Breast Cancer ICYMI

Meralgia paresthetica (MP) is a sensory mononeuropathy of the lateral femoral cutaneous nerve (LFCN), clinically characterized by numbness, pain, and paresthesias involving the anterolateral aspect of the thigh. Estimates of MP incidence are derived largely from observational studies and reported to be about 3.2 to 4.3 cases per 10,000 patient-years.^1,2 Although typically arising during midlife and especially in the context of comorbid obesity, diabetes mellitus (DM), and excessive alcohol consumption, MP may occur at any age, and bears a slight predilection for males.^2-4

MP may be divided etiologically into iatrogenic and spontaneous subtypes.⁵ Iatrogenic cases generally are attributable to nerve injury in the setting of direct or indirect trauma (such as with patient malpositioning) arising in the context of multiple forms of procedural or surgical intervention (Table). Spontaneous MP is primarily thought to occur as a result of LFCN compression at the level of the inguinal ligament, wherein internal or external pressures may promote LFCN entrapment and resultant functional disruption (Figure 1).^6,7

Case Presentation

A male Vietnam War veteran aged 69 years presented to a primary care clinic at West Roxbury Veterans Affairs Medical Center (WRVAMC) in Massachusetts with progressive right lower extremity numbness. Three months prior to this visit, he was evaluated in an urgent care clinic at WRVAMC for 6 months of numbness and increasingly painful nocturnal paresthesias involving the same extremity. A targeted physical examination at that visit revealed an obese male wearing tight suspenders, as well as focally diminished sensation to light touch involving the anterolateral aspect of the thigh, extending from just below the right hip to above the knee. Sensation in the medial thigh was spared. Strength and reflexes were normal in the bilateral lower extremities. An abdominal examination was not performed. He received a diagnosis of MP and counseled regarding weight loss, glycemic control, garment optimization, and conservative analgesia with as-needed nonsteroidal anti-inflammatory drugs. He was instructed to follow-up closely with his primary care physician for further monitoring.

During the current visit, the patient reported 2 atraumatic falls the prior 2 months, attributed to escalating right leg weakness. The patient reported that ascending stairs had become difficult, and he was unable to cross his right leg over his left while in a seated position. The territory of numbness expanded to his front and inner thigh. Although previously he was able to hike 4 miles, he now was unable to walk more than half of a mile without developing shortness of breath. He reported frequent urination without hematuria and a recent weight gain of 8 pounds despite early satiety.

His medical history included hypertension, hypercholesterolemia, truncal obesity, noninsulin dependent DM, coronary artery disease, atrial flutter, transient ischemic attack, and benign positional paroxysmal vertigo. He was exposed to Agent Orange during his service in Vietnam. Family history was notable for breast cancer (mother), lung cancer (father), and an unspecified form of lymphoma (brother). He had smoked approximately 2 packs of cigarettes daily for 15 years but quit 38 years prior. He reported consuming on average 3 alcohol-containing drinks per week and no illicit drug use. He was adherent with all medications, including furosemide 40 mg daily, losartan 25 mg daily, metoprolol succinate 50 mg daily, atorvastatin 80 mg daily, metformin 500 mg twice daily, and rivaroxaban 20 mg daily with dinner.

His vital signs included a blood pressure of 123/58 mmHg, a pulse of 74 beats per minute, a respiratory rate of 16 breaths per minute, and an oxygen saturation of 94% on ambient air. His temperature was recorded at 96.7°F, and his weight was 234 pounds with a body mass index (BMI) of 34. He was well groomed and in no acute distress. His cardiopulmonary examination was normal. Carotid, radial, and bilateral dorsalis pedis pulsations were 2+ bilaterally, and no jugular venous distension was observed at 30°. The abdomen was protuberant. Nonshifting dullness to percussion and firmness to palpation was observed throughout right upper and lower quadrants, with hyperactive bowel sounds primarily localized to the left upper and lower quadrants.

Neurologic examination revealed symmetric facies with normal phonation and diction. He was spontaneously moving all extremities, and his gait was normal. Sensation to light touch was severely diminished throughout the anterolateral and medial thigh, extending to the level of the knee, and otherwise reduced in a stocking-type pattern over the bilateral feet and toes. His right hip flexion, adduction, as well as internal and external rotation were focally diminished to 4- out of 5. Right knee extension was 4+ out of 5. Strength was otherwise 5 out of 5. The patient exhibited asymmetric Patellar reflexes—absent on the right and 2+ on the left. Achilles reflexes were absent bilaterally. Straight-leg raise test was negative bilaterally and did not clearly exacerbate his right leg numbness or paresthesias. There were no notable fasciculations. There was 2+ bilateral lower extremity pitting edema appreciated to the level of the midshin (right greater than left), without palpable cords or new skin lesions.

Upon referral to the neurology service, the patient underwent electromyography, which revealed complex repetitive discharges in the right tibialis anterior and pattern of reduced recruitment upon activation of the right vastus medialis, collectively suggestive of an L3-4 plexopathy. The patient was admitted for expedited workup.

A complete blood count and metabolic panel that were taken in the emergency department were normal, save for a serum bicarbonate of 30 mEq/L. His hemoglobin A_1c was 6.6%. Computed tomography (CT) of the abdomen and pelvis with IV contrast was obtained, and notable for a 30 cm fat-containing right-sided retroperitoneal mass with associated solid nodular components and calcification (Figure 2). No enhancement of the lesion was observed. There was significant associated mass effect, with superior displacement of the liver and right hemidiaphragm, as well as superomedial deflection of the right kidney, inferior vena cava, and other intraabdominal organs. Subsequent imaging with a CT of the chest, as well as magnetic resonance imaging of the brain, were without evidence of metastatic disease.

Outcome

The patient was treated with external beam radiotherapy (EBRT) delivered simultaneously to both the prostate and high-risk retroperitoneal margins of the DDLPS, as well as concurrent androgen deprivation therapy. Five months after completed radiotherapy, resection of the DDLPS was attempted. However, palliative tumor debulking was instead performed due to extensive locoregional invasion with involvement of the posterior peritoneum and ipsilateral quadratus, iliopsoas, and psoas muscles, as well as the adjacent lumbar nerve roots.

At present, the patient is undergoing surveillance imaging every 3 months to reevaluate his underlying disease burden, which has thus far been radiographically stable. Current management at the primary care level is focused on preserving quality of life, particularly maintaining mobility and functional independence.

Discussion

Although generally a benign entrapment neuropathy, MP bears well-established associations with multiple forms of must-not-miss pathology. Here, we present the case of a veteran in whom MP was the index presentation of a massive retroperitoneal liposarcoma, stressing the importance of a thorough history and physical examination in all patients presenting with MP. The case presented herein highlights many of the red-flag signs and symptoms that primary care physicians might encounter in patients with retroperitoneal pathology, including MP and MP-like syndromes (Figure 4).

In this case, the pretest probability of a spontaneous and uncomplicated MP was high given the patient’s sex, age, body habitus, and DM; however, there important atypia that emerged as the case evolved, including: (1) the progressive course; (2) proximal right lower extremity weakness; (3) asymmetric patellar reflexes; and (4) numerous clinical stigmata of intraabdominal mass effect. The patient exhibited abnormalities on abdominal examination that suggested the presence of an underlying intraabdominal mass, providing key diagnostic insight into this case. Given the slowly progressive nature of liposarcomas, we feel the abnormalities appreciated on abdominal examination were likely apparent during the initial presentation.¹⁸

There are numerous cognitive biases that may explain why an abdominal examination was not prioritized during the initial presentation. Namely, the patient’s numerous risk factors for spontaneous MP, as detailed above, may have contributed to framing bias that limited consideration of alternative diagnoses. In addition, the patient’s physical examination likely contributed to search satisfaction, whereby alternative diagnoses were not further entertained after discovery of findings consistent with spontaneous MP.¹⁹ Finally, it remains conceivable that an abdominal examination was not prioritized as it is often perceived as being distinct from, rather than an integral part of, the neurologic examination.²⁰ Given that numerous neurologic disorders may present with abdominal pathology, we feel a thorough abdominal examination should be considered part of the full neurologic examination, especially in cases presenting with focal neurologic findings involving the lower extremities.²¹

Collectively, this case alludes to the importance of close clinical follow-up, as well as adequate anticipatory patient guidance in cases of suspected MP. In most patients, the clinical course of spontaneous MP is benign and favorable, with up to 85% of patients experiencing resolution within 4 to 6 months of the initial presentation.²² Common conservative measures include weight loss, garment optimization, and nonsteroidal anti-inflammatory drugs as needed for analgesia. In refractory cases, procedural interventions such as with neurolysis or resection of the lateral femoral cutaneous nerve, may be required after the ruling out of alternative diagnoses.^23,24

Importantly, in even prolonged and resistant cases of MP, patient discomfort remains localized to the territory of the LFCN. Additional lower motor neuron signs, such as an expanding territory of sensory involvement, muscle weakness, or diminished reflexes, should prompt additional testing for alternative diagnoses. In addition, clinical findings concerning for intraabdominal mass effect, many of which were observed in this case, should lead to further evaluation and expeditious cross-sectional imaging. Although this patient’s early satiety, polyuria, bilateral lower extremity edema, weight gain, and lumbar plexopathy each may be explained by direct compression, invasion, or displacement, his report of progressive exertional dyspnea merits further discussion.

Exertional dyspnea is an uncommon complication of soft tissue sarcoma, reported almost exclusively in cases with cardiac, mediastinal, or other thoracic involvement.^25-28 In this case, there was no evidence of thoracic involvement, either through direct extension or metastasis. Instead, the patient’s exertional dyspnea may have been attributable to increased intraabdominal pressure leading to compromised diaphragm excursion and reduced pulmonary reserve. In addition, the radiographic findings also raise the possibility of a potential contribution from preload failure due to IVC compression. Overall, dyspnea is a concerning feature that may suggest advanced disease.

Despite the value of a thorough history and physical examination in patients with MP, major clinical guidelines from neurologic, neurosurgical, and orthopedic organizations do not formally address MP evaluation and management. Further, proposed clinical practice algorithms are inconsistent in their recommendations regarding the identification of red-flag features and ruling out of alternative diagnoses.^22,29,30 To supplement the abdominal examination, it would be reasonable to perform a pelvic compression test (PCT) in patients presenting with suspected MP. The PCT is a highly sensitive and specific provocative maneuver shown to enable reliable differentiation between MP and lumbar radiculopathy, and is performed by placing downward force on the anterior superior iliac spine of the affected extremity for 45 seconds with the patient in the lateral recumbent position.³¹ As this maneuver is intended to force relaxation of the inguinal ligament, thereby relieving pressure on the LFCN, improvement in the patient’s symptoms with the PCT is consistent with MP.

Conclusions

Spontaneous MP is a generally benign condition secondary to LFCN entrapment at the level of the inguinal ligament and is encountered frequently in the context of comorbid obesity and DM. However, MP bears known associations with high-risk pathologies that engender specific diagnostic and therapeutic considerations, including retroperitoneal mass lesions. The case presented herein highlights the utility of: (1) a focused history and review of systems to aid in the identification of red-flag symptoms and signs that might suggest a secondary etiology; and (2) a thorough abdominal examination in all patients who present with MP, especially in atypical presentations, cases with additional focal neurologic findings, or in patients who report progressive symptoms. Given the progressively aging population within the United States, coupled with an expanding prevalence of obesity and diabetes mellitus, recognition of the typical and atypical features of MP may be of progressive importance.

Meralgia paresthetica (MP) is a sensory mononeuropathy of the lateral femoral cutaneous nerve (LFCN), clinically characterized by numbness, pain, and paresthesias involving the anterolateral aspect of the thigh. Estimates of MP incidence are derived largely from observational studies and reported to be about 3.2 to 4.3 cases per 10,000 patient-years.^1,2 Although typically arising during midlife and especially in the context of comorbid obesity, diabetes mellitus (DM), and excessive alcohol consumption, MP may occur at any age, and bears a slight predilection for males.^2-4

MP may be divided etiologically into iatrogenic and spontaneous subtypes.⁵ Iatrogenic cases generally are attributable to nerve injury in the setting of direct or indirect trauma (such as with patient malpositioning) arising in the context of multiple forms of procedural or surgical intervention (Table). Spontaneous MP is primarily thought to occur as a result of LFCN compression at the level of the inguinal ligament, wherein internal or external pressures may promote LFCN entrapment and resultant functional disruption (Figure 1).^6,7

Case Presentation

A male Vietnam War veteran aged 69 years presented to a primary care clinic at West Roxbury Veterans Affairs Medical Center (WRVAMC) in Massachusetts with progressive right lower extremity numbness. Three months prior to this visit, he was evaluated in an urgent care clinic at WRVAMC for 6 months of numbness and increasingly painful nocturnal paresthesias involving the same extremity. A targeted physical examination at that visit revealed an obese male wearing tight suspenders, as well as focally diminished sensation to light touch involving the anterolateral aspect of the thigh, extending from just below the right hip to above the knee. Sensation in the medial thigh was spared. Strength and reflexes were normal in the bilateral lower extremities. An abdominal examination was not performed. He received a diagnosis of MP and counseled regarding weight loss, glycemic control, garment optimization, and conservative analgesia with as-needed nonsteroidal anti-inflammatory drugs. He was instructed to follow-up closely with his primary care physician for further monitoring.

During the current visit, the patient reported 2 atraumatic falls the prior 2 months, attributed to escalating right leg weakness. The patient reported that ascending stairs had become difficult, and he was unable to cross his right leg over his left while in a seated position. The territory of numbness expanded to his front and inner thigh. Although previously he was able to hike 4 miles, he now was unable to walk more than half of a mile without developing shortness of breath. He reported frequent urination without hematuria and a recent weight gain of 8 pounds despite early satiety.

His medical history included hypertension, hypercholesterolemia, truncal obesity, noninsulin dependent DM, coronary artery disease, atrial flutter, transient ischemic attack, and benign positional paroxysmal vertigo. He was exposed to Agent Orange during his service in Vietnam. Family history was notable for breast cancer (mother), lung cancer (father), and an unspecified form of lymphoma (brother). He had smoked approximately 2 packs of cigarettes daily for 15 years but quit 38 years prior. He reported consuming on average 3 alcohol-containing drinks per week and no illicit drug use. He was adherent with all medications, including furosemide 40 mg daily, losartan 25 mg daily, metoprolol succinate 50 mg daily, atorvastatin 80 mg daily, metformin 500 mg twice daily, and rivaroxaban 20 mg daily with dinner.

His vital signs included a blood pressure of 123/58 mmHg, a pulse of 74 beats per minute, a respiratory rate of 16 breaths per minute, and an oxygen saturation of 94% on ambient air. His temperature was recorded at 96.7°F, and his weight was 234 pounds with a body mass index (BMI) of 34. He was well groomed and in no acute distress. His cardiopulmonary examination was normal. Carotid, radial, and bilateral dorsalis pedis pulsations were 2+ bilaterally, and no jugular venous distension was observed at 30°. The abdomen was protuberant. Nonshifting dullness to percussion and firmness to palpation was observed throughout right upper and lower quadrants, with hyperactive bowel sounds primarily localized to the left upper and lower quadrants.

Neurologic examination revealed symmetric facies with normal phonation and diction. He was spontaneously moving all extremities, and his gait was normal. Sensation to light touch was severely diminished throughout the anterolateral and medial thigh, extending to the level of the knee, and otherwise reduced in a stocking-type pattern over the bilateral feet and toes. His right hip flexion, adduction, as well as internal and external rotation were focally diminished to 4- out of 5. Right knee extension was 4+ out of 5. Strength was otherwise 5 out of 5. The patient exhibited asymmetric Patellar reflexes—absent on the right and 2+ on the left. Achilles reflexes were absent bilaterally. Straight-leg raise test was negative bilaterally and did not clearly exacerbate his right leg numbness or paresthesias. There were no notable fasciculations. There was 2+ bilateral lower extremity pitting edema appreciated to the level of the midshin (right greater than left), without palpable cords or new skin lesions.

Upon referral to the neurology service, the patient underwent electromyography, which revealed complex repetitive discharges in the right tibialis anterior and pattern of reduced recruitment upon activation of the right vastus medialis, collectively suggestive of an L3-4 plexopathy. The patient was admitted for expedited workup.

A complete blood count and metabolic panel that were taken in the emergency department were normal, save for a serum bicarbonate of 30 mEq/L. His hemoglobin A_1c was 6.6%. Computed tomography (CT) of the abdomen and pelvis with IV contrast was obtained, and notable for a 30 cm fat-containing right-sided retroperitoneal mass with associated solid nodular components and calcification (Figure 2). No enhancement of the lesion was observed. There was significant associated mass effect, with superior displacement of the liver and right hemidiaphragm, as well as superomedial deflection of the right kidney, inferior vena cava, and other intraabdominal organs. Subsequent imaging with a CT of the chest, as well as magnetic resonance imaging of the brain, were without evidence of metastatic disease.

Outcome

The patient was treated with external beam radiotherapy (EBRT) delivered simultaneously to both the prostate and high-risk retroperitoneal margins of the DDLPS, as well as concurrent androgen deprivation therapy. Five months after completed radiotherapy, resection of the DDLPS was attempted. However, palliative tumor debulking was instead performed due to extensive locoregional invasion with involvement of the posterior peritoneum and ipsilateral quadratus, iliopsoas, and psoas muscles, as well as the adjacent lumbar nerve roots.

At present, the patient is undergoing surveillance imaging every 3 months to reevaluate his underlying disease burden, which has thus far been radiographically stable. Current management at the primary care level is focused on preserving quality of life, particularly maintaining mobility and functional independence.

Discussion

Although generally a benign entrapment neuropathy, MP bears well-established associations with multiple forms of must-not-miss pathology. Here, we present the case of a veteran in whom MP was the index presentation of a massive retroperitoneal liposarcoma, stressing the importance of a thorough history and physical examination in all patients presenting with MP. The case presented herein highlights many of the red-flag signs and symptoms that primary care physicians might encounter in patients with retroperitoneal pathology, including MP and MP-like syndromes (Figure 4).

In this case, the pretest probability of a spontaneous and uncomplicated MP was high given the patient’s sex, age, body habitus, and DM; however, there important atypia that emerged as the case evolved, including: (1) the progressive course; (2) proximal right lower extremity weakness; (3) asymmetric patellar reflexes; and (4) numerous clinical stigmata of intraabdominal mass effect. The patient exhibited abnormalities on abdominal examination that suggested the presence of an underlying intraabdominal mass, providing key diagnostic insight into this case. Given the slowly progressive nature of liposarcomas, we feel the abnormalities appreciated on abdominal examination were likely apparent during the initial presentation.¹⁸

There are numerous cognitive biases that may explain why an abdominal examination was not prioritized during the initial presentation. Namely, the patient’s numerous risk factors for spontaneous MP, as detailed above, may have contributed to framing bias that limited consideration of alternative diagnoses. In addition, the patient’s physical examination likely contributed to search satisfaction, whereby alternative diagnoses were not further entertained after discovery of findings consistent with spontaneous MP.¹⁹ Finally, it remains conceivable that an abdominal examination was not prioritized as it is often perceived as being distinct from, rather than an integral part of, the neurologic examination.²⁰ Given that numerous neurologic disorders may present with abdominal pathology, we feel a thorough abdominal examination should be considered part of the full neurologic examination, especially in cases presenting with focal neurologic findings involving the lower extremities.²¹

Collectively, this case alludes to the importance of close clinical follow-up, as well as adequate anticipatory patient guidance in cases of suspected MP. In most patients, the clinical course of spontaneous MP is benign and favorable, with up to 85% of patients experiencing resolution within 4 to 6 months of the initial presentation.²² Common conservative measures include weight loss, garment optimization, and nonsteroidal anti-inflammatory drugs as needed for analgesia. In refractory cases, procedural interventions such as with neurolysis or resection of the lateral femoral cutaneous nerve, may be required after the ruling out of alternative diagnoses.^23,24

Importantly, in even prolonged and resistant cases of MP, patient discomfort remains localized to the territory of the LFCN. Additional lower motor neuron signs, such as an expanding territory of sensory involvement, muscle weakness, or diminished reflexes, should prompt additional testing for alternative diagnoses. In addition, clinical findings concerning for intraabdominal mass effect, many of which were observed in this case, should lead to further evaluation and expeditious cross-sectional imaging. Although this patient’s early satiety, polyuria, bilateral lower extremity edema, weight gain, and lumbar plexopathy each may be explained by direct compression, invasion, or displacement, his report of progressive exertional dyspnea merits further discussion.

Exertional dyspnea is an uncommon complication of soft tissue sarcoma, reported almost exclusively in cases with cardiac, mediastinal, or other thoracic involvement.^25-28 In this case, there was no evidence of thoracic involvement, either through direct extension or metastasis. Instead, the patient’s exertional dyspnea may have been attributable to increased intraabdominal pressure leading to compromised diaphragm excursion and reduced pulmonary reserve. In addition, the radiographic findings also raise the possibility of a potential contribution from preload failure due to IVC compression. Overall, dyspnea is a concerning feature that may suggest advanced disease.

Despite the value of a thorough history and physical examination in patients with MP, major clinical guidelines from neurologic, neurosurgical, and orthopedic organizations do not formally address MP evaluation and management. Further, proposed clinical practice algorithms are inconsistent in their recommendations regarding the identification of red-flag features and ruling out of alternative diagnoses.^22,29,30 To supplement the abdominal examination, it would be reasonable to perform a pelvic compression test (PCT) in patients presenting with suspected MP. The PCT is a highly sensitive and specific provocative maneuver shown to enable reliable differentiation between MP and lumbar radiculopathy, and is performed by placing downward force on the anterior superior iliac spine of the affected extremity for 45 seconds with the patient in the lateral recumbent position.³¹ As this maneuver is intended to force relaxation of the inguinal ligament, thereby relieving pressure on the LFCN, improvement in the patient’s symptoms with the PCT is consistent with MP.

Conclusions

Spontaneous MP is a generally benign condition secondary to LFCN entrapment at the level of the inguinal ligament and is encountered frequently in the context of comorbid obesity and DM. However, MP bears known associations with high-risk pathologies that engender specific diagnostic and therapeutic considerations, including retroperitoneal mass lesions. The case presented herein highlights the utility of: (1) a focused history and review of systems to aid in the identification of red-flag symptoms and signs that might suggest a secondary etiology; and (2) a thorough abdominal examination in all patients who present with MP, especially in atypical presentations, cases with additional focal neurologic findings, or in patients who report progressive symptoms. Given the progressively aging population within the United States, coupled with an expanding prevalence of obesity and diabetes mellitus, recognition of the typical and atypical features of MP may be of progressive importance.

Meralgia paresthetica (MP) is a sensory mononeuropathy of the lateral femoral cutaneous nerve (LFCN), clinically characterized by numbness, pain, and paresthesias involving the anterolateral aspect of the thigh. Estimates of MP incidence are derived largely from observational studies and reported to be about 3.2 to 4.3 cases per 10,000 patient-years.^1,2 Although typically arising during midlife and especially in the context of comorbid obesity, diabetes mellitus (DM), and excessive alcohol consumption, MP may occur at any age, and bears a slight predilection for males.^2-4

MP may be divided etiologically into iatrogenic and spontaneous subtypes.⁵ Iatrogenic cases generally are attributable to nerve injury in the setting of direct or indirect trauma (such as with patient malpositioning) arising in the context of multiple forms of procedural or surgical intervention (Table). Spontaneous MP is primarily thought to occur as a result of LFCN compression at the level of the inguinal ligament, wherein internal or external pressures may promote LFCN entrapment and resultant functional disruption (Figure 1).^6,7

Case Presentation

A male Vietnam War veteran aged 69 years presented to a primary care clinic at West Roxbury Veterans Affairs Medical Center (WRVAMC) in Massachusetts with progressive right lower extremity numbness. Three months prior to this visit, he was evaluated in an urgent care clinic at WRVAMC for 6 months of numbness and increasingly painful nocturnal paresthesias involving the same extremity. A targeted physical examination at that visit revealed an obese male wearing tight suspenders, as well as focally diminished sensation to light touch involving the anterolateral aspect of the thigh, extending from just below the right hip to above the knee. Sensation in the medial thigh was spared. Strength and reflexes were normal in the bilateral lower extremities. An abdominal examination was not performed. He received a diagnosis of MP and counseled regarding weight loss, glycemic control, garment optimization, and conservative analgesia with as-needed nonsteroidal anti-inflammatory drugs. He was instructed to follow-up closely with his primary care physician for further monitoring.

During the current visit, the patient reported 2 atraumatic falls the prior 2 months, attributed to escalating right leg weakness. The patient reported that ascending stairs had become difficult, and he was unable to cross his right leg over his left while in a seated position. The territory of numbness expanded to his front and inner thigh. Although previously he was able to hike 4 miles, he now was unable to walk more than half of a mile without developing shortness of breath. He reported frequent urination without hematuria and a recent weight gain of 8 pounds despite early satiety.

His medical history included hypertension, hypercholesterolemia, truncal obesity, noninsulin dependent DM, coronary artery disease, atrial flutter, transient ischemic attack, and benign positional paroxysmal vertigo. He was exposed to Agent Orange during his service in Vietnam. Family history was notable for breast cancer (mother), lung cancer (father), and an unspecified form of lymphoma (brother). He had smoked approximately 2 packs of cigarettes daily for 15 years but quit 38 years prior. He reported consuming on average 3 alcohol-containing drinks per week and no illicit drug use. He was adherent with all medications, including furosemide 40 mg daily, losartan 25 mg daily, metoprolol succinate 50 mg daily, atorvastatin 80 mg daily, metformin 500 mg twice daily, and rivaroxaban 20 mg daily with dinner.

His vital signs included a blood pressure of 123/58 mmHg, a pulse of 74 beats per minute, a respiratory rate of 16 breaths per minute, and an oxygen saturation of 94% on ambient air. His temperature was recorded at 96.7°F, and his weight was 234 pounds with a body mass index (BMI) of 34. He was well groomed and in no acute distress. His cardiopulmonary examination was normal. Carotid, radial, and bilateral dorsalis pedis pulsations were 2+ bilaterally, and no jugular venous distension was observed at 30°. The abdomen was protuberant. Nonshifting dullness to percussion and firmness to palpation was observed throughout right upper and lower quadrants, with hyperactive bowel sounds primarily localized to the left upper and lower quadrants.

Neurologic examination revealed symmetric facies with normal phonation and diction. He was spontaneously moving all extremities, and his gait was normal. Sensation to light touch was severely diminished throughout the anterolateral and medial thigh, extending to the level of the knee, and otherwise reduced in a stocking-type pattern over the bilateral feet and toes. His right hip flexion, adduction, as well as internal and external rotation were focally diminished to 4- out of 5. Right knee extension was 4+ out of 5. Strength was otherwise 5 out of 5. The patient exhibited asymmetric Patellar reflexes—absent on the right and 2+ on the left. Achilles reflexes were absent bilaterally. Straight-leg raise test was negative bilaterally and did not clearly exacerbate his right leg numbness or paresthesias. There were no notable fasciculations. There was 2+ bilateral lower extremity pitting edema appreciated to the level of the midshin (right greater than left), without palpable cords or new skin lesions.

Upon referral to the neurology service, the patient underwent electromyography, which revealed complex repetitive discharges in the right tibialis anterior and pattern of reduced recruitment upon activation of the right vastus medialis, collectively suggestive of an L3-4 plexopathy. The patient was admitted for expedited workup.

A complete blood count and metabolic panel that were taken in the emergency department were normal, save for a serum bicarbonate of 30 mEq/L. His hemoglobin A_1c was 6.6%. Computed tomography (CT) of the abdomen and pelvis with IV contrast was obtained, and notable for a 30 cm fat-containing right-sided retroperitoneal mass with associated solid nodular components and calcification (Figure 2). No enhancement of the lesion was observed. There was significant associated mass effect, with superior displacement of the liver and right hemidiaphragm, as well as superomedial deflection of the right kidney, inferior vena cava, and other intraabdominal organs. Subsequent imaging with a CT of the chest, as well as magnetic resonance imaging of the brain, were without evidence of metastatic disease.

Outcome

The patient was treated with external beam radiotherapy (EBRT) delivered simultaneously to both the prostate and high-risk retroperitoneal margins of the DDLPS, as well as concurrent androgen deprivation therapy. Five months after completed radiotherapy, resection of the DDLPS was attempted. However, palliative tumor debulking was instead performed due to extensive locoregional invasion with involvement of the posterior peritoneum and ipsilateral quadratus, iliopsoas, and psoas muscles, as well as the adjacent lumbar nerve roots.

At present, the patient is undergoing surveillance imaging every 3 months to reevaluate his underlying disease burden, which has thus far been radiographically stable. Current management at the primary care level is focused on preserving quality of life, particularly maintaining mobility and functional independence.

Discussion

Although generally a benign entrapment neuropathy, MP bears well-established associations with multiple forms of must-not-miss pathology. Here, we present the case of a veteran in whom MP was the index presentation of a massive retroperitoneal liposarcoma, stressing the importance of a thorough history and physical examination in all patients presenting with MP. The case presented herein highlights many of the red-flag signs and symptoms that primary care physicians might encounter in patients with retroperitoneal pathology, including MP and MP-like syndromes (Figure 4).

In this case, the pretest probability of a spontaneous and uncomplicated MP was high given the patient’s sex, age, body habitus, and DM; however, there important atypia that emerged as the case evolved, including: (1) the progressive course; (2) proximal right lower extremity weakness; (3) asymmetric patellar reflexes; and (4) numerous clinical stigmata of intraabdominal mass effect. The patient exhibited abnormalities on abdominal examination that suggested the presence of an underlying intraabdominal mass, providing key diagnostic insight into this case. Given the slowly progressive nature of liposarcomas, we feel the abnormalities appreciated on abdominal examination were likely apparent during the initial presentation.¹⁸

There are numerous cognitive biases that may explain why an abdominal examination was not prioritized during the initial presentation. Namely, the patient’s numerous risk factors for spontaneous MP, as detailed above, may have contributed to framing bias that limited consideration of alternative diagnoses. In addition, the patient’s physical examination likely contributed to search satisfaction, whereby alternative diagnoses were not further entertained after discovery of findings consistent with spontaneous MP.¹⁹ Finally, it remains conceivable that an abdominal examination was not prioritized as it is often perceived as being distinct from, rather than an integral part of, the neurologic examination.²⁰ Given that numerous neurologic disorders may present with abdominal pathology, we feel a thorough abdominal examination should be considered part of the full neurologic examination, especially in cases presenting with focal neurologic findings involving the lower extremities.²¹

Collectively, this case alludes to the importance of close clinical follow-up, as well as adequate anticipatory patient guidance in cases of suspected MP. In most patients, the clinical course of spontaneous MP is benign and favorable, with up to 85% of patients experiencing resolution within 4 to 6 months of the initial presentation.²² Common conservative measures include weight loss, garment optimization, and nonsteroidal anti-inflammatory drugs as needed for analgesia. In refractory cases, procedural interventions such as with neurolysis or resection of the lateral femoral cutaneous nerve, may be required after the ruling out of alternative diagnoses.^23,24

Importantly, in even prolonged and resistant cases of MP, patient discomfort remains localized to the territory of the LFCN. Additional lower motor neuron signs, such as an expanding territory of sensory involvement, muscle weakness, or diminished reflexes, should prompt additional testing for alternative diagnoses. In addition, clinical findings concerning for intraabdominal mass effect, many of which were observed in this case, should lead to further evaluation and expeditious cross-sectional imaging. Although this patient’s early satiety, polyuria, bilateral lower extremity edema, weight gain, and lumbar plexopathy each may be explained by direct compression, invasion, or displacement, his report of progressive exertional dyspnea merits further discussion.

Exertional dyspnea is an uncommon complication of soft tissue sarcoma, reported almost exclusively in cases with cardiac, mediastinal, or other thoracic involvement.^25-28 In this case, there was no evidence of thoracic involvement, either through direct extension or metastasis. Instead, the patient’s exertional dyspnea may have been attributable to increased intraabdominal pressure leading to compromised diaphragm excursion and reduced pulmonary reserve. In addition, the radiographic findings also raise the possibility of a potential contribution from preload failure due to IVC compression. Overall, dyspnea is a concerning feature that may suggest advanced disease.

Despite the value of a thorough history and physical examination in patients with MP, major clinical guidelines from neurologic, neurosurgical, and orthopedic organizations do not formally address MP evaluation and management. Further, proposed clinical practice algorithms are inconsistent in their recommendations regarding the identification of red-flag features and ruling out of alternative diagnoses.^22,29,30 To supplement the abdominal examination, it would be reasonable to perform a pelvic compression test (PCT) in patients presenting with suspected MP. The PCT is a highly sensitive and specific provocative maneuver shown to enable reliable differentiation between MP and lumbar radiculopathy, and is performed by placing downward force on the anterior superior iliac spine of the affected extremity for 45 seconds with the patient in the lateral recumbent position.³¹ As this maneuver is intended to force relaxation of the inguinal ligament, thereby relieving pressure on the LFCN, improvement in the patient’s symptoms with the PCT is consistent with MP.

Conclusions

Spontaneous MP is a generally benign condition secondary to LFCN entrapment at the level of the inguinal ligament and is encountered frequently in the context of comorbid obesity and DM. However, MP bears known associations with high-risk pathologies that engender specific diagnostic and therapeutic considerations, including retroperitoneal mass lesions. The case presented herein highlights the utility of: (1) a focused history and review of systems to aid in the identification of red-flag symptoms and signs that might suggest a secondary etiology; and (2) a thorough abdominal examination in all patients who present with MP, especially in atypical presentations, cases with additional focal neurologic findings, or in patients who report progressive symptoms. Given the progressively aging population within the United States, coupled with an expanding prevalence of obesity and diabetes mellitus, recognition of the typical and atypical features of MP may be of progressive importance.

Hematology and oncology patients are a complex patient population that requires timely follow-up to prevent clinical decompensation and delays in treatment. Previous reports have demonstrated that outpatient follow-up within 14 days is associated with decreased 30-day readmissions. The magnitude of this effect is greater for higher-risk patients.¹ Therefore, patients being discharged from the hematology and oncology inpatient service should be seen by a hematology and oncology provider within 14 days of discharge. Patients who do not require close oncologic follow-up should be seen by a primary care provider (PCP) within this timeframe.

