Prognostic implications of heart failure stages among Chinese community populations: insight from a nationwide population-based study.

Background: In light of high burden of heart failure (HF) in China, studies of prognostic implication of HF stages are important. We aimed to evaluate the relationship between HF stages and mortality risk in Chinese community populations. Methods: Nationwide representative populations aged ≥35 years (n = 23,284, mean age 56.9 years, women 53.2%) were enrolled from 2012 to 2016. According to the international HF guidelines, participants were divided into stage A, B and C, and those who did not qualify these stages were categorized as apparently-healthy group. Association between HF stages and all-cause, cardiovascular [CV] and non-CV death was evaluated using multivariable-adjusted Cox proportional regression analysis. Findings: During a median follow-up of 4.7 years (109,902.8 person-years), 1314 deaths occurred. Age-adjusted incidence rate of all-cause death was 5.3 in apparently-healthy, 7.8 in stage A, 8.6 in stage B and 24.6 in stage C groups per 1000 person-years. In reference to apparently-healthy group, adjusted hazard ratio for all-cause death was 1.90 (95% CI: 1.47-2.45), 2.43 (95% CI: 1.89-3.13) and 6.40 (95% CI: 4.56-8.99) for stage A, B and C. Advancing HF stages were associated with increasing risks for all-cause, CV and non-CV death (P-trend <0.05). For all-cause death, population attributable fraction due to stage A, B and C were 21.2%, 33.4% and 4.9%, accounting for 1,933,385, 3,045,993 and 446,867 deaths in China in 2018. Interpretation: Advancing HF stages were associated with increasing risk mortality. Development and implementation of early screening and targeted interventions are urgently needed to reduce HF burdens in China. Funding: This work was supported by the Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (grant 2017-I2M-1-004), the Projects in the Chinese National Science & Technology Pillar Program during the Twelfth Five-year Plan Period (No.: 2011BAI11B01), and the Project Entrusted by the National Health Commission of the People's Republic of China (NHC2020-609).

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.

Kidney Outcomes Among Medicare Beneficiaries After Hospitalization for Heart Failure.

Importance: Kidney health has received increasing focus as part of comprehensive heart failure (HF) treatment efforts. However, the occurrence of clinically relevant kidney outcomes in contemporary populations with HF has not been well studied. Objective: To examine rates of incident dialysis and acute kidney injury (AKI) among Medicare beneficiaries after HF hospitalization. Design, Setting, and Participants: This retrospective cohort study evaluated adults aged 65 years or older who were hospitalized for HF across 372 sites in the Get With The Guidelines-Heart Failure registry in the US between January 1, 2014, and December 31, 2018. Patients younger than 65 years or requiring dialysis either during or prior to hospitalization were excluded. Data were analyzed from May 4, 2021, to March 8, 2024. Main Outcomes and Measures: The primary outcome was inpatient dialysis initiation in the year after HF hospitalization and was ascertained via linkage with Medicare claims data. Other all-cause and cause-specific hospitalizations were also evaluated. The covariate-adjusted association between discharge estimated glomerular filtration rate (eGFR) and 1-year postdischarge outcomes was examined using Cox proportional hazards regression models. Results: Overall, among 85 298 patients included in the analysis (mean [SD] age, 80 [9] years; 53% women) mean (SD) left ventricular ejection fraction was 47% (16%) and mean (SD) eGFR was 53 (29) mL/min per 1.73 m2; 54 010 (63%) had an eGFR less than 60 mL/min per 1.73 m2. By 1 year after HF hospitalization, 6% had progressed to dialysis, 7% had progressed to dialysis or end-stage kidney disease, and 7% had been readmitted for AKI. Incident dialysis increased steeply with lower discharge eGFR category: compared with patients with an eGFR of 60 mL/min per 1.73 m2 or more, individuals with an eGFR of 45 to less than 60 and of less than 30 mL/min per 1.73 m2 had higher rates of dialysis readmission (45 to <60: adjusted hazard ratio [AHR], 2.16 [95% CI, 1.86-2.51]; <30: AHR, 28.46 [95% CI, 25.25-32.08]). Lower discharge eGFR (per 10 mL/min per 1.73 m2 decrease) was independently associated with a higher rate of readmission for dialysis (AHR, 2.23; 95% CI, 2.14-2.32), dialysis or end-stage kidney disease (AHR, 2.34; 95% CI, 2.24-2.44), and AKI (AHR, 1.25; 95% CI, 1.23-1.27), with similar findings for all-cause mortality, all-cause readmission, and HF readmission. Baseline left ventricular ejection fraction did not modify the covariate-adjusted association between lower discharge eGFR and kidney outcomes. Conclusions and Relevance: In this study, older adults with HF had substantial risk of kidney complications, with an estimated 6% progressing to dialysis in the year after HF hospitalization. These findings emphasize the need for health care approaches prioritizing kidney health in this high-risk population.

