Cause-Specific Health Care Costs Following Hospitalization for Heart Failure and Cost Offset With SGLT2i Therapy.

BACKGROUND: Little is known regarding differences in cause-specific costs between heart failure (HF) with ejection fraction (EF) ≤40% vs >40%, and potential cost implications of sodium glucose co-transporter 2 inhibitor (SGLT2i) therapy. OBJECTIVES: This study sought to compare cause-specific health care costs following hospitalization for HF with EF ≤40% vs >40% and estimate the cost offset with implementation of SGLT2i therapy. METHODS: This study examined Medicare beneficiaries hospitalized for HF in the Get With The Guidelines-Heart Failure registry from 2016 to 2020. Mean per-patient total (excluding drug costs) and cause-specific costs from discharge through 1-year follow-up were calculated and compared between EF ≤40% vs >40%. Next, risk reductions on total all-cause and HF hospitalizations were estimated in a trial-level meta-analysis of 5 pivotal trials of SGLT2is in HF. Finally, these relative treatment effects were applied to Medicare beneficiaries eligible for SGLT2i therapy to estimate the projected cost offset with implementation of SGLT2i, excluding drug costs. RESULTS: Among 146,003 patients, 50,598 (34.7%) had EF ≤40% and 95,405 (65.3%) had EF >40%. Mean total cost through 1 year was $40,557. Total costs were similar between EF groups overall but were higher for EF ≤40% among patients surviving the 1-year follow-up period. Patients with EF >40% had higher costs caused by non-HF and noncardiovascular hospitalizations, and skilled nursing facilities (all P < 0.001). Trial-level meta-analysis of the 5 SGLT2i clinical trials estimated 11% (rate ratio: 0.89; 95% CI: 0.84-0.93; P < 0.001) and 29% (rate ratio: 0.71; 95% CI: 0.66-0.76; P < 0.001) relative reductions in rates of total all-cause and HF hospitalizations, respectively, regardless of EF. Reductions in all-cause and HF hospitalizations were projected to reduce annual costs of readmission by $2,451 to $2,668 per patient with EF ≤40% and $1,439 to $2,410 per patient with EF >40%. CONCLUSIONS: In this large cohort of older U.S. adults hospitalized for HF, cause-specific costs of care differed among patients with EF ≤40% vs >40%. SGLT2i significantly reduced the rate of HF and all-cause hospitalizations irrespective of EF in clinical trials, and implementation of SGLT2i therapy in clinical practice is projected to reduce costs by $1,439 to $2,668 per patient over the 1 year post-discharge, excluding drug costs.

Identification and outcomes of KDIGO-defined chronic kidney disease in 1.4 million U.S. Veterans with heart failure.

