until the 1980s, CML was considered fatal.3 The mainstay of treatment consisted of 2 oral chemotherapeutic agents, busulfan and hydroxyurea. These medications did not prevent blast crisis, a fatal form of leukemia.4,5 The introduction of tyrosine kinase inhibitors (TKIs) transformed CML management and improved 10-year overall survival from about 20% to > 80% by delaying the transition to blast crisis. Now, the risk of death from general health conditions or comorbidities is higher than that of CML.6
TKIs target the root cause of CML through inhibition of the BCR-ABL oncoprotein.1,2 For CML, the goals of treatment include maintaining hematologic, cytogenetic, and molecular remission; preventing progression to accelerated phase or blast crisis; minimizing toxicity; and enabling potential cessation of therapy in carefully selected patients.7,8
Small cohort studies suggest that dose reduction of TKIs in patients who achieve optimal responses may reduce the risk of long-term adverse effects (AEs). However, optimal dose-reduction and minimum effective dose of each agent are unknown.7 The ability to maintain undetectable minimal residual disease or disease detectable at a stable low level after TKI discontinuation has been called treatment-free remission. Studies suggest that about 40% to 50% of patients who have achieved a stable deep molecular response remain in treatment-free remission after stopping first-line treatment.9,10 Of the patients who relapse following TKI discontinuation, 80% relapse within the first 6 months of treatment cessation. Molecular response is regained in almost all patients when treatment is resumed with the same TKI.11
The National Comprehensive Cancer Network (NCCN) recommends considering discontinuation of TKI therapy only outside the setting of a clinical trial and only in patients who consent to discontinuation after a thorough discussion of the potential risks and benefits. The NCCN criteria for patients who may be eligible for discontinuation are listed in Table 1. The Life After Stopping TKIs study reported that 80% of patients with well-controlled chronic phase CML who discontinued TKIs had a clinically meaningful improvement in fatigue. Patients also reported clinically meaningful improvements in depression, diarrhea, sleep disturbance, and pain interference. These symptoms worsened after restarting TKI therapy.12

TKI DISCONTINUATION
Electronic health record data were extracted using structured query language from the US Department of Veterans Affairs (VA) Corporate Data Warehouse (CDW). To be eligible for discontinuation, veterans had to be aged > 18 years, receive oncology care within a Veterans Integrated Services Network (VISN) 21 health care system (HCS) (VA Sierra Nevada HCS, VA Southern Nevada HCS, VA Central California HCS, VA Palo Alto HCS, VA Northern California HCS, and VA San Francisco HCS) or be a veteran referred to a community-based oncology practitioner. Patients had to have a documented diagnosis of chronic phase CML, have an active order for a TKI, be on TKI therapy for ≥ 3 years, and have a stable molecular response (BCR-ABL1 ≤ 0.01% on the International Scale for ≥ 2 years with ≥ 4 tests done ≥ 3 months apart) as of October 1, 2024. Veterans were excluded if they had a history of advanced accelerated phase CML, previous TKI discontinuation trials, nonadherence to the TKI, or if they did not want to consider TKI discontinuation.
This analysis evaluated the potential cost avoidance associated with TKI discontinuation. Cost avoidance was calculated using the average wholesale price of each TKI. Secondary objectives evaluated health outcomes of TKI discontinuation including CML relapse, reported AEs, long-term remission, and TKI withdrawal syndrome. Health outcomes were determined through chart review of AEs and clinic notes documented in the electronic health record during the study time frame.
Baseline information for eligible patients was collected, including age, sex, and race, and chart reviews were completed to evaluate reported AEs associated with therapy. Oncology clinical pharmacy practitioners (CPPs) at each VISN 21 facility were notified of eligible patients to facilitate discussion with oncologists and establish monitoring if therapy was discontinued. Following TKI discontinuation, health outcomes were evaluated, including CML relapse, changes in reported AEs, long-term remission, and TKI withdrawal syndrome. Descriptive statistics were used to analyze the baseline characteristics. Cost avoidance was calculated using the average wholesale price for each TKI. The number of tablets required to reach each patient’s individual dose was taken into consideration when determining the cost avoidance. A dashboard was created using the query from the CDW and was developed in Microsoft Power BI.
Preliminary Results
In FY 2024, VISN 21 had 3819 oncology patients. Twenty-four patients had taken a TKI for ≥ 3 years, 20 had a stable molecular response, and 15 had not previously attempted to discontinue their TKI (Figure 1). Fifteen veterans were eligible for therapy discontinuation for a total potential annual cost avoidance of $1.2 million (Figure 2). Most of the cost avoidance, $935,057 (78%), was attributed to 3 patients on nilotinib. The mean age of the population was 74 years. All patients were male, and 12 (80%) were White. (Table 2). At baseline, 11 patients (73%) were taking imatinib. One patient received oncology care from a community care clinician. All 15 patients decided to remain on therapy.
Abbreviations: CML, chronic myeloid leukemia; TKI, tyrosine kinase inhibitor;
VISN, Veterans Integrated Service Network.
for 15 patients at Veterans Integrated Services Network 21.

DISCUSSION
As a multisite quality improvement initiative, this project raised awareness of TKI therapy discontinuation in select patients with CML. It also sparked collaboration among oncology CPPs and clinicians and stimulated conversations about CML treatment. The development of the TKI discontinuation dashboard provides a population health management tool for CPPs and clinicians to identify eligible patients in the future.
Adherence to TKIs is crucial for disease control and survival in patients with CML. Patients are counseled that poor adherence to therapy may contribute to worsening disease or suboptimal response, the development of resistance, and greater health care costs.13 Therefore, it was a challenge for patients to understand and accept that they could stop TKI therapy after achieving a stable deep molecular response. Discussions with patients about the goal of therapy—suppressing the BCR-ABL oncogene, which they have achieved—could encourage patients to trial therapy discontinuation.
Only small cohort studies have been completed to evaluate the outcomes of therapy discontinuation. Much remains unknown regarding the optimal dose-reduction strategy and the minimum effective dose of each agent. Additionally, understanding the qualities of a good candidate for TKI discontinuation remains a barrier. A similar project was conducted in VISN 17. Five patients were counseled on TKI discontinuation; however, only 1 discontinued TKI therapy. Unfortunately, soon after discontinuing treatment, the patient had to restart therapy. Additional literature will enhance understanding of therapy discontinuation.
An unexpected finding of TKI discontinuation trials has been a reversible phenomenon known as TKI withdrawal syndrome.9 It can occur regardless of the TKI used and results in pruritus and new or worsening musculoskeletal pain within several weeks of TKI discontinuation in about 30% of patients. Symptoms may last several months and may require acetaminophen or nonsteroidal anti-inflammatory drugs for pain control.9,10,14
The potential cost avoidance of $1.2 million is an underestimation because VA contracts allow for greater cost savings. However, that information is confidential and therefore average wholesale price had to be used for this project. Most of the cost avoidance was due to 4 patients who could not tolerate imatinib and used nilotinib, which is more expensive.
Limitations
The small sample size presented some limitations. Of the 3819 oncology patients within VISN 21 in FY 2024, 186 received a TKI and only 15 were eligible for discontinuation. Additionally, challenges emerged when discussing discontinuation with community care clinicians and patients. Community care clinicians were difficult to contact, making it challenging to discuss the project with them. CPPs noted hesitancy among VA clinicians and patients to discontinue a medication for which adherence was continually emphasized.
Conclusions
Discussions about CML TKI discontinuation led to collaboration with the oncology care team and could lead to significant cost avoidance. Barriers to TKI discontinuation included patients’ concern for relapse, risk of discontinuation syndrome, the requirement for close monitoring, and clinician buy-in. Outcome studies are needed to gain a greater understanding of the benefits and risks of therapy discontinuation. In the future, evaluation of possible clinical and biological predictors of successful TKI discontinuation may be beneficial.
Chronic myeloid leukemia (CML) is a hematologic malignancy resulting from an acquired mutation. The mutation results in a reciprocal translocation between the long arms of chromosomes 9 and 22 and is known as the Philadelphia chromosome (Ph), or Ph-positive (Ph+) when present. The translocation results in the formation of a BCR-ABL fusion oncogene, which leads to continuous cell cycling and proliferation, altered differentiation, and a loss of apoptosis.1,2
Until the 1980s, CML was considered fatal.3 The mainstay of treatment consisted of 2 oral chemotherapeutic agents, busulfan and hydroxyurea. These medications did not prevent blast crisis, a fatal form of leukemia.4,5 The introduction of tyrosine kinase inhibitors (TKIs) transformed CML management and improved 10-year overall survival from about 20% to > 80% by delaying the transition to blast crisis. Now, the risk of death from general health conditions or comorbidities is higher than that of CML.6
TKIs target the root cause of CML through inhibition of the BCR-ABL oncoprotein.1,2 For CML, the goals of treatment include maintaining hematologic, cytogenetic, and molecular remission; preventing progression to accelerated phase or blast crisis; minimizing toxicity; and enabling potential cessation of therapy in carefully selected patients.7,8
Small cohort studies suggest that dose reduction of TKIs in patients who achieve optimal responses may reduce the risk of long-term adverse effects (AEs). However, optimal dose-reduction and minimum effective dose of each agent are unknown.7 The ability to maintain undetectable minimal residual disease or disease detectable at a stable low level after TKI discontinuation has been called treatment-free remission. Studies suggest that about 40% to 50% of patients who have achieved a stable deep molecular response remain in treatment-free remission after stopping first-line treatment.9,10 Of the patients who relapse following TKI discontinuation, 80% relapse within the first 6 months of treatment cessation. Molecular response is regained in almost all patients when treatment is resumed with the same TKI.11
The National Comprehensive Cancer Network (NCCN) recommends considering discontinuation of TKI therapy only outside the setting of a clinical trial and only in patients who consent to discontinuation after a thorough discussion of the potential risks and benefits. The NCCN criteria for patients who may be eligible for discontinuation are listed in Table 1. The Life After Stopping TKIs study reported that 80% of patients with well-controlled chronic phase CML who discontinued TKIs had a clinically meaningful improvement in fatigue. Patients also reported clinically meaningful improvements in depression, diarrhea, sleep disturbance, and pain interference. These symptoms worsened after restarting TKI therapy.12

TKI DISCONTINUATION
Electronic health record data were extracted using structured query language from the US Department of Veterans Affairs (VA) Corporate Data Warehouse (CDW). To be eligible for discontinuation, veterans had to be aged > 18 years, receive oncology care within a Veterans Integrated Services Network (VISN) 21 health care system (HCS) (VA Sierra Nevada HCS, VA Southern Nevada HCS, VA Central California HCS, VA Palo Alto HCS, VA Northern California HCS, and VA San Francisco HCS) or be a veteran referred to a community-based oncology practitioner. Patients had to have a documented diagnosis of chronic phase CML, have an active order for a TKI, be on TKI therapy for ≥ 3 years, and have a stable molecular response (BCR-ABL1 ≤ 0.01% on the International Scale for ≥ 2 years with ≥ 4 tests done ≥ 3 months apart) as of October 1, 2024. Veterans were excluded if they had a history of advanced accelerated phase CML, previous TKI discontinuation trials, nonadherence to the TKI, or if they did not want to consider TKI discontinuation.
This analysis evaluated the potential cost avoidance associated with TKI discontinuation. Cost avoidance was calculated using the average wholesale price of each TKI. Secondary objectives evaluated health outcomes of TKI discontinuation including CML relapse, reported AEs, long-term remission, and TKI withdrawal syndrome. Health outcomes were determined through chart review of AEs and clinic notes documented in the electronic health record during the study time frame.
Baseline information for eligible patients was collected, including age, sex, and race, and chart reviews were completed to evaluate reported AEs associated with therapy. Oncology clinical pharmacy practitioners (CPPs) at each VISN 21 facility were notified of eligible patients to facilitate discussion with oncologists and establish monitoring if therapy was discontinued. Following TKI discontinuation, health outcomes were evaluated, including CML relapse, changes in reported AEs, long-term remission, and TKI withdrawal syndrome. Descriptive statistics were used to analyze the baseline characteristics. Cost avoidance was calculated using the average wholesale price for each TKI. The number of tablets required to reach each patient’s individual dose was taken into consideration when determining the cost avoidance. A dashboard was created using the query from the CDW and was developed in Microsoft Power BI.
Preliminary Results
In FY 2024, VISN 21 had 3819 oncology patients. Twenty-four patients had taken a TKI for ≥ 3 years, 20 had a stable molecular response, and 15 had not previously attempted to discontinue their TKI (Figure 1). Fifteen veterans were eligible for therapy discontinuation for a total potential annual cost avoidance of $1.2 million (Figure 2). Most of the cost avoidance, $935,057 (78%), was attributed to 3 patients on nilotinib. The mean age of the population was 74 years. All patients were male, and 12 (80%) were White. (Table 2). At baseline, 11 patients (73%) were taking imatinib. One patient received oncology care from a community care clinician. All 15 patients decided to remain on therapy.
Abbreviations: CML, chronic myeloid leukemia; TKI, tyrosine kinase inhibitor;
VISN, Veterans Integrated Service Network.
for 15 patients at Veterans Integrated Services Network 21.

DISCUSSION
As a multisite quality improvement initiative, this project raised awareness of TKI therapy discontinuation in select patients with CML. It also sparked collaboration among oncology CPPs and clinicians and stimulated conversations about CML treatment. The development of the TKI discontinuation dashboard provides a population health management tool for CPPs and clinicians to identify eligible patients in the future.
Adherence to TKIs is crucial for disease control and survival in patients with CML. Patients are counseled that poor adherence to therapy may contribute to worsening disease or suboptimal response, the development of resistance, and greater health care costs.13 Therefore, it was a challenge for patients to understand and accept that they could stop TKI therapy after achieving a stable deep molecular response. Discussions with patients about the goal of therapy—suppressing the BCR-ABL oncogene, which they have achieved—could encourage patients to trial therapy discontinuation.
Only small cohort studies have been completed to evaluate the outcomes of therapy discontinuation. Much remains unknown regarding the optimal dose-reduction strategy and the minimum effective dose of each agent. Additionally, understanding the qualities of a good candidate for TKI discontinuation remains a barrier. A similar project was conducted in VISN 17. Five patients were counseled on TKI discontinuation; however, only 1 discontinued TKI therapy. Unfortunately, soon after discontinuing treatment, the patient had to restart therapy. Additional literature will enhance understanding of therapy discontinuation.
An unexpected finding of TKI discontinuation trials has been a reversible phenomenon known as TKI withdrawal syndrome.9 It can occur regardless of the TKI used and results in pruritus and new or worsening musculoskeletal pain within several weeks of TKI discontinuation in about 30% of patients. Symptoms may last several months and may require acetaminophen or nonsteroidal anti-inflammatory drugs for pain control.9,10,14
The potential cost avoidance of $1.2 million is an underestimation because VA contracts allow for greater cost savings. However, that information is confidential and therefore average wholesale price had to be used for this project. Most of the cost avoidance was due to 4 patients who could not tolerate imatinib and used nilotinib, which is more expensive.
Limitations
The small sample size presented some limitations. Of the 3819 oncology patients within VISN 21 in FY 2024, 186 received a TKI and only 15 were eligible for discontinuation. Additionally, challenges emerged when discussing discontinuation with community care clinicians and patients. Community care clinicians were difficult to contact, making it challenging to discuss the project with them. CPPs noted hesitancy among VA clinicians and patients to discontinue a medication for which adherence was continually emphasized.
Conclusions
Discussions about CML TKI discontinuation led to collaboration with the oncology care team and could lead to significant cost avoidance. Barriers to TKI discontinuation included patients’ concern for relapse, risk of discontinuation syndrome, the requirement for close monitoring, and clinician buy-in. Outcome studies are needed to gain a greater understanding of the benefits and risks of therapy discontinuation. In the future, evaluation of possible clinical and biological predictors of successful TKI discontinuation may be beneficial.