Background

The Institute of Medicine (IOM) identified the need to focus on quality improvement and patient safety with a 1999 report, To Err Is Human.² Tremendous strides have been made in the areas of quality improvement and patient safety over the past 2 decades. In a 2013 report, the IOM further identified hematology and oncology care as an area of need due to a combination of growing demand, complexity of cancer and cancer treatment, shrinking workforce, and rising costs. The report concluded that cancer care is not as patient-centered, accessible, coordinated, or evidence based as it could be, with detrimental impacts on patients.³ Patients with cancer have been identified as a high-risk population for hospital readmissions.^4,5 Lack of timely follow-up and failed hand-offs have been identified as factors contributing to poor outcomes at time of discharge.^6-10

Upon internal review of baseline performance data, we identified areas needing improvement in the discharge process. These included time to hematology and oncology follow-up appointment, percent of patients with PCP appointments scheduled at time of discharge, and electronically alerts for the outpatient hematologist/oncologist to discharge summaries. It was determined that patients discharged from the inpatient service were seen a mean 17 days later by their outpatient hematology and oncology provider and the time to the follow-up appointment varied substantially, with some patients being seen several weeks to months after discharge. Furthermore, only 68% of patients had a primary care appointment scheduled at the time of discharge. These data along with review of data reported in the medical literature supported our initiative for improvement in the transition from inpatient to outpatient care for our hematology and oncology patients.

Plan-Do-Study-Act (PDSA) quality improvement methodology was used to create and implement several interventions to standardize the discharge process for this patient population, with the primary goal of decreasing the mean time to hematology and oncology follow-up from 17 days by 12% to fewer than 14 days. Patients who do not require close oncologic follow-up should be seen by a PCP within this timeframe. Otherwise, PCP follow-up within at least 6 months should be made. Secondary aims included (1) an increase in scheduled PCP visits at time of discharge from 68% to > 90%; and (2) an increase in communication of the discharge summary via electronic alerting of the outpatient hematology and oncology physician from 20% to > 90%. Herein, we report our experience and results of this quality improvement initiative

Methods

The Institutional Review Board at Edward Hines Veteran Affairs Hospital in Hines, Illinois reviewed this single-center study and deemed it to be exempt from oversight. Using PDSA quality improvement methodology, a multidisciplinary team of hematology and oncology staff developed and implemented a standardized discharge process. The multidisciplinary team included a robust representation of inpatient and outpatient staff caring for the hematology and oncology patient population, including attending physicians, fellows, residents, advanced practice nurses, registered nurses, clinical pharmacists, patient care coordinators, clinic schedulers, clinical applications coordinators, quality support staff, and a systems redesign coach. Hospital leadership including chief of staff, chief of medicine, and chief of nursing participated as the management guidance team. Several interviews and group meetings were conducted and a multidisciplinary team collaboratively developed and implemented the interventions and monitored the results.

Outcome measures were identified, including time to hematology and oncology clinic visit, primary care follow-up scheduling, and communication of discharge to the outpatient hematology and oncology physician. Baseline data were collected and reviewed. The multidisciplinary team developed a process flow map to understand the steps and resources involved with the transition from inpatient to outpatient care. Gap analysis and root cause analysis were performed. A solutions approach was applied to develop interventions. Table 1 shows a summary of the identified problems, symptoms, associated causes, the interventions aimed to address the problems, and expected outcomes. Rotating resident physicians were trained through online and in-person education. The multidisciplinary team met intermittently to monitor outcomes, provide feedback, further refine interventions, and develop additional interventions.

PDSA Cycle 1

A standardized discharge process was developed in the form of guidelines and expectations. These include an explanation of unique features of the hematology and oncology service and expectations of medication reconciliation with emphasis placed on antiemetics, antimicrobial prophylaxis, and bowel regimen when appropriate, outpatient hematology and oncology follow-up within 14 days, primary care follow-up, communication with the outpatient hematology and oncology physician, written discharge instructions, and bedside teaching when appropriate.

PDSA Cycle 2

Based on team member feedback and further discussions, a discharge checklist was developed. This checklist was available online, reviewed in person, and posted in the team room for rotating residents to use for discharge planning and when discharging patients (Figure 1).

PDSA Cycle 3

Based on ongoing user feedback, group discussions, and data monitoring, the discharge checklist was further refined and updated. An electronic clinical decision support tool was developed and integrated into the electronic medical record (EMR) in the form of a discharge checklist note template directly linked to orders. The tool is a computerized patient record system (CPRS) note template that prompts users to select whether medications or return to clinic orders are needed and offers a menu of frequently used medications. If any of the selections are chosen within the note template, an order is generated automatically in the chart that requires only the user’s signature. Furthermore, the patient care coordinator reviews the prescribed follow-up and works with the medical support assistant to make these appointments. The physician is contacted only when an appointment cannot be made. Therefore, this tool allows many additional actions to be bypassed such as generating medication and return to clinic orders individually and calling schedulers to make follow-up appointments (Figure 2).

Data Analysis

All patients discharged during the 2-month period prior to and discharged after the implementation of the standardized process were reviewed. Patients who followed up with hematology and oncology at another facility, enrolled in hospice, or died during admission were excluded. Follow-up appointment scheduling data and communication between inpatient and outpatient providers were reviewed. Data were analyzed using XmR statistical process control chart and Fisher’s Exact Test using GraphPad. Control limits were calculated for each PDSA cycle as the mean ± the average of the moving range multiplied by 2.66. All data were included in the analysis.

Results

A total of 142 consecutive patients were reviewed from May 1, 2018 to August 31, 2018 and January 1, 2019 to April 30, 2019, including 58 patients prior to the intervention and 84 patients during PDSA cycles. There was a gap in data collection between September 1, 2018 and December 31, 2018 due to limited team member availability. All data were collected by 2 reviewers—a postgraduate year (PGY)-4 chief resident and a PGY-2 internal medicine resident. The median age of patients in the preintervention group was 72 years and 69 years in the postintervention group. All patients were men. Baseline data revealed a mean 17 days to hematology and oncology follow-up. Primary care visits were scheduled for 68% of patients at the time of discharge. The outpatient hematology and oncology physician was alerted electronically to the discharge summary for 20% of the patients (Table 2).

The primary endpoint of time to hematology and oncology follow-up appointment improved to 13 days in PDSA cycles 1 and 2 and 10 days in PDSA cycle 3. The target of mean 14 days to follow-up was achieved. The statistical process control chart shows 5 shifts with clusters of ≥ 7 points below the mean revealing a true signal or change in the data and demonstrating that an improvement was seen (Figure 3). Furthermore, the statistical process control chart demonstrates upper control limit decreased from 58 days at baseline to 21 days in PDSA cycle 3, suggesting a decrease in variation.

Discussion

The 2013 IOM report Delivering High-Quality Cancer Care: Charting a New Course for a System in Crisis found that that cancer care is not as patient-centered, accessible, coordinated, or evidence-based as it could be, with detrimental impacts on patients.³ The document offered a conceptual framework to improve quality of cancer care that includes the translation of evidence into clinical practice, quality measurement, and performance improvement, as well as using advances in information technology to enhance quality measurement and performance improvement. Our quality initiative uses this framework to work toward the goal as stated by the IOM report: to deliver “comprehensive, patient-centered, evidence-based, high-quality cancer care that is accessible and affordable.”³

Two large studies that evaluated risk factors for 15-day and 30-day hospital readmissions identified cancer diagnosis as a risk factor for increased hospital readmission, highlighting the need to identify strategies to improve the discharge process for these patients.^4,5 Timely outpatient follow-up and better patient hand-off may improve clinical outcomes among this high-risk patient population after hospital discharge. Multiple studies have demonstrated that timely follow-up is associated with fewer readmissions.^1,8-10 A study by Forster and colleagues that evaluated postdischarge adverse events (AEs) revealed a 23% incidence of AEs with 12% of these identified as preventable. Postdischarge monitoring was deemed inadequate among these patients, with closer follow-up and improved hand-offs between inpatient and outpatient medical teams identified as possible interventions to improve postdischarge patient monitoring and to prevent AEs.⁷

The present quality initiative to standardize the discharge process for the hematology and oncology service decreased time to hematology and oncology follow-up appointment, improved communication between inpatient and outpatient teams, and decreased process variation. Timelier follow-up for this complex patient population likely will prevent clinical decompensation, delays in treatment, and directly improve patient access to care.

The multidisciplinary nature of this effort was instrumental to successful completion. In a complex health care system, it is challenging to truly understand a problem and identify possible solutions without the perspective of all members of the care team. The involvement of team members with training in quality improvement methodology was important to evaluate and develop interventions in a systematic way. Furthermore, the support and involvement of leadership is important in order to allocate resources appropriately to achieve system changes that improve care. Using quality improvement methodology, the team was able to map our processes and perform gap and root cause analyses. Strategies were identified to improve our performance using a solutions approach. Changes were implemented with continued intermittent meetings for monitoring of progression and discussion of how interventions could be made more efficient, effective, and user friendly. The primary goal was ultimately achieved.

Integration of intervention into the EMR embodies the IOM’s call to use advances in information technology to enhance the quality and delivery of care, quality measurement, and performance improvement.³ This intervention offered the strongest system changes as an electronic clinical decision support tool was developed and embedded into the EMR in the form of a Discharge Checklist Note that is linked to associated orders. This intervention was the most robust, as it provided objective data regarding utilization of the checklist, offered a more efficient way to communicate with team members regarding discharge needs, and streamlined the workflow for the discharging provider. Furthermore, this electronic tool created the ability to measure other important aspects in the care of this patient population that we previously had no mechanism of measuring: timely nursing appointments for routine care of PICC lines and ports.

Limitations

The absence of clinical endpoints was a limitation of this study. The present study was unable to evaluate the effect of the intervention on readmission rates, emergency department visits, hospital length of stay, cost, or mortality. Coordinating this multidisciplinary effort required much time and planning, and additional resources were not available to evaluate these clinical endpoints. Further studies are needed to evaluate whether the increased patient access and closer follow-up would result in improvement in these clinical endpoints. Another consideration for future improvement projects would be to include patients in the multidisciplinary team. The patient perspective would be invaluable in identifying gaps in care delivery and strategies aimed at improving care delivery.

Conclusions

This quality initiative to standardize the discharge process for the hematology and oncology service decreased time to the initial hematology and oncology follow-up appointment, improved communication between inpatient and outpatient teams, and decreased process variation. Timelier follow-up for this complex patient population likely will prevent clinical decompensation, delays in treatment, and directly improve patient access to care.

Acknowledgments

We thank our patients for whom we hope our process improvement efforts will ultimately benefit. We thank all the hematology and oncology staff at Edward Hines Jr. VA Hospital and Loyola University Medical Center residents and fellows who care for our patients and participated in the multidisciplinary team to improve care for our patients. We thank the following professionals for their uncompensated assistance in the coordination and execution of this initiative: Robert Kutter, MS, and Meghan O’Halloran, MD.

Hematology and oncology patients are a complex patient population that requires timely follow-up to prevent clinical decompensation and delays in treatment. Previous reports have demonstrated that outpatient follow-up within 14 days is associated with decreased 30-day readmissions. The magnitude of this effect is greater for higher-risk patients.¹ Therefore, patients being discharged from the hematology and oncology inpatient service should be seen by a hematology and oncology provider within 14 days of discharge. Patients who do not require close oncologic follow-up should be seen by a primary care provider (PCP) within this timeframe.

Background

The Institute of Medicine (IOM) identified the need to focus on quality improvement and patient safety with a 1999 report, To Err Is Human.² Tremendous strides have been made in the areas of quality improvement and patient safety over the past 2 decades. In a 2013 report, the IOM further identified hematology and oncology care as an area of need due to a combination of growing demand, complexity of cancer and cancer treatment, shrinking workforce, and rising costs. The report concluded that cancer care is not as patient-centered, accessible, coordinated, or evidence based as it could be, with detrimental impacts on patients.³ Patients with cancer have been identified as a high-risk population for hospital readmissions.^4,5 Lack of timely follow-up and failed hand-offs have been identified as factors contributing to poor outcomes at time of discharge.^6-10

Upon internal review of baseline performance data, we identified areas needing improvement in the discharge process. These included time to hematology and oncology follow-up appointment, percent of patients with PCP appointments scheduled at time of discharge, and electronically alerts for the outpatient hematologist/oncologist to discharge summaries. It was determined that patients discharged from the inpatient service were seen a mean 17 days later by their outpatient hematology and oncology provider and the time to the follow-up appointment varied substantially, with some patients being seen several weeks to months after discharge. Furthermore, only 68% of patients had a primary care appointment scheduled at the time of discharge. These data along with review of data reported in the medical literature supported our initiative for improvement in the transition from inpatient to outpatient care for our hematology and oncology patients.

Plan-Do-Study-Act (PDSA) quality improvement methodology was used to create and implement several interventions to standardize the discharge process for this patient population, with the primary goal of decreasing the mean time to hematology and oncology follow-up from 17 days by 12% to fewer than 14 days. Patients who do not require close oncologic follow-up should be seen by a PCP within this timeframe. Otherwise, PCP follow-up within at least 6 months should be made. Secondary aims included (1) an increase in scheduled PCP visits at time of discharge from 68% to > 90%; and (2) an increase in communication of the discharge summary via electronic alerting of the outpatient hematology and oncology physician from 20% to > 90%. Herein, we report our experience and results of this quality improvement initiative

Methods

The Institutional Review Board at Edward Hines Veteran Affairs Hospital in Hines, Illinois reviewed this single-center study and deemed it to be exempt from oversight. Using PDSA quality improvement methodology, a multidisciplinary team of hematology and oncology staff developed and implemented a standardized discharge process. The multidisciplinary team included a robust representation of inpatient and outpatient staff caring for the hematology and oncology patient population, including attending physicians, fellows, residents, advanced practice nurses, registered nurses, clinical pharmacists, patient care coordinators, clinic schedulers, clinical applications coordinators, quality support staff, and a systems redesign coach. Hospital leadership including chief of staff, chief of medicine, and chief of nursing participated as the management guidance team. Several interviews and group meetings were conducted and a multidisciplinary team collaboratively developed and implemented the interventions and monitored the results.

Outcome measures were identified, including time to hematology and oncology clinic visit, primary care follow-up scheduling, and communication of discharge to the outpatient hematology and oncology physician. Baseline data were collected and reviewed. The multidisciplinary team developed a process flow map to understand the steps and resources involved with the transition from inpatient to outpatient care. Gap analysis and root cause analysis were performed. A solutions approach was applied to develop interventions. Table 1 shows a summary of the identified problems, symptoms, associated causes, the interventions aimed to address the problems, and expected outcomes. Rotating resident physicians were trained through online and in-person education. The multidisciplinary team met intermittently to monitor outcomes, provide feedback, further refine interventions, and develop additional interventions.

PDSA Cycle 1

A standardized discharge process was developed in the form of guidelines and expectations. These include an explanation of unique features of the hematology and oncology service and expectations of medication reconciliation with emphasis placed on antiemetics, antimicrobial prophylaxis, and bowel regimen when appropriate, outpatient hematology and oncology follow-up within 14 days, primary care follow-up, communication with the outpatient hematology and oncology physician, written discharge instructions, and bedside teaching when appropriate.

PDSA Cycle 2

Based on team member feedback and further discussions, a discharge checklist was developed. This checklist was available online, reviewed in person, and posted in the team room for rotating residents to use for discharge planning and when discharging patients (Figure 1).

PDSA Cycle 3

Based on ongoing user feedback, group discussions, and data monitoring, the discharge checklist was further refined and updated. An electronic clinical decision support tool was developed and integrated into the electronic medical record (EMR) in the form of a discharge checklist note template directly linked to orders. The tool is a computerized patient record system (CPRS) note template that prompts users to select whether medications or return to clinic orders are needed and offers a menu of frequently used medications. If any of the selections are chosen within the note template, an order is generated automatically in the chart that requires only the user’s signature. Furthermore, the patient care coordinator reviews the prescribed follow-up and works with the medical support assistant to make these appointments. The physician is contacted only when an appointment cannot be made. Therefore, this tool allows many additional actions to be bypassed such as generating medication and return to clinic orders individually and calling schedulers to make follow-up appointments (Figure 2).

Data Analysis

All patients discharged during the 2-month period prior to and discharged after the implementation of the standardized process were reviewed. Patients who followed up with hematology and oncology at another facility, enrolled in hospice, or died during admission were excluded. Follow-up appointment scheduling data and communication between inpatient and outpatient providers were reviewed. Data were analyzed using XmR statistical process control chart and Fisher’s Exact Test using GraphPad. Control limits were calculated for each PDSA cycle as the mean ± the average of the moving range multiplied by 2.66. All data were included in the analysis.

Results

A total of 142 consecutive patients were reviewed from May 1, 2018 to August 31, 2018 and January 1, 2019 to April 30, 2019, including 58 patients prior to the intervention and 84 patients during PDSA cycles. There was a gap in data collection between September 1, 2018 and December 31, 2018 due to limited team member availability. All data were collected by 2 reviewers—a postgraduate year (PGY)-4 chief resident and a PGY-2 internal medicine resident. The median age of patients in the preintervention group was 72 years and 69 years in the postintervention group. All patients were men. Baseline data revealed a mean 17 days to hematology and oncology follow-up. Primary care visits were scheduled for 68% of patients at the time of discharge. The outpatient hematology and oncology physician was alerted electronically to the discharge summary for 20% of the patients (Table 2).

The primary endpoint of time to hematology and oncology follow-up appointment improved to 13 days in PDSA cycles 1 and 2 and 10 days in PDSA cycle 3. The target of mean 14 days to follow-up was achieved. The statistical process control chart shows 5 shifts with clusters of ≥ 7 points below the mean revealing a true signal or change in the data and demonstrating that an improvement was seen (Figure 3). Furthermore, the statistical process control chart demonstrates upper control limit decreased from 58 days at baseline to 21 days in PDSA cycle 3, suggesting a decrease in variation.

Discussion

The 2013 IOM report Delivering High-Quality Cancer Care: Charting a New Course for a System in Crisis found that that cancer care is not as patient-centered, accessible, coordinated, or evidence-based as it could be, with detrimental impacts on patients.³ The document offered a conceptual framework to improve quality of cancer care that includes the translation of evidence into clinical practice, quality measurement, and performance improvement, as well as using advances in information technology to enhance quality measurement and performance improvement. Our quality initiative uses this framework to work toward the goal as stated by the IOM report: to deliver “comprehensive, patient-centered, evidence-based, high-quality cancer care that is accessible and affordable.”³

Two large studies that evaluated risk factors for 15-day and 30-day hospital readmissions identified cancer diagnosis as a risk factor for increased hospital readmission, highlighting the need to identify strategies to improve the discharge process for these patients.^4,5 Timely outpatient follow-up and better patient hand-off may improve clinical outcomes among this high-risk patient population after hospital discharge. Multiple studies have demonstrated that timely follow-up is associated with fewer readmissions.^1,8-10 A study by Forster and colleagues that evaluated postdischarge adverse events (AEs) revealed a 23% incidence of AEs with 12% of these identified as preventable. Postdischarge monitoring was deemed inadequate among these patients, with closer follow-up and improved hand-offs between inpatient and outpatient medical teams identified as possible interventions to improve postdischarge patient monitoring and to prevent AEs.⁷

The present quality initiative to standardize the discharge process for the hematology and oncology service decreased time to hematology and oncology follow-up appointment, improved communication between inpatient and outpatient teams, and decreased process variation. Timelier follow-up for this complex patient population likely will prevent clinical decompensation, delays in treatment, and directly improve patient access to care.

The multidisciplinary nature of this effort was instrumental to successful completion. In a complex health care system, it is challenging to truly understand a problem and identify possible solutions without the perspective of all members of the care team. The involvement of team members with training in quality improvement methodology was important to evaluate and develop interventions in a systematic way. Furthermore, the support and involvement of leadership is important in order to allocate resources appropriately to achieve system changes that improve care. Using quality improvement methodology, the team was able to map our processes and perform gap and root cause analyses. Strategies were identified to improve our performance using a solutions approach. Changes were implemented with continued intermittent meetings for monitoring of progression and discussion of how interventions could be made more efficient, effective, and user friendly. The primary goal was ultimately achieved.

Integration of intervention into the EMR embodies the IOM’s call to use advances in information technology to enhance the quality and delivery of care, quality measurement, and performance improvement.³ This intervention offered the strongest system changes as an electronic clinical decision support tool was developed and embedded into the EMR in the form of a Discharge Checklist Note that is linked to associated orders. This intervention was the most robust, as it provided objective data regarding utilization of the checklist, offered a more efficient way to communicate with team members regarding discharge needs, and streamlined the workflow for the discharging provider. Furthermore, this electronic tool created the ability to measure other important aspects in the care of this patient population that we previously had no mechanism of measuring: timely nursing appointments for routine care of PICC lines and ports.

Limitations

The absence of clinical endpoints was a limitation of this study. The present study was unable to evaluate the effect of the intervention on readmission rates, emergency department visits, hospital length of stay, cost, or mortality. Coordinating this multidisciplinary effort required much time and planning, and additional resources were not available to evaluate these clinical endpoints. Further studies are needed to evaluate whether the increased patient access and closer follow-up would result in improvement in these clinical endpoints. Another consideration for future improvement projects would be to include patients in the multidisciplinary team. The patient perspective would be invaluable in identifying gaps in care delivery and strategies aimed at improving care delivery.

Conclusions

This quality initiative to standardize the discharge process for the hematology and oncology service decreased time to the initial hematology and oncology follow-up appointment, improved communication between inpatient and outpatient teams, and decreased process variation. Timelier follow-up for this complex patient population likely will prevent clinical decompensation, delays in treatment, and directly improve patient access to care.

Acknowledgments

We thank our patients for whom we hope our process improvement efforts will ultimately benefit. We thank all the hematology and oncology staff at Edward Hines Jr. VA Hospital and Loyola University Medical Center residents and fellows who care for our patients and participated in the multidisciplinary team to improve care for our patients. We thank the following professionals for their uncompensated assistance in the coordination and execution of this initiative: Robert Kutter, MS, and Meghan O’Halloran, MD.

Hematology and oncology patients are a complex patient population that requires timely follow-up to prevent clinical decompensation and delays in treatment. Previous reports have demonstrated that outpatient follow-up within 14 days is associated with decreased 30-day readmissions. The magnitude of this effect is greater for higher-risk patients.¹ Therefore, patients being discharged from the hematology and oncology inpatient service should be seen by a hematology and oncology provider within 14 days of discharge. Patients who do not require close oncologic follow-up should be seen by a primary care provider (PCP) within this timeframe.

Background

The Institute of Medicine (IOM) identified the need to focus on quality improvement and patient safety with a 1999 report, To Err Is Human.² Tremendous strides have been made in the areas of quality improvement and patient safety over the past 2 decades. In a 2013 report, the IOM further identified hematology and oncology care as an area of need due to a combination of growing demand, complexity of cancer and cancer treatment, shrinking workforce, and rising costs. The report concluded that cancer care is not as patient-centered, accessible, coordinated, or evidence based as it could be, with detrimental impacts on patients.³ Patients with cancer have been identified as a high-risk population for hospital readmissions.^4,5 Lack of timely follow-up and failed hand-offs have been identified as factors contributing to poor outcomes at time of discharge.^6-10

Upon internal review of baseline performance data, we identified areas needing improvement in the discharge process. These included time to hematology and oncology follow-up appointment, percent of patients with PCP appointments scheduled at time of discharge, and electronically alerts for the outpatient hematologist/oncologist to discharge summaries. It was determined that patients discharged from the inpatient service were seen a mean 17 days later by their outpatient hematology and oncology provider and the time to the follow-up appointment varied substantially, with some patients being seen several weeks to months after discharge. Furthermore, only 68% of patients had a primary care appointment scheduled at the time of discharge. These data along with review of data reported in the medical literature supported our initiative for improvement in the transition from inpatient to outpatient care for our hematology and oncology patients.

Plan-Do-Study-Act (PDSA) quality improvement methodology was used to create and implement several interventions to standardize the discharge process for this patient population, with the primary goal of decreasing the mean time to hematology and oncology follow-up from 17 days by 12% to fewer than 14 days. Patients who do not require close oncologic follow-up should be seen by a PCP within this timeframe. Otherwise, PCP follow-up within at least 6 months should be made. Secondary aims included (1) an increase in scheduled PCP visits at time of discharge from 68% to > 90%; and (2) an increase in communication of the discharge summary via electronic alerting of the outpatient hematology and oncology physician from 20% to > 90%. Herein, we report our experience and results of this quality improvement initiative

Methods

The Institutional Review Board at Edward Hines Veteran Affairs Hospital in Hines, Illinois reviewed this single-center study and deemed it to be exempt from oversight. Using PDSA quality improvement methodology, a multidisciplinary team of hematology and oncology staff developed and implemented a standardized discharge process. The multidisciplinary team included a robust representation of inpatient and outpatient staff caring for the hematology and oncology patient population, including attending physicians, fellows, residents, advanced practice nurses, registered nurses, clinical pharmacists, patient care coordinators, clinic schedulers, clinical applications coordinators, quality support staff, and a systems redesign coach. Hospital leadership including chief of staff, chief of medicine, and chief of nursing participated as the management guidance team. Several interviews and group meetings were conducted and a multidisciplinary team collaboratively developed and implemented the interventions and monitored the results.

Outcome measures were identified, including time to hematology and oncology clinic visit, primary care follow-up scheduling, and communication of discharge to the outpatient hematology and oncology physician. Baseline data were collected and reviewed. The multidisciplinary team developed a process flow map to understand the steps and resources involved with the transition from inpatient to outpatient care. Gap analysis and root cause analysis were performed. A solutions approach was applied to develop interventions. Table 1 shows a summary of the identified problems, symptoms, associated causes, the interventions aimed to address the problems, and expected outcomes. Rotating resident physicians were trained through online and in-person education. The multidisciplinary team met intermittently to monitor outcomes, provide feedback, further refine interventions, and develop additional interventions.

PDSA Cycle 1

A standardized discharge process was developed in the form of guidelines and expectations. These include an explanation of unique features of the hematology and oncology service and expectations of medication reconciliation with emphasis placed on antiemetics, antimicrobial prophylaxis, and bowel regimen when appropriate, outpatient hematology and oncology follow-up within 14 days, primary care follow-up, communication with the outpatient hematology and oncology physician, written discharge instructions, and bedside teaching when appropriate.

PDSA Cycle 2

Based on team member feedback and further discussions, a discharge checklist was developed. This checklist was available online, reviewed in person, and posted in the team room for rotating residents to use for discharge planning and when discharging patients (Figure 1).

PDSA Cycle 3

Based on ongoing user feedback, group discussions, and data monitoring, the discharge checklist was further refined and updated. An electronic clinical decision support tool was developed and integrated into the electronic medical record (EMR) in the form of a discharge checklist note template directly linked to orders. The tool is a computerized patient record system (CPRS) note template that prompts users to select whether medications or return to clinic orders are needed and offers a menu of frequently used medications. If any of the selections are chosen within the note template, an order is generated automatically in the chart that requires only the user’s signature. Furthermore, the patient care coordinator reviews the prescribed follow-up and works with the medical support assistant to make these appointments. The physician is contacted only when an appointment cannot be made. Therefore, this tool allows many additional actions to be bypassed such as generating medication and return to clinic orders individually and calling schedulers to make follow-up appointments (Figure 2).

Data Analysis

All patients discharged during the 2-month period prior to and discharged after the implementation of the standardized process were reviewed. Patients who followed up with hematology and oncology at another facility, enrolled in hospice, or died during admission were excluded. Follow-up appointment scheduling data and communication between inpatient and outpatient providers were reviewed. Data were analyzed using XmR statistical process control chart and Fisher’s Exact Test using GraphPad. Control limits were calculated for each PDSA cycle as the mean ± the average of the moving range multiplied by 2.66. All data were included in the analysis.

Results

A total of 142 consecutive patients were reviewed from May 1, 2018 to August 31, 2018 and January 1, 2019 to April 30, 2019, including 58 patients prior to the intervention and 84 patients during PDSA cycles. There was a gap in data collection between September 1, 2018 and December 31, 2018 due to limited team member availability. All data were collected by 2 reviewers—a postgraduate year (PGY)-4 chief resident and a PGY-2 internal medicine resident. The median age of patients in the preintervention group was 72 years and 69 years in the postintervention group. All patients were men. Baseline data revealed a mean 17 days to hematology and oncology follow-up. Primary care visits were scheduled for 68% of patients at the time of discharge. The outpatient hematology and oncology physician was alerted electronically to the discharge summary for 20% of the patients (Table 2).

The primary endpoint of time to hematology and oncology follow-up appointment improved to 13 days in PDSA cycles 1 and 2 and 10 days in PDSA cycle 3. The target of mean 14 days to follow-up was achieved. The statistical process control chart shows 5 shifts with clusters of ≥ 7 points below the mean revealing a true signal or change in the data and demonstrating that an improvement was seen (Figure 3). Furthermore, the statistical process control chart demonstrates upper control limit decreased from 58 days at baseline to 21 days in PDSA cycle 3, suggesting a decrease in variation.

Discussion

The 2013 IOM report Delivering High-Quality Cancer Care: Charting a New Course for a System in Crisis found that that cancer care is not as patient-centered, accessible, coordinated, or evidence-based as it could be, with detrimental impacts on patients.³ The document offered a conceptual framework to improve quality of cancer care that includes the translation of evidence into clinical practice, quality measurement, and performance improvement, as well as using advances in information technology to enhance quality measurement and performance improvement. Our quality initiative uses this framework to work toward the goal as stated by the IOM report: to deliver “comprehensive, patient-centered, evidence-based, high-quality cancer care that is accessible and affordable.”³

Two large studies that evaluated risk factors for 15-day and 30-day hospital readmissions identified cancer diagnosis as a risk factor for increased hospital readmission, highlighting the need to identify strategies to improve the discharge process for these patients.^4,5 Timely outpatient follow-up and better patient hand-off may improve clinical outcomes among this high-risk patient population after hospital discharge. Multiple studies have demonstrated that timely follow-up is associated with fewer readmissions.^1,8-10 A study by Forster and colleagues that evaluated postdischarge adverse events (AEs) revealed a 23% incidence of AEs with 12% of these identified as preventable. Postdischarge monitoring was deemed inadequate among these patients, with closer follow-up and improved hand-offs between inpatient and outpatient medical teams identified as possible interventions to improve postdischarge patient monitoring and to prevent AEs.⁷

The present quality initiative to standardize the discharge process for the hematology and oncology service decreased time to hematology and oncology follow-up appointment, improved communication between inpatient and outpatient teams, and decreased process variation. Timelier follow-up for this complex patient population likely will prevent clinical decompensation, delays in treatment, and directly improve patient access to care.

The multidisciplinary nature of this effort was instrumental to successful completion. In a complex health care system, it is challenging to truly understand a problem and identify possible solutions without the perspective of all members of the care team. The involvement of team members with training in quality improvement methodology was important to evaluate and develop interventions in a systematic way. Furthermore, the support and involvement of leadership is important in order to allocate resources appropriately to achieve system changes that improve care. Using quality improvement methodology, the team was able to map our processes and perform gap and root cause analyses. Strategies were identified to improve our performance using a solutions approach. Changes were implemented with continued intermittent meetings for monitoring of progression and discussion of how interventions could be made more efficient, effective, and user friendly. The primary goal was ultimately achieved.

Integration of intervention into the EMR embodies the IOM’s call to use advances in information technology to enhance the quality and delivery of care, quality measurement, and performance improvement.³ This intervention offered the strongest system changes as an electronic clinical decision support tool was developed and embedded into the EMR in the form of a Discharge Checklist Note that is linked to associated orders. This intervention was the most robust, as it provided objective data regarding utilization of the checklist, offered a more efficient way to communicate with team members regarding discharge needs, and streamlined the workflow for the discharging provider. Furthermore, this electronic tool created the ability to measure other important aspects in the care of this patient population that we previously had no mechanism of measuring: timely nursing appointments for routine care of PICC lines and ports.

Limitations

The absence of clinical endpoints was a limitation of this study. The present study was unable to evaluate the effect of the intervention on readmission rates, emergency department visits, hospital length of stay, cost, or mortality. Coordinating this multidisciplinary effort required much time and planning, and additional resources were not available to evaluate these clinical endpoints. Further studies are needed to evaluate whether the increased patient access and closer follow-up would result in improvement in these clinical endpoints. Another consideration for future improvement projects would be to include patients in the multidisciplinary team. The patient perspective would be invaluable in identifying gaps in care delivery and strategies aimed at improving care delivery.

Conclusions

This quality initiative to standardize the discharge process for the hematology and oncology service decreased time to the initial hematology and oncology follow-up appointment, improved communication between inpatient and outpatient teams, and decreased process variation. Timelier follow-up for this complex patient population likely will prevent clinical decompensation, delays in treatment, and directly improve patient access to care.

Acknowledgments

We thank our patients for whom we hope our process improvement efforts will ultimately benefit. We thank all the hematology and oncology staff at Edward Hines Jr. VA Hospital and Loyola University Medical Center residents and fellows who care for our patients and participated in the multidisciplinary team to improve care for our patients. We thank the following professionals for their uncompensated assistance in the coordination and execution of this initiative: Robert Kutter, MS, and Meghan O’Halloran, MD.

Stereotactic ablative radiotherapy (SABR) has become the standard of care for inoperable early-stage non-small cell lung cancer (NSCLC). Many patients are unable to undergo a biopsy safely because of poor pulmonary function or underlying emphysema and are then empirically treated with radiotherapy if they meet criteria. In these patients, local control can be achieved with SABR with minimal toxicity.¹ Considering that median overall survival (OS) among patients with untreated stage I NSCLC has been reported to be as low as 9 months, early treatment with SABR could lead to increased survival of 29 to 60 months.^2-4

The RTOG 0236 trial showed a median OS of 48 months and the randomized phase III CHISEL trial showed a median OS of 60 months; however, these survival data were reported in patients who were able to safely undergo a biopsy and had confirmed NSCLC.^4,5 For patients without a diagnosis confirmed by biopsy and who are treated with empiric SABR, patient factors that influence radiation toxicity and OS are not well defined.