AIMS: According to the Kidney Disease: Improving Global Outcomes (KDIGO) guideline, the definition of chronic kidney disease (CKD) requires the presence of abnormal kidney structure or function for >3 months with implications for health. CKD in patients with heart failure (HF) has not been defined using this definition, and less is known about the true health implications of CKD in these patients. The objective of the current study was to identify patients with HF who met KDIGO criteria for CKD and examine their outcomes. METHODS AND RESULTS: Of the 1 419 729 Veterans with HF not receiving kidney replacement therapy, 828 744 had data on ≥2 ambulatory serum creatinine >90 days apart. CKD was defined as estimated glomerular filtration rate (eGFR) <60 ml/min/1.73 m2 (n = 185 821) or urinary albumin-to-creatinine ratio (uACR) >30 mg/g (n = 32 730) present twice >3 months apart. Normal kidney function (NKF) was defined as eGFR ≥60 ml/min/1.73 m2, present for >3 months, without any uACR >30 mg/g (n = 365 963). Patients with eGFR <60 ml/min/1.73 m2 were categorized into four stages: 45-59 (n = 72 606), 30-44 (n = 74 812), 15-29 (n = 32 077), and <15 (n = 6326) ml/min/1.73 m2. Five-year all-cause mortality occurred in 40.4%, 57.8%, 65.6%, 73.3%, 69.7%, and 47.5% of patients with NKF, four eGFR stages, and uACR >30mg/g (albuminuria), respectively. Compared with NKF, hazard ratios (HR) (95% confidence intervals [CI]) for all-cause mortality associated with the four eGFR stages and albuminuria were 1.63 (1.62-1.65), 2.00 (1.98-2.02), 2.49 (2.45-2.52), 2.28 (2.21-2.35), and 1.22 (1.20-1.24), respectively. Respective age-adjusted HRs (95% CIs) were 1.13 (1.12-1.14), 1.36 (1.34-1.37), 1.87 (1.84-1.89), 2.24 (2.18-2.31) and 1.19 (1.17-1.21), and multivariable-adjusted HRs (95% CIs) were 1.11 (1.10-1.12), 1.24 (1.22-1.25), 1.46 (1.43-1.48), 1.42 (1.38-1.47), and 1.13 (1.11-1.16). Similar patterns were observed for associations with hospitalizations. CONCLUSION: Data needed to define CKD using KDIGO criteria were available in six out of ten patients, and CKD could be defined in seven out of ten patients with data. HF patients with KDIGO-defined CKD had higher risks for poor outcomes, most of which was not explained by abnormal kidney structure or function. Future studies need to examine whether CKD defined using a single eGFR is characteristically and prognostically different from CKD defined using KDIGO criteria.

National Trends in Hospital Performance in Guideline-Recommended Pharmacologic Treatment for Heart Failure at Discharge.

BACKGROUND: The use of recommended heart failure (HF) medications has improved over time, but opportunities for improvement persist among women and at rural hospitals. OBJECTIVES: This study aims to characterize national trends in performance in the use of guideline-recommended pharmacologic treatment for HF at U.S. Department of Veterans Affairs (VA) hospitals, at which medication copayments are modest. METHODS: Among patients discharged from VA hospitals with HF between January 1, 2013, and December 31, 2019, receipt of all guideline-recommended HF pharmacotherapy among eligible patients was assessed, consisting of evidence-based beta-blockers; angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, or angiotensin receptor neprilysin inhibitors; mineralocorticoid receptor antagonists; and oral anticoagulation. RESULTS: Of 55,560 patients at 122 hospitals, 32,304 (58.1%) received all guideline-recommended HF medications for which they were eligible. The proportion of patients receiving all recommended medications was higher in 2019 relative to 2013 (OR: 1.54; 95% CI: 1.44-1.65). The median of hospital performance was 59.1% (Q1-Q3: 53.2%-66.2%), improving with substantial variation across sites from 2013 (median 56.4%; Q1-Q3: 50.0%-62.0%) to 2019 (median 65.7%; Q1-Q3: 56.3%-73.5%). Women were less likely to receive recommended therapies than men (adjusted OR [aOR]: 0.84; 95% CI: 0.74-0.96). Compared with non-Hispanic White patients, non-Hispanic Black patients were less likely to receive recommended therapies (aOR: 0.83; 95% CI: 0.79-0.87). Urban hospital location was associated with lower likelihood of medication receipt (aOR: 0.73; 95% CI: 0.59-0.92). CONCLUSIONS: Forty-two percent of patients did not receive all recommended HF medications at discharge, particularly women, minority patients, and those receiving care at urban hospitals. Rates of use increased over time, with variation in performance across hospitals.

Clinical Impact of Routine Assessment of Patient-Reported Health Status in Heart Failure Clinic.