Twenty Years of Get With The Guidelines-Stroke: Celebrating Past Successes, Lessons Learned, and Future Challenges.

The Get With The Guidelines-Stroke program which, began 20 years ago, is one of the largest and most important nationally representative disease registries in the United States. Its importance to the stroke community can be gauged by its sustained growth and widespread dissemination of findings that demonstrate sustained increases in both the quality of care and patient outcomes over time. The objectives of this narrative review are to provide a brief history of Get With The Guidelines-Stroke, summarize its major successes and impact, and highlight lessons learned. Looking to the next 20 years, we discuss potential challenges and opportunities for the program.

Generalizable Approach to Quantifying Guideline-Directed Medical Therapy.

BACKGROUND: Quantifying guideline-directed medical therapy (GDMT) intensity is foundational for improving heart failure (HF) care. Existing measures discount dose intensity or use inconsistent weighting. METHODS: The Kansas City Medical Optimization (KCMO) score is the average of total daily to target dose percentages for eligible GDMT, reflecting the percentage of optimal GDMT prescribed (range, 0-100). In Change the Management of Patients With HF, we computed KCMO, HF collaboratory (0-7), and modified HF Collaboratory (0-100) scores for each patient at baseline and for 1-year change in established GDMT at the time (mineralocorticoid receptor antagonist, ß-blocker, ACE [angiotensin-converting enzyme] inhibitor/angiotensin receptor blocker/angiotensin receptor neprilysin inhibitor). We compared baseline and 1-year change distributions and the coefficient of variation (SD/mean) across scores. RESULTS: Among 4532 patients at baseline, mean KCMO, HF collaboratory, and modified HF Collaboratory scores were 38.8 (SD, 25.7), 3.4 (1.7), and 42.2 (22.2), respectively. The mean 1-year change (n=4061) for KCMO was -1.94 (17.8); HF collaborator, -0.11 (1.32); and modified HF Collaboratory, -1.35 (19.8). KCMO had the highest coefficient of variation (0.66), indicating greater variability around the mean than the HF collaboratory (0.49) and modified HF Collaboratory (0.53) scores, reflecting higher resolution of the variability in GDMT intensity across patients. CONCLUSIONS: KCMO measures GDMT intensity by incorporating dosing and treatment eligibility, provides more granularity than existing methods, is easily interpretable (percentage of ideal GDMT), and can be adapted as performance measures evolve. Further study of its association with outcomes and its usefulness for quality assessment and improvement is needed.

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.

Cost-Effectiveness of Medical Therapy for Heart Failure With Mildly Reduced and Preserved Ejection Fraction.

BACKGROUND: Three medications are now guideline-recommended treatments for heart failure with mildly reduced or preserved ejection fraction (HFmrEF/HFpEF), however, the cost-effectiveness of these agents in combination has yet to be established. OBJECTIVES: The purpose of this study was to determine the cost-effectiveness of mineralocorticoid receptor antagonists (MRA), angiotensin receptor-neprilysin inhibitors (ARNIs), and sodium glucose co-transporter 2 inhibitors (SGLT2is) in individuals with HFmrEF/HFpEF. METHODS: Using a 3-state Markov model, we performed a cost-effectiveness study using simulated cohorts of 1,000 patients with HFmrEF and HFpEF. Treatment with 1-, 2-, and 3-drug combinations was modeled. Based on a United States health care sector perspective, outcome data was used to calculate incremental cost-effectiveness ratios (ICERs) in 2023 United States dollars based on a 30-year time horizon. RESULTS: Treatment with MRA, MRA+SGLT2i, and MRA+SGLT2i+ARNI therapy resulted in an increase in life years of 1.04, 1.58, and 1.80 in the HFmrEF subgroup, respectively, and 0.99, 1.54, and 1.77 in the HFpEF subgroup, respectively, compared with placebo. At a yearly cost of $18, MRA therapy resulted in ICERs of $10,000 per quality-adjusted life year (QALY) in both subgroups. The ICER for the addition of SGLT2i therapy ($4,962 per year) was $113,000 per QALY in the HFmrEF subgroup and $141,000 in the HFpEF subgroup. The addition of ARNI therapy ($5,504 per year) resulted in ICERs >$250,000 per QALY in both subgroups. If SGLT2i and ARNI were available at generic pricing the ICERs become <$10,000 per QALY in both EF subgroups. Outcomes were highly sensitive to assumed benefit in cardiovascular death. CONCLUSIONS: For patients with heart failure, MRA was of high value, SGLT2i was of intermediate value, and ARNI was of low value in both HFmrEF and HFpEF subgroups. For patients with HFmrEF/HFpEF increased use of MRA and SGLT2i therapies should be encouraged and be accompanied with efforts to lower the cost of SGLT2i and ARNI therapies.