It is not clear if empiric radiation benefits survival or if treatment causes decline in lung function, considering that underlying chronic lung disease precludes these patients from biopsy. The purpose of this study was to evaluate the factors associated with radiation toxicity with empiric SABR and to evaluate OS in this population without a biopsy-confirmed diagnosis.

Methods

This was a single center retrospective review of patients treated at the radiation oncology department at the Kansas City Veterans Affairs Medical Center from August 2014 to February 2019. Data were collected on 69 patients with pulmonary nodules identified by chest computed tomography (CT) and/or positron emission tomography (PET)-CT that were highly suspicious for primary NSCLC.

These patients were presented at a multidisciplinary meeting that involved pulmonologists, oncologists, radiation oncologists, and thoracic surgeons. Patients were deemed to be poor candidates for biopsy because of severe underlying emphysema, which would put them at high risk for pneumothorax with a percutaneous needle biopsy, or were unable to tolerate general anesthesia for navigational bronchoscopy or surgical biopsy because of poor lung function. These patients were diagnosed with presumed stage I NSCLC using the criteria: minimum of 2 sequential CT scans with enlarging nodule; absence of metastases on PET-CT; the single nodule had to be fluorodeoxyglucose avid with a minimum standardized uptake value of 2.5, and absence of clinical history or physical examination consistent with small cell lung cancer or infection.

After a consensus was reached that patients met these criteria, individuals were referred for empiric SABR. Follow-up visits were at 1 month, 3 months, and every 6 months. Variables analyzed included: patient demographics, pre- and posttreatment pulmonary function tests (PFT) when available, pre-treatment oxygen use, tumor size and location (peripheral, central, or ultra-central), radiation doses, and grade of toxicity as defined by Human and Health Services Common Terminology Criteria for Adverse Events version 5.0 (dyspnea and cough both counted as pulmonary toxicity): acute ≤ 90 days and late > 90 days (Table 1).

Results

The median follow-up was 18 months (range, 1 to 54). The median age was 71 years (range, 59 to 95) (Table 2). Most patients (97.1%) were male. The majority of patients (79.4%) had a 0 or 1 for the Eastern Cooperative Oncology group performance status, indicating fully active or restricted in physically strenuous activity but ambulatory and able to perform light work. All patients were either current or former smokers with an average pack-year history of 69.4. Only 11.6% of patients had operable disease, but received empiric SABR because they declined surgery. Four patients did not have pretreatment spirometry available and 37 did not have pretreatment diffusing capacity for carbon monoxide (DLCO) data.

Most patients had a pretreatment forced expiratory volume during the first seconds (FEV₁) value and DLCO < 60% of predicted (60% and 84% of the patients, respectively). The median tumor diameter was 2 cm. Of the 68.2% of patients who did not have chronic hypoxemic respiratory failure before SABR, 16% developed a new requirement for supplemental oxygen. Sixty-two tumors (89.9%) were peripheral. There were 4 local recurrences (5.7%), 10 regional (different lobe and nodal) failures (14.3%), and 15 distant metastases (21.4%).

Nineteen of 67 patients (26.3%) had acute toxicity of which 9 had acute grade ≥ 2 toxicity; information regarding toxicity was missing on 2 patients. Thirty-two of 65 (49.9%) patients had late toxicity of which 20 (30.8%) had late grade ≥ 2 toxicity. The main factor associated with development of acute toxicity was pretreatment oxygendependence (P = .047). This was not significant when comparing only inoperable patients. Twenty patients (29.9%) developed some type of acute toxicity; pulmonary toxicity was most common (22.4%) (Table 3). All patients with acute toxicity also developed late toxicity except for 1 who died before 3 months. Predominantly, the deaths in our sample were from causes other than the malignancy or treatment, such as sepsis, deconditioning after a fall, cardiovascular complications, etc. Acute toxicity of grade ≥ 2 was significantly associated with late toxicity (P < .001 for both) in both operable and inoperable patients (P < .001).

Discussion

SABR is an effective treatment for inoperable early-stage NSCLC, however its therapeutic ratio in a more frail population who cannot withstand biopsy is not well established. Additionally, the prevalence of benign disease in patients with solitary pulmonary nodules can be between 9% and 21%.⁶ Haidar and colleagues looked at 55 patients who received empiric SABR and found a median OS of 30.2 months with an 8.7% risk of local failure, 13% risk of regional failure with 8.7% acute toxicity, and 13% chronic toxicity.⁷ Data from Harkenrider and colleagues (n = 34) revealed similar results with a 2-year OS of 85%, local control of 97.1%, and regional control of 80%. The authors noted no grade ≥ 3 acute toxicities and an incidence of grade ≥ 3 late toxicities of 8.8%.¹ These findings are concordant with our study results, confirming the safety and efficacy of SABR. Furthermore, a National Cancer Database analysis of observation vs empiric SABR found an OS of 10.1 months and 29 months respectively, with a hazard ratio of 0.64 (P < .001).³ Additionally, Fischer-Valuck and colleagues (n = 88) compared biopsy confirmed vs unbiopsied patients treated with SABR and found no difference in the 3-year local progression-free survival (93.1% vs 94.1%), regional lymph node metastasis and distant metastases free survival (92.5% vs 87.4%), or OS (59.9% vs 58.9%).⁸ With a median OS of ≤ 1 year for untreated stage I NSCLC,these studies support treating patients with empiric SABR.⁴

Other researchers have sought parameters to identify patients for whom radiation therapy would be too toxic. Guckenberger and colleagues aimed to establish a lower limit of pretreatment PFT to exclude patients and found only a 7% incidence of grade ≥ 2 adverse effects and toxicity did not increase with lower pulmonary function.⁹ They concluded that SABR was safe even for patients with poor pulmonary function. Other institutions have confirmed such findings and have been unable to find a cut-off PFT to exclude patients from empiric SABR.^10,11 An analysis from the RTOG 0236 trial also noted that poor baseline PFT could not predict pulmonary toxicity or survival. Additionally, the study demonstrated only minimal decreases in patients’ FEV₁ (5.8%) and DLCO (6%) at 2 years.¹²

Limitations

Our study is limited by caveats of a retrospective study and its small sample size, but is in line with the reported literature (ranging from 33 to 88 patients).^1,7,8 Another limitation is that data on pretreatment DLCO was missing in 37 patients and the lack of statistical robustness in terms of the smaller inoperable cohort, which limits the analyses of these factors in regards to anticipated morbidity from SABR. Also, given this is data collected from the US Department of Veterans Affairs, only 3% of our sample was female.

Conclusions

Empiric SABR for patients with presumed early-stage NSCLC appears to be safe and might positively impact OS. Development of any acute toxicity grade ≥ 2 was significantly associated with dependence on supplemental oxygen before treatment, central tumor location, and development of new oxygen requirement. No association was found in patients with poor pulmonary function before treatment because we could not find a FEV₁ or DLCO cutoff that could preclude patients from empiric SABR. Considering the poor survival of untreated early-stage NSCLC, coupled with the efficacy and safety of empiric SABR for those with presumed disease, definitive SABR should be offered selectively within this patient population.

Acknowledgments

Drs. Park, Whiting and Castillo contributed to data collection. Drs. Park, Govindan and Castillo contributed to the statistical analysis and writing the first draft and final manuscript. Drs. Park, Govindan, Huang, and Reddy contributed to the discussion section.

Stereotactic ablative radiotherapy (SABR) has become the standard of care for inoperable early-stage non-small cell lung cancer (NSCLC). Many patients are unable to undergo a biopsy safely because of poor pulmonary function or underlying emphysema and are then empirically treated with radiotherapy if they meet criteria. In these patients, local control can be achieved with SABR with minimal toxicity.¹ Considering that median overall survival (OS) among patients with untreated stage I NSCLC has been reported to be as low as 9 months, early treatment with SABR could lead to increased survival of 29 to 60 months.^2-4

The RTOG 0236 trial showed a median OS of 48 months and the randomized phase III CHISEL trial showed a median OS of 60 months; however, these survival data were reported in patients who were able to safely undergo a biopsy and had confirmed NSCLC.^4,5 For patients without a diagnosis confirmed by biopsy and who are treated with empiric SABR, patient factors that influence radiation toxicity and OS are not well defined.

It is not clear if empiric radiation benefits survival or if treatment causes decline in lung function, considering that underlying chronic lung disease precludes these patients from biopsy. The purpose of this study was to evaluate the factors associated with radiation toxicity with empiric SABR and to evaluate OS in this population without a biopsy-confirmed diagnosis.

Methods

This was a single center retrospective review of patients treated at the radiation oncology department at the Kansas City Veterans Affairs Medical Center from August 2014 to February 2019. Data were collected on 69 patients with pulmonary nodules identified by chest computed tomography (CT) and/or positron emission tomography (PET)-CT that were highly suspicious for primary NSCLC.

These patients were presented at a multidisciplinary meeting that involved pulmonologists, oncologists, radiation oncologists, and thoracic surgeons. Patients were deemed to be poor candidates for biopsy because of severe underlying emphysema, which would put them at high risk for pneumothorax with a percutaneous needle biopsy, or were unable to tolerate general anesthesia for navigational bronchoscopy or surgical biopsy because of poor lung function. These patients were diagnosed with presumed stage I NSCLC using the criteria: minimum of 2 sequential CT scans with enlarging nodule; absence of metastases on PET-CT; the single nodule had to be fluorodeoxyglucose avid with a minimum standardized uptake value of 2.5, and absence of clinical history or physical examination consistent with small cell lung cancer or infection.

After a consensus was reached that patients met these criteria, individuals were referred for empiric SABR. Follow-up visits were at 1 month, 3 months, and every 6 months. Variables analyzed included: patient demographics, pre- and posttreatment pulmonary function tests (PFT) when available, pre-treatment oxygen use, tumor size and location (peripheral, central, or ultra-central), radiation doses, and grade of toxicity as defined by Human and Health Services Common Terminology Criteria for Adverse Events version 5.0 (dyspnea and cough both counted as pulmonary toxicity): acute ≤ 90 days and late > 90 days (Table 1).

Results

The median follow-up was 18 months (range, 1 to 54). The median age was 71 years (range, 59 to 95) (Table 2). Most patients (97.1%) were male. The majority of patients (79.4%) had a 0 or 1 for the Eastern Cooperative Oncology group performance status, indicating fully active or restricted in physically strenuous activity but ambulatory and able to perform light work. All patients were either current or former smokers with an average pack-year history of 69.4. Only 11.6% of patients had operable disease, but received empiric SABR because they declined surgery. Four patients did not have pretreatment spirometry available and 37 did not have pretreatment diffusing capacity for carbon monoxide (DLCO) data.

Most patients had a pretreatment forced expiratory volume during the first seconds (FEV₁) value and DLCO < 60% of predicted (60% and 84% of the patients, respectively). The median tumor diameter was 2 cm. Of the 68.2% of patients who did not have chronic hypoxemic respiratory failure before SABR, 16% developed a new requirement for supplemental oxygen. Sixty-two tumors (89.9%) were peripheral. There were 4 local recurrences (5.7%), 10 regional (different lobe and nodal) failures (14.3%), and 15 distant metastases (21.4%).

Nineteen of 67 patients (26.3%) had acute toxicity of which 9 had acute grade ≥ 2 toxicity; information regarding toxicity was missing on 2 patients. Thirty-two of 65 (49.9%) patients had late toxicity of which 20 (30.8%) had late grade ≥ 2 toxicity. The main factor associated with development of acute toxicity was pretreatment oxygendependence (P = .047). This was not significant when comparing only inoperable patients. Twenty patients (29.9%) developed some type of acute toxicity; pulmonary toxicity was most common (22.4%) (Table 3). All patients with acute toxicity also developed late toxicity except for 1 who died before 3 months. Predominantly, the deaths in our sample were from causes other than the malignancy or treatment, such as sepsis, deconditioning after a fall, cardiovascular complications, etc. Acute toxicity of grade ≥ 2 was significantly associated with late toxicity (P < .001 for both) in both operable and inoperable patients (P < .001).

Discussion

SABR is an effective treatment for inoperable early-stage NSCLC, however its therapeutic ratio in a more frail population who cannot withstand biopsy is not well established. Additionally, the prevalence of benign disease in patients with solitary pulmonary nodules can be between 9% and 21%.⁶ Haidar and colleagues looked at 55 patients who received empiric SABR and found a median OS of 30.2 months with an 8.7% risk of local failure, 13% risk of regional failure with 8.7% acute toxicity, and 13% chronic toxicity.⁷ Data from Harkenrider and colleagues (n = 34) revealed similar results with a 2-year OS of 85%, local control of 97.1%, and regional control of 80%. The authors noted no grade ≥ 3 acute toxicities and an incidence of grade ≥ 3 late toxicities of 8.8%.¹ These findings are concordant with our study results, confirming the safety and efficacy of SABR. Furthermore, a National Cancer Database analysis of observation vs empiric SABR found an OS of 10.1 months and 29 months respectively, with a hazard ratio of 0.64 (P < .001).³ Additionally, Fischer-Valuck and colleagues (n = 88) compared biopsy confirmed vs unbiopsied patients treated with SABR and found no difference in the 3-year local progression-free survival (93.1% vs 94.1%), regional lymph node metastasis and distant metastases free survival (92.5% vs 87.4%), or OS (59.9% vs 58.9%).⁸ With a median OS of ≤ 1 year for untreated stage I NSCLC,these studies support treating patients with empiric SABR.⁴

Other researchers have sought parameters to identify patients for whom radiation therapy would be too toxic. Guckenberger and colleagues aimed to establish a lower limit of pretreatment PFT to exclude patients and found only a 7% incidence of grade ≥ 2 adverse effects and toxicity did not increase with lower pulmonary function.⁹ They concluded that SABR was safe even for patients with poor pulmonary function. Other institutions have confirmed such findings and have been unable to find a cut-off PFT to exclude patients from empiric SABR.^10,11 An analysis from the RTOG 0236 trial also noted that poor baseline PFT could not predict pulmonary toxicity or survival. Additionally, the study demonstrated only minimal decreases in patients’ FEV₁ (5.8%) and DLCO (6%) at 2 years.¹²

Limitations

Our study is limited by caveats of a retrospective study and its small sample size, but is in line with the reported literature (ranging from 33 to 88 patients).^1,7,8 Another limitation is that data on pretreatment DLCO was missing in 37 patients and the lack of statistical robustness in terms of the smaller inoperable cohort, which limits the analyses of these factors in regards to anticipated morbidity from SABR. Also, given this is data collected from the US Department of Veterans Affairs, only 3% of our sample was female.

Conclusions

Empiric SABR for patients with presumed early-stage NSCLC appears to be safe and might positively impact OS. Development of any acute toxicity grade ≥ 2 was significantly associated with dependence on supplemental oxygen before treatment, central tumor location, and development of new oxygen requirement. No association was found in patients with poor pulmonary function before treatment because we could not find a FEV₁ or DLCO cutoff that could preclude patients from empiric SABR. Considering the poor survival of untreated early-stage NSCLC, coupled with the efficacy and safety of empiric SABR for those with presumed disease, definitive SABR should be offered selectively within this patient population.

Acknowledgments

Drs. Park, Whiting and Castillo contributed to data collection. Drs. Park, Govindan and Castillo contributed to the statistical analysis and writing the first draft and final manuscript. Drs. Park, Govindan, Huang, and Reddy contributed to the discussion section.

Stereotactic ablative radiotherapy (SABR) has become the standard of care for inoperable early-stage non-small cell lung cancer (NSCLC). Many patients are unable to undergo a biopsy safely because of poor pulmonary function or underlying emphysema and are then empirically treated with radiotherapy if they meet criteria. In these patients, local control can be achieved with SABR with minimal toxicity.¹ Considering that median overall survival (OS) among patients with untreated stage I NSCLC has been reported to be as low as 9 months, early treatment with SABR could lead to increased survival of 29 to 60 months.^2-4

The RTOG 0236 trial showed a median OS of 48 months and the randomized phase III CHISEL trial showed a median OS of 60 months; however, these survival data were reported in patients who were able to safely undergo a biopsy and had confirmed NSCLC.^4,5 For patients without a diagnosis confirmed by biopsy and who are treated with empiric SABR, patient factors that influence radiation toxicity and OS are not well defined.

It is not clear if empiric radiation benefits survival or if treatment causes decline in lung function, considering that underlying chronic lung disease precludes these patients from biopsy. The purpose of this study was to evaluate the factors associated with radiation toxicity with empiric SABR and to evaluate OS in this population without a biopsy-confirmed diagnosis.

Methods

This was a single center retrospective review of patients treated at the radiation oncology department at the Kansas City Veterans Affairs Medical Center from August 2014 to February 2019. Data were collected on 69 patients with pulmonary nodules identified by chest computed tomography (CT) and/or positron emission tomography (PET)-CT that were highly suspicious for primary NSCLC.

These patients were presented at a multidisciplinary meeting that involved pulmonologists, oncologists, radiation oncologists, and thoracic surgeons. Patients were deemed to be poor candidates for biopsy because of severe underlying emphysema, which would put them at high risk for pneumothorax with a percutaneous needle biopsy, or were unable to tolerate general anesthesia for navigational bronchoscopy or surgical biopsy because of poor lung function. These patients were diagnosed with presumed stage I NSCLC using the criteria: minimum of 2 sequential CT scans with enlarging nodule; absence of metastases on PET-CT; the single nodule had to be fluorodeoxyglucose avid with a minimum standardized uptake value of 2.5, and absence of clinical history or physical examination consistent with small cell lung cancer or infection.

After a consensus was reached that patients met these criteria, individuals were referred for empiric SABR. Follow-up visits were at 1 month, 3 months, and every 6 months. Variables analyzed included: patient demographics, pre- and posttreatment pulmonary function tests (PFT) when available, pre-treatment oxygen use, tumor size and location (peripheral, central, or ultra-central), radiation doses, and grade of toxicity as defined by Human and Health Services Common Terminology Criteria for Adverse Events version 5.0 (dyspnea and cough both counted as pulmonary toxicity): acute ≤ 90 days and late > 90 days (Table 1).

Results

The median follow-up was 18 months (range, 1 to 54). The median age was 71 years (range, 59 to 95) (Table 2). Most patients (97.1%) were male. The majority of patients (79.4%) had a 0 or 1 for the Eastern Cooperative Oncology group performance status, indicating fully active or restricted in physically strenuous activity but ambulatory and able to perform light work. All patients were either current or former smokers with an average pack-year history of 69.4. Only 11.6% of patients had operable disease, but received empiric SABR because they declined surgery. Four patients did not have pretreatment spirometry available and 37 did not have pretreatment diffusing capacity for carbon monoxide (DLCO) data.

Most patients had a pretreatment forced expiratory volume during the first seconds (FEV₁) value and DLCO < 60% of predicted (60% and 84% of the patients, respectively). The median tumor diameter was 2 cm. Of the 68.2% of patients who did not have chronic hypoxemic respiratory failure before SABR, 16% developed a new requirement for supplemental oxygen. Sixty-two tumors (89.9%) were peripheral. There were 4 local recurrences (5.7%), 10 regional (different lobe and nodal) failures (14.3%), and 15 distant metastases (21.4%).

Nineteen of 67 patients (26.3%) had acute toxicity of which 9 had acute grade ≥ 2 toxicity; information regarding toxicity was missing on 2 patients. Thirty-two of 65 (49.9%) patients had late toxicity of which 20 (30.8%) had late grade ≥ 2 toxicity. The main factor associated with development of acute toxicity was pretreatment oxygendependence (P = .047). This was not significant when comparing only inoperable patients. Twenty patients (29.9%) developed some type of acute toxicity; pulmonary toxicity was most common (22.4%) (Table 3). All patients with acute toxicity also developed late toxicity except for 1 who died before 3 months. Predominantly, the deaths in our sample were from causes other than the malignancy or treatment, such as sepsis, deconditioning after a fall, cardiovascular complications, etc. Acute toxicity of grade ≥ 2 was significantly associated with late toxicity (P < .001 for both) in both operable and inoperable patients (P < .001).

Discussion

SABR is an effective treatment for inoperable early-stage NSCLC, however its therapeutic ratio in a more frail population who cannot withstand biopsy is not well established. Additionally, the prevalence of benign disease in patients with solitary pulmonary nodules can be between 9% and 21%.⁶ Haidar and colleagues looked at 55 patients who received empiric SABR and found a median OS of 30.2 months with an 8.7% risk of local failure, 13% risk of regional failure with 8.7% acute toxicity, and 13% chronic toxicity.⁷ Data from Harkenrider and colleagues (n = 34) revealed similar results with a 2-year OS of 85%, local control of 97.1%, and regional control of 80%. The authors noted no grade ≥ 3 acute toxicities and an incidence of grade ≥ 3 late toxicities of 8.8%.¹ These findings are concordant with our study results, confirming the safety and efficacy of SABR. Furthermore, a National Cancer Database analysis of observation vs empiric SABR found an OS of 10.1 months and 29 months respectively, with a hazard ratio of 0.64 (P < .001).³ Additionally, Fischer-Valuck and colleagues (n = 88) compared biopsy confirmed vs unbiopsied patients treated with SABR and found no difference in the 3-year local progression-free survival (93.1% vs 94.1%), regional lymph node metastasis and distant metastases free survival (92.5% vs 87.4%), or OS (59.9% vs 58.9%).⁸ With a median OS of ≤ 1 year for untreated stage I NSCLC,these studies support treating patients with empiric SABR.⁴

Other researchers have sought parameters to identify patients for whom radiation therapy would be too toxic. Guckenberger and colleagues aimed to establish a lower limit of pretreatment PFT to exclude patients and found only a 7% incidence of grade ≥ 2 adverse effects and toxicity did not increase with lower pulmonary function.⁹ They concluded that SABR was safe even for patients with poor pulmonary function. Other institutions have confirmed such findings and have been unable to find a cut-off PFT to exclude patients from empiric SABR.^10,11 An analysis from the RTOG 0236 trial also noted that poor baseline PFT could not predict pulmonary toxicity or survival. Additionally, the study demonstrated only minimal decreases in patients’ FEV₁ (5.8%) and DLCO (6%) at 2 years.¹²

Limitations

Our study is limited by caveats of a retrospective study and its small sample size, but is in line with the reported literature (ranging from 33 to 88 patients).^1,7,8 Another limitation is that data on pretreatment DLCO was missing in 37 patients and the lack of statistical robustness in terms of the smaller inoperable cohort, which limits the analyses of these factors in regards to anticipated morbidity from SABR. Also, given this is data collected from the US Department of Veterans Affairs, only 3% of our sample was female.

Conclusions

Empiric SABR for patients with presumed early-stage NSCLC appears to be safe and might positively impact OS. Development of any acute toxicity grade ≥ 2 was significantly associated with dependence on supplemental oxygen before treatment, central tumor location, and development of new oxygen requirement. No association was found in patients with poor pulmonary function before treatment because we could not find a FEV₁ or DLCO cutoff that could preclude patients from empiric SABR. Considering the poor survival of untreated early-stage NSCLC, coupled with the efficacy and safety of empiric SABR for those with presumed disease, definitive SABR should be offered selectively within this patient population.

Acknowledgments

Drs. Park, Whiting and Castillo contributed to data collection. Drs. Park, Govindan and Castillo contributed to the statistical analysis and writing the first draft and final manuscript. Drs. Park, Govindan, Huang, and Reddy contributed to the discussion section.

Evaluation of oral antineoplastic agent (OAN) adherence patterns have identified correlations between nonadherence or over-adherence and poorer disease-related outcomes. Multiple studies have focused on imatinib use in chronic myeloid leukemia (CML) due to its continuous, long-term use. A study by Ganesan and colleagues found that nonadherence to imatinib showed a significant decrease in 5-year event-free survival between 76.7% of adherent participants compared with 59.8% of nonadherent participants.¹ This study found that 44% of patients who were adherent to imatinib achieved complete cytogenetic response vs only 26% of patients who were nonadherent. In another study of imatinib for CML, major molecular response (MMR) was strongly correlated with adherence and no patients with adherence < 80% were able to achieve MMR.² Similarly, in studies of tamoxifen for breast cancer, < 80% adherence resulted in a 10% decrease in survival when compared to those who were more adherent.^3,4

In addition to the clinical implications of nonadherence, there can be a significant cost associated with suboptimal use of these medications. The price of a single dose of OAN medication may cost as much as $440.⁵

The benefits of multidisciplinary care teams have been identified in many studies.^6,7 While studies are limited in oncology, pharmacists provide vital contributions to the oncology multidisciplinary team when managing OANs as these health care professionals have expert knowledge of the medications, potential adverse events (AEs), and necessary monitoring parameters.⁸ In one study, patients seen by the pharmacist-led oral chemotherapy management program experienced improved clinical outcomes and response to therapy when compared with preintervention patients (early molecular response, 88.9% vs 54.8%, P = .01; major molecular response, 83.3% vs 57.6%, P = .06).⁹ During the study, 318 AEs were reported, leading to 235 pharmacist interventions to ameliorate AEs and improve adherence.

The primary objective of this study was to measure the impact of a pharmacist-driven OAN renewal clinic on medication adherence. The secondary objective was to estimate cost-savings of this new service.

Methods 

Prior to July 2014, several limitations were identified related to OAN prescribing and monitoring at the Richard L. Roudebush Veterans Affairs Medical Center in Indianapolis, Indiana (RLRVAMC). The prescription ordering process relied primarily on the patient to initiate refills, rather than the prescriber OAN prescriptions also lacked consistency for number of refills or quantities dispensed. Furthermore, ordering of antineoplastic products was not limited to hematology/oncology providers. Patients were identified with significant supply on hand at the time of medication discontinuation, creating concerns for medication waste, tolerability, and nonadherence.

As a result, opportunities were identified to improve the prescribing process, recommended monitoring, toxicity and tolerability evaluation, medication reconciliation, and medication adherence. In July of 2014, the RLRVAMC adopted a new chemotherapy order entry system capable of restricting prescriptions to hematology/oncology providers and limiting dispensed quantities and refill amounts. A comprehensive pharmacist driven OAN renewal clinic was implemented on September 1, 2014 with the goal of improving long-term adherence and tolerability, in addition to minimizing medication waste.

Study Design and Setting

This was a pre/post retrospective cohort, quality improvement study of patients enrolled in the RLRVAMC OAN pharmacist renewal clinic. The study was deemed exempt from institutional review board (IRB) by the US Department of Veterans Affairs (VA) Research and Development Department.

Study Population

Patients were included in the preimplementation group if they had received at least 2 prescriptions of an eligible OAN. Therapy for the preimplementation group was required to be a monthly duration > 21 days and between the dates of September 1, 2013 and August 31, 2014. Patients were included in the postimplementation group if they had received at least 2 prescriptions of the studied OANs between September 1, 2014 and January 31, 2015. Patients were excluded if they had filled < 2 prescriptions of OAN; were managed by a non-VA oncologist or hematologist; or received an OAN other than those listed in Table 1.

Data Collection

For all patients in both the pre- and postimplementation cohorts, a standardized data collection tool was used to collect the following via electronic health record review by a PGY2 oncology resident: age, race, gender, oral antineoplastic agent, refill dates, days’ supply, estimated unit cost per dose cancer diagnosis, distance from the RLRVAMC, copay status, presence of hospitalizations/ED visits/dosage reductions, discontinuation rates, reasons for discontinuation, and total number of current prescriptions. The presence or absence of dosage reductions were collected to identify concerns for tolerability, but only the original dose for the preimplementation group and dosage at time of clinic enrollment for the postimplementation group was included in the analysis.

Outcomes and Statistical Analyses

The primary outcome was medication adherence defined as the median medication possession ratio (MPR) before and after implementation of the clinic. Secondary outcomes included the proportion of patients who were adherent from before implementation to after implementation and estimated cost-savings of this clinic after implementation. MPR was used to estimate medication adherence by taking the cumulative day supply of medication on hand divided by the number of days on therapy.¹² Number of days on therapy was determined by taking the difference on the start date of the new medication regimen and the discontinuation date of the same regimen. Patients were grouped by adherence into one of the following categories: < 0.8, 0.8 to 0.89, 0.9 to 1, and > 1.1. Patients were considered adherent if they reported taking ≥ 90% (MPR ≥ 0.9) of prescribed doses, adopted from the study by Anderson and colleagues.¹² A patient with an MPR > 1, likely due to filling prior to the anticipated refill date, was considered 100% adherent (MPR = 1). If a patient switched OAN during the study, both agents were included as separate entities.

A conservative estimate of cost-savings was made by multiplying the RLRVAMC cost per unit of medication at time of initial prescription fill by the number of units taken each day multiplied by the total days’ supply on hand at time of therapy discontinuation. Patients with an MPR < 1 at time of therapy discontinuation were assumed to have zero remaining units on hand and zero cost savings was estimated. Waste, for purposes of cost-savings, was calculated for all MPR values > 1. Additional supply anticipated to be on hand from dose reductions was not included in the estimated cost of unused medication.

Descriptive statistics compared demographic characteristics between the pre- and postimplementation groups. MPR data were not normally distributed, which required the use of nonparametric Mann-Whitney U tests to compare pre- and postMPRs. Pearson χ² compared the proportion of adherent patients between groups while descriptive statistics were used to estimate cost savings. Significance was determined based on a P value < .05. IBM SPSS Statistics software was used for all statistical analyses. As this was a complete sample of all eligible subjects, no sample size calculation was performed.

Results

In the preimplementation period, 246 patients received an OAN and 61 patients received an OAN in the postimplementation period (Figure 1). Of the 246 patients in the preimplementation period, 98 were eligible and included in the preimplementation group. Similarly, of the 61 patients in the postimplementation period, 35 patients met inclusion criteria for the postimplementation group. The study population was predominantly male with an average age of approximately 70 years in both groups (Table 3). More than 70% of the population in each group was White. No statistically significant differences between groups were identified. The most commonly prescribed OAN in the preimplementation group were abiraterone, imatinib, and enzalutamide (Table 3). In the postimplementation group, the most commonly prescribed agents were abiraterone, imatinib, pazopanib, and dasatinib. No significant differences were observed in prescribing of individual agents between the pre- and postimplementation groups or other characteristics that may affect adherence including patient copay status, number of concomitant medications, and driving distance from the RLRVAMC.

Thirty-six (36.7%) patients in the preimplementation group were considered nonadherent (MPR < 0.9) and 18 (18.4%) had an MPR < 0.8. Fifteen (15.3%) patients in the preimplementation clinic were considered overadherent (MPR > 1.1). Forty-seven (47.9%) patients in the preimplementation group were considered adherent (MPR 0.9 - 1.1) while all 35 (100%) patients in the postimplementation group were considered adherent (MPR 0.9 - 1.1). No non- or overadherent patients were identified in the postimplementation group (Figure 2). The median MPR for all patients in the preimplementation group was 0.94 compared with 1.06 (P < .001) in the postimplementation group.

Discussion

OANs are widely used therapies, with more than 25 million doses administered per year in the United States alone.¹² The use of these agents will continue to grow as more targeted agents become available and patients request more convenient treatment options. The role for hematology/oncology clinical pharmacy services must adapt to this increased usage of OANs, including increasing pharmacist involvement in medication education, adherence and tolerability assessments, and proactive drug interaction monitoring.However, additional research is needed to determine optimal management strategies.

Our study aimed to compare OAN adherence among patients at a tertiary care VA hospital before and after implementation of a renewal clinic. The preimplementation population had a median MPR of 0.94 compared with 1.06 in the postimplementation group (P < .001). Although an ideal MPR is 1.0, we aimed for a slightly higher MPR to allow a supply buffer in the event of prescription delivery delays, as more than 90% of prescriptions are mailed to patients from a regional mail-order pharmacy. Importantly, the median MPRs do not adequately convey the impact from this clinic. The proportion of patients who were considered adherent to OANs increased from 47.9% in the preimplementation to 100% in the postimplementation period. These finding suggest that the clinical pharmacist role to assess and encourage adherence through monitoring tolerability of these OANs improved the overall medication taking experience of these patients.

Upon initial evaluation of adherence pre- and postimplementation, median adherence rates in both groups appeared to be above goal at 0.94 and 1.06 respectively. Patients in the postimplementation group intentionally received a 5- to 7-day supply buffer to account for potential prescription delivery delays due to holidays and inclement weather. This would indicate that the patients in the postimplementation group would have 15% oversupply due to the 5-day supply buffer. After correcting for patients with confounding reasons for excess (dose reductions, breaks in treatment, etc.), the median MPR in the prerefill clinic group decreased to 0.9 and the MPR in the postrefill clinic group increased slightly to 1.08. Although the median adherence rate in both the pre- and postimplementation groups were above goal of 0.90, 36% of the patients in the preimplementation group were considered nonadherent (MPR < 0.9) compared with no patients in the postimplementation group. Therefore, our intervention to improve patient adherence appeared to be beneficial at our institution.

In addition to improving adherence, one of the goals of the renewal clinic was to minimize excess supply at the time of therapy discontinuation. This was accomplished by aligning medication fills with medical visits and objective monitoring, as well as limiting supply to no more than 30 days. Of the patients in the postimplementation group, only 1 patient had remaining medication at the time of therapy discontinuation compared with 14 patients in the preimplementation group. The estimated cost savings from excess supply was $36,335. Limiting the amount of unused supply not only saves money for the patient and the institution, but also decreases opportunity for improper hazardous waste disposal and unnecessary exposure of hazardous materials to others.

Our results show the pharmacist intervention in the coordination of renewals improved adherence, minimized medication waste, and saved money. The cost of pharmacist time participating in the refill clinic was not calculated. Each visit was completed in approximately 5 minutes, with subsequent documentation and coordination taking an additional 5 to 10 minutes. During the launch of this service, the oncology pharmacy resident provided all coverage of the clinic. Oversite of the resident was provided by hematology/oncology clinical pharmacy specialists. We have continued to utilize pharmacy resident coverage since that time to meet education needs and keep the estimated cost per visit low. Another option in the case that pharmacy residents are not available would be utilization of a pharmacy technician, intern, or professional student to conduct the adherence and tolerability phone assessments. Our escalation protocol allows intervention by clinical pharmacy specialist and/or other health care providers when necessary. Trainees have only required basic training on how to use the protocol.

