Physician-Reported Facilitators and Barriers for Side Effect Management of Heart Failure Medications.

BACKGROUND: Physician underprescribing and patient nonadherence are major barriers to the benefits of guideline-directed medical therapy. An important contributor to both underprescribing and patient nonadherence is concern about medication-related side effects. Yet, there are few to no data on approaches used by physicians to: (1) elicit medication-related side effects, (2) attribute these side effects to specific medications, and (3) take appropriate action. METHODS AND RESULTS: The authors conducted semistructured interviews with physicians to identify facilitators and barriers to each critical step of heart failure medication management: elicitation of side effects, attribution of side effects to a medication, and action in response to attributed side effects. Interviews were transcribed and coded using directed content analysis. For elicitation of potential side effects, limited patient communication and family discordance in reporting were key barriers, whereas guiding questions, measurement, and open channels of communication were key facilitators. For attribution of side effects, confounding from other medications, limited time for clinical encounters, and nonspecific symptoms were key barriers, whereas time-limited medication discontinuation trials and medication rechallenges were key facilitators. For taking action, challenges with weighing risks and benefits and physician fear about causing harm or interfering with other clinicians were barriers, whereas patient-physician communication and the results of a medication discontinuation trials and medication rechallenge were facilitators. CONCLUSIONS: This study generated key facilitators and barriers to 3 key aspects of heart failure medication management related to side effects that should drive future work to improve heart failure medication management.

Reductions in renin-angiotensin system inhibitors following hospitalization for heart failure.

AIMS: Limited data are available that evaluate the efficacy of renin-angiotensin system inhibitor (RASI) dose-reduction in older adults with heart failure with reduced ejection fraction following a heart failure hospitalization. METHODS AND RESULTS: We examined a 5% random sample of Medicare beneficiaries with prescription coverage who were discharged to home following a hospitalization for heart failure with reduced ejection fraction between 1 January 2007 and 30 June 2018 and were treated with RASI prior to hospitalization. We classified patients into three mutually exclusive groups based on RASI dosage before (prescription fills up to 90 days prior to) and after a hospitalization (prescription fills up to 365 days that were most proximate to the discharge date as possible)-same/increased dose, dose-reduction, and discontinuation. We examined associations between RASI prescribing patterns and outcomes (mortality and all-cause readmission at 30 days and 1 year) using Cox proportional hazards models. Among 12 794 unique older adults, 36.8% experienced a RASI reduction following their hospitalization for HFrEF-15.7% had a dose-reduction and 21.1% had a discontinuation. Neither dose-reduction nor discontinuation was associated with 30-day mortality. Discontinuation was associated 1-year mortality, 30-day all-cause readmission, and 1-year all-cause readmission, whereas dose-reduction was not. CONCLUSION: RASI dose-reduction occurs in 1 out of 7 HF hospitalizations. In contrast to RASI discontinuation, RASI dose-reduction was not associated with adverse short or long-term outcomes. These findings indicate that RASI dose-reduction is preferred over RASI discontinuation in selected situations where RASI reduction is needed.

Discontinuation versus continuation of statins: A systematic review.

