Patterns of Care and Outcomes of Ambulatory Endovascular Interventions in Lower Extremity Peripheral Arterial Disease.

Lower extremity endovascular intervention (LE-EVI) is gaining popularity as the primary treatment modality for patients with symptomatic peripheral artery disease refractory to noninvasive management. We examined the contemporary patterns of care, regional variation, and outcomes of ambulatory LE-EVI in the United States. The National Ambulatory Surgery Sample was analyzed to identify 266,563 records with peripheral artery disease and LE-EVI between January 1, 2016 and December 31, 2017. The mean age of the study cohort was 68.9 years and 40.5% were women. The majority of the endovascular interventions were performed at large (58.1%), urban teaching (64.1%), private not-for-profit (76.8%) centers, and the southern region accounted for most cases (43%). Periprocedural major adverse renal and cardiovascular events and other complications were 0.5% and 3.3%, respectively. Most patients (97.6%) were discharged home after the procedure. Age, female gender, uncontrolled hypertension, ischemic heart disease, heart failure, arrhythmia, chronic kidney disease, malnutrition, non-Medicare insurance, private for-profit, urban teaching facilities, and southern and midwest regions were associated with higher odds of major adverse renal and cardiovascular events. The mean charges per patient encounter were $56,500, with significant differences across various patient and facility characteristics. In conclusion, our study demonstrates the use, patterns of care, financial aspect, and overall safety of ambulatory LE-EVIs in a real-world setting.

Nonadherence to lipid-lowering therapy and strategies to improve adherence in patients with atherosclerotic cardiovascular disease.

Despite the availability of effective therapies that lower low-density lipoprotein cholesterol (LDL-C) levels in patients with atherosclerotic cardiovascular disease, many eligible patients are inadequately treated and their LDL-C levels remain suboptimal. Patient nonadherence to lipid-lowering therapy (LLT) is a major contributor to the failure of LDL-C goal attainment. Several factors have been identified as contributing to LLT nonadherence, including healthcare disparities due to socioeconomic status, age, race, sex, and cost; limited access to healthcare; perceived side effects associated with LLT; health literacy; and the presence of comorbidities. Suboptimal LLT use has also been associated with clinician factors, including failure to identify patients who require LDL-C reassessment, insufficient LDL-C monitoring, and clinical inertia such as a lack of therapy intensification. Several strategies to enhance LLT adherence have been shown to be effective, including the implementation of educational initiatives and tools for both patients and physicians, the use of clinical protocols and algorithms to identify patients at risk and optimize treatment, and improvements in electronic healthcare records. Pharmacy-based programs designed to help patients with prescription refills, including reminders or the use of prescription delivery by mail, have also proven effective. Drugs requiring frequent administration can represent a barrier to treatment adherence; therefore, newer, more effective LLTs with lower frequency of administration and lower potential for polypharmacy may improve patient adherence to LLT. Implementation of strategies to identify patients at risk for LLT nonadherence and the use of flexible tools such as telemedicine to overcome geographical barriers may improve LLT adherence.

The Impact of the Affordable Care Act on Disparities in Utilization of Cardiovascular Preventive Services by Socioeconomic Status.

Disparities in cardiovascular outcomes are persistent in our society. The objective was to track the trends before and after the passage of the Affordable Care Act in socioeconomic status (SES) disparities in utilization of cardiovascular disease (CVD) preventive services among nonelderly adults aged 18-64 years. This study used the National Health Interview Survey (2011-2017) to compare utilization of blood pressure, cholesterol, glycemic screening, and diet and smoking cessation advice over time between groups stratified by SES and race using difference-in-difference analysis. This study also measured the differences over time in specific vulnerable population subgroups (Hispanic, low-income and uninsured vs. White, middle-high-income, and insured). The study population included 176,961 surveyed individuals (mean age 40 [±13] years; 51% female; 67.7% non-Hispanic White) between 2011 and 2017, translating to 194.8 million nonelderly US adults per year. Most individuals were from high-income SES (40.0%), followed by middle-income (28.1%), low-income (13.6%), and lowest income SES (18.3%). The proportion of CVD preventive services increased over all SES categories through the study period. The biggest relative changes were seen among low-income individuals. The difference in blood pressure checks, cholesterol checks, and smoking cessation advise between high- and lowest income groups showed a statistically significant decrease at 5.2%, 4.8%, and 11.2%, respectively, between 2011 and 2017. The findings demonstrate a trend in reduction of CVD preventive care disparities between SES groups. However, a gap still exists, and this study highlights the need for continuous improvement to eliminate SES disparities.