Limitations

Due to this study’s retrospective design, an inherent limitation is dependence on prescriber and refill records for documentation of initiation and discontinuation dates. Therefore, only the association of impact of pharmacist intervention on medication adherence can be determined as opposed to causation. We did not take into account discrepancies in day supply secondary to ‘held’ therapies, dose reductions, or doses supplied during an inpatient admission, which may alter estimates of MPR and cost-savings data. Patients in the postimplementation group intentionally received a 5 to 7-day supply buffer to account for potential prescription delivery delays due to holidays and inclement weather. This would indicate that the patients in the postimplementation group would have 15% oversupply due to the 5-day supply buffer, thereby skewing MPR values. This study did not account for cost avoidance resulting from early identification and management of toxicity. Finally, the postimplementation data only spans 4 months and a longer duration of time is needed to more accurately determine sustainability of renewal clinic interventions and provide comprehensive evaluation of cost-avoidance.

Conclusion

Implementation of an OAN renewal clinic was associated with an increase in MPR, improved proportion of patients considered adherent, and an estimated $36,335 cost-savings. However, prospective evaluation and a longer study duration are needed to determine causality of improved adherence and cost-savings associated with a pharmacist-driven OAN renewal clinic.

Evaluation of oral antineoplastic agent (OAN) adherence patterns have identified correlations between nonadherence or over-adherence and poorer disease-related outcomes. Multiple studies have focused on imatinib use in chronic myeloid leukemia (CML) due to its continuous, long-term use. A study by Ganesan and colleagues found that nonadherence to imatinib showed a significant decrease in 5-year event-free survival between 76.7% of adherent participants compared with 59.8% of nonadherent participants.¹ This study found that 44% of patients who were adherent to imatinib achieved complete cytogenetic response vs only 26% of patients who were nonadherent. In another study of imatinib for CML, major molecular response (MMR) was strongly correlated with adherence and no patients with adherence < 80% were able to achieve MMR.² Similarly, in studies of tamoxifen for breast cancer, < 80% adherence resulted in a 10% decrease in survival when compared to those who were more adherent.^3,4

In addition to the clinical implications of nonadherence, there can be a significant cost associated with suboptimal use of these medications. The price of a single dose of OAN medication may cost as much as $440.⁵

The benefits of multidisciplinary care teams have been identified in many studies.^6,7 While studies are limited in oncology, pharmacists provide vital contributions to the oncology multidisciplinary team when managing OANs as these health care professionals have expert knowledge of the medications, potential adverse events (AEs), and necessary monitoring parameters.⁸ In one study, patients seen by the pharmacist-led oral chemotherapy management program experienced improved clinical outcomes and response to therapy when compared with preintervention patients (early molecular response, 88.9% vs 54.8%, P = .01; major molecular response, 83.3% vs 57.6%, P = .06).⁹ During the study, 318 AEs were reported, leading to 235 pharmacist interventions to ameliorate AEs and improve adherence.

The primary objective of this study was to measure the impact of a pharmacist-driven OAN renewal clinic on medication adherence. The secondary objective was to estimate cost-savings of this new service.

Methods 

Prior to July 2014, several limitations were identified related to OAN prescribing and monitoring at the Richard L. Roudebush Veterans Affairs Medical Center in Indianapolis, Indiana (RLRVAMC). The prescription ordering process relied primarily on the patient to initiate refills, rather than the prescriber OAN prescriptions also lacked consistency for number of refills or quantities dispensed. Furthermore, ordering of antineoplastic products was not limited to hematology/oncology providers. Patients were identified with significant supply on hand at the time of medication discontinuation, creating concerns for medication waste, tolerability, and nonadherence.

As a result, opportunities were identified to improve the prescribing process, recommended monitoring, toxicity and tolerability evaluation, medication reconciliation, and medication adherence. In July of 2014, the RLRVAMC adopted a new chemotherapy order entry system capable of restricting prescriptions to hematology/oncology providers and limiting dispensed quantities and refill amounts. A comprehensive pharmacist driven OAN renewal clinic was implemented on September 1, 2014 with the goal of improving long-term adherence and tolerability, in addition to minimizing medication waste.

Study Design and Setting

This was a pre/post retrospective cohort, quality improvement study of patients enrolled in the RLRVAMC OAN pharmacist renewal clinic. The study was deemed exempt from institutional review board (IRB) by the US Department of Veterans Affairs (VA) Research and Development Department.

Study Population

Patients were included in the preimplementation group if they had received at least 2 prescriptions of an eligible OAN. Therapy for the preimplementation group was required to be a monthly duration > 21 days and between the dates of September 1, 2013 and August 31, 2014. Patients were included in the postimplementation group if they had received at least 2 prescriptions of the studied OANs between September 1, 2014 and January 31, 2015. Patients were excluded if they had filled < 2 prescriptions of OAN; were managed by a non-VA oncologist or hematologist; or received an OAN other than those listed in Table 1.

Data Collection

For all patients in both the pre- and postimplementation cohorts, a standardized data collection tool was used to collect the following via electronic health record review by a PGY2 oncology resident: age, race, gender, oral antineoplastic agent, refill dates, days’ supply, estimated unit cost per dose cancer diagnosis, distance from the RLRVAMC, copay status, presence of hospitalizations/ED visits/dosage reductions, discontinuation rates, reasons for discontinuation, and total number of current prescriptions. The presence or absence of dosage reductions were collected to identify concerns for tolerability, but only the original dose for the preimplementation group and dosage at time of clinic enrollment for the postimplementation group was included in the analysis.

Outcomes and Statistical Analyses

The primary outcome was medication adherence defined as the median medication possession ratio (MPR) before and after implementation of the clinic. Secondary outcomes included the proportion of patients who were adherent from before implementation to after implementation and estimated cost-savings of this clinic after implementation. MPR was used to estimate medication adherence by taking the cumulative day supply of medication on hand divided by the number of days on therapy.¹² Number of days on therapy was determined by taking the difference on the start date of the new medication regimen and the discontinuation date of the same regimen. Patients were grouped by adherence into one of the following categories: < 0.8, 0.8 to 0.89, 0.9 to 1, and > 1.1. Patients were considered adherent if they reported taking ≥ 90% (MPR ≥ 0.9) of prescribed doses, adopted from the study by Anderson and colleagues.¹² A patient with an MPR > 1, likely due to filling prior to the anticipated refill date, was considered 100% adherent (MPR = 1). If a patient switched OAN during the study, both agents were included as separate entities.

A conservative estimate of cost-savings was made by multiplying the RLRVAMC cost per unit of medication at time of initial prescription fill by the number of units taken each day multiplied by the total days’ supply on hand at time of therapy discontinuation. Patients with an MPR < 1 at time of therapy discontinuation were assumed to have zero remaining units on hand and zero cost savings was estimated. Waste, for purposes of cost-savings, was calculated for all MPR values > 1. Additional supply anticipated to be on hand from dose reductions was not included in the estimated cost of unused medication.

Descriptive statistics compared demographic characteristics between the pre- and postimplementation groups. MPR data were not normally distributed, which required the use of nonparametric Mann-Whitney U tests to compare pre- and postMPRs. Pearson χ² compared the proportion of adherent patients between groups while descriptive statistics were used to estimate cost savings. Significance was determined based on a P value < .05. IBM SPSS Statistics software was used for all statistical analyses. As this was a complete sample of all eligible subjects, no sample size calculation was performed.

Results

In the preimplementation period, 246 patients received an OAN and 61 patients received an OAN in the postimplementation period (Figure 1). Of the 246 patients in the preimplementation period, 98 were eligible and included in the preimplementation group. Similarly, of the 61 patients in the postimplementation period, 35 patients met inclusion criteria for the postimplementation group. The study population was predominantly male with an average age of approximately 70 years in both groups (Table 3). More than 70% of the population in each group was White. No statistically significant differences between groups were identified. The most commonly prescribed OAN in the preimplementation group were abiraterone, imatinib, and enzalutamide (Table 3). In the postimplementation group, the most commonly prescribed agents were abiraterone, imatinib, pazopanib, and dasatinib. No significant differences were observed in prescribing of individual agents between the pre- and postimplementation groups or other characteristics that may affect adherence including patient copay status, number of concomitant medications, and driving distance from the RLRVAMC.

Thirty-six (36.7%) patients in the preimplementation group were considered nonadherent (MPR < 0.9) and 18 (18.4%) had an MPR < 0.8. Fifteen (15.3%) patients in the preimplementation clinic were considered overadherent (MPR > 1.1). Forty-seven (47.9%) patients in the preimplementation group were considered adherent (MPR 0.9 - 1.1) while all 35 (100%) patients in the postimplementation group were considered adherent (MPR 0.9 - 1.1). No non- or overadherent patients were identified in the postimplementation group (Figure 2). The median MPR for all patients in the preimplementation group was 0.94 compared with 1.06 (P < .001) in the postimplementation group.

Discussion

OANs are widely used therapies, with more than 25 million doses administered per year in the United States alone.¹² The use of these agents will continue to grow as more targeted agents become available and patients request more convenient treatment options. The role for hematology/oncology clinical pharmacy services must adapt to this increased usage of OANs, including increasing pharmacist involvement in medication education, adherence and tolerability assessments, and proactive drug interaction monitoring.However, additional research is needed to determine optimal management strategies.

Our study aimed to compare OAN adherence among patients at a tertiary care VA hospital before and after implementation of a renewal clinic. The preimplementation population had a median MPR of 0.94 compared with 1.06 in the postimplementation group (P < .001). Although an ideal MPR is 1.0, we aimed for a slightly higher MPR to allow a supply buffer in the event of prescription delivery delays, as more than 90% of prescriptions are mailed to patients from a regional mail-order pharmacy. Importantly, the median MPRs do not adequately convey the impact from this clinic. The proportion of patients who were considered adherent to OANs increased from 47.9% in the preimplementation to 100% in the postimplementation period. These finding suggest that the clinical pharmacist role to assess and encourage adherence through monitoring tolerability of these OANs improved the overall medication taking experience of these patients.

Upon initial evaluation of adherence pre- and postimplementation, median adherence rates in both groups appeared to be above goal at 0.94 and 1.06 respectively. Patients in the postimplementation group intentionally received a 5- to 7-day supply buffer to account for potential prescription delivery delays due to holidays and inclement weather. This would indicate that the patients in the postimplementation group would have 15% oversupply due to the 5-day supply buffer. After correcting for patients with confounding reasons for excess (dose reductions, breaks in treatment, etc.), the median MPR in the prerefill clinic group decreased to 0.9 and the MPR in the postrefill clinic group increased slightly to 1.08. Although the median adherence rate in both the pre- and postimplementation groups were above goal of 0.90, 36% of the patients in the preimplementation group were considered nonadherent (MPR < 0.9) compared with no patients in the postimplementation group. Therefore, our intervention to improve patient adherence appeared to be beneficial at our institution.

In addition to improving adherence, one of the goals of the renewal clinic was to minimize excess supply at the time of therapy discontinuation. This was accomplished by aligning medication fills with medical visits and objective monitoring, as well as limiting supply to no more than 30 days. Of the patients in the postimplementation group, only 1 patient had remaining medication at the time of therapy discontinuation compared with 14 patients in the preimplementation group. The estimated cost savings from excess supply was $36,335. Limiting the amount of unused supply not only saves money for the patient and the institution, but also decreases opportunity for improper hazardous waste disposal and unnecessary exposure of hazardous materials to others.

Our results show the pharmacist intervention in the coordination of renewals improved adherence, minimized medication waste, and saved money. The cost of pharmacist time participating in the refill clinic was not calculated. Each visit was completed in approximately 5 minutes, with subsequent documentation and coordination taking an additional 5 to 10 minutes. During the launch of this service, the oncology pharmacy resident provided all coverage of the clinic. Oversite of the resident was provided by hematology/oncology clinical pharmacy specialists. We have continued to utilize pharmacy resident coverage since that time to meet education needs and keep the estimated cost per visit low. Another option in the case that pharmacy residents are not available would be utilization of a pharmacy technician, intern, or professional student to conduct the adherence and tolerability phone assessments. Our escalation protocol allows intervention by clinical pharmacy specialist and/or other health care providers when necessary. Trainees have only required basic training on how to use the protocol.

Limitations

Due to this study’s retrospective design, an inherent limitation is dependence on prescriber and refill records for documentation of initiation and discontinuation dates. Therefore, only the association of impact of pharmacist intervention on medication adherence can be determined as opposed to causation. We did not take into account discrepancies in day supply secondary to ‘held’ therapies, dose reductions, or doses supplied during an inpatient admission, which may alter estimates of MPR and cost-savings data. Patients in the postimplementation group intentionally received a 5 to 7-day supply buffer to account for potential prescription delivery delays due to holidays and inclement weather. This would indicate that the patients in the postimplementation group would have 15% oversupply due to the 5-day supply buffer, thereby skewing MPR values. This study did not account for cost avoidance resulting from early identification and management of toxicity. Finally, the postimplementation data only spans 4 months and a longer duration of time is needed to more accurately determine sustainability of renewal clinic interventions and provide comprehensive evaluation of cost-avoidance.

Conclusion

Implementation of an OAN renewal clinic was associated with an increase in MPR, improved proportion of patients considered adherent, and an estimated $36,335 cost-savings. However, prospective evaluation and a longer study duration are needed to determine causality of improved adherence and cost-savings associated with a pharmacist-driven OAN renewal clinic.

Evaluation of oral antineoplastic agent (OAN) adherence patterns have identified correlations between nonadherence or over-adherence and poorer disease-related outcomes. Multiple studies have focused on imatinib use in chronic myeloid leukemia (CML) due to its continuous, long-term use. A study by Ganesan and colleagues found that nonadherence to imatinib showed a significant decrease in 5-year event-free survival between 76.7% of adherent participants compared with 59.8% of nonadherent participants.¹ This study found that 44% of patients who were adherent to imatinib achieved complete cytogenetic response vs only 26% of patients who were nonadherent. In another study of imatinib for CML, major molecular response (MMR) was strongly correlated with adherence and no patients with adherence < 80% were able to achieve MMR.² Similarly, in studies of tamoxifen for breast cancer, < 80% adherence resulted in a 10% decrease in survival when compared to those who were more adherent.^3,4

In addition to the clinical implications of nonadherence, there can be a significant cost associated with suboptimal use of these medications. The price of a single dose of OAN medication may cost as much as $440.⁵

The benefits of multidisciplinary care teams have been identified in many studies.^6,7 While studies are limited in oncology, pharmacists provide vital contributions to the oncology multidisciplinary team when managing OANs as these health care professionals have expert knowledge of the medications, potential adverse events (AEs), and necessary monitoring parameters.⁸ In one study, patients seen by the pharmacist-led oral chemotherapy management program experienced improved clinical outcomes and response to therapy when compared with preintervention patients (early molecular response, 88.9% vs 54.8%, P = .01; major molecular response, 83.3% vs 57.6%, P = .06).⁹ During the study, 318 AEs were reported, leading to 235 pharmacist interventions to ameliorate AEs and improve adherence.

The primary objective of this study was to measure the impact of a pharmacist-driven OAN renewal clinic on medication adherence. The secondary objective was to estimate cost-savings of this new service.

Methods 

Prior to July 2014, several limitations were identified related to OAN prescribing and monitoring at the Richard L. Roudebush Veterans Affairs Medical Center in Indianapolis, Indiana (RLRVAMC). The prescription ordering process relied primarily on the patient to initiate refills, rather than the prescriber OAN prescriptions also lacked consistency for number of refills or quantities dispensed. Furthermore, ordering of antineoplastic products was not limited to hematology/oncology providers. Patients were identified with significant supply on hand at the time of medication discontinuation, creating concerns for medication waste, tolerability, and nonadherence.

As a result, opportunities were identified to improve the prescribing process, recommended monitoring, toxicity and tolerability evaluation, medication reconciliation, and medication adherence. In July of 2014, the RLRVAMC adopted a new chemotherapy order entry system capable of restricting prescriptions to hematology/oncology providers and limiting dispensed quantities and refill amounts. A comprehensive pharmacist driven OAN renewal clinic was implemented on September 1, 2014 with the goal of improving long-term adherence and tolerability, in addition to minimizing medication waste.

Study Design and Setting

This was a pre/post retrospective cohort, quality improvement study of patients enrolled in the RLRVAMC OAN pharmacist renewal clinic. The study was deemed exempt from institutional review board (IRB) by the US Department of Veterans Affairs (VA) Research and Development Department.

Study Population

Patients were included in the preimplementation group if they had received at least 2 prescriptions of an eligible OAN. Therapy for the preimplementation group was required to be a monthly duration > 21 days and between the dates of September 1, 2013 and August 31, 2014. Patients were included in the postimplementation group if they had received at least 2 prescriptions of the studied OANs between September 1, 2014 and January 31, 2015. Patients were excluded if they had filled < 2 prescriptions of OAN; were managed by a non-VA oncologist or hematologist; or received an OAN other than those listed in Table 1.

Data Collection

For all patients in both the pre- and postimplementation cohorts, a standardized data collection tool was used to collect the following via electronic health record review by a PGY2 oncology resident: age, race, gender, oral antineoplastic agent, refill dates, days’ supply, estimated unit cost per dose cancer diagnosis, distance from the RLRVAMC, copay status, presence of hospitalizations/ED visits/dosage reductions, discontinuation rates, reasons for discontinuation, and total number of current prescriptions. The presence or absence of dosage reductions were collected to identify concerns for tolerability, but only the original dose for the preimplementation group and dosage at time of clinic enrollment for the postimplementation group was included in the analysis.

Outcomes and Statistical Analyses

The primary outcome was medication adherence defined as the median medication possession ratio (MPR) before and after implementation of the clinic. Secondary outcomes included the proportion of patients who were adherent from before implementation to after implementation and estimated cost-savings of this clinic after implementation. MPR was used to estimate medication adherence by taking the cumulative day supply of medication on hand divided by the number of days on therapy.¹² Number of days on therapy was determined by taking the difference on the start date of the new medication regimen and the discontinuation date of the same regimen. Patients were grouped by adherence into one of the following categories: < 0.8, 0.8 to 0.89, 0.9 to 1, and > 1.1. Patients were considered adherent if they reported taking ≥ 90% (MPR ≥ 0.9) of prescribed doses, adopted from the study by Anderson and colleagues.¹² A patient with an MPR > 1, likely due to filling prior to the anticipated refill date, was considered 100% adherent (MPR = 1). If a patient switched OAN during the study, both agents were included as separate entities.

A conservative estimate of cost-savings was made by multiplying the RLRVAMC cost per unit of medication at time of initial prescription fill by the number of units taken each day multiplied by the total days’ supply on hand at time of therapy discontinuation. Patients with an MPR < 1 at time of therapy discontinuation were assumed to have zero remaining units on hand and zero cost savings was estimated. Waste, for purposes of cost-savings, was calculated for all MPR values > 1. Additional supply anticipated to be on hand from dose reductions was not included in the estimated cost of unused medication.

Descriptive statistics compared demographic characteristics between the pre- and postimplementation groups. MPR data were not normally distributed, which required the use of nonparametric Mann-Whitney U tests to compare pre- and postMPRs. Pearson χ² compared the proportion of adherent patients between groups while descriptive statistics were used to estimate cost savings. Significance was determined based on a P value < .05. IBM SPSS Statistics software was used for all statistical analyses. As this was a complete sample of all eligible subjects, no sample size calculation was performed.

Results

In the preimplementation period, 246 patients received an OAN and 61 patients received an OAN in the postimplementation period (Figure 1). Of the 246 patients in the preimplementation period, 98 were eligible and included in the preimplementation group. Similarly, of the 61 patients in the postimplementation period, 35 patients met inclusion criteria for the postimplementation group. The study population was predominantly male with an average age of approximately 70 years in both groups (Table 3). More than 70% of the population in each group was White. No statistically significant differences between groups were identified. The most commonly prescribed OAN in the preimplementation group were abiraterone, imatinib, and enzalutamide (Table 3). In the postimplementation group, the most commonly prescribed agents were abiraterone, imatinib, pazopanib, and dasatinib. No significant differences were observed in prescribing of individual agents between the pre- and postimplementation groups or other characteristics that may affect adherence including patient copay status, number of concomitant medications, and driving distance from the RLRVAMC.

Thirty-six (36.7%) patients in the preimplementation group were considered nonadherent (MPR < 0.9) and 18 (18.4%) had an MPR < 0.8. Fifteen (15.3%) patients in the preimplementation clinic were considered overadherent (MPR > 1.1). Forty-seven (47.9%) patients in the preimplementation group were considered adherent (MPR 0.9 - 1.1) while all 35 (100%) patients in the postimplementation group were considered adherent (MPR 0.9 - 1.1). No non- or overadherent patients were identified in the postimplementation group (Figure 2). The median MPR for all patients in the preimplementation group was 0.94 compared with 1.06 (P < .001) in the postimplementation group.

Discussion

OANs are widely used therapies, with more than 25 million doses administered per year in the United States alone.¹² The use of these agents will continue to grow as more targeted agents become available and patients request more convenient treatment options. The role for hematology/oncology clinical pharmacy services must adapt to this increased usage of OANs, including increasing pharmacist involvement in medication education, adherence and tolerability assessments, and proactive drug interaction monitoring.However, additional research is needed to determine optimal management strategies.

Our study aimed to compare OAN adherence among patients at a tertiary care VA hospital before and after implementation of a renewal clinic. The preimplementation population had a median MPR of 0.94 compared with 1.06 in the postimplementation group (P < .001). Although an ideal MPR is 1.0, we aimed for a slightly higher MPR to allow a supply buffer in the event of prescription delivery delays, as more than 90% of prescriptions are mailed to patients from a regional mail-order pharmacy. Importantly, the median MPRs do not adequately convey the impact from this clinic. The proportion of patients who were considered adherent to OANs increased from 47.9% in the preimplementation to 100% in the postimplementation period. These finding suggest that the clinical pharmacist role to assess and encourage adherence through monitoring tolerability of these OANs improved the overall medication taking experience of these patients.

Upon initial evaluation of adherence pre- and postimplementation, median adherence rates in both groups appeared to be above goal at 0.94 and 1.06 respectively. Patients in the postimplementation group intentionally received a 5- to 7-day supply buffer to account for potential prescription delivery delays due to holidays and inclement weather. This would indicate that the patients in the postimplementation group would have 15% oversupply due to the 5-day supply buffer. After correcting for patients with confounding reasons for excess (dose reductions, breaks in treatment, etc.), the median MPR in the prerefill clinic group decreased to 0.9 and the MPR in the postrefill clinic group increased slightly to 1.08. Although the median adherence rate in both the pre- and postimplementation groups were above goal of 0.90, 36% of the patients in the preimplementation group were considered nonadherent (MPR < 0.9) compared with no patients in the postimplementation group. Therefore, our intervention to improve patient adherence appeared to be beneficial at our institution.

In addition to improving adherence, one of the goals of the renewal clinic was to minimize excess supply at the time of therapy discontinuation. This was accomplished by aligning medication fills with medical visits and objective monitoring, as well as limiting supply to no more than 30 days. Of the patients in the postimplementation group, only 1 patient had remaining medication at the time of therapy discontinuation compared with 14 patients in the preimplementation group. The estimated cost savings from excess supply was $36,335. Limiting the amount of unused supply not only saves money for the patient and the institution, but also decreases opportunity for improper hazardous waste disposal and unnecessary exposure of hazardous materials to others.

Our results show the pharmacist intervention in the coordination of renewals improved adherence, minimized medication waste, and saved money. The cost of pharmacist time participating in the refill clinic was not calculated. Each visit was completed in approximately 5 minutes, with subsequent documentation and coordination taking an additional 5 to 10 minutes. During the launch of this service, the oncology pharmacy resident provided all coverage of the clinic. Oversite of the resident was provided by hematology/oncology clinical pharmacy specialists. We have continued to utilize pharmacy resident coverage since that time to meet education needs and keep the estimated cost per visit low. Another option in the case that pharmacy residents are not available would be utilization of a pharmacy technician, intern, or professional student to conduct the adherence and tolerability phone assessments. Our escalation protocol allows intervention by clinical pharmacy specialist and/or other health care providers when necessary. Trainees have only required basic training on how to use the protocol.

Limitations

Due to this study’s retrospective design, an inherent limitation is dependence on prescriber and refill records for documentation of initiation and discontinuation dates. Therefore, only the association of impact of pharmacist intervention on medication adherence can be determined as opposed to causation. We did not take into account discrepancies in day supply secondary to ‘held’ therapies, dose reductions, or doses supplied during an inpatient admission, which may alter estimates of MPR and cost-savings data. Patients in the postimplementation group intentionally received a 5 to 7-day supply buffer to account for potential prescription delivery delays due to holidays and inclement weather. This would indicate that the patients in the postimplementation group would have 15% oversupply due to the 5-day supply buffer, thereby skewing MPR values. This study did not account for cost avoidance resulting from early identification and management of toxicity. Finally, the postimplementation data only spans 4 months and a longer duration of time is needed to more accurately determine sustainability of renewal clinic interventions and provide comprehensive evaluation of cost-avoidance.

Conclusion

Implementation of an OAN renewal clinic was associated with an increase in MPR, improved proportion of patients considered adherent, and an estimated $36,335 cost-savings. However, prospective evaluation and a longer study duration are needed to determine causality of improved adherence and cost-savings associated with a pharmacist-driven OAN renewal clinic.

Age is a well recognized risk factor for cancer development. The population of older Americans is growing, and by 2030, 20% of the US population will be aged ≥ 65 years.¹ While 25% of all new cancer cases are diagnosed in people aged 65 to 74 years, more than half of cancers occur in individuals aged ≥ 70 years, with even higher rates in those aged ≥ 75 years.² Although cancer rates have declined slightly overall among people aged ≥ 65 years, this population still has an 11-fold increased incidence of cancer compared with that of younger individuals.³ With a rapidly growing older population, there will be increasing demand for cancer care.

Treatment of cancer in older individuals often is complicated by medical comorbidities, frailty, and poor functional status. Distinguishing patients who can tolerate aggressive therapy from those who require less intensive therapy can be challenging. Age-related physiologic changes predispose older adults to an increased risk of therapy-related toxicities, resulting in suboptimal therapeutic benefit and substantial morbidity. For example, cardiovascular changes can lead to reduction of the cardiac functional reserve, which can increase the risk of congestive heart failure. Similarly, decline in renal function leads to an increased potential for nephrotoxicity.⁴ Although patients may be of the same chronologic age, their performance, functional, and biologic status may be quite variable; thus, tolerance to aggressive treatment is not easily predicted. The comprehensive geriatric assessment (CGA) may be used as a global assessment tool to risk stratify older patients prior to oncologic treatment decisions.⁵

Health care providers (HCPs), including physician assistants, nurse practitioners, clinical nurse specialists, nurses, and physicians, routinely participate in every aspect of cancer care by ordering and interpreting diagnostic tests, addressing comorbidities, managing symptoms, and discussing cancer treatment recommendations. HCPs in oncology will continue to play a vital role in the coordination and management of older patients with cancer. However, in general, CGA has not been a consistent part of oncology practices, and few HCPs are familiar with the benefits of CGA screening tools.

What Is Geriatric Assessment? 

Geriatric assessment is a multidisciplinary, multidimensional process aimed at detecting medical, psychosocial, and functional issues of older adults that are not identified by traditional performance status measures alone. It provides guidance for management of identified problems and improvement in quality of life.⁶ CGA was developed by geriatricians and multidisciplinary care teams to evaluate the domains of functional, nutritional, cognitive, psychosocial, and economic status; comorbidities; geriatric syndromes; and mood, and it has been tested in both clinics and hospitals.⁷ Although such assessment requires additional time and resources, its goals are to identify areas of vulnerability, assist in clinical decisions of treatable health problems, and guide therapeutic interventions.⁶ In oncology practice, the assessment not only addresses these global issues, but also is critical in predicting toxicity and survival outcomes in older oncology patients.

Components of CGA 

Advancing age brings many physiologic, psychosocial, and functional challenges, and a cancer diagnosis only adds to these issues. CGA provides a system of assessing older and/or frail patients with cancer through specific domains to identify issues that are not apparent on routine evaluation in a clinic setting before and during chemotherapy treatments. These domains include comorbidity, polypharmacy, functional status, cognition, psychological and social status, and nutrition.⁸

Comorbidity

The prevalence of multiple medical problems and comorbidities, including cancer, among people aged > 65 years is increasing.⁹ Studies have shown that two-thirds of patients with cancer had ≥ 2 medical conditions, and nearly one quarter had ≥ 4 medical conditions.¹⁰ In older adults, common comorbidities include cardiovascular disease, hypertension, diabetes mellitus, and dementia. These comorbidities can impact treatment decisions, increase the risk of disease, impact treatment-related complications, and affect a patient’s life expectancy.¹¹ Assessing comorbidities is essential to CGA and is done using the Charlson Comorbidity Index and/or the Cumulative Illness Rating Scale.¹²

The Charlson Comorbidity Index was originally designed to predict 1-year mortality on the basis of a weighted composite score for the following categories: cardiovascular, endocrine, pulmonary, neurologic, renal, hepatic, gastrointestinal, and neoplastic disease.¹³ It is now the most widely used comorbidity index and has been adapted and verified as applicable and valid for predicting the outcomes and risk of death from many comorbid diseases.¹⁴ The Cumulative Illness Rating Scale has been validated as a predictor for readmission for hospitalized older adults, hospitalization within 1 year in a residential setting, and long-term mortality when assessed in inpatient and residential settings.¹⁵

Polypharmacy

Polypharmacy (use of ≥ 5 medications) is common in older patients regardless of cancer diagnosis and is often instead defined as “the use of multiple drugs or more than are medically necessary.”¹⁶ The use of multiple medications, including those not indicated for existing medical conditions (such as over‐the‐counter, herbal, and complementary/alternative medicines, which patients often fail to declare to their specialist, doctor, or pharmacist) adds to the potential negative aspects of polypharmacy that affect older patients.¹⁷

Patients with cancer usually are prescribed an extensive number of medicines, both for the disease and for supportive care, which can increase the chance of drug-drug interactions and adverse reactions.¹⁸ While these issues certainly affect quality of life, they also may influence chemotherapy treatment and potentially impact survival. Studies have shown that the presence of polypharmacy has been associated with higher numbers of comorbidities, increased use of inappropriate medications, poor performance status, decline in functional status, and poor survival.¹⁸

Functional Status

Although Eastern Cooperative Oncology Group (ECOG) performance status and Karnofsky Performance Status are commonly used by oncologists, these guidelines are limited in focus and do not reliably measure functional status in older patients. Functional status is determined by the ability to perform daily acts of self-care, which includes assessment of activities of daily living (ADLs) and instrumental activities of daily living (IADLs). ADLs refer to such tasks as bathing, dressing, eating, mobility, balance, and toileting.¹⁹ IADLs include the ability to perform activities required to live within a community and include shopping, transportation, managing finances, medication management, cooking, and cleaning.¹¹

Physical functionality also can be assessed by measures such as gait speed, grip strength, balance, and lower extremity strength. These are more sensitive and shown to be associated with worse clinical outcomes.²⁰ Grip strength and gait speed, as assessed by the Timed Up and Go test or the Short Physical Performance Battery measure strength and balance.¹² Reduction in gait speed and/or grip strength are associated with adverse clinical outcomes and increased risk of mortality.²¹ Patients with cancer who have difficulty with ADLs are at increased risk for falls, which can limit their functional independence, compromise cancer therapy, and increase the risk of chemotherapy toxicities.¹¹ Impaired hearing and poor vision are added factors that can be barriers to cancer treatment.

Cognition

Cognitive impairment in patients with cancer is becoming more of an issue for oncology HCPs as both cancer and cognitive decline are more common with advancing age. Cognition in cancer patients is important for understanding their diagnosis, prognosis, treatment options, and adherence. Impaired cognition can affect decision making regarding treatment options and administration. Cognition can be assessed through validated screening tools such as the Mini-Mental State Examination and Mini-Cog.¹¹

Psychological and Social Status

A cancer diagnosis has a major impact on the mental and emotional state of patients and family members. Clinically significant anxiety has been reported in approximately 21% of older patients with cancer, and the incidence of depression ranges from 17 to 26%.²² In older patients with, psychologic distress can impact cancer treatment, resulting in less definitive therapy and poorer outcomes.²³ All patients with cancer should be screened for psychologic distress using standardized methods, such as the Geriatric Depression Scale or the General Anxiety Disorder-7 scale.²⁴ A positive screen should lead to additional assessments that evaluate the severity of depression and other comorbid psychological problems and medical conditions.

Social isolation and loneliness are factors that can affect both depression and anxiety. Older patients with cancer are at risk for decreased social activities and are already challenged with issues related to home care, comorbidities, functional status, and caregiver support.²³ Therefore, it is important to assess the social interactions of an older and/or frail patient with cancer and use social work assistance to address needs for supportive services.

Nutrition

Nutrition is important in any patient with cancer undergoing chemotherapy treatment. However, it is of greater importance in older adults, as malnutrition and weight loss are negative prognostic factors that correlate with poor tolerance to chemotherapy treatment, decline in quality of life, and increased mortality.²⁵ The Mini-Nutritional Assessment is a widely used validated tool to assess nutritional status and risk of malnutrition.¹¹ This tool can help identify those older and/or frail patients with cancer with impaired nutritional status and aid in instituting corrective measures to treat or prevent malnutrition.

Effectiveness of CGA

Multiple randomized controlled clinical trials assessing the effectiveness of CGA have been conducted over the past 3 decades with overall positive outcomes related to its value.²⁶ Benefits of CGA can include overall improved medical care, avoidance of hospitalization or nursing home placement, identification of cognitive impairment, and prevention of geriatric syndrome (a range of conditions representing multiple organ impairment in older adults).²⁷

In oncology, CGA is particularly beneficial, as it can identify issues in nearly 70% of patients that may not be apparent through traditional oncology assessment.²⁸ A systematic review of 36 studies assessing the prognostic value of CGA in elderly patients with cancer receiving chemotherapy concluded that impaired performance and functional status as well as a frail and vulnerable profile are important predictors of severe chemotherapy-related toxicity and are associated with a higher risk of mortality.²⁹ Therefore, CGA should be an integral part of the evaluation of older and/or frail patients with cancer prior to chemotherapy consideration.