BACKGROUND: Clinicians and patients often face a decision to continue or discontinue statins. We examined the impact of discontinuation of statins compared with continuation on clinical outcomes (all-cause mortality, cardiovascular [CV] mortality, CV events, and quality of life). METHODS: We conducted a systematic review. Randomized controlled trials (RCTs), cohort studies, case-control studies, and quasi-randomized studies among people ≥18 years were eligible. We searched MEDLINE, Embase, and Cochrane Central Registry (inception to August 2023). Two independent reviewers performed screening and extracted data. Quality assessment was performed by one author and verified by another. We summarized results narratively, performed meta-analysis for a subset of studies, and used GRADE to assess certainty of evidence. We summarized findings in the subgroup of persons ≥75 years. RESULTS: We retrieved 8369 titles/abstracts; 37 reports from 36 studies were eligible. This comprised 35 non-randomized studies (n = 1,708,684) and 1 RCT (n = 381). The 1 RCT was conducted among persons with life expectancy <1 year and showed there is probably no difference in 60-day mortality (risk difference = 3.5%, 90% CI -3.5 to 10.5) for statin discontinuation compared with continuation. Non-randomized studies varied in terms of population and setting, but consistently suggested that statin discontinuation might be associated with a relative increased risk of mortality (hazard ratio (HR) 1.92, 95% CI 1.52 to 2.44, nine studies), CV mortality (HR 1.63, 95% CI 1.27 to 2.10, five reports), and CV events (HR 1.31, 95% CI 1.23 to 1.39, eight reports). Findings in people ≥75 years were consistent with main results. There was a high degree of uncertainty in findings from non-randomized studies due to methodological limitations. CONCLUSIONS: Statin discontinuation does not appear to affect short-term mortality near end-of-life based on one RCT. Outside of this population, findings from non-randomized studies consistently suggested statin discontinuation may be associated with worse outcomes, though this is uncertain.

Palliative Pharmacotherapy for Cardiovascular Disease: A Scientific Statement From the American Heart Association.

Cardiovascular disease exacts a heavy toll on health and quality of life and is the leading cause of death among people ≥65 years of age. Although medical, surgical, and device therapies can certainly prolong a life span, disease progression from chronic to advanced to end stage is temporally unpredictable, uncertain, and marked by worsening symptoms that result in recurrent hospitalizations and excessive health care use. Compared with other serious illnesses, medication management that incorporates a palliative approach is underused among individuals with cardiovascular disease. This scientific statement describes palliative pharmacotherapy inclusive of cardiovascular drugs and essential palliative medicines that work synergistically to control symptoms and enhance quality of life. We also summarize and clarify available evidence on the utility of guideline-directed and evidence-based medical therapies in individuals with end-stage heart failure, pulmonary arterial hypertension, coronary heart disease, and other cardiomyopathies while providing clinical considerations for de-escalating or deprescribing. Shared decision-making and goal-oriented care are emphasized and considered quintessential to the iterative process of patient-centered medication management across the spectrum of cardiovascular disease.

Initiation of Statins for Primary Prevention in Heart Failure With Preserved Ejection Fraction.

Background: Statins are highly effective for primary prevention of atherosclerotic cardiovascular disease (ASCVD) and mortality. Data on the benefit of statins in adults with heart failure with preserved ejection fraction (HFpEF) and without ASCVD are limited. Objectives: The purpose of this study was to determine whether statins are associated with a lower risk of mortality and major adverse cardiovascular events (MACE) in HFpEF. Methods: Veterans Health Administration data from 2002 to 2016, linked to Medicare and Medicaid claims and pharmaceutical data, were collected. Patients had a new HFpEF diagnosis and no known ASCVD or prior statin use at baseline. Cox proportional hazards models were fit to evaluate the association of new statin use with outcomes (all-cause mortality and MACE). Propensity score overlap weighting (PSW) was used to balance baseline characteristics. Results: Among 7,970 Veterans, 47% initiated a statin over a mean 6.0-year follow-up. At HFpEF diagnosis, mean age was 69 ± 12 years, 96% were male, 67% were White, 14% were Black, and mean EF was 60% ± 6%. Before PSW, statin users were younger with more prevalent metabolic syndrome, arthritis, and other chronic conditions. All characteristics were balanced after PSW. There were 5,314 deaths and 4,859 MACE events. After PSW, the hazard for all-cause mortality for statin users vs nonusers was 22% lower (HR: 0.78; 95% CI: 0.73-0.83). The HR for MACE was 0.79 (95% CI: 0.74-0.84), 0.69 (95% CI: 0.60-0.80) for all-cause hospitalization, and 0.72 (95% CI: 0.59-0.88) for HF hospitalization. Conclusions: New statin use was associated with reduced all-cause mortality, MACE, and hospitalization in Veterans with HFpEF without prevalent ASCVD.

Development and validation of mortality prediction models based on the social determinants of health.

