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Abstract Background Excess muscle fat is observed in obesity and associated with greater burden of cardiovascular risk factors and higher risk of mortality. Liraglutide reduces total body weight and visceral fat but its effect on muscle fat and adverse muscle composition is unknown. Methods This is a pre‐specified secondary analysis of a randomized, double‐blind, placebo‐controlled trial that examined the effects of liraglutide plus a lifestyle intervention on visceral adipose tissue and ectopic fat among adults without diabetes with body mass index ≥30 kg/m2 or ≥27 kg/m2 and metabolic syndrome. Participants were randomly assigned to a once‐daily subcutaneous injection of liraglutide (target dose 3.0 mg) or matching placebo for 40 weeks. Body fat distribution and muscle composition was assessed by magnetic resonance imaging at baseline and 40‐week follow‐up. Muscle composition was described by the combination of thigh muscle fat and muscle volume. Treatment difference (95% confidence intervals [CI]) was calculated by least‐square means adjusted for baseline thigh muscle fat. The association between changes in thigh muscle fat and changes in body weight were assessed using Spearman correlation coefficients. The effect of liraglutide versus placebo on adverse muscle composition, denoted by high thigh muscle fat and low thigh muscle volume, was explored. Results Among the 128 participants with follow‐up imaging (92.2% women, 36.7% Black), median muscle fat at baseline was 7.8%. The mean percent change in thigh muscle fat over median follow‐up of 36 weeks was −2.87% among participants randomized to liraglutide (n = 73) and 0.05% in the placebo group (absolute change: −0.23% vs. 0.01%). The estimated treatment difference adjusted for baseline thigh muscle fat was −0.24% (95% CI, −0.41 to −0.06, P‐value 0.009). Longitudinal change in thigh muscle fat was significantly associated with change in body weight in the placebo group but not the liraglutide group. The proportion of participants with adverse muscle composition decreased from 11.0% to 8.2% over follow‐up with liraglutide, but there was no change with placebo. Conclusions In a cohort of predominantly women with overweight or obesity in the absence of diabetes, once‐daily subcutaneous liraglutide was associated with a reduction in thigh muscle fat and adverse muscle composition compared with placebo. The contribution of muscle fat improvement to the cardiometabolic benefits of liraglutide requires further study.

Background There is a paucity of data regarding the relationship between overall hospital volumes for total aortic valve replacement (AVR; transcatheter AVR [TAVR] or surgical AVR [SAVR]) and patient outcomes. Methods and Results We queried the 2019 Nationwide Readmission Database for patients undergoing AVR. Based on procedural volumes of TAVR or SAVR, we classified hospitals as high (≥50th percentile) or low (

Heart failure (HF) is a leading cause of hospitalization in older adults. Patients are at high risk of readmission and death following hospitalization for HF. There is no standard approach of health care delivery during the hospital-to-home transition period, leaving missed opportunities in care optimization. In this review, we discuss contemporary randomized clinical trials that tested decongestion strategies, disease-modifying therapies, and health care services that inform the care of patients with worsening HF. We provide evidence-informed recommendations for optimizing therapies and improving outcomes during and following hospitalization for HF. These include adequate decongestion with loop diuretics and select sequential nephron blockade strategies based on early evaluation of diuretic response; initiation of disease-modifying pharmacotherapies prior to hospital discharge with close follow-up and optimization after discharge; cardiac rehabilitation; and transitional or palliative care referral post-hospitalization. Evidence-based implementation strategies to facilitate broad uptake include digital health tools and algorithm-driven optimization of pharmacotherapies.

Background Exposure to fine particulate matter (

Background: Elevated interleukin (IL)-6 levels have been linked to adverse outcomes in patients with and without baseline cardiovascular disease (CVD). Objectives: The purpose of this study was to examine the association between circulating IL-6 levels and CVD events without baseline CVD across racial and ethnic groups. Methods: We conducted an observational analysis utilizing the MESA (Multi-Ethnic Study of Atherosclerosis), a multicenter, prospective community-based study of CVD at baseline from four racial and ethnic groups. IL-6 levels were measured at the time of enrollment (visit 1) and were divided into 3 terciles. Patient baseline characteristics and outcomes, including all-cause mortality, CV mortality, heart failure, and non-CV mortality, were included. Cox proportional hazard regression models were used to assess associations between IL-6 levels and study outcomes with IL-6 tercile 1 as reference. Results: Of 6,622 individuals, over half were women (53%) with a median age of 62 (IQR: 53-70) years. Racial and ethnic composition was non-Hispanic White (39%) followed by African American (27%), Hispanic (22%), and Chinese American (12%). Compared to tercile 1, participants with IL-6 tercile 3 had a higher adjusted risk of and all-cause mortality (HR: 1.98 [95% CI: 1.67-2.36]), CV mortality (HR: 1.55 [95% CI: 1.05-2.30]), non-CV mortality (HR: 2.05 [95% CI: 1.65-2.56]), and heart failure (HR: 1.48 [95% CI: 0.99-2.19]). When tested as a continuous variable, higher levels of IL-6 were associated with an increased risk of all individual outcomes. Compared to non-Hispanic White participants, the unadjusted and adjusted risk of all outcomes across all races and ethnicities was similar across all IL-6 terciles. Conclusions: High levels of circulating IL-6 are associated with worse CV outcomes and increased all-cause mortality consistently across all racial and ethnic groups.

Objective: Current guidelines for secondary prevention of atherosclerotic cardiovascular disease (ASCVD) recommend targeting a low-density lipoprotein cholesterol (LDL-C) of < 70 mg/dL. However, temporal trends and racial/ethnic- and sex-differences in achievement of LDL-C targets are not well described. We assessed trends and racial/ethnic- and sex-differences in achievement of LDL-C < 70 mg/dL using data from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2008 to 2017-March 2020. Methods: We combined NHANES cycles into 4 periods: 2005–2008, 2009–2012, 2013–2016, and 2017-March 2020 and included participants ≥ 40 years with self-reported ASCVD. We estimated LDL-C < 70 mg/dL prevalence over time and further stratified by sex and race/ethnicity. We used multivariable logistic regression adjusted for social determinants of health and clinical covariates to model LDL-C target attainment. Results: Among 1,826 NHANES participants representing 7,161,221 US adults with self-reported ASCVD (59.6% ≥ 65 years, 56.4% male, 74.8% White), LDL-C target attainment increased from 19.0% (95% CI, 15.3%-23.3%) in 2005–2008 to 26.3% (95% CI, 20.4%-33.1%) in 2017-March 2020 (P = 0.012 for trend). Achievement of LDL-C < 70 mg/dL significantly rose among men from19.5% (95% CI, 15.1%-24.8%) to 29.4% (95% CI, 20.7%-29.9%) without significant change in women (from 18.3% [95% CI, 13.6%-24.2%] to 22.5% [95% CI, 13.0%-35.9%]; P = 0.241 for trend). Improvement in LDL-C target attainment was similar among White, Black, and Hispanic individuals (∼5–7% increase) and was greatest among individuals of other (non-White, Hispanic, or Black) race/ethnicity (23.1% increase). In our multivariable analysis, comorbid diabetes and ages 65–75 and > 75 years were associated with LDL-C target attainment. Conclusion: LDL-C control modestly improved between 2005 and 2008 and 2017-March 2020; however, only ∼1/4 of individuals met guideline-directed LDL-C treatment targets by 2017-March 2020. Women had lower LDL-C control and lesser magnitude of improvement in LDL-C control than men, highlighting a need for targeted interventions to improve lipid-lowering therapy utilization in this population.

