Long term risk of death and readmission after hospital admission with covid-19 among older adults: retrospective cohort study.

OBJECTIVES: To characterize the long term risk of death and hospital readmission after an index admission with covid-19 among Medicare fee-for-service beneficiaries, and to compare these outcomes with historical control patients admitted to hospital with influenza. DESIGN: Retrospective cohort study. SETTING: United States. PARTICIPANTS: 883 394 Medicare fee-for-service beneficiaries age ≥65 years discharged alive after an index hospital admission with covid-19 between 1 March 2020 and 31 August 2022, compared with 56 409 historical controls discharged alive after a hospital admission with influenza between 1 March 2018 and 31 August 2019. Weighting methods were used to account for differences in observed characteristics. MAIN OUTCOME MEASURES: All cause death within 180 days of discharge. Secondary outcomes included first all cause readmission and a composite of death or readmission within 180 days. RESULTS: The covid-19 cohort compared with the influenza cohort was younger (77.9 v 78.9 years, standardized mean difference -0.12) and had a lower proportion of women (51.7% v 57.3%, -0.11). Both groups had a similar proportion of black beneficiaries (10.3% v 8.1%, 0.07) and beneficiaries with dual Medicaid-Medicare eligibility status (20.1% v 19.2%; 0.02). The covid-19 cohort had a lower comorbidity burden, including atrial fibrillation (24.3% v 29.5%, -0.12), heart failure (43.4% v 49.9%, -0.13), and chronic obstructive pulmonary disease (39.2% v 52.9%, -0.27). After weighting, the covid-19 cohort had a higher risk (ie, cumulative incidence) of all cause death at 30 days (10.9% v 3.9%; standardized risk difference 7.0%, 95% confidence interval 6.8% to 7.2%), 90 days (15.5% v 7.1%; 8.4%, 8.2% to 8.7%), and 180 days (19.1% v 10.5%; 8.6%, 8.3% to 8.9%) compared with the influenza cohort. The covid-19 cohort also experienced a higher risk of hospital readmission at 30 days (16.0% v 11.2%; 4.9%, 4.6% to 5.1%) and 90 days (24.1% v 21.3%; 2.8%, 2.5% to 3.2%) but a similar risk at 180 days (30.6% v 30.6%;-0.1%, -0.5% to 0.3%). Over the study period, the 30 day risk of death for patients discharged after a covid-19 admission decreased from 17.9% to 7.2%. CONCLUSIONS: Medicare beneficiaries who were discharged alive after a covid-19 hospital admission had a higher post-discharge risk of death compared with historical influenza controls; this difference, however, was concentrated in the early post-discharge period. The risk of death for patients discharged after a covid-19 related hospital admission substantially declined over the course of the pandemic.

Enriching the American Heart Association COVID-19 Cardiovascular Disease Registry Through Linkage With External Data Sources: Rationale and Design.

Background The AHA Registry (American Heart Association COVID-19 Cardiovascular Disease Registry) captures detailed information on hospitalized patients with COVID-19. The registry, however, does not capture information on social determinants of health or long-term outcomes. Here we describe the linkage of the AHA Registry with external data sources, including fee-for-service (FFS) Medicare claims, to fill these gaps and assess the representativeness of linked registry patients to the broader Medicare FFS population hospitalized with COVID-19. Methods and Results We linked AHA Registry records of adults ≥65 years from March 2020 to September 2021 with Medicare FFS claims using a deterministic linkage algorithm and with the American Hospital Association Annual Survey, Rural Urban Commuting Area codes, and the Social Vulnerability Index using hospital and geographic identifiers. We compared linked individuals with unlinked FFS beneficiaries hospitalized with COVID-19 to assess the representativeness of the AHA Registry. A total of 10 010 (47.0%) records in the AHA Registry were successfully linked to FFS Medicare claims. Linked and unlinked FFS beneficiaries were similar with respect to mean age (78.1 versus 77.9, absolute standardized difference [ASD] 0.03); female sex (48.3% versus 50.2%, ASD 0.04); Black race (15.1% versus 12.0%, ASD 0.09); dual-eligibility status (26.1% versus 23.2%, ASD 0.07); and comorbidity burden. Linked patients were more likely to live in the northeastern United States (35.7% versus 18.2%, ASD 0.40) and urban/metropolitan areas (83.9% versus 76.8%, ASD 0.18). There were also differences in hospital-level characteristics between cohorts. However, in-hospital outcomes were similar (mortality, 23.3% versus 20.1%, ASD 0.08; home discharge, 45.5% versus 50.7%, ASD 0.10; skilled nursing facility discharge, 24.4% versus 22.2%, ASD 0.05). Conclusions Linkage of the AHA Registry with external data sources such as Medicare FFS claims creates a unique and generalizable resource to evaluate long-term health outcomes after COVID-19 hospitalization.

Epidemiology and Management of ST-Segment-Elevation Myocardial Infarction in Patients With COVID-19: A Report From the American Heart Association COVID-19 Cardiovascular Disease Registry.

