Comparative Outcomes of Sacubitril/Valsartan Use After Hospitalization for Heart Failure Among Medicare Beneficiaries Naïve to Renin-Angiotensin System Inhibitors.

Sacubitril/valsartan improves outcomes in patients with heart failure with reduced ejection fraction (HFrEF) compared with angiotensin-converting enzyme inhibitors (ACEis). However, data on postdischarge outcomes in renin-angiotensin system inhibitor (RASi)-naïve patients are limited. We included Medicare beneficiaries aged ≥65 years who were hospitalized for HFrEF in the Get With The Guidelines-Heart Failure registry between October 2015 and June 2019, had part D prescription coverage, and were not on RASi therapy during the 6 months before hospital admission. We examined the associations between sacubitril/valsartan prescription at hospital discharge and outcomes at 30 days and 1 year after discharge using overlap-weighted median regression and Cox proportional hazards models. The end points included "home time" (defined as days alive and out of any health care institution), mortality, and rehospitalization. Among 3,572 patients with HFrEF and who are naïve to RASi therapy, at discharge, 290 (8.1%) were prescribed sacubitril/valsartan and 1,390 (38.9%) were prescribed ACEis and angiotensin receptor blockers. After adjusting for baseline characteristics, patients prescribed sacubitril/valsartan had a longer median home time (parameter estimate 27.0 days, 95% confidence interval [CI] 12.40 to 41.6, p <0.001) and lower all-cause mortality (hazard ratio [HR] 0.74, 95% CI 0.61 to 0.91, p = 0.004) at 1 year than patients not prescribed sacubitril/valsartan. The prescription of sacubitril/valsartan was not significantly associated with all-cause rehospitalization (HR 0.87, 95% CI 0.74 to 1.03, p = 0.10) or heart failure rehospitalization (HR 0.87, 95% CI 0.70 to 1.07, p = 0.19). In a restricted comparison of patients discharged on sacubitril/valsartan versus ACEis and angiotensin receptor blockers, there were no significant differences in the outcomes. In conclusion, in this contemporary population of RASi-naïve patients with HFrEF from routine clinical practice, compared with not initiating, the initiation of sacubitril/valsartan at discharge was associated with longer home time and improvements in overall survival.

Quality of Care and Outcomes Among Patients Hospitalized for Heart Failure in Rural vs Urban US Hospitals: The Get With The Guidelines-Heart Failure Registry.

Importance: Prior studies have suggested patients with heart failure (HF) from rural areas have worse clinical outcomes. Contemporary differences between rural and urban hospitals in quality of care and clinical outcomes for patients hospitalized for HF remain poorly understood. Objective: To assess quality of care and clinical outcomes for US patients hospitalized for HF at rural vs urban hospitals. Design, Setting, and Participants: This retrospective cohort study analyzed 774 419 patients hospitalized for HF across 569 sites in the Get With The Guidelines-Heart Failure (GWTG-HF) registry between January 1, 2014, and September 30, 2021. Postdischarge outcomes were assessed in a subset of 161 996 patients linked to Medicare claims. Data were analyzed from August 2022 to January 2023. Main Outcomes and Measures: GWTG-HF quality measures, in-hospital mortality, length of stay, and 30-day mortality and readmission outcomes. Results: This study included 19 832 patients (2.6%) and 754 587 patients (97.4%) hospitalized at 49 rural hospitals (8.6%) and 520 urban hospitals (91.4%), respectively. Of 774 419 included patients, 366 161 (47.3%) were female, and the median (IQR) age was 73 (62-83) years. Compared with patients at urban hospitals, patients at rural hospitals were older (median [IQR] age, 74 [64-84] years vs 73 [61-83] years; standardized difference, 10.63) and more likely to be non-Hispanic White (14 572 [73.5%] vs 498 950 [66.1%]; standardized difference, 34.47). In adjusted models, patients at rural hospitals were less likely to be prescribed cardiac resynchronization therapy (adjusted risk difference [aRD], -13.5%; adjusted odds ratio [aOR], 0.44; 95% CI, 0.22-0.92), angiotensin-converting enzyme inhibitor or angiotensin receptor blocker (aRD, -3.7%; aOR, 0.71; 95% CI, 0.53-0.96), and an angiotensin receptor-neprilysin inhibitor (aRD, -5.0%; aOR, 0.68; 95% CI, 0.47-0.98) at discharge. In-hospital mortality was similar between rural and urban hospitals (460 of 19 832 [2.3%] vs 20 529 of 754 587 [2.7%]; aOR, 0.86; 95% CI, 0.70-1.07). Patients at rural hospitals were less likely to have a length of stay of 4 or more days (aOR, 0.75; 95% CI, 0.67-0.85). Among Medicare beneficiaries, there were no significant differences between rural and urban hospitals in 30-day HF readmission (adjusted hazard ratio [aHR], 1.03; 95% CI, 0.90-1.19), all-cause readmission (aHR, 0.97; 95% CI, 0.91-1.04), and all-cause mortality (aHR, 1.05; 95% CI, 0.91-1.21). Conclusions and Relevance: In this large contemporary cohort of US patients hospitalized for HF, care at rural hospitals was independently associated with lower use of some guideline-recommended therapies at discharge and shorter length of stay. In-hospital mortality and 30-day postdischarge outcomes were similar at rural and urban hospitals.