Objective: Glucagon-like peptide-1 receptor agonists (GLP1-RAs) and sodium-glucose cotransporter 2 inhibitors (SGLT2Is) lower adverse cardiac and kidney events among high-risk patients with diabetes mellitus (DM) and are now guideline-recommended as first-line therapy alongside metformin. However, the adoption of these new treatments from 2015 to 2020 among the highest-risk adults with DM remains unclear. Methods: We performed a cross-sectional analysis of the National Health and Nutrition Examination Surveys (NHANES) 2015–2020 to estimate the use of GLP1-RAs and SGLT2Is among adults with DM overall and by level of cardiovascular and kidney risk (CKR). We defined high CKR by history of atherosclerotic cardiovascular disease (ASCVD), chronic kidney disease (CKD), heart failure, or age ≥55 years with at least 2 ASCVD risk factors (i.e., obesity, hypertension, hyperlipidemia, or current smoker). Results: Overall, 2,432 participants with DM (mean age 60.6 years, 46.8 % female, 58.8 % Non-Hispanic White) were included, of which 1,869 and 563 were with and without high CKR, respectively. Participants with vs. without high CKR were more likely to be older, have higher systolic blood pressure, lower estimated glomerular filtration rate, use oral antidiabetic agents, and have health insurance. Overall, the weighted prevalence of GLP1-RA or SGLT2I was 9.0 % (95 % confidence interval [CI] 6.9–11.0): 4.8 % (95 % CI 3.6–6.1) took GLP1-RAs, and 5.1 % (95 % CI 3.3–7.0) took SGLT2Is. Use of GLP1-RAs or SGLT2Is did not differ between participants with vs. without high CKR (adjusted prevalence ratio [aPR] 1.00; 95 % CI 0.98–1.02). Participants with ASCVD were more likely to be on a GLP1-RA or SGLT2I (aPR 1.28; 95 % CI 1.25–1.31), while adults with CKD were less likely (aPR 0.84; 95 % CI 0.82–0.86). Conclusion: Among US adults with DM, GLP1-RA and SGLT2I use was low regardless of CKR. Data since 2020 analyzing the utilization of GLP1-RAs and SGLT2Is among high-CKR patients with DM is needed to identify implementation strategies for increased utilization.

Abstract At least half of all patients with heart failure (HF) are affected by frailty, a syndrome that limits an individual ability to recover from acute stressors. While frailty affects up to 90% of patients with HF with preserved ejection fraction, it is also seen in ~30–60% of patients with HF with reduced ejection fraction, with ~26% higher prevalence in women compared with men. The relationship between frailty and HF is bidirectional, with both conditions exacerbating the other. Frailty is further complicated by a higher prevalence of sarcopenia (by ~20%) in HF patients compared with patients without HF, which negatively affects outcomes. Several frailty assessment methods have been employed historically including the Fried frailty phenotype and Rockwood Clinical Frailty Scale to classify HF patients based on the severity of frailty; however, a validated HF‐specific frailty assessment tool does not currently exist. Frailty in HF is associated with a poor prognosis with a 1.5‐fold to 2‐fold higher risk of all‐cause death and hospitalizations compared to non‐frail patients. Frailty is also highly prevalent in patients with worsening HF, affecting >50% of patients hospitalized for HF. Such patients with multiple readmissions for decompensated HF have markedly poor outcomes compared to younger, non‐frail cohorts, and it is hypothesized that it may be due to major physical and functional limitations that limit recovery from an acute episode of worsening HF, a care aspect that has not been addressed in HF guidelines. Frail patients are thought to confer less benefit from therapeutic interventions due to an increased risk of perceived harm, resulting in lower adherence to HF interventions, which may worsen outcomes. Multiple studies report that

Abstract Aims Heart failure with reduced ejection fraction (HFrEF) is treatable but guideline‐directed medical therapy (GDMT) may not be affordable or accessible to people living with the disease. Methods and results In this cross‐sectional survey, we investigated the price, affordability, and accessibility of four pivotal classes of HFrEF GDMT: angiotensin‐converting enzyme inhibitors (ACEi), angiotensin receptor blockers (ARB) or angiotensin‐neprilysin inhibitors (ARNI); beta‐blockers; mineralocorticoid receptor antagonists (MRA); and sodium glucose co‐transporter 2 inhibitors (SGLT2i). We sampled online or community pharmacies in 10 countries across a range of World Bank income groups, assessing mean 30 day retail prescription prices, affordability relative to gross national income per capita per month, and accessibility. We reported median price ratios relative to the International Reference Standard. We performed a literature review to evaluate accessibility to GDMT classes through publicly funded drug programmes in each country. HFrEF GDMT prices, both absolute and relative to the international reference, were highest in the United States and lowest in Pakistan and Bangladesh. The most expensive drug was the ARNI, sacubitril/valsartan, with a mean (standard deviation, SD) 30 day price ranging from $11.06 (0.81) in Pakistan to $611.50 (3.54) in United States. The least expensive drug was the MRA, spironolactone, with a mean (SD) 30 day price ranging from $0.18 (0.00) in Pakistan to $12.32 (0.00) in England. Affordability (SD) of quadruple therapy—ARNI, beta‐blockers, MRA, and SGLT2i—was best in high‐income and worst in low‐income countries, ranging from 1.49 (0.00)% of gross national income per capita per month in England to 232.47 (31.47)% in Uganda. Publicly funded drug programmes offset costs for eligible patients, but ARNI and SGLT2i were inaccessible through these programmes in low‐ and middle‐income countries. Price, affordability, and access were substantially improved in all countries by substituting ARNI for ACEi/ARB. Conclusions There was marked variation between countries in the retail price of HFrEF GDMT. Despite higher prices in high‐income countries, GDMT was more accessible and affordable than in low‐ and middle‐income countries. Publicly funded drug programmes in lower income countries increased affordability but limited access to newer HFrEF GDMT classes. Pharmaco‐disparities must be addressed to improve HFrEF outcomes globally.

