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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.
Assessing Pathologic Evaluation in Patients with DLBCL Within the Veterans Health Administration
INTRODUCTION: Diffuse large B-cell lymphoma (DLBCL) is the most common subtype of non-Hodgkin lymphoma. Patients with DLBCL refractory to initial treatment or who experience relapse have low rates of prolonged disease-free survival. Fluorescence in situ hybridization (FISH) revealing rearrangements in the MYC gene along with either the BCL2 or BCL6 genes (double- and triple-hit lymphomas) demonstrate inferior outcomes when treated with standard front-line chemoimmunotherapy. Immunohistochemistry (IHC) testing for MUM1, CD10, BCL6, and MYC also provides important prognostic information and is used in the Hans algorithm to determine the cell of origin. We assessed how frequently these crucial tests were performed on DLBCL patients within the Veterans Health Administration (VHA).
METHODS: We performed a retrospective chart review of 1,605 randomly selected records of patients diagnosed with lymphoma seen within the VHA nationwide between 1/1/2011 and 12/31/2017. We included patients diagnosed with DLBCL. We excluded patients whose workup and treatment were outside of the VHA system, and patients with primary CNS lymphoma. We analyzed pathology reports. The proportion of patients who had IHC and FISH testing for each marker was assessed.
RESULTS: 725 patients were included in the study. Our patients were predominantly male (96.8%), with a median age of 67 years. Out of the patients analyzed, IHC to determine cell of origin was performed in 481 (66.3%). Out of those tested, 316 (65.7%) were of germinal center B-cell (GCB) origin, and 165 (34.3%) were non-GCB origin. FISH testing was performed in only 242 patients (33.4%). Out of the population tested, 25 (10.3%) were double- or triple-hit.
CONCLUSION: Pathological characterization is key to the diagnosis, prognosis, and treatment of DLBCL. It is recommended by the National Comprehensive Cancer Network (NCCN) to obtain IHC testing for MUM1, BCL6, CD10, and MYC, and FISH testing for MYC (with BCL2 and BCL6 if MYC is positive) in all patients with DLBCL. Our study shows that more than one half of patients did not have FISH testing, and that cell of origin was not determined in about one third of patients, indicating a need for improved testing of these protein expressions and gene rearrangements within the VHA.
INTRODUCTION: Diffuse large B-cell lymphoma (DLBCL) is the most common subtype of non-Hodgkin lymphoma. Patients with DLBCL refractory to initial treatment or who experience relapse have low rates of prolonged disease-free survival. Fluorescence in situ hybridization (FISH) revealing rearrangements in the MYC gene along with either the BCL2 or BCL6 genes (double- and triple-hit lymphomas) demonstrate inferior outcomes when treated with standard front-line chemoimmunotherapy. Immunohistochemistry (IHC) testing for MUM1, CD10, BCL6, and MYC also provides important prognostic information and is used in the Hans algorithm to determine the cell of origin. We assessed how frequently these crucial tests were performed on DLBCL patients within the Veterans Health Administration (VHA).
METHODS: We performed a retrospective chart review of 1,605 randomly selected records of patients diagnosed with lymphoma seen within the VHA nationwide between 1/1/2011 and 12/31/2017. We included patients diagnosed with DLBCL. We excluded patients whose workup and treatment were outside of the VHA system, and patients with primary CNS lymphoma. We analyzed pathology reports. The proportion of patients who had IHC and FISH testing for each marker was assessed.
RESULTS: 725 patients were included in the study. Our patients were predominantly male (96.8%), with a median age of 67 years. Out of the patients analyzed, IHC to determine cell of origin was performed in 481 (66.3%). Out of those tested, 316 (65.7%) were of germinal center B-cell (GCB) origin, and 165 (34.3%) were non-GCB origin. FISH testing was performed in only 242 patients (33.4%). Out of the population tested, 25 (10.3%) were double- or triple-hit.
CONCLUSION: Pathological characterization is key to the diagnosis, prognosis, and treatment of DLBCL. It is recommended by the National Comprehensive Cancer Network (NCCN) to obtain IHC testing for MUM1, BCL6, CD10, and MYC, and FISH testing for MYC (with BCL2 and BCL6 if MYC is positive) in all patients with DLBCL. Our study shows that more than one half of patients did not have FISH testing, and that cell of origin was not determined in about one third of patients, indicating a need for improved testing of these protein expressions and gene rearrangements within the VHA.
INTRODUCTION: Diffuse large B-cell lymphoma (DLBCL) is the most common subtype of non-Hodgkin lymphoma. Patients with DLBCL refractory to initial treatment or who experience relapse have low rates of prolonged disease-free survival. Fluorescence in situ hybridization (FISH) revealing rearrangements in the MYC gene along with either the BCL2 or BCL6 genes (double- and triple-hit lymphomas) demonstrate inferior outcomes when treated with standard front-line chemoimmunotherapy. Immunohistochemistry (IHC) testing for MUM1, CD10, BCL6, and MYC also provides important prognostic information and is used in the Hans algorithm to determine the cell of origin. We assessed how frequently these crucial tests were performed on DLBCL patients within the Veterans Health Administration (VHA).
METHODS: We performed a retrospective chart review of 1,605 randomly selected records of patients diagnosed with lymphoma seen within the VHA nationwide between 1/1/2011 and 12/31/2017. We included patients diagnosed with DLBCL. We excluded patients whose workup and treatment were outside of the VHA system, and patients with primary CNS lymphoma. We analyzed pathology reports. The proportion of patients who had IHC and FISH testing for each marker was assessed.
RESULTS: 725 patients were included in the study. Our patients were predominantly male (96.8%), with a median age of 67 years. Out of the patients analyzed, IHC to determine cell of origin was performed in 481 (66.3%). Out of those tested, 316 (65.7%) were of germinal center B-cell (GCB) origin, and 165 (34.3%) were non-GCB origin. FISH testing was performed in only 242 patients (33.4%). Out of the population tested, 25 (10.3%) were double- or triple-hit.
CONCLUSION: Pathological characterization is key to the diagnosis, prognosis, and treatment of DLBCL. It is recommended by the National Comprehensive Cancer Network (NCCN) to obtain IHC testing for MUM1, BCL6, CD10, and MYC, and FISH testing for MYC (with BCL2 and BCL6 if MYC is positive) in all patients with DLBCL. Our study shows that more than one half of patients did not have FISH testing, and that cell of origin was not determined in about one third of patients, indicating a need for improved testing of these protein expressions and gene rearrangements within the VHA.
Assessing Neutropenic Fever Management at Audie L. Murphy VA Medical Center (ALM VAMC)
BACKGROUND: Neutropenic fever poses a significant risk to cancer patients, with a major complication rate of 30% and mortality rate as high as 11%. Prompt evaluation with labs, imaging, and appropriate antibiotics are crucial to improving outcomes. In an attempt to reduce morbidity and mortality, the Infectious Disease Society of America (IDSA) and American Society of Clinical Oncology (ASCO) have set guidelines for the evaluation and treatment of neutropenic fever. The purpose of this project was to assess the management of neutropenic fever within our institution, and to identify potential areas for improvement in the care of these patients.
METHODS: We included patients seen at Audie L. Murphy VA Medical Center between September 1, 2018 and January 31, 2020 for neutropenic fever. We excluded patients without a diagnosis of malignancy and who had not received chemotherapy within the prior 4 weeks. We recorded the times of patient presentation, labs, imaging, and antibiotic administration. These were compared to the standards set forth by IDSA/ASCO. We also calculated average times to lab collection and to antibiotic administration. The proportion of patients who received unwarranted dose reductions of antibiotics also was assessed.
RESULTS: There were 35 unique encounters that met our inclusion criteria. All patients included in the study underwent all recommended diagnostic testing. 3 of 35 (8.6%) patients had CBC/CMP, 2 of 35 (5.7%) had urinalysis, 6 of 35 (17.1%) had blood cultures, and 3 of 35 (8.6%) had a chest x-ray (CXR) within the recommended 15 minutes from time of presentation. Only 3 of 35 (8.6%) patients received antibiotics within the recommended 1 hour from presentation. The average times to obtain CBC/CMP, urinalysis, blood cultures, CXR, and administration of antibiotics were 52.1 minutes, 162.4 minutes, 49.5 minutes, 96.1 minutes, and 308.4 minutes, respectively. 9 of 35 (25.7%) patients received unnecessary dose reductions of antibiotics.
CONCLUSIONS: Although patients received the appropriate evaluation according to IDSA/ASCO guidelines, the times to obtain appropriate diagnostic tests and administer recommend antibiotics were significantly prolonged. Establishing a standardized neutropenic fever protocol, prompt triaging, educational interventions, and identifying patients at risk for neutropenic fever may expedite care and improve outcomes for these high-risk patients.
BACKGROUND: Neutropenic fever poses a significant risk to cancer patients, with a major complication rate of 30% and mortality rate as high as 11%. Prompt evaluation with labs, imaging, and appropriate antibiotics are crucial to improving outcomes. In an attempt to reduce morbidity and mortality, the Infectious Disease Society of America (IDSA) and American Society of Clinical Oncology (ASCO) have set guidelines for the evaluation and treatment of neutropenic fever. The purpose of this project was to assess the management of neutropenic fever within our institution, and to identify potential areas for improvement in the care of these patients.
METHODS: We included patients seen at Audie L. Murphy VA Medical Center between September 1, 2018 and January 31, 2020 for neutropenic fever. We excluded patients without a diagnosis of malignancy and who had not received chemotherapy within the prior 4 weeks. We recorded the times of patient presentation, labs, imaging, and antibiotic administration. These were compared to the standards set forth by IDSA/ASCO. We also calculated average times to lab collection and to antibiotic administration. The proportion of patients who received unwarranted dose reductions of antibiotics also was assessed.
