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BackgroundThe Affordable Care Act expanded Medicaid eligibility allowing low-income individuals greater access to health care. However, the uptake of state Medicaid expansion has been variable. It remains unclear how the Medicaid expansion was associated with the temporal trends in use of evidence-based cardiovascular drugs.MethodsWe used the publicly available Medicaid Drug Utilization and Current Population Survey to extract filled prescription rates per 1000 Medicaid beneficiaries of statins, antihypertensives, P2Y12 inhibitors, and direct oral anticoagulants. We defined expander states as those who expanded Medicaid on or before January 1, 2014, and nonexpander states as those who had not expanded by December 31, 2018. Difference-in-differences (DID) analyses were performed to compare the association of the Medicaid expansion with per-capita cardiovascular drug prescription rates in expander versus nonexpander states.ResultsBetween 2011 and 2018, the total number of prescriptions among all Medicaid beneficiaries increased, with gains of 89.7% in statins (11.0 to 20.8 million), 76% in antihypertensives (35.3 to 62.2 million), and 37% in P2Y12 inhibitors (1.7 to 2.3 million). Medicaid expansion was associated with significantly greater increases in quarterly prescriptions (per 1000 Medicaid beneficiaries) of statins (DID estimate [95% CI]: 22.5 [16.5-28.6], P75% of the expander states had increases in prescription rates of both statins and antihypertensives. In contrast, 44% of nonexpander states saw declines in statins and antihypertensives. The Medicaid expansion was not associated with higher direct oral anticoagulants prescription rates (DID estimate [95% CI] 0.9 [-0.3 to 2.1], P=0.142).ConclusionsThe 2014 Medicaid expansion was associated with a significant increase in per-capita utilization of cardiovascular prescription drugs among Medicaid beneficiaries. These gains in utilization may contribute to long-term cardiovascular benefits to lower-income and previously underinsured populations.

Background: Readmissions after hospitalization for acute myocardial infarction (AMI) are common, but the few available risk prediction models have poor predictive ability. Including more data from hospitalization may improve risk prediction. Objectives: To assess if an AMI-specific electronic health record (EHR) readmission risk prediction model derived and validated from data through the entire hospital course (‘full stay’ model) outperforms a model using data available only from the first day of hospitalization (‘first day’ model). Methods: EHR data from AMI hospitalizations from 6 diverse hospitals in north Texas from 2009-2010 were used to derive a model predicting all-cause non-elective 30-day readmissions which was then validated using five-fold cross-validation. Results: Of 826 consecutive index AMI admissions, 13% were followed by a 30-day readmission. History of diabetes (AOR 2.41, 95% CI 1.37-4.24), SBP

Background: The COVID-19 pandemic has evolved through multiple phases characterized by new viral variants, vaccine development, and changes in therapies. It is unknown whether rates of cardiovascular disease (CVD) risk factor profiles and complications have changed over time., Methods: We analyzed the American Heart Association COVID-19 CVD registry, a national multicenter registry of hospitalized adults with active COVID-19 infection. The time period from April 2020 to December 2021 was divided into 3-month epochs, with March 2020 analyzed separately as a potential outlier. Participating centers varied over the study period. Trends in all-cause in-hospital mortality, CVD risk factors, and in-hospital CVD outcomes, including a composite primary outcome of cardiovascular death, cardiogenic shock, new heart failure, stroke, and myocardial infarction, were evaluated across time epochs. Risk-adjusted analyses were performed using generalized linear mixed-effects models., Results: A total of 46 007 patient admissions from 134 hospitals were included (mean patient age 61.8 years, 53% male, 22% Black race). Patients admitted later in the pandemic were younger, more likely obese, and less likely to have existing CVD ( P trend ≤0.001 for each). The incidence of the primary outcome increased from 7.0% in March 2020 to 9.8% in October to December 2021 (risk-adjusted P trend =0.006). This was driven by an increase in the diagnosis of myocardial infarction and stroke ( P trend <0.0001 for each). The overall rate of in-hospital mortality was 14.2%, which declined over time (20.8% in March 2020 versus 10.8% in the last epoch; adjusted P trend <0.0001). When the analysis was restricted to July 2020 to December 2021, no temporal change in all-cause mortality was seen (adjusted P trend =0.63)., Conclusions: Despite a shifting risk factor profile toward a younger population with lower rates of established CVD, the incidence of diagnosed cardiovascular complications of COVID increased from the onset of the pandemic through December 2021. All-cause mortality decreased during the initial months of the pandemic and thereafter remained consistently high through December 2021., Competing Interests: Disclosures Dr Elkind reports serving as an unpaid Officer of the American Heart Association. Dr Hall, C. Rutan, J. Walchok, J.H. Williams, Dr Stevens, and P. Mallya are employees of the American Heart Association. Dr Wang reports receiving research grants to the Duke Clinical Research Institute from Abbott, AstraZeneca, Bristol Myers Squibb, Boston Scientific, Cryolife, Chiesi, Merck, Portola, and Regeneron, as well as consulting honoraria from AstraZeneca, Bristol Myers Squibb, Cryolife, and Novartis. All other authors have no relationships to report.