BACKGROUND: There is no standardised approach to screening adults for social risk factors. The goal of this study was to develop mortality risk prediction models based on the social determinants of health (SDoH) for clinical risk stratification. METHODS: Data were used from REasons for Geographic And Racial Differences in Stroke (REGARDS) study, a national, population-based, longitudinal cohort of black and white Americans aged ≥45 recruited between 2003 and 2007. Analysis was limited to participants with available SDoH and mortality data (n=20 843). All-cause mortality, available through 31 December 2018, was modelled using Cox proportional hazards with baseline individual, area-level and business-level SDoH as predictors. The area-level Social Vulnerability Index (SVI) was included for comparison. All models were adjusted for age, sex and sampling region and underwent internal split-sample validation. RESULTS: The baseline prediction model including only age, sex and REGARDS sampling region had a c-statistic of 0.699. An individual-level SDoH model (Model 1) had a higher c-statistic than the SVI (0.723 vs 0.708, p<0.001) in the testing set. Sequentially adding area-level SDoH (c-statistic 0.723) and business-level SDoH (c-statistics 0.723) to Model 1 had minimal improvement in model discrimination. Structural racism variables were associated with all-cause mortality for black participants but did not improve model discrimination compared with Model 1 (p=0.175). CONCLUSION: In conclusion, SDoH can improve mortality prediction over 10 years relative to a baseline model and have the potential to identify high-risk patients for further evaluation or intervention if validated externally.

On-treatment analysis of torsemide versus furosemide for patients hospitalized for heart failure: A post-hoc analysis of TRANSFORM-HF.

AIM: The TRANSFORM-HF trial demonstrated no significant outcome differences between torsemide and furosemide following hospitalization for heart failure (HF), but may have been impacted by non-adherence to the randomized diuretic. The current study sought to determine the treatment effect of torsemide versus furosemide using an on-treatment analysis inclusive of all randomized patients except those confirmed non-adherent to study diuretic. METHODS AND RESULTS: TRANSFORM-HF was an open-label, pragmatic randomized trial of 2859 patients hospitalized for HF from June 2018 through March 2022. Patients were randomized to a loop diuretic strategy of torsemide versus furosemide with investigator-selected dosage. This post-hoc on-treatment analysis included all patients alive with either known or unknown diuretic status, and excluded patients confirmed to be non-adherent to study diuretic. This modified on-treatment definition was applied separately at time of hospital discharge and 30-day follow-up. All-cause mortality and hospitalization outcomes were assessed over 12 months. Overall, 2570 (89.9%) and 2374 (83.0%) patients were included in on-treatment analyses at discharge and 30-day follow-up, respectively. There was no significant difference in all-cause mortality between torsemide and furosemide in patients on-treatment at discharge (17.5% vs. 17.8%; hazard ratio [HR] 1.01 [95% confidence interval [CI] 0.83-1.22], p = 0.96) and at 30-day follow-up (14.5% vs. 15.0%; HR 1.02 [95% CI 0.81-1.27], p = 0.90). All-cause mortality or all-cause hospitalization was similar between torsemide and furosemide in patients who were on-treatment at discharge (58.3% vs. 61.3%; HR 0.92 [95% CI 0.82-1.03]) and 30-day follow-up (60.9% vs. 64.4%; HR 0.93 [95% CI 0.82-1.05]). In patients who were on-treatment at 30-day follow-up, there were 677 total hospitalizations in the torsemide group and 686 total hospitalizations in the furosemide group (rate ratio 0.99 [95% CI 0.86-1.14], p = 0.87). CONCLUSIONS: In TRANSFORM-HF, a post-hoc on-treatment analysis did not meaningfully differ from the original trial results. Among those deemed compliant with the assigned diuretic, there remained no significant difference in mortality or hospitalization after HF hospitalization with a strategy of torsemide versus furosemide. CLINICAL TRAIL REGISTRATION: ClinicalTrials.gov Identifier: NCT03296813.