RESULTS: There were 35 unique encounters that met our inclusion criteria. All patients included in the study underwent all recommended diagnostic testing. 3 of 35 (8.6%) patients had CBC/CMP, 2 of 35 (5.7%) had urinalysis, 6 of 35 (17.1%) had blood cultures, and 3 of 35 (8.6%) had a chest x-ray (CXR) within the recommended 15 minutes from time of presentation. Only 3 of 35 (8.6%) patients received antibiotics within the recommended 1 hour from presentation. The average times to obtain CBC/CMP, urinalysis, blood cultures, CXR, and administration of antibiotics were 52.1 minutes, 162.4 minutes, 49.5 minutes, 96.1 minutes, and 308.4 minutes, respectively. 9 of 35 (25.7%) patients received unnecessary dose reductions of antibiotics.
CONCLUSIONS: Although patients received the appropriate evaluation according to IDSA/ASCO guidelines, the times to obtain appropriate diagnostic tests and administer recommend antibiotics were significantly prolonged. Establishing a standardized neutropenic fever protocol, prompt triaging, educational interventions, and identifying patients at risk for neutropenic fever may expedite care and improve outcomes for these high-risk patients.
BACKGROUND: Neutropenic fever poses a significant risk to cancer patients, with a major complication rate of 30% and mortality rate as high as 11%. Prompt evaluation with labs, imaging, and appropriate antibiotics are crucial to improving outcomes. In an attempt to reduce morbidity and mortality, the Infectious Disease Society of America (IDSA) and American Society of Clinical Oncology (ASCO) have set guidelines for the evaluation and treatment of neutropenic fever. The purpose of this project was to assess the management of neutropenic fever within our institution, and to identify potential areas for improvement in the care of these patients.
METHODS: We included patients seen at Audie L. Murphy VA Medical Center between September 1, 2018 and January 31, 2020 for neutropenic fever. We excluded patients without a diagnosis of malignancy and who had not received chemotherapy within the prior 4 weeks. We recorded the times of patient presentation, labs, imaging, and antibiotic administration. These were compared to the standards set forth by IDSA/ASCO. We also calculated average times to lab collection and to antibiotic administration. The proportion of patients who received unwarranted dose reductions of antibiotics also was assessed.
RESULTS: There were 35 unique encounters that met our inclusion criteria. All patients included in the study underwent all recommended diagnostic testing. 3 of 35 (8.6%) patients had CBC/CMP, 2 of 35 (5.7%) had urinalysis, 6 of 35 (17.1%) had blood cultures, and 3 of 35 (8.6%) had a chest x-ray (CXR) within the recommended 15 minutes from time of presentation. Only 3 of 35 (8.6%) patients received antibiotics within the recommended 1 hour from presentation. The average times to obtain CBC/CMP, urinalysis, blood cultures, CXR, and administration of antibiotics were 52.1 minutes, 162.4 minutes, 49.5 minutes, 96.1 minutes, and 308.4 minutes, respectively. 9 of 35 (25.7%) patients received unnecessary dose reductions of antibiotics.
CONCLUSIONS: Although patients received the appropriate evaluation according to IDSA/ASCO guidelines, the times to obtain appropriate diagnostic tests and administer recommend antibiotics were significantly prolonged. Establishing a standardized neutropenic fever protocol, prompt triaging, educational interventions, and identifying patients at risk for neutropenic fever may expedite care and improve outcomes for these high-risk patients.
Analysis of Oncology Telehealth Services in Veterans Health Administration
BACKGROUND: The purpose of this work is to assess the current utilization patterns of telehealth for oncology care and identify opportunities for increased utilization for underserved regions. In order to accurately and efficiently obtain this information a national data extraction and analysis was required to better understand the current needs. Approximately 33% of veterans are considered to live in rural America. A significant proportion of cancer patients must travel long distances to access cutting-edge VA cancer care. Some VAMCs provide academic subspecialized oncology care including next generation sequencing (NGS), genetic counseling, opportunities to enroll in clinical trials, and world-renowned clinical expert consultation. These services are not conveniently accessible for veterans therefore requiring a program which supports access to all.
METHODS: Baseline assessment measurements were identified to understand resource supply, demand, and telehealth utilization needs. Data were extracted from VA’s CDW and VSSCs Service Analysis Services cubes. 15 data measures from 8 data sources were pulled for 141 VAMCs spanning in time period from FY18 to March FY20.
Cluster Analysis, k-means clustering method, were used to classify VAMCs into distinct groups to identify facilities with the highest needs for oncology telehealth services. The evolutionary solving method was used to find the minimum sum of squared estimate of errors (SSE) allowing a more diversified approach in cluster assignment. Three cluster analysis were performed which include a combination of three variables specific to oncology staffing, telehealth usage, patient rurality, and community care consults (CCC).
RESULTS: Results show that 30 (21%) VAMCs are categorized as high need for TeleOncology. These facilities have low staff support, high CCC, and low telehealth usage. Of these, 11 (37%) VAMCs have high percent of rural patients. Eleven (8%) of all VAMCs are categorized as having high staff support, low CCC, and high telehealth usage; good hub site candidates for the National TeleOncology Program.
CONCLUSION: VA is expanding the National TeleOncology Program to offer oncology services to underserved VAMCs and Veterans across the United States. Results of this analysis are being applied to determine where to prioritize telehealth services for oncology care and which sites may serve as hubs.
BACKGROUND: The purpose of this work is to assess the current utilization patterns of telehealth for oncology care and identify opportunities for increased utilization for underserved regions. In order to accurately and efficiently obtain this information a national data extraction and analysis was required to better understand the current needs. Approximately 33% of veterans are considered to live in rural America. A significant proportion of cancer patients must travel long distances to access cutting-edge VA cancer care. Some VAMCs provide academic subspecialized oncology care including next generation sequencing (NGS), genetic counseling, opportunities to enroll in clinical trials, and world-renowned clinical expert consultation. These services are not conveniently accessible for veterans therefore requiring a program which supports access to all.
METHODS: Baseline assessment measurements were identified to understand resource supply, demand, and telehealth utilization needs. Data were extracted from VA’s CDW and VSSCs Service Analysis Services cubes. 15 data measures from 8 data sources were pulled for 141 VAMCs spanning in time period from FY18 to March FY20.
Cluster Analysis, k-means clustering method, were used to classify VAMCs into distinct groups to identify facilities with the highest needs for oncology telehealth services. The evolutionary solving method was used to find the minimum sum of squared estimate of errors (SSE) allowing a more diversified approach in cluster assignment. Three cluster analysis were performed which include a combination of three variables specific to oncology staffing, telehealth usage, patient rurality, and community care consults (CCC).
RESULTS: Results show that 30 (21%) VAMCs are categorized as high need for TeleOncology. These facilities have low staff support, high CCC, and low telehealth usage. Of these, 11 (37%) VAMCs have high percent of rural patients. Eleven (8%) of all VAMCs are categorized as having high staff support, low CCC, and high telehealth usage; good hub site candidates for the National TeleOncology Program.
CONCLUSION: VA is expanding the National TeleOncology Program to offer oncology services to underserved VAMCs and Veterans across the United States. Results of this analysis are being applied to determine where to prioritize telehealth services for oncology care and which sites may serve as hubs.
BACKGROUND: The purpose of this work is to assess the current utilization patterns of telehealth for oncology care and identify opportunities for increased utilization for underserved regions. In order to accurately and efficiently obtain this information a national data extraction and analysis was required to better understand the current needs. Approximately 33% of veterans are considered to live in rural America. A significant proportion of cancer patients must travel long distances to access cutting-edge VA cancer care. Some VAMCs provide academic subspecialized oncology care including next generation sequencing (NGS), genetic counseling, opportunities to enroll in clinical trials, and world-renowned clinical expert consultation. These services are not conveniently accessible for veterans therefore requiring a program which supports access to all.
METHODS: Baseline assessment measurements were identified to understand resource supply, demand, and telehealth utilization needs. Data were extracted from VA’s CDW and VSSCs Service Analysis Services cubes. 15 data measures from 8 data sources were pulled for 141 VAMCs spanning in time period from FY18 to March FY20.
Cluster Analysis, k-means clustering method, were used to classify VAMCs into distinct groups to identify facilities with the highest needs for oncology telehealth services. The evolutionary solving method was used to find the minimum sum of squared estimate of errors (SSE) allowing a more diversified approach in cluster assignment. Three cluster analysis were performed which include a combination of three variables specific to oncology staffing, telehealth usage, patient rurality, and community care consults (CCC).
RESULTS: Results show that 30 (21%) VAMCs are categorized as high need for TeleOncology. These facilities have low staff support, high CCC, and low telehealth usage. Of these, 11 (37%) VAMCs have high percent of rural patients. Eleven (8%) of all VAMCs are categorized as having high staff support, low CCC, and high telehealth usage; good hub site candidates for the National TeleOncology Program.
CONCLUSION: VA is expanding the National TeleOncology Program to offer oncology services to underserved VAMCs and Veterans across the United States. Results of this analysis are being applied to determine where to prioritize telehealth services for oncology care and which sites may serve as hubs.
A Single Center Experience of Immune Related Adverse Events From Immune Checkpoint Inhibitors and an Attempt to Identify Populations at High Risk
INTRODUCTION: American Society of Clinical Oncology (ASCO) has developed guidelines on the management of immune-related adverse events (irAEs) associated with immune checkpoint inhibitors (ICPIs). However, many irAEs are under-reported and the studies to investigate predictive factors are limited with variable results.