Diabetes Care Among Older Adults Enrolled in Medicare Advantage Versus Traditional Medicare Fee-For-Service Plans: The Diabetes Collaborative Registry.

OBJECTIVE: Medicare Advantage (MA), Medicare's managed care program, is quickly expanding, yet little is known about diabetes care quality delivered under MA compared with traditional fee-for-service (FFS) Medicare. RESEARCH DESIGN AND METHODS: This was a retrospective cohort study of Medicare beneficiaries ≥65 years old enrolled in the Diabetes Collaborative Registry from 2014 to 2019 with type 2 diabetes treated with one or more antihyperglycemic therapies. Quality measures, cardiometabolic risk factor control, and antihyperglycemic prescription patterns were compared between Medicare plan groups, adjusted for sociodemographic and clinical factors. RESULTS: Among 345,911 Medicare beneficiaries, 229,598 (66%) were enrolled in FFS and 116,313 (34%) in MA plans (for ≥1 month). MA beneficiaries were more likely to receive ACE inhibitors/angiotensin receptor blockers for coronary artery disease, tobacco cessation counseling, and screening for retinopathy, foot care, and kidney disease (adjusted P ≤ 0.001 for all). MA beneficiaries had modestly but significantly higher systolic blood pressure (+0.2 mmHg), LDL cholesterol (+2.6 mg/dL), and HbA1c (+0.1%) (adjusted P < 0.01 for all). MA beneficiaries were independently less likely to receive glucagon-like peptide 1 receptor agonists (6.9% vs. 9.0%; adjusted odds ratio 0.80, 95% CI 0.77-0.84) and sodium-glucose cotransporter 2 inhibitors (5.4% vs. 6.7%; adjusted odds ratio 0.91, 95% CI 0.87-0.95). When integrating Centers for Medicare and Medicaid Services-linked data from 2014 to 2017 and more recent unlinked data from the Diabetes Collaborative Registry through 2019 (total N = 411,465), these therapeutic differences persisted, including among subgroups with established cardiovascular and kidney disease. CONCLUSIONS: While MA plans enable greater access to preventive care, this may not translate to improved intermediate health outcomes. MA beneficiaries are also less likely to receive newer antihyperglycemic therapies with proven outcome benefits in high-risk individuals. Long-term health outcomes under various Medicare plans requires surveillance.

Reducing Cardiovascular Risk in the Medicare Million Hearts Risk Reduction Model: Insights From the National Cardiovascular Data Registry PINNACLE Registry.

BACKGROUND: The Million Hearts Cardiovascular Disease Risk Reduction Model provides financial incentives for practices to lower 10-year atherosclerotic cardiovascular disease (ASCVD) risk for high-risk (ASCVD ≥30%) Medicare patients. To estimate average practice-level ASCVD risk reduction, we applied optimal trial outcomes to a real-world population with high ASCVD risk. METHODS: This study uses observational registry data from the National Cardiovascular Data Registry Practice Innovation and Clinical Excellence Registry from January 2013 to June 2016. We modeled ASCVD risk reductions using historical clinical trial data (reducing cholesterol by 26.5%, reducing systolic blood pressure by 10.9%, reducing smoking rates by 21.8%) the average reduction in ASCVD risk associated with individual and combined risk factor modifications, and then percentage of practices achieving the various incentive thresholds for the Million Hearts Model. RESULTS: The final study population included 135 166 patients, with 16 248 (12.0%) with 10-year ASCVD risk of ≥30%, but without existing ASCVD. The mean 10-year ASCVD risk was 41.9% (±1 SD of 11.6). Using risk factor reductions from clinical trials, lowering cholesterol, blood pressure, and smoking rates reduced 10-year ASCVD risk by 3.3% (±3.1), 6.3% (±1.1) and 0.5% (±1.3), respectively. Combining all 3 reductions resulted in a 9.7% (±3.6) reduction, with 67 (27.0%) of practices achieving a patient-level average 10-year ASCVD risk reduction of ≥10%, 181 (73.0%) achieving a 2 to 10% reduction, and no practice achieving <2% reduction. CONCLUSIONS: In cardiology practices, about 1 out of 8 patients have a 10-year ASCVD risk ≥30% and qualify as high risk in the Million Hearts Model. If practices target the three main modifiable risk factors and achieve reductions similar to clinical trial results, ASCVD risk could be substantially lowered and all practices could receive incentive payments. These findings support the potential benefit of the Million Hearts Model and provide guidance to participating practices.