Several screening tools have been developed using information from CGA to assess the risk of severe toxicities. The most commonly used tools for predicting toxicity include the Cancer and Aging Research Group (CARG) chemotoxicity calculator and the Chemotherapy Risk Assessment Scale for High-Age Patients (CRASH).^30,31 Although these tools are readily available to facilitate CGA, and despite their proven beneficial outcome and recommended usage by national guidelines, implementation of these tools in routine oncology practice has been challenging and slow to spread. Unless these recommended interventions are effectively implemented, the benefits of CGA cannot be realized. With the expected surge in the number of older patients with cancer, hopefully this will change.

Geriatric Assessment Screening Tools

A screening tool recommended for use in older and/or frail patients with cancer allows for a brief assessment to help clinicians identify patients in need of further evaluation by CGA and to provides information on treatment-related toxicities, functional decline, and survival.³² The predictive value and utility of geriatric assessment screening tools have been repeatedly proven to identify older and/or frail adults at risk for treatment-related toxicities.¹² The CARG and the CRASH are validated screening tools used in identifying patients at higher risk for chemotherapy toxicity. These screening tools are intended to provide guidance to the clinical oncology practitioner on risk stratification of chemotherapy toxicity in older patients with cancer.³³

Both of these screening tools provide similar predictive performance for chemotherapy toxicity in older patients with cancer.³⁴ However, the CARG tool seems to have the advantage of using more data that had already been obtained during regular office visits and is clear and easy to use clinically. The CRASH tool is slightly more involved, as it uses multiple geriatric instruments to determine the predictive risk of both hematologic and nonhematologic toxicities of chemotherapy.

CARG Chemotoxicity Calculator

Hurria and colleagues originally developed the CARG tool from data obtained through a prospective multicenter study involving 500 patients with cancer aged ≥ 65 years.³⁵ They concluded that chemotherapy-related toxicity is common in older adults, with 53% of patients sustaining grade 3 or 4 treatment-related toxicities and 2% treatment-related mortality.¹² This predictive model for chemotherapy-related toxicity used 11 variables, both objective (obtained during a regular clinical encounter: age, tumor type, chemotherapy dosing, number of drugs, creatinine, and hemoglobin) and subjective (completed by patient: number of falls, social support, the ability to take medications, hearing impairment, and physical performance), to determine at-risk patients (Table 1).³¹

Compared with standard performance status measures in oncology practice, the CARG model was better able to predict chemotherapy-related toxicities. In 2016, Hurria and colleagues published the results of an updated external validation study with a cohort of 250 older patients with cancer receiving chemotherapy that confirmed the prediction of chemotherapy toxicity using the CARG screening tool in this population.³¹ An appealing feature of this tool is the free online accessibility and the expedited manner in which screening can be conducted.

CRASH Score

The CRASH score was derived from the results of a prospective, multicenter study of 518 patients aged ≥ 70 years who were assessed on 24 parameters prior to starting chemotherapy.³⁰ A total of 64% of patients experienced significant toxicities, including 32% with grade 4 hematologic toxicity and 56% with grade 3 or 4 nonhematologic toxicity. The hematologic and nonhematologic toxicity risks are the 2 categories that comprise the CRASH score. Both baseline patient variables and chemotherapy regimen are incorporated into an 8-item assessment profile that determines the risk categories (Table 2).³⁰

Increased risk of hematologic toxicities was associated with increased diastolic blood pressure, increased lactate dehydrogenase, need for assistance with IADL, and increased toxicity potential of the chemotherapy regimen. Nonhematologic toxicities were associated with ECOG performance score, Mini Mental Status Examination and Mini-Nutritional Assessment, and increased toxicity of the chemotherapy regimen.¹² Patient scores are stratified into 4 risk categories: low, medium-low, medium-high, and high.³⁰ Like the CARG tool, the CRASH screening tool also is available as a free online resource and can be used in everyday clinical practice to assess older and/or frail adults with cancer.

Conclusions 

In older adults, cancer may significantly impact the natural course of concurrent comorbidities due to physiologic and functional changes. These vulnerabilities predispose older patients with cancer to an increased risk of adverse outcomes, including treatment-related toxicities.³⁶ Given the rapidly aging population, it is critical for oncology clinical teams to be prepared to assess for, prevent, and manage issues for older adults that could impact outcomes, including complications and toxicities from chemotherapy.³⁵ Studies have reported that 78 to 93% of older oncology patients have at least 1 geriatric impairment that could potentially impact oncology treatment plans.^37,38 This supports the utility of CGA as a global assessment tool to risk stratify older and/or frail patients prior to deciding on subsequent oncologic treatment approaches.⁵ In fact, major cooperative groups sponsored by the National Cancer Institute, such as the Alliance for Clinical Trials in Oncology, are including CGA as part of some of their treatment trials. CGA was conducted as part of a multicenter cooperative group study in older patients with acute myeloid leukemia prior to inpatient intensive induction chemotherapy and was determined to be feasible and useful in clinical trials and practice.³⁹

Despite the increasing evidence for benefits of CGA, it has not been a consistent part of oncology practices, and few HCPs are familiar with the benefits of CGA screening tools. Although oncology providers routinely participate in every aspect of cancer care and play a vital role in the coordination and management of older patients with cancer, CGA implementation into routine clinical practice has been slow in part due to lack of knowledge and training regarding the use of GA tools.

Oncology providers can easily incorporate CGA screening tools into the history and physical examination process for older patients with cancer, which will add an important dimension to these patient evaluations. Oncology providers are not only well positioned to administer these screening tools, but also can lead the field in developing innovative ways for effective implementation in busy routine oncology clinics. However, to be successful, oncology providers must be knowledgeable about these tools and understand their utility in guiding treatment decisions and improving quality of care in older patients with cancer.

Age is a well recognized risk factor for cancer development. The population of older Americans is growing, and by 2030, 20% of the US population will be aged ≥ 65 years.¹ While 25% of all new cancer cases are diagnosed in people aged 65 to 74 years, more than half of cancers occur in individuals aged ≥ 70 years, with even higher rates in those aged ≥ 75 years.² Although cancer rates have declined slightly overall among people aged ≥ 65 years, this population still has an 11-fold increased incidence of cancer compared with that of younger individuals.³ With a rapidly growing older population, there will be increasing demand for cancer care.

Treatment of cancer in older individuals often is complicated by medical comorbidities, frailty, and poor functional status. Distinguishing patients who can tolerate aggressive therapy from those who require less intensive therapy can be challenging. Age-related physiologic changes predispose older adults to an increased risk of therapy-related toxicities, resulting in suboptimal therapeutic benefit and substantial morbidity. For example, cardiovascular changes can lead to reduction of the cardiac functional reserve, which can increase the risk of congestive heart failure. Similarly, decline in renal function leads to an increased potential for nephrotoxicity.⁴ Although patients may be of the same chronologic age, their performance, functional, and biologic status may be quite variable; thus, tolerance to aggressive treatment is not easily predicted. The comprehensive geriatric assessment (CGA) may be used as a global assessment tool to risk stratify older patients prior to oncologic treatment decisions.⁵

Health care providers (HCPs), including physician assistants, nurse practitioners, clinical nurse specialists, nurses, and physicians, routinely participate in every aspect of cancer care by ordering and interpreting diagnostic tests, addressing comorbidities, managing symptoms, and discussing cancer treatment recommendations. HCPs in oncology will continue to play a vital role in the coordination and management of older patients with cancer. However, in general, CGA has not been a consistent part of oncology practices, and few HCPs are familiar with the benefits of CGA screening tools.

What Is Geriatric Assessment? 

Geriatric assessment is a multidisciplinary, multidimensional process aimed at detecting medical, psychosocial, and functional issues of older adults that are not identified by traditional performance status measures alone. It provides guidance for management of identified problems and improvement in quality of life.⁶ CGA was developed by geriatricians and multidisciplinary care teams to evaluate the domains of functional, nutritional, cognitive, psychosocial, and economic status; comorbidities; geriatric syndromes; and mood, and it has been tested in both clinics and hospitals.⁷ Although such assessment requires additional time and resources, its goals are to identify areas of vulnerability, assist in clinical decisions of treatable health problems, and guide therapeutic interventions.⁶ In oncology practice, the assessment not only addresses these global issues, but also is critical in predicting toxicity and survival outcomes in older oncology patients.

Components of CGA 

Advancing age brings many physiologic, psychosocial, and functional challenges, and a cancer diagnosis only adds to these issues. CGA provides a system of assessing older and/or frail patients with cancer through specific domains to identify issues that are not apparent on routine evaluation in a clinic setting before and during chemotherapy treatments. These domains include comorbidity, polypharmacy, functional status, cognition, psychological and social status, and nutrition.⁸

Comorbidity

The prevalence of multiple medical problems and comorbidities, including cancer, among people aged > 65 years is increasing.⁹ Studies have shown that two-thirds of patients with cancer had ≥ 2 medical conditions, and nearly one quarter had ≥ 4 medical conditions.¹⁰ In older adults, common comorbidities include cardiovascular disease, hypertension, diabetes mellitus, and dementia. These comorbidities can impact treatment decisions, increase the risk of disease, impact treatment-related complications, and affect a patient’s life expectancy.¹¹ Assessing comorbidities is essential to CGA and is done using the Charlson Comorbidity Index and/or the Cumulative Illness Rating Scale.¹²

The Charlson Comorbidity Index was originally designed to predict 1-year mortality on the basis of a weighted composite score for the following categories: cardiovascular, endocrine, pulmonary, neurologic, renal, hepatic, gastrointestinal, and neoplastic disease.¹³ It is now the most widely used comorbidity index and has been adapted and verified as applicable and valid for predicting the outcomes and risk of death from many comorbid diseases.¹⁴ The Cumulative Illness Rating Scale has been validated as a predictor for readmission for hospitalized older adults, hospitalization within 1 year in a residential setting, and long-term mortality when assessed in inpatient and residential settings.¹⁵

Polypharmacy

Polypharmacy (use of ≥ 5 medications) is common in older patients regardless of cancer diagnosis and is often instead defined as “the use of multiple drugs or more than are medically necessary.”¹⁶ The use of multiple medications, including those not indicated for existing medical conditions (such as over‐the‐counter, herbal, and complementary/alternative medicines, which patients often fail to declare to their specialist, doctor, or pharmacist) adds to the potential negative aspects of polypharmacy that affect older patients.¹⁷

Patients with cancer usually are prescribed an extensive number of medicines, both for the disease and for supportive care, which can increase the chance of drug-drug interactions and adverse reactions.¹⁸ While these issues certainly affect quality of life, they also may influence chemotherapy treatment and potentially impact survival. Studies have shown that the presence of polypharmacy has been associated with higher numbers of comorbidities, increased use of inappropriate medications, poor performance status, decline in functional status, and poor survival.¹⁸

Functional Status

Although Eastern Cooperative Oncology Group (ECOG) performance status and Karnofsky Performance Status are commonly used by oncologists, these guidelines are limited in focus and do not reliably measure functional status in older patients. Functional status is determined by the ability to perform daily acts of self-care, which includes assessment of activities of daily living (ADLs) and instrumental activities of daily living (IADLs). ADLs refer to such tasks as bathing, dressing, eating, mobility, balance, and toileting.¹⁹ IADLs include the ability to perform activities required to live within a community and include shopping, transportation, managing finances, medication management, cooking, and cleaning.¹¹

Physical functionality also can be assessed by measures such as gait speed, grip strength, balance, and lower extremity strength. These are more sensitive and shown to be associated with worse clinical outcomes.²⁰ Grip strength and gait speed, as assessed by the Timed Up and Go test or the Short Physical Performance Battery measure strength and balance.¹² Reduction in gait speed and/or grip strength are associated with adverse clinical outcomes and increased risk of mortality.²¹ Patients with cancer who have difficulty with ADLs are at increased risk for falls, which can limit their functional independence, compromise cancer therapy, and increase the risk of chemotherapy toxicities.¹¹ Impaired hearing and poor vision are added factors that can be barriers to cancer treatment.

Cognition

Cognitive impairment in patients with cancer is becoming more of an issue for oncology HCPs as both cancer and cognitive decline are more common with advancing age. Cognition in cancer patients is important for understanding their diagnosis, prognosis, treatment options, and adherence. Impaired cognition can affect decision making regarding treatment options and administration. Cognition can be assessed through validated screening tools such as the Mini-Mental State Examination and Mini-Cog.¹¹

Psychological and Social Status

A cancer diagnosis has a major impact on the mental and emotional state of patients and family members. Clinically significant anxiety has been reported in approximately 21% of older patients with cancer, and the incidence of depression ranges from 17 to 26%.²² In older patients with, psychologic distress can impact cancer treatment, resulting in less definitive therapy and poorer outcomes.²³ All patients with cancer should be screened for psychologic distress using standardized methods, such as the Geriatric Depression Scale or the General Anxiety Disorder-7 scale.²⁴ A positive screen should lead to additional assessments that evaluate the severity of depression and other comorbid psychological problems and medical conditions.

Social isolation and loneliness are factors that can affect both depression and anxiety. Older patients with cancer are at risk for decreased social activities and are already challenged with issues related to home care, comorbidities, functional status, and caregiver support.²³ Therefore, it is important to assess the social interactions of an older and/or frail patient with cancer and use social work assistance to address needs for supportive services.

Nutrition

Nutrition is important in any patient with cancer undergoing chemotherapy treatment. However, it is of greater importance in older adults, as malnutrition and weight loss are negative prognostic factors that correlate with poor tolerance to chemotherapy treatment, decline in quality of life, and increased mortality.²⁵ The Mini-Nutritional Assessment is a widely used validated tool to assess nutritional status and risk of malnutrition.¹¹ This tool can help identify those older and/or frail patients with cancer with impaired nutritional status and aid in instituting corrective measures to treat or prevent malnutrition.

Effectiveness of CGA

Multiple randomized controlled clinical trials assessing the effectiveness of CGA have been conducted over the past 3 decades with overall positive outcomes related to its value.²⁶ Benefits of CGA can include overall improved medical care, avoidance of hospitalization or nursing home placement, identification of cognitive impairment, and prevention of geriatric syndrome (a range of conditions representing multiple organ impairment in older adults).²⁷

In oncology, CGA is particularly beneficial, as it can identify issues in nearly 70% of patients that may not be apparent through traditional oncology assessment.²⁸ A systematic review of 36 studies assessing the prognostic value of CGA in elderly patients with cancer receiving chemotherapy concluded that impaired performance and functional status as well as a frail and vulnerable profile are important predictors of severe chemotherapy-related toxicity and are associated with a higher risk of mortality.²⁹ Therefore, CGA should be an integral part of the evaluation of older and/or frail patients with cancer prior to chemotherapy consideration.

Several screening tools have been developed using information from CGA to assess the risk of severe toxicities. The most commonly used tools for predicting toxicity include the Cancer and Aging Research Group (CARG) chemotoxicity calculator and the Chemotherapy Risk Assessment Scale for High-Age Patients (CRASH).^30,31 Although these tools are readily available to facilitate CGA, and despite their proven beneficial outcome and recommended usage by national guidelines, implementation of these tools in routine oncology practice has been challenging and slow to spread. Unless these recommended interventions are effectively implemented, the benefits of CGA cannot be realized. With the expected surge in the number of older patients with cancer, hopefully this will change.

Geriatric Assessment Screening Tools

A screening tool recommended for use in older and/or frail patients with cancer allows for a brief assessment to help clinicians identify patients in need of further evaluation by CGA and to provides information on treatment-related toxicities, functional decline, and survival.³² The predictive value and utility of geriatric assessment screening tools have been repeatedly proven to identify older and/or frail adults at risk for treatment-related toxicities.¹² The CARG and the CRASH are validated screening tools used in identifying patients at higher risk for chemotherapy toxicity. These screening tools are intended to provide guidance to the clinical oncology practitioner on risk stratification of chemotherapy toxicity in older patients with cancer.³³

Both of these screening tools provide similar predictive performance for chemotherapy toxicity in older patients with cancer.³⁴ However, the CARG tool seems to have the advantage of using more data that had already been obtained during regular office visits and is clear and easy to use clinically. The CRASH tool is slightly more involved, as it uses multiple geriatric instruments to determine the predictive risk of both hematologic and nonhematologic toxicities of chemotherapy.

CARG Chemotoxicity Calculator

Hurria and colleagues originally developed the CARG tool from data obtained through a prospective multicenter study involving 500 patients with cancer aged ≥ 65 years.³⁵ They concluded that chemotherapy-related toxicity is common in older adults, with 53% of patients sustaining grade 3 or 4 treatment-related toxicities and 2% treatment-related mortality.¹² This predictive model for chemotherapy-related toxicity used 11 variables, both objective (obtained during a regular clinical encounter: age, tumor type, chemotherapy dosing, number of drugs, creatinine, and hemoglobin) and subjective (completed by patient: number of falls, social support, the ability to take medications, hearing impairment, and physical performance), to determine at-risk patients (Table 1).³¹

Compared with standard performance status measures in oncology practice, the CARG model was better able to predict chemotherapy-related toxicities. In 2016, Hurria and colleagues published the results of an updated external validation study with a cohort of 250 older patients with cancer receiving chemotherapy that confirmed the prediction of chemotherapy toxicity using the CARG screening tool in this population.³¹ An appealing feature of this tool is the free online accessibility and the expedited manner in which screening can be conducted.

CRASH Score

The CRASH score was derived from the results of a prospective, multicenter study of 518 patients aged ≥ 70 years who were assessed on 24 parameters prior to starting chemotherapy.³⁰ A total of 64% of patients experienced significant toxicities, including 32% with grade 4 hematologic toxicity and 56% with grade 3 or 4 nonhematologic toxicity. The hematologic and nonhematologic toxicity risks are the 2 categories that comprise the CRASH score. Both baseline patient variables and chemotherapy regimen are incorporated into an 8-item assessment profile that determines the risk categories (Table 2).³⁰

Increased risk of hematologic toxicities was associated with increased diastolic blood pressure, increased lactate dehydrogenase, need for assistance with IADL, and increased toxicity potential of the chemotherapy regimen. Nonhematologic toxicities were associated with ECOG performance score, Mini Mental Status Examination and Mini-Nutritional Assessment, and increased toxicity of the chemotherapy regimen.¹² Patient scores are stratified into 4 risk categories: low, medium-low, medium-high, and high.³⁰ Like the CARG tool, the CRASH screening tool also is available as a free online resource and can be used in everyday clinical practice to assess older and/or frail adults with cancer.

Conclusions 

In older adults, cancer may significantly impact the natural course of concurrent comorbidities due to physiologic and functional changes. These vulnerabilities predispose older patients with cancer to an increased risk of adverse outcomes, including treatment-related toxicities.³⁶ Given the rapidly aging population, it is critical for oncology clinical teams to be prepared to assess for, prevent, and manage issues for older adults that could impact outcomes, including complications and toxicities from chemotherapy.³⁵ Studies have reported that 78 to 93% of older oncology patients have at least 1 geriatric impairment that could potentially impact oncology treatment plans.^37,38 This supports the utility of CGA as a global assessment tool to risk stratify older and/or frail patients prior to deciding on subsequent oncologic treatment approaches.⁵ In fact, major cooperative groups sponsored by the National Cancer Institute, such as the Alliance for Clinical Trials in Oncology, are including CGA as part of some of their treatment trials. CGA was conducted as part of a multicenter cooperative group study in older patients with acute myeloid leukemia prior to inpatient intensive induction chemotherapy and was determined to be feasible and useful in clinical trials and practice.³⁹

Despite the increasing evidence for benefits of CGA, it has not been a consistent part of oncology practices, and few HCPs are familiar with the benefits of CGA screening tools. Although oncology providers routinely participate in every aspect of cancer care and play a vital role in the coordination and management of older patients with cancer, CGA implementation into routine clinical practice has been slow in part due to lack of knowledge and training regarding the use of GA tools.

Oncology providers can easily incorporate CGA screening tools into the history and physical examination process for older patients with cancer, which will add an important dimension to these patient evaluations. Oncology providers are not only well positioned to administer these screening tools, but also can lead the field in developing innovative ways for effective implementation in busy routine oncology clinics. However, to be successful, oncology providers must be knowledgeable about these tools and understand their utility in guiding treatment decisions and improving quality of care in older patients with cancer.

Age is a well recognized risk factor for cancer development. The population of older Americans is growing, and by 2030, 20% of the US population will be aged ≥ 65 years.¹ While 25% of all new cancer cases are diagnosed in people aged 65 to 74 years, more than half of cancers occur in individuals aged ≥ 70 years, with even higher rates in those aged ≥ 75 years.² Although cancer rates have declined slightly overall among people aged ≥ 65 years, this population still has an 11-fold increased incidence of cancer compared with that of younger individuals.³ With a rapidly growing older population, there will be increasing demand for cancer care.

Treatment of cancer in older individuals often is complicated by medical comorbidities, frailty, and poor functional status. Distinguishing patients who can tolerate aggressive therapy from those who require less intensive therapy can be challenging. Age-related physiologic changes predispose older adults to an increased risk of therapy-related toxicities, resulting in suboptimal therapeutic benefit and substantial morbidity. For example, cardiovascular changes can lead to reduction of the cardiac functional reserve, which can increase the risk of congestive heart failure. Similarly, decline in renal function leads to an increased potential for nephrotoxicity.⁴ Although patients may be of the same chronologic age, their performance, functional, and biologic status may be quite variable; thus, tolerance to aggressive treatment is not easily predicted. The comprehensive geriatric assessment (CGA) may be used as a global assessment tool to risk stratify older patients prior to oncologic treatment decisions.⁵

Health care providers (HCPs), including physician assistants, nurse practitioners, clinical nurse specialists, nurses, and physicians, routinely participate in every aspect of cancer care by ordering and interpreting diagnostic tests, addressing comorbidities, managing symptoms, and discussing cancer treatment recommendations. HCPs in oncology will continue to play a vital role in the coordination and management of older patients with cancer. However, in general, CGA has not been a consistent part of oncology practices, and few HCPs are familiar with the benefits of CGA screening tools.

What Is Geriatric Assessment? 

Geriatric assessment is a multidisciplinary, multidimensional process aimed at detecting medical, psychosocial, and functional issues of older adults that are not identified by traditional performance status measures alone. It provides guidance for management of identified problems and improvement in quality of life.⁶ CGA was developed by geriatricians and multidisciplinary care teams to evaluate the domains of functional, nutritional, cognitive, psychosocial, and economic status; comorbidities; geriatric syndromes; and mood, and it has been tested in both clinics and hospitals.⁷ Although such assessment requires additional time and resources, its goals are to identify areas of vulnerability, assist in clinical decisions of treatable health problems, and guide therapeutic interventions.⁶ In oncology practice, the assessment not only addresses these global issues, but also is critical in predicting toxicity and survival outcomes in older oncology patients.

Components of CGA 

Advancing age brings many physiologic, psychosocial, and functional challenges, and a cancer diagnosis only adds to these issues. CGA provides a system of assessing older and/or frail patients with cancer through specific domains to identify issues that are not apparent on routine evaluation in a clinic setting before and during chemotherapy treatments. These domains include comorbidity, polypharmacy, functional status, cognition, psychological and social status, and nutrition.⁸

Comorbidity

The prevalence of multiple medical problems and comorbidities, including cancer, among people aged > 65 years is increasing.⁹ Studies have shown that two-thirds of patients with cancer had ≥ 2 medical conditions, and nearly one quarter had ≥ 4 medical conditions.¹⁰ In older adults, common comorbidities include cardiovascular disease, hypertension, diabetes mellitus, and dementia. These comorbidities can impact treatment decisions, increase the risk of disease, impact treatment-related complications, and affect a patient’s life expectancy.¹¹ Assessing comorbidities is essential to CGA and is done using the Charlson Comorbidity Index and/or the Cumulative Illness Rating Scale.¹²

The Charlson Comorbidity Index was originally designed to predict 1-year mortality on the basis of a weighted composite score for the following categories: cardiovascular, endocrine, pulmonary, neurologic, renal, hepatic, gastrointestinal, and neoplastic disease.¹³ It is now the most widely used comorbidity index and has been adapted and verified as applicable and valid for predicting the outcomes and risk of death from many comorbid diseases.¹⁴ The Cumulative Illness Rating Scale has been validated as a predictor for readmission for hospitalized older adults, hospitalization within 1 year in a residential setting, and long-term mortality when assessed in inpatient and residential settings.¹⁵

Polypharmacy

Polypharmacy (use of ≥ 5 medications) is common in older patients regardless of cancer diagnosis and is often instead defined as “the use of multiple drugs or more than are medically necessary.”¹⁶ The use of multiple medications, including those not indicated for existing medical conditions (such as over‐the‐counter, herbal, and complementary/alternative medicines, which patients often fail to declare to their specialist, doctor, or pharmacist) adds to the potential negative aspects of polypharmacy that affect older patients.¹⁷

Patients with cancer usually are prescribed an extensive number of medicines, both for the disease and for supportive care, which can increase the chance of drug-drug interactions and adverse reactions.¹⁸ While these issues certainly affect quality of life, they also may influence chemotherapy treatment and potentially impact survival. Studies have shown that the presence of polypharmacy has been associated with higher numbers of comorbidities, increased use of inappropriate medications, poor performance status, decline in functional status, and poor survival.¹⁸

Functional Status

Although Eastern Cooperative Oncology Group (ECOG) performance status and Karnofsky Performance Status are commonly used by oncologists, these guidelines are limited in focus and do not reliably measure functional status in older patients. Functional status is determined by the ability to perform daily acts of self-care, which includes assessment of activities of daily living (ADLs) and instrumental activities of daily living (IADLs). ADLs refer to such tasks as bathing, dressing, eating, mobility, balance, and toileting.¹⁹ IADLs include the ability to perform activities required to live within a community and include shopping, transportation, managing finances, medication management, cooking, and cleaning.¹¹

Physical functionality also can be assessed by measures such as gait speed, grip strength, balance, and lower extremity strength. These are more sensitive and shown to be associated with worse clinical outcomes.²⁰ Grip strength and gait speed, as assessed by the Timed Up and Go test or the Short Physical Performance Battery measure strength and balance.¹² Reduction in gait speed and/or grip strength are associated with adverse clinical outcomes and increased risk of mortality.²¹ Patients with cancer who have difficulty with ADLs are at increased risk for falls, which can limit their functional independence, compromise cancer therapy, and increase the risk of chemotherapy toxicities.¹¹ Impaired hearing and poor vision are added factors that can be barriers to cancer treatment.

Cognition

Cognitive impairment in patients with cancer is becoming more of an issue for oncology HCPs as both cancer and cognitive decline are more common with advancing age. Cognition in cancer patients is important for understanding their diagnosis, prognosis, treatment options, and adherence. Impaired cognition can affect decision making regarding treatment options and administration. Cognition can be assessed through validated screening tools such as the Mini-Mental State Examination and Mini-Cog.¹¹

Psychological and Social Status

A cancer diagnosis has a major impact on the mental and emotional state of patients and family members. Clinically significant anxiety has been reported in approximately 21% of older patients with cancer, and the incidence of depression ranges from 17 to 26%.²² In older patients with, psychologic distress can impact cancer treatment, resulting in less definitive therapy and poorer outcomes.²³ All patients with cancer should be screened for psychologic distress using standardized methods, such as the Geriatric Depression Scale or the General Anxiety Disorder-7 scale.²⁴ A positive screen should lead to additional assessments that evaluate the severity of depression and other comorbid psychological problems and medical conditions.

Social isolation and loneliness are factors that can affect both depression and anxiety. Older patients with cancer are at risk for decreased social activities and are already challenged with issues related to home care, comorbidities, functional status, and caregiver support.²³ Therefore, it is important to assess the social interactions of an older and/or frail patient with cancer and use social work assistance to address needs for supportive services.

Nutrition

Nutrition is important in any patient with cancer undergoing chemotherapy treatment. However, it is of greater importance in older adults, as malnutrition and weight loss are negative prognostic factors that correlate with poor tolerance to chemotherapy treatment, decline in quality of life, and increased mortality.²⁵ The Mini-Nutritional Assessment is a widely used validated tool to assess nutritional status and risk of malnutrition.¹¹ This tool can help identify those older and/or frail patients with cancer with impaired nutritional status and aid in instituting corrective measures to treat or prevent malnutrition.

Effectiveness of CGA

Multiple randomized controlled clinical trials assessing the effectiveness of CGA have been conducted over the past 3 decades with overall positive outcomes related to its value.²⁶ Benefits of CGA can include overall improved medical care, avoidance of hospitalization or nursing home placement, identification of cognitive impairment, and prevention of geriatric syndrome (a range of conditions representing multiple organ impairment in older adults).²⁷

In oncology, CGA is particularly beneficial, as it can identify issues in nearly 70% of patients that may not be apparent through traditional oncology assessment.²⁸ A systematic review of 36 studies assessing the prognostic value of CGA in elderly patients with cancer receiving chemotherapy concluded that impaired performance and functional status as well as a frail and vulnerable profile are important predictors of severe chemotherapy-related toxicity and are associated with a higher risk of mortality.²⁹ Therefore, CGA should be an integral part of the evaluation of older and/or frail patients with cancer prior to chemotherapy consideration.

Several screening tools have been developed using information from CGA to assess the risk of severe toxicities. The most commonly used tools for predicting toxicity include the Cancer and Aging Research Group (CARG) chemotoxicity calculator and the Chemotherapy Risk Assessment Scale for High-Age Patients (CRASH).^30,31 Although these tools are readily available to facilitate CGA, and despite their proven beneficial outcome and recommended usage by national guidelines, implementation of these tools in routine oncology practice has been challenging and slow to spread. Unless these recommended interventions are effectively implemented, the benefits of CGA cannot be realized. With the expected surge in the number of older patients with cancer, hopefully this will change.

Geriatric Assessment Screening Tools

A screening tool recommended for use in older and/or frail patients with cancer allows for a brief assessment to help clinicians identify patients in need of further evaluation by CGA and to provides information on treatment-related toxicities, functional decline, and survival.³² The predictive value and utility of geriatric assessment screening tools have been repeatedly proven to identify older and/or frail adults at risk for treatment-related toxicities.¹² The CARG and the CRASH are validated screening tools used in identifying patients at higher risk for chemotherapy toxicity. These screening tools are intended to provide guidance to the clinical oncology practitioner on risk stratification of chemotherapy toxicity in older patients with cancer.³³

Both of these screening tools provide similar predictive performance for chemotherapy toxicity in older patients with cancer.³⁴ However, the CARG tool seems to have the advantage of using more data that had already been obtained during regular office visits and is clear and easy to use clinically. The CRASH tool is slightly more involved, as it uses multiple geriatric instruments to determine the predictive risk of both hematologic and nonhematologic toxicities of chemotherapy.

CARG Chemotoxicity Calculator

Hurria and colleagues originally developed the CARG tool from data obtained through a prospective multicenter study involving 500 patients with cancer aged ≥ 65 years.³⁵ They concluded that chemotherapy-related toxicity is common in older adults, with 53% of patients sustaining grade 3 or 4 treatment-related toxicities and 2% treatment-related mortality.¹² This predictive model for chemotherapy-related toxicity used 11 variables, both objective (obtained during a regular clinical encounter: age, tumor type, chemotherapy dosing, number of drugs, creatinine, and hemoglobin) and subjective (completed by patient: number of falls, social support, the ability to take medications, hearing impairment, and physical performance), to determine at-risk patients (Table 1).³¹

Compared with standard performance status measures in oncology practice, the CARG model was better able to predict chemotherapy-related toxicities. In 2016, Hurria and colleagues published the results of an updated external validation study with a cohort of 250 older patients with cancer receiving chemotherapy that confirmed the prediction of chemotherapy toxicity using the CARG screening tool in this population.³¹ An appealing feature of this tool is the free online accessibility and the expedited manner in which screening can be conducted.

CRASH Score

The CRASH score was derived from the results of a prospective, multicenter study of 518 patients aged ≥ 70 years who were assessed on 24 parameters prior to starting chemotherapy.³⁰ A total of 64% of patients experienced significant toxicities, including 32% with grade 4 hematologic toxicity and 56% with grade 3 or 4 nonhematologic toxicity. The hematologic and nonhematologic toxicity risks are the 2 categories that comprise the CRASH score. Both baseline patient variables and chemotherapy regimen are incorporated into an 8-item assessment profile that determines the risk categories (Table 2).³⁰

Increased risk of hematologic toxicities was associated with increased diastolic blood pressure, increased lactate dehydrogenase, need for assistance with IADL, and increased toxicity potential of the chemotherapy regimen. Nonhematologic toxicities were associated with ECOG performance score, Mini Mental Status Examination and Mini-Nutritional Assessment, and increased toxicity of the chemotherapy regimen.¹² Patient scores are stratified into 4 risk categories: low, medium-low, medium-high, and high.³⁰ Like the CARG tool, the CRASH screening tool also is available as a free online resource and can be used in everyday clinical practice to assess older and/or frail adults with cancer.

Conclusions 

In older adults, cancer may significantly impact the natural course of concurrent comorbidities due to physiologic and functional changes. These vulnerabilities predispose older patients with cancer to an increased risk of adverse outcomes, including treatment-related toxicities.³⁶ Given the rapidly aging population, it is critical for oncology clinical teams to be prepared to assess for, prevent, and manage issues for older adults that could impact outcomes, including complications and toxicities from chemotherapy.³⁵ Studies have reported that 78 to 93% of older oncology patients have at least 1 geriatric impairment that could potentially impact oncology treatment plans.^37,38 This supports the utility of CGA as a global assessment tool to risk stratify older and/or frail patients prior to deciding on subsequent oncologic treatment approaches.⁵ In fact, major cooperative groups sponsored by the National Cancer Institute, such as the Alliance for Clinical Trials in Oncology, are including CGA as part of some of their treatment trials. CGA was conducted as part of a multicenter cooperative group study in older patients with acute myeloid leukemia prior to inpatient intensive induction chemotherapy and was determined to be feasible and useful in clinical trials and practice.³⁹

Despite the increasing evidence for benefits of CGA, it has not been a consistent part of oncology practices, and few HCPs are familiar with the benefits of CGA screening tools. Although oncology providers routinely participate in every aspect of cancer care and play a vital role in the coordination and management of older patients with cancer, CGA implementation into routine clinical practice has been slow in part due to lack of knowledge and training regarding the use of GA tools.

