Desai, Akshay S

Abstract Background Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous syndrome comprising multiple pathophysiological phenotypes. HFpEF trials have largely enrolled diverse populations and reported average treatment effects, consistently yielding neutral results that may obscure drug-specific benefits within distinct subgroups. To address this issue, we employ an interaction-based that incorporates treatment-by-variable interactions to uncover drug-specific responses. Methods We leveraged four HFpEF clinical trials (TOPCAT, RELAX, NEAT-HFpEF, INDIE-HFpEF) and developed a framework comprising two complementary approaches. The first employed a prognostic responder model to evaluate whether conventional responder definitions reflect treatment-specific benefit or instead capture favorable clinical trajectories common to both treatment and placebo groups. The second used an interaction-based individual treatment effect (ITE) modeling to identify baseline variables that modify therapy effect, distinguishing drug-specific response from prognostic phenotypes. Results Although the prognostic responder model demonstrated good discrimination, further analisys suggested it primarily captured a prognostic signal associated with favorable clinical trajectories common to both treatment and placebo arms. In contrast, the ITE model identified distinct, drug-specific effect modifiers across trials (cardiorenal-inflammatory for spironolactone (TOPCAT), NO-mediated anti-inflammatory for isosorbide mononitrate (NEAT-HFpEF), afterload-reducing for inorganic nitrite (INDIE-HFpEF), and anti–volume-overload for sildenafil (RELAX). Each ITE model demonstrated significance only within its own trial suggesting drug-specific signal. Conclusions The proposed method identifies mechanism-specific effect modifiers, and uncovers clinically meaningful heterogeneity in treatment response, which is not captured by conventional MCID-based approaches. Although exploratory, these findings support phenotype-guided therapy in HFpEF and argue for phenotype-informed trial design to enhance treatment-effect detection and therapy targeting. Graphical Abstract

Abstract Aims Trends in upright seated pulmonary artery pressure (PAP) with synchronous measurement of weight, blood pressure (BP), and heart rate (HR) have not been compared prior to heart failure events (HFE) and other causes of hospitalization during remote monitoring. Methods We analysed 24-month data from patients in the PROACTIVE-HF trial. Participants (N = 456) used the CordellaTM HF daily to measure seated PAP, weight, BP, and HR, all taken and transmitted within minutes. Events that were analysed included HFE, those potentially related to HF treatment (HF-TRE), and others (non-HFE). Parameters were trended from 60-days before (D-60) to 30-days after (D + 30) the day of the event (D = 0), and their concurrent changes were compared between D-60 and D = 0, and D = 0 and D + 30 using a mixed effects model. Results There were 196 HFE, 276 non-HFE, and 66 HF-TRE. Prior to HFE, average mean PAP (mPAP) increased from 27.8 ± 10.9 mmHg at D-60 to 32.6 ± 11.2 mmHg at D = 0 (P < .001), and decreased to 30.0 ± 12.4 mmHg at D + 30 (P = .001). Kinetics of mPAP before HFE differed by left ventricular ejection fraction (LVEF); mPAP rose by 3.4 ± 6.8 mmHg in 2 weeks before HFE in those with LVEF >40%, whereas a similar magnitude (3.1 ± 9.1 mmHg) of mPAP rise occurred over 6-weeks before HFE in those with LVEF ≤40%. No consistent changes in weight, SBP, or HR prior to HFE were observed (P > .05). Changes in vital signs but not mPAP were noted prior to HF-TRE and non-HFE. Conclusion Seated mPAP increased weeks in advance of HFE and vital signs did not change consistently before HFE. Differential kinetics of mPAP prior to HFE by the LVEF suggest that an uptrend in seated mPAP may need to be addressed more rapidly in those with LVEF>40%. Changes in vital signs with non-HFE and HF-TRE need further validation.