BACKGROUND: The impact of routine clinic use of patient-reported outcome (PRO) measures on clinical outcomes in patients with heart failure (HF) has not been well-characterized. We tested if clinic-based use of a disease-specific PRO improves patient-reported quality of life at 1 year. METHODS: PRO-HF was an open-label, parallel, patient-level randomized clinical trial of routine PRO assessment or usual care at an academic HF clinic between August 30, 2021, and June 30, 2022, with 1 year of follow-up. In the PRO assessment arm, participants completed the Kansas City Cardiomyopathy Questionnaire-12 (KCCQ-12) at each HF clinic visit and results were shared with their treating clinician. The usual care arm completed the KCCQ-12 at randomization and 1 year later, which was not shared with the treating clinician. The primary outcome was the KCCQ-12 Overall Summary Score (OSS) between 12-15 months post-randomization. Secondary outcomes included domains of the KCCQ-12, hospitalization and emergency department visit rates, HF medication therapy, clinic visit frequency, and testing rates. RESULTS: Across 17 clinicians, 1,248 participants were enrolled and randomized to PRO assessment (n=624) or usual care (n=624). The median age was 63.9 (interquartile range [IQR] 51.8-72.8), 38.9% were women, and the median baseline KCCQ-12 OSS was 82.3 (IQR 58.3-94.8). Final KCCQ-12 (available in 87.9% of the PRO arm and 85.1% in usual care [p=0.16]) median OSS scores were 87.5 (IQR 68.8-96.9) in the PRO arm and 87.6 (IQR 69.7-96.9) in the usual care arm with a baseline-adjusted mean difference of 0.2 (95% CI: -1.7 to 2.0; p=0.85). The results were consistent across pre-specified subgroups. A post hoc analysis demonstrated a significant interaction with greater benefit among participants with baseline KCCQ-12 OSS scores of 60-80 but not in less or more symptomatic participants. No significant differences were found in 1-year mortality, hospitalizations, ED visits, medication therapy, clinic follow-up, or testing rates between arms. CONCLUSIONS: Routine PRO assessment in HF clinic visits did not impact patient-reported quality of life or other clinical outcomes. Alternate strategies and settings for embedding PROs into routine clinical care should be tested.

Contemporary American and European Guidelines for Heart Failure Management: JACC: Heart Failure Guideline Comparison.

This review serves to compare contemporary clinical practice recommendations for the management of heart failure (HF), as codified in the 2021 European Society of Cardiology (ESC) guideline, the 2022 American College of Cardiology (ACC)/American Heart Association (AHA)/Heart Failure Society of America (HFSA) guideline, and the 2023 focused update of the 2021 ESC document. Overall, these guidelines aim to solidify significant advances throughout the HF continuum since the publication of previous full guideline iterations (2013 and 2016 for the ACC/AHA and ESC, respectively). All guidelines provide new recommendations for an increasingly complex landscape of HF care, with focus on primary HF prevention, HF stages, rapid initiation and optimization of evidence-based pharmacotherapies, overlapping cardiac and noncardiac comorbidities, device-based therapies, and management pathways for special groups of patients, including those with cardiac amyloidosis. Importantly, the ACC/AHA/HFSA document features special emphasis on HF risk prediction and screening, cost/value, social determinants of health, and health care disparities. The review discusses major similarities and differences between these recent guidelines and guideline updates, as well as their potential downstream implications for clinical care.

Assessment of Price Variation in Coronary Artery Bypass Surgery at US Hospitals.

BACKGROUND: Little is known about hospital pricing for coronary artery bypass grafting (CABG). Using new price transparency data, we assessed variation in CABG prices across US hospitals and the association between higher prices and hospital characteristics, including quality of care. METHODS AND RESULTS: Prices for diagnosis related group code 236 were obtained from the Turquoise database and linked by Medicare Facility ID to publicly available hospital characteristics. Univariate and multivariable analyses were performed to assess factors predictive of higher prices. Across 544 hospitals, median commercial and self-pay rates were 2.01 and 2.64 times the Medicare rate ($57 240 and $75 047, respectively, versus $28 398). Within hospitals, the 90th percentile insurer-negotiated price was 1.83 times the 10th percentile price. Across hospitals, the 90th percentile commercial rate was 2.91 times the 10th percentile hospital rate. Regional median hospital prices ranged from $35 624 in the East South Central to $84 080 in the Pacific. In univariate analysis, higher inpatient revenue, greater annual discharges, and major teaching status were significantly associated with higher prices. In multivariable analysis, major teaching and investor-owned status were associated with significantly higher prices (+$8653 and +$12 200, respectively). CABG prices were not related to death, readmissions, patient ratings, or overall Centers for Medicare and Medicaid Services hospital rating. CONCLUSIONS: There is significant variation in CABG pricing, with certain characteristics associated with higher rates, including major teaching status and investor ownership. Notably, higher CABG prices were not associated with better-quality care, suggesting a need for further investigation into drivers of pricing variation and the implications for health care spending and access.