METHODS: A total of 66 patients who received ICPIs at Stratton VAMC Albany between January 2015 to December 2018 were studied. Computerized Patient Record System (CPRS) was used to do a retrospective chart review to identify irAEs and related parameters. IRB approval was obtained.
RESULTS: Sixty-three patients received PD-1 inhibitors (62 males). Our study included 39 patients with lung, 10 renal, 6 head and neck, 4 skin (melanoma), and 2 bladder cancers, and 1 metastatic cancer with unknown primary. Median age of patients with irAEs was 69.5 years versus 66.7 years for patients without irAEs. 23 (36.5%) patients experienced 28 irAEs. 45 patients received nivolumab, 18 (40%) of which had 21 irAEs. 17 got pembrolizumab and 5 (35.2%) had 7 irAEs. Majority of the irAEs were grade I (n=10, 35.7%) or grade II (n=11, 39.2%), while 6 (21.4%) grade III and only 1 (3.5%) grade IV irAE was observed. Median time to appearance of irAEs was 2 cycles. Immunotherapy was continued in 12, temporarily held in 7 and permanently discontinued only in 4 patients. No death was attributed to irAEs. Six patients developed diarrhea, 4 hepatitis, 6 skin rash, 5 thyroid issues and 3 pneumonitis. Rare irAEs included cardiac tamponade (grade IV), uveitis (grade II), central adrenal insufficiency and mild neutropenia in one patient each. 2 patients had pre-existing autoimmune conditions (rheumatoid arthritis and chronic dermatitis), both had transient flares though immunotherapy was continued. Of note, only 3 patients received PDL-1 inhibitors and 1 developed grade II polymyalgia rheumatica and hypothyroidism.
Using multivariate logistic regression, we found no significant association between irAEs and age, body mass index, derived neutrophil to lymphocyte ratio, chronic kidney disease or environmental/medical allergies.
CONCLUSIONS: ICPIs were generally well tolerated in our population, though prompt recognition of rare and severe irAEs is essential. Larger studies are needed to investigate the predictive risk factors for irAEs.
INTRODUCTION: American Society of Clinical Oncology (ASCO) has developed guidelines on the management of immune-related adverse events (irAEs) associated with immune checkpoint inhibitors (ICPIs). However, many irAEs are under-reported and the studies to investigate predictive factors are limited with variable results.
METHODS: A total of 66 patients who received ICPIs at Stratton VAMC Albany between January 2015 to December 2018 were studied. Computerized Patient Record System (CPRS) was used to do a retrospective chart review to identify irAEs and related parameters. IRB approval was obtained.
RESULTS: Sixty-three patients received PD-1 inhibitors (62 males). Our study included 39 patients with lung, 10 renal, 6 head and neck, 4 skin (melanoma), and 2 bladder cancers, and 1 metastatic cancer with unknown primary. Median age of patients with irAEs was 69.5 years versus 66.7 years for patients without irAEs. 23 (36.5%) patients experienced 28 irAEs. 45 patients received nivolumab, 18 (40%) of which had 21 irAEs. 17 got pembrolizumab and 5 (35.2%) had 7 irAEs. Majority of the irAEs were grade I (n=10, 35.7%) or grade II (n=11, 39.2%), while 6 (21.4%) grade III and only 1 (3.5%) grade IV irAE was observed. Median time to appearance of irAEs was 2 cycles. Immunotherapy was continued in 12, temporarily held in 7 and permanently discontinued only in 4 patients. No death was attributed to irAEs. Six patients developed diarrhea, 4 hepatitis, 6 skin rash, 5 thyroid issues and 3 pneumonitis. Rare irAEs included cardiac tamponade (grade IV), uveitis (grade II), central adrenal insufficiency and mild neutropenia in one patient each. 2 patients had pre-existing autoimmune conditions (rheumatoid arthritis and chronic dermatitis), both had transient flares though immunotherapy was continued. Of note, only 3 patients received PDL-1 inhibitors and 1 developed grade II polymyalgia rheumatica and hypothyroidism.
Using multivariate logistic regression, we found no significant association between irAEs and age, body mass index, derived neutrophil to lymphocyte ratio, chronic kidney disease or environmental/medical allergies.
CONCLUSIONS: ICPIs were generally well tolerated in our population, though prompt recognition of rare and severe irAEs is essential. Larger studies are needed to investigate the predictive risk factors for irAEs.
INTRODUCTION: American Society of Clinical Oncology (ASCO) has developed guidelines on the management of immune-related adverse events (irAEs) associated with immune checkpoint inhibitors (ICPIs). However, many irAEs are under-reported and the studies to investigate predictive factors are limited with variable results.
METHODS: A total of 66 patients who received ICPIs at Stratton VAMC Albany between January 2015 to December 2018 were studied. Computerized Patient Record System (CPRS) was used to do a retrospective chart review to identify irAEs and related parameters. IRB approval was obtained.
RESULTS: Sixty-three patients received PD-1 inhibitors (62 males). Our study included 39 patients with lung, 10 renal, 6 head and neck, 4 skin (melanoma), and 2 bladder cancers, and 1 metastatic cancer with unknown primary. Median age of patients with irAEs was 69.5 years versus 66.7 years for patients without irAEs. 23 (36.5%) patients experienced 28 irAEs. 45 patients received nivolumab, 18 (40%) of which had 21 irAEs. 17 got pembrolizumab and 5 (35.2%) had 7 irAEs. Majority of the irAEs were grade I (n=10, 35.7%) or grade II (n=11, 39.2%), while 6 (21.4%) grade III and only 1 (3.5%) grade IV irAE was observed. Median time to appearance of irAEs was 2 cycles. Immunotherapy was continued in 12, temporarily held in 7 and permanently discontinued only in 4 patients. No death was attributed to irAEs. Six patients developed diarrhea, 4 hepatitis, 6 skin rash, 5 thyroid issues and 3 pneumonitis. Rare irAEs included cardiac tamponade (grade IV), uveitis (grade II), central adrenal insufficiency and mild neutropenia in one patient each. 2 patients had pre-existing autoimmune conditions (rheumatoid arthritis and chronic dermatitis), both had transient flares though immunotherapy was continued. Of note, only 3 patients received PDL-1 inhibitors and 1 developed grade II polymyalgia rheumatica and hypothyroidism.
Using multivariate logistic regression, we found no significant association between irAEs and age, body mass index, derived neutrophil to lymphocyte ratio, chronic kidney disease or environmental/medical allergies.
CONCLUSIONS: ICPIs were generally well tolerated in our population, though prompt recognition of rare and severe irAEs is essential. Larger studies are needed to investigate the predictive risk factors for irAEs.
A Rare Case of Triple Positive Inflammatory Breast Cancer in An Elderly Male
BACKGROUND: An 84-year-old male presented with a rapidly growing left breast mass associated with warmth, erythema, and serous discharge from left nipple for 2.5 months. Physical exam revealed ‘peau d’orange’ appearance of skin and a 3×7 cm, firm, irregular, fixed mass in left breast. Core needle biopsy of left breast revealed invasive ductal carcinoma and a computed tomography scan of chest showed multiple small pulmonary nodules. Patient was diagnosed with inflammatory breast carcinoma (Stage IV, cT4d cN1 cM1), ER/ PR positive, HER-2 positive. BRCA testing was negative. After a normal MUGA scan, patient was started on weekly paclitaxel and trastuzumab. After 4 cycles patient developed diarrhea and elected to stop paclitaxel. After 10 cycles of trastuzumab, patient developed signs of heart failure and a MUGA showed depressed left ventricular ejection fraction (LVEF). Trastuzumab was held and patient was started on tamoxifen. Patient had progression of primary mass into a fungating lesion and evidence of new pulmonary metastatic disease on tamoxifen. The primary lesion was treated with palliative radiation and after a subsequent MUGA scan showed normalization of LVEF; trastuzumab was resumed. Patient had stable disease on trastuzumab and continued to follow with oncology.
DISCUSSION: Male breast cancer is < 1% of all breast cancer but incidence is rising in the US. Risk factors include family history, BRCA2 > BRCA1, obesity, cirrhosis, and radiation exposure. Inflammatory breast cancer (IBC) is a rapidly progressive malignancy with a clinicopathological diagnosis. There are paucity of data of IBC in men due to rarity of the disease. Many patients initially are misdiagnosed with mastitis, unresponsive to antibiotics. At diagnosis, most patients have a higher age compared with females (by 5-10 years), and advanced stage, though have a similar prognosis by stage. Prognostic factors and treatment principles are same as females with multimodal approach of chemotherapy, radiation therapy, and hormone therapy.
CONCLUSIONS: IBC in men is very rare and awareness of its risk factors and presentation can lead to early diagnosis and better survival. Urgent referral to oncology is needed if index of suspicion is high. Further research is needed for defining best treatment modalities in elderly males.”
BACKGROUND: An 84-year-old male presented with a rapidly growing left breast mass associated with warmth, erythema, and serous discharge from left nipple for 2.5 months. Physical exam revealed ‘peau d’orange’ appearance of skin and a 3×7 cm, firm, irregular, fixed mass in left breast. Core needle biopsy of left breast revealed invasive ductal carcinoma and a computed tomography scan of chest showed multiple small pulmonary nodules. Patient was diagnosed with inflammatory breast carcinoma (Stage IV, cT4d cN1 cM1), ER/ PR positive, HER-2 positive. BRCA testing was negative. After a normal MUGA scan, patient was started on weekly paclitaxel and trastuzumab. After 4 cycles patient developed diarrhea and elected to stop paclitaxel. After 10 cycles of trastuzumab, patient developed signs of heart failure and a MUGA showed depressed left ventricular ejection fraction (LVEF). Trastuzumab was held and patient was started on tamoxifen. Patient had progression of primary mass into a fungating lesion and evidence of new pulmonary metastatic disease on tamoxifen. The primary lesion was treated with palliative radiation and after a subsequent MUGA scan showed normalization of LVEF; trastuzumab was resumed. Patient had stable disease on trastuzumab and continued to follow with oncology.