Background: Hepatocyte growth factor (HGF) is a cytokine linked to incident heart failure (HF), particularly HF with preserved ejection fraction (HFpEF). Increases in left ventricular (LV) mass and concentric remodelling defined by increasing mass-to-volume (M:V) ratios are imaging risk markers for HFpEF. We aimed to determine if HGF is associated with adverse LV remodelling. Methods: We studied 4907 participants in the Multi-Ethnic Study of Atherosclerosis (MESA), free of cardiovascular disease and HF at baseline, who had HGF measured and cardiac magnetic resonance imaging (CMR) performed at baseline. Of these, 2921 completed a second CMR at 10 years. We examined the cross-sectional and longitudinal associations of HGF and LV structural parameters using multivariable-adjusted linear mixed-effect models, adjusting for cardiovascular disease risk factors and N-terminal pro B-type natriuretic peptide. Results: The mean (SD) for age was 62 (10) years; 52% were female. Median (interquartile range) for HGF level was 890 pg/mL (745-1070). At baseline, the highest HGF tertile, compared to the lowest, was associated with a greater M:V ratio (relative difference 1.94 [95% confidence interval [CI]: 0.72, 3.17]) and lower LV end-diastolic volume (–2.07 mL [95% CI: –3.72, –0.42)]. In longitudinal analysis, the highest HGF tertile was associated with increasing M:V ratio (10-year difference: 4.68 [95% CI: 2.64, 6.72]) and decreasing LV end-diastolic volume (–4.74 [95% CI: –6.87, –2.62]). Conclusions: In a community-based cohort, higher HGF levels were independently associated with a concentric LV remodelling pattern of increasing M:V ratio and decreasing LV end-diastolic volume by CMR over 10 years. These associations may reflect an intermediate phenotype explaining the association of HGF with HFpEF risk. Résumé: Contexte: Le facteur de croissance des hépatocytes (hepatocyte growth factor; HGF) est une cytokine associée à l’insuffisance cardiaque (IC), particulièrement l’IC avec fraction d’éjection préservée (ICFEP). Une augmentation de la masse du ventricule gauche (VG) et un remodelage concentrique du VG, défini par une augmentation du ratio masse/volume (M:V), sont des marqueurs de risque d’ICFEP à l’examen d’imagerie. Nous souhaitions déterminer si le taux de HGF est associé à un remodelage préjudiciable du VG. Méthodologie: Nous avons étudié 4 907 participants à l’étude multiethnique sur l’athérosclérose (Multi-Ethnic Study of Atherosclerosis; MESA) qui, au départ, ne présentaient pas de maladie cardiovasculaire ni d’IC et pour qui le taux de HGF avait été mesuré et une imagerie cardiaque par résonance magnétique (IRMc) avait été réalisée. Parmi ces personnes, 2 921 ont subi une seconde IRMc à 10 ans. Nous avons examiné les associations intersectionnelles et longitudinales entre le taux de HGF et les paramètres structurels du VG à l’aide de modèles linéaires à effets mixtes multivariés, ajustés pour les facteurs de risque de maladie cardiovasculaire et les propeptides natriurétiques de type B N-terminal. Résultats: L’âge moyen des participants était de 62 ans (écart type : 10), et 52 % étaient des femmes. Le taux de HGF médian était de 890 pg/ml (écart interquartile : 745 à 1070). Au départ, comparativement au tertile inférieur du taux de HGF, le tertile supérieur était associé à un ratio M:V plus important (différence relative : 1,94; intervalle de confiance [IC] à 95 % : 0,72 à 3,17) et à un volume diastolique final du VG plus faible (-2,07 ml; IC à 95 % : -3,72 à -0,42). À l’analyse longitudinale, le tertile supérieur du taux de HGF était associé à un ratio M:V plus élevé (différence sur 10 ans : 4,68; IC à 95 % : 2,64 à 6,72) et à une réduction du volume diastolique final du VG (-4,74; IC à 95 % : -6,87 à -2,62). Conclusions: Dans une cohorte représentative de la population, un taux de HGF plus élevé était associé de manière indépendante à un schéma de remodelage concentrique du VG présentant une augmentation du ratio M:V et à une diminution du volume diastolique final du VG à l’IRMc sur 10 ans. Ces associations pourraient être représentatives d’un phénotype intermédiaire expliquant l’association entre le taux de HGF et le risque d’ICFEP.

Background High‐density lipoprotein (HDL) particle concentration likely outperforms HDL cholesterol in predicting atherosclerotic cardiovascular events. Whether size‐based HDL subspecies explain the atheroprotective associations of HDL particle concentration remains unknown. Our objective was to assess whether levels of specific size‐based HDL subspecies associate with atherosclerotic cardiovascular disease in a multiethnic pooled cohort and improve risk prediction beyond traditional atherosclerotic cardiovascular disease risk factors. Methods and Results Seven HDL size‐based subspecies were quantified by nuclear magnetic resonance (LP4 algorithm; H1=smallest; H7=largest) among participants without prior atherosclerotic cardiovascular disease in ARIC (Atherosclerosis Risk in Communities), MESA (Multi‐Ethnic Study of Atherosclerosis), PREVEND (Prevention of Renal and Vascular Endstage Disease), and DHS (Dallas Heart Study) cohorts (n=15 371 people). Multivariable Cox proportional hazards models were used to evaluate the association between HDL subspecies and incident myocardial infarction (MI) or ischemic stroke at follow‐up (average 8–10 years) adjusting for HDL cholesterol and risk factors. Improvement in risk prediction was assessed via discrimination and reclassification analysis. Within the pooled cohort (median age 57 years; female 54%; Black 22%) higher H1 (small) and H4 (medium) concentrations were inversely associated with incident MI (hazard ratio [HR]/SD, H1 0.88 [95% CI, 0.81–0.94]; H4 0.89 [95% CI, 0.82–0.97]). H4 but not H1 improved risk prediction indices for incident MI. Increasing H2 and H4 were inversely associated with improved risk prediction indices for composite end point of stroke, MI, and cardiovascular death (HR/SD, H2 0.94 [95% CI, 0.88–0.99]; H4 0.91 [95% CI, 0.85–0.98]). Levels of the large subspecies (H6 and H7) were not associated with any vascular end point. Conclusions Two of 7 HDL size‐based subspecies modestly improved risk prediction for MI and composite vascular end points in a large multiethnic pooled cohort. These findings support assessment of precise HDL subspecies for future studies regarding clinical utility.

Therapeutic Area: Heart Failure Background: The association of social determinants of health (SDOH) and heart failure (HF) outcomes is well-established. However, most HF SDOH measures are obtained in the ambulatory setting, and the distribution of SDOH among hospitalized patients for HF is poorly understood. Methods: We conducted a prospective, cross-sectional study to identify the prevalence of SDOH among patients hospitalized with HF at Parkland Memorial Hospital (PMH), Dallas's safety-net hospital. English- or Spanish-speaking patients hospitalized for HF were eligible to participate. We excluded patients in police custody or jail. Using a panel of validated surveys, we collected data across the following 10 SDOH domains: housing instability, financial health, food security, cost-related nonadherence, transportation barriers, social support, interpersonal violence, discrimination, health literacy, and health numeracy. We extracted clinical data including substance use and left ventricular ejection fraction (LVEF). We used summary statistics to calculate the overall prevalence of SDOH burden. We compared SDOH between race/ethnic subgroups using chi-square tests and t-tests. Results: 118 individuals were included (Mean age 53, 75.4% male, 15.3% Non-Hispanic White (NHW), 61.9% Non-Hispanic Black (NHB), 20.3% Hispanic, 2.5% Other). The average LVEF was 30%. The mean number of positive SDOH domains was 5.0. Seven in eight participants reported at least 3 positive SDOH domains. The median income was $13,200 and 63.1% of participants were below 130% of the federal poverty limit. The most prevalent SDOH included discrimination (87.3%), poor financial health (78.0%), and transportation barriers (67.8%). Over half of patients reported at least some food insecurity. 47.5% had at least one form of substance use disorder. When stratified by race/ethnicity, there were differences in being married (16.7% NHW, 17.8% NHB, 45.8% Hispanic, 0% Other, p=0.02), having access to a vehicle (66.7% NHW, 46.6% NHB, 79.2% Hispanic, 66.7% Other, p=0.03), and having savings (11.1% NHW, 9.6% NHB, 16.7% Hispanic, 66.7% Other, p=0.03). Conclusions: In this single-center, prospective study, we demonstrate substantial overall SDOH burden in low-income patients hospitalized with HF. Future studies will evaluate how HF outcomes are affected by targeting modifiable, highly prevalent SDOH.

Therapeutic Area: ASCVD/CVD Risk Assessment Background: Low socioeconomic status (SES) is associated with atherosclerotic cardiovascular disease (ASCVD) and possible underestimation of risk by pooled cohort equations (PCE). Whether coronary artery calcium (CAC) scores can improve risk discrimination in low SES populations is unknown. Methods: Multi-Ethnic Study of Atherosclerosis (MESA) and Dallas Heart Study (DHS) participants free of ASCVD and with CAC scans were evaluated. Low SES was defined as annual household income $30,000) or educational attainment HS). The relationships between SES, CAC scores (0, 1-99, ≥100), and ASCVD events (fatal/non-fatal MI or stroke) were assessed before/after ASCVD risk factor adjustment (Table). The incremental predictive value of CAC across SES groups was assessed using c-statistics and categorical net reclassification improvement (NRI) ($30K comprised 19.1%, 18.4%, and 62.5%, and 18.2%, 22.4%, and 59.4% of the study populations, respectively. Individuals with low SES by income ($30K) [HRadj 1.38 (95% CI 1.14-1.54) MESA; HRadj 2.52 (1.65-3.85) DHS]. Higher CAC scores were associated with greater 10-year ASCVD risk in each SES category, but the low SES group had the greatest ASCVD risk with CAC=0 (4.9% MESA; 4.3% DHS). CAC scores were independently associated with ASCVD risk among low SES individuals in MESA but not in DHS [CAC>0 vs. 0 HRadj 2.38 (1.64-3.45) MESA; HRadj 1.09 (0.43-2.76) DHS]. Overall, the discriminative ability of CAC for ASCVD was smallest in low SES individuals (c-statistics 0.643 vs. 0.685, 0.711 MESA; 0.680 vs. 0.790, 0.806 DHS) (Table). The addition of CAC to PCE for low SES individuals yielded the smallest incremental improvement in c-statistic and NRI. Defining SES by education yielded similar results. Conclusions: Individuals with low SES have significantly higher ASCVD risk. CAC scores may predict this risk, but have lower ASCVD risk discrimination in this group, and CAC=0 provides less reassurance compared to those at higher SES. These results can assist in determining applications of CAC scanning in those with low SES.