Trends in heart failure-related cardiovascular mortality in rural versus urban United States counties, 2011-2018: A cross-sectional study.

BACKGROUND: Adults in rural counties in the United States (US) experience higher rates broadly of cardiovascular disease (CVD) compared with adults in urban counties. Mortality rates specifically due to heart failure (HF) have increased since 2011, but estimates of heterogeneity at the county-level in HF-related mortality have not been produced. The objectives of this study were 1) to quantify nationwide trends by rural-urban designation and 2) examine county-level factors associated with rural-urban differences in HF-related mortality rates. METHODS AND FINDINGS: We queried CDC WONDER to identify HF deaths between 2011-2018 defined as CVD (I00-78) as the underlying cause of death and HF (I50) as a contributing cause of death. First, we calculated national age-adjusted mortality rates (AAMR) and examined trends stratified by rural-urban status (defined using 2013 NCHS Urban-Rural Classification Scheme), age (35-64 and 65-84 years), and race-sex subgroups per year. Second, we combined all deaths from 2011-2018 and estimated incidence rate ratios (IRR) in HF-related mortality for rural versus urban counties using multivariable negative binomial regression models with adjustment for demographic and socioeconomic characteristics, risk factor prevalence, and physician density. Between 2011-2018, 162,314 and 580,305 HF-related deaths occurred in rural and urban counties, respectively. AAMRs were consistently higher for residents in rural compared with urban counties (73.2 [95% CI: 72.2-74.2] vs. 57.2 [56.8-57.6] in 2018, respectively). The highest AAMR was observed in rural Black men (131.1 [123.3-138.9] in 2018) with greatest increases in HF-related mortality in those 35-64 years (+6.1%/year). The rural-urban IRR persisted among both younger (1.10 [1.04-1.16]) and older adults (1.04 [1.02-1.07]) after adjustment for county-level factors. Main limitations included lack of individual-level data and county dropout due to low event rates (<20). CONCLUSIONS: Differences in county-level factors may account for a significant amount of the observed variation in HF-related mortality between rural and urban counties. Efforts to reduce the rural-urban disparity in HF-related mortality rates will likely require diverse public health and clinical interventions targeting the underlying causes of this disparity.

Pre-Pregnancy Hypertension Among Women in Rural and Urban Areas of the United States.

BACKGROUND: Rates of maternal mortality are increasing in the United States with significant rural-urban disparities. Pre-pregnancy hypertension is a well-established risk factor for adverse maternal and offspring outcomes. OBJECTIVES: The purpose of this study was to describe trends in maternal pre-pregnancy hypertension among women in rural and urban areas in 2007 to 2018 in order to inform community-engaged prevention and policy strategies. METHODS: We performed a nationwide, serial cross-sectional study using maternal data from all live births in women age 15 to 44 years between 2007 and 2018 (CDC Natality Database). Rates of pre-pregnancy hypertension were calculated per 1,000 live births overall and by urbanization status. Subgroup analysis in standard 5-year age categories was performed. We quantified average annual percentage change using Joinpoint Regression and rate ratios (95% confidence intervals [CIs]) to compare yearly rates between rural and urban areas. RESULTS: Among 47,949,381 live births to women between 2007 and 2018, rates of pre-pregnancy hypertension per 1,000 live births increased among both rural (13.7 to 23.7) and urban women (10.5 to 20.0). Two significant inflection points were identified in 2010 and 2016, with highest annual percentage changes between 2016 and 2018 in rural and urban areas. Although absolute rates were lower in younger compared with older women in both rural and urban areas, all age groups experienced similar increases. The rate ratios of pre-pregnancy hypertension in rural compared with urban women ranged from 1.18 (95% CI: 1.04 to 1.35) for ages 15 to 19 years to 1.51 (95% CI: 1.39 to 1.64) for ages 40 to 44 years in 2018. CONCLUSIONS: Maternal burden of pre-pregnancy hypertension has nearly doubled in the past decade and the rural-urban gap has persisted.

