Prognostic Value of Fibroblast Growth Factor Receptor Genetic Alterations in Metastatic Urothelial Carcinoma.

INTRODUCTION: Evidence is limited on whether fibroblast growth factor receptor gene alterations (FGFRalt) impact clinical outcomes in patients with locally advanced or metastatic urothelial cancer (mUC). This study evaluated progression-free survival (PFS) in patients with mUC based on FGFRalt status in the first-line setting (1L). PATIENTS AND METHODS: Data on mUC patients were retrieved via convenience sampling of oncologists/urologists surveyed between August and September 2020 who treated at least 1 FGFRalt patient between July 2017 and June 2019. The questionnaire included information on patient demographics, FGFR status, treatment, and clinical and radiographic measures of progression. Primary endpoint was time from metastatic diagnosis to disease progression from initial treatment for FGFRalt and FGFRwt (wild-type) mUC. Cox proportional hazards models quantified adjusted risk of FGFR status relating to PFS. RESULTS: A total of 414 patients were analyzed. Mean age was 64.5 years, 73.9% were male, and 52.7% had an FGFRalt. Among FGFRalt, 47.2% received chemotherapy, 27.5% immune checkpoint inhibition (ICI), 11.5% chemotherapy+ICI, and 13.8% other treatments in 1L. FGFR status did not influence PFS from time of mUC diagnosis or among 224 stratified patients receiving either chemotherapy or chemotherapy+ICI. However, among 97 patients with an FGFRalt receiving 1L ICI therapy only, adjusted risk of progression was twice that of FGFRwt (HR: 2.12; 95% CI: 1.13-4.00). CONCLUSION: Although FGFRalt did not predict outcomes in the overall cohort, for patients treated with 1L ICI, FGFRalt had significantly higher rates of progression than FGFRwt patients. Further validation is needed to determine whether FGFRalt has a decreased benefit from ICI therapy.

Impact of the COVID-19 pandemic on the management of risk factors in patients with stable atherosclerotic vascular disease.

Background: Effective control of risk factors in patients with ASCVD is important to reduce recurrent cardiovascular events. However, many ASCVD patients do not have their risk factors controlled, and this may have worsened during the COVID-19 pandemic. Methods: We retrospectively evaluated risk factor control among 24,760 ASCVD patients who had at least 1 outpatient encounter both pre-pandemic and during the first year of the pandemic. Risk factors were uncontrolled if the blood pressure (BP) ≥ 130/80 mm Hg, LDL-C ≥ 70 mg/dL, HgbA1c ≥ 7 for diabetic patients, and patients were current smokers. Results: During the pandemic, many patients had their risk factors unmonitored. BP control worsened (BP ≥ 130/80 mmHg, 64.2 vs 65.7%; p = 0.01), while lipid management improved with more patients on a high-intensity statin (38.9 vs 43.9%; p<0.001) and more achieving an LDL-C < 70 mg/dL, less patients were smoking (7.4 vs 6.7%; p<0.001), and diabetic control was unchanged pre vs during the pandemic. Black (OR 1.53 [1.02-2.31]) and younger aged patients (OR 1.008 [1.001-1.015]) were significantly more likely to have missing or uncontrolled risk factors during the pandemic. Conclusions: During the pandemic risk factors were more likely to be unmonitored. While measured blood pressure control worsened, lipid control and smoking improved. Although some cardiovascular risk factor control improved during the COVID-19 pandemic, overall control of cardiovascular risk factors in patients with ASCVD was suboptimal, especially in Black and younger patients. This puts many ASCVD patients at increased risk of a recurrent cardiovascular event.

External validation of the COVID-19 4C mortality score in an urban United States cohort.

BACKGROUND: Identifying patients at risk for mortality from COVID-19 is crucial to triage, clinical decision-making, and the allocation of scarce hospital resources. The 4C Mortality Score effectively predicts COVID-19 mortality, but it has not been validated in a United States (U.S.) population. The purpose of this study is to determine whether the 4C Mortality Score accurately predicts COVID-19 mortality in an urban U.S. adult inpatient population. METHODS: This retrospective cohort study included adult patients admitted to a single-center, tertiary care hospital (Philadelphia, PA) with a positive SARS-CoV-2 PCR from 3/01/2020 to 6/06/2020. Variables were extracted through a combination of automated export and manual chart review. The outcome of interest was mortality during hospital admission or within 30 days of discharge. RESULTS: This study included 426 patients; mean age was 64.4 years, 43.4% were female, and 54.5% self-identified as Black or African American. All-cause mortality was observed in 71 patients (16.7%). The area under the receiver operator characteristic curve of the 4C Mortality Score was 0.85 (95% confidence interval, 0.79-0.89). CONCLUSIONS: Clinicians may use the 4C Mortality Score in an urban, majority Black, U.S. inpatient population. The derivation and validation cohorts were treated in the pre-vaccine era so the 4C Score may over-predict mortality in current patient populations. With stubbornly high inpatient mortality rates, however, the 4C Score remains one of the best tools available to date to inform thoughtful triage and treatment allocation.