Atherosclerotic Cardiovascular Disease, Cancer, and Financial Toxicity Among Adults in the United States.

BACKGROUND: Financial toxicity (FT) is a well-established side-effect of the high costs associated with cancer care. In recent years, studies have suggested that a significant proportion of those with atherosclerotic cardiovascular disease (ASCVD) experience FT and its consequences. OBJECTIVES: This study aimed to compare FT for individuals with neither ASCVD nor cancer, ASCVD only, cancer only, and both ASCVD and cancer. METHODS: From the National Health Interview Survey, we identified adults with self-reported ASCVD and/or cancer between 2013 and 2018, stratifying results by nonelderly (age <65 years) and elderly (age ≥65 years). We defined FT if any of the following were present: any difficulty paying medical bills, high financial distress, cost-related medication nonadherence, food insecurity, and/or foregone/delayed care due to cost. RESULTS: The prevalence of FT was higher among those with ASCVD when compared with cancer (54% vs. 41%; p < 0.001). When studying the individual components of FT, in adjusted analyses, those with ASCVD had higher odds of any difficulty paying medical bills (odds ratio [OR]: 1.22; 95% confidence interval [CI]: 1.09 to 1.36), inability to pay bills (OR: 1.25; 95% CI: 1.04 to 1.50), cost-related medication nonadherence (OR: 1.28; 95% CI: 1.08 to 1.51), food insecurity (OR: 1.39; 95% CI: 1.17 to 1.64), and foregone/delayed care due to cost (OR: 1.17; 95% CI: 1.01 to 1.36). The presence of ≥3 of these factors was significantly higher among those with ASCVD and those with both ASCVD and cancer when compared with those with cancer (23% vs. 30% vs. 13%, respectively; p < 0.001). These results remained similar in the elderly population. CONCLUSIONS: Our study highlights that FT is greater among patients with ASCVD compared with those with cancer, with the highest burden among those with both conditions.

Outcomes in patients with anthracycline-induced cardiomyopathy undergoing left ventricular assist devices implantation.

AIMS: Improved cancer survivorship has led to a higher number of anthracycline-induced cardiomyopathy patients with end-stage heart failure. We hypothesize that outcomes following continuous-flow LVAD (CF-LVAD) implantation in those with anthracycline-induced cardiomyopathy are comparable with other aetiologies of cardiomyopathy. METHODS AND RESULTS: Using the Interagency Registry for Mechanically Assisted Circulatory Support (INTERMACS) from 2008 to 2017, we identified patients with anthracycline-induced cardiomyopathy who received a CF-LVAD and compared them with those with idiopathic dilated (IDM) and ischaemic cardiomyopathies (ICM). Mortality was studied using the Cox proportional hazards model. Other adverse events were evaluated using competing risk models. Overall, 248 anthracycline-induced cardiomyopathy patients underwent CF-LVAD implantation, with a median survival of 48 months, an improvement compared with those before 2012 [adjusted hazards ratio (aHR): 0.53; confidence interval (CI): 0.33-0.86]. At 12 months, 85.1% of anthracycline-induced cardiomyopathy, 86.0% of IDM, and 80.2% of ICM patients were alive (anthracycline-induced cardiomyopathy vs. IDM: aHR: 1.12; CI: 0.88-1.43 and anthracycline-induced cardiomyopathy vs. ICM: aHR: 0.98; CI: 0.76-1.28). Anthracycline-induced cardiomyopathy patients had a higher major bleeding risk compared with IDM patients (aHR: 1.23; CI: 1.01-1.50), and a lower risk of stroke and prolonged respiratory support compared to ICM patients (aHR: 0.31 and 0.67 respectively; both P < 0.05). There was no difference in the risk of major infection, acute kidney injury, and venous thromboembolism. CONCLUSIONS: After receiving a CF-LVAD, survival in patients with anthracycline-induced cardiomyopathy is similar to those with ICM or IDM. Further research into differential secondary endpoints-related disparities is warranted.

Cardiovascular Events in Men with Prostate Cancer Receiving Hormone Therapy: An Analysis of the FDA Adverse Event Reporting System (FAERS).