Oncology providers can easily incorporate CGA screening tools into the history and physical examination process for older patients with cancer, which will add an important dimension to these patient evaluations. Oncology providers are not only well positioned to administer these screening tools, but also can lead the field in developing innovative ways for effective implementation in busy routine oncology clinics. However, to be successful, oncology providers must be knowledgeable about these tools and understand their utility in guiding treatment decisions and improving quality of care in older patients with cancer.

The number of women seeking care from the Veterans Health Administration (VHA) is increasing.¹ In 2015, there were 2 million women veterans in the United States, which is 9.4% of the total veteran population. This group is expected to increase at an average of about 18,000 women per year for the next 10 years.² The percentage of women veterans who are US Department of Veterans Affairs (VA) users aged 45 to 64 years rose 46% from 2000 to 2015.^1,3-4 It is estimated that 15% of veterans who used VA services in 2020 were women.¹ Nineteen percent of women veterans are Black.¹ The median age of women veterans in 2015 was 50 years.⁵ Breast cancer is the leading cancer affecting female veterans, and data suggest they have an increased risk of breast cancer based on unique service-related exposures.^1,6-9

In the US, about 10 million women are eligible for breast cancer preventive therapy, including, but not limited to, medications, surgery, or lifestyle changes.¹⁰ Secondary prevention options include change in surveillance that can reduce their risk or identify cancer at an earlier stage when treatment is more effective. The United States Preventive Services Task Force, the National Comprehensive Cancer Network, the American Society for Clinical Oncology, the National Institute for Health and Care Excellence, and the Oncology Nursing Society recommend screening women aged ≥ 35 years to assess breast cancer risk.^11-18 If a woman is at increased risk, she may be a candidate for chemoprevention, prozphylactic surgery, and possibly an enhanced screening regimen.

Urban and minority women are an understudied population. Most veterans (75%) live in urban or suburban settings.^19,20 Urban veteran women constitute an important potential study population.

Chemoprevention measures have been underused because of factors involving both women and their health care providers. A large proportion of women are unaware of their higher risk status due to lack of adequate screening and risk assessment.^21,22 In addition to patient lack of awareness of their high-risk status, primary care physicians are also reluctant to prescribe chemopreventive agents due to a lack of comfort or familiarity with the risks and benefits.^23-26 The STAR2015, BCPT2005, IBIS2014, MAP3 2011, IBIS-I 2014, and IBIS II 2014 studies clearly demonstrate a 49 to 62% reduction in risk for women using chemoprevention such as selective estrogen receptor modulators or aromatase inhibitors, respectively.^27-32 Yet only 4 to 9% of high-risk women not enrolled in a clinical trial are using chemoprevention.^33-39

The possibility of developing breast cancer also may be increased because of a positive family history or being a member of a family in which there is a known susceptibility gene mutation.⁴⁰ Based on these risk factors, women may be eligible for tailored follow-up and genetic counseling.^41-44

Nationally, 7 to 10% of the civilian US population will experience posttraumatic stress disorder (PTSD).⁴⁵ The rates are remarkably higher for women veterans, with roughly 20% diagnosed with PTSD.^46,47 Anxiety and PTSD have been implicated in poor adherence to medical advice.^48,49

In 2014, a national VA multidisciplinary group focused on breast cancer prevention, detection, treatment, and research to address breast health in the growing population of women veterans. High-risk breast cancer screenings are not routinely carried out by the VA in primary care, women’s health, or oncology services. Furthermore, the recording of screening questionnaire results was not synchronized until a standard questionnaire was created and approved as a template by this group in the VA electronic medical record (EMR) in 2015.

Several prediction models can identify which women are at an increased risk of developing breast cancer. The most commonly used risk assessment model, the Gail breast cancer risk assessment tool (BCRAT), has been refined to include women of additional ethnicities (https://www.cancer.gov/bcrisktool).

This pilot project was launched to identify an effective manner to screen women veterans regarding their risk of developing breast cancer and refer them for chemoprevention education or genetic counseling as appropriate.

Methods

A high-risk breast cancer screening questionnaire based on the Gail BCRAT and including lifestyle questions was developed and included as a note template in the VA EMR. The James J. Peters VA Medical Center, Bronx, NY (JJPVAMC) and the Washington DC VA Medical Center (DCVAMC) ran a pilot study between 2015 and 2018 using this breast cancer screening questionnaire to collect data from women veterans. Quality Executive Committee and institutional review board approvals were granted respectively.

Eligibility criteria included women aged ≥ 35 years with no personal history of breast cancer. Most patients were self-referred, but participants also were recruited during VA Breast Cancer Awareness month events, health fairs, or at informational tables in the hospital lobbies. After completing the 20 multiple choice questionnaire with a study team member, either in person or over the phone, a 5-year and lifetime risk of invasive breast cancer was calculated using the Gail BCRAT. A woman is considered high risk and eligible for chemoprevention if her 5-year risk is > 1.66% or her lifetime risk is ≥ 20%. Eligibility for genetic counseling is based on the Breast Cancer Referral Screening Tool, which includes a personal or family history of breast or ovarian cancer and Jewish ancestry.

All patients were notified of their average or high risk status by a clinician. Those who were deemed to be average risk received a follow-up letter in the mail with instructions (eg, to follow-up with a yearly mammogram). Those who were deemed to be high risk for developing breast cancer were asked to come in for an appointment with the study principal investigator (a VA oncologist/breast cancer specialist) to discuss prevention options, further screening, or referrals to genetic counseling. Depending on a patient’s other health factors, a woman at high risk for developing breast cancer also may be a candidate for chemoprevention with tamoxifen, raloxifene, exemestane, anastrozole, or letrozole.

Data on the participant’s lifestyle, including exercise, diet, and smoking, were evaluated to determine whether these factors had an impact on risk status.

Results

The JJP and DC VAMCs screened 103 women veterans between 2015 and 2018. Four patients were excluded for nonveteran (spousal) status, leaving 99 women veterans with a mean age of 54 years. The most common self-reported races were Black (60%), non-Hispanic White (14%), and Hispanic or Latino (13%) (Table 1).

Women veterans in our study were nearly 3-times more likely than the general population were to receive a high-risk Gail Score/BCRAT (35% vs 13%, respectively).^50,51 Of this subset, 46% had breast biopsies, and 86% had a positive family history. Thirty-one percent of Black women in our study were high risk, while nationally, 8.2 to 13.3% of Black women aged 50 to 59 years are considered high risk.^50,51 Of the Black high-risk group with a high Gail/BCRAT score, 94% had a positive family history, and 33% had a history of breast biopsy (Table 2).

Of the 35 high-risk patients 26 (74%) patients accepted consultations for chemoprevention and 5 (19%) started chemoprevention. Of this high-risk group, 13 (37%) patients were referred for genetic counseling (Table 3).⁴⁴ The prevalence of PTSD was present in 31% of high-risk women and 29% of the cohort (Figure).The lifestyle questions indicated that, among all participants, 79% had an overweight or obese body mass index; 58% exercised weekly; 51% consumed alcohol; 14% were smokers; and 21% consumed 3 to 4 servings of fruits/vegetables daily.

Discussion

Breast cancer is the most common cancer in women.⁵² The number of women with breast cancer in the VHA has more than tripled from 1995 to 2012.¹ The lifetime risk of developing breast cancer in the general population is about 13%.⁵⁰ This rate can be affected by risk factors including age, hormone exposure, family history, radiation exposure, and lifestyle factors, such as weight and alcohol use.^6,52-56 In the United States, invasive breast cancer affects 1 in 8 women.^50,52,57

Our screened population showed nearly 3 times as many women veterans were at an increased risk for breast cancer when compared with historical averages in US women. This difference may be based on a high rate of prior breast biopsies or positive family history, although a provocative study using the Surveillance, Epidemiology, and End Results database showed military women to have higher rates of breast cancer as well.⁹ Historically, Blacks are vastly understudied in clinical research with only 5% representation on a national level.^5,58 The urban locations of both pilot sites (Washington, DC and Bronx, NY) allowed for the inclusion of minority patients in our study. We found that the rates of breast cancer in Black women veterans to be higher than seen nationally, possibly prompting further screening initiatives for this understudied population.

Our pilot study’s chemoprevention utilization (19%) was double the < 10% seen in the national population.^33-35 The presence of a knowledgeable breast health practitioner to recruit study participants and offer personalized counseling to women veterans is a likely factor in overcoming barriers to chemopreventive acceptance. These participants may have been motivated to seek care for their high-risk status given a strong family history and prior breast biopsies.

Interestingly, a 3-fold higher PTSD rate was seen in this pilot population (29%) when compared with PTSD rates in the general female population (7-10%) and still one-third higher than the general population of women veterans (20%).^45-47 Mental health, anxiety, and PTSD have been barriers to patients who sought treatment and have been implicated in poor adherence to medical advice.^48,49 Cancer screening can induce anxiety in patients, and it may be amplified in patients with PTSD. It was remarkable that although adherence with screening recommendations is decreased when PTSD is present, our patient population demonstrated a higher rate of screening adherence.

Women who are seen at the VA often use multiple clinical specialties, and their EMR can be accessed across VA medical centers nationwide. Therefore, identifying women veterans who meet screening criteria is easily attainable within the VA.

When comparing high-risk with average risk women, the lifestyle results (BMI, smoking history, exercise and consumption of fruits, vegetables and alcohol) were essentially the same. Lifestyle factors were similar to national population rates and were unlikely to impact risk levels.

Limitations

Study limitations included a high number of self-referrals and the large percentage of patients with a family history of breast cancer, making them more likely to seek screening. The higher-than-average risk of breast cancer may be driven by a high rate of breast biopsies and a strong family history. Lifestyle metrics could not be accurately compared to other national assessments of lifestyle factors due to the difference in data points that we used or the format of our questions.

Conclusions

As the number of women veterans increases and the incidence of breast cancer in women veterans rise, chemoprevention options should follow national guidelines. To our knowledge, this is the only oncology study with 60% Black women veterans. This study had a higher participation rate for Black women veterans than is typically seen in national research studies and shows the VA to be a germane source for further understanding of an understudied population that may benefit from increased screening for breast cancer.

A team-based, multidisciplinary model that meets the unique healthcare needs of women veterans results in a patient-centric delivery of care for assessing breast cancer risk status and prevention options. This model can be replicated nationally by directing primary care physicians and women’s health practitioners to a risk-assessment questionnaire and referring high-risk women for appropriate preventative care. Given that these results show chemoprevention adherence rates doubled those seen nationally, perhaps techniques used within this VA pilot study may be adapted to decrease breast cancer incidence nationally.

Since the rate of PTSD among women veterans is triple the national average, we would expect adherence rates to be lower in our patient cohort. However, the multidisciplinary approach we used in this study (eg, 1:1 consultation with oncologist; genetic counseling referrals; mental health support available), may have improved adherence rates. Perhaps the high rates of PTSD seen in the VA patient population can be a useful way to explore patient adherence rates in those with mental illness and medical conditions.

Future research with a larger cohort may lead to greater insight into the correlation between PTSD and adherence to treatment. Exploring the connection between breast cancer, epigenetics, and specific military service-related exposures could be an area of analysis among this veteran population exhibiting increased breast cancer rates. VAMCs are situated in rural, suburban, and urban locations across the United States and offers a diverse socioeconomic and ethnic patient population for inclusion in clinical investigations. Women veterans make up a small subpopulation of women in the United States, but it is worth considering VA patients as an untapped resource for research collaboration.

Acknowledgements

The authors thank Steven Sanchez and Marissa Vallette, PhD, Breast Health Research Group. This research project was approved by the James J. Peters VA Medical Center Quality Executive Committee and the Washington, DC VA Medical Center Institutional Review Board. This work was supported by the US Department of Veterans Affairs. This work did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Author disclosures

The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

The number of women seeking care from the Veterans Health Administration (VHA) is increasing.¹ In 2015, there were 2 million women veterans in the United States, which is 9.4% of the total veteran population. This group is expected to increase at an average of about 18,000 women per year for the next 10 years.² The percentage of women veterans who are US Department of Veterans Affairs (VA) users aged 45 to 64 years rose 46% from 2000 to 2015.^1,3-4 It is estimated that 15% of veterans who used VA services in 2020 were women.¹ Nineteen percent of women veterans are Black.¹ The median age of women veterans in 2015 was 50 years.⁵ Breast cancer is the leading cancer affecting female veterans, and data suggest they have an increased risk of breast cancer based on unique service-related exposures.^1,6-9

In the US, about 10 million women are eligible for breast cancer preventive therapy, including, but not limited to, medications, surgery, or lifestyle changes.¹⁰ Secondary prevention options include change in surveillance that can reduce their risk or identify cancer at an earlier stage when treatment is more effective. The United States Preventive Services Task Force, the National Comprehensive Cancer Network, the American Society for Clinical Oncology, the National Institute for Health and Care Excellence, and the Oncology Nursing Society recommend screening women aged ≥ 35 years to assess breast cancer risk.^11-18 If a woman is at increased risk, she may be a candidate for chemoprevention, prozphylactic surgery, and possibly an enhanced screening regimen.

Urban and minority women are an understudied population. Most veterans (75%) live in urban or suburban settings.^19,20 Urban veteran women constitute an important potential study population.

Chemoprevention measures have been underused because of factors involving both women and their health care providers. A large proportion of women are unaware of their higher risk status due to lack of adequate screening and risk assessment.^21,22 In addition to patient lack of awareness of their high-risk status, primary care physicians are also reluctant to prescribe chemopreventive agents due to a lack of comfort or familiarity with the risks and benefits.^23-26 The STAR2015, BCPT2005, IBIS2014, MAP3 2011, IBIS-I 2014, and IBIS II 2014 studies clearly demonstrate a 49 to 62% reduction in risk for women using chemoprevention such as selective estrogen receptor modulators or aromatase inhibitors, respectively.^27-32 Yet only 4 to 9% of high-risk women not enrolled in a clinical trial are using chemoprevention.^33-39

The possibility of developing breast cancer also may be increased because of a positive family history or being a member of a family in which there is a known susceptibility gene mutation.⁴⁰ Based on these risk factors, women may be eligible for tailored follow-up and genetic counseling.^41-44

Nationally, 7 to 10% of the civilian US population will experience posttraumatic stress disorder (PTSD).⁴⁵ The rates are remarkably higher for women veterans, with roughly 20% diagnosed with PTSD.^46,47 Anxiety and PTSD have been implicated in poor adherence to medical advice.^48,49

In 2014, a national VA multidisciplinary group focused on breast cancer prevention, detection, treatment, and research to address breast health in the growing population of women veterans. High-risk breast cancer screenings are not routinely carried out by the VA in primary care, women’s health, or oncology services. Furthermore, the recording of screening questionnaire results was not synchronized until a standard questionnaire was created and approved as a template by this group in the VA electronic medical record (EMR) in 2015.

Several prediction models can identify which women are at an increased risk of developing breast cancer. The most commonly used risk assessment model, the Gail breast cancer risk assessment tool (BCRAT), has been refined to include women of additional ethnicities (https://www.cancer.gov/bcrisktool).

This pilot project was launched to identify an effective manner to screen women veterans regarding their risk of developing breast cancer and refer them for chemoprevention education or genetic counseling as appropriate.

Methods

A high-risk breast cancer screening questionnaire based on the Gail BCRAT and including lifestyle questions was developed and included as a note template in the VA EMR. The James J. Peters VA Medical Center, Bronx, NY (JJPVAMC) and the Washington DC VA Medical Center (DCVAMC) ran a pilot study between 2015 and 2018 using this breast cancer screening questionnaire to collect data from women veterans. Quality Executive Committee and institutional review board approvals were granted respectively.

Eligibility criteria included women aged ≥ 35 years with no personal history of breast cancer. Most patients were self-referred, but participants also were recruited during VA Breast Cancer Awareness month events, health fairs, or at informational tables in the hospital lobbies. After completing the 20 multiple choice questionnaire with a study team member, either in person or over the phone, a 5-year and lifetime risk of invasive breast cancer was calculated using the Gail BCRAT. A woman is considered high risk and eligible for chemoprevention if her 5-year risk is > 1.66% or her lifetime risk is ≥ 20%. Eligibility for genetic counseling is based on the Breast Cancer Referral Screening Tool, which includes a personal or family history of breast or ovarian cancer and Jewish ancestry.

All patients were notified of their average or high risk status by a clinician. Those who were deemed to be average risk received a follow-up letter in the mail with instructions (eg, to follow-up with a yearly mammogram). Those who were deemed to be high risk for developing breast cancer were asked to come in for an appointment with the study principal investigator (a VA oncologist/breast cancer specialist) to discuss prevention options, further screening, or referrals to genetic counseling. Depending on a patient’s other health factors, a woman at high risk for developing breast cancer also may be a candidate for chemoprevention with tamoxifen, raloxifene, exemestane, anastrozole, or letrozole.

Data on the participant’s lifestyle, including exercise, diet, and smoking, were evaluated to determine whether these factors had an impact on risk status.

Results

The JJP and DC VAMCs screened 103 women veterans between 2015 and 2018. Four patients were excluded for nonveteran (spousal) status, leaving 99 women veterans with a mean age of 54 years. The most common self-reported races were Black (60%), non-Hispanic White (14%), and Hispanic or Latino (13%) (Table 1).

Women veterans in our study were nearly 3-times more likely than the general population were to receive a high-risk Gail Score/BCRAT (35% vs 13%, respectively).^50,51 Of this subset, 46% had breast biopsies, and 86% had a positive family history. Thirty-one percent of Black women in our study were high risk, while nationally, 8.2 to 13.3% of Black women aged 50 to 59 years are considered high risk.^50,51 Of the Black high-risk group with a high Gail/BCRAT score, 94% had a positive family history, and 33% had a history of breast biopsy (Table 2).

Of the 35 high-risk patients 26 (74%) patients accepted consultations for chemoprevention and 5 (19%) started chemoprevention. Of this high-risk group, 13 (37%) patients were referred for genetic counseling (Table 3).⁴⁴ The prevalence of PTSD was present in 31% of high-risk women and 29% of the cohort (Figure).The lifestyle questions indicated that, among all participants, 79% had an overweight or obese body mass index; 58% exercised weekly; 51% consumed alcohol; 14% were smokers; and 21% consumed 3 to 4 servings of fruits/vegetables daily.

Discussion

Breast cancer is the most common cancer in women.⁵² The number of women with breast cancer in the VHA has more than tripled from 1995 to 2012.¹ The lifetime risk of developing breast cancer in the general population is about 13%.⁵⁰ This rate can be affected by risk factors including age, hormone exposure, family history, radiation exposure, and lifestyle factors, such as weight and alcohol use.^6,52-56 In the United States, invasive breast cancer affects 1 in 8 women.^50,52,57

Our screened population showed nearly 3 times as many women veterans were at an increased risk for breast cancer when compared with historical averages in US women. This difference may be based on a high rate of prior breast biopsies or positive family history, although a provocative study using the Surveillance, Epidemiology, and End Results database showed military women to have higher rates of breast cancer as well.⁹ Historically, Blacks are vastly understudied in clinical research with only 5% representation on a national level.^5,58 The urban locations of both pilot sites (Washington, DC and Bronx, NY) allowed for the inclusion of minority patients in our study. We found that the rates of breast cancer in Black women veterans to be higher than seen nationally, possibly prompting further screening initiatives for this understudied population.

Our pilot study’s chemoprevention utilization (19%) was double the < 10% seen in the national population.^33-35 The presence of a knowledgeable breast health practitioner to recruit study participants and offer personalized counseling to women veterans is a likely factor in overcoming barriers to chemopreventive acceptance. These participants may have been motivated to seek care for their high-risk status given a strong family history and prior breast biopsies.

Interestingly, a 3-fold higher PTSD rate was seen in this pilot population (29%) when compared with PTSD rates in the general female population (7-10%) and still one-third higher than the general population of women veterans (20%).^45-47 Mental health, anxiety, and PTSD have been barriers to patients who sought treatment and have been implicated in poor adherence to medical advice.^48,49 Cancer screening can induce anxiety in patients, and it may be amplified in patients with PTSD. It was remarkable that although adherence with screening recommendations is decreased when PTSD is present, our patient population demonstrated a higher rate of screening adherence.

Women who are seen at the VA often use multiple clinical specialties, and their EMR can be accessed across VA medical centers nationwide. Therefore, identifying women veterans who meet screening criteria is easily attainable within the VA.

When comparing high-risk with average risk women, the lifestyle results (BMI, smoking history, exercise and consumption of fruits, vegetables and alcohol) were essentially the same. Lifestyle factors were similar to national population rates and were unlikely to impact risk levels.

Limitations

Study limitations included a high number of self-referrals and the large percentage of patients with a family history of breast cancer, making them more likely to seek screening. The higher-than-average risk of breast cancer may be driven by a high rate of breast biopsies and a strong family history. Lifestyle metrics could not be accurately compared to other national assessments of lifestyle factors due to the difference in data points that we used or the format of our questions.

Conclusions

As the number of women veterans increases and the incidence of breast cancer in women veterans rise, chemoprevention options should follow national guidelines. To our knowledge, this is the only oncology study with 60% Black women veterans. This study had a higher participation rate for Black women veterans than is typically seen in national research studies and shows the VA to be a germane source for further understanding of an understudied population that may benefit from increased screening for breast cancer.

A team-based, multidisciplinary model that meets the unique healthcare needs of women veterans results in a patient-centric delivery of care for assessing breast cancer risk status and prevention options. This model can be replicated nationally by directing primary care physicians and women’s health practitioners to a risk-assessment questionnaire and referring high-risk women for appropriate preventative care. Given that these results show chemoprevention adherence rates doubled those seen nationally, perhaps techniques used within this VA pilot study may be adapted to decrease breast cancer incidence nationally.

Since the rate of PTSD among women veterans is triple the national average, we would expect adherence rates to be lower in our patient cohort. However, the multidisciplinary approach we used in this study (eg, 1:1 consultation with oncologist; genetic counseling referrals; mental health support available), may have improved adherence rates. Perhaps the high rates of PTSD seen in the VA patient population can be a useful way to explore patient adherence rates in those with mental illness and medical conditions.

Future research with a larger cohort may lead to greater insight into the correlation between PTSD and adherence to treatment. Exploring the connection between breast cancer, epigenetics, and specific military service-related exposures could be an area of analysis among this veteran population exhibiting increased breast cancer rates. VAMCs are situated in rural, suburban, and urban locations across the United States and offers a diverse socioeconomic and ethnic patient population for inclusion in clinical investigations. Women veterans make up a small subpopulation of women in the United States, but it is worth considering VA patients as an untapped resource for research collaboration.

Acknowledgements

The authors thank Steven Sanchez and Marissa Vallette, PhD, Breast Health Research Group. This research project was approved by the James J. Peters VA Medical Center Quality Executive Committee and the Washington, DC VA Medical Center Institutional Review Board. This work was supported by the US Department of Veterans Affairs. This work did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Author disclosures

The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

The number of women seeking care from the Veterans Health Administration (VHA) is increasing.¹ In 2015, there were 2 million women veterans in the United States, which is 9.4% of the total veteran population. This group is expected to increase at an average of about 18,000 women per year for the next 10 years.² The percentage of women veterans who are US Department of Veterans Affairs (VA) users aged 45 to 64 years rose 46% from 2000 to 2015.^1,3-4 It is estimated that 15% of veterans who used VA services in 2020 were women.¹ Nineteen percent of women veterans are Black.¹ The median age of women veterans in 2015 was 50 years.⁵ Breast cancer is the leading cancer affecting female veterans, and data suggest they have an increased risk of breast cancer based on unique service-related exposures.^1,6-9

In the US, about 10 million women are eligible for breast cancer preventive therapy, including, but not limited to, medications, surgery, or lifestyle changes.¹⁰ Secondary prevention options include change in surveillance that can reduce their risk or identify cancer at an earlier stage when treatment is more effective. The United States Preventive Services Task Force, the National Comprehensive Cancer Network, the American Society for Clinical Oncology, the National Institute for Health and Care Excellence, and the Oncology Nursing Society recommend screening women aged ≥ 35 years to assess breast cancer risk.^11-18 If a woman is at increased risk, she may be a candidate for chemoprevention, prozphylactic surgery, and possibly an enhanced screening regimen.

Urban and minority women are an understudied population. Most veterans (75%) live in urban or suburban settings.^19,20 Urban veteran women constitute an important potential study population.

Chemoprevention measures have been underused because of factors involving both women and their health care providers. A large proportion of women are unaware of their higher risk status due to lack of adequate screening and risk assessment.^21,22 In addition to patient lack of awareness of their high-risk status, primary care physicians are also reluctant to prescribe chemopreventive agents due to a lack of comfort or familiarity with the risks and benefits.^23-26 The STAR2015, BCPT2005, IBIS2014, MAP3 2011, IBIS-I 2014, and IBIS II 2014 studies clearly demonstrate a 49 to 62% reduction in risk for women using chemoprevention such as selective estrogen receptor modulators or aromatase inhibitors, respectively.^27-32 Yet only 4 to 9% of high-risk women not enrolled in a clinical trial are using chemoprevention.^33-39

The possibility of developing breast cancer also may be increased because of a positive family history or being a member of a family in which there is a known susceptibility gene mutation.⁴⁰ Based on these risk factors, women may be eligible for tailored follow-up and genetic counseling.^41-44

Nationally, 7 to 10% of the civilian US population will experience posttraumatic stress disorder (PTSD).⁴⁵ The rates are remarkably higher for women veterans, with roughly 20% diagnosed with PTSD.^46,47 Anxiety and PTSD have been implicated in poor adherence to medical advice.^48,49

In 2014, a national VA multidisciplinary group focused on breast cancer prevention, detection, treatment, and research to address breast health in the growing population of women veterans. High-risk breast cancer screenings are not routinely carried out by the VA in primary care, women’s health, or oncology services. Furthermore, the recording of screening questionnaire results was not synchronized until a standard questionnaire was created and approved as a template by this group in the VA electronic medical record (EMR) in 2015.

Several prediction models can identify which women are at an increased risk of developing breast cancer. The most commonly used risk assessment model, the Gail breast cancer risk assessment tool (BCRAT), has been refined to include women of additional ethnicities (https://www.cancer.gov/bcrisktool).

This pilot project was launched to identify an effective manner to screen women veterans regarding their risk of developing breast cancer and refer them for chemoprevention education or genetic counseling as appropriate.

Methods

A high-risk breast cancer screening questionnaire based on the Gail BCRAT and including lifestyle questions was developed and included as a note template in the VA EMR. The James J. Peters VA Medical Center, Bronx, NY (JJPVAMC) and the Washington DC VA Medical Center (DCVAMC) ran a pilot study between 2015 and 2018 using this breast cancer screening questionnaire to collect data from women veterans. Quality Executive Committee and institutional review board approvals were granted respectively.

Eligibility criteria included women aged ≥ 35 years with no personal history of breast cancer. Most patients were self-referred, but participants also were recruited during VA Breast Cancer Awareness month events, health fairs, or at informational tables in the hospital lobbies. After completing the 20 multiple choice questionnaire with a study team member, either in person or over the phone, a 5-year and lifetime risk of invasive breast cancer was calculated using the Gail BCRAT. A woman is considered high risk and eligible for chemoprevention if her 5-year risk is > 1.66% or her lifetime risk is ≥ 20%. Eligibility for genetic counseling is based on the Breast Cancer Referral Screening Tool, which includes a personal or family history of breast or ovarian cancer and Jewish ancestry.

All patients were notified of their average or high risk status by a clinician. Those who were deemed to be average risk received a follow-up letter in the mail with instructions (eg, to follow-up with a yearly mammogram). Those who were deemed to be high risk for developing breast cancer were asked to come in for an appointment with the study principal investigator (a VA oncologist/breast cancer specialist) to discuss prevention options, further screening, or referrals to genetic counseling. Depending on a patient’s other health factors, a woman at high risk for developing breast cancer also may be a candidate for chemoprevention with tamoxifen, raloxifene, exemestane, anastrozole, or letrozole.

Data on the participant’s lifestyle, including exercise, diet, and smoking, were evaluated to determine whether these factors had an impact on risk status.

Results

The JJP and DC VAMCs screened 103 women veterans between 2015 and 2018. Four patients were excluded for nonveteran (spousal) status, leaving 99 women veterans with a mean age of 54 years. The most common self-reported races were Black (60%), non-Hispanic White (14%), and Hispanic or Latino (13%) (Table 1).

Women veterans in our study were nearly 3-times more likely than the general population were to receive a high-risk Gail Score/BCRAT (35% vs 13%, respectively).^50,51 Of this subset, 46% had breast biopsies, and 86% had a positive family history. Thirty-one percent of Black women in our study were high risk, while nationally, 8.2 to 13.3% of Black women aged 50 to 59 years are considered high risk.^50,51 Of the Black high-risk group with a high Gail/BCRAT score, 94% had a positive family history, and 33% had a history of breast biopsy (Table 2).

Of the 35 high-risk patients 26 (74%) patients accepted consultations for chemoprevention and 5 (19%) started chemoprevention. Of this high-risk group, 13 (37%) patients were referred for genetic counseling (Table 3).⁴⁴ The prevalence of PTSD was present in 31% of high-risk women and 29% of the cohort (Figure).The lifestyle questions indicated that, among all participants, 79% had an overweight or obese body mass index; 58% exercised weekly; 51% consumed alcohol; 14% were smokers; and 21% consumed 3 to 4 servings of fruits/vegetables daily.

Discussion

Breast cancer is the most common cancer in women.⁵² The number of women with breast cancer in the VHA has more than tripled from 1995 to 2012.¹ The lifetime risk of developing breast cancer in the general population is about 13%.⁵⁰ This rate can be affected by risk factors including age, hormone exposure, family history, radiation exposure, and lifestyle factors, such as weight and alcohol use.^6,52-56 In the United States, invasive breast cancer affects 1 in 8 women.^50,52,57

Our screened population showed nearly 3 times as many women veterans were at an increased risk for breast cancer when compared with historical averages in US women. This difference may be based on a high rate of prior breast biopsies or positive family history, although a provocative study using the Surveillance, Epidemiology, and End Results database showed military women to have higher rates of breast cancer as well.⁹ Historically, Blacks are vastly understudied in clinical research with only 5% representation on a national level.^5,58 The urban locations of both pilot sites (Washington, DC and Bronx, NY) allowed for the inclusion of minority patients in our study. We found that the rates of breast cancer in Black women veterans to be higher than seen nationally, possibly prompting further screening initiatives for this understudied population.

Our pilot study’s chemoprevention utilization (19%) was double the < 10% seen in the national population.^33-35 The presence of a knowledgeable breast health practitioner to recruit study participants and offer personalized counseling to women veterans is a likely factor in overcoming barriers to chemopreventive acceptance. These participants may have been motivated to seek care for their high-risk status given a strong family history and prior breast biopsies.

Interestingly, a 3-fold higher PTSD rate was seen in this pilot population (29%) when compared with PTSD rates in the general female population (7-10%) and still one-third higher than the general population of women veterans (20%).^45-47 Mental health, anxiety, and PTSD have been barriers to patients who sought treatment and have been implicated in poor adherence to medical advice.^48,49 Cancer screening can induce anxiety in patients, and it may be amplified in patients with PTSD. It was remarkable that although adherence with screening recommendations is decreased when PTSD is present, our patient population demonstrated a higher rate of screening adherence.

Women who are seen at the VA often use multiple clinical specialties, and their EMR can be accessed across VA medical centers nationwide. Therefore, identifying women veterans who meet screening criteria is easily attainable within the VA.

When comparing high-risk with average risk women, the lifestyle results (BMI, smoking history, exercise and consumption of fruits, vegetables and alcohol) were essentially the same. Lifestyle factors were similar to national population rates and were unlikely to impact risk levels.

Limitations

Study limitations included a high number of self-referrals and the large percentage of patients with a family history of breast cancer, making them more likely to seek screening. The higher-than-average risk of breast cancer may be driven by a high rate of breast biopsies and a strong family history. Lifestyle metrics could not be accurately compared to other national assessments of lifestyle factors due to the difference in data points that we used or the format of our questions.

Conclusions

As the number of women veterans increases and the incidence of breast cancer in women veterans rise, chemoprevention options should follow national guidelines. To our knowledge, this is the only oncology study with 60% Black women veterans. This study had a higher participation rate for Black women veterans than is typically seen in national research studies and shows the VA to be a germane source for further understanding of an understudied population that may benefit from increased screening for breast cancer.

A team-based, multidisciplinary model that meets the unique healthcare needs of women veterans results in a patient-centric delivery of care for assessing breast cancer risk status and prevention options. This model can be replicated nationally by directing primary care physicians and women’s health practitioners to a risk-assessment questionnaire and referring high-risk women for appropriate preventative care. Given that these results show chemoprevention adherence rates doubled those seen nationally, perhaps techniques used within this VA pilot study may be adapted to decrease breast cancer incidence nationally.

Since the rate of PTSD among women veterans is triple the national average, we would expect adherence rates to be lower in our patient cohort. However, the multidisciplinary approach we used in this study (eg, 1:1 consultation with oncologist; genetic counseling referrals; mental health support available), may have improved adherence rates. Perhaps the high rates of PTSD seen in the VA patient population can be a useful way to explore patient adherence rates in those with mental illness and medical conditions.