Despite decades of improvement in the quality and outcomes of cardiovascular care, significant gaps remain. Existing quality improvement strategies are often limited in scope to specific clinical conditions and episodic care. Health services and outcomes research is essential to inform gaps in care but rarely results in the development and implementation of care delivery solutions. Although individual health systems are engaged in projects to improve the quality of care delivery, these efforts often lack a robust study design or implementation evaluation that can inform generalizability and further dissemination. Aligning the work of health care systems and health services and outcomes researchers could serve as a strategy to overcome persisting gaps in cardiovascular quality and outcomes. We describe the inception of the Cardiovascular Quality Improvement and Care Innovation Consortium that seeks to rapidly improve cardiovascular care by (1) developing, implementing, and evaluating multicenter quality improvement projects using innovative care designs; (2) serving as a resource for quality improvement and care innovation partners; and (3) establishing a presence within existing quality improvement and care innovation structures. Success of the collaborative will be defined by projects that result in changes to care delivery with demonstrable impacts on the quality and outcomes of care across multiple health systems. Furthermore, insights gained from implementation of these projects across sites in Cardiovascular Quality Improvement and Care Innovation Consortium will inform and promote broad dissemination for greater impact.

Background: In response to the public health emergency created by the coronavirus disease 2019 (COVID-19) pandemic, American Heart Association volunteers and staff aimed to rapidly develop and launch a resource for the medical and research community to expedite scientific advancement through shared learning, quality improvement, and research. In <4 weeks after it was first announced on April 3, 2020, AHA's COVID-19 CVD Registry powered by Get With The Guidelines received its first clinical records., Methods and Results: Participating hospitals are enrolling consecutive hospitalized patients with active COVID-19 disease, regardless of CVD status. This hospital quality improvement program will allow participating hospitals and health systems to evaluate patient-level data including mortality rates, intensive care unit bed days, and ventilator days from individual review of electronic medical records of sequential adult patients with active COVID-19 infection. Participating sites can leverage these data for onsite, rapid quality improvement, and benchmarking versus other institutions. After 9 weeks, >130 sites have enrolled in the program and >4000 records have been abstracted in the national dataset. Additionally, the aggregate dataset will be a valuable data resource for the medical research community., Conclusions: The AHA COVID-19 CVD Registry will support greater understanding of the impact of COVID-19 on cardiovascular disease and will inform best practices for evaluation and management of patients with COVID-19.

Background: Although hospitalization for acute decompensated heart failure (HF) is common and associated with poor outcomes and high costs, few evidence-based recommendations are available to guide patient management. Thus, management of inpatient HF remains heterogeneous. We evaluated if physician-specific self-reported HF practice patterns were associated with 2 important contributors to resource utilization: length of stay (LOS) and 30-day readmission., Methods and Results: A 5-point Likert scale survey was created to assess physician-specific HF discharge strategies and administered to all cardiologists and hospitalists at a single large academic teaching hospital. Practice patterns potentially impacting LOS and discharge decisions were queried, including use of physical examination findings, approaches to diuretic use and influence of kidney function. Likert scale responses are reported as means with any value above 3.00 considered more influential and any value below 3.00 considered less influential. Physician-specific LOS and 30-day readmission rates from July 1, 2015, to June 30, 2016, were extracted from the electronic record. We received survey responses and HF utilization metrics from 58 of 69 surveyed physicians (32 hospitalists and 26 cardiologists), encompassing 753 HF discharges over a 1-year period. Median LOS was 4.5 days (interquartile range, 4.0-5.8) and total 30-day readmission rate was 17.0% (128 unique readmissions). Physicians with below-median LOS placed less importance on observing a patient on oral diuretics for 24 hours before discharge (Likert 2.54 versus 3.30, P=0.01), reaching documented dry weight (Likert 2.93 versus 3.60, P=0.02), and complete resolution of dyspnea on exertion (Likert 3.64 versus 4.10, P=0.03) when compared with those above-median LOS. In contrast, no surveyed discharge practices were associated with physician-specific 30-day readmission., Conclusions: We identified specific inpatient HF discharge practice patterns that associated with shorter LOS but not with readmission rates. These may be targets for future interventions aimed at cost reduction; additional larger studies are needed for further exploration.