Nurses' pandemic lives: A mixed-methods study of experiences during COVID-19.

BACKGROUND: The US healthcare settings and staff have been stretched to capacity by the COVID-19 pandemic. While COVID-19 continues to threaten global healthcare delivery systems and populations, its impact on nursing has been profound. OBJECTIVES: This study aimed to document nurses' immediate reactions, major stressors, effective measures to reduce stress, coping strategies, and motivators as they provided care during COVID-19. DESIGN: Mixed-methods, cross sectional design. Participants responded to objective and open-ended questions on the COVID-19 Nurses' Survey. PARTICIPANTS: The survey, was sent to nurses employed in health care settings during the pandemic; 110 nurses participated. RESULTS: Immediate reactions of respondents were nervousness and call of duty; major stressors were uncertainty, inflicting the virus on family, lack of personal protective equipment (PPE), and protocol inconsistencies. Effective measures to reduce stress identified were financial incentives and mental health support. Most frequently used coping strategies were limiting televised news about the virus, talking with family and friends, and information, Motivators to participate in future care included having adequate PPE and sense of duty. Bivariate analysis of outcomes by age group, education, work setting, and marital status was performed. Nurse respondents with higher advanced degrees had significantly less fear than those with BSN-only degrees (p < .05).Of respondents who were married/living with a partner, 85.9% listing "uncertainty about when the pandemic will be under control" as a major stressor (p < .05), while 62.8% of those who were single/divorced/widowed (p = .015) did so. Further, 75% of respondents working in critical care listed "mental health services" as important (p = .054). Four major qualitative themes emerged: What is going on here?; How much worse can this get?; What do I do now?; What motivates me to do future work? CONCLUSION: The study found nurses were motivated by ethical duty to care for patients with COVID-19 despite risk to self and family, leaving nurses vulnerable to moral distress and burnout. This research articulates the need for psychological support, self- care initiatives, adequate protection, information, and process improvements in the healthcare systems to reduce the risk of moral distress, injury and burnout among nurses.

Using Health Plan Authorization Data to Predict Hospitalizations and Readmissions in a Combined Commercial and Medicaid Population.

Health plans develop predictive models to predict key clinical events (eg, admissions, readmissions, emergency department visits). The authors developed predictive models of admissions and readmissions for a quality improvement organization with many large government and private health plan clients. Its membership and authorization data were used to develop models predicting 2019 inpatient stays, and 2019 readmissions following 2019 admissions, based on patients' age and sex, diagnoses identified and procedures requested in 2018 authorizations, and 2018 admission authorizations. In addition to testing multivariate models, risk scores were calculated for admission and readmission for all patients in the model. The admissions model (C = 0.8491) is much more accurate than the readmissions model (C = 0.6237). Measures of risk score central tendency and skewness indicate that the vast majority of members had little risk of hospitalization in 2019; the mean (standard deviation) was 0.042 (0.074), and the median was 0.018. These risk scores can be used to identify members at risk of admission and to support proactive risk management (eg, design of health management programs). Different risk thresholds can be used to identify different subsets of members for follow-up, depending on overall strategy and available resources. This model development project was novel in employing authorization data rather than utilization data. Advantages of authorization data are their timeliness, and the fact that they are sometimes the only data available, but disadvantages of authorization data are that authorized services are not always actually performed, and diagnoses are often "rule out" rather than final diagnoses.

Clinical Transformation in Care for Patients With Sickle Cell Disease at an Urban Academic Medical Center.