Future research with a larger cohort may lead to greater insight into the correlation between PTSD and adherence to treatment. Exploring the connection between breast cancer, epigenetics, and specific military service-related exposures could be an area of analysis among this veteran population exhibiting increased breast cancer rates. VAMCs are situated in rural, suburban, and urban locations across the United States and offers a diverse socioeconomic and ethnic patient population for inclusion in clinical investigations. Women veterans make up a small subpopulation of women in the United States, but it is worth considering VA patients as an untapped resource for research collaboration.

Acknowledgements

The authors thank Steven Sanchez and Marissa Vallette, PhD, Breast Health Research Group. This research project was approved by the James J. Peters VA Medical Center Quality Executive Committee and the Washington, DC VA Medical Center Institutional Review Board. This work was supported by the US Department of Veterans Affairs. This work did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Author disclosures

The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Noninvasive brain stimulation has the potential to boost a patient’s placebo experience or blunt the nocebo experience, according to results of a new study published in the Proceedings of the National Academy of Sciences (PNAS).

“Placebo and nocebo effects are a critical component of clinical care and efficacy studies,” said senior author Jian Kong, MD, associate professor in the department of psychiatry at Massachusetts General Hospital, Charlestown campus. “Harnessing these effects in clinical practice and research could facilitate the development of new pain management methods,” he said. “Healing may involve multiple components: the self-healing properties of the body; the nonspecific effects of treatment (i.e., placebo effect); and the specific effect of a physical or pharmacologic intervention. Therefore, enhancing the placebo effect may ultimately boost the overall therapeutic effect of existing treatment,” he explained, emphasizing that the results are preliminary and should be interpreted with caution.

The authors noted that reducing nocebo effects could also be a major benefit “since patients discontinue prescribed medications, make unnecessary medical visits, and take additional medications to counteract adverse effects that are actually nocebo effects.”


 

Testing the hypothesis

The randomized, double-blind, sham-controlled study used transcranial direct current stimulation (tDCS), which delivers an electrical current to the brain via scalp electrodes. The aim was to see if stimulating the dorsolateral prefrontal cortex with tDCS could alter the brain’s perception of placebo and nocebo experiences.

The study included 81 participants (37 females, mean age: 27.4 years), who were randomized into one of three tDCS groups (anodal, cathodal, or sham).

All participants were first conditioned to believe that an inert cream was either lidocaine or capsaicin and that this cream could either dull the impact of a painful heat stimulus (placebo analgesia) or exacerbate it (nocebo hyperalgesia). Participants were then placed into a functional MRI scanner where tDCS was initiated. Painful stimuli were then applied to spots on their forearms where they believed they had either lidocaine, capsaicin, or a neutral control cream and they rated the pain using the Gracely Sensory Scale.

Placebo analgesia was defined as the difference between perceived pain intensity where participants believed they had lidocaine cream compared with where they believed they had control cream. Nocebo hyperalgesia was defined as the difference between perceived pain intensity where they believed they had capsaicin cream compared with where they believed they had control cream.

The researchers found that compared with sham tDCS, cathodal tDCS showed significant effects in increasing placebo analgesia and brain responses in the ventromedial prefrontal cortex (vmPFC), while anodal tDCS showed significant effects in inhibiting nocebo hyperalgesia and brain responses in the insula.

“The potential to enhance salubrious placebo effects and/or diminish treatment-interfering nocebo effects may have clinical significance,” the authors noted. “For example, clinical studies have suggested that expectancy is positively associated with chronic pain improvement, and using conditioning-like expectancy manipulation, we have shown that significantly boosting expectancy can improve treatment outcome.”
 

Proof of concept

Asked to comment on the study, Brian E. McGeeney, MD, of the John R. Graham Headache Center at Brigham and Women’s Faulkner Hospital in Boston, said “the findings are a proof of concept that it is possible to use noninvasive brain stimulation to modulate placebo and nocebo pain effects.”

Although the findings do not have immediate clinical application, they are “exciting” and “break new ground in expectancy research,” he said.

“It is important to recognize that the researchers are trying to utilize a purported expectancy mechanism rather than attempting to alter placebo/nocebo by verbal and other cues. It remains to be seen whether the manipulation of brief experimental pain like this can translate into altered chronic pain over time, the main clinical goal. Current tDCS therapy for various reasons is necessarily brief and one can ask whether there are meaningful changes from brief stimulation. Such results can foster speculation as to whether direct strategic placement of intracranial stimulation leads could result in more longstanding similar benefits.”

Dr. Kong holds equity in a startup company (MNT) and a pending patent to develop new peripheral neuromodulation tools, but declares no conflict of interest. All other authors declare no conflict of interest.

Noninvasive brain stimulation has the potential to boost a patient’s placebo experience or blunt the nocebo experience, according to results of a new study published in the Proceedings of the National Academy of Sciences (PNAS).

“Placebo and nocebo effects are a critical component of clinical care and efficacy studies,” said senior author Jian Kong, MD, associate professor in the department of psychiatry at Massachusetts General Hospital, Charlestown campus. “Harnessing these effects in clinical practice and research could facilitate the development of new pain management methods,” he said. “Healing may involve multiple components: the self-healing properties of the body; the nonspecific effects of treatment (i.e., placebo effect); and the specific effect of a physical or pharmacologic intervention. Therefore, enhancing the placebo effect may ultimately boost the overall therapeutic effect of existing treatment,” he explained, emphasizing that the results are preliminary and should be interpreted with caution.

The authors noted that reducing nocebo effects could also be a major benefit “since patients discontinue prescribed medications, make unnecessary medical visits, and take additional medications to counteract adverse effects that are actually nocebo effects.”


 

Testing the hypothesis

The randomized, double-blind, sham-controlled study used transcranial direct current stimulation (tDCS), which delivers an electrical current to the brain via scalp electrodes. The aim was to see if stimulating the dorsolateral prefrontal cortex with tDCS could alter the brain’s perception of placebo and nocebo experiences.

The study included 81 participants (37 females, mean age: 27.4 years), who were randomized into one of three tDCS groups (anodal, cathodal, or sham).

All participants were first conditioned to believe that an inert cream was either lidocaine or capsaicin and that this cream could either dull the impact of a painful heat stimulus (placebo analgesia) or exacerbate it (nocebo hyperalgesia). Participants were then placed into a functional MRI scanner where tDCS was initiated. Painful stimuli were then applied to spots on their forearms where they believed they had either lidocaine, capsaicin, or a neutral control cream and they rated the pain using the Gracely Sensory Scale.

Placebo analgesia was defined as the difference between perceived pain intensity where participants believed they had lidocaine cream compared with where they believed they had control cream. Nocebo hyperalgesia was defined as the difference between perceived pain intensity where they believed they had capsaicin cream compared with where they believed they had control cream.

The researchers found that compared with sham tDCS, cathodal tDCS showed significant effects in increasing placebo analgesia and brain responses in the ventromedial prefrontal cortex (vmPFC), while anodal tDCS showed significant effects in inhibiting nocebo hyperalgesia and brain responses in the insula.

“The potential to enhance salubrious placebo effects and/or diminish treatment-interfering nocebo effects may have clinical significance,” the authors noted. “For example, clinical studies have suggested that expectancy is positively associated with chronic pain improvement, and using conditioning-like expectancy manipulation, we have shown that significantly boosting expectancy can improve treatment outcome.”
 

Proof of concept

Asked to comment on the study, Brian E. McGeeney, MD, of the John R. Graham Headache Center at Brigham and Women’s Faulkner Hospital in Boston, said “the findings are a proof of concept that it is possible to use noninvasive brain stimulation to modulate placebo and nocebo pain effects.”

Although the findings do not have immediate clinical application, they are “exciting” and “break new ground in expectancy research,” he said.

“It is important to recognize that the researchers are trying to utilize a purported expectancy mechanism rather than attempting to alter placebo/nocebo by verbal and other cues. It remains to be seen whether the manipulation of brief experimental pain like this can translate into altered chronic pain over time, the main clinical goal. Current tDCS therapy for various reasons is necessarily brief and one can ask whether there are meaningful changes from brief stimulation. Such results can foster speculation as to whether direct strategic placement of intracranial stimulation leads could result in more longstanding similar benefits.”

Dr. Kong holds equity in a startup company (MNT) and a pending patent to develop new peripheral neuromodulation tools, but declares no conflict of interest. All other authors declare no conflict of interest.

Noninvasive brain stimulation has the potential to boost a patient’s placebo experience or blunt the nocebo experience, according to results of a new study published in the Proceedings of the National Academy of Sciences (PNAS).

“Placebo and nocebo effects are a critical component of clinical care and efficacy studies,” said senior author Jian Kong, MD, associate professor in the department of psychiatry at Massachusetts General Hospital, Charlestown campus. “Harnessing these effects in clinical practice and research could facilitate the development of new pain management methods,” he said. “Healing may involve multiple components: the self-healing properties of the body; the nonspecific effects of treatment (i.e., placebo effect); and the specific effect of a physical or pharmacologic intervention. Therefore, enhancing the placebo effect may ultimately boost the overall therapeutic effect of existing treatment,” he explained, emphasizing that the results are preliminary and should be interpreted with caution.

The authors noted that reducing nocebo effects could also be a major benefit “since patients discontinue prescribed medications, make unnecessary medical visits, and take additional medications to counteract adverse effects that are actually nocebo effects.”


 

Testing the hypothesis

The randomized, double-blind, sham-controlled study used transcranial direct current stimulation (tDCS), which delivers an electrical current to the brain via scalp electrodes. The aim was to see if stimulating the dorsolateral prefrontal cortex with tDCS could alter the brain’s perception of placebo and nocebo experiences.

The study included 81 participants (37 females, mean age: 27.4 years), who were randomized into one of three tDCS groups (anodal, cathodal, or sham).

All participants were first conditioned to believe that an inert cream was either lidocaine or capsaicin and that this cream could either dull the impact of a painful heat stimulus (placebo analgesia) or exacerbate it (nocebo hyperalgesia). Participants were then placed into a functional MRI scanner where tDCS was initiated. Painful stimuli were then applied to spots on their forearms where they believed they had either lidocaine, capsaicin, or a neutral control cream and they rated the pain using the Gracely Sensory Scale.

Placebo analgesia was defined as the difference between perceived pain intensity where participants believed they had lidocaine cream compared with where they believed they had control cream. Nocebo hyperalgesia was defined as the difference between perceived pain intensity where they believed they had capsaicin cream compared with where they believed they had control cream.

The researchers found that compared with sham tDCS, cathodal tDCS showed significant effects in increasing placebo analgesia and brain responses in the ventromedial prefrontal cortex (vmPFC), while anodal tDCS showed significant effects in inhibiting nocebo hyperalgesia and brain responses in the insula.

“The potential to enhance salubrious placebo effects and/or diminish treatment-interfering nocebo effects may have clinical significance,” the authors noted. “For example, clinical studies have suggested that expectancy is positively associated with chronic pain improvement, and using conditioning-like expectancy manipulation, we have shown that significantly boosting expectancy can improve treatment outcome.”
 

Proof of concept

Asked to comment on the study, Brian E. McGeeney, MD, of the John R. Graham Headache Center at Brigham and Women’s Faulkner Hospital in Boston, said “the findings are a proof of concept that it is possible to use noninvasive brain stimulation to modulate placebo and nocebo pain effects.”

Although the findings do not have immediate clinical application, they are “exciting” and “break new ground in expectancy research,” he said.

“It is important to recognize that the researchers are trying to utilize a purported expectancy mechanism rather than attempting to alter placebo/nocebo by verbal and other cues. It remains to be seen whether the manipulation of brief experimental pain like this can translate into altered chronic pain over time, the main clinical goal. Current tDCS therapy for various reasons is necessarily brief and one can ask whether there are meaningful changes from brief stimulation. Such results can foster speculation as to whether direct strategic placement of intracranial stimulation leads could result in more longstanding similar benefits.”

Dr. Kong holds equity in a startup company (MNT) and a pending patent to develop new peripheral neuromodulation tools, but declares no conflict of interest. All other authors declare no conflict of interest.

Sexual dysfunction is a common problem among breast cancer survivors, but it’s also an issue inadequately addressed by either ob.gyns. or hematologists and oncologists, according to Erin Keyser, MD, the program director of the San Antonio Uniformed Services Health Education Consortium. Dr. Keyser discussed management of sexual dysfunction and a variety of other issues frequently faced by women who have survived breast cancer at the at the 2021 virtual meeting of the American College of Obstetricians and Gynecologists.

“Despite the fact that no specialty is better qualified to render care for this consequence of cancer treatments, many obstetrician-gynecologists feel uncomfortable or ill-equipped to address sexual pain in women affected by cancer,” Dr. Keyser quoted from a 2016 article in Obstetrics & Gynecology about the sexual health of women affected by cancer. As a breast cancer survivor herself, Dr. Keyser said hematologists and oncologists are even less equipped to discuss sexual health, “so oftentimes patients get punted between their hem-onc and their gyn,” with each telling the patient to ask the other specialist.

“There’s plenty of data in chronic health disease that maintaining sexual function for women is an indicator of the overall quality of life and that many women really don’t want to bring this up,” Dr. Keyser told attendees, so the onus is on the ob.gyn. to bring it up.

The effects of breast cancer treatment can impact women’s body image, fertility, menopause, sexual function, osteoporosis, and cardiovascular disease, but the bulk of Dr. Keyser’s talk focused on sexual health and bilateral salpingo-oophorectomy (BSO).

Lauren Streicher, MD, a clinical professor of obstetrics and gynecology at Northwestern University, Chicago, thought Dr. Keyser’s talk was useful for the general gynecologist but had some concerns about a few parts.

“She gave a very thoughtful analysis of whether someone should have their ovaries removed or not in a breast cancer diagnosis, ” Dr. Streicher said in an interview. “I would have liked to hear more about the consequences of an early menopause in women in terms of heart health, bone health, and cognitive function.”

Dr. Keyser noted that her talk pertained mostly to survivors of estrogen receptor (ER)–positive breast cancer since that population tends to struggle most with side effects of treatment. The most common medications used in this population are tamoxifen and aromatase inhibitors – such as anastrazole, letrozole, and exemestane – and these medications can affect management of different concerns.
 

Current guidance on ovarian removal

For women with a BRCA mutation, ACOG clinical guidance already exists regarding BSO. For other women, the complementary TEXT and SOFT trials changed the management of breast cancer treatment in premenopausal women, Dr. Keyser said.

Before these trials, postmenopausal hormone receptor–positive women began aromatase inhibitors and premenopausal HR-positive women began tamoxifen. These trials found that premenopausal women with HR-positive early breast cancer were less likely to experience recurrence when receiving adjuvant treatment with exemestane plus ovarian suppression compared to tamoxifen plus ovarian suppression. Ovarian suppression was achieved by either GnRH agonist injections, surgical removal of the ovaries, or radiation therapy to the ovaries.

The side effects of these treatments included hot flushes (92%), depression (87%), musculoskeletal symptoms (89%), vaginal dryness (52%), decreased libido (45%), dyspareunia (31%), osteoporosis (39%), insomnia (58%), and fatigue (61%). These are all quality of life concerns, Dr. Keyser said, and these findings raise questions about the consequences of long-term ovarian suppression. Findings from the Nurses’ Health Study showed that BSO before age 47.5 years resulted in lower mortality from ovarian cancer and breast cancer but was linked in women under 50 to increased all-cause mortality and mortality from coronary heart disease, lung cancer, and colorectal cancer, compared with ovarian conservation. Further, 74% of women who undergo risk-reducing BSO experience sexual dysfunction.

The bottom line, Dr. Keyser said, is that “premature removal of ovaries is not completely benign.” Her own recommendation is to follow ACOG guidance for women with BRCA mutations and, for women aged under 35 years, use ovarian suppression for 5-10 years, after which ovarian function may resume along with improved quality of life. In women aged over 40, remove ovaries since, after 5-10 years of treatment, there’s likely no benefit of retaining ovaries.
 

Addressing sexual health

Dyspareunia affects up to 45% of cancer survivors, Dr. Keyser said, and multiple treatment options exist for breast cancer survivors. The therapies she discussed included lubricants, moisturizers, local vaginal estrogen, DHEA, ospemifene, and CO₂ laser therapy.

Though Dr. Keyser briefly touched on vaginal lubricants and moisturizers, Dr. Streicher was disappointed that Dr. Keyser did not clearly define and differentiate between lubricants and moisturizers or mention hyaluronic acid products. Dr. Streicher also disagreed with the way Dr. Keyser represented the benefits of coconut oil as a lubricant. “Oils are not condom compatible and are known to potentially increase the risk of infection, and not just from poor handwashing,” Dr. Streicher said.

Small retrospective studies support the safety of topical vaginal estrogen in breast cancer survivors, Dr. Keyser said, and the 10-mcg Vagifem tablet and vaginal estradiol ring appear to have the lowest systemic absorption. ACOG guidance recommends that women taking aromatase inhibitors who don’t respond to nonhormonal approaches may benefit from switching temporarily to tamoxifen with vaginal estrogen and then returning to aromatase inhibitors. However, Dr. Keyser said there’s plenty of data to support using vaginal estrogen in patients taking aromatase inhibitors.

“I do feel that it’s safe for patients, whether they’re on tamoxifen or aromatase inhibitors, to take vaginal estrogen,” Dr. Keyser said. “I usually stick with the estradiol vaginal ring or the estradiol tablet, and I base that on a patient’s comfort with placing and removing a ring.” She also, instead of asking the patient’s hematologist-oncologist, simply notifies them of the treatment since most hematologist-oncologists are less familiar with the data.

Another effective option is vaginal DHEA/prasterone, which can significantly improve sexual desire, arousal, pain, and overall sexual function. Although breast cancer patients were included in early studies on DHEA, Intrarosa manufacturers excluded breast cancer patients in their Food and Drug Administration application, resulting in a package stating that “use of exogenous estrogen is contraindicated in women with a known or suspected history of breast cancer” and that “Intrarosa has not been studied in women with a history of breast cancer.” While that’s true for Intrarosa specifically, DHEA has been studied in breast cancer patients, Dr. Keyser said, so she expects to see more research in this area.

Ospemifene is another option for improving vulvovaginal atrophy but cannot be taken at the same time as tamoxifen. It has similar chemopreventive effects as tamoxifen in rat studies, but it’s not as effective. It’s a reasonable option in women with refractory genitourinary syndrome of menopause (GSM) who have completed their 5-10 years of adjuvant therapy and have no history of venous thromboembolism.

Dr. Keyser said CO₂ laser therapy is still being studied for treating GSM, and current data have shown benefits for dyspareunia and vaginal dryness without documented harms. There have now been randomized, controlled trials; however, since it’s not FDA approved, it’s not covered by insurance and costs approximately $5,000 for three treatments.

Dr. Streicher was glad to see Dr. Keyser’s discussion of the safety and types of local vaginal estrogen, “although she neglected to mention the 4-mcg vaginal suppository, Imvexxy, which has the lowest systemic absorption,” Dr. Streicher said. Dr. Streicher also felt the inclusion of DHEA/prasterone and ospemifene were also important, especially since the latter is “underutilized in breast cancer patients.”

The information provided on CO₂ laser therapy, however, was problematic, Dr. Streicher said, given that long-term and randomized, controlled studies have now been published. Dr. Streicher also noted that two of the devices listed on the presentation slide, Thermiva and Voltiva, are radiofrequency, not laser devices.

Aside from these treatment options, the most consistent predictor of satisfying sexual experiences in women with breast cancer is the quality of their relationships, Dr. Keyser said, so couples counseling is recommended, and treatments in general are more effective with regularly sexual activity.

In discussing nonhormonal options for treating vasomotor symptoms, Dr. Keyser recommended venlafaxine, gabapentin, and low-dose paroxetine (though SSRIs and tamoxifen are contraindicated since they may reduce tamoxifen’s efficacy).

These are all off label, Dr. Streicher said it was important to note, and she would have liked to have seen a mention of the development of KNdy neurokinin disrupters along with a more in-depth discussion about which lifestyle modifications and botanicals have been shown in randomized, controlled trials to mitigate vasomotor symptoms.

Dr. Keyser wrapped up with a few additional notes and takeaways:

• The only safe reversible long-term option for contraception in HR-positive breast cancer survivors is the Paraguard IUD.
• It’s important to discuss fertility with breast cancer patients and survivors since a majority report unmet needs in this area.
• Patients taking tamoxifen need to be sure to report any vaginal spotting or bleeding since it increases risk of endometrial cancer in postmenopausal women.
• Screen for depression and anxiety.
• Ask women about sexual health and hot flashes.
• Ensure that they’re getting bone screening.
• A recommended resource is Living Beyond Breast Cancer.

Dr. Keyser had no disclosures. Dr. Streicher has consulted for Astellas Pharma and Church & Dwight, and she owns investments in InControl Medical and Sermonix Pharmaceuticals.

Sexual dysfunction is a common problem among breast cancer survivors, but it’s also an issue inadequately addressed by either ob.gyns. or hematologists and oncologists, according to Erin Keyser, MD, the program director of the San Antonio Uniformed Services Health Education Consortium. Dr. Keyser discussed management of sexual dysfunction and a variety of other issues frequently faced by women who have survived breast cancer at the at the 2021 virtual meeting of the American College of Obstetricians and Gynecologists.

“Despite the fact that no specialty is better qualified to render care for this consequence of cancer treatments, many obstetrician-gynecologists feel uncomfortable or ill-equipped to address sexual pain in women affected by cancer,” Dr. Keyser quoted from a 2016 article in Obstetrics & Gynecology about the sexual health of women affected by cancer. As a breast cancer survivor herself, Dr. Keyser said hematologists and oncologists are even less equipped to discuss sexual health, “so oftentimes patients get punted between their hem-onc and their gyn,” with each telling the patient to ask the other specialist.

“There’s plenty of data in chronic health disease that maintaining sexual function for women is an indicator of the overall quality of life and that many women really don’t want to bring this up,” Dr. Keyser told attendees, so the onus is on the ob.gyn. to bring it up.

The effects of breast cancer treatment can impact women’s body image, fertility, menopause, sexual function, osteoporosis, and cardiovascular disease, but the bulk of Dr. Keyser’s talk focused on sexual health and bilateral salpingo-oophorectomy (BSO).

Lauren Streicher, MD, a clinical professor of obstetrics and gynecology at Northwestern University, Chicago, thought Dr. Keyser’s talk was useful for the general gynecologist but had some concerns about a few parts.

“She gave a very thoughtful analysis of whether someone should have their ovaries removed or not in a breast cancer diagnosis, ” Dr. Streicher said in an interview. “I would have liked to hear more about the consequences of an early menopause in women in terms of heart health, bone health, and cognitive function.”

Dr. Keyser noted that her talk pertained mostly to survivors of estrogen receptor (ER)–positive breast cancer since that population tends to struggle most with side effects of treatment. The most common medications used in this population are tamoxifen and aromatase inhibitors – such as anastrazole, letrozole, and exemestane – and these medications can affect management of different concerns.
 

Current guidance on ovarian removal

For women with a BRCA mutation, ACOG clinical guidance already exists regarding BSO. For other women, the complementary TEXT and SOFT trials changed the management of breast cancer treatment in premenopausal women, Dr. Keyser said.

Before these trials, postmenopausal hormone receptor–positive women began aromatase inhibitors and premenopausal HR-positive women began tamoxifen. These trials found that premenopausal women with HR-positive early breast cancer were less likely to experience recurrence when receiving adjuvant treatment with exemestane plus ovarian suppression compared to tamoxifen plus ovarian suppression. Ovarian suppression was achieved by either GnRH agonist injections, surgical removal of the ovaries, or radiation therapy to the ovaries.

The side effects of these treatments included hot flushes (92%), depression (87%), musculoskeletal symptoms (89%), vaginal dryness (52%), decreased libido (45%), dyspareunia (31%), osteoporosis (39%), insomnia (58%), and fatigue (61%). These are all quality of life concerns, Dr. Keyser said, and these findings raise questions about the consequences of long-term ovarian suppression. Findings from the Nurses’ Health Study showed that BSO before age 47.5 years resulted in lower mortality from ovarian cancer and breast cancer but was linked in women under 50 to increased all-cause mortality and mortality from coronary heart disease, lung cancer, and colorectal cancer, compared with ovarian conservation. Further, 74% of women who undergo risk-reducing BSO experience sexual dysfunction.

The bottom line, Dr. Keyser said, is that “premature removal of ovaries is not completely benign.” Her own recommendation is to follow ACOG guidance for women with BRCA mutations and, for women aged under 35 years, use ovarian suppression for 5-10 years, after which ovarian function may resume along with improved quality of life. In women aged over 40, remove ovaries since, after 5-10 years of treatment, there’s likely no benefit of retaining ovaries.
 

Addressing sexual health

Dyspareunia affects up to 45% of cancer survivors, Dr. Keyser said, and multiple treatment options exist for breast cancer survivors. The therapies she discussed included lubricants, moisturizers, local vaginal estrogen, DHEA, ospemifene, and CO₂ laser therapy.

Though Dr. Keyser briefly touched on vaginal lubricants and moisturizers, Dr. Streicher was disappointed that Dr. Keyser did not clearly define and differentiate between lubricants and moisturizers or mention hyaluronic acid products. Dr. Streicher also disagreed with the way Dr. Keyser represented the benefits of coconut oil as a lubricant. “Oils are not condom compatible and are known to potentially increase the risk of infection, and not just from poor handwashing,” Dr. Streicher said.

Small retrospective studies support the safety of topical vaginal estrogen in breast cancer survivors, Dr. Keyser said, and the 10-mcg Vagifem tablet and vaginal estradiol ring appear to have the lowest systemic absorption. ACOG guidance recommends that women taking aromatase inhibitors who don’t respond to nonhormonal approaches may benefit from switching temporarily to tamoxifen with vaginal estrogen and then returning to aromatase inhibitors. However, Dr. Keyser said there’s plenty of data to support using vaginal estrogen in patients taking aromatase inhibitors.

“I do feel that it’s safe for patients, whether they’re on tamoxifen or aromatase inhibitors, to take vaginal estrogen,” Dr. Keyser said. “I usually stick with the estradiol vaginal ring or the estradiol tablet, and I base that on a patient’s comfort with placing and removing a ring.” She also, instead of asking the patient’s hematologist-oncologist, simply notifies them of the treatment since most hematologist-oncologists are less familiar with the data.

Another effective option is vaginal DHEA/prasterone, which can significantly improve sexual desire, arousal, pain, and overall sexual function. Although breast cancer patients were included in early studies on DHEA, Intrarosa manufacturers excluded breast cancer patients in their Food and Drug Administration application, resulting in a package stating that “use of exogenous estrogen is contraindicated in women with a known or suspected history of breast cancer” and that “Intrarosa has not been studied in women with a history of breast cancer.” While that’s true for Intrarosa specifically, DHEA has been studied in breast cancer patients, Dr. Keyser said, so she expects to see more research in this area.

Ospemifene is another option for improving vulvovaginal atrophy but cannot be taken at the same time as tamoxifen. It has similar chemopreventive effects as tamoxifen in rat studies, but it’s not as effective. It’s a reasonable option in women with refractory genitourinary syndrome of menopause (GSM) who have completed their 5-10 years of adjuvant therapy and have no history of venous thromboembolism.

Dr. Keyser said CO₂ laser therapy is still being studied for treating GSM, and current data have shown benefits for dyspareunia and vaginal dryness without documented harms. There have now been randomized, controlled trials; however, since it’s not FDA approved, it’s not covered by insurance and costs approximately $5,000 for three treatments.

Dr. Streicher was glad to see Dr. Keyser’s discussion of the safety and types of local vaginal estrogen, “although she neglected to mention the 4-mcg vaginal suppository, Imvexxy, which has the lowest systemic absorption,” Dr. Streicher said. Dr. Streicher also felt the inclusion of DHEA/prasterone and ospemifene were also important, especially since the latter is “underutilized in breast cancer patients.”

The information provided on CO₂ laser therapy, however, was problematic, Dr. Streicher said, given that long-term and randomized, controlled studies have now been published. Dr. Streicher also noted that two of the devices listed on the presentation slide, Thermiva and Voltiva, are radiofrequency, not laser devices.

Aside from these treatment options, the most consistent predictor of satisfying sexual experiences in women with breast cancer is the quality of their relationships, Dr. Keyser said, so couples counseling is recommended, and treatments in general are more effective with regularly sexual activity.

In discussing nonhormonal options for treating vasomotor symptoms, Dr. Keyser recommended venlafaxine, gabapentin, and low-dose paroxetine (though SSRIs and tamoxifen are contraindicated since they may reduce tamoxifen’s efficacy).

These are all off label, Dr. Streicher said it was important to note, and she would have liked to have seen a mention of the development of KNdy neurokinin disrupters along with a more in-depth discussion about which lifestyle modifications and botanicals have been shown in randomized, controlled trials to mitigate vasomotor symptoms.

Dr. Keyser wrapped up with a few additional notes and takeaways:

• The only safe reversible long-term option for contraception in HR-positive breast cancer survivors is the Paraguard IUD.
• It’s important to discuss fertility with breast cancer patients and survivors since a majority report unmet needs in this area.
• Patients taking tamoxifen need to be sure to report any vaginal spotting or bleeding since it increases risk of endometrial cancer in postmenopausal women.
• Screen for depression and anxiety.
• Ask women about sexual health and hot flashes.
• Ensure that they’re getting bone screening.
• A recommended resource is Living Beyond Breast Cancer.

Dr. Keyser had no disclosures. Dr. Streicher has consulted for Astellas Pharma and Church & Dwight, and she owns investments in InControl Medical and Sermonix Pharmaceuticals.

Sexual dysfunction is a common problem among breast cancer survivors, but it’s also an issue inadequately addressed by either ob.gyns. or hematologists and oncologists, according to Erin Keyser, MD, the program director of the San Antonio Uniformed Services Health Education Consortium. Dr. Keyser discussed management of sexual dysfunction and a variety of other issues frequently faced by women who have survived breast cancer at the at the 2021 virtual meeting of the American College of Obstetricians and Gynecologists.

“Despite the fact that no specialty is better qualified to render care for this consequence of cancer treatments, many obstetrician-gynecologists feel uncomfortable or ill-equipped to address sexual pain in women affected by cancer,” Dr. Keyser quoted from a 2016 article in Obstetrics & Gynecology about the sexual health of women affected by cancer. As a breast cancer survivor herself, Dr. Keyser said hematologists and oncologists are even less equipped to discuss sexual health, “so oftentimes patients get punted between their hem-onc and their gyn,” with each telling the patient to ask the other specialist.

“There’s plenty of data in chronic health disease that maintaining sexual function for women is an indicator of the overall quality of life and that many women really don’t want to bring this up,” Dr. Keyser told attendees, so the onus is on the ob.gyn. to bring it up.

The effects of breast cancer treatment can impact women’s body image, fertility, menopause, sexual function, osteoporosis, and cardiovascular disease, but the bulk of Dr. Keyser’s talk focused on sexual health and bilateral salpingo-oophorectomy (BSO).

Lauren Streicher, MD, a clinical professor of obstetrics and gynecology at Northwestern University, Chicago, thought Dr. Keyser’s talk was useful for the general gynecologist but had some concerns about a few parts.

“She gave a very thoughtful analysis of whether someone should have their ovaries removed or not in a breast cancer diagnosis, ” Dr. Streicher said in an interview. “I would have liked to hear more about the consequences of an early menopause in women in terms of heart health, bone health, and cognitive function.”

Dr. Keyser noted that her talk pertained mostly to survivors of estrogen receptor (ER)–positive breast cancer since that population tends to struggle most with side effects of treatment. The most common medications used in this population are tamoxifen and aromatase inhibitors – such as anastrazole, letrozole, and exemestane – and these medications can affect management of different concerns.
 

Current guidance on ovarian removal

For women with a BRCA mutation, ACOG clinical guidance already exists regarding BSO. For other women, the complementary TEXT and SOFT trials changed the management of breast cancer treatment in premenopausal women, Dr. Keyser said.

Before these trials, postmenopausal hormone receptor–positive women began aromatase inhibitors and premenopausal HR-positive women began tamoxifen. These trials found that premenopausal women with HR-positive early breast cancer were less likely to experience recurrence when receiving adjuvant treatment with exemestane plus ovarian suppression compared to tamoxifen plus ovarian suppression. Ovarian suppression was achieved by either GnRH agonist injections, surgical removal of the ovaries, or radiation therapy to the ovaries.

The side effects of these treatments included hot flushes (92%), depression (87%), musculoskeletal symptoms (89%), vaginal dryness (52%), decreased libido (45%), dyspareunia (31%), osteoporosis (39%), insomnia (58%), and fatigue (61%). These are all quality of life concerns, Dr. Keyser said, and these findings raise questions about the consequences of long-term ovarian suppression. Findings from the Nurses’ Health Study showed that BSO before age 47.5 years resulted in lower mortality from ovarian cancer and breast cancer but was linked in women under 50 to increased all-cause mortality and mortality from coronary heart disease, lung cancer, and colorectal cancer, compared with ovarian conservation. Further, 74% of women who undergo risk-reducing BSO experience sexual dysfunction.

The bottom line, Dr. Keyser said, is that “premature removal of ovaries is not completely benign.” Her own recommendation is to follow ACOG guidance for women with BRCA mutations and, for women aged under 35 years, use ovarian suppression for 5-10 years, after which ovarian function may resume along with improved quality of life. In women aged over 40, remove ovaries since, after 5-10 years of treatment, there’s likely no benefit of retaining ovaries.
 

Addressing sexual health

Dyspareunia affects up to 45% of cancer survivors, Dr. Keyser said, and multiple treatment options exist for breast cancer survivors. The therapies she discussed included lubricants, moisturizers, local vaginal estrogen, DHEA, ospemifene, and CO₂ laser therapy.

Though Dr. Keyser briefly touched on vaginal lubricants and moisturizers, Dr. Streicher was disappointed that Dr. Keyser did not clearly define and differentiate between lubricants and moisturizers or mention hyaluronic acid products. Dr. Streicher also disagreed with the way Dr. Keyser represented the benefits of coconut oil as a lubricant. “Oils are not condom compatible and are known to potentially increase the risk of infection, and not just from poor handwashing,” Dr. Streicher said.