The economics of heart failure care.

Heart failure (HF) poses a significant economic burden in the US, with costs projected to reach $70 billion by 2030. Cost-effectiveness analyses play a pivotal role in assessing the economic value of HF therapies. In this review, we overview the cost-effectiveness of HF therapies and discuss ways to improve patient access. Based on current costs, guideline directed medical therapies for HF with reduced ejection fraction provide high economic value except for sodium-glucose cotransporter-2 inhibitors, which provide intermediate economic value. Combining therapy with the four pillars of medical therapy also has intermediate economic value, with incremental cost-effectiveness ratios ranging from $73,000 to $98,500/ quality adjusted life-years. High economic value procedures include cardiac resynchronization devices, implantable cardioverter-defibrillators, and coronary artery bypass surgery. In contrast, advanced HF therapies have previously demonstrated intermediate to low economic value, but newer data appear more favorable. Given the affordability challenges of HF therapies, additional efforts are needed to ensure optimal care for patients. The recent Inflation Reduction Act contains provisions to reform policy pertaining to drug price negotiation and out-of-pocket spending, as well as measures to increase access to existing programs, including the Medicare low-income subsidy. On a patient level, it is also important to encourage patient and physician awareness and discussions surrounding medical costs. Overall, a broad approach to improving available therapies and access to care is needed to reduce the growing clinical and economic morbidity of HF.

Bundled Payments for Care Improvement and Quality of Care and Outcomes in Heart Failure.

Importance: The Centers for Medicare & Medicaid Services (CMS) Bundled Payments for Care Improvement (BPCI) program was launched in 2013 with a goal to improve care quality while lowering costs to Medicare. Objective: To compare changes in the quality and outcomes of care for patients hospitalized with heart failure according to hospital participation in the BPCI program. Design, Setting, and Participants: This cross-sectional study used a difference-in-difference approach to evaluate the BPCI program in 18 BPCI hospitals vs 211 same-state non-BPCI hospitals for various process-of-care measures and outcomes using American Heart Association Get With The Guidelines-Heart Failure registry and CMS Medicare claims data from November 1, 2008, to August 31, 2018. Data were analyzed from May 2022 to May 2023. Exposures: Hospital participation in CMS BPCI Model 2 Heart Failure, which paid hospitals in a fee-for-service process and then shared savings or required reimbursement depending on how the total cost of an episode of care compared with a target price. Main Outcomes and Measures: Primary end points included 7 quality-of-care measures. Secondary end points included 9 outcome measures, including in-hospital mortality and hospital-level risk-adjusted 30-day and 90-day all-cause readmission rate and mortality rate. Results: During the study period, 8721 patients were hospitalized in the 23 BPCI hospitals and 94 530 patients were hospitalized in the 224 same-state non-BPCI hospitals. Less than a third of patients (30 723 patients, 29.8%) were 75 years or younger; 54 629 (52.9%) were female, and 48 622 (47.1%) were male. Hospital participation in BPCI Model 2 was not associated with significant differential changes in the odds of various process-of-care measures, except for a decreased odds of evidence-based ß-blocker at discharge (adjusted odds ratio [aOR], 0.63; 95% CI, 0.41-0.98; P = .04). Participation in the BPCI was not associated with a significant differential change in the odds of receiving angiotensin-converting enzyme inhibitors/angiotensin receptor blockers or angiotensin receptor-neprilysin inhibitors at discharge, receiving an aldosterone antagonist at discharge, having a cardiac resynchronization therapy (CRT)-defibrillator or CRT pacemaker placed or prescribed at discharge, having implantable cardioverter-defibrillator (ICD) counseling or an ICD placed or prescribed at discharge, heart failure education being provided among eligible patients, or having a follow-up visit within 7 days or less. Participation in the BPCI was associated with a significant decrease in odds of in-hospital mortality (aOR, 0.67; 95% CI, 0.51-0.86; P = .002). Participation was not associated with a significant differential change in hospital-level risk-adjusted 30-day or 90-day all-cause readmission rate and 30-day or 90-day all-cause mortality rate. Conclusion and Relevance: In this study, hospital participation in the BPCI Model 2 Heart Failure program was not associated with improvement in process-of-care quality measures or 30-day or 90-day risk-adjusted all-cause mortality and readmission rates.