Background Early reports from the COVID-19 pandemic identified coronary thrombosis leading to ST-segment-elevation myocardial infarction (STEMI) as a complication of COVID-19 infection. However, the epidemiology of STEMI in patients with COVID-19 is not well characterized. We sought to determine the incidence, diagnostic and therapeutic approaches, and outcomes in STEMI patients hospitalized for COVID-19. Methods and Results Patients with data on presentation ECG and in-hospital myocardial infarction were identified from January 14, 2020 to November 30, 2020, from 105 sites participating in the American Heart Association COVID-19 Cardiovascular Disease Registry. Patient characteristics, resource use, and clinical outcomes were summarized and compared based on the presence or absence of STEMI. Among 15 621 COVID-19 hospitalizations, 54 (0.35%) patients experienced in-hospital STEMI. Among patients with STEMI, the majority (n=40, 74%) underwent transthoracic echocardiography, but only half (n=27, 50%) underwent coronary angiography. Half of all patients with COVID-19 and STEMI (n=27, 50%) did not undergo any form of primary reperfusion therapy. Rates of all-cause shock (47% versus 14%), cardiac arrest (22% versus 4.8%), new heart failure (17% versus 1.4%), and need for new renal replacement therapy (11% versus 4.3%) were multifold higher in patients with STEMI compared with those without STEMI (P<0.050 for all). Rates of in-hospital death were 41% in patients with STEMI, compared with 16% in those without STEMI (P<0.001). Conclusions STEMI in hospitalized patients with COVID-19 is rare but associated with poor in-hospital outcomes. Rates of coronary angiography and primary reperfusion were low in this population of patients with STEMI and COVID-19. Adaptations of systems of care to ensure timely contemporary treatment for this population are needed.

Association of COVID-19 Hospitalization Volume and Case Growth at US Hospitals with Patient Outcomes.

BACKGROUND: Whether the volume of coronavirus disease 2019 (COVID-19) hospitalizations is associated with outcomes has important implications for the organization of hospital care both during this pandemic and future novel and rapidly evolving high-volume conditions. METHODS: We identified COVID-19 hospitalizations at US hospitals in the American Heart Association COVID-19 Cardiovascular Disease Registry with ≥10 cases between January and August 2020. We evaluated the association of COVID-19 hospitalization volume and weekly case growth indexed to hospital bed capacity, with hospital risk-standardized in-hospital case-fatality rate (rsCFR). RESULTS: There were 85 hospitals with 15,329 COVID-19 hospitalizations, with a median hospital case volume was 118 (interquartile range, 57, 252) and median growth rate of 2 cases per 100 beds per week but varied widely (interquartile range: 0.9 to 4.5). There was no significant association between overall hospital COVID-19 case volume and rsCFR (rho, 0.18, P = .09). However, hospitals with more rapid COVID-19 case-growth had higher rsCFR (rho, 0.22, P = 0.047), increasing across case growth quartiles (P trend = .03). Although there were no differences in medical treatments or intensive care unit therapies (mechanical ventilation, vasopressors), the highest case growth quartile had 4-fold higher odds of above median rsCFR, compared with the lowest quartile (odds ratio, 4.00; 1.15 to 13.8, P = .03). CONCLUSIONS: An accelerated case growth trajectory is a marker of hospitals at risk of poor COVID-19 outcomes, identifying sites that may be targets for influx of additional resources or triage strategies. Early identification of such hospital signatures is essential as our health system prepares for future health challenges.

Implantable Cardioverter Defibrillator Utilization and Mortality Among Patients ≥65 Years of Age With a Low Ejection Fraction After Coronary Revascularization.

The purpose of this analysis was to assess implantable cardioverter-defibrillator (ICD) utilization and its association with mortality among patients ≥65 years of age after coronary revascularization. Patients in the National Cardiovascular Database Registry Chest Pain-Myocardial Infarction (MI) Registry who presented with MI from January 2, 2009 to December 31, 2016, had a left ventricular ejection fraction ≤35% and underwent in-hospital revascularization (10,014 percutaneous coronary intervention (PCI) and 1,647 coronary artery bypass grafting (CABG)) were linked with Medicare claims to determine rates of 1-year ICD implantation. The association between ICD implantation and 2-year mortality was assessed. Of 11,661 included patients, an ICD was implanted in 1,234 (10.6%) within 1 year of revascularization (1,063 (10.6%) PCI and 171 (10.4%) CABG). Among PCI-treated patients, in-hospital ventricular arrhythmia (adjusted hazard ratio [aHR] 1.60, 95% confidence interval [CI] 1.34 to 1.92), 2-week cardiology follow-up (aHR 1.48, 95% CI 1.29 to 1.70), readmission for heart failure (aHR 3.21, 95% CI 2.73 to 3.79), and readmission for MI (aHR 2.18, 95% CI 1.66 to 2.85) were positively associated with ICD implantation. Among CABG-treated patients, in-hospital ventricular arrhythmia (aHR 2.33, 95% CI 1.39 to 3.91), and heart failure readmission (aHR 3.14, 95% CI 1.96 to 5.04) were positively associated with ICD implantation. Women were less likely to receive an ICD, regardless of the revascularization strategy. ICD implantation was associated with lower 2-year all-cause mortality (aHR 0.74, 95% CI 0.63 to 0.86). In conclusion, only 1 in 10 Medicare patients with low ejection fraction received an ICD within 1 year after revascularization. Contact with the healthcare system after discharge was associated with higher likelihood of ICD implantation. ICD implantation was associated with lower mortality following revascularization for MI.