Mapping the Ecological Terrain of Stroke Prehospital Delay: A Nationwide Registry Study.

BACKGROUND: Delays in hospital presentation limit access to acute stroke treatments. While prior research has focused on patient-level factors, broader ecological and social determinants have not been well studied. We aimed to create a geospatial map of prehospital delay and examine the role of community-level social vulnerability. METHODS: We studied patients with ischemic stroke who arrived by emergency medical services in 2015 to 2017 from the American Heart Association Get With The Guidelines-Stroke registry. The primary outcome was time to hospital arrival after stroke (in minutes), beginning at last known well in most cases. Using Geographic Information System mapping, we displayed the geography of delay. We then used Cox proportional hazard models to study the relationship between community-level factors and arrival time (adjusted hazard ratios [aHR] <1.0 indicate delay). The primary exposure was the social vulnerability index (SVI), a metric of social vulnerability for every ZIP Code Tabulation Area ranging from 0.0 to 1.0. RESULTS: Of 750 336 patients, 149 145 met inclusion criteria. The mean age was 73 years, and 51% were female. The median time to hospital arrival was 140 minutes (Q1: 60 minutes, Q3: 458 minutes). The geospatial map revealed that many zones of delay overlapped with socially vulnerable areas (https://harvard-cga.maps.arcgis.com/apps/webappviewer/index.html?id=08f6e885c71b457f83cefc71013bcaa7). Cox models (aHR, 95% CI) confirmed that higher SVI, including quartiles 3 (aHR, 0.96 [95% CI, 0.93-0.98]) and 4 (aHR, 0.93 [95% CI, 0.91-0.95]), was associated with delay. Patients from SVI quartile 4 neighborhoods arrived 15.6 minutes [15-16.2] slower than patients from SVI quartile 1. Specific SVI themes associated with delay were a community's socioeconomic status (aHR, 0.80 [95% CI, 0.74-0.85]) and housing type and transportation (aHR, 0.89 [95% CI, 0.84-0.94]). CONCLUSIONS: This map of acute stroke presentation times shows areas with a high incidence of delay. Increased social vulnerability characterizes these areas. Such places should be systematically targeted to improve population-level stroke presentation times.

Time to benefit of colchicine in patients with cardiovascular disease: A pooled analysis of randomized controlled trials.

Background: Low-dose colchicine has been shown to lower major adverse cardiovascular events (MACE) among those with cardiovascular disease (CVD). It remains unclear how long a CVD patient needs to live to potentially benefit from colchicine. Our study aimed to determine the time to benefit (TTB) of colchicine in individuals with CVD. Methods: Literature searches were performed in PubMed for the cardiovascular outcome trial of colchicine in patients with CVD until October 12, 2023. The primary outcome measured was MACE. Reconstructed individual participant data (IPD) and the stratified Cox proportional hazards model were used to calculate the hazard ratio (HR) and 95 % confidence interval (CI) to estimate the efficacy of colchicine, and Weibull survival curves were fitted to estimate TTB for specific absolute risk reduction (ARR) thresholds (0.002, 0.005, and 0.01). Results: Four trials randomizing 11,594 adults aged between 59.8 and 66.5 years were included (follow-up duration: 12-28.6 months). Compared with placebo, colchicine reduced the risk of MACE (HR 0.68, 95 % CI: 0.60 to 0.78) but had no impact on cardiovascular and all-cause mortality. A TTB of 11.0 months (95 % CI: 0.59 to 21.3) was estimated to be needed to prevent 1 MACE in 100-colchicine-treated patients. The TTB for acute coronary syndrome was similar compared to stable coronary artery disease (10.7 vs. 11.2 months for ARR = 0.010). Conclusions: By using reconstructed IPD, this pooled analysis demonstrated that colchicine was associated with reduced nonfatal MACE, and the TTB was approximately 11.0 months to prevent 1 MACE per 100 patients.