DISCUSSION: Male breast cancer is < 1% of all breast cancer but incidence is rising in the US. Risk factors include family history, BRCA2 > BRCA1, obesity, cirrhosis, and radiation exposure. Inflammatory breast cancer (IBC) is a rapidly progressive malignancy with a clinicopathological diagnosis. There are paucity of data of IBC in men due to rarity of the disease. Many patients initially are misdiagnosed with mastitis, unresponsive to antibiotics. At diagnosis, most patients have a higher age compared with females (by 5-10 years), and advanced stage, though have a similar prognosis by stage. Prognostic factors and treatment principles are same as females with multimodal approach of chemotherapy, radiation therapy, and hormone therapy.
CONCLUSIONS: IBC in men is very rare and awareness of its risk factors and presentation can lead to early diagnosis and better survival. Urgent referral to oncology is needed if index of suspicion is high. Further research is needed for defining best treatment modalities in elderly males.”
BACKGROUND: An 84-year-old male presented with a rapidly growing left breast mass associated with warmth, erythema, and serous discharge from left nipple for 2.5 months. Physical exam revealed ‘peau d’orange’ appearance of skin and a 3×7 cm, firm, irregular, fixed mass in left breast. Core needle biopsy of left breast revealed invasive ductal carcinoma and a computed tomography scan of chest showed multiple small pulmonary nodules. Patient was diagnosed with inflammatory breast carcinoma (Stage IV, cT4d cN1 cM1), ER/ PR positive, HER-2 positive. BRCA testing was negative. After a normal MUGA scan, patient was started on weekly paclitaxel and trastuzumab. After 4 cycles patient developed diarrhea and elected to stop paclitaxel. After 10 cycles of trastuzumab, patient developed signs of heart failure and a MUGA showed depressed left ventricular ejection fraction (LVEF). Trastuzumab was held and patient was started on tamoxifen. Patient had progression of primary mass into a fungating lesion and evidence of new pulmonary metastatic disease on tamoxifen. The primary lesion was treated with palliative radiation and after a subsequent MUGA scan showed normalization of LVEF; trastuzumab was resumed. Patient had stable disease on trastuzumab and continued to follow with oncology.
DISCUSSION: Male breast cancer is < 1% of all breast cancer but incidence is rising in the US. Risk factors include family history, BRCA2 > BRCA1, obesity, cirrhosis, and radiation exposure. Inflammatory breast cancer (IBC) is a rapidly progressive malignancy with a clinicopathological diagnosis. There are paucity of data of IBC in men due to rarity of the disease. Many patients initially are misdiagnosed with mastitis, unresponsive to antibiotics. At diagnosis, most patients have a higher age compared with females (by 5-10 years), and advanced stage, though have a similar prognosis by stage. Prognostic factors and treatment principles are same as females with multimodal approach of chemotherapy, radiation therapy, and hormone therapy.
CONCLUSIONS: IBC in men is very rare and awareness of its risk factors and presentation can lead to early diagnosis and better survival. Urgent referral to oncology is needed if index of suspicion is high. Further research is needed for defining best treatment modalities in elderly males.”
A Multi-Center Retrospective Study Evaluating Palliative Antineoplastic Therapy Administered and Medication De-escalation in Veteran Cancer Patients Toward the End-of-life
BACKGROUND: Metastatic cancer patients near endof- life often continue to receive aggressive cancer treatments and are prescribed many chronic futile medications. The American Society of Clinical Oncology recommends avoiding use of chemotherapy towards end of life in solid tumor patients with poor performance due to potential risk of adverse events.
OBJECTIVES: The objective of this multi-site study was to evaluate the incidence of palliative antineoplastic therapy administration for patients with metastatic cancer as well as the number of patients who received non-essential medications at thirty and fourteen days prior to death.
METHODS: This was a retrospective, multicenter study conducted at 6 Veteran Affairs Medical Centers: Southern Arizona, Lexington, Robley Rex, John D Dingell, San Diego, and Richard L Roudebush. The electronic medical record system identified patients deceased between July 1, 2016 to June 30, 2018 with metastatic lung, colorectal, prostate, pancreatic cancer, or melanoma. Data were analyzed using descriptive analysis.
RESULTS: A total of 651 patients were included in the multicenter study, and the average age of veterans was 71 years with metastatic lung cancer being the most common malignancy at 55%. Within 30 days and 14 days of death, respectively, 24.6% and 13.2% had an antineoplastic agent. Within the last 30 days of life, 45% of patients received systemic chemotherapy, 38% received oral targeted agent, and 17% received immunotherapy. Within last 30 days of life, 50% received a first line treatment, 26.9% received a second line treatment, and 23.2% received ≥ third line of treatment. There was a large proportion of patients hospitalized (n=208) and/ or had ED visits (n=204) due to antineoplastic treatment and/or complications from malignancy. Within the last 30 days of death, 76.3% had ≥ 1 active chronic medication. Palliative care providers were the top recommenders for medication de-escalation.
CONCLUSION: The results of this multi-site retrospective study provides insight into the management of endof- life care for metastatic cancer patients across the VA health care system. Overall the results of this study demonstrate an opportunity for promoting detailed discussions with patients regarding palliative care earlier after diagnosis of metastatic cancer.
BACKGROUND: Metastatic cancer patients near endof- life often continue to receive aggressive cancer treatments and are prescribed many chronic futile medications. The American Society of Clinical Oncology recommends avoiding use of chemotherapy towards end of life in solid tumor patients with poor performance due to potential risk of adverse events.
OBJECTIVES: The objective of this multi-site study was to evaluate the incidence of palliative antineoplastic therapy administration for patients with metastatic cancer as well as the number of patients who received non-essential medications at thirty and fourteen days prior to death.
METHODS: This was a retrospective, multicenter study conducted at 6 Veteran Affairs Medical Centers: Southern Arizona, Lexington, Robley Rex, John D Dingell, San Diego, and Richard L Roudebush. The electronic medical record system identified patients deceased between July 1, 2016 to June 30, 2018 with metastatic lung, colorectal, prostate, pancreatic cancer, or melanoma. Data were analyzed using descriptive analysis.
RESULTS: A total of 651 patients were included in the multicenter study, and the average age of veterans was 71 years with metastatic lung cancer being the most common malignancy at 55%. Within 30 days and 14 days of death, respectively, 24.6% and 13.2% had an antineoplastic agent. Within the last 30 days of life, 45% of patients received systemic chemotherapy, 38% received oral targeted agent, and 17% received immunotherapy. Within last 30 days of life, 50% received a first line treatment, 26.9% received a second line treatment, and 23.2% received ≥ third line of treatment. There was a large proportion of patients hospitalized (n=208) and/ or had ED visits (n=204) due to antineoplastic treatment and/or complications from malignancy. Within the last 30 days of death, 76.3% had ≥ 1 active chronic medication. Palliative care providers were the top recommenders for medication de-escalation.
CONCLUSION: The results of this multi-site retrospective study provides insight into the management of endof- life care for metastatic cancer patients across the VA health care system. Overall the results of this study demonstrate an opportunity for promoting detailed discussions with patients regarding palliative care earlier after diagnosis of metastatic cancer.
BACKGROUND: Metastatic cancer patients near endof- life often continue to receive aggressive cancer treatments and are prescribed many chronic futile medications. The American Society of Clinical Oncology recommends avoiding use of chemotherapy towards end of life in solid tumor patients with poor performance due to potential risk of adverse events.
OBJECTIVES: The objective of this multi-site study was to evaluate the incidence of palliative antineoplastic therapy administration for patients with metastatic cancer as well as the number of patients who received non-essential medications at thirty and fourteen days prior to death.
METHODS: This was a retrospective, multicenter study conducted at 6 Veteran Affairs Medical Centers: Southern Arizona, Lexington, Robley Rex, John D Dingell, San Diego, and Richard L Roudebush. The electronic medical record system identified patients deceased between July 1, 2016 to June 30, 2018 with metastatic lung, colorectal, prostate, pancreatic cancer, or melanoma. Data were analyzed using descriptive analysis.
RESULTS: A total of 651 patients were included in the multicenter study, and the average age of veterans was 71 years with metastatic lung cancer being the most common malignancy at 55%. Within 30 days and 14 days of death, respectively, 24.6% and 13.2% had an antineoplastic agent. Within the last 30 days of life, 45% of patients received systemic chemotherapy, 38% received oral targeted agent, and 17% received immunotherapy. Within last 30 days of life, 50% received a first line treatment, 26.9% received a second line treatment, and 23.2% received ≥ third line of treatment. There was a large proportion of patients hospitalized (n=208) and/ or had ED visits (n=204) due to antineoplastic treatment and/or complications from malignancy. Within the last 30 days of death, 76.3% had ≥ 1 active chronic medication. Palliative care providers were the top recommenders for medication de-escalation.
CONCLUSION: The results of this multi-site retrospective study provides insight into the management of endof- life care for metastatic cancer patients across the VA health care system. Overall the results of this study demonstrate an opportunity for promoting detailed discussions with patients regarding palliative care earlier after diagnosis of metastatic cancer.