Racial and Ethnic Differences in Presentation and Outcomes for Patients Hospitalized With COVID-19: Findings From the American Heart Association's COVID-19 Cardiovascular Disease Registry.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has exposed longstanding racial and ethnic inequities in health risks and outcomes in the United States. We aimed to identify racial and ethnic differences in presentation and outcomes for patients hospitalized with COVID-19. METHODS: The American Heart Association COVID-19 Cardiovascular Disease Registry is a retrospective observational registry capturing consecutive patients hospitalized with COVID-19. We present data on the first 7868 patients by race/ethnicity treated at 88 hospitals across the United States between January 17, 2020, and July 22, 2020. The primary outcome was in-hospital mortality. Secondary outcomes included major adverse cardiovascular events (death, myocardial infarction, stroke, heart failure) and COVID-19 cardiorespiratory ordinal severity score (worst to best: death, cardiac arrest, mechanical ventilation with mechanical circulatory support, mechanical ventilation with vasopressors/inotrope support, mechanical ventilation without hemodynamic support, and hospitalization alone. Multivariable logistic regression analyses were performed to assess the relationship between race/ethnicity and each outcome adjusting for differences in sociodemographic, clinical, and presentation features, and accounting for clustering by hospital. RESULTS: Among 7868 patients hospitalized with COVID-19, 33.0% were Hispanic, 25.5% were non-Hispanic Black, 6.3% were Asian, and 35.2% were non-Hispanic White. Hispanic and Black patients were younger than non-Hispanic White and Asian patients and were more likely to be uninsured. Black patients had the highest prevalence of obesity, hypertension, and diabetes. Black patients also had the highest rates of mechanical ventilation (23.2%) and renal replacement therapy (6.6%) but the lowest rates of remdesivir use (6.1%). Overall mortality was 18.4% with 53% of all deaths occurring in Black and Hispanic patients. The adjusted odds ratios for mortality were 0.93 (95% CI, 0.76-1.14) for Black patients, 0.90 (95% CI, 0.73-1.11) for Hispanic patients, and 1.31 (95% CI, 0.96-1.80) for Asian patients compared with non-Hispanic White patients. The median odds ratio across hospitals was 1.99 (95% CI, 1.74-2.48). Results were similar for major adverse cardiovascular events. Asian patients had the highest COVID-19 cardiorespiratory severity at presentation (adjusted odds ratio, 1.48 [95% CI, 1.16-1.90]). CONCLUSIONS: Although in-hospital mortality and major adverse cardiovascular events did not differ by race/ethnicity after adjustment, Black and Hispanic patients bore a greater burden of mortality and morbidity because of their disproportionate representation among COVID-19 hospitalizations.

Combining Biomarkers and Imaging for Short-Term Assessment of Cardiovascular Disease Risk in Apparently Healthy Adults.

Background Current strategies for cardiovascular disease (CVD) risk assessment focus on 10-year or longer timeframes. Shorter-term CVD risk is also clinically relevant, particularly for high-risk occupations, but is under-investigated. Methods and Results We pooled data from participants in the ARIC (Atherosclerosis Risk in Communities study), MESA (Multi-Ethnic Study of Atherosclerosis), and DHS (Dallas Heart Study), free from CVD at baseline (N=16 581). Measurements included N-terminal pro-B-type natriuretic peptide (>100 pg/mL prospectively defined as abnormal); high-sensitivity cardiac troponin T (abnormal >5 ng/L); high-sensitivity C-reactive protein (abnormal >3 mg/L); left ventricular hypertrophy by ECG (abnormal if present); carotid intima-media thickness, and plaque (abnormal >75th percentile for age and sex or presence of plaque); and coronary artery calcium (abnormal >10 Agatston U). Each abnormal test result except left ventricular hypertrophy by ECG was independently associated with increased 3-year risk of global CVD (myocardial infarction, stroke, coronary revascularization, incident heart failure, or atrial fibrillation), even after adjustment for traditional CVD risk factors and the other test results. When a simple integer score counting the number of abnormal tests was used, 3-year multivariable-adjusted global CVD risk was increased among participants with integer scores of 1, 2, 3, and 4, by ≈2-, 3-, 4.5- and 8-fold, respectively, when compared with those with a score of 0. Qualitatively similar results were obtained for atherosclerotic CVD (fatal or non-fatal myocardial infarction or stroke). Conclusions A strategy incorporating multiple biomarkers and atherosclerosis imaging improved assessment of 3-year global and atherosclerotic CVD risk compared with a standard approach using traditional risk factors.