Contemporary Prestroke Dual Antiplatelet Use and Symptomatic Intracerebral Hemorrhage Risk After Thrombolysis.

Importance: Intravenous alteplase (IV-tPA) can be administered to patients with acute ischemic stroke but is associated with symptomatic intracerebral hemorrhage (sICH). It is unclear if patients taking prestroke dual antiplatelet therapy (DAPT) are at higher risk of sICH. Objective: To determine the associated risk of sICH in patients taking prestroke dual antiplatelet therapy receiving alteplase for acute ischemic stroke using propensity score matching analysis. Design, Setting, and Participants: This cohort study used data from the American Heart Association and American Stroke Association Get With The Guidelines-Stroke (GWTG-Stroke) registry between 2013 and 2021. Data were obtained from hospitals in the GWTG-Stroke registry. This study included patients hospitalized with acute ischemic stroke and treated with IV-tPA. Data were analyzed from January 2013 to December 2021. Exposures: Prestroke DAPT before treatment with IV-tPA for acute ischemic stroke. Main Outcome Measures: sICH, In-hospital death, discharge modified Rankin scale score, and other life-threatening systemic hemorrhages. Results: Of 409 673 participants, 321 819 patients (mean [SD] age, 68.6 [15.1] years; 164 587 female [51.1%]) who were hospitalized with acute ischemic stroke and treated with IV-tPA were included in the analysis. The rate of sICH was 2.9% (5200 of 182 344), 3.8% (4457 of 117 670), and 4.1% (893 of 21 805) among patients treated with no antiplatelet therapy, single antiplatelet therapy (SAPT), and DAPT, respectively (P < .001). In adjusted analyses after propensity score subclassification, both SAPT (odds ratio [OR], 1.13; 95% CI, 1.07-1.19) and DAPT (OR, 1.28; 95% CI, 1.14-1.42) were associated with increased risks of sICH. Prestroke antiplatelet medications were associated with lower odds of discharge mRS score of 2 or less compared with no medication (SAPT OR, 0.92; 95% CI, 0.90-0.95; DAPT OR, 0.94; 95% CI, 0.88-0.98). Results of a subgroup analysis of patients taking DAPT exposed to aspirin-clopidogrel vs aspirin-ticagrelor combination therapy were not significant (OR, 1.35; 95% CI, 0.84-1.86). Conclusions and Relevance: Prestroke DAPT was associated with a significantly elevated risk of sICH among patients with ischemic stroke who were treated with thrombolysis; however, the absolute increase in risk was small. Patients exposed to antiplatelet medications did not have excess sICH compared with landmark trials, which demonstrated overall clinical benefit of thrombolysis therapy for acute ischemic stroke.

Remote Follow-up in a Heart Failure Pragmatic Trial: Insights From the CONNECT-HF.

BACKGROUND: Randomized controlled trials typically require study-specific visits, which can burden participants and sites. Remote follow-up, such as centralized call centers for participant-reported or site-reported, holds promise for reducing costs and enhancing the pragmatism of trials. In this secondary analysis of the CONNECT-HF (Care Optimization Through Patient and Hospital Engagement For HF) trial, we aimed to evaluate the completeness and validity of the remote follow-up process. METHODS AND RESULTS: The CONNECT-HF trial evaluated the effect of a post-discharge quality-improvement intervention for heart failure compared to usual care for up to 1 year. Suspected events were reported either by participants or by health care proxies through a centralized call center or by sites through medical-record queries. When potential hospitalization events were suspected, additional medical records were collected and adjudicated. Among 5942 potential hospitalizations, 18% were only participant-reported, 28% were reported by both participants and sites, and 50% were only site-reported. Concordance rates between the participant/site reports and adjudication for hospitalization were high: 87% participant-reported, 86% both, and 86% site-reported. Rates of adjudicated heart failure hospitalization events among adjudicated all-cause hospitalization were lower but also consistent: 45% participant-reported, 50% both, and 50% site-reported. CONCLUSIONS: Participant-only and site-only reports missed a substantial number of hospitalization events. We observed similar concordance between participant/site reports and adjudication for hospitalizations. Combining participant-reported and site-reported outcomes data is important to capture and validate hospitalizations effectively in pragmatic heart failure trials.