- Schiffer CA. BCR-ABL tyrosine kinase inhibitors for chronic myelogenous leukemia. N Engl J Med. 2007;357:258-265. doi:10.1056/NEJMct071828
- Hehlmann R, Hochhaus A, Baccarani M; European LeukemiaNet. Chronic myeloid leukaemia. Lancet. 2007;370:342-350. doi:10.1016/S0140-6736(07)61165-9
- Goldman JM, Melo JV. Chronic myeloid leukemia--advances in biology and new approaches to treatment. N Engl J Med. 2003;349:1451-1464. doi:10.1056/NEJMra020777
- Pasic I, Lipton JH. Current approach to the treatment of chronic myeloid leukaemia. Leuk Res. 2017;55:65-78. doi:10.1016/j.leukres.2017.01.005
- Rao KV, Iannucci A, Jabbour E. Current and future clinical strategies in the management of chronic myeloid leukemia. Pharmacotherapy. 2010;30:77S-101S. doi:10.1592/phco.30.pt2.77S
- Cortes J, Pavlovsky C, Saußele S. Chronic myeloid leukaemia. Lancet. 2021;398:1914-1926. doi:10.1016/S0140-6736(21)01204-6
- National Comprehensive Cancer Network (NCCN). NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines®). Chronic myeloid leukemia. Version 1.2026. July 16, 2025. Accessed February 8, 2026. https://www.nccn.org /guidelines/guidelines-detail?id=1427
- Hochhaus A, Baccarani M, Silver RT, et al. European LeukemiaNet 2020 recommendations for treating chronic myeloid leukemia. Leukemia. 2020;34:966-984. doi:10.1038/s41375-020-0776-2
- Saußele S, Richter J, Hochhaus A, Mahon F-X. The concept of treatment-free remission in chronic myeloid leukemia. Leukemia. 2016;30:1638-1647. doi:10.1038/leu.2016.115
- Atallah E, Sweet K. Treatment-free remission: the new goal in CML therapy. Curr Hematol Malig Rep. 2021;16:433-439. doi:10.1007/s11899-021-00653-1
- Hehlmann R. The new ELN recommendations for treating CML. J Clin Med. 2020;9:3671. doi:10.3390/jcm9113671
- Atallah E, Schiffer CA, Radich JP , et al. Assessment of outcomes after stopping tyrosine kinase inhibitors among patients with chronic myeloid leukemia: a non-randomized clinical trial. JAMA Oncol. 2021;7:42-50. doi:10.1001/jamaoncol.2020.5774
- Breccia M, Efficace F, Alimena G. Imatinib treatment in chronic myelogenous leukemia: what have we learned so far? Cancer Lett. 2011;300:115-121. doi:10.1016/j.canlet.2010.10.018
- Berman E. How I treat chronic-phase chronic myelogenous leukemia. Blood. 2022;139:3138-3147. doi:10.1182/blood.2021011722
- Schiffer CA. BCR-ABL tyrosine kinase inhibitors for chronic myelogenous leukemia. N Engl J Med. 2007;357:258-265. doi:10.1056/NEJMct071828
- Hehlmann R, Hochhaus A, Baccarani M; European LeukemiaNet. Chronic myeloid leukaemia. Lancet. 2007;370:342-350. doi:10.1016/S0140-6736(07)61165-9
- Goldman JM, Melo JV. Chronic myeloid leukemia--advances in biology and new approaches to treatment. N Engl J Med. 2003;349:1451-1464. doi:10.1056/NEJMra020777
- Pasic I, Lipton JH. Current approach to the treatment of chronic myeloid leukaemia. Leuk Res. 2017;55:65-78. doi:10.1016/j.leukres.2017.01.005
- Rao KV, Iannucci A, Jabbour E. Current and future clinical strategies in the management of chronic myeloid leukemia. Pharmacotherapy. 2010;30:77S-101S. doi:10.1592/phco.30.pt2.77S
- Cortes J, Pavlovsky C, Saußele S. Chronic myeloid leukaemia. Lancet. 2021;398:1914-1926. doi:10.1016/S0140-6736(21)01204-6
- National Comprehensive Cancer Network (NCCN). NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines®). Chronic myeloid leukemia. Version 1.2026. July 16, 2025. Accessed February 8, 2026. https://www.nccn.org /guidelines/guidelines-detail?id=1427
- Hochhaus A, Baccarani M, Silver RT, et al. European LeukemiaNet 2020 recommendations for treating chronic myeloid leukemia. Leukemia. 2020;34:966-984. doi:10.1038/s41375-020-0776-2
- Saußele S, Richter J, Hochhaus A, Mahon F-X. The concept of treatment-free remission in chronic myeloid leukemia. Leukemia. 2016;30:1638-1647. doi:10.1038/leu.2016.115
- Atallah E, Sweet K. Treatment-free remission: the new goal in CML therapy. Curr Hematol Malig Rep. 2021;16:433-439. doi:10.1007/s11899-021-00653-1
- Hehlmann R. The new ELN recommendations for treating CML. J Clin Med. 2020;9:3671. doi:10.3390/jcm9113671
- Atallah E, Schiffer CA, Radich JP , et al. Assessment of outcomes after stopping tyrosine kinase inhibitors among patients with chronic myeloid leukemia: a non-randomized clinical trial. JAMA Oncol. 2021;7:42-50. doi:10.1001/jamaoncol.2020.5774
- Breccia M, Efficace F, Alimena G. Imatinib treatment in chronic myelogenous leukemia: what have we learned so far? Cancer Lett. 2011;300:115-121. doi:10.1016/j.canlet.2010.10.018
- Berman E. How I treat chronic-phase chronic myelogenous leukemia. Blood. 2022;139:3138-3147. doi:10.1182/blood.2021011722
Potential Tyrosine Kinase Inhibitor Therapy Discontinuation for Patients With Chronic Myeloid Leukemia in a VA Regional Network
Potential Tyrosine Kinase Inhibitor Therapy Discontinuation for Patients With Chronic Myeloid Leukemia in a VA Regional Network
New Scheduler Connects Veterans to Community Care Faster
New Scheduler Connects Veterans to Community Care Faster
The US Department of Veterans Affairs (VA) has adopted new technology designed to make it easier and faster for veterans to schedule appointments with community care health care practitioners (HCPs).
Through the External Provider Scheduling (EPS) system, VA employees can access the scheduling systems of participating community care HCPs. As of March 2026, 27,000 community care HCPs were participating in EPS across 78 medical specialties.
Without this system, VA employees have to call multiple community care HCPs and relay that information back to veterans before booking an appointment. As a result, a single VA employee could only schedule a handful of community care appointments per day, and it could take days or even weeks to book an appointment for a veteran.
Now, the new system—implemented in all VA facilities starting in late 2025—enables VA employees to schedule as many as 25 appointments daily.
“We are making it easier and more convenient than ever for those who have worn the uniform to choose the care that best fits their lifestyle,” VA Secretary Doug Collins said in a news release.
The VA goal is to sign up thousands of additional community care HCPs in 2026 as part of its continuing efforts to deliver timely, veteran-centered care. There is no cost for institutions to participate in the program.
Select Medical, an outpatient rehabilitation organization with > 1900 centers in 39 states and the District of Columbia, became aware of this opportunity in the first half of 2025: “At that time, we met with key VA stakeholders to learn more about the new program, the challenges it would address, and how it worked to evaluate our ability to participate,” said Chad Smith, president of the company’s outpatient division, headquartered in Mechanicsburg, Pennsylvania.
“We immediately saw the value in what the VA was seeking to accomplish and wanted to be part of providing increased access to exceptional care for our nation’s veterans,” Smith said.
In July 2025, Smith noted, Select Medical piloted the program in 2 states. After successful deployment, the organization broadened its participation to 15 states, offering “seamless access to care” to > 3000 veterans. They receive outpatient rehabilitative care, including physical and occupational therapy.
“The External Provider Scheduling system creates a more streamlined way for veterans and VA administrators to manage the appointment process,” Smith said.
Northwell Health in Lake Success, New York, expressed interest in the program last summer when approached by the VA and “jumped at it,” said Juan Serrano, MBA, MS, vice president of military liaison services at Northwell Health.
The Long Island-based system, which already had a long-standing relationship with the VA, rolled out the program to give veterans the ability to see community care HCPs, Serrano said.
The program started in November, with the first appointment booked in December. From then until the end of April, the program booked 69 appointments for almost 80 veterans, with gastroenterology and otolaryngology representing the highest volume specialties.
Veterans also have gained entry to several other specialty clinics, including imaging services. The program has decreased waiting times for veterans’ appointments and helped them establish rapport with community care HCPs, Serrano said.
“One of the biggest setbacks and difficulties veterans experience is timely access to care outside of the VA,” he said, adding, “as an organization, we made a pledge to create a pathway for veterans to complement the work of the VA and give veterans access to our network.”
The US Department of Veterans Affairs (VA) has adopted new technology designed to make it easier and faster for veterans to schedule appointments with community care health care practitioners (HCPs).
Through the External Provider Scheduling (EPS) system, VA employees can access the scheduling systems of participating community care HCPs. As of March 2026, 27,000 community care HCPs were participating in EPS across 78 medical specialties.
Without this system, VA employees have to call multiple community care HCPs and relay that information back to veterans before booking an appointment. As a result, a single VA employee could only schedule a handful of community care appointments per day, and it could take days or even weeks to book an appointment for a veteran.
Now, the new system—implemented in all VA facilities starting in late 2025—enables VA employees to schedule as many as 25 appointments daily.
“We are making it easier and more convenient than ever for those who have worn the uniform to choose the care that best fits their lifestyle,” VA Secretary Doug Collins said in a news release.
The VA goal is to sign up thousands of additional community care HCPs in 2026 as part of its continuing efforts to deliver timely, veteran-centered care. There is no cost for institutions to participate in the program.
Select Medical, an outpatient rehabilitation organization with > 1900 centers in 39 states and the District of Columbia, became aware of this opportunity in the first half of 2025: “At that time, we met with key VA stakeholders to learn more about the new program, the challenges it would address, and how it worked to evaluate our ability to participate,” said Chad Smith, president of the company’s outpatient division, headquartered in Mechanicsburg, Pennsylvania.
“We immediately saw the value in what the VA was seeking to accomplish and wanted to be part of providing increased access to exceptional care for our nation’s veterans,” Smith said.
In July 2025, Smith noted, Select Medical piloted the program in 2 states. After successful deployment, the organization broadened its participation to 15 states, offering “seamless access to care” to > 3000 veterans. They receive outpatient rehabilitative care, including physical and occupational therapy.
“The External Provider Scheduling system creates a more streamlined way for veterans and VA administrators to manage the appointment process,” Smith said.
Northwell Health in Lake Success, New York, expressed interest in the program last summer when approached by the VA and “jumped at it,” said Juan Serrano, MBA, MS, vice president of military liaison services at Northwell Health.
The Long Island-based system, which already had a long-standing relationship with the VA, rolled out the program to give veterans the ability to see community care HCPs, Serrano said.
The program started in November, with the first appointment booked in December. From then until the end of April, the program booked 69 appointments for almost 80 veterans, with gastroenterology and otolaryngology representing the highest volume specialties.
Veterans also have gained entry to several other specialty clinics, including imaging services. The program has decreased waiting times for veterans’ appointments and helped them establish rapport with community care HCPs, Serrano said.
“One of the biggest setbacks and difficulties veterans experience is timely access to care outside of the VA,” he said, adding, “as an organization, we made a pledge to create a pathway for veterans to complement the work of the VA and give veterans access to our network.”
The US Department of Veterans Affairs (VA) has adopted new technology designed to make it easier and faster for veterans to schedule appointments with community care health care practitioners (HCPs).
Through the External Provider Scheduling (EPS) system, VA employees can access the scheduling systems of participating community care HCPs. As of March 2026, 27,000 community care HCPs were participating in EPS across 78 medical specialties.
Without this system, VA employees have to call multiple community care HCPs and relay that information back to veterans before booking an appointment. As a result, a single VA employee could only schedule a handful of community care appointments per day, and it could take days or even weeks to book an appointment for a veteran.
Now, the new system—implemented in all VA facilities starting in late 2025—enables VA employees to schedule as many as 25 appointments daily.
“We are making it easier and more convenient than ever for those who have worn the uniform to choose the care that best fits their lifestyle,” VA Secretary Doug Collins said in a news release.
The VA goal is to sign up thousands of additional community care HCPs in 2026 as part of its continuing efforts to deliver timely, veteran-centered care. There is no cost for institutions to participate in the program.
Select Medical, an outpatient rehabilitation organization with > 1900 centers in 39 states and the District of Columbia, became aware of this opportunity in the first half of 2025: “At that time, we met with key VA stakeholders to learn more about the new program, the challenges it would address, and how it worked to evaluate our ability to participate,” said Chad Smith, president of the company’s outpatient division, headquartered in Mechanicsburg, Pennsylvania.
“We immediately saw the value in what the VA was seeking to accomplish and wanted to be part of providing increased access to exceptional care for our nation’s veterans,” Smith said.
In July 2025, Smith noted, Select Medical piloted the program in 2 states. After successful deployment, the organization broadened its participation to 15 states, offering “seamless access to care” to > 3000 veterans. They receive outpatient rehabilitative care, including physical and occupational therapy.
“The External Provider Scheduling system creates a more streamlined way for veterans and VA administrators to manage the appointment process,” Smith said.
Northwell Health in Lake Success, New York, expressed interest in the program last summer when approached by the VA and “jumped at it,” said Juan Serrano, MBA, MS, vice president of military liaison services at Northwell Health.
The Long Island-based system, which already had a long-standing relationship with the VA, rolled out the program to give veterans the ability to see community care HCPs, Serrano said.
The program started in November, with the first appointment booked in December. From then until the end of April, the program booked 69 appointments for almost 80 veterans, with gastroenterology and otolaryngology representing the highest volume specialties.
Veterans also have gained entry to several other specialty clinics, including imaging services. The program has decreased waiting times for veterans’ appointments and helped them establish rapport with community care HCPs, Serrano said.
“One of the biggest setbacks and difficulties veterans experience is timely access to care outside of the VA,” he said, adding, “as an organization, we made a pledge to create a pathway for veterans to complement the work of the VA and give veterans access to our network.”
New Scheduler Connects Veterans to Community Care Faster
New Scheduler Connects Veterans to Community Care Faster
Perioperative Considerations for Orthopedic Surgery in a Geriatric Population
Perioperative Considerations for Orthopedic Surgery in a Geriatric Population
More than 40 million surgeries are performed annually in the United States, of which > 18 million are orthopedic, including > 1 million emergency orthopedic surgeries and > 2 million joint replacements.1-4 Notably, > 50% of patients undergoing orthopedic surgery are aged ≥ 65 years, a demographic shift driven by longer life expectancies and an increasing number of older adults remaining physically active for extended periods.5 Osteoarthritis, the most common joint disease, affects 10% of men and 18% of women aged > 60 years, often necessitating an orthopedic joint replacement.6 Perioperative morbidity and mortality are 2.9- to 6.7-times higher in older adults compared with younger adults.7 These risks include infection, venous thromboembolism (VTE), pressure ulcers, reduced mobility, and increased mortality. Due to the high incidence of these complications in older surgical patients, special perioperative protocols and considerations are needed when preparing an older patient for surgery. This review aims to establish concrete considerations and guidelines for perioperative management.
METHODOLOGY
A literature review of PubMed, Google Scholar, and IEEE Xplore identified research on perioperative challenges in geriatric orthopedic surgery. Keywords included geriatrics and orthopedic surgery, perioperative care in geriatric populations, and orthopedic perioperative care. Inclusion criteria were strictly defined to ensure relevance to the geriatric population, with studies focusing on patients aged ≥ 65 years. Exclusion criteria were applied to remove studies that did not involve geriatric populations or orthopedic surgeries or that lacked a clear perioperative focus. Studies were analyzed for design, interventions, and outcomes. Special attention was given to identifying common challenges and trends related to perioperative considerations. We developed a narrative report providing a comprehensive overview of the current understanding of perioperative care for geriatric orthopedic patients to offer practical recommendations for clinicians to use in their practice.
RESULTS
Consistent with the narrative review methodology described, the literature search yielded a broad range of publications addressing perioperative considerations in geriatric orthopedic patients. Articles were screened for relevance to patients aged ≥ 65 years undergoing orthopedic surgery and for applicability to perioperative optimization and postoperative outcomes. Given the heterogeneity in study design, population characteristics, and outcome reporting, findings are presented descriptively rather than being quantitatively pooled. Studies not focused on geriatric populations, orthopedic procedures, or perioperative management were excluded. Key themes included multimorbidity and comorbidity optimization, age-related physiologic changes, frailty assessment and fracture risk stratification, nutritional and bone health management, mechanism of injury considerations, prevention of postoperative complications, and the role of multidisciplinary perioperative care.
Unique Physiological Challenges
The aging process induces a range of physiological changes that can increase morbidity and mortality following surgery. One of the most essential elements to surgical recovery is wound healing, as impairments in this process can lead to adverse events, including infection, cosmetic deformity, and wound dehiscence. The general paradigm of aging involves cell senescence resulting in slower or disorganized functional capacity of these cells.8 While wound healing in older individuals was once thought to be defective, recent research has demonstrated that this process is not absent, but delayed.9
Wound healing is a tightly regulated and evolutionarily conserved process that proceeds through 3 main phases: inflammation, proliferation, and remodeling. Re-epithelialization begins with the migration of epithelial cells from hair follicles, sweat glands, or wound margins (depending on wound depth) and is influenced by oxygen levels, moisture, and growth factors.9 Several characteristics of aged skin contribute to the delayed healing process. Aged skin has fewer hair follicles and eccrine sweat glands, as well as decreased follicle thickness.10 This results in fewer proliferating cells for wound healing and lower amounts of sebum production for skin moisture.11 Furthermore, aged fibroblasts are fewer in number and less effective in synthesizing extracellular matrices, resulting in slower and less tensile wound healing.12 Additionally, microvascular changes associated with aging result in disorganized vasculature, which impairs oxygen delivery to the wound bed and diminishes the influx of proinflammatory cells necessary for effective healing.13 These senescent traits of aged skin contribute to the delayed wound healing process found in geriatric patients.