Medical Therapy Before, During and After Hospitalization in Medicare Beneficiaries With Heart Failure and Diabetes: Get With The Guidelines - Heart Failure Registry.

BACKGROUND: Patients hospitalized with heart failure (HF) and diabetes mellitus (DM) are at risk for worsening clinical status. Little is known about the frequency of therapeutic changes during hospitalization. We characterized the use of medical therapies before, during and after hospitalization in patients with HF and DM. METHODS: We identified Medicare beneficiaries in Get With The Guidelines-Heart Failure (GWTG-HF) hospitalized between July 2014 and September 2019 with Part D prescription coverage. We evaluated trends in the use of 7 classes of antihyperglycemic therapies (metformin, sulfonylureas, GLP-1RA, SGLT2-inhibitors, DPP-4 inhibitors, thiazolidinediones, and insulins) and 4 classes of HF therapies (evidence-based ß-blockers, ACEi or ARB, MRA, and ARNI). Medication fills were assessed at 6 and 3 months before hospitalization, at hospital discharge and at 3 months post-discharge. RESULTS: Among 35,165 Medicare beneficiaries, the median age was 77 years, 54% were women, and 76% were white; 11,660 (33%) had HFrEF (LVEF ≤ 40%), 3700 (11%) had HFmrEF (LVEF 41%-49%), and 19,805 (56%) had HFpEF (LVEF ≥ 50%). Overall, insulin was the most commonly prescribed antihyperglycemic after HF hospitalization (n = 12,919, 37%), followed by metformin (n = 7460, 21%) and sulfonylureas (n = 7030, 20%). GLP-1RA (n = 700, 2.0%) and SGLT2i (n = 287, 1.0%) use was low and did not improve over time. In patients with HFrEF, evidence-based beta-blocker, RASi, MRA, and ARNI fills during the 6 months preceding HF hospitalization were 63%, 62%, 19%, and 4%, respectively. Fills initially declined prior to hospitalization, but then rose from 3 months before hospitalization to discharge (beta-blocker: 56%-82%; RASi: 51%-57%, MRA: 15%-28%, ARNI: 3%-6%, triple therapy: 8%-20%; P < 0.01 for all). Prescription rates 3 months after hospitalization were similar to those at hospital discharge. CONCLUSIONS: In-hospital optimization of medical therapy in patients with HF and DM is common in participating hospitals of a large US quality improvement registry.

Deep Learning of Electrocardiograms in Sinus Rhythm From US Veterans to Predict Atrial Fibrillation.