Contemporary Decongestion Strategies in Patients Hospitalized for Heart Failure: A National Community-Based Cohort Study.

BACKGROUND: Heart failure (HF) is a leading cause of hospitalization in the United States. Decongestion remains a central goal of inpatient management, but contemporary decongestion practices and associated weight loss have not been well characterized nationally. OBJECTIVES: This study aimed to describe contemporary inpatient diuretic practices and clinical predictors of weight loss in patients hospitalized for HF. METHODS: The authors identified HF hospitalizations from 2015 to 2022 in a U.S. national database aggregating deidentified patient-level electronic health record data across 31 geographically diverse community-based health systems. The authors report patient characteristics and inpatient weight change as a primary indicator of decongestion. Predictors of weight loss were evaluated using multivariable models. Temporal trends in inpatient diuretic practices, including augmented diuresis strategies such as adjunctive thiazides and continuous diuretic infusions, were assessed. RESULTS: The study cohort included 262,673 HF admissions across 165,482 unique patients. The median inpatient weight loss was 5.3 pounds (Q1-Q3: 0.0-12.8 pounds) or 2.4 kg (Q1-Q3: 0.0-5.8 kg). Discharge weight was higher than admission weight in 20% of encounters. An increase of ≥0.3 mg/dL in serum creatinine from admission to inpatient peak occurred in >30% of hospitalizations and was associated with less weight loss. Adjunctive diuretic agents were utilized in <20% of encounters but were associated with greater weight loss. CONCLUSIONS: In a large-scale U.S. community-based cohort study of HF hospitalizations, estimated weight loss from inpatient decongestion remains highly variable, with weight gain observed across many admissions. Augmented diuresis strategies were infrequently used. Comparative effectiveness trials are needed to establish optimal strategies for inpatient decongestion for acute HF.

Reversals in the Decline of Heart Failure Mortality in the US, 1999 to 2021.

This cohort study evaluates recent reversals in declines in cardiovascular mortality and whether they vary across sociodemographic categories.

Outcomes with guideline-directed medical therapy and cardiac implantable electronic device therapies for patients with heart failure with reduced ejection fraction.

Background: Limited real-world evidence exists for outcomes with contemporary guideline-directed medical therapy (GDMT) or GDMT with implantable cardioverter-defibrillator (ICD)/cardiac resynchronization therapy defibrillator (CRT-D) therapy for patients with heart failure with reduced ejection fraction (HFrEF) and left ventricular ejection fraction (LVEF) ≤35%. Objective: The present study aimed to assess survival associated with GDMT or GDMT with ICD/CRT-D therapy. Methods: This retrospective observational study included real-world de-identified data from January 1, 2016, to December 19, 2023, from 24 U.S. institutions per participating institutional agreements (egnite Database; egnite, Inc.). Patients with a diagnosis of HFrEF and an echocardiographic study documenting LVEF ≤35% were included for analysis. Results: Of 43,591 patients with eligible index event of LVEF ≤35%, prescription history through ≥1 year preindex, and no ICD/CRT-D therapy preindex, mean ± standard deviation age at index was 71.2 ± 13.2 years; 14,805 (34.0%) patients were female. At 24 months, an estimated 99.1% (95% confidence interval [CI] 99.0%-99.2%), 89.9% (95% CI 89.7%-90.1%), 54.8% (95% CI 54.4%-55.2%), and 17.2% (95% CI 16.9%-17.5%), had ≥1, 2, 3, or all 4 GDMT classes prescribed, respectively; an estimated 15.7% (95% CI 15.3%-16.1%) had device placement. Of those without a device, by 24 months, an estimated 45.1% (95% CI 44.4%-45.7%) had a documented LVEF >35%. Counts of GDMT classes prescribed as well as ICD/CRT-D device therapy were associated with lower mortality risk in this population, even after adjustment for patient age, sex, and comorbidities. Conclusion: Both GDMT classes prescribed and device therapy were independently associated with lower mortality risk, even in the presence of more GDMT options for this more contemporary population.