Compounding these age-related factors is the prevalence of multimorbidity, or coexisting chronic diagnoses, in 55% to 98% of older patients.14 Common comorbidities include peripheral arterial disease, chronic venous insufficiency, type 1 and type 2 diabetes, neoplasms, atherosclerotic disease, and hypertension. Older patients are more likely to be prescribed corticosteroids and chemotherapeutic agents that impair the function of inflammatory cells necessary for wound healing.15,16 Additionally, decreased mobility is more common in geriatric patients, which can increase the risk of wound formation, particularly pressure ulcers.17
Perioperative Considerations
All surgical patients undergo a formal or informal preoperative evaluation to assess their fitness for surgery, with the goal of minimizing both anesthesia-related risks and postoperative complications. A widely used tool in this assessment is the American Society of Anesthesiologists (ASA) physical status classification, which stratifies patients into 6 categories based on their medical history and overall health status.18 Classes range from healthy patients (Class I) to organ donors who are brain-dead (Class VI).
Cardiac optimization is an essential component of preoperative evaluation for older adults due to their higher risk of underlying cardiovascular disease.19 This process involves an in-depth review of the patient’s cardiac history, including the timing and nature of any prior interventions and the recurrence rate. Functional capacity is assessed through metabolic equivalents, where a threshold of > 4 metabolic equivalents (the ability to walk up a flight of stairs) is considered adequate for surgery. Risk is assessed based on the specific surgical procedure, and nonemergent orthopedic procedures are considered intermediate risk. If a patient is deemed high risk at any stage of this evaluation, further cardiac testing is indicated.
Pulmonary optimization is typically necessary for geriatric patients, who are more likely to have conditions such as chronic obstructive pulmonary disease or interstitial lung disease.14,20 In patients without severe systemic lung disease, pulmonary optimization involves assessing the functional expiratory volume and diffusing capacity for carbon monoxide. In addition, aggressive modification of risk factors, such as smoking cessation, is strongly recommended.
Additional perioperative conditions are disease-specific and involve evaluation of comorbid illnesses and recognition of absolute contraindications to noncardiac surgery. For instance, an ejection fraction of < 35%, a history of myocardial infarction within 6 months, or active diabetic ketoacidosis are all absolute contraindications to elective surgery. For orthopedic procedures, additional contraindications include symptomatic bacteremia, active joint or local tissue infection, severe malnutrition, uncontrolled metabolic syndrome or chronic disease, untreated immunodeficiency, and active deep venous thrombosis (DVT) or pulmonary embolism.21
Bone Health and Nutrition
In the context of orthopedic surgery, the hallmark of clinically defined optimal bone health is a musculoskeletal system that provides the ability for pain-free functional and occupational tasks with an adequate capacity to withstand the mechanical forces imparted by everyday life. Back pain and arthritis are the fourth- and sixth-most common complaints in primary care, underscoring suboptimal bone health management in developed countries.22
Optimizing bone health through proper nutrition is crucial in the perioperative management of geriatric orthopedic patients. The clinical diagnosis of malnutrition has well-studied associations with worse outcomes after orthopedic surgery, which include increased mortality, hospital length of stay, readmission rates, and health institution spending.23-25 Some studies show that up to 60% of geriatric patients may be malnourished.26
Regarding vitamin and mineral supplements, the general consensus before orthopedic surgery is that vitamins A, C, D, and E, and zinc are predictive in determining postoperative health.27 However, Curtis et al state that therapy should be targeted at correcting relative deficiencies; supraphysiologic concentrations of these vitamins do not appear to be helpful.27 This claim may merit serum studies to rule out deficiencies. Dietitians should be involved in the creation of a patient care plan in the spirit of multidisciplinary orthopedic surgery approaches, which have proven to result in superior patient outcomes.28 Additionally, directive counseling should be provided when necessary.
In patients with adequately managed nutrition, 7 to 10 days of diet optimization is typically sufficient, but patients with malnutrition may require sustained nutritional support for up to 6 weeks; a standardized time for adequate nutrition supplementation has not been identified.25-27 Postoperative management is similar in older patients who are malnourished and those receiving adequate nutrition after orthopedic surgery, which typically involves 3 weeks of a high-protein diet.26
Evaluating Mechanisms of Injury
Assessing the mechanism of injury (MOI) is essential to developing an appropriate and successful orthopedic treatment plan. MOI is typically categorized as low energy, which consists of ground-level falls and other minor trauma, or high energy, which can include motor vehicle crashes or falls from a height.29 Unlike younger patients who typically experience trauma from high-energy MOIs, geriatric patients often sustain fractures from low-energy MOIs. The importance of assessing MOI for the geriatric population is magnified as it provides vital clues that not only help determine the nature of the injury, but also highlight underlying frailty, comorbidities, and potential complications. Weakness or deconditioning related to older age is often not discovered before trauma, which is why assessing the MOI can provide valuable information regarding overall patient health.30
The MOI of trauma also is correlated with factors that influence postoperative recovery and overall prognosis (Figure). Falls comprise more than three-quarters of the MOI in geriatric patients with trauma, and > 90% of these falls are ground-level or other simple falls.30 Falls secondary to an intrinsic disorder, rather than an extrinsic environmental hazard, are more common in geriatric patients.31
These events may be associated with an underlying medical condition, such as osteopenia, osteoporosis, or neuromuscular disorders, such as Parkinson disease.32 They may also be attributed to normal age-related changes, such as decreased visual acuity, reduced reaction time, or mild cognitive impairment.30 An estimated 6% to 35% of geriatric patients who present to the emergency department have some degree of cognitive dysfunction.33 Accordingly, a thorough understanding of the events leading up to injury is vital for the management of older patients. Knowing the specific circumstances of a fall can provide insight into the patient’s gait, balance, and need for further investigations such as cognitive screening or evaluation of home safety. This information can guide decisions regarding preoperative optimization of medications and postoperative rehabilitation interventions.
Frailty and Risk of Fracture
Frailty is a clinical syndrome defined by overall decreased capacity for the body’s adaptive changes to various stressors.34 It is a common condition in geriatric populations due to cumulative degenerative changes and multisystem decline over a lifetime’s worth of disruptions to natural homeostasis.34 In orthopedics, frailty typically refers to musculoskeletal durability and resilience in response to mechanical forces (ie, falls, trauma, and high-acceleration movements). Globally, > 200 million people have osteoporotic frailty, leading to 9 million hip fractures annually.35 More than 30% of people aged ≥ 65 years fall ≥ 1 time per calendar year.36
Assessing frailty in geriatric patients undergoing orthopedic surgery is vital, as it predisposes patients to higher rates of morbidity, mortality, and institutionalization, particularly from falls and resultant fragility fractures.37-39 This is true for a wide range of orthopedic procedures, spanning elective to urgent surgeries and involving the axial and appendicular skeleton.40,41 Given the high rates of fractures, subsequent patient morbidity, and financial burden on the health care system, effective frailty screening is essential.
There are many strategies to assess frailty risk and subsequent fracture risk.42 Questionnaires or online medical calculators serve as easy-to-use tools for assessment of frailty or associated predictors of fragility fractures. Validated assessment tools are provided in Table 1.
Dual-emission X-ray absorptiometry is a well-established way to determine bone density and establish fracture risk. The Fried Frailty Phenotype score and Short Performance Physical Battery test are clinically applicable methods of assessing frailty in older outpatient populations. Although these examinations focus on different aspects of the patient, they have moderate agreeability, are sensitive, and can be readily performed in the clinical setting as demonstrated by a > 90% patient participation rate for both methods.42 Finally, several serum studies can be predictive of frailty, the most readily modifiable of which are vitamin D3, ferritin, albumin, and calcium.43 Although they are more invasive for the patient, serum studies can provide additional modifiable targets for perioperative optimization and contribute to risk stratification.
Risk stratification should take place around 6 weeks before surgery, which should provide adequate time for rectification of preoperative barriers to elective surgical intervention—namely nutritional status. In cases of urgent or emergent procedures (ie, femoral neck fracture with concern for avascular necrosis of the femoral head), this may not be possible but should be conducted nonetheless for patient-specific postoperative rehabilitation and risk reduction.
Postoperative Complication Risks
Postoperative complications affect nearly 15% of geriatric orthopedic patients, highlighting the need for comprehensive preoperative evaluations to assess risk factors.44 Age-related physiological changes, frailty, and comorbidities complicate recovery and management (Table 2).
Wound healing is impaired in older individuals due to suboptimal circulation and decreased oxygenation that is secondary to age-related changes, as well as the increased likelihood of comorbid conditions (eg, diabetes).7 Surgical site infections can be particularly malicious in geriatric patients, with a 4% incidence.45,46 Hospitalization can be prolonged by a mean 2 weeks, which increases the risk of hospital-associated delirium and iatrogenic complications.46 Both the mortality rate and costs associated with hospitalization are higher for older patients who develop surgical site infections compared with patients aged < 65 years, underscoring the importance of vigilant monitoring, early detection, and effective preoperative screening to identify and manage modifiable risk factors.47
Postoperative delirium is another common complication of orthopedic surgery in the geriatric population, increasing morbidity and mortality. The incidence is reported to be as high as 53.3% in the trauma setting and 28.3% in the elective setting, indicating a need to assess patient risk preoperatively.48,49 Several factors contribute to the high incidence of delirium, including advanced age, longer surgical durations, intraoperative hypotension and hypercapnia, pre-existing cognitive dysfunction, and postoperative sleep disorders.50
VTE is another common cause of complications following orthopedic surgery. The development of DVT can lead to subsequent pulmonary embolism, which can be fatal. Orthopedic surgery patients are already at higher risk of DVT and VTE than other surgical patients, with an incidence as high as 40% to 60%, though it is frequently asymptomatic.51,52 Geriatric patients may be more likely to have concurrent comorbidities that increase hypercoagulability.53 Congestive heart failure, chronic kidney disease, and cardiovascular disease are all more common in older individuals and can increase the risk of VTE by 2-fold.53 While anticoagulation is the standard of care to prevent VTE after orthopedic surgery, geriatric patients require more careful monitoring due to the higher incidence of bleeding complications. Additionally, early postoperative mobilization is critical to reduce the risk of DVT without significantly increasing pain or causing other adverse events.54
Respiratory complications are common after orthopedic surgery, particularly atelectasis and bronchospasm, which can result from intraoperative mechanical ventilation.55 While these conditions are typically self-limiting, more severe respiratory issues such as pneumonia are a significant concern because they may lead to the need for mechanical ventilation and admission to the intensive care unit (ICU). The more severe complications have an incidence of about 1% to 2% in orthopedic surgery patients.56 Preventive strategies, such as respiratory physiotherapy and guided breathing exercises, are crucial to minimize perioperative pulmonary complications and promote optimal recovery. Addressing these challenges through early intervention is essential to improve outcomes.
Multidisciplinary Perioperative Care
Multidisciplinary care in orthopedic surgery involves collaborative management of patient care by general practitioners, surgeons, anesthesiologists, dietitians, physical and occupational therapists, inpatient health care practitioners (HCPs), and social services. The goal of this form of care is to provide a longitudinal sequence of health-optimization tactics that prepare a patient for surgery and give them the best chance of postoperative recovery.
Given that many aspects of geriatric health play a role in orthopedic postoperative outcomes, there are many preoperative factors to consider. As previously discussed, preoperative evaluation of geriatric patients should include nutritional and fragility screening to determine surgical candidacy and target modifiable risk factors for risk reduction. This screening can be conducted by primary care practitioners and orthopedic surgeons in an outpatient setting. A multidisciplinary approach benefits patients by decreasing time to surgery.35
Several large studies have demonstrated the positive influence of a multidisciplinary approach on patient-oriented outcomes in orthopedic patients. Incorporation of this style of care in contrast to surgeon-led perioperative optimization leads to fewer floor and ICU admissions, shorter lengths of stay, and decreased mortality rates.35,57 These findings are broadly applicable to a wide range of orthopedic surgeries and even surgeries outside of the musculoskeletal system.58,59 In addition, this strategy has demonstrated reduced in-hospital health care costs due to shorter lengths of stay and fewer ICU admissions. Physical and occupational therapy also have irreplaceable roles in outcomes after orthopedic surgeries. They have independently been shown to decrease pain, increase range of motion, and increase functionality in daily life.60 These aspects of recovery are essential for geriatric well-being.
Screening Tools
The World Health Organization FRAX fracture risk assessment tool (www.fraxplus.org/calculation-tool) was developed to identify patients at high risk of fracture and subsequent complications and to guide clinical decision-making regarding pharmacologic interventions.61 FRAX calculates the 10-year probability of fracture based on demographic factors, such as age and body mass index, clinical measures (eg, femoral neck bone mineral density), and risk factors (eg, prior fragility fractures, substance use history, and prolonged glucocorticoid use).61 The online tool is easy to use, making it a valuable resource for assessing fracture risk and determining appropriate treatment strategies.
The fatigue, resistance, ambulation, illnesses, loss of weight (FRAIL) scale assesses frailty in older adults. The scale classifies patients into 3 categories: robust, prefrail, and frail. The frail category is associated with an increased frequency of hip fracture and an elevated ASA class.62 Additionally, the FRAIL scale has demonstrated value in predicting hospital length of stay and the risk of postoperative complications.62 It also has shown utility in quantifying frailty status, which is traditionally challenging to assess systematically.63
The Mini-Cog is commonly used in geriatric populations to screen for cognitive impairment. Preoperative Mini-Cog screening has been shown to predict the development of postoperative complications.64 Geriatric patients who screened positive for cognitive impairment prior to orthopedic surgery were more likely to develop postoperative delirium, require alternative discharge disposition, and have a longer hospital length of stay.64 Mini-Cog serves as an important preoperative tool for identifying patients who may benefit from closer postoperative monitoring and tailored care.
The Comprehensive Geriatric Assessment (CGA) is a multidimensional evaluation that has been validated for use in geriatric patients undergoing orthopedic surgery.65 The CGA assesses functional status and the ability to perform activities of daily living (ADLs), such as eating, dressing, and ambulating. Poor ADLs are associated with increased risk of falls and cardiopulmonary complications. The CGA allows HCPs to identify patients at higher risk of complications and tailor interventions that optimize functional recovery during the perioperative period.
Nutritional screening is another component of preoperative evaluation in older adults undergoing orthopedic surgery. The Perioperative Nutrition Screen is a preoperative phone assessment of unintentional weight loss in the past 6 months.66 Patients who screen positive are asked to come in for a preoperative visit with a registered dietitian who can further evaluate the nutritional status of the patient.
The Mini Nutritional Assessment Short Form (MNA-SF), Malnutrition Universal Screening Tool, and Nutrition Risk Screening 2002 have all been validated for use in older patients undergoing orthopedic surgery. Among these, the MNA-SF has demonstrated superior utility in predicting hospital readmission and mortality.67 Given the established links between malnutrition and poor surgical outcomes, routine nutritional screening is important for identifying geriatric patients who may require preoperative nutritional interventions.
CONCLUSIONS AND RECOMMENDATIONS
Perioperative management of geriatric patients undergoing orthopedic surgery requires an assessment and strategy focused on risk stratification, patient optimization, and mitigation of potential complications and mortality. Due to the complexity and comprehensive nature of an optimal perioperative plan, creating the plan early is essential to ensure adequate time for patient optimization and care coordination.
Nutrition plays a critical role in the success of surgical procedures, and orthopedics is no exception. Extra care should be taken to preoperatively optimize patient bone health before surgical intervention to enhance recovery and reduce the risk of complications. After an appropriate patient history and clinical picture are gathered, screening tools should be used on a case-by-case basis to further characterize comorbid conditions that may contribute to suboptimal outcomes. Additionally, given the proven association between frailty and fracture risk, frailty serves as a readily quantifiable predictor of patient-oriented outcomes. This should be assessed preoperatively with appropriate risk-stratification tools to determine appropriate postoperative measures to prevent morbidity and mortality.
Orthopedic surgery is increasingly common in geriatric patients, who face higher perioperative risks due to age-related physiological changes, multimorbidity, and frailty. Optimizing preoperative assessment and adopting a multidisciplinary approach—integrating surgeons, anesthesiologists, physical therapists, and dietitians—can improve outcomes, reduce complications, and enhance recovery. The successful use of the tools and strategies outlined in this article by primary care should facilitate access to and recovery from orthopedic surgery in the geriatric population.