Background Right ventricular (RV) maladaptation to elevated pulmonary afterload is the primary determinant of outcomes in pulmonary artery (PA) hypertension; however, the pathobiological mechanisms underlying RV decompensation remain poorly understood. Methods We performed global untargeted metabolomics on plasma from 55 patients who underwent gold‐standard RV‐PA coupling measurements using multibeat pressure volume loop assessment in a single‐center cohort and from 1027 patients with coupling surrogate measurements in a larger multicenter cohort, the PVDOMICS (Pulmonary Vascular Disease Phenomics) study. Age and sex‐adjusted linear regression was performed to identify associations between metabolites and coupling metrics. Additionally, we performed a metabolic flux analysis using gene expression data from RV tissue in an independent cohort of 32 patients. Partial least squares–discriminant analysis was used to identify metabolites and reactions characteristic of the decompensated RV. Results RV‐PA coupling was negatively associated with tricarboxylic acid (TCA) cycle intermediate levels. Specifically, plasma α‐ketoglutarate and fumarate were significantly associated with all coupling metrics in both cohorts. Metabolic flux analysis indicated that decompensated RVs exhibited aberrant TCA cycle activity, including reduced acetyl coenzyme A entry and increased lactate elimination, suggesting a shift from the TCA cycle toward glycolysis at the RV tissue level. Conclusions We identify an association between circulating TCA cycle intermediate levels and RV‐PA uncoupling in 2 independent cohorts, and dysregulated TCA cycle metabolism in decompensated PA hypertension RVs, suggesting that aberrant TCA cycle metabolism could represent a hallmark of RV maladaptation in PA hypertension. Further study of this pathway is warranted to develop novel biomarkers of RV function or RV‐targeted therapies.

Introduction: Patients with heart failure with preserved ejection fraction (HFpEF) have a high burden of comorbidities. To recognize the complex interplay of obesity, diabetes, and chronic kidney disease (CKD) in patients with cardiovascular disease, the cardiovascular-kidney-metabolic (CKM) syndrome was recently defined, but data on the burden of CKM in HFpEF is limited. Aim: We sought to describe the prevalence of CKM components in HFpEF leveraging data from control participants in clinical trials and NHANES. Methods: We analyzed data presented in publications from four randomized clinical trials that enrolled participants with HFpEF (all of which are available via NHLBI BioLINCC and will be included in the extant HeartShare dataset): TOPCAT, RELAX, NEAT-HFpEF, and INDIE. We abstracted baseline demographic and clinical variables from study publications to define CKM components (e.g., body mass index [BMI], diabetes status, hypertension, CKD status). We compared prevalence of CKM in these trials with a representative sample of US adults with self-reported history of heart failure (HF) from NHANES 2011-2018. Results: We included 1937 patients with HFpEF from four trials with enrollment between 2006-2016 and 715 adults representing 5.6 million adults aged ≥40 years with a self-report of HF between 2011-2018 from NHANES ( Table ). Mean age was similar among enrolled trial participants with HFpEF and those with HF in NHANES (~68-69 years). Mean BMI was in the obesity range and was similar among trial participants with HFpEF and HF in NHANES (31-35 kg/m 2 ). A significant proportion of individuals had hypertension in HFpEF trials (>80%) and in the NHANES sample with HF (89%). The proportion of stage ≥ 3 CKD in HFpEF trials (≥ 37%) was similar to the NHANES sample with HF (37%). Results are shown in Table . Conclusions: Patients with HFpEF enrolled in clinical trials and those with HF in general population are significantly enriched with CKM components that may contribute to morbidity and mortality. Similar prevalence estimates were observed despite variability in trial inclusion criteria and heterogeneity in defining HFpEF and highlight CKM as a central target for HFpEF management.