Eligibility and Projected Benefits of Rapid Initiation of Quadruple Medical Therapy for Newly Diagnosed Heart Failure.

BACKGROUND: U.S. nationwide estimates of the proportion of patients newly diagnosed with heart failure with reduced ejection fraction (HFrEF) eligible for quadruple medical therapy, and the associated benefits of rapid implementation, are not well characterized. OBJECTIVES: This study sought to characterize the degree to which patients newly diagnosed with HFrEF are eligible for quadruple medical therapy, and the projected benefits of in-hospital initiation. METHODS: Among patients hospitalized for newly diagnosed HFrEF in the Get With The Guidelines-Heart Failure registry from 2016 to 2023, eligibility criteria based on regulatory labeling, guidelines, and expert consensus documents were applied for angiotensin receptor-neprilysin inhibitor, beta-blocker, mineralocorticoid receptor antagonist, and sodium-glucose cotransporter 2 inhibitor therapies. Of those eligible, the projected effect of quadruple therapy on 12-month mortality was modeled using treatment effects from pivotal clinical trials utilized by the AHA/ACC/HFSA Guideline for the Management of Heart Failure, and compared with observed outcomes among patients treated with angiotensin-converting enzyme inhibitor/angiotensin receptor blocker and beta-blockers. RESULTS: Of 33,036 patients newly diagnosed with HFrEF, 27,158 (82%) were eligible for quadruple therapy, and 30,613 (93%) were eligible for ≥3 components. From 2021 to 2023, of patients eligible for quadruple therapy, 15.3% were prescribed quadruple therapy and 41.5% were prescribed triple therapy. Among Medicare beneficiaries eligible for quadruple therapy, 12-month incidence of mortality was 24.7% and HF hospitalization was 22.2%. Applying the relative risk reductions in clinical trials, complete implementation of quadruple therapy by time of discharge was projected to yield absolute risk reductions in 12-month mortality of 10.4% (number needed to treat = 10) compared with angiotensin-converting enzyme inhibitor/angiotensin receptor blocker and beta-blocker, and 24.8% (number needed to treat = 4) compared with no GDMT. CONCLUSIONS: In this nationwide U.S. cohort of patients hospitalized for newly diagnosed HFrEF, >4 of 5 patients were projected as eligible for quadruple therapy at discharge; yet, <1 in 6 were prescribed it. If clinical trial benefits can be fully realized, in-hospital initiation of quadruple medical therapy for newly diagnosed HFrEF would yield large absolute reductions in mortality.

Predicting in-hospital mortality among patients admitted with a diagnosis of heart failure: a machine learning approach.

Existing risk prediction models for hospitalized heart failure patients are limited. We identified patients hospitalized with a diagnosis of heart failure between 7 May 2013 and 26 April 2022 from a large academic, quaternary care medical centre (training cohort). Demographics, medical comorbidities, vitals, and labs were collected and were used to construct random forest machine learning models to predict in-hospital mortality. Models were compared with logistic regression, and to commonly used heart failure risk scores. The models were subsequently validated in patients hospitalized with a diagnosis of heart failure from a second academic, community medical centre (validation cohort). The entire cohort comprised 21 802 patients, of which 14 539 were in the training cohort and 7263 were in the validation cohort. The median age (25th-75th percentile) was 70 (58-82) for the entire cohort, 43.2% were female, and 6.7% experienced inpatient mortality. In the overall cohort, 7621 (35.0%) patients had heart failure with reduced ejection fraction (EF ≤ 40%), 1271 (5.8%) had heart failure with mildly reduced EF (EF 41-49%), and 12 910 (59.2%) had heart failure with preserved EF (EF ≥ 50%). Random forest models in the validation cohort demonstrated a c-statistic (95% confidence interval) of 0.96 (0.95-0.97), sensitivity (SN) of 87.3%, and specificity (SP) of 90.6% for the prediction of in-hospital mortality. Models for those with HFrEF demonstrated a c-statistic of 0.96 (0.94-0.98), SN 88.2%, and SP 91.0%, and those for patients with HFpEF showed a c-statistic of 0.95 (0.93-0.97), SN 87.4%, and SP 89.5% for predicting in-hospital mortality. The random forest model significantly outperformed logistic regression (c-statistic 0.87, SN 75.9%, and SP 86.9%), and current existing risk scores including the Acute Decompensated Heart Failure National Registry risk score (c-statistic of 0.70, SN 69%, and SP 62%), and the Get With the Guidelines-Heart Failure risk score (c-statistic 0.69, SN 67%, and SP 63%); P < 0.001 for comparison. Machine learning models built from commonly recorded patient information can accurately predict in-hospital mortality among patients hospitalized with a diagnosis of heart failure.