Background: Hospitals are subject to federal financial penalties for excessive 30-day hospital readmissions for acute myocardial infarction (AMI). Prospectively identifying patients hospitalized with AMI at high risk for readmission could help prevent 30-day readmissions by enabling targeted interventions. However, the performance of AMI-specific readmission risk prediction models is unknown., Methods and Results: We systematically searched the published literature through March 2017 for studies of risk prediction models for 30-day hospital readmission among adults with AMI. We identified 11 studies of 18 unique risk prediction models across diverse settings primarily in the United States, of which 16 models were specific to AMI. The median overall observed all-cause 30-day readmission rate across studies was 16.3% (range, 10.6%-21.0%). Six models were based on administrative data; 4 on electronic health record data; 3 on clinical hospital data; and 5 on cardiac registry data. Models included 7 to 37 predictors, of which demographics, comorbidities, and utilization metrics were the most frequently included domains. Most models, including the Centers for Medicare and Medicaid Services AMI administrative model, had modest discrimination (median C statistic, 0.65; range, 0.53-0.79). Of the 16 reported AMI-specific models, only 8 models were assessed in a validation cohort, limiting generalizability. Observed risk-stratified readmission rates ranged from 3.0% among the lowest-risk individuals to 43.0% among the highest-risk individuals, suggesting good risk stratification across all models., Conclusions: Current AMI-specific readmission risk prediction models have modest predictive ability and uncertain generalizability given methodological limitations. No existing models provide actionable information in real time to enable early identification and risk-stratification of patients with AMI before hospital discharge, a functionality needed to optimize the potential effectiveness of readmission reduction interventions., (© 2018 American Heart Association, Inc.)

Background: Current guidelines recommend surgical revascularization (coronary artery bypass graft [CABG]) over percutaneous coronary intervention (PCI) in patients with diabetes mellitus and multivessel coronary artery disease. Few data are available describing revascularization patterns among these patients in the setting of non-ST-segment-elevation myocardial infarction., Methods and Results: Using Acute Coronary Treatment and Intervention Outcomes Network Registry-Get with the Guidelines (ACTION Registry-GWTG), we compared the in-hospital use of different revascularization strategies (PCI versus CABG versus no revascularization) in diabetes mellitus patients with non-ST-segment-elevation myocardial infarction who had angiography, demonstrating multivessel coronary artery disease between July 2008 and December 2014. Factors associated with use of CABG versus PCI were identified using logistic multivariable regression analyses. A total of 29 769 patients from 539 hospitals were included in the study, of which 10 852 (36.4%) were treated with CABG, 13 760 (46.2%) were treated with PCI, and 5157 (17.3%) were treated without revascularization. The overall use of revascularization increased over the study period with an increase in the proportion undergoing PCI (45% to 48.9%; Ptrend=0.0002) and no change in the proportion undergoing CABG (36.1% to 34.7%; ptrend=0.88). There was significant variability between participating hospitals in the use of PCI and CABG (range: 22%-100%; 0%-78%, respectively; P value <0.0001 for both). Patient-level, but not hospital-level, characteristics were statistically associated with the use of PCI versus CABG, including anatomic severity of the disease, early treatment of adenosine diphosphate receptor antagonists at presentation, older age, female sex, and history of heart failure., Conclusions: Among patients with diabetes mellitus and multivessel coronary artery disease presenting with non-ST-segment-elevation myocardial infarction, only one third undergo CABG during the index admission. Furthermore, the use of PCI, but not CABG, increased modestly over the past 6 years., (© 2016 American Heart Association, Inc.)