Cardiovascular Burden of the V142I Transthyretin Variant.

Importance: Individual cohort studies concur that the amyloidogenic V142I variant of the transthyretin (TTR) gene, present in 3% to 4% of US Black individuals, increases heart failure (HF) and mortality risk. Precisely defining carrier risk across relevant clinical outcomes and estimating population burden of disease are important given established and emerging targeted treatments. Objectives: To better define the natural history of disease in carriers across mid to late life, assess variant modifiers, and estimate cardiovascular burden to the US population. Design, Setting, and Participants: A total of 23 338 self-reported Black participants initially free from HF were included in 4 large observational studies across the US (mean [SD], 15.5 [8.2] years of follow-up). Data analysis was performed between May 2023 and February 2024. Exposure: V142I carrier status (n = 754, 3.2%). Main Outcomes and Measures: Hospitalizations for HF (including subtypes of reduced and preserved ejection fraction) and all-cause mortality. Outcomes were analyzed by generating 10-year hazard ratios for each age between 50 and 90 years. Using actuarial methods, mean survival by carrier status was estimated and applied to the 2022 US population using US Census data. Results: Among the 23 338 participants, the mean (SD) age at baseline was 62 (9) years and 76.7% were women. Ten-year carrier risk increased for HF hospitalization by age 63 years, predominantly driven by HF with reduced ejection fraction, and 10-year all-cause mortality risk increased by age 72 years. Only age (but not sex or other select variables) modified risk with the variant, with estimated reductions in longevity ranging from 1.9 years (95% CI, 0.6-3.1) at age 50 to 2.8 years (95% CI, 2.0-3.6) at age 81. Based on these data, 435 851 estimated US Black carriers between ages 50 and 95 years are projected to cumulatively lose 957 505 years of life (95% CI, 534 475-1 380 535) due to the variant. Conclusions and Relevance: Among self-reported Black individuals, male and female V142I carriers faced similar and substantial risk for HF hospitalization, predominantly with reduced ejection fraction, and death, with steep age-dependent penetrance. Delineating the individual contributions of, and complex interplay among, the V142I variant, ancestry, the social construct of race, and biological or social determinants of health to cardiovascular disease merits further investigation.

Sex-Based Differences in the Epidemiology, Clinical Characteristics, and Outcomes Associated with Worsening Heart Failure Events in a Learning Health System.

BACKGROUND: Differences in demographics, risk factors, and clinical characteristics may contribute to variations in men and women in terms of the prevalence, clinical setting, and outcomes associated with worsening heart failure (WHF) events. We sought to describe sex-based differences in the epidemiology, clinical characteristics, and outcomes associated with WHF events across clinical settings. METHODS AND RESULTS: We examined adults diagnosed with HF from 2010 to 2019 within a large, integrated health care delivery system. Electronic health record data were accessed for hospitalizations, emergency department (ED) visits and observation stays, and outpatient encounters. WHF was identified using validated natural language processing algorithms and defined as ≥1 symptom, ≥2 objective findings (including ≥1 sign), and ≥1 change in HF-related therapy. Incidence rates and associated outcomes for WHF were compared across care setting by sex. We identified 1,122,368 unique clinical encounters with a diagnosis code for HF, with 124,479 meeting WHF criteria. These WHF encounters existed among 102,116 patients, of whom 48,543 (47.5%) were women and 53,573 (52.5%) were men. Women experiencing WHF were older and more likely to have HF with preserved ejection fraction compared with men. The clinical settings of WHF were similar among women and men: hospitalizations (36.8% vs 37.7%), ED visits or observation stays (11.8% vs 13.4%), and outpatient encounters (4.4% vs 4.9%). Women had lower odds of 30-day mortality after an index hospitalization (adjusted odds ratio 0.88, 95% confidence interval 0.83-0.93) or ED visit or observation stay (adjusted odds ratio 0.86, 95% confidence interval 0.75-0.98) for WHF. CONCLUSIONS: Women and men contribute similarly to WHF events across diverse clinical settings despite marked differences in age and left ventricular ejection fraction.