A Cognitive-Behavioral Stress Management Group for Men with Urologic Cancers: Pre- and Post-COVID
BACKGROUND: Urologic cancers and their treatments are associated with significant psychosocial challenges for veteran men, including sexual dysfunction, incontinence, fatigue, irritability, and depression. Although cancer support groups have been shown to be helpful for psychosocial distress, cognitive-behavioral stress management techniques have the capacity to directly address these challenges.
METHODS: A structured, open-enrollment, 6-session biweekly group was created in late 2017 as a cooperative effort between the urology department and comprehensive cancer center of a large VA medical center. Topics were selected based on their relevance to the population: (1) stress and the mind-body connection; (2) mindfulness; (3) sexual functioning and incontinence; (4) pain and sleep; (5) communicating with providers; and (6) managing anger and irritability. A clinical psychologist and/or psychology resident led the sessions, which include demonstration and practice of relaxation and mindfulness techniques, didactic presentations, and discussion. Medical providers received the group well and provides and a regular stream of referrals. Typical group size was between 2-6, and a total of 42 veterans have attended group sessions. The group was previously physically located in the urology clinic, reducing barriers and potentially stigma of access this type of service. After March 2020, the group transitioned to a weekly telephone- based group, continuing the same skills and topics, with good engagement and feedback from group members.
RESULTS: Group members have voiced increased confidence in managing their conditions and communicating with their providers, relief that they are not alone in their experience of potentially embarrassing side effects, and increased use of evidence-based stress management techniques.
CONCLUSION: Continuing this type of service during the COVID-19 pandemic has been important to help veteran manage the stress of postponed treatments (eg, radiation for prostate cancer), share information about hospital policies and procedures, and increase social connectedness with other similar patients.
BACKGROUND: Urologic cancers and their treatments are associated with significant psychosocial challenges for veteran men, including sexual dysfunction, incontinence, fatigue, irritability, and depression. Although cancer support groups have been shown to be helpful for psychosocial distress, cognitive-behavioral stress management techniques have the capacity to directly address these challenges.
METHODS: A structured, open-enrollment, 6-session biweekly group was created in late 2017 as a cooperative effort between the urology department and comprehensive cancer center of a large VA medical center. Topics were selected based on their relevance to the population: (1) stress and the mind-body connection; (2) mindfulness; (3) sexual functioning and incontinence; (4) pain and sleep; (5) communicating with providers; and (6) managing anger and irritability. A clinical psychologist and/or psychology resident led the sessions, which include demonstration and practice of relaxation and mindfulness techniques, didactic presentations, and discussion. Medical providers received the group well and provides and a regular stream of referrals. Typical group size was between 2-6, and a total of 42 veterans have attended group sessions. The group was previously physically located in the urology clinic, reducing barriers and potentially stigma of access this type of service. After March 2020, the group transitioned to a weekly telephone- based group, continuing the same skills and topics, with good engagement and feedback from group members.
RESULTS: Group members have voiced increased confidence in managing their conditions and communicating with their providers, relief that they are not alone in their experience of potentially embarrassing side effects, and increased use of evidence-based stress management techniques.
CONCLUSION: Continuing this type of service during the COVID-19 pandemic has been important to help veteran manage the stress of postponed treatments (eg, radiation for prostate cancer), share information about hospital policies and procedures, and increase social connectedness with other similar patients.
BACKGROUND: Urologic cancers and their treatments are associated with significant psychosocial challenges for veteran men, including sexual dysfunction, incontinence, fatigue, irritability, and depression. Although cancer support groups have been shown to be helpful for psychosocial distress, cognitive-behavioral stress management techniques have the capacity to directly address these challenges.
METHODS: A structured, open-enrollment, 6-session biweekly group was created in late 2017 as a cooperative effort between the urology department and comprehensive cancer center of a large VA medical center. Topics were selected based on their relevance to the population: (1) stress and the mind-body connection; (2) mindfulness; (3) sexual functioning and incontinence; (4) pain and sleep; (5) communicating with providers; and (6) managing anger and irritability. A clinical psychologist and/or psychology resident led the sessions, which include demonstration and practice of relaxation and mindfulness techniques, didactic presentations, and discussion. Medical providers received the group well and provides and a regular stream of referrals. Typical group size was between 2-6, and a total of 42 veterans have attended group sessions. The group was previously physically located in the urology clinic, reducing barriers and potentially stigma of access this type of service. After March 2020, the group transitioned to a weekly telephone- based group, continuing the same skills and topics, with good engagement and feedback from group members.
RESULTS: Group members have voiced increased confidence in managing their conditions and communicating with their providers, relief that they are not alone in their experience of potentially embarrassing side effects, and increased use of evidence-based stress management techniques.
CONCLUSION: Continuing this type of service during the COVID-19 pandemic has been important to help veteran manage the stress of postponed treatments (eg, radiation for prostate cancer), share information about hospital policies and procedures, and increase social connectedness with other similar patients.
A Case of Alectinib Cutaneous Toxicity and Results of a Desensitization Protocol
CASE REPORT: A male smoker aged 51 years with denovo metastatic NSCLC was treated with first-line chemoimmunotherapy. After 4 cycles, an EML4-ALK fusion was identified. At time of disease progression, alectinib 600mg BID was started after an 8-week washout period. Within 2 weeks, he developed a pruritic rash covering 90% of his BSA that required hospitalization and IV steroids. Biopsy confirmed a spongiotic and interface dermatitis with eosinophils consistent with a drug eruption. Rash was reported as an adverse event in the ALEX trial in 17% of patients treated with front-line alectinib but grade 3 rash was reported in only 1%.
A literature search demonstrated successful case reports of alectinib de-sensitization and thus a de-sensitization protocol was devised. Alectinib was started at 150mg daily and increased to 300mg BID over 2 weeks. His rash worsened resulting in a drug hold, treatment with oral prednisone, and a dose reduction to 300mg daily. The dose was increased to 300mg/450mg over 1 week when he developed painful mouth erosions. This resulted in a second dose hold and reduction to 300mg BID. After 2 weeks, alectinib was discontinued due to worsening rash with a plan to switch to an alternate ALK TKI, a strategy which has been successfully reported in the literature. Lorlatinib 100mg was recommended given phase 2 data demonstrating very low rates of rash (5% grade 1-2 and < 1% grade 3). While he did experience a facial rash within 2 weeks, a dose hold or reduction was not required. Nonetheless, lorlatinib was discontinued after 4 weeks due to other intolerable side effects and hypertriglyceridemia
DISCUSSION: Pembrolizumab has a terminal half-life of 22 days with steady state reached at 16 weeks with every 3-week dosing. It is therefore possible that prior exposure to pembrolizumab exacerbated the cutaneous toxicity of alectinib in this case. Multiple studies have shown that combining immunotherapy with alectinib leads to substantially more adverse events.
CONCLUSION: In patients with alectinib hypersensitivity, a de-sensitization protocol can be attempted. If hypersensitivity recurs, switching to an alternate ALK TKI is warranted. However, if immunotherapy has been previously administered without time for adequate washout, no TKI therapy may be tolerable.
CASE REPORT: A male smoker aged 51 years with denovo metastatic NSCLC was treated with first-line chemoimmunotherapy. After 4 cycles, an EML4-ALK fusion was identified. At time of disease progression, alectinib 600mg BID was started after an 8-week washout period. Within 2 weeks, he developed a pruritic rash covering 90% of his BSA that required hospitalization and IV steroids. Biopsy confirmed a spongiotic and interface dermatitis with eosinophils consistent with a drug eruption. Rash was reported as an adverse event in the ALEX trial in 17% of patients treated with front-line alectinib but grade 3 rash was reported in only 1%.
A literature search demonstrated successful case reports of alectinib de-sensitization and thus a de-sensitization protocol was devised. Alectinib was started at 150mg daily and increased to 300mg BID over 2 weeks. His rash worsened resulting in a drug hold, treatment with oral prednisone, and a dose reduction to 300mg daily. The dose was increased to 300mg/450mg over 1 week when he developed painful mouth erosions. This resulted in a second dose hold and reduction to 300mg BID. After 2 weeks, alectinib was discontinued due to worsening rash with a plan to switch to an alternate ALK TKI, a strategy which has been successfully reported in the literature. Lorlatinib 100mg was recommended given phase 2 data demonstrating very low rates of rash (5% grade 1-2 and < 1% grade 3). While he did experience a facial rash within 2 weeks, a dose hold or reduction was not required. Nonetheless, lorlatinib was discontinued after 4 weeks due to other intolerable side effects and hypertriglyceridemia
DISCUSSION: Pembrolizumab has a terminal half-life of 22 days with steady state reached at 16 weeks with every 3-week dosing. It is therefore possible that prior exposure to pembrolizumab exacerbated the cutaneous toxicity of alectinib in this case. Multiple studies have shown that combining immunotherapy with alectinib leads to substantially more adverse events.
CONCLUSION: In patients with alectinib hypersensitivity, a de-sensitization protocol can be attempted. If hypersensitivity recurs, switching to an alternate ALK TKI is warranted. However, if immunotherapy has been previously administered without time for adequate washout, no TKI therapy may be tolerable.
CASE REPORT: A male smoker aged 51 years with denovo metastatic NSCLC was treated with first-line chemoimmunotherapy. After 4 cycles, an EML4-ALK fusion was identified. At time of disease progression, alectinib 600mg BID was started after an 8-week washout period. Within 2 weeks, he developed a pruritic rash covering 90% of his BSA that required hospitalization and IV steroids. Biopsy confirmed a spongiotic and interface dermatitis with eosinophils consistent with a drug eruption. Rash was reported as an adverse event in the ALEX trial in 17% of patients treated with front-line alectinib but grade 3 rash was reported in only 1%.