Objective: To understand the burden of healthcare expenses over the lifetime of individuals and evaluate differences among those with cardiovascular risk factors and among disadvantaged groups based on race/ethnicity and sex. Methods: We linked data from the longitudinal multiethnic Dallas Heart Study, which recruited participants between 2000 and 2002, with inpatient and outpatient claims from all hospitals in the Dallas-Fort Worth metroplex through December 2018, capturing encounter expenses. Race/ethnicity and sex, as well as five risk factors, hypertension, diabetes, hyperlipidemia, smoking, and overweight/obesity, were defined at cohort enrollment. For each individual, expenses were indexed to age and cumulated between 40 and 80 years of age. Lifetime expenses across exposures were evaluated as interactions in generalized additive models. Results: A total of 2184 individuals (mean age, 45±10 years; 61% women, 53% Black) were followed between 2000 and 2018. The mean modeled lifetime cumulative healthcare expenses were $442,629 (IQR, $423,850 to $461,408). In models that included 5 risk factors, Black individuals had $21,306 higher lifetime healthcare spending compared with non-Black individuals (P

Abstract Background Among individuals with atherosclerotic cardiovascular disease (ASCVD), type 2 diabetes mellitus (T2DM) is common and confers increased risk for morbidity and mortality. Differentiating risk is key to optimize efficiency of treatment selection. Our objective was to develop and validate a model to predict risk of major adverse cardiovascular events (MACE) comprising the first event of cardiovascular death, myocardial infarction (MI), or stroke for individuals with both T2DM and ASCVD. Methods Using data from the Trial Evaluating Cardiovascular Outcomes with Sitagliptin (TECOS), we used Cox proportional hazards models to predict MACE among participants with T2DM and ASCVD. All baseline covariates collected in the trial were considered for inclusion, although some were excluded immediately because of large missingness or collinearity. A full model was developed using stepwise selection in each of 25 imputed datasets, and comprised candidate variables selected in 20 of the 25 datasets. A parsimonious model with a maximum of 10 degrees of freedom was created using Cox models with least absolute shrinkage and selection operator (LASSO), where the adjusted R-square was used as criterion for selection. The model was then externally validated among a cohort of participants with similar criteria in the ACCORD (Action to Control Cardiovascular Risk in Diabetes) trial. Discrimination of both models was assessed using Harrell’s C-index and model calibration by the Greenwood-Nam-D’Agostino statistic based on 4-year event rates. Results Overall, 1491 (10.2%) of 14,671 participants in TECOS and 130 (9.3%) in the ACCORD validation cohort (n = 1404) had MACE over 3 years’ median follow-up. The final model included 9 characteristics (prior stroke, age, chronic kidney disease, prior MI, sex, heart failure, insulin use, atrial fibrillation, and microvascular complications). The model had moderate discrimination in both the internal and external validation samples (C-index = 0.65 and 0.61, respectively). The model was well calibrated across the risk spectrum—from a cumulative MACE rate of 6% at 4 years in the lowest risk quintile to 26% in the highest risk quintile. Conclusion Among patients with T2DM and prevalent ASCVD, this 9-factor risk model can quantify the risk of future ASCVD complications and inform decision making for treatments and intensity.

Background Diabetes and hypertension have been associated with adverse left ventricular (LV) remodeling. While they often occur concurrently, their individual effects are understudied. We aimed to assess the independent effects of diabetes and hypertension on LV remodeling in Black adults. Methods and Results The JHS (Jackson Heart Study) participants (n=4143 Black adults) with echocardiographic measures from baseline exam were stratified into 4 groups: neither diabetes nor hypertension (n=1643), only diabetes (n=152), only hypertension (n=1669), or both diabetes and hypertension (n=679). Echocardiographic measures of LV structure and function among these groups were evaluated by multivariable regression adjusting for covariates. Mean age of the participants was 52±1 years, and 63.7% were women. LV mass index was not different in participants with only diabetes compared with participants with neither diabetes nor hypertension (P=0.8). LV mass index was 7.9% (6.0 g/m2) higher in participants with only hypertension and 10.8% (8.1 g/m2) higher in participants with both diabetes and hypertension compared with those with neither (P0.05). However, participants with both diabetes and hypertension demonstrated higher LV wall thickness and brain natriuretic peptide levels than participants with neither (P

Objective: This study assessed cardiovascular health (CVH) in young adults using the 2022 AHA Life's Essential 8 (LE8) score and compared it with the Life's Simple 7 (LS7) score. Methods: Individuals aged 18 to 44 years without a history of cardiovascular disease in the National Health and Nutrition Examination Survey (NHANES) cycles were included. Data from 2007-2008 to 2017-2018 were combined to create 3 groups (2007-2010, 2011-2014, and 2015-2018) for analysis. The LE8 score and its components were computed in the overall population and stratified by sex and race/ethnicity. Trends for the LE8 score were analyzed using adjusted linear regression models. Results: Among 12,197 young adults, representing an estimated 89.4 million individuals, from the NHANES 2007-2018, the CVH in the overall population and across all subgroups was stable (Ptrend >0.05). The blood lipid score improved across all subgroups (Ptrend:

Abstract Aims The effects of inhibition of sodium glucose cotransporter (SGLT)‐1, as opposed to SGLT2, on cardiovascular structure and function are not well known. We assessed the associations of a missense genetic variant of SGLT1 with cardiac structure and function. Methods and results We evaluated associations of a functionally modifying variant of SLC5A1 (rs17683011 [p.Asn51Ser]), the gene that encodes SGLT1, with cardiac structure and function on echocardiography among middle‐aged adults in the Coronary Artery Risk Development in Young Adults Study. Of 1904 participants (55.3 ± 3.5 years, 57% female, 34% Black), 166 (13%) White participants and 18 (3%) Black participants had at least one copy of rs17683011. There were no significant differences in age, sex, body mass index, glucose, or diabetes status by the presence of the rs17683011 variant. In Black participants, the presence of at least one copy of the rs17683011 variant was significantly associated with better GLS compared with those without a copy of the variant after covariate adjustment (−15.8 ± 0.7% vs. −14.0 ± 0.1%, P = 0.02). Although the direction of effect was consistent, the association between the presence of at least one copy of rs17683011 and GLS was not statistically significant in White participants (−15.1 ± 0.2% vs. −14.8 ± 0.1%, P = 0.16). There were no significant associations between rs17683011 and other measures of LV structure, systolic function, or diastolic function. Conclusions The rs17683011 variant, a functionally modifying variant of the SGLT1 gene, was associated with higher GLS among middle‐age adults. These exploratory findings require further validation and suggest that SGLT1 inhibition may have beneficial effects upon LV systolic function.