Today's Students, Tomorrow's Physicians: Opinions on Enacted and Prospective Health Care Policies.

Future physicians will be key stakeholders in the formation, implementation, and success of health care policies enacted during their careers, though little is known of their opinions of enacted and proposed policies since the 2016 U.S. presidential election. This study aimed to understand the opinions of medical students related to policies including, but not limited to, protections for people with pre-existing conditions, a public option on the private exchange, and single-payer health care. Online surveys were completed by 1,660 medical students at 7 U.S. medical schools between October 2017 and November 2017. The authors used multiple logistic regression to examine associations between student characteristics and support of policies. In total, 1,660 of 4,503 (36.9%) eligible medical students completed the survey. A majority of respondents identified 4 extant Affordable Care Act policies as important, including its protections for patients with pre-existing conditions (95.3%) and Medicaid expansion (77.8%). With respect to prospective reforms, 82.6% supported a public insurance option, and 70.5% supported a single-payer health care system. Only 2.2% supported reducing funding for Medicaid. Although views varied by sex, anticipated specialty, and political affiliation, medical students largely supported prospective policies that would expand insurance coverage and access to health care.

Looking to the Future: Medical Students' Views on Health Care Reform and Professional Responsibility.

PURPOSE: Although medical students will influence the future U.S. health care system, their opinions on the Patient Protection and Affordable Care Act (ACA) have not been assessed since the 2016 presidential election and elimination of key ACA provisions. Understanding medical students' views on health care policy and professional obligations can provide insight into issues that will be shaped by the next generation of physicians. METHOD: From October 2017 to November 2017, the authors conducted an electronic survey of medical students from seven U.S. institutions to elicit opinions regarding the ACA and their professional responsibility to address health policy. Participant demographics and responses were tabulated, and multiple logistic regression models were used to assess the associations of demographic characteristics with student opinions. RESULTS: Completed surveys were returned by 1,660/4,503 (36.9%) eligible medical students. Respondent demographics were similar to national estimates. In total, 89.1% (1,475/1,660) supported the ACA, and 82.0% (1,362/1,660) reported that they understood the health care law. Knowledge of the law's provisions was positively associated with support for the ACA (P < .001). Most students (85.8%; 1,423/1,660) reported addressing health policy to be a professional responsibility. Political affiliation was consistently associated with student opinions. CONCLUSIONS: Most medical students support the ACA, with greater levels of support among medical students who demonstrated higher levels of objective knowledge about the law. Furthermore, students indicated a professional responsibility to engage in health policy, suggesting that tomorrow's physicians are likely to participate in future health care reform efforts.

A Prospective Pilot Study of Pocket-Carried Ultrasound Pre- and Postdischarge Inferior Vena Cava Assessment for Prediction of Heart Failure Rehospitalization.

BACKGROUND: Rehospitalization for heart failure (HF) is common, and subclinical congestion may be present at discharge. Larger inferior vena cava (IVC) size and lower collapsibility at discharge assessed via bedside ultrasound are predictive of rehospitalization; however, the utility of IVC assessment with the use of pocket-carried ultrasound (PCUS) during the transition from discharge to the posthospitalization follow-up visit (FU) has not been investigated. METHODS AND RESULTS: IVCmax and IVCmin were measured with the use of PCUS, and the collapsibility index (IVCCI = [IVCmax - IVCmin]/IVCmax) was determined. The primary outcome was 90-day rehospitalization or death. We prospectively enrolled 49 adults (71 ± 13 years of age, 51% male, 47% black, 43% preserved ejection fraction) hospitalized for HF. Nineteen patients (39%) experienced the outcome. Within the rehospitalized group, discharge and FU mean IVCmax were both >2.1 cm (2.2 ± 0.5 and 2.2 ± 0.7) and IVCCIs <50% (44 ± 20% and 45 ± 24%). Within those not rehospitalized, FU IVCmax was ≤2.1 cm (2.1 ± 0.6 and 1.9 ± 0.6; P = .038) and IVCCI >50% at both time points (55 ± 25% and 62 ± 19%; P = NS). FU IVCCI below an optimal cutoff of 42% had modest discrimination alone (c-statistic = 0.73). FU IVCCI <42% was associated with a greater hazard of the outcome independent of admission log B-type natriuretic peptide (adjusted hazard ratio = 6.8; 95% confidence interval 2.4-19.0; P < .001). CONCLUSIONS: Posthospitalization IVCCI assessment with PCUS predicts HF rehospitalization and may identify patients in need of intervention.