A literature search demonstrated successful case reports of alectinib de-sensitization and thus a de-sensitization protocol was devised. Alectinib was started at 150mg daily and increased to 300mg BID over 2 weeks. His rash worsened resulting in a drug hold, treatment with oral prednisone, and a dose reduction to 300mg daily. The dose was increased to 300mg/450mg over 1 week when he developed painful mouth erosions. This resulted in a second dose hold and reduction to 300mg BID. After 2 weeks, alectinib was discontinued due to worsening rash with a plan to switch to an alternate ALK TKI, a strategy which has been successfully reported in the literature. Lorlatinib 100mg was recommended given phase 2 data demonstrating very low rates of rash (5% grade 1-2 and < 1% grade 3). While he did experience a facial rash within 2 weeks, a dose hold or reduction was not required. Nonetheless, lorlatinib was discontinued after 4 weeks due to other intolerable side effects and hypertriglyceridemia
DISCUSSION: Pembrolizumab has a terminal half-life of 22 days with steady state reached at 16 weeks with every 3-week dosing. It is therefore possible that prior exposure to pembrolizumab exacerbated the cutaneous toxicity of alectinib in this case. Multiple studies have shown that combining immunotherapy with alectinib leads to substantially more adverse events.
CONCLUSION: In patients with alectinib hypersensitivity, a de-sensitization protocol can be attempted. If hypersensitivity recurs, switching to an alternate ALK TKI is warranted. However, if immunotherapy has been previously administered without time for adequate washout, no TKI therapy may be tolerable.
The joys of telemedicine
Another great morning,
Here goes. I’ll invite Gretchen by text: 617-555-5555. “TOO LONG.” How can 10 digits be too long? Trying again: 617-555-5555. “TOO LONG!” What the heck, let me leave off the last digit: 617-555-555. “TOO SHORT.”
Never mind, I’ll invite her by email.
Five minutes have gone by. Better call to see if she got the invite.
“Hello, is this Gretchen? Don’t hang up, I’m not a telemarketer! This is Dr. Rockoff. I sent you an invitation for our computer visit.
“You got it, great. Yes, you have to click on it to sign in. I know, your appointment’s at 8:30. It’s now 8:28. Let’s start early, why not?
“Hi, there! I can see you. Can you hear me? You’re nodding and your lips are moving. I can’t hear you. Did you enable your microphone?
“Nope, still can’t hear. I’ll call your cell, and we’ll talk that way.
“Yes, it’s me, Dr. Rockoff. What’s that? You enabled the microphone along with your video when you logged on? Well, there we go. How can I help today?
“You want a refill on your tretinoin gel for age management? Not a problem. Let’s see, you’ve been using it since 1996. No, you look great! Not a day over 76, really! I’ll have the staff escribe it right over.
“Okay, take care. Three years should be about right. Happy 80th!”
Wonder what happened there. Maybe things will go better for the next patient. Okay, I’m emailing an invite to Rob.
There he is! “Hi. Can you see me? Hear me? Nope, can’t hear you. Let me just call your cell.”
Okay, 972-555-5555. Ringing ... oh no, right to voicemail. “You have reached 972-555-5555. The mailbox is full and cannot accept messages. Please try some other time.”
“Okay, I’m back with you on the screen, Rob. Nope, still can’t hear you. I tried your cell but it went to voicemail. Yes, I see you’re holding the phone in your hand. Let me try you again.
“972-555-5555. Right to voicemail. Doesn’t your phone ring? You never make voice calls, only send texts? Look, please call me: 781-555-5555, write it down.
“Excellent, we’re in business. You’re worried about a mole that’s changing. You sent a photo to the office. Great, I’ll look right now on your record ... nope, not uploaded. Can you email me the photo? Please write down my email address: alanrockoffmdskincarespecialistist@myfabuloustelemedicineportal.now. Got that? Okay, please send the picture ...
“Returned as undeliverable? Show me what you typed ... Oh, wait. It’s ‘telemedicine,’ not ‘TellaMedicine.’ ” Yeah, that should do it.
“Okay, got the picture. You do fabulous super-closeups! Is that your navel next to it? Your left nostril? Okay. You tried to razor off the hair growing out it? Yes, that could account for the bleeding. Tell you what, go easy on it for the next 2 weeks, and send me another picture. Same email address.
“You have another question? Sure. You want a refill of your clindamycin gel because the tube from 2013 ran out? Guess you haven’t grown out of your acne yet. Sure, happy to send it in for you. Same pharmacy we have on file? You’re bunking with your parents in Wichita? No problem. Just need the pharmacy name and street. Boston, Wichita, whatever.
“Sure, happy to help. Enjoy your stay with your parents. You’ve been there 4 months? Are you cleaning your room? Mostly? Good. Take care. I’ll respond to your email in 2 weeks. Meantime, you might empty out your full voicemail box ... Oh, right, your generation only texts ...”
Okay, one more. Here’s Henrietta. I emailed her an invitation ... Holy Cow, she’s checked in! Let’s see, click “Join.” I can see her!
“Henrietta, is that you? Can you hear me? You can? You can hear me! Henrietta can hear me! And I can hear her!
“Yes, Henrietta, I’m all right. Just doing cartwheels around my study. Between COVID and the 95-degree heat and 100% humidity, it’s all the exercise I get.
“How can I help you today?
“Henrietta? HENRIETTA! Where have you gone, Henrietta?”
THERE IS A PROBLEM WITH YOUR CALL. DISCONNECT YOUR ROUTER, WAIT 65 SECONDS, RECONNECT, THEN RESTART YOUR WIFI, AND LOG IN AGAIN.
Maybe it’s time to go back to the office. A face shield and HAZMAT suit are sounding better all the time.
Dr. Rockoff, who wrote the Dermatology News column “Under My Skin,” is now semiretired after 40 years of practice in Brookline, Mass. He served on the clinical faculty at Tufts University, Boston, and taught senior medical students and other trainees for 30 years. His second book, “Act Like a Doctor, Think Like a Patient,” is available online. Write to him at [email protected].
Another great morning,
Here goes. I’ll invite Gretchen by text: 617-555-5555. “TOO LONG.” How can 10 digits be too long? Trying again: 617-555-5555. “TOO LONG!” What the heck, let me leave off the last digit: 617-555-555. “TOO SHORT.”
Never mind, I’ll invite her by email.
Five minutes have gone by. Better call to see if she got the invite.
“Hello, is this Gretchen? Don’t hang up, I’m not a telemarketer! This is Dr. Rockoff. I sent you an invitation for our computer visit.
“You got it, great. Yes, you have to click on it to sign in. I know, your appointment’s at 8:30. It’s now 8:28. Let’s start early, why not?
“Hi, there! I can see you. Can you hear me? You’re nodding and your lips are moving. I can’t hear you. Did you enable your microphone?
“Nope, still can’t hear. I’ll call your cell, and we’ll talk that way.
“Yes, it’s me, Dr. Rockoff. What’s that? You enabled the microphone along with your video when you logged on? Well, there we go. How can I help today?
“You want a refill on your tretinoin gel for age management? Not a problem. Let’s see, you’ve been using it since 1996. No, you look great! Not a day over 76, really! I’ll have the staff escribe it right over.
“Okay, take care. Three years should be about right. Happy 80th!”
Wonder what happened there. Maybe things will go better for the next patient. Okay, I’m emailing an invite to Rob.
There he is! “Hi. Can you see me? Hear me? Nope, can’t hear you. Let me just call your cell.”
Okay, 972-555-5555. Ringing ... oh no, right to voicemail. “You have reached 972-555-5555. The mailbox is full and cannot accept messages. Please try some other time.”
“Okay, I’m back with you on the screen, Rob. Nope, still can’t hear you. I tried your cell but it went to voicemail. Yes, I see you’re holding the phone in your hand. Let me try you again.
“972-555-5555. Right to voicemail. Doesn’t your phone ring? You never make voice calls, only send texts? Look, please call me: 781-555-5555, write it down.
“Excellent, we’re in business. You’re worried about a mole that’s changing. You sent a photo to the office. Great, I’ll look right now on your record ... nope, not uploaded. Can you email me the photo? Please write down my email address: alanrockoffmdskincarespecialistist@myfabuloustelemedicineportal.now. Got that? Okay, please send the picture ...
“Returned as undeliverable? Show me what you typed ... Oh, wait. It’s ‘telemedicine,’ not ‘TellaMedicine.’ ” Yeah, that should do it.
“Okay, got the picture. You do fabulous super-closeups! Is that your navel next to it? Your left nostril? Okay. You tried to razor off the hair growing out it? Yes, that could account for the bleeding. Tell you what, go easy on it for the next 2 weeks, and send me another picture. Same email address.
“You have another question? Sure. You want a refill of your clindamycin gel because the tube from 2013 ran out? Guess you haven’t grown out of your acne yet. Sure, happy to send it in for you. Same pharmacy we have on file? You’re bunking with your parents in Wichita? No problem. Just need the pharmacy name and street. Boston, Wichita, whatever.
“Sure, happy to help. Enjoy your stay with your parents. You’ve been there 4 months? Are you cleaning your room? Mostly? Good. Take care. I’ll respond to your email in 2 weeks. Meantime, you might empty out your full voicemail box ... Oh, right, your generation only texts ...”
Okay, one more. Here’s Henrietta. I emailed her an invitation ... Holy Cow, she’s checked in! Let’s see, click “Join.” I can see her!