Abstract Aims Hospitalization for heart failure (HF) constitutes a major healthcare and economic burden. Trends and characteristics of hospitalizations for HF for the recent years are not clear. We sought to determine the trends and characteristics of hospitalization for HF in the United States. Method and results A retrospective analysis of the National Inpatient Sample weighted data between 1 January 2004 and 31 December 2018, which included hospitalized adults ≥ 18 years with primary discharge diagnosis of HF using International Classification of Diseases‐9/10 administrative codes. Main outcomes were trends in hospitalizations for HF (per 1000 person) and inpatient mortality (%) between 2004 and 2018. Conclusions Hospitalizations for HF have been increasing across both sexes and age groups since 2013, whereas inpatient mortality has been decreasing over the study period. Blacks have the highest risk of hospitalization for HF, and Whites have the highest in‐hospital mortality. There are significant racial and geographic disparities related to hospitalizations for HF.

The prescription of exercise for individuals with and without cardiovascular disease (CVD) should be scientifically-based yet adapted to the patient. This scientific statement reviews the clinical and physiologic basis for the prescription of exercise, with specific reference to the volume of physical activity (PA) and level of cardiorespiratory fitness (CRF) that confer significant and optimal cardioprotective benefits. Recommendations are provided regarding the appropriate intensity, frequency, and duration of training; the concept of MET-minutes per week; critical components of the exercise session (warm-up, conditioning phase, cool-down); methodologies for establishing the training intensity, including oxygen uptake reserve (V̇O2R), target heart rate derivation and rating perceived exertion; minimum and goal intensities for exercise training; and, types of training activities, including resistance training, adjunctive lifestyle PA, marathon/triathlon training, and high-intensity interval training. In addition, we discuss the rationale for and value of exercise training programs for patients with peripheral artery disease, diabetes mellitus, and heart failure.

Regular moderate-to-vigorous physical activity (PA) and increased levels of cardiorespiratory fitness (CRF) or aerobic capacity are widely promoted as cardioprotective measures in the primary and secondary prevention of atherosclerotic cardiovascular (CV) disease (CVD). Nevertheless, physical inactivity and sedentary behaviors remain a worldwide concern. The continuing coronavirus (COVID-19) pandemic has been especially devastating to patients with known or occult CVD since sitting time and recreational PA have been reported to increase and decrease by 28% and 33%, respectively. Herein, in this first of a 2-part series, we discuss foundational factors in exercise programming, with specific reference to energy metabolism, contemporary PA recommendations, the dose-response relationship of exercise as medicine, the benefits of regular exercise training, including the exercise preconditioning cardioprotective phenotype, as well as the CV risks of PA. Finally, we discuss the ‘extreme exercise hypothesis,’ specifically the potential maladaptations resulting from high-volume, high-intensity training programs, including accelerated coronary artery calcification and incident atrial fibrillation. The latter is commonly depicted by a reverse J-shaped or U-shaped curve. On the other hand, longevity data argue against this relationship, as elite endurance athletes live 3–6 years longer than the general population.

Abstract Introduction Texas Health Resources (THR), a large, nonprofit health care system based in the Dallas‐Fort Worth area, has collaborated with the University of Texas Southwestern Medical Center (UTSW) to develop and operate a unique, integrated approach for Learning Health System (LHS) workforce development. This training model centers on academic health system faculty members conducting later‐stage translational research within a partnering regional care delivery organization. Methods The THR Clinical Scholars Program engages early career UTSW faculty members to conduct studies that are likely to have an impact on care delivery at the health system level. Interested candidates submit formal applications to the program. A joint committee comprised of senior research faculty from UTSW and THR clinical leadership reviews proposals with a focus on the shared LHS needs of both institutions—developing high quality research output that can be applied to enhance care delivery. A key prioritization criterion for funding is the degree to which the research addresses a question relevant to THR as a high‐volume network with multiple channels for consumers to access care. The program emphasis is on supporting embedded research initiatives using health system data to generate knowledge that will improve the quality and efficiency of care for the patient populations served by the participant organizations. Results We discuss specific strategic and tactical components of the THR Clinical Scholars Program including an overview of the academic affiliation agreement between the collaborating organizations, criteria for successful program applications, data sharing, and funding. We also share project summaries from selected clinical scholars as examples of the LHS research done in the program to date. Conclusion This experience report provides an implementation framework for other academic health systems interested in adopting similar LHS workforce training models with community partners.

Abstract Background Low cardiorespiratory fitness (CRF), high body mass index, and excess visceral adiposity are each associated with impairment in left ventricular (LV) peak circumferential strain (Ecc), an intermediate phenotype that precedes the development of clinical heart failure (HF). However, the association of regional fat distribution and CRF with Ecc independent of each other and other potential confounders is not known. Methods Participants from the Dallas Heart Study Phase 2 who underwent dual energy X-ray absorptiometry assessment of regional fat distribution, CRF assessment by submaximal treadmill test, and Ecc quantification by tissue-tagged cardiovascular magnetic resonance were included in the analysis. The cross-sectional associations of measures of regional adiposity, namely visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), and lower-body fat (LBF) with Ecc after adjustment for CRF and other potential confounders (independent variables) were assessed using multivariable linear regression analysis. Results The study included 1089 participants (55% female, 39% black). In the unadjusted analysis, higher VAT was associated with greater impairment in Ecc. After adjustment for baseline risk factors, CRF, parameters of LV structure and function, and other fat depots such as SAT and LBF, higher VAT remained associated with greater impairment in Ecc (β: 0.19, P = 0.002). SAT and LBF were not significantly associated with Ecc, however, CRF remained associated with Ecc in the fully adjusted model including all fat depots (β: − 0.15, P

Abstract Aims We sought to compare the generalizability and prognostic implications of heart failure with preserved ejection fraction (HFpEF) scores (HFA‐PEFF and H2FPEF score) in Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist (TOPCAT) and Phosphodiesterase‐5 Inhibition to Improve Clinical Status and Exercise Capacity in Heart Failure with Preserved Ejection Fraction (RELAX) trial participants and matched controls from the Atherosclerosis Risk in Community (ARIC) study. Methods and results Based on the respective scores, the study participants from the TOPCAT (N = 356), RELAX (N = 216), and ARIC (N = 379) studies were categorized as having a low, intermediate, or high likelihood of HFpEF. Age, sex, and race matched controls free of cardiovascular disease who had unexplained dyspnoea were used to evaluate the diagnostic performance. The prognostic value of scores was assessed using multivariable‐adjusted Cox regression analyses. The median HFA‐PEFF scores in the TOPCAT, RELAX, and ARIC studies were 5.0 [interquartile range (IQR): 5.0–6.0], 4.0 (IQR: 2.0–4.0), and 3.0 (IQR: 2.0–4.0), respectively. The median H2FPEF scores in the three studies were 5.5 (IQR: 4.0–7.0), 6.0 (IQR: 4.0–7.0), and 3.0 (IQR: 2.0–5.0), respectively. A low HFA‐PEFF and H2FPEF score can rule out HFpEF with high sensitivity (99.5% and 99.6%, respectively) and negative predictive value (95.7% and 98.3%, respectively). A high HFA‐PEFF and H2FPEF score can rule‐in HFpEF with good specificity (82.8% and 95.6%, respectively) and positive predictive value (79.9% and 90.4%, respectively). Among TOPCAT participants, the hazard for adverse cardiovascular events per point increase in HFA‐PEFF and H2FPEF score was 1.26 (95% confidence interval: 0.98–1.63) and 1.01 (95% confidence interval: 0.88–1.15), respectively. A higher H2FPEF score was associated with lower peak oxygen intake in RELAX trial participants (adjusted P = 0.01). Conclusions The HFA‐PEFF and the H2FPEF scores are reliable diagnostic tools for HFpEF. The prognostic utility of HFpEF scores requires further validation in larger rigorously phenotyped populations.