This article demonstrates effects on utilization of a clinical transformation: changing locus of care from a dedicated sickle cell day unit to an approach that "fast-tracks" patients through the emergency department (ED) into an observation unit with 24/7 access. Retrospective quantitative analyses of claims and Epic electronic medical record data for patients with sickle cell disease treated at Thomas Jefferson University (inpatient and ED) assessed effects of the clinical transformation. Additionally, case studies were conducted to confirm and deepen the quantitative analyses. This study was approved by the Thomas Jefferson University Institutional Review Board. The quantitative analyses show significant decreases in ED and inpatient utilization following the transformation. These effects likely were facilitated by increased observation stays. This study demonstrated the impact on utilization of transformation in care (from dedicated day unit to an approach that fast-tracks patients into an observation unit). Additional case studies support the quantitative findings.

Use of Postdischarge Emergency Medical Services to Reduce Hospital Readmissions: Does It Work and Is It Economically Feasible?

A new model of community health delivery has utilized emergency medical services (EMS) to manage care transitions and provide chronic care services in patients' homes. The authors performed a retrospective, case-controlled analysis of a quality improvement project that examined whether an EMS home visit to recently discharged inpatients from the zip code where EMS provides services can reduce 30-day unscheduled ED visits and hospital readmissions. Additionally, the financial impact from the perspective of the community-based EMS provider and the community hospital from which patients were discharged was examined. A total of 53 patients and 53 controls were matched on the following variables: readmission risk score, age, sex, insurance status, and case management intervention. Patients who received the intervention had a 44% relative reduction of 30-day ED visits (17% vs 24.5%, P = 0.3381) and a 28.4% relative reduction in 30-day readmissions (18.9% vs 26.4%, P = 0.3532) but neither achieved statistical significance. The intervention cost to EMS was $1937; the intervention led to a $3626 profit for the hospital compared to a loss of $9915 for the control group. Use of local EMS providers may lead to enhanced health care and financial outcomes for community hospitals but the study was underpowered to make a definitive conclusion. However, the results may allow health systems to assess whether collaboration with local EMS providers can improve outcomes at a lower cost.

Dyspnea in Patients with Stiff-Person Syndrome.

BACKGROUND: Stiff-person syndrome (SPS) is a rare autoimmune disorder that leads to progressively worsening stiffness and spasm of thoracic and proximal-limb musculature. Dyspnea has been reported but not analyzed in patients with SPS. MATERIALS AND METHODS: For this prospective study, 17 patients were recruited from a university-based neurology clinic. History and exam were performed, demographic information collected and available imaging reviewed. Dyspnea was assessed using vertical visual analog scales (VAS), the University of California San Diego Shortness of Breath Questionnaire (UCSD-SOBQ) and dyspnea "descriptors". Standardized assessments of SPS severity were performed by an experienced neurologist. Forced vital capacity (FVC) spirometric analysis was performed on all patients. RESULTS: Fifteen of 17 patients complained of dyspnea, including dyspnea at rest, with exertion, and disturbing sleep. A restrictive pattern was the most common abnormality noted on spirometry. FVC (r = -0.67; P < 0.01) and forced expiratory volume in 1-second (FEV1) (r = -0.76; P < 0.01) percent predicted correlated with dyspnea measured by VAS over the preceding 2 weeks. Pulmonary function did not correlate with UCSB-SOBQ or standardized measures of SPS severity. CONCLUSIONS: Dyspnea in SPS is common and occurs at rest with exertion and disturbs sleep. The finding of restrictive physiology and correlation between pulmonary function variables and dyspnea support the hypothesis that thoracic cage constriction by rigidity and/or spasm of the muscles of the trunk causes or contributes to the sensation of dyspnea. The possibility of diaphragmatic involvement requires further study.

Utilizing Patient-Specific Factors to Predict Costs in Home-Based Medicare Part B Outpatient Physical Therapy.

The US health care system faces rising costs related to population aging, among other factors. One aspect of the high costs related to aging is Medicare outpatient therapy expenditures, which in 2010 totaled $5.642B for ∼4.7 million beneficiaries. Given the magnitude of these costs and the need to maximize value, this study developed and tested a predictive model of outpatient therapy costs. Retrospective analysis was performed on electronic medical record data from October 31, 2014-September 30, 2016 for 15,468 Medicare cases treated by physical therapists associated with a large, national rehabilitation provider. The analysis was a multiple linear regression of cost per case by 27 predictor variables: age group, sex, recent hospitalization, community vs. facility residence, the 10 states served, time from admission to initial evaluation, initial functional limitation reporting level, functional limitation reporting category, and 9 chronic conditions. The model was designed to be predictive and includes only variables available at the start of a case. The model was statistically significant (P < .0001) but explained only 7.4% of the variance in cost. Of the predictor variables, 16 had statistically significant effects. Those most highly predictive included state in which service was provided (8 of the 16 effects), and 3 variables indicating physical functioning at initial evaluation (initial functional limitation category and level, and residence in community vs. facility). There is need for more research focusing on the effects of specific types of treatment, and also for a more proactive model for outpatient therapy reimbursement that emphasizes prevention as well as treatment.