Temporal Trends in Racial Differences in 30-Day Readmission and Mortality Rates After Acute Myocardial Infarction Among Medicare Beneficiaries.

Importance: The association of the Hospital Readmission Reduction Program (HRRP) with reductions in racial disparities in 30-day outcomes for myocardial infarction (MI), is unknown, including whether this varies by HRRP hospital penalty status. Objective: To assess temporal trends in 30-day readmission and mortality rates among black and nonblack patients discharged after hospitalization for acute MI at low-performing and high-performing hospitals, as defined by readmission penalty status after HRRP implementation. Design, Setting, and Participants: This observational cohort analysis used data from the multicenter National Cardiovascular Data Registry Chest Pain-MI Registry centers that were subject to the first cycle of HRRP, between January 1, 2008, and November 30, 2016. All patients hospitalized with MI who were included in National Cardiovascular Data Registry Chest Pain-MI Registry were included in the analysis. Data were analyzed from April 2018 to September 2019. Exposures: Hospital performance category and race (black compared with nonblack patients). Centers were classified as high performing or low performing based on the excess readmission ratio (predicted to expected 30-day risk adjusted readmission rate) for MI during the first HRRP cycle (in October 2012). Main Outcomes and Measures: Thirty-day all-cause readmission and mortality rates. Results: Among 753 hospitals that treated 155 397 patients with acute MI (of whom 11 280 [7.3%] were black), 399 hospitals (53.0%) were high performing. Thirty-day readmission rates declined over time in both black and nonblack patients (annualized 30-day readmission rate: 17.9% vs 20.8%). Black (compared with nonblack) race was associated with higher unadjusted odds of 30-day readmission in both low-performing and high-performing centers (odds ratios: before HRRP: low-performing hospitals, 1.14 [95% CI, 1.03-1.26]; P = .01; high-performing hospitals, 1.17 [95% CI, 1.04-1.32]; P = .01; after HRRP: low-performing hospitals, 1.23 [95% CI, 1.13-1.34]; P < .001; high-performing hospitals, 1.25 [95% CI, 1.12-1.39]; P < .001). However, these racial differences were not significant after adjustment for patient characteristics. The 30-day mortality rates declined significantly over time in nonblack patients, with stable (nonsignificant) temporal trends among black patients. Adjusted associations between race and 30-day mortality showed that 30-day mortality rates were significantly lower among black (compared with nonblack) patients in the low-performing hospitals (odds ratios: pre-HRRP, 0.79 [95% CI, 0.63-0.97]; P = .03; post-HRRP, 0.80 [95% CI, 0.68-0.95]; P = .01) but not in high-performing hospitals. Finally, the association between race and 30-day outcomes did not vary after the HRRP period began in either high-performing or low-performing hospitals. Conclusions and Relevance: In this analysis, 30-day readmission rates among patients with MI declined over time for both black and nonblack patients. Differences in race-specific 30-day readmission rates persisted but appeared to be attributable to patient-level factors. The 30-day mortality rates have declined for nonblack patients and remained stable among black patients. Implementation of the HRRP was not associated with improvement or worsening of racial disparities in readmission and mortality rates.

Incorporation of Biomarkers Into Risk Assessment for Allocation of Antihypertensive Medication According to the 2017 ACC/AHA High Blood Pressure Guideline: A Pooled Cohort Analysis.

BACKGROUND: Risk for atherosclerotic cardiovascular disease was a novel consideration for antihypertensive medication initiation in the 2017 American College of Cardiology/American Heart Association Blood Pressure (BP) guideline. Whether biomarkers of chronic myocardial injury (high-sensitivity cardiac troponin T ≥6 ng/L] and stress (N-terminal pro-B-type natriuretic peptide [NT-proBNP] ≥100 pg/mL) can inform cardiovascular (CV) risk stratification and treatment decisions among adults with elevated BP and hypertension is unclear. METHODS: Participant-level data from 3 cohort studies (Atherosclerosis Risk in Communities Study, Dallas Heart Study, and Multiethnic Study of Atherosclerosis) were pooled, excluding individuals with prevalent CV disease and those taking antihypertensive medication at baseline. Participants were analyzed according to BP treatment group from the 2017 American College of Cardiology/American Heart Association BP guideline and those with high BP (120 to 159/<100 mm Hg) were further stratified by biomarker status. Cumulative incidence rates for CV event (atherosclerotic cardiovascular disease or heart failure), and the corresponding 10-year number needed to treat to prevent 1 event with intensive BP lowering (to target systolic BP <120 mm Hg), were estimated for BP and biomarker-based subgroups. RESULTS: The study included 12 987 participants (mean age, 55 years; 55% women; 21.5% with elevated high-sensitivity cardiac troponin T; 17.7% with elevated NT-proBNP) with 825 incident CV events over 10-year follow-up. Participants with elevated BP or hypertension not recommended for antihypertensive medication with versus without either elevated high-sensitivity cardiac troponin T or NT-proBNP had a 10-year CV incidence rate of 11.0% and 4.6%, with a 10-year number needed to treat to prevent 1 event for intensive BP lowering of 36 and 85, respectively. Among participants with stage 1 or stage 2 hypertension recommended for antihypertensive medication with BP <160/100 mm Hg, those with versus without an elevated biomarker had a 10-year CV incidence rate of 15.1% and 7.9%, with a 10-year number needed to treat to prevent 1 event of 26 and 49, respectively. CONCLUSIONS: Elevations in high-sensitivity cardiac troponin T or NT-proBNP identify individuals with elevated BP or hypertension not currently recommended for antihypertensive medication who are at high risk for CV events. The presence of nonelevated biomarkers, even in the setting of stage 1 or stage 2 hypertension, was associated with lower risk. Incorporation of biomarkers into risk assessment algorithms may lead to more appropriate matching of intensive BP control with patient risk.