Importance: Early detection of atrial fibrillation (AF) may help prevent adverse cardiovascular events such as stroke. Deep learning applied to electrocardiograms (ECGs) has been successfully used for early identification of several cardiovascular diseases. Objective: To determine whether deep learning models applied to outpatient ECGs in sinus rhythm can predict AF in a large and diverse patient population. Design, Setting, and Participants: This prognostic study was performed on ECGs acquired from January 1, 1987, to December 31, 2022, at 6 US Veterans Affairs (VA) hospital networks and 1 large non-VA academic medical center. Participants included all outpatients with 12-lead ECGs in sinus rhythm. Main Outcomes and Measures: A convolutional neural network using 12-lead ECGs from 2 US VA hospital networks was trained to predict the presence of AF within 31 days of sinus rhythm ECGs. The model was tested on ECGs held out from training at the 2 VA networks as well as 4 additional VA networks and 1 large non-VA academic medical center. Results: A total of 907 858 ECGs from patients across 6 VA sites were included in the analysis. These patients had a mean (SD) age of 62.4 (13.5) years, 6.4% were female, and 93.6% were male, with a mean (SD) CHA2DS2-VASc (congestive heart failure, hypertension, age, diabetes mellitus, prior stroke or transient ischemic attack or thromboembolism, vascular disease, age, sex category) score of 1.9 (1.6). A total of 0.2% were American Indian or Alaska Native, 2.7% were Asian, 10.7% were Black, 4.6% were Latinx, 0.7% were Native Hawaiian or Other Pacific Islander, 62.4% were White, 0.4% were of other race or ethnicity (which is not broken down into subcategories in the VA data set), and 18.4% were of unknown race or ethnicity. At the non-VA academic medical center (72 483 ECGs), the mean (SD) age was 59.5 (15.4) years and 52.5% were female, with a mean (SD) CHA2DS2-VASc score of 1.6 (1.4). A total of 0.1% were American Indian or Alaska Native, 7.9% were Asian, 9.4% were Black, 2.9% were Latinx, 0.03% were Native Hawaiian or Other Pacific Islander, 74.8% were White, 0.1% were of other race or ethnicity, and 4.7% were of unknown race or ethnicity. A deep learning model predicted the presence of AF within 31 days of a sinus rhythm ECG on held-out test ECGs at VA sites with an area under the receiver operating characteristic curve (AUROC) of 0.86 (95% CI, 0.85-0.86), accuracy of 0.78 (95% CI, 0.77-0.78), and F1 score of 0.30 (95% CI, 0.30-0.31). At the non-VA site, AUROC was 0.93 (95% CI, 0.93-0.94); accuracy, 0.87 (95% CI, 0.86-0.88); and F1 score, 0.46 (95% CI, 0.44-0.48). The model was well calibrated, with a Brier score of 0.02 across all sites. Among individuals deemed high risk by deep learning, the number needed to screen to detect a positive case of AF was 2.47 individuals for a testing sensitivity of 25% and 11.48 for 75%. Model performance was similar in patients who were Black, female, or younger than 65 years or who had CHA2DS2-VASc scores of 2 or greater. Conclusions and Relevance: Deep learning of outpatient sinus rhythm ECGs predicted AF within 31 days in populations with diverse demographics and comorbidities. Similar models could be used in future AF screening efforts to reduce adverse complications associated with this disease.

Developing Clinical Risk Prediction Models for Worsening Heart Failure Events and Death by Left Ventricular Ejection Fraction.

Background There is a need to develop electronic health record-based predictive models for worsening heart failure (WHF) events across clinical settings and across the spectrum of left ventricular ejection fraction (LVEF). Methods and Results We studied adults with heart failure (HF) from 2011 to 2019 within an integrated health care delivery system. WHF encounters were ascertained using natural language processing and structured data. We conducted boosted decision tree ensemble models to predict 1-year hospitalizations, emergency department visits/observation stays, and outpatient encounters for WHF and all-cause death within each LVEF category: HF with reduced ejection fraction (EF) (LVEF <40%), HF with mildly reduced EF (LVEF 40%-49%), and HF with preserved EF (LVEF ≥50%). Model discrimination was evaluated using area under the curve and calibration using mean squared error. We identified 338 426 adults with HF: 61 045 (18.0%) had HF with reduced EF, 49 618 (14.7%) had HF with mildly reduced EF, and 227 763 (67.3%) had HF with preserved EF. The 1-year risks of any WHF event and death were, respectively, 22.3% and 13.0% for HF with reduced EF, 17.0% and 10.1% for HF with mildly reduced EF, and 16.3% and 10.3% for HF with preserved EF. The WHF model displayed an area under the curve of 0.76 and mean squared error of 0.13, whereas the model for death displayed an area under the curve of 0.83 and mean squared error of 0.076. Performance and predictors were similar across WHF encounter types and LVEF categories. Conclusions We developed risk prediction models for 1-year WHF events and death across the LVEF spectrum using structured and unstructured electronic health record data and observed no substantial differences in model performance or predictors except for death, despite differences in underlying HF cause.