“Henrietta, is that you? Can you hear me? You can? You can hear me! Henrietta can hear me! And I can hear her!
“Yes, Henrietta, I’m all right. Just doing cartwheels around my study. Between COVID and the 95-degree heat and 100% humidity, it’s all the exercise I get.
“How can I help you today?
“Henrietta? HENRIETTA! Where have you gone, Henrietta?”
THERE IS A PROBLEM WITH YOUR CALL. DISCONNECT YOUR ROUTER, WAIT 65 SECONDS, RECONNECT, THEN RESTART YOUR WIFI, AND LOG IN AGAIN.
Maybe it’s time to go back to the office. A face shield and HAZMAT suit are sounding better all the time.
Dr. Rockoff, who wrote the Dermatology News column “Under My Skin,” is now semiretired after 40 years of practice in Brookline, Mass. He served on the clinical faculty at Tufts University, Boston, and taught senior medical students and other trainees for 30 years. His second book, “Act Like a Doctor, Think Like a Patient,” is available online. Write to him at [email protected].
Another great morning,
Here goes. I’ll invite Gretchen by text: 617-555-5555. “TOO LONG.” How can 10 digits be too long? Trying again: 617-555-5555. “TOO LONG!” What the heck, let me leave off the last digit: 617-555-555. “TOO SHORT.”
Never mind, I’ll invite her by email.
Five minutes have gone by. Better call to see if she got the invite.
“Hello, is this Gretchen? Don’t hang up, I’m not a telemarketer! This is Dr. Rockoff. I sent you an invitation for our computer visit.
“You got it, great. Yes, you have to click on it to sign in. I know, your appointment’s at 8:30. It’s now 8:28. Let’s start early, why not?
“Hi, there! I can see you. Can you hear me? You’re nodding and your lips are moving. I can’t hear you. Did you enable your microphone?
“Nope, still can’t hear. I’ll call your cell, and we’ll talk that way.
“Yes, it’s me, Dr. Rockoff. What’s that? You enabled the microphone along with your video when you logged on? Well, there we go. How can I help today?
“You want a refill on your tretinoin gel for age management? Not a problem. Let’s see, you’ve been using it since 1996. No, you look great! Not a day over 76, really! I’ll have the staff escribe it right over.
“Okay, take care. Three years should be about right. Happy 80th!”
Wonder what happened there. Maybe things will go better for the next patient. Okay, I’m emailing an invite to Rob.
There he is! “Hi. Can you see me? Hear me? Nope, can’t hear you. Let me just call your cell.”
Okay, 972-555-5555. Ringing ... oh no, right to voicemail. “You have reached 972-555-5555. The mailbox is full and cannot accept messages. Please try some other time.”
“Okay, I’m back with you on the screen, Rob. Nope, still can’t hear you. I tried your cell but it went to voicemail. Yes, I see you’re holding the phone in your hand. Let me try you again.
“972-555-5555. Right to voicemail. Doesn’t your phone ring? You never make voice calls, only send texts? Look, please call me: 781-555-5555, write it down.
“Excellent, we’re in business. You’re worried about a mole that’s changing. You sent a photo to the office. Great, I’ll look right now on your record ... nope, not uploaded. Can you email me the photo? Please write down my email address: alanrockoffmdskincarespecialistist@myfabuloustelemedicineportal.now. Got that? Okay, please send the picture ...
“Returned as undeliverable? Show me what you typed ... Oh, wait. It’s ‘telemedicine,’ not ‘TellaMedicine.’ ” Yeah, that should do it.
“Okay, got the picture. You do fabulous super-closeups! Is that your navel next to it? Your left nostril? Okay. You tried to razor off the hair growing out it? Yes, that could account for the bleeding. Tell you what, go easy on it for the next 2 weeks, and send me another picture. Same email address.
“You have another question? Sure. You want a refill of your clindamycin gel because the tube from 2013 ran out? Guess you haven’t grown out of your acne yet. Sure, happy to send it in for you. Same pharmacy we have on file? You’re bunking with your parents in Wichita? No problem. Just need the pharmacy name and street. Boston, Wichita, whatever.
“Sure, happy to help. Enjoy your stay with your parents. You’ve been there 4 months? Are you cleaning your room? Mostly? Good. Take care. I’ll respond to your email in 2 weeks. Meantime, you might empty out your full voicemail box ... Oh, right, your generation only texts ...”
Okay, one more. Here’s Henrietta. I emailed her an invitation ... Holy Cow, she’s checked in! Let’s see, click “Join.” I can see her!
“Henrietta, is that you? Can you hear me? You can? You can hear me! Henrietta can hear me! And I can hear her!
“Yes, Henrietta, I’m all right. Just doing cartwheels around my study. Between COVID and the 95-degree heat and 100% humidity, it’s all the exercise I get.
“How can I help you today?
“Henrietta? HENRIETTA! Where have you gone, Henrietta?”
THERE IS A PROBLEM WITH YOUR CALL. DISCONNECT YOUR ROUTER, WAIT 65 SECONDS, RECONNECT, THEN RESTART YOUR WIFI, AND LOG IN AGAIN.
Maybe it’s time to go back to the office. A face shield and HAZMAT suit are sounding better all the time.
Dr. Rockoff, who wrote the Dermatology News column “Under My Skin,” is now semiretired after 40 years of practice in Brookline, Mass. He served on the clinical faculty at Tufts University, Boston, and taught senior medical students and other trainees for 30 years. His second book, “Act Like a Doctor, Think Like a Patient,” is available online. Write to him at [email protected].
Obesity boosts risks in COVID-19 from diagnosis to death
A new analysis of existing research confirms a stark link between excess weight and COVID-19:
Obese patients faced the greatest bump in risk on the hospitalization front, with their odds of being admitted listed as 113% higher. The odds of diagnosis, ICU admission, and death were 46% higher (odds ratio [OR], 1.46; 95% confidence interval [CI], 1.30-1.65; P < .0001); 74% higher (OR, 1.74, CI, 1.46-2.08, P < .0001); 48% (OR, 1.48, CI, 1.22–1.80, P < .001, all pooled analyses and 95% CI), respectively. All differences were highly significantly different, investigators reported in a systematic review and meta-analysis published online Aug. 26 in Obesity Reviews.
“Essentially, these are pretty scary statistics,” nutrition researcher and study lead author Barry M. Popkin, PhD, of the University of North Carolina at Chapel Hill School of Public Health, said in an interview. “Other studies have talked about an increase in mortality, and we were thinking there’d be a little increase like 10% – nothing like 48%.”
According to the Johns Hopkins University of Medicine tracker, nearly 6 million people in the United States had been diagnosed with COVID-19 as of Aug. 30. The number of deaths had surpassed 183,000.
The authors of the new review launched their project to better understand the link between obesity and COVID-19 “all the way from being diagnosed to death,” Dr. Popkin said, adding that the meta-analysis is the largest of its kind to examine the link.
Dr. Popkin and colleagues analyzed 75 studies during January to June 2020 that tracked 399,461 patients (55% of whom were male) diagnosed with COVID-19. They found that 18 of 20 studies linked obesity with a 46% higher risk of diagnosis, but Dr. Popkin cautioned that this may be misleading. “I suspect it’s because they’re sicker and getting tested more for COVID,” he said. “I don’t think obesity enhances your likelihood of getting COVID. We don’t have a biological rationale for that.”
The researchers examined 19 studies that explored a link between obesity and hospitalization; all 19 found a higher risk of hospitalization in patients with obesity (pooled OR, 2.13). Twenty-one of 22 studies that looked at ICU admissions discovered a higher risk for patients with obesity (pooled OR, 1.74). And 27 of 35 studies that examined COVID-19 mortality found a higher death rate in patients with obesity (pooled OR, 1.48).
The review also looked at 14 studies that examined links between obesity and administration of invasive mechanical ventilation. All the studies found a higher risk for patients with obesity (pooled OR, 1.66; 95% CI, 1.38-1.99; P < .0001).
Could socioeconomic factors explain the difference in risk for people with obesity? It’s not clear. According to Dr. Popkin, most of the studies don’t examine factors such as income. While he believes physical factors are the key to the higher risk, he said “there’s clearly a social side to this.”
On the biological front, it appears that “the immune system is much weaker if you’re obese,” he said, and excess weight may worsen the course of a respiratory disease such as COVID-19 because of lung disorders such as sleep apnea.
In addition to highlighting inflammation and a weakened immune system, the review offers multiple explanations for why patients with obesity face worse outcomes in COVID-19. It may be more difficult for medical professionals to care for them in the hospital because of their weight, the authors wrote, and “obesity may also impair therapeutic treatments during COVID-19 infections.” The authors noted that ACE inhibitors may worsen COVID-19 in patients with type 2 diabetes.
The researchers noted that “potentially the vaccines developed to address COVID-19 will be less effective for individuals with obesity due to a weakened immune response.” They pointed to research that suggests T-cell responses are weaker and antibody titers wane at a faster rate in people with obesity who are vaccinated against influenza.
Pulmonologist Joshua L. Denson, MD, MS, of Tulane University, New Orleans, praised the review in an interview, but noted that some of the included studies have wide confidence intervals. One study that links COVID-19 to a sixfold higher mortality rate (OR, 6.29) has a confidence interval of 1.76-22.45.
Dr. Denson said he’s seen about 100 patients with COVID-19, and many are obese and have metabolic syndrome.
Like the authors of the study, he believes higher levels of inflammation play a crucial role in making these patients more vulnerable. “For whatever reason, the virus tends to really like that state. That’s driving these people to get sick,” he said.