Cost-Related Medication Nonadherence in Adults With Atherosclerotic Cardiovascular Disease in the United States, 2013 to 2017.

BACKGROUND: Medication nonadherence is associated with worse outcomes in patients with atherosclerotic cardiovascular disease (ASCVD), a group who requires long-term therapy for secondary prevention. It is important to understand to what extent drug costs, which are potentially actionable factors, contribute to medication nonadherence. METHODS: In a nationally representative survey of US adults in the National Health Interview Survey (2013-2017), we identified individuals ≥18 years with a reported history of ASCVD. Participants were considered to have experienced cost-related nonadherence (CRN) if in the preceding 12 months they reported skipping doses to save money, taking less medication to save money, or delaying filling a prescription to save money. We used survey analysis to obtain national estimates. RESULTS: Of the 14 279 surveyed individuals with ASCVD, a weighted 12.6% (or 2.2 million [95% CI, 2.1-2.4]) experienced CRN, including 8.6% or 1.5 million missing doses, 8.8% or 1.6 million taking lower than prescribed doses, and 10.5% or 1.9 million intentionally delaying a medication fill to save costs. Age <65 years, female sex, low family income, lack of health insurance, and high comorbidity burden were independently associated with CRN, with >1 in 5 reporting CRN in these subgroups. Survey respondents with CRN compared with those without CRN had 10.8-fold higher odds of requesting low-cost medications and 8.9-fold higher odds of using alternative, nonprescription, therapies. CONCLUSIONS: One in 8 patients with ASCVD reports nonadherence to medications because of cost. The removal of financial barriers to accessing medications, particularly among vulnerable patient groups, may help improve adherence to essential therapy to reduce ASCVD morbidity and mortality.

Assessment and Treatment of Patients With Type 2 Myocardial Infarction and Acute Nonischemic Myocardial Injury.

Although coronary thrombus overlying a disrupted atherosclerotic plaque has long been considered the hallmark and the primary therapeutic target for acute myocardial infarction (MI), multiple other mechanisms are now known to cause or contribute to MI. It is further recognized that an MI is just one of many types of acute myocardial injury. The Fourth Universal Definition of Myocardial Infarction provides a taxonomy for acute myocardial injury, including 5 subtypes of MI and nonischemic myocardial injury. The diagnosis of MI is reserved for patients with myocardial ischemia as the cause of myocardial injury, whether attributable to acute atherothrombosis (type 1 MI) or supply/demand mismatch without acute atherothrombosis (type 2 MI). Myocardial injury in the absence of ischemia is categorized as acute or chronic nonischemic myocardial injury. However, optimal evaluation and treatment strategies for these etiologically distinct diagnoses have yet to be defined. Herein, we review the epidemiology, risk factor associations, and diagnostic tools that may assist in differentiating between nonischemic myocardial injury, type 1 MI, and type 2 MI. We identify limitations, review new research, and propose a framework for the diagnostic and therapeutic approach for patients who have suspected MI or other causes of myocardial injury.

Association of the New Peer Group-Stratified Method With the Reclassification of Penalty Status in the Hospital Readmission Reduction Program.