Background: Dysglycemia is a major and increasingly prevalent cardiometabolic risk factor worldwide, but is often undiagnosed even in high-risk patients. We evaluated the impact of protocolized screening for dysglycemia on the prevalence of prediabetes and diabetes among patients presenting with ST-segment elevation myocardial infarction (STEMI) in North India. Methods: We conducted a prospective NORIN STEMI registry-based study of patients presenting with STEMI to two government-funded tertiary care medical centers in New Delhi, India, from January to November 2019. Hemoglobin A1c (HbA1c) was collected at presentation as part of the study protocol, irrespective of baseline glycemic status. Results: Among 3,523 participants (median age 55 years), 855 (24%) had known diabetes. In this group, baseline treatment with statins, sodium-glucose cotransporter 2 inhibitors, or glucagon-like peptide-1 receptor agonists was observed in 14%,

Background The WATCH‐DM (weight [body mass index], age, hypertension, creatinine, high‐density lipoprotein cholesterol, diabetes control [fasting plasma glucose], ECG QRS duration, myocardial infarction, and coronary artery bypass grafting) and TRS‐HFDM (Thrombolysis in Myocardial Infarction [TIMI] risk score for heart failure in diabetes) risk scores were developed to predict risk of heart failure (HF) among individuals with type 2 diabetes. WATCH‐DM was developed to predict incident HF, whereas TRS‐HFDM predicts HF hospitalization among patients with and without a prior HF history. We evaluated the model performance of both scores to predict incident HF events among patients with type 2 diabetes and no history of HF hospitalization across different cohorts and clinical settings with varying baseline risk. Methods and Results Incident HF risk was estimated by the integer‐based WATCH‐DM and TRS‐HFDM scores in participants with type 2 diabetes free of baseline HF from 2 randomized clinical trials (TECOS [Trial Evaluating Cardiovascular Outcomes With Sitagliptin], N=12 028; and Look AHEAD [Look Action for Health in Diabetes] trial, N=4867). The integer‐based WATCH‐DM score was also validated in electronic health record data from a single large health care system (N=7475). Model discrimination was assessed by the Harrell concordance index and calibration by the Greenwood‐Nam‐D’Agostino statistic. HF incidence rate was 7.5, 3.9, and 4.1 per 1000 person‐years in the TECOS, Look AHEAD trial, and electronic health record cohorts, respectively. Integer‐based WATCH‐DM and TRS‐HFDM scores had similar discrimination and calibration for predicting 5‐year HF risk in the Look AHEAD trial cohort (concordance indexes=0.70; Greenwood‐Nam‐D’Agostino P>0.30 for both). Both scores had lower discrimination and underpredicted HF risk in the TECOS cohort (concordance indexes=0.65 and 0.66, respectively; Greenwood‐Nam‐D’Agostino P

Abstract Aims Non‐alcoholic fatty liver disease leads to progressive liver fibrosis and appears to be a frequent co‐morbid disease in heart failure with preserved ejection fraction (HFpEF). It is well known that liver fibrosis severity predicts future liver‐related morbidity and mortality, but its impact on outcomes in patients with HFpEF remains unknown. This analysis aimed to describe the prevalence of liver fibrosis, as assessed using surrogate biomarkers, in patients with HFpEF and the association of such biomarkers in predicting clinical outcomes in these patients. Methods and results Patients with HFpEF from TOPCAT Americas were included in the analysis. The non‐alcoholic fatty liver disease fibrosis score (NFS) and fibrosis‐4 (FIB‐4) scores were calculated using a combination of clinical characteristics and laboratory parameters. Risk of advanced fibrosis was classified as low, intermediate, and high. For the 1423 with sufficient data, we used Cox regression analysis to test the association between the risk of fibrosis severity and the combined primary endpoint of all cardiovascular death, aborted cardiac arrest, and hospitalization for heart failure. Advanced fibrosis, as determined by high fibrosis scores, was present in 37.57% by the NFS and 8.02% by the FIB‐4. Higher risk of advanced hepatic fibrosis was associated with older age. In unadjusted models, the risk of advanced fibrosis was associated with the primary cardiovascular outcome [NFS high vs. low, hazard ratio (HR) 1.709 (95% confidence interval, CI 1.238–2.358, P = 0.0011) and FIB‐4 high vs. low, HR 1.561 (95% CI 1.139–2.140, P = 0.0056)]. After multivariable adjustment, this association was diminished [NFS high vs. low, HR 1.349 (95% CI 0.938–1.939, P = 0.1064) and FIB‐4 high vs. low, HR 1.415 (95% CI 0.995–2.010, P = 0.0531)]. Conclusions Our study suggests that advanced liver fibrosis, as estimated by fibrosis risk scores, may not be uncommon in patients with HFpEF, and there appears to be a limited independent association between liver fibrosis risk scores and clinical outcomes related to heart failure events.

Abstract Aims Patients with obesity and ischaemic heart failure may counter‐intuitively have better outcomes compared with patients with normal body weight due to an ‘obesity paradox’. This study sought to determine if body mass index (BMI) impacts the treatment effects or safety outcomes of the treatment of ischaemic heart failure with coronary artery bypass grafting (CABG). Methods and results We obtained and reviewed the Surgical Treatment of Ischaemic Heart Failure (STICHES) data for 1212 patients. We categorized obesity by the World Health Organization (WHO) classes to define baseline characteristics and test for treatment interactions for the primary and secondary STICHES outcomes by treatment groups. While CABG decreased the risk of death, there was no evidence of treatment interaction by BMI per 5 kg/m2 (P = 0.83) or WHO obesity class. For the overall cohort, there was no interaction by WHO obesity class for the cumulative incidence of death in either the medical therapy or CABG plus medical therapy (P‐interaction = 0.90). There was a non‐significant trend for higher BMI and a lower risk of death [hazard ratio 0.92, 95% confidence interval (CI) 0.85–1.00, P = 0.051]. Increasing body size (per 5 kg/m2) was associated with return to the operating room (odds ratio 2.48, 95% CI 1.45–4.26, P

Background Nonalcoholic fatty liver disease (NAFLD) and heart failure (HF) are increasing in prevalence. The independent association between NAFLD and downstream risk of HF and HF subtypes (HF with preserved ejection fraction and HF with reduced ejection fraction) is not well established. Methods and Results This was a retrospective, cohort study among Medicare beneficiaries. We selected Medicare beneficiaries without known prior diagnosis of HF. NAFLD was defined using presence of 1 inpatient or 2 outpatient claims using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD‐9‐CM), claims codes. Incident HF was defined using at least 1 inpatient or at least 2 outpatient HF claims during the follow‐up period (October 2015–December 2016). Among 870 535 Medicare patients, 3.2% (N=27 919) had a clinical diagnosis of NAFLD. Patients with NAFLD were more commonly women, were less commonly Black patients, and had a higher burden of comorbidities, such as diabetes, obesity, and kidney disease. Over a mean 14.3 months of follow‐up, patients with (versus without) baseline NAFLD had a significantly higher risk of new‐onset HF in unadjusted (6.4% versus 5.0%; P

Background Patient‐reported outcomes may be discordant to severity of illness as assessed by objective parameters. The frequency of this discordance and its influence on clinical outcomes in patients with heart failure is unknown. Methods and Results In HF‐ACTION (Heart Failure: A Controlled Trial Investigating Outcomes of Exercise Training), participants (N=2062) had baseline assessment of health‐related quality of life via the Kansas City Cardiomyopathy Clinical Summary score (KCCQ‐CS) and objective severity by cardiopulmonary stress testing (minute ventilation [VE]/carbon dioxide production [VCO2] slope). We defined 4 groups by median values: 2 concordant (lower severity: high KCCQ‐CS and low VE/VCO2 slope; higher severity: low KCCQ‐CS and high VE/VCO2 slope) and 2 discordant (symptom minimizer: high KCCQ‐CS and high VE/VCO2 slope; symptom magnifier: low KCCQ‐CS and low VE/VCO2 slope). The association of group assignment with mortality was assessed in adjusted Cox models. Symptom magnification (23%) and symptom minimization (23%) were common. Despite comparable KCCQ‐CS scores, the risk of all‐cause mortality in symptom minimizers versus concordant–lower severity participants was increased significantly (hazard ratio [HR], 1.79; 95% CI, 1.27–2.50; P