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United States (US) orthopedic procedures count by segments and forecast to 2030. GlobalData. February 17, 2023. Accessed April 29, 2026. https://www.globaldata.com/store/report/usa-orthopedic-procedures-analysis/
Jarman MP, Weaver MJ, Haider AH, Salim A, Harris MB. The national burden of orthopedic injury: cross-sectional estimates for trauma system planning and optimization. J Surg Res. 2020;249:197-204. doi:10.1016/j.jss.2019.12.023
Hegde V, Stambough JB, Levine BR, et al. Highlights of the 2022 American Joint Replacement Registry Annual Report. Arthroplast Today. 2023;21:101137. doi:10.1016/j.artd.2023.101137
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Kremer M, Burkemper N. Aging skin and wound healing. Clin Geriatr Med. 2024;40:1-10. doi:10.1016/j.cger.2023.06.001
Fenske NA, Lober CW. Structural and functional changes of normal aging skin. J Am Acad Dermatol. 1986;15:571-585. doi:10.1016/S0190-9622(86)70208-9
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Salzer MC, Lafzi A, Berenguer-Llergo A, et al. Identity noise and adipogenic traits characterize dermal fibroblast aging. Cell. 2018;175:1575-1590.e22. doi:10.1016/j.cell.2018.10.012
Jin K. A microcirculatory theory of aging. Aging Dis. 2019;10:676-683. doi:10.14336/AD.2019.0315
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Waljee AK, Rogers MAM, Lin P, et al. Short term use of oral corticosteroids and related harms among adults in the United States: population based cohort study. BMJ. 2017;357:j1415. doi:10.1136/bmj.j1415
Given B, Given CW. Older adults and cancer treatment. Cancer. 2008;113:3505-3511. doi:10.1002/cncr.23939
Ferrucci L, Cooper R, Shardell M, Simonsick EM, Schrack JA, Kuh D. Age-related change in mobility: perspectives from life course epidemiology and geroscience. J Gerontol A Biol Sci Med Sci. 2016;71:1184-1194. doi:10.1093/gerona/glw043
Mayhew D, Mendonca V, Murthy BVS. A review of ASA physical status - historical perspectives and modern developments. Anaesthesia. 2019;74:373-379. doi:10.1111/anae.14569
Eagle KA, Berger PB, Calkins H, et al. ACC/AHA guideline update for perioperative cardiovascular evaluation for noncardiac surgery—executive summary a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee to Update the 1996 Guidelines on Perioperative Cardiovascular Evaluation for Noncardiac Surgery). Circulation. 2002;105:1257-1267. doi:10.1161/circ.105.10.1257
Bapoje SR, Whitaker JF, Schulz T, Chu ES, Albert RK. Preoperative evaluation of the patient with pulmonary disease. Chest. 2007;132:1637-1645. doi:10.1378/chest.07-0347
Choe H, Indelli PF, Ricciardi B, et al. What are the absolute contraindications for elective total knee or hip arthroplasty? J Arthroplasty. 2025;40(2 suppl 1):S45-S47. doi:10.1016/j.arth.2024.10.041
Finley CR, Chan DS, Garrison S, et al. What are the most common conditions in primary care? Systematic review. Can Fam Physician. 2018;64:832-840.
Vaid S, Bell T, Grim R, Ahuja V. Predicting risk of death in general surgery patients on the basis of preoperative variables using American College of Surgeons National Surgical Quality Improvement Program data. Perm J. 2012;16:10-17. doi:10.7812/TPP/12-019
Correia MTD, Waitzberg DL. The impact of malnutrition on morbidity, mortality, length of hospital stay and costs evaluated through a multivariate model analysis. Clin Nutr. 2003;22:235-239. doi:10.1016/S0261-5614(02)00215-7
Friedman J, Lussiez A, Sullivan J, Wang S, Englesbe M. Implications of sarcopenia in major surgery. Nutr Clin Pract. 2015;30:175-179. doi:10.1177/0884533615569888
Hirsch KR, Wolfe RR, Ferrando AA. Pre- and post-surgical nutrition for preservation of muscle mass, strength, and functionality following orthopedic surgery. Nutrients. 2021;13:1675. doi:10.3390/nu13051675
Curtis W, Choi T, Ahmad A, Shultz C. Perioperative nutritional considerations in orthopaedic surgery: a review of the literature. West J Orthop. 2023;12:1. https://digitalrepository.unm.edu/wjo/vol12/iss1/1
Wischmeyer PE, Carli F, Evans DC, et al. American Society for Enhanced Recovery and Perioperative Quality Initiative joint consensus statement on nutrition screening and therapy within a surgical enhanced recovery pathway. Anesth Analg. 2018;126:1883-1895. doi:10.1213/ANE.0000000000002743
Mun F, Ringenbach K, Baer B, et al. Factors influencing geriatric orthopaedic trauma mortality. Injury. 2022;53:919-924. doi:10.1016/j.injury.2022.01.005
Bonne S, Schuerer DJE. Trauma in the older adult: epidemiology and evolving geriatric trauma principles. Clin Geriatr Med. 2013;29:137-150. doi:10.1016/j.cger.2012.10.008
Montero-Odasso MM. Falls as a geriatric syndrome: mechanisms and risk identification. In: Duque G, Kiel DP, eds. Osteoporosis in Older Persons: Advances in Pathophysiology and Therapeutic Approaches. 2nd ed. Springer International Publishing; 2016:171-186. doi:10.1007/978-3-319-25976-5_10
Lach HW, Reed AT, Arfken CL, et al. Falls in the elderly: reliability of a classification system. J Am Geriatr Soc. 1991;39:197-202. doi:10.1111/j.1532-5415.1991.tb01626.x
Carpenter CR, DesPain B, Keeling TN, Shah M, Rothenberger M. The six-item screener and AD8 for the detection of cognitive impairment in geriatric emergency department patients. Ann Emerg Med. 2011;57:653-661. doi:10.1016/j.annemergmed.2010.06.560
Clegg A, Young J, Iliffe S, Rikkert MO, Rockwood K. Frailty in elderly people. Lancet. 2013;381:752-762. doi:10.1016/S0140-6736(12)62167-9
Patel JN, Klein DS, Sreekumar S, Liporace FA, Yoon RS. Outcomes in multidisciplinary team-based approach in geriatric hip fracture care: a systematic review. J Am Acad Orthop Surg. 2020;28:128-133. doi:10.5435/JAAOS-D-18-00425
Amador LF, Loera JA. Preventing postoperative falls in the older adult. J Am Coll Surg. 2007;204:447-453. doi:10.1016/j.jamcollsurg.2006.12.010
Tembo MC, Holloway-Kew KL, Mohebbi M, et al. The association between a fracture risk tool and frailty: Geelong Osteoporosis Study. BMC Geriatr. 2020;20:196. doi:10.1186/s12877-020-01595-8
Demiris¸ B, Basat S, Kurt F, Aksakal B, Basat O. Evaluation of the relationship between frailty and fracture risk using Fracture Risk Assessment Tool in patients 65 years and over. South Clin Istanb Eurasia. 2023;34:42-48. doi:10.14744/scie.2022.66564
Partridge JSL, Harari D, Dhesi JK. Frailty in the older surgical patient: a review. Age Ageing. 2012;41:142-147. doi:10.1093/ageing/afr182
Mamtora PH, Fortier MA, Barnett SR, Schmid LN, Kain ZN. Peri-operative management of frailty in the orthopedic patient. J Orthop. 2020;22:304-307. doi:10.1016/j.jor.2020.05.024
Leven DM, Lee NJ, Kim JS, et al. Frailty is predictive of adverse postoperative events in patients undergoing lumbar fusion. Global Spine J. 2017;7:529-535. doi:10.1177/2192568217700099
Pritchard JM, Kennedy CC, Karampatos S, et al. Measuring frailty in clinical practice: a comparison of physical frailty assessment methods in a geriatric out-patient clinic. BMC Geriatr. 2017;17:264. doi:10.1186/s12877-017-0623-0
Kumar A, Dhar M, Agarwal M, Mukherjee A, Saxena V. Predictors of frailty in the elderly population: a cross-sectional study at a tertiary care center. Cureus. 2022;14:e30557. doi:10.7759/cureus.30557
Scarano KA, Philp FH, Westrick ER, Altman GT, Altman DT. Evaluating postoperative complications and outcomes of orthopedic fracture repair in nonagenarian patients. Geriatr Orthop Surg Rehabil. 2018;9:2151459318758106. doi:10.1177/2151459318758106
Liang Z, Rong K, Gu W, et al. Surgical site infection following elective orthopaedic surgeries in geriatric patients: incidence and associated risk factors. Int Wound J. 2019;16:773-780. doi:10.1111/iwj.13096
Ren M, Liang W, Wu Z, Zhao H, Wang J. Risk factors of surgical site infection in geriatric orthopedic surgery: a retrospective multicenter cohort study. Geriatr Gerontol Int. 2019;19:213-217. doi:10.1111/ggi.13590
Kaye KS, Schmader KE, Sawyer R. Surgical site infection in the elderly population. Clin Infect Dis. 2004;39:1835-1841. doi:10.1086/425744
Bruce AJ, Ritchie CW, Blizard R, Lai R, Raven P. The incidence of delirium associated with orthopedic surgery: a meta-analytic review. Int Psychogeriatr. 2007;19:197-214. doi:10.1017/S104161020600425X
Williams-Russo P, Urquhart BL, Sharrock NE, Charlson ME. Post-operative delirium: predictors and prognosis in elderly orthopedic patients. J Am Geriatr Soc. 1992;40:759-767. doi:10.1111/j.1532-5415.1992.tb01846.x
Wang J, Li Z, Yu Y, Li B, Shao G, Wang Q. Risk factors contributing to postoperative delirium in geriatric patients postorthopedic surgery. Asia Pac Psychiatry. 2015;7:375-382. doi:10.1111/appy.12193
Geerts WH, Pineo GF, Heit JA, et al. Prevention of venous thromboembolism: the Seventh ACCP Conference on Antithrombotic and Thrombolytic Therapy. Chest. 2004;126:338S-400S. doi:10.1378/chest.126.3_suppl.338S
Kahn SR, Shivakumar S. What’s new in VTE risk and prevention in orthopedic surgery. Res Pract Thromb Haemost. 2020;4:366-376. doi:10.1002/rth2.12323
Uzel K, Azboy I·, Parvizi J. Venous thromboembolism in orthopedic surgery: global guidelines. Acta Orthop Traumatol Turc. 2023;57:192-203. doi:10.5152/j.aott.2023.23074
Peck M, Holthaus A, Kingsbury K, Salsberry MG, Duggirala V. Mobility in acute care for geriatric patients with orthopedic conditions: a review of recent literature. Curr Geri Rep. 2020;9:300-310. doi:10.1007/s13670-020-00347-1
Leme LEG, Sitta MC, Toledo M, Henriques SS. Orthopedic surgery among the elderly: clinical characteristics. Rev Bras Ortop. 2015;46:238-246. doi:10.1016/S2255-4971(15)30189-0
Malcolm TL, Knezevic NN, Zouki CC, Tharian AR. Pulmonary complications after hip and knee arthroplasty in the United States, 2004-2014. Anesth Analg. 2020;130:917-924. doi:10.1213/ANE.0000000000004265
Kamal T, Conway RM, Littlejohn I, Ricketts D. The role of a multidisciplinary pre-assessment clinic in reducing mortality after complex orthopaedic surgery. Ann R Coll Surg Engl. 2011;93:149-151. doi:10.1308/003588411X561026
Davis MJ, Luu BC, Raj S, Abu-Ghname A, Buchanan EP. Multidisciplinary care in surgery: Are team-based interventions cost-effective? Surgeon. 2021;19:49-60. doi:10.1016/j.surge.2020.02.005
Frassanito L, Vergari A, Nestorini R, et al. Enhanced recovery after surgery (ERAS) in hip and knee replacement surgery: description of a multidisciplinary program to improve management of the patients undergoing major orthopedic surgery. Musculoskelet Surg. 2020;104:87-92. doi:10.1007/s12306-019-00603-4
Reddy RS, Alahmari KA, Alshahrani MS, et al. Exploring the impact of physiotherapy on health outcomes in older adults with chronic diseases: a cross-sectional analysis. Front Public Health. 2024;12:1415882. doi:10.3389/fpubh.2024.1415882
Watts NB. The Fracture Risk Assessment Tool (FRAX®): applications in clinical practice. J Womens Health (Larchmt). 2011;20:525-531. doi:10.1089/jwh.2010.2294
Gleason LJ, Benton EA, Alvarez-Nebreda ML, Weaver MJ, Harris MB, Javedan H. FRAIL questionnaire screening tool and short-term outcomes in geriatric fracture patients. J Am Med Dir Assoc. 2017;18:1082-1086. doi:10.1016/j.jamda.2017.07.005
Kojima G. Frailty defined by FRAIL scale as a predictor of mortality: a systematic review and meta-analysis. J Am Med Dir Assoc. 2018;19:480-483. doi:10.1016/j.jamda.2018.04.006
Culley DJ, Flaherty D, Fahey MC, et al. Poor performance on a preoperative cognitive screening test predicts postoperative complications in older orthopedic surgical patients. Anesthesiology. 2017;127:765-774. doi:10.1097/ALN.0000000000001859
Kong C, Zhang Y, Wang C, et al. Comprehensive geriatric assessment for older orthopedic patients and analysis of risk factors for postoperative complications. BMC Geriatr. 2022;22:644. doi:10.1186/s12877-022-03328-5
Williams DGA, Wischmeyer PE. Perioperative nutrition care of orthopedic surgery patient. Tech Orthop. 2020;35:15-18. doi:10.1097/BTO.0000000000000412
Koren-Hakim T, Weiss A, Hershkovitz A, et al. Comparing the adequacy of the MNA-SF, NRS-2002 and MUST nutritional tools in assessing malnutrition in hip fracture operated elderly patients. Clin Nutr. 2016;35:1053-1058. doi:10.1016/j.clnu.2015.07.014
More than 40 million surgeries are performed annually in the United States, of which > 18 million are orthopedic, including > 1 million emergency orthopedic surgeries and > 2 million joint replacements.1-4 Notably, > 50% of patients undergoing orthopedic surgery are aged ≥ 65 years, a demographic shift driven by longer life expectancies and an increasing number of older adults remaining physically active for extended periods.5 Osteoarthritis, the most common joint disease, affects 10% of men and 18% of women aged > 60 years, often necessitating an orthopedic joint replacement.6 Perioperative morbidity and mortality are 2.9- to 6.7-times higher in older adults compared with younger adults.7 These risks include infection, venous thromboembolism (VTE), pressure ulcers, reduced mobility, and increased mortality. Due to the high incidence of these complications in older surgical patients, special perioperative protocols and considerations are needed when preparing an older patient for surgery. This review aims to establish concrete considerations and guidelines for perioperative management.
METHODOLOGY
A literature review of PubMed, Google Scholar, and IEEE Xplore identified research on perioperative challenges in geriatric orthopedic surgery. Keywords included geriatrics and orthopedic surgery, perioperative care in geriatric populations, and orthopedic perioperative care. Inclusion criteria were strictly defined to ensure relevance to the geriatric population, with studies focusing on patients aged ≥ 65 years. Exclusion criteria were applied to remove studies that did not involve geriatric populations or orthopedic surgeries or that lacked a clear perioperative focus. Studies were analyzed for design, interventions, and outcomes. Special attention was given to identifying common challenges and trends related to perioperative considerations. We developed a narrative report providing a comprehensive overview of the current understanding of perioperative care for geriatric orthopedic patients to offer practical recommendations for clinicians to use in their practice.
RESULTS
Consistent with the narrative review methodology described, the literature search yielded a broad range of publications addressing perioperative considerations in geriatric orthopedic patients. Articles were screened for relevance to patients aged ≥ 65 years undergoing orthopedic surgery and for applicability to perioperative optimization and postoperative outcomes. Given the heterogeneity in study design, population characteristics, and outcome reporting, findings are presented descriptively rather than being quantitatively pooled. Studies not focused on geriatric populations, orthopedic procedures, or perioperative management were excluded. Key themes included multimorbidity and comorbidity optimization, age-related physiologic changes, frailty assessment and fracture risk stratification, nutritional and bone health management, mechanism of injury considerations, prevention of postoperative complications, and the role of multidisciplinary perioperative care.
Unique Physiological Challenges
The aging process induces a range of physiological changes that can increase morbidity and mortality following surgery. One of the most essential elements to surgical recovery is wound healing, as impairments in this process can lead to adverse events, including infection, cosmetic deformity, and wound dehiscence. The general paradigm of aging involves cell senescence resulting in slower or disorganized functional capacity of these cells.8 While wound healing in older individuals was once thought to be defective, recent research has demonstrated that this process is not absent, but delayed.9
Wound healing is a tightly regulated and evolutionarily conserved process that proceeds through 3 main phases: inflammation, proliferation, and remodeling. Re-epithelialization begins with the migration of epithelial cells from hair follicles, sweat glands, or wound margins (depending on wound depth) and is influenced by oxygen levels, moisture, and growth factors.9 Several characteristics of aged skin contribute to the delayed healing process. Aged skin has fewer hair follicles and eccrine sweat glands, as well as decreased follicle thickness.10 This results in fewer proliferating cells for wound healing and lower amounts of sebum production for skin moisture.11 Furthermore, aged fibroblasts are fewer in number and less effective in synthesizing extracellular matrices, resulting in slower and less tensile wound healing.12 Additionally, microvascular changes associated with aging result in disorganized vasculature, which impairs oxygen delivery to the wound bed and diminishes the influx of proinflammatory cells necessary for effective healing.13 These senescent traits of aged skin contribute to the delayed wound healing process found in geriatric patients.