Importance: Since the introduction of the Hospital Readmission Reduction Program (HRRP), readmission penalties have been applied disproportionately to institutions that serve low-income populations. To address this concern, the US Centers for Medicare & Medicaid introduced a new, stratified payment adjustment method in fiscal year (FY; October 1 to September 30) 2019. Objective: To determine whether the introduction of a new, stratified payment adjustment method was associated with an alteration in the distribution of penalties among hospitals included in the HRRP. Design, Setting, and Participants: In this retrospective cross-sectional study, US hospitals included in the HRRP for FY 2018 and FY 2019 were identified. Penalty status of participating hospitals for FY 2019 was determined based on nonstratified HRRP methods and the new, stratified payment adjustment method. Hospitals caring for the highest proportion of patients enrolled in both Medicare and Medicaid based on quintile were assigned to the low-socioeconomic status (SES) group. Exposures: Nonstratified and stratified Centers for Medicare & Medicaid payment adjustment methods. Main Outcomes and Measures: Net reclassification of penalties among all hospitals and hospitals in the low-SES group, in states participating in Medicaid expansion, and for 4 targeted medical conditions (acute myocardial infarction, heart failure, chronic obstructive pulmonary disease, and pneumonia). Results: Penalty status by both payment adjustment methods (nonstratified and stratified) was available for 3173 hospitals. For FY 2019, the new, stratified payment method was associated with penalties for 75.04% of hospitals (2381 of 3173), while the old, nonstratified method was associated with penalties for 79.07% (2509 hospitals), resulting in a net down-classification in penalty status for all hospitals by 4.03 percentage points (95% CI, 2.95-5.11; P < .001). For the 634 low-SES hospitals in the sample, the new method was associated with penalties for 77.60% of hospitals (492 of 634), while the old method was associated with penalties for 91.64% (581 hospitals), resulting in a net down-classification in penalty status of 14.04 percentage points (95% CI, 11.18-16.90; P < .001). Among hospitals that were not low SES (quintiles 1-4), the new payment method was associated with a small decrease in penalty status (1928 vs 1889; net down-classification, 1.54 percentage points; 95% CI, 0.38-2.69; P = .01). Among target medical conditions, the greatest reduction in penalties was observed among cardiovascular conditions (net down-classification, 6.18 percentage points; 95% CI, 4.96-7.39; P < .001). Conclusions and Relevance: The new, stratified payment adjustment method for the HRRP was associated with a reduction in penalties across hospitals included in the program; the greatest reductions were observed among hospitals in the low-SES group, lessening but not eliminating the previously unbalanced penalty burden carried by these hospitals. Additional public policy research efforts are needed to achieve equitable payment adjustment models for all hospitals.

Intensive Care Utilization in Stable Patients With ST-Segment Elevation Myocardial Infarction Treated With Rapid Reperfusion.

OBJECTIVES: The aims of this study were to describe variability in intensive care unit (ICU) utilization for patients with uncomplicated ST-segment elevation myocardial infarction (STEMI), evaluate the proportion of these patients who developed in-hospital complications requiring ICU care, and assess whether ICU use patterns and complication rates vary across categories of first medical contact to device times. BACKGROUND: In the era of rapid primary percutaneous coronary intervention, ICUs may be overutilized as patients presenting with STEMI are less likely to develop complications requiring ICU care. METHODS: Using data from the Chest Pain-MI Registry linked to Medicare claims, the authors examined patterns of ICU utilization among hemodynamically stable patients with STEMI ≥65 years of age treated with uncomplicated primary percutaneous coronary intervention, stratified by timing of reperfusion: early (first medical contact-to-device time ≤60 min), intermediate (61 to 90 min), or late (>90 min). RESULTS: Of 19,507 patients with STEMI treated at 707 hospitals, 82.3% were treated in ICUs, with a median ICU stay of 1 day (interquartile range [IQR]: 1 to 2 days). The median FMC-to-device time was 79 min (IQR: 63 to 99 min); 22.0% of patients had early, 44.8% intermediate, and 33.2% late reperfusion. ICU utilization rates did not differ between patients with early, intermediate, and late reperfusion times (82%, 83%, and 82%; p for trend = 0.44). Overall, 3,159 patients (16.2%) developed complications requiring ICU care while hospitalized: 3.7% died, 3.7% had cardiac arrest, 8.7% shock, 0.9% stroke, 4.1% high-grade atrioventricular block requiring treatment, and 5.7% respiratory failure. Patients with longer FMC-to-device times were more likely to develop at least 1 of these complications (early 13.4%, intermediate 15.7%, and late 18.7%; p for trend <0.001; adjusted odds ratio [early as reference] for intermediate: 1.13 [95% confidence interval: 1.01 to 1.25]; adjusted odds ratio for late: 1.22 [95% confidence interval: 1.08 to 1.37]). CONCLUSIONS: Although >80% of stable patients with STEMI are treated in the ICU after primary percutaneous coronary intervention, the risk for developing a complication requiring ICU care is 16%. Implementing a risk-based triage strategy, inclusive of factors such as degree of reperfusion delay, could optimize ICU utilization for patients with STEMI.

Physician-Specific Practice Patterns About Discharge Readiness and Heart Failure Utilization Outcomes.

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.

Association of Out-of-Pocket Annual Health Expenditures With Financial Hardship in Low-Income Adults With Atherosclerotic Cardiovascular Disease in the United States.