Sarcopenia and aortic valve disease.

Valvular heart disease, including calcific or degenerative aortic stenosis (AS), is increasingly prevalent among the older adult population. Over the last few decades, treatment of severe AS has been revolutionised following the development of transcatheter aortic valve replacement (TAVR). Despite improvements in outcomes, older adults with competing comorbidities and geriatric syndromes have suboptimal quality of life outcomes, highlighting the cumulative vulnerability that persists despite valve replacement. Sarcopenia, characterised by loss of muscle strength, mass and function, affects 21%-70% of older adults with AS. Sarcopenia is an independent predictor of short-term and long-term outcomes after TAVR and should be incorporated as a prognostic marker in preprocedural planning. Early diagnosis and treatment of sarcopenia may reduce morbidity and mortality and improve quality of life following TAVR. The adverse effects of sarcopenia can be mitigated through resistance training and optimisation of nutritional status. This is most efficacious when administered before sarcopenia has progressed to advanced stages. Management should be individualised based on the patient's wishes/preferences, care goals and physical capability. Exercise during the preoperative waiting period may be safe and effective in most patients with severe AS. However, future studies are needed to establish the benefits of prehabilitation in improving quality of life outcomes after TAVR procedures.

Aging in Heart Failure: Embracing Biology Over Chronology: JACC Family Series.

Age is among the most potent risk factors for developing heart failure and is strongly associated with adverse outcomes. As the global population continues to age and the prevalence of heart failure rises, understanding the role of aging in the development and progression of this chronic disease is essential. Although chronologic age is on a fixed course, biological aging is more variable and potentially modifiable in patients with heart failure. This review describes the current knowledge on mechanisms of biological aging that contribute to the pathogenesis of heart failure. The discussion focuses on 3 hallmarks of aging-impaired proteostasis, mitochondrial dysfunction, and deregulated nutrient sensing-that are currently being targeted in therapeutic development for older adults with heart failure. In assessing existing and emerging therapeutic strategies, the review also enumerates the importance of incorporating geriatric conditions into the management of older adults with heart failure and in ongoing clinical trials.

Carpal Tunnel Syndrome and Transthyretin Amyloidosis in the All of Us Research Program.

OBJECTIVE: To evaluate the association of carpal tunnel syndrome (CTS) with incident heart failure and incident amyloidosis and to assess the risk of CTS in pathogenic TTR genetic variant carriers. METHODS: This prospective cohort study included multiethnic US adults 18 years of age and older without prevalent heart failure and amyloidosis with available genotypic data from the All of Us Research Program. The primary outcomes were incident heart failure and incident amyloidosis. The association of incident heart failure and incident amyloidosis with CTS was assessed using multivariable adjusted Cox models accounting for age, sex, race and ethnicity, obesity, hypertension, diabetes, statin use, and smoking status. RESULTS: Of the 166,987 individuals included, the median age was 54 (38 to 66) years; 105,279 (63.0%) were female, and 92,780 (55.6%) were non-Hispanic White individuals; CTS was identified in 12,407 (7.4%) individuals. Compared with individuals without CTS, the adjusted hazard ratio for incident heart failure was 1.13 (95% CI, 1.02 to 1.26) in individuals with CTS. The risk of amyloidosis was ∼3-fold higher (adjusted hazard ratio, 2.86; 95% CI, 1.71 to 4.77) in individuals with CTS compared with those without CTS. Individuals carrying a pathogenic TTR variant had an approximately 40% higher risk (adjusted hazard ratio, 1.38; 95% CI, 1.16 to 1.65) for development of CTS compared with noncarriers. CONCLUSION: Cardiac amyloidosis screening programs may use CTS as a sentinel event and use genetic testing to identify individuals at a higher risk of TTR amyloidosis.

Definition of Polypharmacy in Heart Failure: A Scoping Review of the Literature.