Background: In 2009, national legislation promoted wide-spread adoption of electronic health records (EHRs) across US hospitals; however, the association of EHR use with quality of care and outcomes after acute myocardial infarction (AMI) remains unclear., Methods and Results: Data on EHR use were collected from the American Hospital Association Annual Surveys (2007-2010) and data on AMI care and outcomes from the National Cardiovascular Data Registry Acute Coronary Treatment and Interventions Outcomes Network Registry-Get With The Guidelines. Comparisons were made between patients treated at hospitals with fully implemented EHR (n=43 527), partially implemented EHR (n=72 029), and no EHR (n=9270). Overall EHR use increased from 82.1% (183/223) hospitals in 2007 to 99.3% (275/277) hospitals in 2010. Patients treated at hospitals with fully implemented EHRs had fewer heparin overdosing errors (45.7% versus 72.8%; P<0.01) and a higher likelihood of guideline-recommended care (adjusted odds ratio, 1.40 [confidence interval, 1.07-1.84]) compared with patients treated at hospitals with no EHR. In non-ST-segment-elevation AMI, fully implemented EHR use was associated with lower risk of major bleeding (adjusted odds ratio, 0.78 [confidence interval, 0.67-0.91]) and mortality (adjusted odds ratio, 0.82 [confidence interval, 0.69-0.97]) compared with no EHR. In ST-segment-elevation MI, outcomes did not significantly differ by EHR status., Conclusions: EHR use has risen to high levels among hospitals in the National Cardiovascular Data Registry. EHR use was associated with less frequent heparin overdosing and modestly greater adherence to acute MI guideline-recommended therapies. In non-ST-segment-elevation MI, slightly lower adjusted risk of major bleeding and mortality were seen in hospitals implemented with full EHRs; however, in ST-segment-elevation MI, differences in outcomes were not seen., (© 2015 American Heart Association, Inc.)

Background: Accumulated data suggest that low-dose aspirin after myocardial infarction (MI) may offer similar efficacy to higher dose aspirin with reduced risk of bleeding. Few data are available on contemporary aspirin dosing patterns after MI in the United States, Methods and Results: Aspirin dosing from 221 199 patients with MI (40.2% ST-segment-elevation MI) from 525 US hospitals enrolled in the National Cardiovascular Data Registry's (NCDR's) Acute Coronary Treatment and Intervention Outcomes Network Registry-Get with the Guidelines were described, overall and in clinically relevant subgroups. High-dose aspirin was defined as 325 mg and low dose as 81 mg. Between January 2007 and March 2011, 60.9% of patients with acute MI were discharged on high-dose aspirin, 35.6% on low-dose aspirin, and 3.5% on other doses. High-dose aspirin was prescribed at discharge to 73.0% of patients treated with percutaneous coronary intervention and 44.6% of patients managed medically. Among 9075 patients discharged on aspirin, thienopyridine, and warfarin, 44.0% were prescribed high-dose aspirin. Patients with an in-hospital major bleeding event were also frequently discharged on high-dose aspirin (56.7%). A 25-fold variation in the proportion prescribed high-dose aspirin at discharge was observed across participating centers., Conclusions: Most US patients with MI continue to be discharged on high-dose aspirin. Although aspirin dosing after percutaneous coronary intervention largely reflected prevailing guidelines before 2012, high-dose aspirin was prescribed with similar frequency in medically managed patients and to those in categories expected to be at high risk for bleeding. Wide variability in the proportional use of high-dose aspirin across centers suggests significant influence from local practice habits and uncertainty about appropriate aspirin dosing., (© 2014 American Heart Association, Inc.)

Background: Timely reperfusion in ST-segment elevation myocardial infarction (STEMI) patients improves clinical outcomes. Implementing strategies to target institutional-specific delays are crucial for improved patient care., Methods and Results: Using a novel strategy to analyze specific components of door-to-balloon time (DBT) at our institution, we previously identified several specific interval delays in our prior STEMI protocol. We then implemented 4 strategies to reduce DBT: (1) emergency department physician activation of the STEMI protocol; (2) "single call" broadcast paging of the STEMI team by the page operator; (3) immediate feedback to the emergency and cardiology departments with joint monthly quality improvement meetings; and (4) transfer of the off-hours STEMI patient directly to the laboratory on activation by an in-hospital team. After implementation of the new protocol, we examined each component time interval from the first 59 consecutive STEMI patients treated with the new protocol between March 2007 and June 2008 and compared time intervals with the previous 184 STEMI patients. Compared with the previous 184 STEMI patients, the median DBT of the subsequent 59 STEMI patients significantly improved from 125 to 86 minutes (P<0.0001). This improvement was largely driven by a decrease in the interval from the initial 12-lead ECG to activation of the on-call catheterization team (from 40 to 11 minutes, P<0.0001)., Conclusions: After examining specific component delays in our institution's DBT, we were able to successfully use quality improvement strategies to focus on specific sources of delay in our institution. This dramatically improved our median DBT toward the goal of achieving a guideline-recommended <90 minutes for all patients.