Small retrospective studies support the safety of topical vaginal estrogen in breast cancer survivors, Dr. Keyser said, and the 10-mcg Vagifem tablet and vaginal estradiol ring appear to have the lowest systemic absorption. ACOG guidance recommends that women taking aromatase inhibitors who don’t respond to nonhormonal approaches may benefit from switching temporarily to tamoxifen with vaginal estrogen and then returning to aromatase inhibitors. However, Dr. Keyser said there’s plenty of data to support using vaginal estrogen in patients taking aromatase inhibitors.

“I do feel that it’s safe for patients, whether they’re on tamoxifen or aromatase inhibitors, to take vaginal estrogen,” Dr. Keyser said. “I usually stick with the estradiol vaginal ring or the estradiol tablet, and I base that on a patient’s comfort with placing and removing a ring.” She also, instead of asking the patient’s hematologist-oncologist, simply notifies them of the treatment since most hematologist-oncologists are less familiar with the data.

Another effective option is vaginal DHEA/prasterone, which can significantly improve sexual desire, arousal, pain, and overall sexual function. Although breast cancer patients were included in early studies on DHEA, Intrarosa manufacturers excluded breast cancer patients in their Food and Drug Administration application, resulting in a package stating that “use of exogenous estrogen is contraindicated in women with a known or suspected history of breast cancer” and that “Intrarosa has not been studied in women with a history of breast cancer.” While that’s true for Intrarosa specifically, DHEA has been studied in breast cancer patients, Dr. Keyser said, so she expects to see more research in this area.

Ospemifene is another option for improving vulvovaginal atrophy but cannot be taken at the same time as tamoxifen. It has similar chemopreventive effects as tamoxifen in rat studies, but it’s not as effective. It’s a reasonable option in women with refractory genitourinary syndrome of menopause (GSM) who have completed their 5-10 years of adjuvant therapy and have no history of venous thromboembolism.

Dr. Keyser said CO₂ laser therapy is still being studied for treating GSM, and current data have shown benefits for dyspareunia and vaginal dryness without documented harms. There have now been randomized, controlled trials; however, since it’s not FDA approved, it’s not covered by insurance and costs approximately $5,000 for three treatments.

Dr. Streicher was glad to see Dr. Keyser’s discussion of the safety and types of local vaginal estrogen, “although she neglected to mention the 4-mcg vaginal suppository, Imvexxy, which has the lowest systemic absorption,” Dr. Streicher said. Dr. Streicher also felt the inclusion of DHEA/prasterone and ospemifene were also important, especially since the latter is “underutilized in breast cancer patients.”

The information provided on CO₂ laser therapy, however, was problematic, Dr. Streicher said, given that long-term and randomized, controlled studies have now been published. Dr. Streicher also noted that two of the devices listed on the presentation slide, Thermiva and Voltiva, are radiofrequency, not laser devices.

Aside from these treatment options, the most consistent predictor of satisfying sexual experiences in women with breast cancer is the quality of their relationships, Dr. Keyser said, so couples counseling is recommended, and treatments in general are more effective with regularly sexual activity.

In discussing nonhormonal options for treating vasomotor symptoms, Dr. Keyser recommended venlafaxine, gabapentin, and low-dose paroxetine (though SSRIs and tamoxifen are contraindicated since they may reduce tamoxifen’s efficacy).

These are all off label, Dr. Streicher said it was important to note, and she would have liked to have seen a mention of the development of KNdy neurokinin disrupters along with a more in-depth discussion about which lifestyle modifications and botanicals have been shown in randomized, controlled trials to mitigate vasomotor symptoms.

Dr. Keyser wrapped up with a few additional notes and takeaways:

• The only safe reversible long-term option for contraception in HR-positive breast cancer survivors is the Paraguard IUD.
• It’s important to discuss fertility with breast cancer patients and survivors since a majority report unmet needs in this area.
• Patients taking tamoxifen need to be sure to report any vaginal spotting or bleeding since it increases risk of endometrial cancer in postmenopausal women.
• Screen for depression and anxiety.
• Ask women about sexual health and hot flashes.
• Ensure that they’re getting bone screening.
• A recommended resource is Living Beyond Breast Cancer.

Dr. Keyser had no disclosures. Dr. Streicher has consulted for Astellas Pharma and Church & Dwight, and she owns investments in InControl Medical and Sermonix Pharmaceuticals.

Potential advantages of a neoadjuvant systemic therapy approach including downstaging of the primary breast tumor and axilla, as well the ability to assess tumor response which can have prognostic and adjuvant therapy implications. Samiei and colleagues performed a systematic review and meta-analysis of 33 studies (57,531 patients) in the neoadjuvant setting to assess axillary pathologic complete response (pCR) rates among clinically node-positive breast cancer of various subtypes. HR-negative/HER2-positive subtype was associated with the highest pCR rate (60%) followed by 59% for HER2-positive, 48% for triple-negative, 45% for HR+/HER2-positive, 35% for luminal B, 18% for HR+/HER2-negative, and 13% for luminal A. Achievement of axillary pCR after pre-operative chemotherapy has been associated with improvement in relapse-free survival and overall survival. Furthermore, this data stimulates consideration of less invasive axillary staging in certain patients pending chemotherapy response, and the contribution of breast cancer subtype and impact on outcomes deserves further investigation.

Chemotherapy-induced alopecia (CIA) during breast cancer treatment can affect an individual’s perception of their own appearance, body image, overall health and therefore may impact quality of life. Wang et al performed a meta-analysis including 27 studies with 2,202 participants and demonstrated a 61% effectiveness rate of scalp cooling to protect hair loss. The effectiveness rates of scalp cooling when taxanes and anthracyclines were used alone were higher compared to combination therapy (74% for taxanes, 66% for anthracyclines, and 54% for combination). A prospective study including 139 patients treated with anthracycline chemotherapy for breast cancer receiving scalp cooling found a 43% success rate (hair loss £50%). It is important to consider chemotherapy regimen, side effects (headache, dizziness, pain, nausea), resources and cost when counseling patients regarding scalp cooling. Future studies exploring ways to address these potential challenges will be beneficial to improve patient access and tolerance to scalp cooling.

Obesity is associated with increased risk of various types of cancers, and can have a detrimental effect on cancer prognosis as well as treatment response and tolerance. Potential mechanisms to explain the relationship between obesity, physical activity and breast cancer prognosis include increased levels of sex and metabolic hormones, alteration in adipokine levels, and increased inflammation, oxidative stress and angiogenesis. A retrospective cohort study including 6,481 patients with an initial non-metastatic breast cancer diagnosis, majority of whom were overweight (33.4%) or obese (33.8%), observed increasing BMI (for every 5 kg/m² BMI increase) was associated with an increased risk of second cancer development (7%, RR=1.07; p=0.01), obesity-related cancer (13%, RR=1.13; p<0.001), second breast cancer (11%, RR=1.11; p0.01) and second ER-positive breast cancer (15%, RR1.15; p0.008). There are several ongoing clinical trials that are examining the impact of diet and weight loss interventions on breast cancer outcomes (DIANA-5, B-AHEAD3, Breast Cancer Weight Loss Study). These studies will be key to counseling and empowering patients to address potentially modifiable variables that can positively impact their health.

References:

Kalinsky K, Diamond JR, Vahdat LT, Tolaney SM, Juric D, O’Shaughnessy J, Moroose RL, Mayer IA, Abramson VG, Goldengerg DM, Sharkey RM, Maliakel P, Hong Q, Goswami T, Wegener WA, Bardia A. Sacituzumab govitecan in previously treated hormone receptor-positive/ HER2-negative metastatic breast cancer: final results from a phase I/II, single-arm, basket trial. Ann Oncol. 2020;31:1709-1718.

Mougalian SS, Hernandez M, Lei X, Lynch S, Kuerer HM, Symmans WF, Theriault RL, Fornage BD, Hsu L, Buchholz TA, Sahin AA, Hunt KK, Yang WT, Hortobagyi GN, Valero V. Ten-year outcomes of patients with breast cancer with cytologically confirmed axillary lymph node metastases and pathologic complete response after primary systemic chemotherapy. JAMA Oncol. 2016;2:508-516.

Munzone M, Bagnardi V, Campennì G, Mazzocco K, Pagan E, Tramacere A, Masiero M, Iorfida M, Mazza M, Montagna E, Cancello G, Bianco N, Palazzo A, Cardillo A, Dellapasqua S, Sangalli C, Pettini G, Pravettoni G, Colleoni M, Veronesi P. Preventing chemotherapy-induced alopecia: a prospective clinical trial on the efficacy and safety of a scalp-cooling system in early breast cancer patients treated with anthracyclines. Br J Cancer. 2019;121:325–331.

McTiernan A. Weight, physical activity and breast cancer survival. Proc Nutr Soc. 2018;77:403–411.

Potential advantages of a neoadjuvant systemic therapy approach including downstaging of the primary breast tumor and axilla, as well the ability to assess tumor response which can have prognostic and adjuvant therapy implications. Samiei and colleagues performed a systematic review and meta-analysis of 33 studies (57,531 patients) in the neoadjuvant setting to assess axillary pathologic complete response (pCR) rates among clinically node-positive breast cancer of various subtypes. HR-negative/HER2-positive subtype was associated with the highest pCR rate (60%) followed by 59% for HER2-positive, 48% for triple-negative, 45% for HR+/HER2-positive, 35% for luminal B, 18% for HR+/HER2-negative, and 13% for luminal A. Achievement of axillary pCR after pre-operative chemotherapy has been associated with improvement in relapse-free survival and overall survival. Furthermore, this data stimulates consideration of less invasive axillary staging in certain patients pending chemotherapy response, and the contribution of breast cancer subtype and impact on outcomes deserves further investigation.

Chemotherapy-induced alopecia (CIA) during breast cancer treatment can affect an individual’s perception of their own appearance, body image, overall health and therefore may impact quality of life. Wang et al performed a meta-analysis including 27 studies with 2,202 participants and demonstrated a 61% effectiveness rate of scalp cooling to protect hair loss. The effectiveness rates of scalp cooling when taxanes and anthracyclines were used alone were higher compared to combination therapy (74% for taxanes, 66% for anthracyclines, and 54% for combination). A prospective study including 139 patients treated with anthracycline chemotherapy for breast cancer receiving scalp cooling found a 43% success rate (hair loss £50%). It is important to consider chemotherapy regimen, side effects (headache, dizziness, pain, nausea), resources and cost when counseling patients regarding scalp cooling. Future studies exploring ways to address these potential challenges will be beneficial to improve patient access and tolerance to scalp cooling.

Obesity is associated with increased risk of various types of cancers, and can have a detrimental effect on cancer prognosis as well as treatment response and tolerance. Potential mechanisms to explain the relationship between obesity, physical activity and breast cancer prognosis include increased levels of sex and metabolic hormones, alteration in adipokine levels, and increased inflammation, oxidative stress and angiogenesis. A retrospective cohort study including 6,481 patients with an initial non-metastatic breast cancer diagnosis, majority of whom were overweight (33.4%) or obese (33.8%), observed increasing BMI (for every 5 kg/m² BMI increase) was associated with an increased risk of second cancer development (7%, RR=1.07; p=0.01), obesity-related cancer (13%, RR=1.13; p<0.001), second breast cancer (11%, RR=1.11; p0.01) and second ER-positive breast cancer (15%, RR1.15; p0.008). There are several ongoing clinical trials that are examining the impact of diet and weight loss interventions on breast cancer outcomes (DIANA-5, B-AHEAD3, Breast Cancer Weight Loss Study). These studies will be key to counseling and empowering patients to address potentially modifiable variables that can positively impact their health.

References:

Kalinsky K, Diamond JR, Vahdat LT, Tolaney SM, Juric D, O’Shaughnessy J, Moroose RL, Mayer IA, Abramson VG, Goldengerg DM, Sharkey RM, Maliakel P, Hong Q, Goswami T, Wegener WA, Bardia A. Sacituzumab govitecan in previously treated hormone receptor-positive/ HER2-negative metastatic breast cancer: final results from a phase I/II, single-arm, basket trial. Ann Oncol. 2020;31:1709-1718.

Mougalian SS, Hernandez M, Lei X, Lynch S, Kuerer HM, Symmans WF, Theriault RL, Fornage BD, Hsu L, Buchholz TA, Sahin AA, Hunt KK, Yang WT, Hortobagyi GN, Valero V. Ten-year outcomes of patients with breast cancer with cytologically confirmed axillary lymph node metastases and pathologic complete response after primary systemic chemotherapy. JAMA Oncol. 2016;2:508-516.

Munzone M, Bagnardi V, Campennì G, Mazzocco K, Pagan E, Tramacere A, Masiero M, Iorfida M, Mazza M, Montagna E, Cancello G, Bianco N, Palazzo A, Cardillo A, Dellapasqua S, Sangalli C, Pettini G, Pravettoni G, Colleoni M, Veronesi P. Preventing chemotherapy-induced alopecia: a prospective clinical trial on the efficacy and safety of a scalp-cooling system in early breast cancer patients treated with anthracyclines. Br J Cancer. 2019;121:325–331.

McTiernan A. Weight, physical activity and breast cancer survival. Proc Nutr Soc. 2018;77:403–411.

Potential advantages of a neoadjuvant systemic therapy approach including downstaging of the primary breast tumor and axilla, as well the ability to assess tumor response which can have prognostic and adjuvant therapy implications. Samiei and colleagues performed a systematic review and meta-analysis of 33 studies (57,531 patients) in the neoadjuvant setting to assess axillary pathologic complete response (pCR) rates among clinically node-positive breast cancer of various subtypes. HR-negative/HER2-positive subtype was associated with the highest pCR rate (60%) followed by 59% for HER2-positive, 48% for triple-negative, 45% for HR+/HER2-positive, 35% for luminal B, 18% for HR+/HER2-negative, and 13% for luminal A. Achievement of axillary pCR after pre-operative chemotherapy has been associated with improvement in relapse-free survival and overall survival. Furthermore, this data stimulates consideration of less invasive axillary staging in certain patients pending chemotherapy response, and the contribution of breast cancer subtype and impact on outcomes deserves further investigation.

Chemotherapy-induced alopecia (CIA) during breast cancer treatment can affect an individual’s perception of their own appearance, body image, overall health and therefore may impact quality of life. Wang et al performed a meta-analysis including 27 studies with 2,202 participants and demonstrated a 61% effectiveness rate of scalp cooling to protect hair loss. The effectiveness rates of scalp cooling when taxanes and anthracyclines were used alone were higher compared to combination therapy (74% for taxanes, 66% for anthracyclines, and 54% for combination). A prospective study including 139 patients treated with anthracycline chemotherapy for breast cancer receiving scalp cooling found a 43% success rate (hair loss £50%). It is important to consider chemotherapy regimen, side effects (headache, dizziness, pain, nausea), resources and cost when counseling patients regarding scalp cooling. Future studies exploring ways to address these potential challenges will be beneficial to improve patient access and tolerance to scalp cooling.

Obesity is associated with increased risk of various types of cancers, and can have a detrimental effect on cancer prognosis as well as treatment response and tolerance. Potential mechanisms to explain the relationship between obesity, physical activity and breast cancer prognosis include increased levels of sex and metabolic hormones, alteration in adipokine levels, and increased inflammation, oxidative stress and angiogenesis. A retrospective cohort study including 6,481 patients with an initial non-metastatic breast cancer diagnosis, majority of whom were overweight (33.4%) or obese (33.8%), observed increasing BMI (for every 5 kg/m² BMI increase) was associated with an increased risk of second cancer development (7%, RR=1.07; p=0.01), obesity-related cancer (13%, RR=1.13; p<0.001), second breast cancer (11%, RR=1.11; p0.01) and second ER-positive breast cancer (15%, RR1.15; p0.008). There are several ongoing clinical trials that are examining the impact of diet and weight loss interventions on breast cancer outcomes (DIANA-5, B-AHEAD3, Breast Cancer Weight Loss Study). These studies will be key to counseling and empowering patients to address potentially modifiable variables that can positively impact their health.

References:

Kalinsky K, Diamond JR, Vahdat LT, Tolaney SM, Juric D, O’Shaughnessy J, Moroose RL, Mayer IA, Abramson VG, Goldengerg DM, Sharkey RM, Maliakel P, Hong Q, Goswami T, Wegener WA, Bardia A. Sacituzumab govitecan in previously treated hormone receptor-positive/ HER2-negative metastatic breast cancer: final results from a phase I/II, single-arm, basket trial. Ann Oncol. 2020;31:1709-1718.

Mougalian SS, Hernandez M, Lei X, Lynch S, Kuerer HM, Symmans WF, Theriault RL, Fornage BD, Hsu L, Buchholz TA, Sahin AA, Hunt KK, Yang WT, Hortobagyi GN, Valero V. Ten-year outcomes of patients with breast cancer with cytologically confirmed axillary lymph node metastases and pathologic complete response after primary systemic chemotherapy. JAMA Oncol. 2016;2:508-516.

Munzone M, Bagnardi V, Campennì G, Mazzocco K, Pagan E, Tramacere A, Masiero M, Iorfida M, Mazza M, Montagna E, Cancello G, Bianco N, Palazzo A, Cardillo A, Dellapasqua S, Sangalli C, Pettini G, Pravettoni G, Colleoni M, Veronesi P. Preventing chemotherapy-induced alopecia: a prospective clinical trial on the efficacy and safety of a scalp-cooling system in early breast cancer patients treated with anthracyclines. Br J Cancer. 2019;121:325–331.

McTiernan A. Weight, physical activity and breast cancer survival. Proc Nutr Soc. 2018;77:403–411.

Sharing their personal experiences on social media can emphasize oncologists’ humanity and have substantive, beneficial effects on patient care, according to a presentation at the Collaboration for Outcomes using Social Media in Oncology (COSMO) inaugural meeting.

Mark A. Lewis, MD, explained to the COSMO meeting audience how storytelling on social media can educate and engage patients, advocates, and professional colleagues – advancing knowledge, dispelling misinformation, and promoting clinical research.

Dr. Lewis, an oncologist at Intermountain Healthcare in Salt Lake City, reflected on the bifid roles of oncologists as scientists engaged in life-long learning and humanists who can internalize and appreciate the unique character and circumstances of their patients.

Patients who have serious illnesses are necessarily aggregated by statistics. However, in an essay published in 2011, Dr. Lewis noted that “each individual patient partakes in a unique, irreproducible experiment where n = 1” (J Clin Oncol. 2011 Aug 1;29[22]:3103-4).

Dr. Lewis highlighted the duality of individual data points on a survival curve as descriptors of common disease trajectories and treatment effects. However, those data points also conceal important narratives regarding the most highly valued aspects of the doctor-patient relationship and the impact of cancer treatment on patients’ lives.

In referring to the futuristic essay “Ars Brevis,” Dr. Lewis contrasted the humanism of oncology specialists in the present day with the fictional image of data-regurgitating robots programmed to maximize the efficiency of each patient encounter (J Clin Oncol. 2013 May 10;31[14]:1792-4).

Dr. Lewis reminded attendees that to practice medicine without using both “head and heart” undermines the inherent nature of medical care.

Unfortunately, that perspective may not match the public perception of oncologists. Dr. Lewis described his experience of typing “oncologists are” into an Internet search engine and seeing the auto-complete function prompt words such as “criminals,” “evil,” “murderers,” and “confused.”

Obviously, it is hard to establish a trusting patient-doctor relationship if that is the prima facie perception of the oncology specialty.
 

Dispelling myths and creating community via social media

A primary goal of consultation with a newly-diagnosed cancer patient is for the patient to feel that the oncologist will be there to take care of them, regardless of what the future holds.

Dr. Lewis has found that social media can potentially extend that feeling to a global community of patients, caregivers, and others seeking information relevant to a cancer diagnosis. He believes that oncologists have an opportunity to dispel myths and fears by being attentive to the real-life concerns of patients.

Dr. Lewis took advantage of this opportunity when he underwent a Whipple procedure (pancreaticoduodenectomy) for a pancreatic neuroendocrine tumor. He and the hospital’s media services staff “live-tweeted” his surgery and recovery.

With those tweets, Dr. Lewis demystified each step of a major surgical procedure. From messages he received on social media, Dr. Lewis knows he made the decision to have a Whipple procedure more acceptable to other patients.

His personal medical experience notwithstanding, Dr. Lewis acknowledged that every patient’s circumstances are unique.

Oncologists cannot possibly empathize with every circumstance. However, when they show sensitivity to personal elements of the cancer experience, they shed light on the complicated role they play in patient care and can facilitate good decision-making among patients across the globe.
 

Social media for professional development and patient care

The publication of his 2011 essay was gratifying for Dr. Lewis, but the finite number of comments he received thereafter illustrated the rather limited audience that traditional academic publications have and the laborious process for subsequent interaction (J Clin Oncol. 2011 Aug 1;29[22]:3103-4).

First as an observer and later as a participant on social media, Dr. Lewis appreciated that teaching points and publications can be amplified by global distribution and the potential for informal bidirectional communication.

Social media platforms enable physicians to connect with a larger audience through participative communication, in which users develop, share, and react to content (N Engl J Med. 2009 Aug 13;361[7]:649-51).

Dr. Lewis reflected on how oncologists are challenged to sort through the thousands of oncology-focused publications annually. Through social media, one can see the studies on which the experts are commenting and appreciate the nuances that contextualize the results. Focused interactions with renowned doctors, at regular intervals, require little formality.

Online journal clubs enable the sharing of ideas, opinions, multimedia resources, and references across institutional and international borders (J Gen Intern Med. 2014 Oct;29[10]:1317-8).
 

Social media in oncology: Accomplishments and promise

The development of broadband Internet, wireless connectivity, and social media for peer-to-peer and general communication are among the major technological advances that have transformed medical communication.

As an organization, COSMO aims to describe, understand, and improve the use of social media to increase the penetration of evidence-based guidelines and research insights into clinical practice (Future Oncol. 2017 Jun;13[15]:1281-5).

At the inaugural COSMO meeting, areas of progress since COSMO’s inception in 2015 were highlighted, including:

• The involvement of cancer professionals and advocates in multiple distinctive platforms.
• The development of hashtag libraries to aggregate interest groups and topics.
• The refinement of strategies for engaging advocates with attention to inclusiveness.
• A steady trajectory of growth in tweeting at scientific conferences.

An overarching theme of the COSMO meeting was “authenticity,” a virtue that is easy to admire but requires conscious, consistent effort to achieve.

Disclosure of conflicts of interest and avoiding using social media simply as a recruitment tool for clinical trials are basic components of accurate self-representation.

In addition, Dr. Lewis advocated for sharing personal experiences in a component of social media posts so oncologists can show humanity as a feature of their professional online identity and inherent nature.

Dr. Lewis disclosed consultancy with Medscape/WebMD, which are owned by the same parent company as MDedge. He also disclosed relationships with Foundation Medicine, Natera, Exelixis, QED, HalioDX, and Ipsen.


Dr. Lyss was a community-based medical oncologist and clinical researcher for more than 35 years before his recent retirement. His clinical and research interests were focused on breast and lung cancers, as well as expanding clinical trial access to medically underserved populations. He is based in St. Louis. He has no conflicts of interest.

Sharing their personal experiences on social media can emphasize oncologists’ humanity and have substantive, beneficial effects on patient care, according to a presentation at the Collaboration for Outcomes using Social Media in Oncology (COSMO) inaugural meeting.

Mark A. Lewis, MD, explained to the COSMO meeting audience how storytelling on social media can educate and engage patients, advocates, and professional colleagues – advancing knowledge, dispelling misinformation, and promoting clinical research.

Dr. Lewis, an oncologist at Intermountain Healthcare in Salt Lake City, reflected on the bifid roles of oncologists as scientists engaged in life-long learning and humanists who can internalize and appreciate the unique character and circumstances of their patients.

Patients who have serious illnesses are necessarily aggregated by statistics. However, in an essay published in 2011, Dr. Lewis noted that “each individual patient partakes in a unique, irreproducible experiment where n = 1” (J Clin Oncol. 2011 Aug 1;29[22]:3103-4).

Dr. Lewis highlighted the duality of individual data points on a survival curve as descriptors of common disease trajectories and treatment effects. However, those data points also conceal important narratives regarding the most highly valued aspects of the doctor-patient relationship and the impact of cancer treatment on patients’ lives.

In referring to the futuristic essay “Ars Brevis,” Dr. Lewis contrasted the humanism of oncology specialists in the present day with the fictional image of data-regurgitating robots programmed to maximize the efficiency of each patient encounter (J Clin Oncol. 2013 May 10;31[14]:1792-4).

Dr. Lewis reminded attendees that to practice medicine without using both “head and heart” undermines the inherent nature of medical care.

Unfortunately, that perspective may not match the public perception of oncologists. Dr. Lewis described his experience of typing “oncologists are” into an Internet search engine and seeing the auto-complete function prompt words such as “criminals,” “evil,” “murderers,” and “confused.”

Obviously, it is hard to establish a trusting patient-doctor relationship if that is the prima facie perception of the oncology specialty.
 

Dispelling myths and creating community via social media

A primary goal of consultation with a newly-diagnosed cancer patient is for the patient to feel that the oncologist will be there to take care of them, regardless of what the future holds.

Dr. Lewis has found that social media can potentially extend that feeling to a global community of patients, caregivers, and others seeking information relevant to a cancer diagnosis. He believes that oncologists have an opportunity to dispel myths and fears by being attentive to the real-life concerns of patients.

Dr. Lewis took advantage of this opportunity when he underwent a Whipple procedure (pancreaticoduodenectomy) for a pancreatic neuroendocrine tumor. He and the hospital’s media services staff “live-tweeted” his surgery and recovery.

With those tweets, Dr. Lewis demystified each step of a major surgical procedure. From messages he received on social media, Dr. Lewis knows he made the decision to have a Whipple procedure more acceptable to other patients.

His personal medical experience notwithstanding, Dr. Lewis acknowledged that every patient’s circumstances are unique.

Oncologists cannot possibly empathize with every circumstance. However, when they show sensitivity to personal elements of the cancer experience, they shed light on the complicated role they play in patient care and can facilitate good decision-making among patients across the globe.
 

Social media for professional development and patient care

The publication of his 2011 essay was gratifying for Dr. Lewis, but the finite number of comments he received thereafter illustrated the rather limited audience that traditional academic publications have and the laborious process for subsequent interaction (J Clin Oncol. 2011 Aug 1;29[22]:3103-4).

First as an observer and later as a participant on social media, Dr. Lewis appreciated that teaching points and publications can be amplified by global distribution and the potential for informal bidirectional communication.

Social media platforms enable physicians to connect with a larger audience through participative communication, in which users develop, share, and react to content (N Engl J Med. 2009 Aug 13;361[7]:649-51).

Dr. Lewis reflected on how oncologists are challenged to sort through the thousands of oncology-focused publications annually. Through social media, one can see the studies on which the experts are commenting and appreciate the nuances that contextualize the results. Focused interactions with renowned doctors, at regular intervals, require little formality.

Online journal clubs enable the sharing of ideas, opinions, multimedia resources, and references across institutional and international borders (J Gen Intern Med. 2014 Oct;29[10]:1317-8).
 

Social media in oncology: Accomplishments and promise

The development of broadband Internet, wireless connectivity, and social media for peer-to-peer and general communication are among the major technological advances that have transformed medical communication.

As an organization, COSMO aims to describe, understand, and improve the use of social media to increase the penetration of evidence-based guidelines and research insights into clinical practice (Future Oncol. 2017 Jun;13[15]:1281-5).

At the inaugural COSMO meeting, areas of progress since COSMO’s inception in 2015 were highlighted, including:

• The involvement of cancer professionals and advocates in multiple distinctive platforms.
• The development of hashtag libraries to aggregate interest groups and topics.
• The refinement of strategies for engaging advocates with attention to inclusiveness.
• A steady trajectory of growth in tweeting at scientific conferences.

An overarching theme of the COSMO meeting was “authenticity,” a virtue that is easy to admire but requires conscious, consistent effort to achieve.

Disclosure of conflicts of interest and avoiding using social media simply as a recruitment tool for clinical trials are basic components of accurate self-representation.

In addition, Dr. Lewis advocated for sharing personal experiences in a component of social media posts so oncologists can show humanity as a feature of their professional online identity and inherent nature.

Dr. Lewis disclosed consultancy with Medscape/WebMD, which are owned by the same parent company as MDedge. He also disclosed relationships with Foundation Medicine, Natera, Exelixis, QED, HalioDX, and Ipsen.


Dr. Lyss was a community-based medical oncologist and clinical researcher for more than 35 years before his recent retirement. His clinical and research interests were focused on breast and lung cancers, as well as expanding clinical trial access to medically underserved populations. He is based in St. Louis. He has no conflicts of interest.

Sharing their personal experiences on social media can emphasize oncologists’ humanity and have substantive, beneficial effects on patient care, according to a presentation at the Collaboration for Outcomes using Social Media in Oncology (COSMO) inaugural meeting.

Mark A. Lewis, MD, explained to the COSMO meeting audience how storytelling on social media can educate and engage patients, advocates, and professional colleagues – advancing knowledge, dispelling misinformation, and promoting clinical research.

Dr. Lewis, an oncologist at Intermountain Healthcare in Salt Lake City, reflected on the bifid roles of oncologists as scientists engaged in life-long learning and humanists who can internalize and appreciate the unique character and circumstances of their patients.

Patients who have serious illnesses are necessarily aggregated by statistics. However, in an essay published in 2011, Dr. Lewis noted that “each individual patient partakes in a unique, irreproducible experiment where n = 1” (J Clin Oncol. 2011 Aug 1;29[22]:3103-4).

Dr. Lewis highlighted the duality of individual data points on a survival curve as descriptors of common disease trajectories and treatment effects. However, those data points also conceal important narratives regarding the most highly valued aspects of the doctor-patient relationship and the impact of cancer treatment on patients’ lives.

In referring to the futuristic essay “Ars Brevis,” Dr. Lewis contrasted the humanism of oncology specialists in the present day with the fictional image of data-regurgitating robots programmed to maximize the efficiency of each patient encounter (J Clin Oncol. 2013 May 10;31[14]:1792-4).

Dr. Lewis reminded attendees that to practice medicine without using both “head and heart” undermines the inherent nature of medical care.

Unfortunately, that perspective may not match the public perception of oncologists. Dr. Lewis described his experience of typing “oncologists are” into an Internet search engine and seeing the auto-complete function prompt words such as “criminals,” “evil,” “murderers,” and “confused.”

Obviously, it is hard to establish a trusting patient-doctor relationship if that is the prima facie perception of the oncology specialty.
 

Dispelling myths and creating community via social media

A primary goal of consultation with a newly-diagnosed cancer patient is for the patient to feel that the oncologist will be there to take care of them, regardless of what the future holds.

Dr. Lewis has found that social media can potentially extend that feeling to a global community of patients, caregivers, and others seeking information relevant to a cancer diagnosis. He believes that oncologists have an opportunity to dispel myths and fears by being attentive to the real-life concerns of patients.

Dr. Lewis took advantage of this opportunity when he underwent a Whipple procedure (pancreaticoduodenectomy) for a pancreatic neuroendocrine tumor. He and the hospital’s media services staff “live-tweeted” his surgery and recovery.

With those tweets, Dr. Lewis demystified each step of a major surgical procedure. From messages he received on social media, Dr. Lewis knows he made the decision to have a Whipple procedure more acceptable to other patients.

His personal medical experience notwithstanding, Dr. Lewis acknowledged that every patient’s circumstances are unique.

Oncologists cannot possibly empathize with every circumstance. However, when they show sensitivity to personal elements of the cancer experience, they shed light on the complicated role they play in patient care and can facilitate good decision-making among patients across the globe.
 

Social media for professional development and patient care

The publication of his 2011 essay was gratifying for Dr. Lewis, but the finite number of comments he received thereafter illustrated the rather limited audience that traditional academic publications have and the laborious process for subsequent interaction (J Clin Oncol. 2011 Aug 1;29[22]:3103-4).

First as an observer and later as a participant on social media, Dr. Lewis appreciated that teaching points and publications can be amplified by global distribution and the potential for informal bidirectional communication.

Social media platforms enable physicians to connect with a larger audience through participative communication, in which users develop, share, and react to content (N Engl J Med. 2009 Aug 13;361[7]:649-51).

Dr. Lewis reflected on how oncologists are challenged to sort through the thousands of oncology-focused publications annually. Through social media, one can see the studies on which the experts are commenting and appreciate the nuances that contextualize the results. Focused interactions with renowned doctors, at regular intervals, require little formality.

Online journal clubs enable the sharing of ideas, opinions, multimedia resources, and references across institutional and international borders (J Gen Intern Med. 2014 Oct;29[10]:1317-8).
 

Social media in oncology: Accomplishments and promise

The development of broadband Internet, wireless connectivity, and social media for peer-to-peer and general communication are among the major technological advances that have transformed medical communication.

As an organization, COSMO aims to describe, understand, and improve the use of social media to increase the penetration of evidence-based guidelines and research insights into clinical practice (Future Oncol. 2017 Jun;13[15]:1281-5).

At the inaugural COSMO meeting, areas of progress since COSMO’s inception in 2015 were highlighted, including:

• The involvement of cancer professionals and advocates in multiple distinctive platforms.
• The development of hashtag libraries to aggregate interest groups and topics.
• The refinement of strategies for engaging advocates with attention to inclusiveness.
• A steady trajectory of growth in tweeting at scientific conferences.

An overarching theme of the COSMO meeting was “authenticity,” a virtue that is easy to admire but requires conscious, consistent effort to achieve.

Disclosure of conflicts of interest and avoiding using social media simply as a recruitment tool for clinical trials are basic components of accurate self-representation.

In addition, Dr. Lewis advocated for sharing personal experiences in a component of social media posts so oncologists can show humanity as a feature of their professional online identity and inherent nature.

Dr. Lewis disclosed consultancy with Medscape/WebMD, which are owned by the same parent company as MDedge. He also disclosed relationships with Foundation Medicine, Natera, Exelixis, QED, HalioDX, and Ipsen.


Dr. Lyss was a community-based medical oncologist and clinical researcher for more than 35 years before his recent retirement. His clinical and research interests were focused on breast and lung cancers, as well as expanding clinical trial access to medically underserved populations. He is based in St. Louis. He has no conflicts of interest.