Patients with heart failure (HF) have a high prevalence of polypharmacy, which can lead to drug interactions, cognitive impairment, and medication non-compliance. However, the definition of polypharmacy in these patients is still inconsistent. The aim of this scoping review was to find the most common definition of polypharmacy in HF patients. We conducted a scoping review searching Medline, Embase, CINAHL, and Cochrane using terms including polypharmacy, HF and deprescribing, which resulted in 7,949 articles. Articles without a definition of polypharmacy in HF patients and articles which included patients < 18 years of age were excluded; only 59 articles were included. Of the 59 articles, 49% (n = 29) were retrospective, 20% (n = 12) were prospective, 10% (n = 6) were cross-sectional, and 27% (n = 16) were review articles. Twenty percent (n = 12) of the articles focused on HF with reduced ejection fraction, 10% (n = 6) focused on HF with preserved ejection fraction and 69% (n = 41) articles either focused on both diagnoses or did not clarify the specific type of HF. The most common cutoff for polypharmacy in HF was five medications (59%, n = 35). There was no consensus regarding the inclusion or exclusion of over-the-counter medications, supplements, or vitamins. Some newer studies used a cutoff of 10 medications (14%, n = 8), and this may be a more practical and meaningful definition for HF patients.

Social Networks as a Key Health Determinant in Acute Illness Recovery: A Lesson from the COVID-19 Pandemic.

BACKGROUND: The COVID-19 pandemic highlighted the importance of considering social determinants of health in health outcomes. Within this spectrum of determinants, social networks garnered attention as the pandemic highlighted the negative effects of social isolation in the context of social distancing measures. Postpandemic, examining the role social networks play in COVID-19 recovery can help guide patient care and shape future health policies. This study aimed to investigate the relationship between social networks and self-rated health change, as well as physical function, in patients recovering from COVID-19 pneumonia. METHODS: This was a retrospective cohort study utilizing clinical data from 2 New York City hospitals and a 9-month follow-up survey of COVID-19 pneumonia survivors. We evaluated a composite Social Network Score from the 6-item Lubben Social Network Scale and its association with 2 outcomes: 1) self-rated health change and 2) physical function. RESULTS: A total of 208 patients were included in this study. A 1-point increase in the Social Network Score was associated with greater odds of both same or improved self-rated health change (odds ratio [OR] 1.07, 95% CI 1.02-1.12, P = .01), as well as unimpaired physical function (OR 1.08, 95% CI 1.03-1.14, P < .01). CONCLUSION: This study emphasized the importance of social networks as a social determinant of health among patients recovering from COVID-19 hospitalization. Targeted interventions to enhance social networks may benefit not only COVID-19 patients but also individuals recovering from other acute illnesses.

Cognitive Impairment in Heart Failure: A Heart Failure Society of America Scientific Statement.

Cognitive impairment is common among adults with heart failure (HF), as both diseases are strongly related to advancing age and multimorbidity (including both cardiovascular and noncardiovascular conditions). Moreover, HF itself can contribute to alterations in the brain. Cognition is critical for a myriad of self-care activities that are necessary to manage HF, and it also has a major impact on prognosis; consequently, cognitive impairment has important implications for self-care, medication management, function and independence, and life expectancy. Attuned clinicians caring for patients with HF can identify clinical clues present at medical encounters that suggest cognitive impairment. When present, screening tests such as the Mini-Cog, and consideration of referral for comprehensive neurocognitive testing may be indicated. Management of cognitive impairment should focus on treatment of underlying causes of and contributors to cognitive impairment, medication management/optimization, and accommodation of deficiencies in self-care. Given its implications on care, it is important to integrate cognitive impairment into clinical decision making. Although gaps in knowledge and challenges to implementation exist, this scientific statement is intended to guide clinicians in caring for and meeting the needs of an increasingly complex and growing subpopulation of patients with HF.

Impact of Advanced Therapy Centers on Characteristics and Outcomes of Heart Failure Admissions.