Characteristics of High-Performing Hospitals in Cardiogenic Shock Following Acute Myocardial Infarction.

Cardiogenic shock after acute myocardial infarction (AMI-CS) carries significant mortality despite advances in revascularization and mechanical circulatory support. We sought to identify the process-based and structural characteristics of centers with lower mortality in AMI-CS. We analyzed 16,337 AMI-CS cases across 440 centers enrolled in the National Cardiovascular Data Registry's Chest Pain-MI Registry, a retrospective cohort database, between January 1, 2015, and December 31, 2018. Centers were stratified across tertiles of risk-adjusted in-hospital mortality rate (RAMR) for comparison. Risk-adjusted multivariable logistic regression was also performed to identify hospital-level characteristics associated with decreased mortality. The median participant age was 66 (interquartile range 57 to 75) years, and 33.0% (n = 5,390) were women. The median RAMR was 33.4% (interquartile range 26.0% to 40.0%) and ranged from 26.9% to 50.2% across tertiles. Even after risk adjustment, lower-RAMR centers saw patients with fewer co-morbidities. Lower-RAMR centers performed more revascularization (92.8% vs 90.6% vs 85.9%, p <0.001) and demonstrated better adherence to associated process measures. Left ventricular assist device capability (odds ratio [OR] 0.78 [0.67 to 0.92], p = 0.002), more frequent revascularization (OR 0.93 [0.88 to 0.98], p = 0.006), and higher AMI-CS volume (OR 0.95 [0.91 to 0.99], p = 0.009) were associated with lower in-hospital mortality. However, several such characteristics were not more frequently observed at low-RAMR centers, despite potentially reflecting greater institutional experience or resources. This may reflect the heterogeneity of AMI-CS even after risk adjustment. In conclusion, low-RAMR centers do not necessarily exhibit factors associated with decreased mortality in AMI-CS, which may reflect the challenges in performing outcomes research in this complex population.

Toward a Universal Definition of Etiologies in Heart Failure: Categorizing Causes and Advancing Registry Science.

Heart failure (HF) is a well-described final common pathway for a broad range of diseases however substantial confusion exists regarding how to describe, study, and track these underlying etiologic conditions. We describe (1) the overlap in HF etiologies, comorbidities, and case definitions as currently used in HF registries led or managed by members of the global HF roundtable; (2) strategies to improve the quality of evidence on etiologies and modifiable risk factors of HF in registries; and (3) opportunities to use clinical HF registries as a platform for public health surveillance, implementation research, and randomized registry trials to reduce the global burden of noncommunicable diseases. Investment and collaboration among countries to improve the quality of evidence in global HF registries could contribute to achieving global health targets to reduce noncommunicable diseases and overall improvements in population health.

Still having his say: David Yoder's legacy in AAC.

On February 2 2023, one of the guiding lights in the field of augmentative and alternative communication (AAC) for more than four decades, David E. Yoder, passed away at the age of 90. A voracious reader and gifted storyteller, David was particularly fond of a quote from George Bernard Shaw's Back to Methuselah, "You see things; and you say 'Why?' but I dream things that never were; and I say 'Why not?'" That vision led him to take on multiple leadership roles and influence the field of AAC in multiple ways. He played a pivotal role in establishing both the International Society for Augmentative and Alternative Communication (ISAAC) and the United States Society for Augmentative and Alternative Communication (USSAAC). Additionally, he chaired the panel for the National Institute on Disability and Rehabilitation Research (NIDRR)'s inaugural Consensus Validation Conference on AAC, advocated for the American Speech-Language-Hearing Association to recognize AAC within the profession's scope of practice, and served as the first editor for the Augmentative and Alternative Communication journal. In this tribute, we describe David's diverse and unique contributions to improving the lives of people with communication challenges with a focus on some of his central insights and actions.