Evaluation of an Ongoing Diabetes Group Medical Visit in a Family Medicine Practice.

PURPOSE: Group medical visits (GMVs), which combine 1-on-1 clinical consultations and group self-management education, have emerged as a promising vehicle for supporting type 2 diabetes management in primary care. However, few evaluations exist of ongoing diabetes GMVs embedded in medical practices. METHODS: This study used a quasi-experimental design to evaluate diabetes GMV at a large family medicine practice. We examined program attendance and attrition, used propensity score matching to create a matched comparison group, and compared participants and the matched group on clinical, process of care, and utilization outcomes. RESULTS: GMV participants (n = 230) attended an average of 1 session. Participants did not differ significantly from the matched comparison group (n = 230) on clinical, process of care or utilization outcomes. CONCLUSIONS: The diabetes GMV was not associated with improvements in outcomes. Further studies should examine diabetes GMV implementation challenges to enhance their effectiveness in everyday practice.

A Multidisciplinary Approach to Impact Acute Care Utilization in Sickle Cell Disease.

Sickle cell disease (SCD), an inherited red blood cell disorder, is characterized by anemia, end-organ damage, unpredictable episodes of pain, and early mortality. Emergency department (ED) visits and hospitalizations are frequent, leading to increased burden on patients and increased health care costs. This study assessed the effects of a multidisciplinary care team intervention on acute care utilization among adults with SCD. The multidisciplinary care team intervention included monthly team meetings and development of individualized care plans. Individualized care plans included targeted pain management plans for management of uncomplicated pain crisis. Following implementation of the multidisciplinary care team intervention, a significant decrease in ED utilization was identified among those individuals with a history of high ED utilization. Findings highlight the potential strength of multidisciplinary interventions and suggest that targeting interventions toward high-utilizing subpopulations may offer the greatest impact.

Use of International Classification of Diseases, Ninth Revision Codes for Obesity: Trends in the United States from an Electronic Health Record-Derived Database.

Obesity is a potentially modifiable risk factor for many diseases, and a better understanding of its impact on health care utilization, costs, and medical outcomes is needed. The ability to accurately evaluate obesity outcomes depends on a correct identification of the population with obesity. The primary objective of this study was to determine the prevalence and accuracy of International Classification of Diseases, Ninth Revision (ICD-9) coding for overweight and obesity within a US primary care electronic health record (EHR) database compared against actual body mass index (BMI) values from recorded clinical patient data; characteristics of patients with obesity who did or did not receive ICD-9 codes for overweight/obesity also were evaluated. The study sample included 5,512,285 patients in the database with any BMI value recorded between January 1, 2014, and June 30, 2014. Based on BMI, 74.6% of patients were categorized as being overweight or obese, but only 15.1% of patients had relevant ICD-9 codes. ICD-9 coding prevalence increased with increasing BMI category. Among patients with obesity (BMI ≥30 kg/m2), those coded for obesity were younger, more often female, and had a greater comorbidity burden than those not coded; hypertension, dyslipidemia, type 2 diabetes mellitus, and gastroesophageal reflux disease were the most common comorbidities. KEY FINDINGS: US outpatients with overweight or obesity are not being reliably coded, making ICD-9 codes undependable sources for determining obesity prevalence and outcomes. BMI data available within EHR databases offer a more accurate and objective means of classifying overweight/obese status.

Patient and Provider Characteristics Associated With Optimal Post-Fracture Osteoporosis Management.

Despite an estimated 2 million osteoporosis (OP)-related fractures annually, quality of care for post-fracture OP management remains low. This study aimed to identify patient and provider characteristics associated with achieving or not achieving optimal post-fracture OP management, as defined by the current HEDIS quality measure. The study included women 67 to 85 years of age, with ≥1 fracture, and continuous enrollment in a Humana insurance plan. The study identified a higher percentage of black women in the not achieved group (6.2% vs 5.4%; P < .0001) and Hispanic women in the achieved group (3.0% vs 1.3%; P < .0001). The not achieved group largely included patients residing in the South and urban and suburban areas. The majority of providers were primary care or OP-related specialty, and 66% did not achieve the 4-star OP rating. The study findings can guide development of predictive models to identify at-risk women to improve post-fracture OP management.