Compounding these age-related factors is the prevalence of multimorbidity, or coexisting chronic diagnoses, in 55% to 98% of older patients.14 Common comorbidities include peripheral arterial disease, chronic venous insufficiency, type 1 and type 2 diabetes, neoplasms, atherosclerotic disease, and hypertension. Older patients are more likely to be prescribed corticosteroids and chemotherapeutic agents that impair the function of inflammatory cells necessary for wound healing.15,16 Additionally, decreased mobility is more common in geriatric patients, which can increase the risk of wound formation, particularly pressure ulcers.17
Perioperative Considerations
All surgical patients undergo a formal or informal preoperative evaluation to assess their fitness for surgery, with the goal of minimizing both anesthesia-related risks and postoperative complications. A widely used tool in this assessment is the American Society of Anesthesiologists (ASA) physical status classification, which stratifies patients into 6 categories based on their medical history and overall health status.18 Classes range from healthy patients (Class I) to organ donors who are brain-dead (Class VI).
Cardiac optimization is an essential component of preoperative evaluation for older adults due to their higher risk of underlying cardiovascular disease.19 This process involves an in-depth review of the patient’s cardiac history, including the timing and nature of any prior interventions and the recurrence rate. Functional capacity is assessed through metabolic equivalents, where a threshold of > 4 metabolic equivalents (the ability to walk up a flight of stairs) is considered adequate for surgery. Risk is assessed based on the specific surgical procedure, and nonemergent orthopedic procedures are considered intermediate risk. If a patient is deemed high risk at any stage of this evaluation, further cardiac testing is indicated.
Pulmonary optimization is typically necessary for geriatric patients, who are more likely to have conditions such as chronic obstructive pulmonary disease or interstitial lung disease.14,20 In patients without severe systemic lung disease, pulmonary optimization involves assessing the functional expiratory volume and diffusing capacity for carbon monoxide. In addition, aggressive modification of risk factors, such as smoking cessation, is strongly recommended.
Additional perioperative conditions are disease-specific and involve evaluation of comorbid illnesses and recognition of absolute contraindications to noncardiac surgery. For instance, an ejection fraction of < 35%, a history of myocardial infarction within 6 months, or active diabetic ketoacidosis are all absolute contraindications to elective surgery. For orthopedic procedures, additional contraindications include symptomatic bacteremia, active joint or local tissue infection, severe malnutrition, uncontrolled metabolic syndrome or chronic disease, untreated immunodeficiency, and active deep venous thrombosis (DVT) or pulmonary embolism.21
Bone Health and Nutrition
In the context of orthopedic surgery, the hallmark of clinically defined optimal bone health is a musculoskeletal system that provides the ability for pain-free functional and occupational tasks with an adequate capacity to withstand the mechanical forces imparted by everyday life. Back pain and arthritis are the fourth- and sixth-most common complaints in primary care, underscoring suboptimal bone health management in developed countries.22
Optimizing bone health through proper nutrition is crucial in the perioperative management of geriatric orthopedic patients. The clinical diagnosis of malnutrition has well-studied associations with worse outcomes after orthopedic surgery, which include increased mortality, hospital length of stay, readmission rates, and health institution spending.23-25 Some studies show that up to 60% of geriatric patients may be malnourished.26
Regarding vitamin and mineral supplements, the general consensus before orthopedic surgery is that vitamins A, C, D, and E, and zinc are predictive in determining postoperative health.27 However, Curtis et al state that therapy should be targeted at correcting relative deficiencies; supraphysiologic concentrations of these vitamins do not appear to be helpful.27 This claim may merit serum studies to rule out deficiencies. Dietitians should be involved in the creation of a patient care plan in the spirit of multidisciplinary orthopedic surgery approaches, which have proven to result in superior patient outcomes.28 Additionally, directive counseling should be provided when necessary.
In patients with adequately managed nutrition, 7 to 10 days of diet optimization is typically sufficient, but patients with malnutrition may require sustained nutritional support for up to 6 weeks; a standardized time for adequate nutrition supplementation has not been identified.25-27 Postoperative management is similar in older patients who are malnourished and those receiving adequate nutrition after orthopedic surgery, which typically involves 3 weeks of a high-protein diet.26
Evaluating Mechanisms of Injury
Assessing the mechanism of injury (MOI) is essential to developing an appropriate and successful orthopedic treatment plan. MOI is typically categorized as low energy, which consists of ground-level falls and other minor trauma, or high energy, which can include motor vehicle crashes or falls from a height.29 Unlike younger patients who typically experience trauma from high-energy MOIs, geriatric patients often sustain fractures from low-energy MOIs. The importance of assessing MOI for the geriatric population is magnified as it provides vital clues that not only help determine the nature of the injury, but also highlight underlying frailty, comorbidities, and potential complications. Weakness or deconditioning related to older age is often not discovered before trauma, which is why assessing the MOI can provide valuable information regarding overall patient health.30
The MOI of trauma also is correlated with factors that influence postoperative recovery and overall prognosis (Figure). Falls comprise more than three-quarters of the MOI in geriatric patients with trauma, and > 90% of these falls are ground-level or other simple falls.30 Falls secondary to an intrinsic disorder, rather than an extrinsic environmental hazard, are more common in geriatric patients.31
These events may be associated with an underlying medical condition, such as osteopenia, osteoporosis, or neuromuscular disorders, such as Parkinson disease.32 They may also be attributed to normal age-related changes, such as decreased visual acuity, reduced reaction time, or mild cognitive impairment.30 An estimated 6% to 35% of geriatric patients who present to the emergency department have some degree of cognitive dysfunction.33 Accordingly, a thorough understanding of the events leading up to injury is vital for the management of older patients. Knowing the specific circumstances of a fall can provide insight into the patient’s gait, balance, and need for further investigations such as cognitive screening or evaluation of home safety. This information can guide decisions regarding preoperative optimization of medications and postoperative rehabilitation interventions.
Frailty and Risk of Fracture
Frailty is a clinical syndrome defined by overall decreased capacity for the body’s adaptive changes to various stressors.34 It is a common condition in geriatric populations due to cumulative degenerative changes and multisystem decline over a lifetime’s worth of disruptions to natural homeostasis.34 In orthopedics, frailty typically refers to musculoskeletal durability and resilience in response to mechanical forces (ie, falls, trauma, and high-acceleration movements). Globally, > 200 million people have osteoporotic frailty, leading to 9 million hip fractures annually.35 More than 30% of people aged ≥ 65 years fall ≥ 1 time per calendar year.36
Assessing frailty in geriatric patients undergoing orthopedic surgery is vital, as it predisposes patients to higher rates of morbidity, mortality, and institutionalization, particularly from falls and resultant fragility fractures.37-39 This is true for a wide range of orthopedic procedures, spanning elective to urgent surgeries and involving the axial and appendicular skeleton.40,41 Given the high rates of fractures, subsequent patient morbidity, and financial burden on the health care system, effective frailty screening is essential.
There are many strategies to assess frailty risk and subsequent fracture risk.42 Questionnaires or online medical calculators serve as easy-to-use tools for assessment of frailty or associated predictors of fragility fractures. Validated assessment tools are provided in Table 1.
Dual-emission X-ray absorptiometry is a well-established way to determine bone density and establish fracture risk. The Fried Frailty Phenotype score and Short Performance Physical Battery test are clinically applicable methods of assessing frailty in older outpatient populations. Although these examinations focus on different aspects of the patient, they have moderate agreeability, are sensitive, and can be readily performed in the clinical setting as demonstrated by a > 90% patient participation rate for both methods.42 Finally, several serum studies can be predictive of frailty, the most readily modifiable of which are vitamin D3, ferritin, albumin, and calcium.43 Although they are more invasive for the patient, serum studies can provide additional modifiable targets for perioperative optimization and contribute to risk stratification.
Risk stratification should take place around 6 weeks before surgery, which should provide adequate time for rectification of preoperative barriers to elective surgical intervention—namely nutritional status. In cases of urgent or emergent procedures (ie, femoral neck fracture with concern for avascular necrosis of the femoral head), this may not be possible but should be conducted nonetheless for patient-specific postoperative rehabilitation and risk reduction.
Postoperative Complication Risks
Postoperative complications affect nearly 15% of geriatric orthopedic patients, highlighting the need for comprehensive preoperative evaluations to assess risk factors.44 Age-related physiological changes, frailty, and comorbidities complicate recovery and management (Table 2).
Wound healing is impaired in older individuals due to suboptimal circulation and decreased oxygenation that is secondary to age-related changes, as well as the increased likelihood of comorbid conditions (eg, diabetes).7 Surgical site infections can be particularly malicious in geriatric patients, with a 4% incidence.45,46 Hospitalization can be prolonged by a mean 2 weeks, which increases the risk of hospital-associated delirium and iatrogenic complications.46 Both the mortality rate and costs associated with hospitalization are higher for older patients who develop surgical site infections compared with patients aged < 65 years, underscoring the importance of vigilant monitoring, early detection, and effective preoperative screening to identify and manage modifiable risk factors.47
Postoperative delirium is another common complication of orthopedic surgery in the geriatric population, increasing morbidity and mortality. The incidence is reported to be as high as 53.3% in the trauma setting and 28.3% in the elective setting, indicating a need to assess patient risk preoperatively.48,49 Several factors contribute to the high incidence of delirium, including advanced age, longer surgical durations, intraoperative hypotension and hypercapnia, pre-existing cognitive dysfunction, and postoperative sleep disorders.50
VTE is another common cause of complications following orthopedic surgery. The development of DVT can lead to subsequent pulmonary embolism, which can be fatal. Orthopedic surgery patients are already at higher risk of DVT and VTE than other surgical patients, with an incidence as high as 40% to 60%, though it is frequently asymptomatic.51,52 Geriatric patients may be more likely to have concurrent comorbidities that increase hypercoagulability.53 Congestive heart failure, chronic kidney disease, and cardiovascular disease are all more common in older individuals and can increase the risk of VTE by 2-fold.53 While anticoagulation is the standard of care to prevent VTE after orthopedic surgery, geriatric patients require more careful monitoring due to the higher incidence of bleeding complications. Additionally, early postoperative mobilization is critical to reduce the risk of DVT without significantly increasing pain or causing other adverse events.54
Respiratory complications are common after orthopedic surgery, particularly atelectasis and bronchospasm, which can result from intraoperative mechanical ventilation.55 While these conditions are typically self-limiting, more severe respiratory issues such as pneumonia are a significant concern because they may lead to the need for mechanical ventilation and admission to the intensive care unit (ICU). The more severe complications have an incidence of about 1% to 2% in orthopedic surgery patients.56 Preventive strategies, such as respiratory physiotherapy and guided breathing exercises, are crucial to minimize perioperative pulmonary complications and promote optimal recovery. Addressing these challenges through early intervention is essential to improve outcomes.
Multidisciplinary Perioperative Care
Multidisciplinary care in orthopedic surgery involves collaborative management of patient care by general practitioners, surgeons, anesthesiologists, dietitians, physical and occupational therapists, inpatient health care practitioners (HCPs), and social services. The goal of this form of care is to provide a longitudinal sequence of health-optimization tactics that prepare a patient for surgery and give them the best chance of postoperative recovery.
Given that many aspects of geriatric health play a role in orthopedic postoperative outcomes, there are many preoperative factors to consider. As previously discussed, preoperative evaluation of geriatric patients should include nutritional and fragility screening to determine surgical candidacy and target modifiable risk factors for risk reduction. This screening can be conducted by primary care practitioners and orthopedic surgeons in an outpatient setting. A multidisciplinary approach benefits patients by decreasing time to surgery.35
Several large studies have demonstrated the positive influence of a multidisciplinary approach on patient-oriented outcomes in orthopedic patients. Incorporation of this style of care in contrast to surgeon-led perioperative optimization leads to fewer floor and ICU admissions, shorter lengths of stay, and decreased mortality rates.35,57 These findings are broadly applicable to a wide range of orthopedic surgeries and even surgeries outside of the musculoskeletal system.58,59 In addition, this strategy has demonstrated reduced in-hospital health care costs due to shorter lengths of stay and fewer ICU admissions. Physical and occupational therapy also have irreplaceable roles in outcomes after orthopedic surgeries. They have independently been shown to decrease pain, increase range of motion, and increase functionality in daily life.60 These aspects of recovery are essential for geriatric well-being.
Screening Tools
The World Health Organization FRAX fracture risk assessment tool (www.fraxplus.org/calculation-tool) was developed to identify patients at high risk of fracture and subsequent complications and to guide clinical decision-making regarding pharmacologic interventions.61 FRAX calculates the 10-year probability of fracture based on demographic factors, such as age and body mass index, clinical measures (eg, femoral neck bone mineral density), and risk factors (eg, prior fragility fractures, substance use history, and prolonged glucocorticoid use).61 The online tool is easy to use, making it a valuable resource for assessing fracture risk and determining appropriate treatment strategies.
The fatigue, resistance, ambulation, illnesses, loss of weight (FRAIL) scale assesses frailty in older adults. The scale classifies patients into 3 categories: robust, prefrail, and frail. The frail category is associated with an increased frequency of hip fracture and an elevated ASA class.62 Additionally, the FRAIL scale has demonstrated value in predicting hospital length of stay and the risk of postoperative complications.62 It also has shown utility in quantifying frailty status, which is traditionally challenging to assess systematically.63
The Mini-Cog is commonly used in geriatric populations to screen for cognitive impairment. Preoperative Mini-Cog screening has been shown to predict the development of postoperative complications.64 Geriatric patients who screened positive for cognitive impairment prior to orthopedic surgery were more likely to develop postoperative delirium, require alternative discharge disposition, and have a longer hospital length of stay.64 Mini-Cog serves as an important preoperative tool for identifying patients who may benefit from closer postoperative monitoring and tailored care.
The Comprehensive Geriatric Assessment (CGA) is a multidimensional evaluation that has been validated for use in geriatric patients undergoing orthopedic surgery.65 The CGA assesses functional status and the ability to perform activities of daily living (ADLs), such as eating, dressing, and ambulating. Poor ADLs are associated with increased risk of falls and cardiopulmonary complications. The CGA allows HCPs to identify patients at higher risk of complications and tailor interventions that optimize functional recovery during the perioperative period.
Nutritional screening is another component of preoperative evaluation in older adults undergoing orthopedic surgery. The Perioperative Nutrition Screen is a preoperative phone assessment of unintentional weight loss in the past 6 months.66 Patients who screen positive are asked to come in for a preoperative visit with a registered dietitian who can further evaluate the nutritional status of the patient.
The Mini Nutritional Assessment Short Form (MNA-SF), Malnutrition Universal Screening Tool, and Nutrition Risk Screening 2002 have all been validated for use in older patients undergoing orthopedic surgery. Among these, the MNA-SF has demonstrated superior utility in predicting hospital readmission and mortality.67 Given the established links between malnutrition and poor surgical outcomes, routine nutritional screening is important for identifying geriatric patients who may require preoperative nutritional interventions.
CONCLUSIONS AND RECOMMENDATIONS
Perioperative management of geriatric patients undergoing orthopedic surgery requires an assessment and strategy focused on risk stratification, patient optimization, and mitigation of potential complications and mortality. Due to the complexity and comprehensive nature of an optimal perioperative plan, creating the plan early is essential to ensure adequate time for patient optimization and care coordination.
Nutrition plays a critical role in the success of surgical procedures, and orthopedics is no exception. Extra care should be taken to preoperatively optimize patient bone health before surgical intervention to enhance recovery and reduce the risk of complications. After an appropriate patient history and clinical picture are gathered, screening tools should be used on a case-by-case basis to further characterize comorbid conditions that may contribute to suboptimal outcomes. Additionally, given the proven association between frailty and fracture risk, frailty serves as a readily quantifiable predictor of patient-oriented outcomes. This should be assessed preoperatively with appropriate risk-stratification tools to determine appropriate postoperative measures to prevent morbidity and mortality.
Orthopedic surgery is increasingly common in geriatric patients, who face higher perioperative risks due to age-related physiological changes, multimorbidity, and frailty. Optimizing preoperative assessment and adopting a multidisciplinary approach—integrating surgeons, anesthesiologists, physical therapists, and dietitians—can improve outcomes, reduce complications, and enhance recovery. The successful use of the tools and strategies outlined in this article by primary care should facilitate access to and recovery from orthopedic surgery in the geriatric population.