Sex differences in long-term outcomes following acute heart failure hospitalization: Findings from the Get With The Guidelines-Heart Failure registry.

AIMS: Sex differences in long-term outcomes following hospitalization for heart failure (HF) across ejection fraction (EF) subtypes are not well described. In this study, we evaluated the risk of mortality and rehospitalization among males and females across the spectrum of EF over 5 years of follow-up following an index HF hospitalization event. METHODS AND RESULTS: Patients hospitalized with HF between 1 January 2006 and 31 December 2014 from the American Heart Association's Get With The Guidelines-Heart Failure registry with available 5-year follow-up using Medicare Part A claims data were included. The association between sex and risk of mortality and readmission over a 5-year follow-up period for each HF subtype (HF with reduced EF [HFrEF, EF ≤40%], HF with mildly reduced EF [HFmrEF, EF 41-49%], and HF with preserved EF [HFpEF, EF >50%]) was assessed using adjusted Cox models. The effect modification by the HF subtype for the association between sex and outcomes was assessed by including multiplicative interaction terms in the models. A total of 155 670 patients (median age: 81 years, 53.4% female) were included. Over 5-year follow-up, males and females had comparably poor survival post-discharge; however, females (vs. males) had greater years of survival lost to HF compared with the median age- and sex-matched US population (HFpEF: 17.0 vs. 14.6 years; HFrEF: 17.3 vs. 15.1 years; HFmrEF: 17.7 vs. 14.6 years for age group 65-69 years). In adjusted analysis, females (vs. males) had a lower risk of 5-year mortality (adjusted hazard ratio [aHR] 0.89, 95% confidence interval [CI] 0.87-0.90, p < 0.0001), and the risk difference was most pronounced among patients with HFrEF (aHR 0.87, 95% CI 0.85-0.89; pinteraction [sex*HF subtype] = 0.04). Females (vs. males) had a higher adjusted risk of HF readmission over 5-year follow-up (aHR 1.06, 95% CI 1.04-1.08, p < 0.0001), with the risk difference most pronounced among patients with HFpEF (aHR 1.11, 95% CI 1.07-1.14; pinteraction [sex*HF subtype] = 0.001). CONCLUSIONS: While females (vs. males) had lower adjusted mortality, females experienced a significantly greater loss in survival time than the median age- and sex-matched US population and had a greater risk of rehospitalization over 5 years following HF hospitalization.

Geographic Variation in the Quality of Heart Failure Care Among U.S. Veterans.

BACKGROUND: The burden of heart failure is growing. Guideline-directed medical therapies (GDMT) reduce adverse outcomes in heart failure with reduced ejection fraction (HFrEF). Whether there is geographic variation in HFrEF quality of care is not well described. OBJECTIVES: This study evaluated variation nationally for prescription of GDMT within the Veterans Health Administration. METHODS: A cohort of Veterans with HFrEF had their address linked to hospital referral regions (HRRs). GDMT prescription was defined using pharmacy data between July 1, 2020, and July 1, 2021. Within HRRs, we calculated the percentage of Veterans prescribed GDMT and a composite GDMT z-score. National choropleth maps were created to evaluate prescription variation. Associations between GDMT performance and demographic characteristics were evaluated using linear regression. RESULTS: Maps demonstrated significant variation in the HRR composite score and GDMT prescriptions. Within HRRs, the prescription of beta-blockers to Veterans was highest with a median of 80% (IQR: 77.3%-82.2%) followed by angiotensin-converting enzyme inhibitor/angiotensin receptor blocker/angiotensin receptor-neprilysin inhibitors (69.3%; IQR: 66.4%-72.1%), sodium-glucose cotransporter-2 inhibitors (10.3%; IQR: 7.7%-12.8%), mineralocorticoid receptor antagonists (29.2%; IQR: 25.8%-33.9%), and angiotensin receptor-neprilysin inhibitors (12.2%; IQR: 8.6%-15.3%). HRR composite GDMT z-scores were inversely associated with the HRR median Gini coefficient (R = -0.13; P = 0.0218) and the percentage of low-income residents (R = -0.117; P = 0.0413). CONCLUSIONS: Wide geographic differences exist for HFrEF care. Targeted strategies may be required to increase GDMT prescription for Veterans in lower-performing regions, including those affected by income inequality and poverty.