Importance: Health insurance is effective in preventing financial hardship from unexpected major health care events. However, it is also essential to assess whether vulnerable patients, particularly those from low-income families, are adequately protected from longitudinal health care costs for common chronic conditions such as atherosclerotic cardiovascular disease (ASCVD). Objective: To examine the annual burden of total out-of-pocket health expenses among low-income families that included a member with ASCVD. Design, Setting, and Participants: In this cross-sectional study of the Medical Expenditure Panel Survey from January 2006 through December 2015, all families with 1 or more members with ASCVD were identified. Families were classified as low income if they had an income under 200% of the federal poverty limit. Analyses began December 2017. Main Outcomes and Measures: Total annual inflation-adjusted out-of-pocket expenses, inclusive of insurance premiums, for all patients with ASCVD. We compared these expenses against annual family incomes. Out-of-pocket expenses of more than 20% and more than 40% of family income defined high and catastrophic financial burden, respectively. Results: We identified 22 521 adults with ASCVD, represented in 20 600 families in the Medical Expenditure Panel Survey. They correspond to an annual estimated 23 million or 9.9% of US adults with a mean (SE) age of 65 (0.2) years and included 10.9 million women (47.1%). They were represented in 21 million or 15% of US families. Of these, 8.2 million families (39%) were low income. The mean annual family income was $57 143 (95% CI, $55 377-$58 909), and the mean out-of-pocket expense was $4415 (95% CI, $3735-$3976). While financial burden from health expenses decreased throughout the study, even in 2014 and 2015, low-income families had 3-fold higher odds than mid/high-income families of high financial burden (21.4% vs 7.6%; OR, 3.31; 95% CI, 2.55-4.31) and 9-fold higher odds of catastrophic financial burden (9.8% vs 1.2%; OR, 9.35; 95% CI, 5.39-16.20), representing nearly 2 million low-income families nationally. Further, even among the insured, 1.6 million low-income families (21.8%) experienced high financial burden and 721 000 low-income families (9.8%) experienced catastrophic out-of-pocket health care expenses in 2014 and 2015. Conclusions and Relevance: One in 4 low-income families with a member with ASCVD, including those with insurance coverage, experience a high financial burden, and 1 in 10 experience a catastrophic financial burden due to cumulative out-of-pocket health care expenses. To alleviate economic disparities, policy interventions must extend focus to improving not only access, but also quality of coverage, particularly for low-income families.

Neighborhood Socioeconomic Disadvantage and Care After Myocardial Infarction in the National Cardiovascular Data Registry.

BACKGROUND: Patients living in disadvantaged neighborhoods are at high risk for adverse outcomes after acute myocardial infarction (MI). Whether residential socioeconomic status (SES) is associated with quality of in-hospital care among patients presenting with MI is unclear. METHODS AND RESULTS: Multivariable logistic regression was used to examine the relationship between SES, quality of care, and in-hospital cardiovascular outcomes among patients with MI from diverse SES neighborhoods from July 2008 to December 2013, at 586 participating hospitals in the Acute Coronary Treatment and Intervention Outcomes Network Registry-Get With The Guidelines quality improvement program. Patients were categorized according to which SES summary measure group they resided in through linkage with US census block data. Outcomes were in-hospital mortality and major adverse cardiovascular events. Quality of MI care was assessed with the defect-free care measure that delineates the proportion of eligible patients who received all acute and discharge guideline-recommended therapies. Among 390 692 patients, there was a substantially longer median arrival-to-angiography time in lower SES neighborhoods (lowest 8.0 hours, low 5.5 hours, medium 4.8 hours, high 4.5 hours, highest 3.4 hours; P<0.0001), and a higher proportion of ST-segment-elevation myocardial infarction patients treated with fibrinolysis (lowest 23.1%, low 20.2%, medium 18.0%, high 14.2%, highest 5.9%; P<0.0001). However, after adjustment for clinical risk factors, insurance status, and hospital characteristics, socioeconomic disadvantage was not associated with lower rates of guideline-recommended defect-free acute care. Patients presenting from more disadvantaged neighborhoods had a progressively higher independent risk of in-hospital mortality (Pglobal=0.03) and major bleeding (Pglobal<0.001), along with lower quality of discharge care. CONCLUSIONS: In this national registry of MI, patients living in the most disadvantaged neighborhoods received equitable in-hospital care compared with advantaged neighborhoods. However, they experienced substantial delays in receiving angiography. Furthermore, patients living in disadvantaged neighborhoods remain at higher risk of adverse in-hospital outcomes after MI, including mortality. These observations suggest there are further opportunities for improvement in acute and discharge MI care.

Risk Score to Predict Need for Intensive Care in Initially Hemodynamically Stable Adults With Non-ST-Segment-Elevation Myocardial Infarction.