PURPOSE: The comparative cardiovascular risk profiles of available hormone therapies for the treatment of prostate cancer is not known. MATERIALS AND METHODS: We queried the U.S. Food and Drug Administration Adverse Event Reporting System, a retrospective, pharmacovigilance database, for cardiovascular adverse event reports in men with prostate cancer receiving gonadotropin releasing hormone (GnRH) agonists, GnRH antagonists, androgen receptor antagonists, and/or androgen synthesis inhibitors from January 2000 to April 2020. RESULTS: Cardiovascular adverse events accounted for 6,231 reports (12.6%) on hormone monotherapy and 1,793 reports (26.1%) on combination therapy. Arterial vascular events were reported most commonly, followed by arrhythmias, heart failure, and venous thromboembolism. Compared to GnRH agonists, GnRH antagonists were associated with fewer cardiovascular adverse event reports as monotherapy (adjusted reporting odds ratio [ROR]=0.70 [95% CI 0.59-0.84], p <0.001) and as combination therapy (ROR=0.47 [0.34-0.67], p <0.0001), driven by reductions in arterial vascular events. Second generation androgen receptor antagonists and abiraterone were associated with more reports of hypertension requiring hospitalization (ROR=1.21 [1.03-1.41], p=0.02 and ROR=1.19 [1.01-1.40], p=0.03, respectively), and more heart failure events when used in combination with GnRH antagonists (ROR=2.79 [1.30-6.01], p=0.009 and ROR=2.57 [1.12-5.86], p=0.03). CONCLUSIONS: In this retrospective analysis of a pharmacovigilance database, arterial vascular events were the most commonly reported cardiovascular adverse events in men on hormone therapy for prostate cancer. GnRH antagonists were associated with fewer reports of overall cardiovascular events and arterial vascular events than GnRH agonists. Additional study is needed to identify optimal strategies to reduce cardiovascular morbidity among men with prostate cancer receiving hormone therapy.

Association between Respiratory Failure and Clinical Outcomes in Patients with Acute Heart Failure: Analysis of 5 Pooled Clinical Trials.

BACKGROUND: Despite a temporal increase in respiratory failure in patients hospitalized with acute heart failure (HF), clinical trials have largely not reported the incidence or associated clinical outcomes for patients requiring mechanical ventilation. METHODS AND RESULTS: After pooling 5 acute HF clinical trials, we used multivariable logistic regression adjusted for demographics, comorbidities, examinations, and laboratory findings to assess associations between mechanical ventilation and clinical outcomes. Among the 8296 patients, 210 (2.5%) required mechanical ventilation. Age, sex, smoking history, baseline ejection fraction, HF etiology, and the proportion of patients randomized to treatment or placebo in the original clinical trial were similar between groups (all, P > 0.05). Baseline diabetes mellitus was more common in the mechanical ventilation group (P = 0.02), but other comorbidities, including chronic lung disease, were otherwise similar (all P > 0.05). HF rehospitalization at 30 days (12.7% vs 6.6%, P < 0.001) and all-cause 60-day mortality (33.3% vs 6.1%, P < 0.001) was higher among patients requiring mechanical ventilation. After multivariable adjustment, mechanical ventilation use was associated with an increased 30-day HF rehospitalization (odds ratio 2.03; 95% confidence interval, 1.29-3.21, P = 0.002), 30-day mortality (odds ratio 10.40; 95% confidence interval, 7.22-14.98, P < 0.001), and 60-day mortality (odds ratio 7.68; 95% confidence interval, 5.50-10.74, P < 0.001). The influence of mechanical ventilation did not differ by HF etiology or baseline ejection fraction (both, interaction P > 0.20). CONCLUSIONS: Respiratory failure during an index hospitalization for acute HF was associated with increased rehospitalization and all-cause mortality. The development of respiratory failure during an acute HF admission identifies a particularly vulnerable population, which should be identified for closer monitoring.

Contemporary utilization patterns and outcomes of thrombolytic administration for ischemic stroke among patients with cancer.