Differences in Utilization of Life Support and End-of-Life Care for Medical ICU Patients With Versus Without Cancer.

OBJECTIVES: To explore differences in the utilization of life support and end-of-life care between patients dying in the medical ICU with cancer compared with those without cancer. DESIGN: Retrospective review of 403 deaths or hospice transfers in the medical ICU from January 1, 2012, to June 30, 2013. SETTING: Urban tertiary care university hospital. PATIENTS: Consecutive medical ICU deaths or hospice transfers over an 18-month period. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: One hundred eighty-two patients (45%) had a diagnosis of active cancer and 221 (55%) did not. Despite similar severity of illness, there were significant differences in the use of life support and end-of-life care. Patients without cancer had longer medical ICU length of stay (median, 5 vs 4 d; p = 0.0495), used mechanical ventilation more often and for longer (83.7% vs 70.9%, p = 0.002; 4 vs 3 d, p = 0.017), and initiated dialysis more frequently (26.7% vs 14.8%; p = 0.0038). Patients without active cancer had family meetings later (median, 3 vs 2 d; p = 0.001), less frequent palliative care consultation (17.6% vs 32.4%; p = 0.0006), and took longer to transition to do not resuscitate or comfort care (median, 4 vs 3 d; p = 0.048). CONCLUSIONS: Among patients dying in the medical ICU, the diagnosis of active cancer influences the intensity of life support utilization and the quality of end-of-life care. Patients with active cancer use less life support and may receive better end-of-life care than similar patients without cancer. These differences are likely due to biases or misunderstandings about the trajectory of advanced nonmalignant disease among patients, families, and perhaps providers.

Text Messaging in the Patient-Centered Medical Home to Improve Glucose Control and Retinopathy Screening.

Purpose: To evaluate the effectiveness of a text messaging program (TMP) to improve glucose control, retinopathy screening (RS) rates, and self-care behaviors in patients with uncontrolled type 2 diabetes. Methods: A single-group design with a quasi-systematic random sample (n=20) received educational/exhortational text messages on their cellular phones for 3 months. Subjects, 12 of whom identified as a minority ethnicity, were mostly male, aged 27-73 years. Results: Glucose control and RS rates improved significantly. Subjects (>70%) reported changes in self-care behaviors. Conclusion: Leveraging ubiquitous technology, a TMP for patients with limited access to healthcare education, holds promise.

Comparison of Emergency Department Wait Times in Adults with Sickle Cell Disease Versus Other Painful Etiologies.

Sickle cell disease is characterized by intermittent painful crises often requiring treatment in the emergency department (ED). Past examinations of time-to-provider (TTP) in the ED for patients with sickle cell disease demonstrated that these patients may have longer TTP than other patients. Here, we examine TTP for patients presenting for emergency care at a single institution, comparing patients with sickle cell disease to both the general population and to those with other painful conditions, with examination of both institutional and patient factors that might affect wait times. Our data demonstrated that at our institution patients with sickle cell disease have a slightly longer average TTP compared to the general ED population (+16 min.) and to patients with other painful conditions (+4 min.) However, when confounding factors were considered, there was no longer a significant difference between TTP of patients with sickle cell disease and the general population nor between patients with sickle cell disease and those with other painful conditions. Multivariate analyses demonstrated that gender, race, age, high utilizer status, fast track use, time of presentation, acuity and insurance type, were all independently associated with TTP, with acuity, time of presentation and use of fast track having the greatest influence. We concluded that the longer TTP observed in patients with sickle cell disease can at least partially be explained by institutional factors such as the use of fast track protocols. Further work to reduce TTP for sickle cell disease and other patients is needed to optimize care.

Partner Involvement During Pregnancy and Maternal Health Behaviors.