Value-Based Payment for Clinicians Treating Cardiovascular Disease: A Policy Statement From the American Heart Association.

Clinician payment is transitioning from fee-for-service to value-based payment, with reimbursement tied to health care quality and cost. However, the overarching goals of value-based payment-to improve health care quality, lower costs, or both-have been largely unmet. This policy statement reviews the current state of value-based payment and provides recommended best practices for future design and implementation. The policy statement is divided into sections that detail different aspects of value-based payment: (1) key program design features (patient population, quality measurement, cost measurement, and risk adjustment), (2) the role of equity during design and evaluation, (3) adjustment of payment, and (4) program implementation and evaluation. Each section introduces the topic, describes important considerations, and lists examples from existing programs. Each section includes recommended best practices for future program design. The policy statement highlights 4 key themes for successful value-based payment. First, programs should carefully weigh the incentives between lowering cost and improving quality of care and ensure that there is adequate focus on quality of care. Second, the expansion of value-based payment should be a tool for improving equity, which is central to quality of care and should be a focal point of program design and evaluation. Third, value-based payment should continue to move away from fee for service toward more flexible funding that allows clinicians to focus resources on the interventions that best help patients. Last, successful programs should find ways to channel clinicians' intrinsic motivation to improve their performance and the care for their patients. These principles should guide the future development of clinician value-based payment models.

Long-Term Outcomes of Early Coronary Artery Disease Testing After New-Onset Heart Failure.

BACKGROUND: Coronary artery disease (CAD) testing remains underutilized in patients with newly diagnosed heart failure (HF). The longitudinal clinical impact of early CAD testing has not been well-characterized. We investigated changes in clinical management and long-term outcomes after early CAD evaluation in patients with incident HF. METHODS: We identified Medicare patients with incident HF from 2006 to 2018. The exposure variable was early CAD testing within 1 month of initial HF diagnosis. Covariate-adjusted rates of cardiovascular interventions after testing, including CAD-related management, were modeled using mixed-effects regression with clinician as a random intercept. We assessed mortality and hospitalization outcomes using landmark analyses with inverse probability-weighted Cox proportional hazards models. Falsification end points and mediation analysis were employed for bias assessment. RESULTS: Among 309 559 patients with new-onset HF without prior CAD, 15.7% underwent early CAD testing. Patients who underwent prompt CAD evaluation had higher adjusted rates of subsequent antiplatelet/statin prescriptions and revascularization, guideline-directed therapy for HF, and stroke prophylaxis for atrial fibrillation/flutter than controls. In weighted Cox models, 1-month CAD testing was associated with significantly reduced all-cause mortality (hazard ratio, 0.93 [95% CI, 0.91-0.96]). Mediation analyses indicated that ≈70% of this association was explained by CAD management, largely from new statin prescriptions. Falsification end points (outpatient diagnoses of urinary tract infection and hospitalizations for hip/vertebral fracture) were nonsignificant. CONCLUSIONS: Early CAD testing after incident HF was associated with a modest mortality benefit, driven mostly by subsequent statin therapy. Further investigation on clinician barriers to testing and treating high-risk patients may improve adherence to guideline-recommended cardiovascular interventions.