BACKGROUND: Thrombolytic therapy significantly improves outcomes among patients with acute ischemic stroke. While cancer outcomes have dramatically improved, the utilization, safety, and mortality outcomes of patients with cancer who receive thrombolytic therapy for acute ischemic stroke are unknown. METHODS: Using a national database, we identified all hospitalizations for acute ischemic stroke requiring thrombolytic therapy between 2003 and 2015. Patients with contraindications to thrombolytic therapy were excluded. Following propensity score matching for comorbidity burden, trends in thrombolytic therapy use and its effect on in-hospital mortality, intracranial or all-cause bleeding, and the combined endpoint of mortality and all-cause bleeding, by presence/absence of cancer were evaluated. We also evaluated 30- and 90-day readmission rates post-thrombolytic therapy administration. RESULTS: We identified 237,687 acute ischemic stroke hospitalizations requiring thrombolytic therapy, of which 26,328 (11%) had an underlying cancer. Over the study period, thrombolytic therapy use increased across all acute ischemic stroke admissions, irrespective of cancer presence (12.4/1000 in 2003 to 81.1/1000 in 2015, P < 0.0001). However, thrombolytic therapy utilization differed by cancer presence (4.8% cancer vs.·5.1% non-cancer, P = 0.001). There was no difference in intracranial bleeding (9.6% vs. 9.7%), all-cause bleeding (13.2% vs. 13.2%), or in-hospital mortality (7.6% vs. 7.2%). While there was no difference in 30-day readmission rates by cancer presence (24% vs. 29%, P = 0.40), at 90-days, cancer patients saw higher readmission rates (17.2% vs. 13.3%, P = 0.02). CONCLUSIONS: Contemporary thrombolytic therapy use for acute ischemic stroke has risen, irrespective of presence of cancer. Yet, patients with comorbid cancer appear to see lower rates of thrombolytic therapy use for acute ischemic stroke, despite no difference in the rate of intracranial bleeding or mortality after adjustment for comorbidities.

Socio-Economic Burden of Myocardial Infarction Among Cancer Patients.

Cancer patients face a higher risk of future myocardial infarction (MI), even after completion of anticancer therapies. MI is a critical source of physical and financial stress in noncancer patients, but its impacts associated with cancer patients also saddled with the worry (stress) of potential reoccurrence is unknown. Therefore, we aimed to quantify MI's stress and financial burden after surviving cancer and compare to those never diagnosed with cancer. Utilizing cross-sectional national survey data from 2013 to 2018 derived from publicly available United States datasets, the National Health Interview Survey , and economic data from the National Inpatient Sample , we compared the socio-economic outcomes in those with MI by cancer-status. We adjusted for social, demographic, and clinical factors. Overall, 19,504 (10.2%) of the 189,836 National Health Interview Survey responders reported having cancer for more than 1 year. There was an increased prevalence of MI in cancer survivors compared with noncancer patients (8.8% vs 3.2%, p <0.001). MI was associated with increased financial worry, food insecurity, and financial burden of medical bills (p <0.001, respectively); however, concurrent cancer did not seem to be an effect modifier (p >0.05). There was no difference in annual residual family income by cancer status; however, 3 lowest deciles of residual income representing 21.1% cancer-survivor with MI had a residual income of <$9,000. MI continues to represent an immense source of financial and perceived stress. In conclusion, although cancer patients face a higher risk of subsequent MI, this does not appear to advance their reported stress significantly.

Geographical affiliation with top 10 NIH-funded academic medical centers and differences between mortality from cardiovascular disease and cancer.

Community engagement and rapid translation of findings for the benefit of patients has been noted as a major criterion for NIH decisions regarding allocation of funds for research priorities. We aimed to examine whether the presence of top NIH-funded institutions resulted in a benefit on the cardiovascular and cancer mortality of their local population. METHODS AND RESULTS: Based on the annual NIH funding of every academic medical from 1995 through 2014, the top 10 funded institutes were identified and the counties where they were located constituted the index group. The comparison group was created by matching each index county to another county which lacks an NIH-funded institute based on sociodemographic characteristics. We compared temporal trends of age-standardized cardiovascular mortality between the index counties and matched counties and states. This analysis was repeated for cancer mortality as a sensitivity analysis. From 1980 through 2014, the annual cardiovascular mortality rates declined in all counties. In the index group, the average decline in cardiovascular mortality rate was 51.5 per 100,000 population (95% CI, 46.8-56.2), compared to 49.7 per 100,000 population (95% CI, 45.9-53.5) in the matched group (P = .27). Trends in cardiovascular mortality of the index counties were similar to the cardiovascular mortality trends of their respective states. Cancer mortality rates declined at higher rates in counties with top NIH-funded medical centers (P < .001). CONCLUSIONS: Cardiovascular mortality rates have decreased with no apparent incremental benefit for communities with top NIH-funded institutions, underscoring the need for an increased focus on implementation science in cardiovascular diseases.

Readmission after inferior vena cava filter placement for acute venous thromboembolism in the United States: Impact of a cancer diagnosis.