BACKGROUND: Although much attention has been paid to admission and transfer patterns for cardiogenic shock, contemporary data are lacking on decompensated heart failure (HF) admissions and transfers and the impact of advanced therapy centers (ATCs) on outcomes. METHODS: HF hospitalizations were obtained from the Nationwide Readmissions Database 2016 to 2019. Centers performing at least 1 heart transplant or left ventricular assist device were classified as ATCs. Patient characteristics, outcomes, and procedural volume were compared among 3 cohorts: admissions to non-ATCs, admissions to ATCs, and transfers to ATCs. A secondary analysis evaluated outcomes for severe HF hospitalizations (cardiogenic shock, cardiac arrest, and mechanical ventilation). Multivariable logistic regression was performed to adjust for the presence of HF decompensations and significant clinical variables during univariate analysis. RESULTS: A total of 2 331 690 hospitalizations (81.2%) were admissions to non-ATCs (94.5% of centers), 525 037 (18.3%) were admissions to ATCs (5.5% of centers), and 15 541 (0.5%) were transferred to ATCs. Patients treated at ATCs (especially those transferred) had higher rates of HF decompensations, procedural frequency, lengths of stay, and costs. Unadjusted mortality was 2.6% at non-ATCs and was higher at ATCs, both for directly admitted (2.9%, P<0.001) and transferred (11.2%, P<0.001) patients. However, multivariable-adjusted mortality was significantly lower at ATCs, both for directly admitted (odds ratio, 0.82 [95% CI, 0.78-0.87]; P<0.001) and transferred (odds ratio, 0.66 [95% CI, 0.57-0.78]; P<0.001) patients. For severe HF admissions, unadjusted mortality was 37.2% at non-ATCs and was lower at ATCs, both for directly admitted (25.3%, P<0.001) and transferred (25.2%, P<0.001) patients, with similarly lower multivariable-adjusted mortality. CONCLUSIONS: Patients with HF treated at ATCs were sicker but associated with higher procedural volume and lower adjusted mortality.

Neighborhood Disadvantage and Risk of Heart Failure: The Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study.

BACKGROUND: Heart failure (HF) affects >6 million US adults, with recent increases in HF hospitalizations. We aimed to investigate the association between neighborhood disadvantage and incident HF events and potential differences by diabetes status. METHODS: We included 23 645 participants from the REGARDS study (Reasons for Geographic and Racial Differences in Stroke), a prospective cohort of Black and White adults aged ≥45 years living in the continental United States (baseline 2005-2007). Neighborhood disadvantage was assessed using a Z score of 6 census tract variables (2000 US Census) and categorized as quartiles. Incident HF hospitalizations or HF-related deaths through 2017 were adjudicated. Multivariable-adjusted Cox regression was used to examine the association between neighborhood disadvantage and incident HF. Heterogeneity by diabetes was assessed using an interaction term. RESULTS: The mean age was 64.4 years, 39.5% were Black adults, 54.9% females, and 18.8% had diabetes. During a median follow-up of 10.7 years, there were 1125 incident HF events with an incidence rate of 3.3 (quartile 1), 4.7 (quartile 2), 5.2 (quartile 3), and 6.0 (quartile 4) per 1000 person-years. Compared to adults living in the most advantaged neighborhoods (quartile 1), those living in neighborhoods in quartiles 2, 3, and 4 (most disadvantaged) had 1.30 (95% CI, 1.06-1.60), 1.36 (95% CI, 1.11-1.66), and 1.45 (95% CI, 1.18-1.79) times greater hazard of incident HF even after accounting for known confounders. This association did not significantly differ by diabetes status (interaction P=0.59). For adults with diabetes, the adjusted incident HF hazards comparing those in quartile 4 versus quartile 1 was 1.34 (95% CI, 0.92-1.96), and it was 1.50 (95% CI, 1.16-1.94) for adults without diabetes. CONCLUSIONS: In this large contemporaneous prospective cohort, neighborhood disadvantage was associated with an increased risk of incident HF events. This increase in HF risk did not differ by diabetes status. Addressing social, economic, and structural factors at the neighborhood level may impact HF prevention.