BACKGROUND: Intensive care unit (ICU) use for initially stable patients presenting with non-ST-segment-elevation myocardial infarction (NSTEMI) varies widely across hospitals and minimally correlates with severity of illness. We aimed to develop a bedside risk score to assist in identifying high-risk patients with NSTEMI for ICU admission. METHODS AND RESULTS: Using the Acute Coronary Treatment and Intervention Outcomes Network (ACTION) Registry linked to Medicare data, we identified patients with NSTEMI aged ≥65 years without cardiogenic shock or cardiac arrest on presentation. Complications requiring ICU care were defined as subsequent development of cardiac arrest, shock, high-grade atrioventricular block, respiratory failure, stroke, or death during the index hospitalization. We developed and validated a model and integer risk score (Acute Coronary Treatment and Intervention Outcomes Network (ACTION) ICU risk score) that uses variables present at hospital admission to predict requirement for ICU care. Of 29 973 patients with NSTEMI, 4282 (14%) developed a complication requiring ICU-level care, yet 12 879 (43%) received care in an ICU. Signs or symptoms of heart failure, initial heart rate, initial systolic blood pressure, initial troponin, initial serum creatinine, prior revascularization, chronic lung disease, ST-segment depression, and age had statistically significant associations with requirement for ICU care after adjusting for other risk factors. The ACTION ICU risk score had a C-statistic of 0.72. It identified 11% of patients as having very high risk (>30%) of developing complications requiring ICU care and 49% as having low likelihood (<10%) of requiring an ICU. CONCLUSIONS: The ACTION ICU risk score quantifies the risk of initially stable patients with NSTEMI developing a complication requiring ICU care, and could be used to more effectively allocate limited ICU resources.

Contemporary Epidemiology of Heart Failure in Fee-For-Service Medicare Beneficiaries Across Healthcare Settings.

BACKGROUND: To assess the current landscape of the heart failure (HF) epidemic and provide targets for future health policy interventions in Medicare, a contemporary appraisal of its epidemiology across inpatient and outpatient care settings is needed. METHODS AND RESULTS: In a national 5% sample of Medicare beneficiaries from 2002 to 2013, we identified a cohort of 2 331 939 unique fee-for-service Medicare beneficiaries ≥65-years-old followed for all inpatient and outpatient encounters over a 10-year period (2004-2013). Preexisting HF was defined by any HF encounter during the first year, and incident HF with either 1 inpatient or 2 outpatient HF encounters. Mean age of the cohort was 72 years; 57% were women, and 86% and 8% were white and black, respectively. Within this cohort, 518 223 patients had preexisting HF, and 349 826 had a new diagnosis of HF during the study period. During 2004 to 2013, the rates of incident HF declined 32%, from 38.7 per 1000 (2004) to 26.2 per 1000 beneficiaries (2013). In contrast, prevalent (preexisting + incident) HF increased during our study period from 162 per 1000 (2004) to 172 per 1000 beneficiaries (2013) (Ptrend <0.001 for both). Finally, the overall 1-year mortality among patients with incident HF is high (24.7%) with a 0.4% absolute decline annually during the study period, with a more pronounced decrease among those diagnosed in an inpatient versus outpatient setting (Pinteraction <0.001) CONCLUSIONS: In recent years, there have been substantial changes in the epidemiology of HF in Medicare beneficiaries, with a decline in incident HF and a decrease in 1-year HF mortality, whereas the overall burden of HF continues to increase.

The obesity paradox, extreme obesity, and long-term outcomes in older adults with ST-segment elevation myocardial infarction: results from the NCDR.

Aims: To investigate the obesity paradox and association of extreme obesity with long-term outcomes among older ST-segment elevation myocardial infarction (STEMI) patients. Methods and results: Nineteen thousand four hundred and ninety-nine patients ≥65 years with STEMI surviving to hospital discharge in NCDR ACTION Registry-GWTG linked to Centers for Medicare and Medicaid Services outcomes between 2007 and 2012 were stratified by body mass index (BMI) (kg/m2) into normal weight (18.5-24.9), overweight (25-29.9), class I (30-34.9), class II (35-39.9), and class III/extreme obese (≥40) categories. Multivariable-adjusted associations were evaluated between BMI categories and mortality by Cox proportional hazards models, and days alive and out of hospital (DAOH) by generalized estimating equations, within 3 years after discharge. Seventy percent of patients were overweight/obese and 3% extremely obese. Normal weight patients were older and more likely to smoke; while extremely obese patients were younger and more likely to be female and black, with lower socioeconomic status and more comorbidity (P ≤ 0.001). A U-shaped association was observed between BMI categories and mortality: patients with class I obesity were at lowest risk, while normal weight [hazard ratio (HR) 1.30, 95% confidence interval (CI) 1.15-1.47] and extremely obese patients (HR 1.33, 95% CI 1.02-1.74) had higher mortality. Normal weight [odds ratio (OR) 0.79, 95% CI 0.68-0.90] and extremely obese (OR 0.73, 95% CI 0.54-0.99) individuals also had lower odds of DAOH. Conclusion: Mild obesity is associated with lower long-term risk in older STEMI patients, while normal weight and extreme obesity are associated with worse outcomes. These findings highlight hazards faced by an increasing number of older individuals with normal weight or extreme obesity and cardiovascular disease.