Background: The U.S. Centers for Disease Control and Prevention (CDC) recognizes that older adults and individuals with certain medical conditions are at increased risk of severe COVID-19 infection. Understanding the proportion of the population at risk of severe infection, including among those with heart disease, could assist current vaccine strategy efforts. Methods: Using data from the 2015-2018 National Health and Nutrition Examination Survey (NHANES), we estimated the weighted prevalence of any of eight of eleven increased-risk conditions (including age ≥65) in U.S. adults aged ≥18 (N = 10,581) and extrapolated these results to a population of 233.8 million U.S. adults ≥18, and subgroups from the overall population defined by race/ethnicity, education, income and history of heart disease. Results: An estimated 176.1 million individuals representing 75.4% of U.S. adults had at least one increased-risk condition, 40.3% ≥2 and, 18.5% ≥3 conditions. Approximately 129 million adults aged 0.05) and Hispanics in the younger population (70.8 vs 68.4%) were estimated to be at increased-risk. Conversely, a greater proportion of individuals with lower education and income levels were estimated to be at increased-risk both in the overall and younger population. In addition, an estimated 6.2 million individuals (14.5%) had heart disease. Among these, virtually all had at least one additional CDC risk factor (97.9%) and most had ≥2 or ≥3 risk factors (83.8% and 58.5%, respectively). Conclusions: As vaccination strategies are being explored, these results demonstrate that >75% of adults in the U.S. would be considered at increased-risk for severe COVID-19 infection by CDC criteria. Risk factor prevalence alone may not adequately capture the totality of risk, particularly among Black and Hispanic racial/ethnic groups and those with heart disease.

Untreated hypertension may contribute to increased atherosclerotic cardiovascular disease (ASCVD) risk in South Asians (SA). We assessed HTN prevalence among untreated adults free of baseline ASCVD from the MASALA & MESA studies. The proportion of participants who received discordant recommendations regarding antihypertensive pharmacotherapy use by the 2017-ACC/AHA and JNC7 Guidelines across CAC score categories in each race/ethnic group was calculated. Compared with untreated MESA participants (n = 3896), untreated SA (n = 445) were younger (55±8 versus 59±10 years), had higher DBP (73±10 versus 70±10 mmHg), total cholesterol (199±34 versus 196±34 mg/dL), statin use (16% versus 9%) and CAC=0 prevalence (69% versus 58%), with fewer current smokers (3% versus 15%) and lower 10-year-ASCVD-risk (6.4% versus 9.9%) (all p100 and thus may be better at informing hypertension management in American South Asians.

Objective: Little is known about the effect of government-issued State of Emergency (SOE) and Reopening orders on health care behaviors. We aimed to determine the effect of SOE and Phase 1 of Reopening orders on hospitalizations for acute myocardial infarction (AMI) or acute decompensated heart failure (ADHF). Methods: Hospitalizations for AMI and ADHF in the UNC Health system, which includes 10 hospitals in both urban and rural counties, were identified. An interrupted time series design was used to compare weekly hospitalization rates for eight weeks before the March 10th SOE declaration, eight weeks between the SOE order and Phase 1 of Reopening order, and the subsequent eight weeks. Results: Overall, 3,792 hospitalizations for AMI and 7,223 for ADHF were identified. Rates before March 10th were stable. AMI/ADHF hospitalizations declined about 6% per week in both urban and rural hospitals from March 11th to May 5th. Larger declines in hospitalizations were seen in adults ≥65 years old (-8% per week), women (-7% per week), and White individuals (-6% per week). After the Reopening order, AMI/ADHF hospitalizations increased by 8% per week in urban centers and 9% per week in rural centers, including a significant increase in each demographic group. The decline and rebound in acute CV hospitalizations were most pronounced in the two weeks following the government orders. Conclusions: AMI and ADHF hospitalization rates closely correlated to SOE and Reopening orders. These data highlight the impact of public health measures on individuals seeking care for essential services; future policies may benefit from clarity regarding when individuals should present for care.

Objectives: This study sought to assess the effects of neurohormonal therapies in preventing cardiotoxicity in patients receiving chemotherapy. Background: Various cardioprotective approaches have been evaluated to prevent chemotherapy-related cardiotoxicity; however, their overall utility remains uncertain. Methods: This meta-analysis included randomized clinical trials of adult patients that underwent chemotherapy and neurohormonal therapies (β-blockers, mineralocorticoid receptor antagonists, or angiotensin-converting enzyme inhibitors/angiotensin receptor blockers) versus placebo with follow-up ≥4 weeks. The primary outcome was change in left ventricular ejection fraction (LVEF) from baseline to the end of the trial. Other outcomes of interest were measures of LV size, strain, and diastolic function. Pooled estimates for each outcome were reported as standardized mean difference and weighted mean difference between the neurohormonal therapy and placebo groups using random effects models. Results: We included 17 trials, collectively enrolling 1,984 participants. In pooled analysis, neurohormonal therapy (vs. placebo) was associated with significantly higher LVEF on follow-up (standardized mean difference: +1.04 [95% confidence interval (CI): 0.57 to 1.50]) but with significant heterogeneity in the pooled estimate (I2 = 96%). Compared with placebo-treated patients, those randomized to neurohormonal therapies experienced a 3.96% (95% CI: 2.90 to 5.02) less decline in LVEF estimated by weighted mean difference, but with significant heterogeneity (I2 = 98%). There was a trend toward lower adverse clinical events with neurohormonal therapy (vs. placebo) that did not meet statistical significance (risk ratio: 0.80 [95% CI: 0.53 to 1.20]; I2 = 71%). Conclusions: Neurohormonal therapies are associated with higher LVEF in follow-up among cancer patients receiving chemotherapy, although absolute changes in LVEF are small and may be within inter-test variability. Furthermore, significant heterogeneity is observed in the treatment effects across studies highlighting the need for larger trials of cardioprotective strategies.

Abstract Aims The relationship between resting stroke volume (SV) and prognostic markers in heart failure with preserved ejection fraction (HFpEF) is not well established. We evaluated the association of SV index (SVI) at rest with exercise capacity and N‐terminal pro‐B‐type natriuretic peptide (NT‐proBNP) in stable patients with HFpEF. Methods and results Participants enrolled in the Phosphodiesterase‐5 Inhibition to Improve Clinical Status and Exercise Capacity in Diastolic Heart Failure (RELAX) trial with available data on SVI by the Doppler method were included in this analysis (n = 185). A low‐flow state defined by resting SVI

Background Low cardiorespiratory fitness (CRF) and obesity are risk factors for heart failure but their associations with right ventricular (RV) systolic function and pulmonary artery systolic pressure (PASP) are not well understood. Methods and Results Participants in the CARDIA (Coronary Artery Risk Development in Young Adults) study who underwent maximal treadmill testing at baseline and had a follow‐up echocardiographic examination at year 25 were included. A subset of participants had repeat CRF and body mass index (BMI) assessment at year 20. The associations of baseline and changes in CRF and BMI on follow‐up (baseline to year 20) with RV systolic function parameters (tricuspid annular plane systolic excursion, RV Doppler systolic velocity of the lateral tricuspid annulus), and PASP were assessed using multivariable‐adjusted linear regression models. The study included 3433 participants. In adjusted analysis, higher baseline BMI but not CRF was significantly associated with higher PASP. Among RV systolic function parameters, higher baseline CRF and BMI were significantly associated with higher tricuspid annular plane systolic excursion and RV systolic velocity of the lateral tricuspid annulus. In the subgroup of participants with follow‐up assessment of CRF or BMI at year 20, less decline in CRF was associated with higher RV systolic velocity of the lateral tricuspid annulus and lower PASP, while greater increase in BMI was significantly associated with higher PASP in middle age. Conclusions Higher CRF in young adulthood and less decline in CRF over time are each significantly associated with better RV systolic function. Higher baseline BMI and greater age‐related increases in BMI are each significantly associated with higher PASP in middle age. These findings provide insights into possible mechanisms through which low fitness and obesity may contribute toward risk of heart failure.