BACKGROUND: Inferior vena cava filter (IVCF) use is common after a venous thromboembolic event (VTE). Cancer is associated with higher rates of VTEs and is also seen in a significant proportion of patients requiring IVCF. As hospital readmissions remain a frequently scrutinized metric, we sought to evaluate the impact of cancer on hospital-readmission rates and in-hospital outcomes among patients with VTEs who received an IVCF. METHODS: Leveraging the 2013 to 2014 Nationwide Readmission Database, we identified adult patients presenting with a VTE in the United States and evaluated 30-day readmission rates and readmission in-hospital outcomes postindex-admission. Multivariable logistic regression was used to identify factors associated with readmission after an index-procedure, including traditional and nontraditional cardiovascular risk factors, as well as hospital-level characteristics. RESULTS: Among the 619 241 patients presenting with a VTE at index-admission, 11.2% of patients received IVCF on index-admission, of which 30.9% had cancer. The 30-day readmission rate amongst IVCF recipients was 15.8% (N = 10 927), and 19.9% amongst those with cancer compared to 13.9% in patients without cancer (P < .001). Moreover, cancer patients had longer lengths of stay in the hospital (4.5 ± 0.2 vs 4.0 ± 0.1 days; P = .02), higher cost of care ($10 900 ± 308 vs $9242 ± 206; P = .007), but no difference in mortality (8.3% vs 6.3%; P = .70) during readmission compared to noncancer patients. CONCLUSION: Readmission after IVCF placement is common. In patients readmitted after an IVCF implantation, those with cancer have longer hospital stays and higher costs of care. However, in-hospital mortality is similar to those without cancer.

The effect of catheter-directed thrombolytic use on readmission rates and in-hospital outcomes among cancer patients with venous thromboembolism in the United States.

BACKGROUND: Cancer inducing a hypercoagulable state, venous thromboembolism (VTE) remains a leading cause of morbidity and mortality globally. We assessed the impacts of cancer on the likelihood for readmission after a VTE-targeted procedure. METHODS: We created a new cohort using discharge-level data from all hospitalizations from State Inpatient Databases of geographically dispersed participating states (18-27 states). RESULTS: In those presenting with VTE during index-admission (619 241), 2.4% patients underwent catheter directed thrombolytic therapy (CDL) on index admission and among those 20.3% had cancer. Moreover, the 30-day readmission rate amongst CDL recipients (10 776 overall) was 14.3% in those with cancer compared to 8.8% in those with no cancer history (P < .0001). Additionally, in-hospital mortality (5.7% vs 1.1%; P = 0.009) and cost-of-care ($11 014 ± 914 vs $10 520 ± 534; P = .04) was significantly higher in cancer compared to noncancer. CONCLUSION: The use of CDL does not appear to reduce the risk of returning for a VTE-related admission in cancer.

Patient and hospital characteristics associated with ticagrelor uptake in acute MI: An analysis of the Chest Pain-MI Registry.

BACKGROUND: ACC/AHA guidelines support the use of the P2Y12 inhibitors clopidogrel, prasugrel, or ticagrelor in acute myocardial infarction (AMI). Little is known about trends in P2Y12 inhibitor selection over time. METHODS: Multicenter, longitudinal analysis of patients and hospitals in the National Cardiovascular Data Registry (NCDR) Chest Pain - MI Registry from the third quarter of 2013 to the first quarter of 2017. RESULTS: A total of 362,354 AMI patients treated at 801 hospitals were included in our analysis. Ticagrelor use increased over time, from 6.1% in 2013 to 33.7% in 2017, with corresponding reductions in the use of clopidogrel and prasugrel (p < 0.001 for all trends). In multivariable models, patients of white race, with private insurance, or STEMI were more likely to receive ticagrelor (p < 0.05 for all). Hospitals in the highest quartile of ticagrelor uptake had use rates ranging from 29% to 88%, and were more likely to have the lowest volume of MI patients. The correlation between prasugrel and ticagrelor adoption was weakly positive (correlation coefficient: 0.15, p = 0.004); hospitals with the lowest early adoption of prasugrel started with the lowest rate of ticagrelor use and had the slowest rate of increase in ticagrelor use. CONCLUSIONS: There has been a rapid increase in use of ticagrelor since its approval by the FDA and both patient and hospital characteristics were associated with variation in its adoption and utilization. Further examination of the characteristics associated with the rapid adoption of new evidence may provide insights about improving health system performance.