More than 40 million surgeries are performed annually in the United States, of which > 18 million are orthopedic, including > 1 million emergency orthopedic surgeries and > 2 million joint replacements.1-4 Notably, > 50% of patients undergoing orthopedic surgery are aged ≥ 65 years, a demographic shift driven by longer life expectancies and an increasing number of older adults remaining physically active for extended periods.5 Osteoarthritis, the most common joint disease, affects 10% of men and 18% of women aged > 60 years, often necessitating an orthopedic joint replacement.6 Perioperative morbidity and mortality are 2.9- to 6.7-times higher in older adults compared with younger adults.7 These risks include infection, venous thromboembolism (VTE), pressure ulcers, reduced mobility, and increased mortality. Due to the high incidence of these complications in older surgical patients, special perioperative protocols and considerations are needed when preparing an older patient for surgery. This review aims to establish concrete considerations and guidelines for perioperative management.
METHODOLOGY
A literature review of PubMed, Google Scholar, and IEEE Xplore identified research on perioperative challenges in geriatric orthopedic surgery. Keywords included geriatrics and orthopedic surgery, perioperative care in geriatric populations, and orthopedic perioperative care. Inclusion criteria were strictly defined to ensure relevance to the geriatric population, with studies focusing on patients aged ≥ 65 years. Exclusion criteria were applied to remove studies that did not involve geriatric populations or orthopedic surgeries or that lacked a clear perioperative focus. Studies were analyzed for design, interventions, and outcomes. Special attention was given to identifying common challenges and trends related to perioperative considerations. We developed a narrative report providing a comprehensive overview of the current understanding of perioperative care for geriatric orthopedic patients to offer practical recommendations for clinicians to use in their practice.
RESULTS
Consistent with the narrative review methodology described, the literature search yielded a broad range of publications addressing perioperative considerations in geriatric orthopedic patients. Articles were screened for relevance to patients aged ≥ 65 years undergoing orthopedic surgery and for applicability to perioperative optimization and postoperative outcomes. Given the heterogeneity in study design, population characteristics, and outcome reporting, findings are presented descriptively rather than being quantitatively pooled. Studies not focused on geriatric populations, orthopedic procedures, or perioperative management were excluded. Key themes included multimorbidity and comorbidity optimization, age-related physiologic changes, frailty assessment and fracture risk stratification, nutritional and bone health management, mechanism of injury considerations, prevention of postoperative complications, and the role of multidisciplinary perioperative care.
Unique Physiological Challenges
The aging process induces a range of physiological changes that can increase morbidity and mortality following surgery. One of the most essential elements to surgical recovery is wound healing, as impairments in this process can lead to adverse events, including infection, cosmetic deformity, and wound dehiscence. The general paradigm of aging involves cell senescence resulting in slower or disorganized functional capacity of these cells.8 While wound healing in older individuals was once thought to be defective, recent research has demonstrated that this process is not absent, but delayed.9
Wound healing is a tightly regulated and evolutionarily conserved process that proceeds through 3 main phases: inflammation, proliferation, and remodeling. Re-epithelialization begins with the migration of epithelial cells from hair follicles, sweat glands, or wound margins (depending on wound depth) and is influenced by oxygen levels, moisture, and growth factors.9 Several characteristics of aged skin contribute to the delayed healing process. Aged skin has fewer hair follicles and eccrine sweat glands, as well as decreased follicle thickness.10 This results in fewer proliferating cells for wound healing and lower amounts of sebum production for skin moisture.11 Furthermore, aged fibroblasts are fewer in number and less effective in synthesizing extracellular matrices, resulting in slower and less tensile wound healing.12 Additionally, microvascular changes associated with aging result in disorganized vasculature, which impairs oxygen delivery to the wound bed and diminishes the influx of proinflammatory cells necessary for effective healing.13 These senescent traits of aged skin contribute to the delayed wound healing process found in geriatric patients.
Compounding these age-related factors is the prevalence of multimorbidity, or coexisting chronic diagnoses, in 55% to 98% of older patients.14 Common comorbidities include peripheral arterial disease, chronic venous insufficiency, type 1 and type 2 diabetes, neoplasms, atherosclerotic disease, and hypertension. Older patients are more likely to be prescribed corticosteroids and chemotherapeutic agents that impair the function of inflammatory cells necessary for wound healing.15,16 Additionally, decreased mobility is more common in geriatric patients, which can increase the risk of wound formation, particularly pressure ulcers.17
Perioperative Considerations
All surgical patients undergo a formal or informal preoperative evaluation to assess their fitness for surgery, with the goal of minimizing both anesthesia-related risks and postoperative complications. A widely used tool in this assessment is the American Society of Anesthesiologists (ASA) physical status classification, which stratifies patients into 6 categories based on their medical history and overall health status.18 Classes range from healthy patients (Class I) to organ donors who are brain-dead (Class VI).
Cardiac optimization is an essential component of preoperative evaluation for older adults due to their higher risk of underlying cardiovascular disease.19 This process involves an in-depth review of the patient’s cardiac history, including the timing and nature of any prior interventions and the recurrence rate. Functional capacity is assessed through metabolic equivalents, where a threshold of > 4 metabolic equivalents (the ability to walk up a flight of stairs) is considered adequate for surgery. Risk is assessed based on the specific surgical procedure, and nonemergent orthopedic procedures are considered intermediate risk. If a patient is deemed high risk at any stage of this evaluation, further cardiac testing is indicated.
Pulmonary optimization is typically necessary for geriatric patients, who are more likely to have conditions such as chronic obstructive pulmonary disease or interstitial lung disease.14,20 In patients without severe systemic lung disease, pulmonary optimization involves assessing the functional expiratory volume and diffusing capacity for carbon monoxide. In addition, aggressive modification of risk factors, such as smoking cessation, is strongly recommended.
Additional perioperative conditions are disease-specific and involve evaluation of comorbid illnesses and recognition of absolute contraindications to noncardiac surgery. For instance, an ejection fraction of < 35%, a history of myocardial infarction within 6 months, or active diabetic ketoacidosis are all absolute contraindications to elective surgery. For orthopedic procedures, additional contraindications include symptomatic bacteremia, active joint or local tissue infection, severe malnutrition, uncontrolled metabolic syndrome or chronic disease, untreated immunodeficiency, and active deep venous thrombosis (DVT) or pulmonary embolism.21
Bone Health and Nutrition
In the context of orthopedic surgery, the hallmark of clinically defined optimal bone health is a musculoskeletal system that provides the ability for pain-free functional and occupational tasks with an adequate capacity to withstand the mechanical forces imparted by everyday life. Back pain and arthritis are the fourth- and sixth-most common complaints in primary care, underscoring suboptimal bone health management in developed countries.22
Optimizing bone health through proper nutrition is crucial in the perioperative management of geriatric orthopedic patients. The clinical diagnosis of malnutrition has well-studied associations with worse outcomes after orthopedic surgery, which include increased mortality, hospital length of stay, readmission rates, and health institution spending.23-25 Some studies show that up to 60% of geriatric patients may be malnourished.26
Regarding vitamin and mineral supplements, the general consensus before orthopedic surgery is that vitamins A, C, D, and E, and zinc are predictive in determining postoperative health.27 However, Curtis et al state that therapy should be targeted at correcting relative deficiencies; supraphysiologic concentrations of these vitamins do not appear to be helpful.27 This claim may merit serum studies to rule out deficiencies. Dietitians should be involved in the creation of a patient care plan in the spirit of multidisciplinary orthopedic surgery approaches, which have proven to result in superior patient outcomes.28 Additionally, directive counseling should be provided when necessary.
In patients with adequately managed nutrition, 7 to 10 days of diet optimization is typically sufficient, but patients with malnutrition may require sustained nutritional support for up to 6 weeks; a standardized time for adequate nutrition supplementation has not been identified.25-27 Postoperative management is similar in older patients who are malnourished and those receiving adequate nutrition after orthopedic surgery, which typically involves 3 weeks of a high-protein diet.26
Evaluating Mechanisms of Injury
Assessing the mechanism of injury (MOI) is essential to developing an appropriate and successful orthopedic treatment plan. MOI is typically categorized as low energy, which consists of ground-level falls and other minor trauma, or high energy, which can include motor vehicle crashes or falls from a height.29 Unlike younger patients who typically experience trauma from high-energy MOIs, geriatric patients often sustain fractures from low-energy MOIs. The importance of assessing MOI for the geriatric population is magnified as it provides vital clues that not only help determine the nature of the injury, but also highlight underlying frailty, comorbidities, and potential complications. Weakness or deconditioning related to older age is often not discovered before trauma, which is why assessing the MOI can provide valuable information regarding overall patient health.30
The MOI of trauma also is correlated with factors that influence postoperative recovery and overall prognosis (Figure). Falls comprise more than three-quarters of the MOI in geriatric patients with trauma, and > 90% of these falls are ground-level or other simple falls.30 Falls secondary to an intrinsic disorder, rather than an extrinsic environmental hazard, are more common in geriatric patients.31
These events may be associated with an underlying medical condition, such as osteopenia, osteoporosis, or neuromuscular disorders, such as Parkinson disease.32 They may also be attributed to normal age-related changes, such as decreased visual acuity, reduced reaction time, or mild cognitive impairment.30 An estimated 6% to 35% of geriatric patients who present to the emergency department have some degree of cognitive dysfunction.33 Accordingly, a thorough understanding of the events leading up to injury is vital for the management of older patients. Knowing the specific circumstances of a fall can provide insight into the patient’s gait, balance, and need for further investigations such as cognitive screening or evaluation of home safety. This information can guide decisions regarding preoperative optimization of medications and postoperative rehabilitation interventions.
Frailty and Risk of Fracture
Frailty is a clinical syndrome defined by overall decreased capacity for the body’s adaptive changes to various stressors.34 It is a common condition in geriatric populations due to cumulative degenerative changes and multisystem decline over a lifetime’s worth of disruptions to natural homeostasis.34 In orthopedics, frailty typically refers to musculoskeletal durability and resilience in response to mechanical forces (ie, falls, trauma, and high-acceleration movements). Globally, > 200 million people have osteoporotic frailty, leading to 9 million hip fractures annually.35 More than 30% of people aged ≥ 65 years fall ≥ 1 time per calendar year.36
Assessing frailty in geriatric patients undergoing orthopedic surgery is vital, as it predisposes patients to higher rates of morbidity, mortality, and institutionalization, particularly from falls and resultant fragility fractures.37-39 This is true for a wide range of orthopedic procedures, spanning elective to urgent surgeries and involving the axial and appendicular skeleton.40,41 Given the high rates of fractures, subsequent patient morbidity, and financial burden on the health care system, effective frailty screening is essential.
There are many strategies to assess frailty risk and subsequent fracture risk.42 Questionnaires or online medical calculators serve as easy-to-use tools for assessment of frailty or associated predictors of fragility fractures. Validated assessment tools are provided in Table 1.
Dual-emission X-ray absorptiometry is a well-established way to determine bone density and establish fracture risk. The Fried Frailty Phenotype score and Short Performance Physical Battery test are clinically applicable methods of assessing frailty in older outpatient populations. Although these examinations focus on different aspects of the patient, they have moderate agreeability, are sensitive, and can be readily performed in the clinical setting as demonstrated by a > 90% patient participation rate for both methods.42 Finally, several serum studies can be predictive of frailty, the most readily modifiable of which are vitamin D3, ferritin, albumin, and calcium.43 Although they are more invasive for the patient, serum studies can provide additional modifiable targets for perioperative optimization and contribute to risk stratification.
Risk stratification should take place around 6 weeks before surgery, which should provide adequate time for rectification of preoperative barriers to elective surgical intervention—namely nutritional status. In cases of urgent or emergent procedures (ie, femoral neck fracture with concern for avascular necrosis of the femoral head), this may not be possible but should be conducted nonetheless for patient-specific postoperative rehabilitation and risk reduction.
Postoperative Complication Risks
Postoperative complications affect nearly 15% of geriatric orthopedic patients, highlighting the need for comprehensive preoperative evaluations to assess risk factors.44 Age-related physiological changes, frailty, and comorbidities complicate recovery and management (Table 2).
Wound healing is impaired in older individuals due to suboptimal circulation and decreased oxygenation that is secondary to age-related changes, as well as the increased likelihood of comorbid conditions (eg, diabetes).7 Surgical site infections can be particularly malicious in geriatric patients, with a 4% incidence.45,46 Hospitalization can be prolonged by a mean 2 weeks, which increases the risk of hospital-associated delirium and iatrogenic complications.46 Both the mortality rate and costs associated with hospitalization are higher for older patients who develop surgical site infections compared with patients aged < 65 years, underscoring the importance of vigilant monitoring, early detection, and effective preoperative screening to identify and manage modifiable risk factors.47
Postoperative delirium is another common complication of orthopedic surgery in the geriatric population, increasing morbidity and mortality. The incidence is reported to be as high as 53.3% in the trauma setting and 28.3% in the elective setting, indicating a need to assess patient risk preoperatively.48,49 Several factors contribute to the high incidence of delirium, including advanced age, longer surgical durations, intraoperative hypotension and hypercapnia, pre-existing cognitive dysfunction, and postoperative sleep disorders.50
VTE is another common cause of complications following orthopedic surgery. The development of DVT can lead to subsequent pulmonary embolism, which can be fatal. Orthopedic surgery patients are already at higher risk of DVT and VTE than other surgical patients, with an incidence as high as 40% to 60%, though it is frequently asymptomatic.51,52 Geriatric patients may be more likely to have concurrent comorbidities that increase hypercoagulability.53 Congestive heart failure, chronic kidney disease, and cardiovascular disease are all more common in older individuals and can increase the risk of VTE by 2-fold.53 While anticoagulation is the standard of care to prevent VTE after orthopedic surgery, geriatric patients require more careful monitoring due to the higher incidence of bleeding complications. Additionally, early postoperative mobilization is critical to reduce the risk of DVT without significantly increasing pain or causing other adverse events.54
Respiratory complications are common after orthopedic surgery, particularly atelectasis and bronchospasm, which can result from intraoperative mechanical ventilation.55 While these conditions are typically self-limiting, more severe respiratory issues such as pneumonia are a significant concern because they may lead to the need for mechanical ventilation and admission to the intensive care unit (ICU). The more severe complications have an incidence of about 1% to 2% in orthopedic surgery patients.56 Preventive strategies, such as respiratory physiotherapy and guided breathing exercises, are crucial to minimize perioperative pulmonary complications and promote optimal recovery. Addressing these challenges through early intervention is essential to improve outcomes.
Multidisciplinary Perioperative Care
Multidisciplinary care in orthopedic surgery involves collaborative management of patient care by general practitioners, surgeons, anesthesiologists, dietitians, physical and occupational therapists, inpatient health care practitioners (HCPs), and social services. The goal of this form of care is to provide a longitudinal sequence of health-optimization tactics that prepare a patient for surgery and give them the best chance of postoperative recovery.
Given that many aspects of geriatric health play a role in orthopedic postoperative outcomes, there are many preoperative factors to consider. As previously discussed, preoperative evaluation of geriatric patients should include nutritional and fragility screening to determine surgical candidacy and target modifiable risk factors for risk reduction. This screening can be conducted by primary care practitioners and orthopedic surgeons in an outpatient setting. A multidisciplinary approach benefits patients by decreasing time to surgery.35
Several large studies have demonstrated the positive influence of a multidisciplinary approach on patient-oriented outcomes in orthopedic patients. Incorporation of this style of care in contrast to surgeon-led perioperative optimization leads to fewer floor and ICU admissions, shorter lengths of stay, and decreased mortality rates.35,57 These findings are broadly applicable to a wide range of orthopedic surgeries and even surgeries outside of the musculoskeletal system.58,59 In addition, this strategy has demonstrated reduced in-hospital health care costs due to shorter lengths of stay and fewer ICU admissions. Physical and occupational therapy also have irreplaceable roles in outcomes after orthopedic surgeries. They have independently been shown to decrease pain, increase range of motion, and increase functionality in daily life.60 These aspects of recovery are essential for geriatric well-being.
Screening Tools
The World Health Organization FRAX fracture risk assessment tool (www.fraxplus.org/calculation-tool) was developed to identify patients at high risk of fracture and subsequent complications and to guide clinical decision-making regarding pharmacologic interventions.61 FRAX calculates the 10-year probability of fracture based on demographic factors, such as age and body mass index, clinical measures (eg, femoral neck bone mineral density), and risk factors (eg, prior fragility fractures, substance use history, and prolonged glucocorticoid use).61 The online tool is easy to use, making it a valuable resource for assessing fracture risk and determining appropriate treatment strategies.