Moving forward, Dr. Popkin urged physicians to redouble their efforts to warn patients about the risks of obesity and the importance of healthy eating. He also said COVID-19 vaccine researchers must stratify obese vs. nonobese subjects in clinical trials.
The review was funded by Bloomberg Philanthropies, the Carolina Population Center, World Bank, and Saudi Health Council. The review authors report no relevant disclosures. Dr. Denson reports no relevant disclosures.
SOURCE: Popkin BM et al. Obes Rev. 2020 Aug 26. doi: 10.1111/obr.13128.
A new analysis of existing research confirms a stark link between excess weight and COVID-19:
Obese patients faced the greatest bump in risk on the hospitalization front, with their odds of being admitted listed as 113% higher. The odds of diagnosis, ICU admission, and death were 46% higher (odds ratio [OR], 1.46; 95% confidence interval [CI], 1.30-1.65; P < .0001); 74% higher (OR, 1.74, CI, 1.46-2.08, P < .0001); 48% (OR, 1.48, CI, 1.22–1.80, P < .001, all pooled analyses and 95% CI), respectively. All differences were highly significantly different, investigators reported in a systematic review and meta-analysis published online Aug. 26 in Obesity Reviews.
“Essentially, these are pretty scary statistics,” nutrition researcher and study lead author Barry M. Popkin, PhD, of the University of North Carolina at Chapel Hill School of Public Health, said in an interview. “Other studies have talked about an increase in mortality, and we were thinking there’d be a little increase like 10% – nothing like 48%.”
According to the Johns Hopkins University of Medicine tracker, nearly 6 million people in the United States had been diagnosed with COVID-19 as of Aug. 30. The number of deaths had surpassed 183,000.
The authors of the new review launched their project to better understand the link between obesity and COVID-19 “all the way from being diagnosed to death,” Dr. Popkin said, adding that the meta-analysis is the largest of its kind to examine the link.
Dr. Popkin and colleagues analyzed 75 studies during January to June 2020 that tracked 399,461 patients (55% of whom were male) diagnosed with COVID-19. They found that 18 of 20 studies linked obesity with a 46% higher risk of diagnosis, but Dr. Popkin cautioned that this may be misleading. “I suspect it’s because they’re sicker and getting tested more for COVID,” he said. “I don’t think obesity enhances your likelihood of getting COVID. We don’t have a biological rationale for that.”
The researchers examined 19 studies that explored a link between obesity and hospitalization; all 19 found a higher risk of hospitalization in patients with obesity (pooled OR, 2.13). Twenty-one of 22 studies that looked at ICU admissions discovered a higher risk for patients with obesity (pooled OR, 1.74). And 27 of 35 studies that examined COVID-19 mortality found a higher death rate in patients with obesity (pooled OR, 1.48).
The review also looked at 14 studies that examined links between obesity and administration of invasive mechanical ventilation. All the studies found a higher risk for patients with obesity (pooled OR, 1.66; 95% CI, 1.38-1.99; P < .0001).
Could socioeconomic factors explain the difference in risk for people with obesity? It’s not clear. According to Dr. Popkin, most of the studies don’t examine factors such as income. While he believes physical factors are the key to the higher risk, he said “there’s clearly a social side to this.”
On the biological front, it appears that “the immune system is much weaker if you’re obese,” he said, and excess weight may worsen the course of a respiratory disease such as COVID-19 because of lung disorders such as sleep apnea.
In addition to highlighting inflammation and a weakened immune system, the review offers multiple explanations for why patients with obesity face worse outcomes in COVID-19. It may be more difficult for medical professionals to care for them in the hospital because of their weight, the authors wrote, and “obesity may also impair therapeutic treatments during COVID-19 infections.” The authors noted that ACE inhibitors may worsen COVID-19 in patients with type 2 diabetes.
The researchers noted that “potentially the vaccines developed to address COVID-19 will be less effective for individuals with obesity due to a weakened immune response.” They pointed to research that suggests T-cell responses are weaker and antibody titers wane at a faster rate in people with obesity who are vaccinated against influenza.
Pulmonologist Joshua L. Denson, MD, MS, of Tulane University, New Orleans, praised the review in an interview, but noted that some of the included studies have wide confidence intervals. One study that links COVID-19 to a sixfold higher mortality rate (OR, 6.29) has a confidence interval of 1.76-22.45.
Dr. Denson said he’s seen about 100 patients with COVID-19, and many are obese and have metabolic syndrome.
Like the authors of the study, he believes higher levels of inflammation play a crucial role in making these patients more vulnerable. “For whatever reason, the virus tends to really like that state. That’s driving these people to get sick,” he said.
Moving forward, Dr. Popkin urged physicians to redouble their efforts to warn patients about the risks of obesity and the importance of healthy eating. He also said COVID-19 vaccine researchers must stratify obese vs. nonobese subjects in clinical trials.
The review was funded by Bloomberg Philanthropies, the Carolina Population Center, World Bank, and Saudi Health Council. The review authors report no relevant disclosures. Dr. Denson reports no relevant disclosures.
SOURCE: Popkin BM et al. Obes Rev. 2020 Aug 26. doi: 10.1111/obr.13128.
A new analysis of existing research confirms a stark link between excess weight and COVID-19:
Obese patients faced the greatest bump in risk on the hospitalization front, with their odds of being admitted listed as 113% higher. The odds of diagnosis, ICU admission, and death were 46% higher (odds ratio [OR], 1.46; 95% confidence interval [CI], 1.30-1.65; P < .0001); 74% higher (OR, 1.74, CI, 1.46-2.08, P < .0001); 48% (OR, 1.48, CI, 1.22–1.80, P < .001, all pooled analyses and 95% CI), respectively. All differences were highly significantly different, investigators reported in a systematic review and meta-analysis published online Aug. 26 in Obesity Reviews.
“Essentially, these are pretty scary statistics,” nutrition researcher and study lead author Barry M. Popkin, PhD, of the University of North Carolina at Chapel Hill School of Public Health, said in an interview. “Other studies have talked about an increase in mortality, and we were thinking there’d be a little increase like 10% – nothing like 48%.”
According to the Johns Hopkins University of Medicine tracker, nearly 6 million people in the United States had been diagnosed with COVID-19 as of Aug. 30. The number of deaths had surpassed 183,000.
The authors of the new review launched their project to better understand the link between obesity and COVID-19 “all the way from being diagnosed to death,” Dr. Popkin said, adding that the meta-analysis is the largest of its kind to examine the link.
Dr. Popkin and colleagues analyzed 75 studies during January to June 2020 that tracked 399,461 patients (55% of whom were male) diagnosed with COVID-19. They found that 18 of 20 studies linked obesity with a 46% higher risk of diagnosis, but Dr. Popkin cautioned that this may be misleading. “I suspect it’s because they’re sicker and getting tested more for COVID,” he said. “I don’t think obesity enhances your likelihood of getting COVID. We don’t have a biological rationale for that.”
The researchers examined 19 studies that explored a link between obesity and hospitalization; all 19 found a higher risk of hospitalization in patients with obesity (pooled OR, 2.13). Twenty-one of 22 studies that looked at ICU admissions discovered a higher risk for patients with obesity (pooled OR, 1.74). And 27 of 35 studies that examined COVID-19 mortality found a higher death rate in patients with obesity (pooled OR, 1.48).
The review also looked at 14 studies that examined links between obesity and administration of invasive mechanical ventilation. All the studies found a higher risk for patients with obesity (pooled OR, 1.66; 95% CI, 1.38-1.99; P < .0001).
Could socioeconomic factors explain the difference in risk for people with obesity? It’s not clear. According to Dr. Popkin, most of the studies don’t examine factors such as income. While he believes physical factors are the key to the higher risk, he said “there’s clearly a social side to this.”
On the biological front, it appears that “the immune system is much weaker if you’re obese,” he said, and excess weight may worsen the course of a respiratory disease such as COVID-19 because of lung disorders such as sleep apnea.
In addition to highlighting inflammation and a weakened immune system, the review offers multiple explanations for why patients with obesity face worse outcomes in COVID-19. It may be more difficult for medical professionals to care for them in the hospital because of their weight, the authors wrote, and “obesity may also impair therapeutic treatments during COVID-19 infections.” The authors noted that ACE inhibitors may worsen COVID-19 in patients with type 2 diabetes.
The researchers noted that “potentially the vaccines developed to address COVID-19 will be less effective for individuals with obesity due to a weakened immune response.” They pointed to research that suggests T-cell responses are weaker and antibody titers wane at a faster rate in people with obesity who are vaccinated against influenza.
Pulmonologist Joshua L. Denson, MD, MS, of Tulane University, New Orleans, praised the review in an interview, but noted that some of the included studies have wide confidence intervals. One study that links COVID-19 to a sixfold higher mortality rate (OR, 6.29) has a confidence interval of 1.76-22.45.
Dr. Denson said he’s seen about 100 patients with COVID-19, and many are obese and have metabolic syndrome.
Like the authors of the study, he believes higher levels of inflammation play a crucial role in making these patients more vulnerable. “For whatever reason, the virus tends to really like that state. That’s driving these people to get sick,” he said.
Moving forward, Dr. Popkin urged physicians to redouble their efforts to warn patients about the risks of obesity and the importance of healthy eating. He also said COVID-19 vaccine researchers must stratify obese vs. nonobese subjects in clinical trials.
The review was funded by Bloomberg Philanthropies, the Carolina Population Center, World Bank, and Saudi Health Council. The review authors report no relevant disclosures. Dr. Denson reports no relevant disclosures.
SOURCE: Popkin BM et al. Obes Rev. 2020 Aug 26. doi: 10.1111/obr.13128.
FROM OBESITY REVIEWS