Background Physical inactivity and low cardiorespiratory fitness (CRF) are associated with higher risk of heart failure. However, the independent contributions of objectively measured sedentary time, physical activity, and CRF toward left ventricular (LV) structure and function are not well established. Methods and Results We included 1368 participants from the DHS (Dallas Heart Study) (age, 49 years; 40% men) free of cardiovascular disease who had physical activity and sedentary time measured by accelerometer, CRF estimated from submaximal treadmill test, and cardiac magnetic resonance imaging performed using 3‐T magnetic resonance imaging. A series of linear regression models were constructed to evaluate the associations of sedentary time, moderate physical activity, vigorous physical activity, and CRF with LV parameters after adjustment for established cardiovascular risk factors. We observed a modest correlation between CRF levels and objectively measured moderate (correlation coefficient, 0.17; P

Background Acute myocardial infarction (AMI) with in‐hospital onset (AMI‐IHO) has poor prognosis but is clinically underappreciated. Whether its occurrence has changed over time is uncertain. Methods and Results Since 1987, the ARIC (Atherosclerosis Risk in Communities) study has conducted adjudicated surveillance of AMI hospitalizations in 4 US communities. Our analysis was limited to patients aged 35 to 74 years with symptomatic AMI. Patients with symptoms initiating after hospital arrival were considered AMI‐IHO. A total of 26 678 weighted hospitalizations (14 276 unweighted hospitalizations) for symptomatic AMI were identified from 1995 to 2014, with 1137 (4%) classified as in‐hospital onset. The population incidence rate of AMI‐IHO increased in the 4 ARIC communities from 1995 through 2004 to 2005 through 2014 (12.7—16.9 events per 100 000 people; P for 20‐year trend 65.

Introduction: Significant heterogeneity in cardiovascular disease (CVD) risk and healthcare resource allocation has been demonstrated in the United States, but optimal methods to capture heterogeneity in county-level characteristics that contribute to CVD mortality differences are unclear. We evaluated the feasibility of unsupervised machine learning (ML)-based phenomapping in identifying subgroups of county-level social and demographic risk factors with differential CVD outcomes. Methods: We performed a cross-sectional study using county-level data from 2008 to 2018 from the Centers for Disease Control (CDC) WONDER platform and the 2020 Robert Wood Johnson County Health Rankings program. Unsupervised clustering was performed on 46 facets of population characteristics spanning the demographic, health behaviors, socioeconomic, and healthcare access domains. Spatial autocorrelation was assessed using the Moran’s I test, and temporal trends in age-adjusted CVD outcomes were evaluated using linear mixed effect models and least square means. Results: Among 2676 counties, 4 county-level phenogroups were identified (Moran’s I p-value

Background Left ventricular assist devices (LVADs) improve outcomes in patients with end‐stage heart failure and are increasingly implanted for destination therapy. We describe dynamic estimates of event‐free survival with conditional survival probabilities in a destination therapy LVAD population. Methods and Results We studied 8245 adult patients in INTERMACS (Interagency Registry for Mechanically Assisted Circulatory Support) implanted with a continuous‐flow destination therapy LVAD. The composite primary end point was death, device exchange or removal, or heart transplantation. Conditional survival probabilities were calculated and stratified by implantation characteristics and nonfatal adverse events experienced within the first year after implant. Probabilities of surviving an additional 1 to 3 years were numerically higher after longer prior event‐free survival. INTERMACS profile 1, extracorporeal membrane oxygenation support, prior or concomitant surgery, and dialysis within 48 hours of implantation were associated with significantly lower event‐free survival in the first year but did not impact event‐free survival beyond then. For patients who experienced a nonfatal adverse event within the first year, subsequent 1‐year conditional survival was lower than in the absence of that event for stroke (65% [95% CI, 57%–73%] versus 75% [95% CI, 73%–77%]; P

Background Substantial heterogeneity exists in the cardiorespiratory fitness (CRF) change in response to exercise training, and its long‐term prognostic implication is not well understood. We evaluated the association between the short‐term supervised training‐related changes in CRF and CRF levels 10 years later. Methods and Results STRRIDE (Studies of a Targeted Risk Reduction Intervention Through Defined Exercise) trial participants who were originally randomized to exercise training for 8 months and participated in the 10‐year follow‐up visit were included. CRF levels were measured at baseline, after training (8 months), and at 10‐year follow‐up as peak oxygen uptake (vo2, mL/kg per min) using the maximal treadmill test. Participants were stratified into low, moderate, and high CRF response groups according to the training regimen–specific tertiles of CRF change. The study included 80 participants (age: 52 years; 35% female). At 10‐year follow‐up, the high‐response CRF group had the least decline in CRF compared with the moderate‐ and low‐response CRF groups (−0.35 versus −2.20 and −4.25 mL/kg per minute, respectively; P=0.02). This result was largely related to the differential age‐related changes in peak oxygen pulse across the 3 groups (0.58, −0.23, and −0.86 mL/beat, respectively; P=0.03) with no difference in the peak heart rate change. In adjusted linear regression analysis, high response was significantly associated with greater CRF at follow‐up independent of other baseline characteristics (high versus low [reference] CRF response: standard β=0.25; P=0.004). Conclusions Greater CRF improvement in response to short‐term training is associated with higher CRF levels 10 years later. Lack of CRF improvements in response to short‐term training may identify individuals at risk for exaggerated CRF decline with aging.

Background The prognostic interrelationship between natriuretic peptide (NP) levels and body mass index (BMI) among patients with chronic stable heart failure with preserved ejection fraction is not well characterized. Methods and Results Participants from the TOPCAT (Treatment of Preserved Cardiac Function Heart Failure With an Aldosterone Antagonist) trial enrolled in the Americas meeting inclusion by the NP stratum were stratified into 4 data‐derived categories by BMI and standardized NP‐z score. Adjusted Cox‐proportional models determined the independent association of BMI, NP‐z score, and BMI/NP categories with composite primary end point, heart failure hospitalization, and all‐cause mortality. The study population included 997 participants. There was a U‐shaped relationship between BMI and NP with elevated NP levels noted at extremes of BMI distribution. There was also a U‐shaped relationship between BMI and risk of adverse clinical outcomes with the lowest risk among patients approximating a BMI of 25 kg/m2. In contrast, higher NP levels were linearly associated with higher risk of adverse clinical outcomes. For BMI/NP‐based categories, participants in the high BMI/high NP group had greater prevalence of cardiac structural and functional abnormalities and the highest risk of adverse clinical outcomes (hazard ratio for primary end point; 95% confidence interval: 2.29 [1.36–3.84] Reference: low BMI/low NP). Conclusions There is a U‐shaped association between BMI and NP levels among patients with chronic heart failure with preserved ejection fraction. Higher NP levels are independently associated with a higher risk of mortality across both high and low BMI strata. Among obese patients with heart failure with preserved ejection fraction, elevated NP levels identify a higher risk phenotype with a significantly increased incidence of both mortality and heart failure hospitalization.