The fatigue, resistance, ambulation, illnesses, loss of weight (FRAIL) scale assesses frailty in older adults. The scale classifies patients into 3 categories: robust, prefrail, and frail. The frail category is associated with an increased frequency of hip fracture and an elevated ASA class.62 Additionally, the FRAIL scale has demonstrated value in predicting hospital length of stay and the risk of postoperative complications.62 It also has shown utility in quantifying frailty status, which is traditionally challenging to assess systematically.63
The Mini-Cog is commonly used in geriatric populations to screen for cognitive impairment. Preoperative Mini-Cog screening has been shown to predict the development of postoperative complications.64 Geriatric patients who screened positive for cognitive impairment prior to orthopedic surgery were more likely to develop postoperative delirium, require alternative discharge disposition, and have a longer hospital length of stay.64 Mini-Cog serves as an important preoperative tool for identifying patients who may benefit from closer postoperative monitoring and tailored care.
The Comprehensive Geriatric Assessment (CGA) is a multidimensional evaluation that has been validated for use in geriatric patients undergoing orthopedic surgery.65 The CGA assesses functional status and the ability to perform activities of daily living (ADLs), such as eating, dressing, and ambulating. Poor ADLs are associated with increased risk of falls and cardiopulmonary complications. The CGA allows HCPs to identify patients at higher risk of complications and tailor interventions that optimize functional recovery during the perioperative period.
Nutritional screening is another component of preoperative evaluation in older adults undergoing orthopedic surgery. The Perioperative Nutrition Screen is a preoperative phone assessment of unintentional weight loss in the past 6 months.66 Patients who screen positive are asked to come in for a preoperative visit with a registered dietitian who can further evaluate the nutritional status of the patient.
The Mini Nutritional Assessment Short Form (MNA-SF), Malnutrition Universal Screening Tool, and Nutrition Risk Screening 2002 have all been validated for use in older patients undergoing orthopedic surgery. Among these, the MNA-SF has demonstrated superior utility in predicting hospital readmission and mortality.67 Given the established links between malnutrition and poor surgical outcomes, routine nutritional screening is important for identifying geriatric patients who may require preoperative nutritional interventions.
CONCLUSIONS AND RECOMMENDATIONS
Perioperative management of geriatric patients undergoing orthopedic surgery requires an assessment and strategy focused on risk stratification, patient optimization, and mitigation of potential complications and mortality. Due to the complexity and comprehensive nature of an optimal perioperative plan, creating the plan early is essential to ensure adequate time for patient optimization and care coordination.
Nutrition plays a critical role in the success of surgical procedures, and orthopedics is no exception. Extra care should be taken to preoperatively optimize patient bone health before surgical intervention to enhance recovery and reduce the risk of complications. After an appropriate patient history and clinical picture are gathered, screening tools should be used on a case-by-case basis to further characterize comorbid conditions that may contribute to suboptimal outcomes. Additionally, given the proven association between frailty and fracture risk, frailty serves as a readily quantifiable predictor of patient-oriented outcomes. This should be assessed preoperatively with appropriate risk-stratification tools to determine appropriate postoperative measures to prevent morbidity and mortality.
Orthopedic surgery is increasingly common in geriatric patients, who face higher perioperative risks due to age-related physiological changes, multimorbidity, and frailty. Optimizing preoperative assessment and adopting a multidisciplinary approach—integrating surgeons, anesthesiologists, physical therapists, and dietitians—can improve outcomes, reduce complications, and enhance recovery. The successful use of the tools and strategies outlined in this article by primary care should facilitate access to and recovery from orthopedic surgery in the geriatric population.
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Reddy RS, Alahmari KA, Alshahrani MS, et al. Exploring the impact of physiotherapy on health outcomes in older adults with chronic diseases: a cross-sectional analysis. Front Public Health. 2024;12:1415882. doi:10.3389/fpubh.2024.1415882
Watts NB. The Fracture Risk Assessment Tool (FRAX®): applications in clinical practice. J Womens Health (Larchmt). 2011;20:525-531. doi:10.1089/jwh.2010.2294
Gleason LJ, Benton EA, Alvarez-Nebreda ML, Weaver MJ, Harris MB, Javedan H. FRAIL questionnaire screening tool and short-term outcomes in geriatric fracture patients. J Am Med Dir Assoc. 2017;18:1082-1086. doi:10.1016/j.jamda.2017.07.005
Kojima G. Frailty defined by FRAIL scale as a predictor of mortality: a systematic review and meta-analysis. J Am Med Dir Assoc. 2018;19:480-483. doi:10.1016/j.jamda.2018.04.006
Culley DJ, Flaherty D, Fahey MC, et al. Poor performance on a preoperative cognitive screening test predicts postoperative complications in older orthopedic surgical patients. Anesthesiology. 2017;127:765-774. doi:10.1097/ALN.0000000000001859
Kong C, Zhang Y, Wang C, et al. Comprehensive geriatric assessment for older orthopedic patients and analysis of risk factors for postoperative complications. BMC Geriatr. 2022;22:644. doi:10.1186/s12877-022-03328-5
Williams DGA, Wischmeyer PE. Perioperative nutrition care of orthopedic surgery patient. Tech Orthop. 2020;35:15-18. doi:10.1097/BTO.0000000000000412
Koren-Hakim T, Weiss A, Hershkovitz A, et al. Comparing the adequacy of the MNA-SF, NRS-2002 and MUST nutritional tools in assessing malnutrition in hip fracture operated elderly patients. Clin Nutr. 2016;35:1053-1058. doi:10.1016/j.clnu.2015.07.014
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Clegg A, Young J, Iliffe S, Rikkert MO, Rockwood K. Frailty in elderly people. Lancet. 2013;381:752-762. doi:10.1016/S0140-6736(12)62167-9
Patel JN, Klein DS, Sreekumar S, Liporace FA, Yoon RS. Outcomes in multidisciplinary team-based approach in geriatric hip fracture care: a systematic review. J Am Acad Orthop Surg. 2020;28:128-133. doi:10.5435/JAAOS-D-18-00425
Amador LF, Loera JA. Preventing postoperative falls in the older adult. J Am Coll Surg. 2007;204:447-453. doi:10.1016/j.jamcollsurg.2006.12.010
Tembo MC, Holloway-Kew KL, Mohebbi M, et al. The association between a fracture risk tool and frailty: Geelong Osteoporosis Study. BMC Geriatr. 2020;20:196. doi:10.1186/s12877-020-01595-8
Demiris¸ B, Basat S, Kurt F, Aksakal B, Basat O. Evaluation of the relationship between frailty and fracture risk using Fracture Risk Assessment Tool in patients 65 years and over. South Clin Istanb Eurasia. 2023;34:42-48. doi:10.14744/scie.2022.66564
Partridge JSL, Harari D, Dhesi JK. Frailty in the older surgical patient: a review. Age Ageing. 2012;41:142-147. doi:10.1093/ageing/afr182
Mamtora PH, Fortier MA, Barnett SR, Schmid LN, Kain ZN. Peri-operative management of frailty in the orthopedic patient. J Orthop. 2020;22:304-307. doi:10.1016/j.jor.2020.05.024
Leven DM, Lee NJ, Kim JS, et al. Frailty is predictive of adverse postoperative events in patients undergoing lumbar fusion. Global Spine J. 2017;7:529-535. doi:10.1177/2192568217700099
Pritchard JM, Kennedy CC, Karampatos S, et al. Measuring frailty in clinical practice: a comparison of physical frailty assessment methods in a geriatric out-patient clinic. BMC Geriatr. 2017;17:264. doi:10.1186/s12877-017-0623-0
Kumar A, Dhar M, Agarwal M, Mukherjee A, Saxena V. Predictors of frailty in the elderly population: a cross-sectional study at a tertiary care center. Cureus. 2022;14:e30557. doi:10.7759/cureus.30557
Scarano KA, Philp FH, Westrick ER, Altman GT, Altman DT. Evaluating postoperative complications and outcomes of orthopedic fracture repair in nonagenarian patients. Geriatr Orthop Surg Rehabil. 2018;9:2151459318758106. doi:10.1177/2151459318758106
Liang Z, Rong K, Gu W, et al. Surgical site infection following elective orthopaedic surgeries in geriatric patients: incidence and associated risk factors. Int Wound J. 2019;16:773-780. doi:10.1111/iwj.13096
Ren M, Liang W, Wu Z, Zhao H, Wang J. Risk factors of surgical site infection in geriatric orthopedic surgery: a retrospective multicenter cohort study. Geriatr Gerontol Int. 2019;19:213-217. doi:10.1111/ggi.13590
Kaye KS, Schmader KE, Sawyer R. Surgical site infection in the elderly population. Clin Infect Dis. 2004;39:1835-1841. doi:10.1086/425744
Bruce AJ, Ritchie CW, Blizard R, Lai R, Raven P. The incidence of delirium associated with orthopedic surgery: a meta-analytic review. Int Psychogeriatr. 2007;19:197-214. doi:10.1017/S104161020600425X
Williams-Russo P, Urquhart BL, Sharrock NE, Charlson ME. Post-operative delirium: predictors and prognosis in elderly orthopedic patients. J Am Geriatr Soc. 1992;40:759-767. doi:10.1111/j.1532-5415.1992.tb01846.x
Wang J, Li Z, Yu Y, Li B, Shao G, Wang Q. Risk factors contributing to postoperative delirium in geriatric patients postorthopedic surgery. Asia Pac Psychiatry. 2015;7:375-382. doi:10.1111/appy.12193
Geerts WH, Pineo GF, Heit JA, et al. Prevention of venous thromboembolism: the Seventh ACCP Conference on Antithrombotic and Thrombolytic Therapy. Chest. 2004;126:338S-400S. doi:10.1378/chest.126.3_suppl.338S
Kahn SR, Shivakumar S. What’s new in VTE risk and prevention in orthopedic surgery. Res Pract Thromb Haemost. 2020;4:366-376. doi:10.1002/rth2.12323
Uzel K, Azboy I·, Parvizi J. Venous thromboembolism in orthopedic surgery: global guidelines. Acta Orthop Traumatol Turc. 2023;57:192-203. doi:10.5152/j.aott.2023.23074
Peck M, Holthaus A, Kingsbury K, Salsberry MG, Duggirala V. Mobility in acute care for geriatric patients with orthopedic conditions: a review of recent literature. Curr Geri Rep. 2020;9:300-310. doi:10.1007/s13670-020-00347-1
Leme LEG, Sitta MC, Toledo M, Henriques SS. Orthopedic surgery among the elderly: clinical characteristics. Rev Bras Ortop. 2015;46:238-246. doi:10.1016/S2255-4971(15)30189-0
Malcolm TL, Knezevic NN, Zouki CC, Tharian AR. Pulmonary complications after hip and knee arthroplasty in the United States, 2004-2014. Anesth Analg. 2020;130:917-924. doi:10.1213/ANE.0000000000004265
Kamal T, Conway RM, Littlejohn I, Ricketts D. The role of a multidisciplinary pre-assessment clinic in reducing mortality after complex orthopaedic surgery. Ann R Coll Surg Engl. 2011;93:149-151. doi:10.1308/003588411X561026
Davis MJ, Luu BC, Raj S, Abu-Ghname A, Buchanan EP. Multidisciplinary care in surgery: Are team-based interventions cost-effective? Surgeon. 2021;19:49-60. doi:10.1016/j.surge.2020.02.005
Frassanito L, Vergari A, Nestorini R, et al. Enhanced recovery after surgery (ERAS) in hip and knee replacement surgery: description of a multidisciplinary program to improve management of the patients undergoing major orthopedic surgery. Musculoskelet Surg. 2020;104:87-92. doi:10.1007/s12306-019-00603-4
Reddy RS, Alahmari KA, Alshahrani MS, et al. Exploring the impact of physiotherapy on health outcomes in older adults with chronic diseases: a cross-sectional analysis. Front Public Health. 2024;12:1415882. doi:10.3389/fpubh.2024.1415882
Watts NB. The Fracture Risk Assessment Tool (FRAX®): applications in clinical practice. J Womens Health (Larchmt). 2011;20:525-531. doi:10.1089/jwh.2010.2294
Gleason LJ, Benton EA, Alvarez-Nebreda ML, Weaver MJ, Harris MB, Javedan H. FRAIL questionnaire screening tool and short-term outcomes in geriatric fracture patients. J Am Med Dir Assoc. 2017;18:1082-1086. doi:10.1016/j.jamda.2017.07.005
Kojima G. Frailty defined by FRAIL scale as a predictor of mortality: a systematic review and meta-analysis. J Am Med Dir Assoc. 2018;19:480-483. doi:10.1016/j.jamda.2018.04.006
Culley DJ, Flaherty D, Fahey MC, et al. Poor performance on a preoperative cognitive screening test predicts postoperative complications in older orthopedic surgical patients. Anesthesiology. 2017;127:765-774. doi:10.1097/ALN.0000000000001859
Kong C, Zhang Y, Wang C, et al. Comprehensive geriatric assessment for older orthopedic patients and analysis of risk factors for postoperative complications. BMC Geriatr. 2022;22:644. doi:10.1186/s12877-022-03328-5
Williams DGA, Wischmeyer PE. Perioperative nutrition care of orthopedic surgery patient. Tech Orthop. 2020;35:15-18. doi:10.1097/BTO.0000000000000412
Koren-Hakim T, Weiss A, Hershkovitz A, et al. Comparing the adequacy of the MNA-SF, NRS-2002 and MUST nutritional tools in assessing malnutrition in hip fracture operated elderly patients. Clin Nutr. 2016;35:1053-1058. doi:10.1016/j.clnu.2015.07.014
Perioperative Considerations for Orthopedic Surgery in a Geriatric Population
Perioperative Considerations for Orthopedic Surgery in a Geriatric Population
Cervical Cancer Screening Gaps Persist After 65 Years of Age
Cervical Cancer Screening Gaps Persist After 65 Years of Age
TOPLINE:
Among women aged > 65 years who were at a high risk for cervical cancer and required screening, only 5.2% received appropriate screening. Women with a history of high-grade cervical dysplasia had a greater likelihood of appropriate screening.
METHODOLOGY:
- Researchers conducted a retrospective study to assess the rates of appropriate cervical cancer screening among 1787 women aged 66 years or older (median, 76 years; 96.3% White) who had a Medicare wellness visit or an annual gynecologic visit in a healthcare system in 2022.
- Data on age at the last cervical cancer screening, history of hysterectomy, human papillomavirus (HPV) status, and history of a diagnosis of cervical cancer or cervical dysplasia, high-grade dysplasia, and immune deficiency status were assessed.
- Participants were categorized into 2 groups: those at high risk for cervical cancer (prior high-grade cervical dysplasia or cancer, an immunocompromised status, or lack of two normal cytology results in the past 10 years; n = 250) and those at average risk (having no high-risk features and adequate prior screening or having a prior hysterectomy with no history of high-grade cervical dysplasia; n = 1537).
- The screening cessation criteria were based on adequate prior screening, defined as two prior negative cervical cancer screenings in the past 10 years, the absence of high-grade cervical dysplasia or cervical cancer, and no immune deficiency.
TAKEAWAY:
- Overall, 4.9% of patients had a history of inadequate prior screening; among women at high risk, 5.2% were appropriately screened.
- The odds of continued screening were greater for women with a history of a positive HPV test results (adjusted odds ratio [aOR], 3.4; P = .016), a history of high-grade cervical dysplasia (aOR, 3.8; P = .009), and those without prior hysterectomy (aOR, 2.2; P = .005).
- Among women at high risk for cervical cancer, those with a history of high-grade cervical dysplasia had increased odds of appropriate screening (aOR, 6.7; P = .002), whereas the odds decreased with every 5-year increase in age (aOR, 0.5; P = .031). Women with prior hysterectomy were less likely to be over-screened (aOR, 0.3; P < .001) than those without.
- Among the 79 women who underwent screening, 97.5% had normal cytology results; the remaining women had abnormal cytology results (atypical squamous cells of undetermined significance or atypical squamous cells); all patients with abnormal cytology results met high-risk criteria and were screened appropriately.
IN PRACTICE:
“[The study] findings suggest that most clinicians and patients are aware of recommendations to stop cervical cancer screening after age 65 years. However, there may be a lack of awareness regarding continued screening in high-risk patients or those with inadequate prior screening. The lack of prior screening history and results in the medical record suggests that providers may not understand the importance of these factors to inform cervical cancer screening in older patients,” the authors of the study wrote.
SOURCE:
The study was led by Daniel Rodriguez, BS, Kolschowsky Research and Education Institute, Sarasota Memorial Health Care System, Sarasota, Florida. It was published online on April 23, 2026, in the Journal of Lower Genital Tract Disease.
LIMITATIONS:
Screening history in electronic medical records may be incomplete.
DISCLOSURES:
The Sarasota Memorial Healthcare Foundation provided financial support for this research. The authors declared having no conflicts of interest.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.
A version of this article first appeared on Medscape.com.
TOPLINE:
Among women aged > 65 years who were at a high risk for cervical cancer and required screening, only 5.2% received appropriate screening. Women with a history of high-grade cervical dysplasia had a greater likelihood of appropriate screening.