Objectives Healthcare provider focus often rests solely on a pregnant woman, while a woman's partner may prove to be an ally in a pregnant woman's health behaviors. The objective of this study is to assess the role of partner support and other demographic factors affecting alcohol and drug use in pregnancy. Methods This cross-sectional cohort study at Thomas Jefferson University Hospital evaluated pregnant women and their partners and obtained sociodemographic information, medical history, tobacco and alcohol use, and results from the Norbeck Social Support Questionnaire (NSSQ). Inclusion criteria were pregnant women 18-44 years old, and English fluency. Subjects without support persons were excluded. Results 198 women were evaluated. Women who reported having a partner were less likely to smoke and drink, as 2.8 % of partnered women smoked and 26 % drank, compared with 12.2 % non-partnered women smoked (p = 0.01), and 42 % drank alcohol (p = 0.07). Significant factors positively influencing the NSSQ included being married, increased household income, and higher education (p < 0.001). On multivariate regression, having a partner and higher income level were the most important predictors of the Social Support Score (p < 0.05). Conclusions for Practice Having a partner during pregnancy is an important factor in alcohol and drug use. Patients with a reliable partner were less likely to smoke cigarettes and drink alcohol in pregnancy. Increased income and relationship status are other important factors for the support of pregnant women.

Effects of Evidence-Based Fall Reduction Programing on the Functional Wellness of Older Adults in a Senior Living Community: A Clinical Case Study.

BACKGROUND: Older adults at a high risk of falls may be referred to a physical therapist. A physical therapy episode of care is designed for the transition of an older adult from a high fall risk to a moderate to low fall risk. However, these episodes of care are limited in time and duration. There is compelling evidence for the efficacy of group-based exercise classes to address risk, and transitioning an older adult from physical therapy to a group-based program may be an effective way to manage risk through the continuum of care. OBJECTIVES: The purpose of this study was to translate research findings into a "real world" setting, and demonstrate the efficacy of integrating evidence-based fall prevention exercises into pre-existing exercise classes at a senior living facility as a "proof of concept" model for future programing. METHODS: Twenty-four participants aged 65 years and older living in a senior living community and the community were stratified into group-based exercise classes. Cutoff scores from functional outcome measures were used to stratify participants. Exercises from The Otago Exercise Program were implemented into the classes. Functional outcome measures collected included the 10-Meter Walk Test, 30-Second Sit to Stand, and Timed Up and Go (TUG). Number of falls, hospitalizations, and physical therapy episodes of care were also tracked. Data were compared to a control group in a different senior living community that offered classes with similar exercises aimed at improving strength and mobility. The classes were taught by an exercise physiologist and were of equal duration and frequency. RESULTS: Participants demonstrated significant improvements in all functional outcome measures. TUG mean improved from 13.5 to 10.4 s (p = 0.034). The 30-Second Sit to Stand mean improved from 10.5 to 13.4 (p = 0.002). The 10-Meter Walk Test improved from 0.81 to 0.98 m/s (p < 0.0001). Participants did not experience any falls or hospitalizations, and two participants required physical therapy episodes of care. CONCLUSION: Implementing an evidence-based fall reduction program into a senior living program has a positive effect on strength, balance, fall risk, gait speed, fall rate, hospitalizations, and amount of physical therapy intervention.

The Impact of the Risk Evaluation Mitigation Strategy for Erythropoiesis-Stimulating Agents on Their Use and the Incidence of Stroke in Medicare Subjects with Chemotherapy-Induced Anemia with Lung and/or Breast Cancers.

Erythropoiesis-stimulating agents (ESAs), found to be effective in reducing anemia in chemotherapy-treated cancer patients, also are associated with an increased risk of cardiovascular events, including stroke. In an attempt to mitigate the risk, the Food and Drug Administration implemented a Risk Evaluation Mitigation Strategy (REMS) in February 2010. The purpose of this study is to evaluate change over time in the incidence of stroke among these patients before and after implementation of REMS. A retrospective data analysis using the Medicare 5% Sample Dataset, 2008-2011, was performed. Patients had to be 65 years of age or older at the start of at least 1 year of continuous enrollment and to have lung and/or breast cancers along with chemotherapy-induced anemia (CIA) in both pre-REMS and post-REMS periods (1Q2008 through 4Q2009 and 1Q2010 through 4Q2011, respectively). Logistic regression was used to evaluate differences in proportions of patients who received ESAs and experienced a stroke pre and post REMS. The pre-REMS cohort included 1252 eligible patients prescribed ESAs; the post-REMS cohort included 949 patients. No statistically significant change in stroke incidence was observed post REMS among patients with CIA who received ESAs. There was a 29.5% decrease in ESA use in patients with lung cancer and a 27.8% decrease in patients with breast cancer. Both were statistically significant. Results adjusted for baseline characteristics and comorbid conditions were similar. There was a statistically significant decrease in ESA use in patients with breast and/or lung cancers post REMS; no statistically significant reduction in the incidence of stroke was observed regardless of cancer type.