METHODOLOGY:
- Researchers conducted a retrospective study to assess the rates of appropriate cervical cancer screening among 1787 women aged 66 years or older (median, 76 years; 96.3% White) who had a Medicare wellness visit or an annual gynecologic visit in a healthcare system in 2022.
- Data on age at the last cervical cancer screening, history of hysterectomy, human papillomavirus (HPV) status, and history of a diagnosis of cervical cancer or cervical dysplasia, high-grade dysplasia, and immune deficiency status were assessed.
- Participants were categorized into 2 groups: those at high risk for cervical cancer (prior high-grade cervical dysplasia or cancer, an immunocompromised status, or lack of two normal cytology results in the past 10 years; n = 250) and those at average risk (having no high-risk features and adequate prior screening or having a prior hysterectomy with no history of high-grade cervical dysplasia; n = 1537).
- The screening cessation criteria were based on adequate prior screening, defined as two prior negative cervical cancer screenings in the past 10 years, the absence of high-grade cervical dysplasia or cervical cancer, and no immune deficiency.
TAKEAWAY:
- Overall, 4.9% of patients had a history of inadequate prior screening; among women at high risk, 5.2% were appropriately screened.
- The odds of continued screening were greater for women with a history of a positive HPV test results (adjusted odds ratio [aOR], 3.4; P = .016), a history of high-grade cervical dysplasia (aOR, 3.8; P = .009), and those without prior hysterectomy (aOR, 2.2; P = .005).
- Among women at high risk for cervical cancer, those with a history of high-grade cervical dysplasia had increased odds of appropriate screening (aOR, 6.7; P = .002), whereas the odds decreased with every 5-year increase in age (aOR, 0.5; P = .031). Women with prior hysterectomy were less likely to be over-screened (aOR, 0.3; P < .001) than those without.
- Among the 79 women who underwent screening, 97.5% had normal cytology results; the remaining women had abnormal cytology results (atypical squamous cells of undetermined significance or atypical squamous cells); all patients with abnormal cytology results met high-risk criteria and were screened appropriately.
IN PRACTICE:
“[The study] findings suggest that most clinicians and patients are aware of recommendations to stop cervical cancer screening after age 65 years. However, there may be a lack of awareness regarding continued screening in high-risk patients or those with inadequate prior screening. The lack of prior screening history and results in the medical record suggests that providers may not understand the importance of these factors to inform cervical cancer screening in older patients,” the authors of the study wrote.
SOURCE:
The study was led by Daniel Rodriguez, BS, Kolschowsky Research and Education Institute, Sarasota Memorial Health Care System, Sarasota, Florida. It was published online on April 23, 2026, in the Journal of Lower Genital Tract Disease.
LIMITATIONS:
Screening history in electronic medical records may be incomplete.
DISCLOSURES:
The Sarasota Memorial Healthcare Foundation provided financial support for this research. The authors declared having no conflicts of interest.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.
A version of this article first appeared on Medscape.com.
TOPLINE:
Among women aged > 65 years who were at a high risk for cervical cancer and required screening, only 5.2% received appropriate screening. Women with a history of high-grade cervical dysplasia had a greater likelihood of appropriate screening.
METHODOLOGY:
- Researchers conducted a retrospective study to assess the rates of appropriate cervical cancer screening among 1787 women aged 66 years or older (median, 76 years; 96.3% White) who had a Medicare wellness visit or an annual gynecologic visit in a healthcare system in 2022.
- Data on age at the last cervical cancer screening, history of hysterectomy, human papillomavirus (HPV) status, and history of a diagnosis of cervical cancer or cervical dysplasia, high-grade dysplasia, and immune deficiency status were assessed.
- Participants were categorized into 2 groups: those at high risk for cervical cancer (prior high-grade cervical dysplasia or cancer, an immunocompromised status, or lack of two normal cytology results in the past 10 years; n = 250) and those at average risk (having no high-risk features and adequate prior screening or having a prior hysterectomy with no history of high-grade cervical dysplasia; n = 1537).
- The screening cessation criteria were based on adequate prior screening, defined as two prior negative cervical cancer screenings in the past 10 years, the absence of high-grade cervical dysplasia or cervical cancer, and no immune deficiency.
TAKEAWAY:
- Overall, 4.9% of patients had a history of inadequate prior screening; among women at high risk, 5.2% were appropriately screened.
- The odds of continued screening were greater for women with a history of a positive HPV test results (adjusted odds ratio [aOR], 3.4; P = .016), a history of high-grade cervical dysplasia (aOR, 3.8; P = .009), and those without prior hysterectomy (aOR, 2.2; P = .005).
- Among women at high risk for cervical cancer, those with a history of high-grade cervical dysplasia had increased odds of appropriate screening (aOR, 6.7; P = .002), whereas the odds decreased with every 5-year increase in age (aOR, 0.5; P = .031). Women with prior hysterectomy were less likely to be over-screened (aOR, 0.3; P < .001) than those without.
- Among the 79 women who underwent screening, 97.5% had normal cytology results; the remaining women had abnormal cytology results (atypical squamous cells of undetermined significance or atypical squamous cells); all patients with abnormal cytology results met high-risk criteria and were screened appropriately.
IN PRACTICE:
“[The study] findings suggest that most clinicians and patients are aware of recommendations to stop cervical cancer screening after age 65 years. However, there may be a lack of awareness regarding continued screening in high-risk patients or those with inadequate prior screening. The lack of prior screening history and results in the medical record suggests that providers may not understand the importance of these factors to inform cervical cancer screening in older patients,” the authors of the study wrote.
SOURCE:
The study was led by Daniel Rodriguez, BS, Kolschowsky Research and Education Institute, Sarasota Memorial Health Care System, Sarasota, Florida. It was published online on April 23, 2026, in the Journal of Lower Genital Tract Disease.
LIMITATIONS:
Screening history in electronic medical records may be incomplete.
DISCLOSURES:
The Sarasota Memorial Healthcare Foundation provided financial support for this research. The authors declared having no conflicts of interest.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.
A version of this article first appeared on Medscape.com.
Cervical Cancer Screening Gaps Persist After 65 Years of Age
Cervical Cancer Screening Gaps Persist After 65 Years of Age
Pumping Iron May Aid Recovery After Breast Cancer Surgery
Pumping Iron May Aid Recovery After Breast Cancer Surgery
Women who undergo surgery for breast cancer often hear that they should take it easy with exercise during recovery. But new research looking at intense strength training puts that advice into question.
The study, of nearly 200 women who’d undergone lumpectomy or mastectomy, found that a 3-month weight-training program helped patients make substantial gains in strength, mobility, balance, and body composition.
And while previous studies have examined resistance exercise during breast cancer surgery recovery, this program pumped up the intensity: Most women progressed to deadlifting 100 to 200 pounds, even though few had ever performed strength training before.
“Most of these patients can do a lot more than we think,” said principal investigator Colin Champ, MD, director of the Exercise Oncology and Resiliency Center at Allegheny Health Network in Pittsburgh.
The findings were presented at The American Society of Breast Surgeons (ASBrS) Annual Meeting, held in Seattle from April 29 to May 3.
Pumping Up the Intensity
For the analysis, Champ and his colleagues pooled the results of 3 small prospective studies of their strength conditioning program, including one that previously reported no worsening in patients’ lymphedema, and instead, showed signs of improvement.
The researchers evaluated program participants’ physical and functional gains and whether any of those parameters differed by the extent of their breast cancer surgery.
In total, there were 197 participants, including 85 who’d undergone mastectomies and 112 who’d had lumpectomies; 26 patients also had axillary lymph node dissection.
All of the women attended the same 3-month supervised strength-training program, starting at various points in their recovery process. Nearly half started at 3 months postdiagnosis.
According to Champ, the program addresses a full range of motion, with the exercise intensity building over a short period — similar to what professional athletes do in early training. The specific exercises include split squats, dumbbell presses, and dumbbell rows, done 3 days per week, for about 45-60 minutes.
Most participants, Champ said, start with deadlifting around 70 pounds (lifting weight from the floor to hip level). “If you can carry groceries, you can deadlift 60 or 70 pounds,” he noted.
Each month, the weight and sets increase, while the repetitions decrease.
“We just had a woman in her 70s who deadlifted about 200 pounds” as the program progressed, Champ said.
Benefits Regardless of Surgery Type
Women in the current analysis underwent baseline and post-program testing of body composition and functional parameters, including strength, mobility, and balance. Mastectomy patients (median age, 51 years) were younger than lumpectomy patients (median age, 59 years). They were also more likely to have had chemotherapy (45% vs 27%).
Overall, Champ’s team found that both surgery groups showed statistically significant improvements in muscle and body fat percentages over the course of the program, with muscle mass increasing by 1 percentage point on average and body fat declining by 1.5 percentage points.
Similarly, functional movement scores, grip strength, loads lifted, and balance skills also improved, with comparable benefits regardless of surgery type or whether lymph node dissection was performed.
By the end of the program’s third week, Champ said, most women could deadlift 100-pound weights. And by the 3-month mark, many were able to lift 200-pound loads.
Champ called the results empowering, and he hopes they help reframe the traditional mindset that intense strength training is too heavy a lift after breast cancer surgery.
A surgical oncologist who was not involved in the study agreed.
“This gives us something concrete to say to patients,” said Tina Hieken, MD, of the Mayo Clinic in Rochester, Minnesota. “We have more data to say it’s safe for you to exercise.’’
Hieken, who chaired the meeting’s scientific program committee, also noted that the findings pertain to women of all baseline fitness levels.
For her part, Hieken already encourages patients to walk for exercise and spend time outdoors — in part for the mental well-being benefits.
With patients facing so much uncertainty after a cancer diagnosis, she said, “this is something an individual can take control of.”
Champ and Hieken had no disclosures.
A version of this article first appeared on Medscape.com.
Women who undergo surgery for breast cancer often hear that they should take it easy with exercise during recovery. But new research looking at intense strength training puts that advice into question.
The study, of nearly 200 women who’d undergone lumpectomy or mastectomy, found that a 3-month weight-training program helped patients make substantial gains in strength, mobility, balance, and body composition.
And while previous studies have examined resistance exercise during breast cancer surgery recovery, this program pumped up the intensity: Most women progressed to deadlifting 100 to 200 pounds, even though few had ever performed strength training before.
“Most of these patients can do a lot more than we think,” said principal investigator Colin Champ, MD, director of the Exercise Oncology and Resiliency Center at Allegheny Health Network in Pittsburgh.
The findings were presented at The American Society of Breast Surgeons (ASBrS) Annual Meeting, held in Seattle from April 29 to May 3.
Pumping Up the Intensity
For the analysis, Champ and his colleagues pooled the results of 3 small prospective studies of their strength conditioning program, including one that previously reported no worsening in patients’ lymphedema, and instead, showed signs of improvement.
The researchers evaluated program participants’ physical and functional gains and whether any of those parameters differed by the extent of their breast cancer surgery.
In total, there were 197 participants, including 85 who’d undergone mastectomies and 112 who’d had lumpectomies; 26 patients also had axillary lymph node dissection.
All of the women attended the same 3-month supervised strength-training program, starting at various points in their recovery process. Nearly half started at 3 months postdiagnosis.
According to Champ, the program addresses a full range of motion, with the exercise intensity building over a short period — similar to what professional athletes do in early training. The specific exercises include split squats, dumbbell presses, and dumbbell rows, done 3 days per week, for about 45-60 minutes.
Most participants, Champ said, start with deadlifting around 70 pounds (lifting weight from the floor to hip level). “If you can carry groceries, you can deadlift 60 or 70 pounds,” he noted.
Each month, the weight and sets increase, while the repetitions decrease.
“We just had a woman in her 70s who deadlifted about 200 pounds” as the program progressed, Champ said.
Benefits Regardless of Surgery Type
Women in the current analysis underwent baseline and post-program testing of body composition and functional parameters, including strength, mobility, and balance. Mastectomy patients (median age, 51 years) were younger than lumpectomy patients (median age, 59 years). They were also more likely to have had chemotherapy (45% vs 27%).
Overall, Champ’s team found that both surgery groups showed statistically significant improvements in muscle and body fat percentages over the course of the program, with muscle mass increasing by 1 percentage point on average and body fat declining by 1.5 percentage points.
Similarly, functional movement scores, grip strength, loads lifted, and balance skills also improved, with comparable benefits regardless of surgery type or whether lymph node dissection was performed.
By the end of the program’s third week, Champ said, most women could deadlift 100-pound weights. And by the 3-month mark, many were able to lift 200-pound loads.
Champ called the results empowering, and he hopes they help reframe the traditional mindset that intense strength training is too heavy a lift after breast cancer surgery.
A surgical oncologist who was not involved in the study agreed.
“This gives us something concrete to say to patients,” said Tina Hieken, MD, of the Mayo Clinic in Rochester, Minnesota. “We have more data to say it’s safe for you to exercise.’’
Hieken, who chaired the meeting’s scientific program committee, also noted that the findings pertain to women of all baseline fitness levels.
For her part, Hieken already encourages patients to walk for exercise and spend time outdoors — in part for the mental well-being benefits.
With patients facing so much uncertainty after a cancer diagnosis, she said, “this is something an individual can take control of.”
Champ and Hieken had no disclosures.
A version of this article first appeared on Medscape.com.
Women who undergo surgery for breast cancer often hear that they should take it easy with exercise during recovery. But new research looking at intense strength training puts that advice into question.
The study, of nearly 200 women who’d undergone lumpectomy or mastectomy, found that a 3-month weight-training program helped patients make substantial gains in strength, mobility, balance, and body composition.
And while previous studies have examined resistance exercise during breast cancer surgery recovery, this program pumped up the intensity: Most women progressed to deadlifting 100 to 200 pounds, even though few had ever performed strength training before.
“Most of these patients can do a lot more than we think,” said principal investigator Colin Champ, MD, director of the Exercise Oncology and Resiliency Center at Allegheny Health Network in Pittsburgh.
The findings were presented at The American Society of Breast Surgeons (ASBrS) Annual Meeting, held in Seattle from April 29 to May 3.
Pumping Up the Intensity
For the analysis, Champ and his colleagues pooled the results of 3 small prospective studies of their strength conditioning program, including one that previously reported no worsening in patients’ lymphedema, and instead, showed signs of improvement.
The researchers evaluated program participants’ physical and functional gains and whether any of those parameters differed by the extent of their breast cancer surgery.
In total, there were 197 participants, including 85 who’d undergone mastectomies and 112 who’d had lumpectomies; 26 patients also had axillary lymph node dissection.
All of the women attended the same 3-month supervised strength-training program, starting at various points in their recovery process. Nearly half started at 3 months postdiagnosis.
According to Champ, the program addresses a full range of motion, with the exercise intensity building over a short period — similar to what professional athletes do in early training. The specific exercises include split squats, dumbbell presses, and dumbbell rows, done 3 days per week, for about 45-60 minutes.
Most participants, Champ said, start with deadlifting around 70 pounds (lifting weight from the floor to hip level). “If you can carry groceries, you can deadlift 60 or 70 pounds,” he noted.
Each month, the weight and sets increase, while the repetitions decrease.
“We just had a woman in her 70s who deadlifted about 200 pounds” as the program progressed, Champ said.
Benefits Regardless of Surgery Type
Women in the current analysis underwent baseline and post-program testing of body composition and functional parameters, including strength, mobility, and balance. Mastectomy patients (median age, 51 years) were younger than lumpectomy patients (median age, 59 years). They were also more likely to have had chemotherapy (45% vs 27%).
Overall, Champ’s team found that both surgery groups showed statistically significant improvements in muscle and body fat percentages over the course of the program, with muscle mass increasing by 1 percentage point on average and body fat declining by 1.5 percentage points.
Similarly, functional movement scores, grip strength, loads lifted, and balance skills also improved, with comparable benefits regardless of surgery type or whether lymph node dissection was performed.
By the end of the program’s third week, Champ said, most women could deadlift 100-pound weights. And by the 3-month mark, many were able to lift 200-pound loads.
Champ called the results empowering, and he hopes they help reframe the traditional mindset that intense strength training is too heavy a lift after breast cancer surgery.
A surgical oncologist who was not involved in the study agreed.
“This gives us something concrete to say to patients,” said Tina Hieken, MD, of the Mayo Clinic in Rochester, Minnesota. “We have more data to say it’s safe for you to exercise.’’
Hieken, who chaired the meeting’s scientific program committee, also noted that the findings pertain to women of all baseline fitness levels.
For her part, Hieken already encourages patients to walk for exercise and spend time outdoors — in part for the mental well-being benefits.
With patients facing so much uncertainty after a cancer diagnosis, she said, “this is something an individual can take control of.”
Champ and Hieken had no disclosures.
A version of this article first appeared on Medscape.com.
Pumping Iron May Aid Recovery After Breast Cancer Surgery
Pumping Iron May Aid Recovery After Breast Cancer Surgery