Abstract Background Cognitive decline is common in patients with heart failure (HF), but its clinical correlates and prognostic impact are not well understood in this population. Purpose To examine the baseline variables associated with cognitive decline and the associations between cognitive decline and HF outcomes in patients with heart failure and preserved ejection fraction (HFpEF). Methods We analyzed cognitive function, as measured by the Mini-Mental State Examination (MMSE), in 2895 patients with HFpEF enrolled in a pre-specified sub-study of PARAGON-HF. Logistic regression analysis was performed to determine the factors associated with cognitive decline i.e., a decrease in MMSE score of ≥3 points by 48 weeks. Time-updated Cox proportional hazards regressions and semiparametric proportional rates models were used to examine the subsequent risk of clinical outcomes after a decline in MMSE scores of ≥1-, 2- and 3-points during follow-up respectively, adjusted for known prognostic variables including NT-proBNP and baseline MMSE. Results A total of 450 (15.5% of the population) patients experienced a decrease in MMSE score of ≥3 points from baseline, at any follow-up visit. The corresponding number for a decrease in MMSE score of ≥2 points and ≥1 point was 755 (26.1%) and 1231 (42.5%), respectively. Independent predictors of cognitive decline at 48 weeks included older age, living in Latin America or the Asia/Pacific region, ischemic etiology, prior HF hospitalization, history of stroke/TIA, and lower serum albumin level (Figure 1). There was a graded relationship between the size of the decrease in MMSE score from baseline and the subsequent risk of mortality. Notably, a decrease of ≥3 points was associated with a 50% increase in the subsequent risk of death from any cause (adjusted HR 1.53, 95% CI 1.10-2.11) and a 90% elevation in risk of death from cardiovascular causes (1.89, 1.25-2.86), respectively, after extensive adjustment for known prognostic variables and baseline MMSE score. By contrast, cognitive decline during follow-up was not associated with a higher risk of HF hospitalization or the composite of HF hospitalization or CV death (Figure 2). Conclusions In patients with HFpEF, a decline in MMSE score during follow-up is independently associated with a graded increase in the risk for mortality, but not of HF hospitalization.The predictors for cognitive declineRisk of outcomes after a decline in MMSE

Abstract Background NT-proBNP levels are associated with disease severity and outcomes in patients with HF across the spectrum of LVEF. Recently, it has been suggested that the effectiveness of certain treatments may vary by NT-proBNP level with greater benefit from omecamtiv mecarbil, and smaller benefit from vericiguat, in patients with higher NT-proBNP levels. We examined the benefit of sacubitril/valsartan on outcomes across the range of NT-proBNP levels in patients with HFrEF/HFmrEF/HFpEF. Purpose To evaluate clinical outcomes, and the efficacy of sacubitril/valsartan, according to NT-proBNP levels, in patients with HFrEF/HFmrEF/HFpEF, using the pooled dataset of participants in the PARADIGM-HF and PARAGON-HF trials. Methods The PARADIGM-HF (n=8399) and PARAGON-HF (n=4822) trials enrolled patients with HF, functional limitation, and elevated NT-proBNP levels. Patients with LVEF ≤40% were randomized to sacubitril/valsartan 200 mg twice daily or enalapril 10mg twice daily in PARADIGM-HF, and those with LVEF ≥45% to sacubitril/valsartan 200 mg twice daily or valsartan 160mg twice daily in PARAGON-HF. Patients were categorized by quintiles of NT-proBNP level and using NT-proBNP as a continuous variable, analysed using restricted cubic splines. The primary outcome in the present study was the composite of cardiovascular death or HF hospitalization. Results Among the 13195 patients in the pooled PARADIGM-HF and PARAGON-HF dataset, 13142 (99.6%) patients with baseline NT-proBNP were analysed. Patients with higher NT-proBNP levels were more often male, had lower body mass index and LVEF, worse New York Heart Association functional class, worse kidney function, and more atrial fibrillation, while age was similar across NT-proBNP levels. The rate of the primary outcome (per 100 person-years) increased with NT-proBNP level: quintile 1, 5.9 (95%CI 5.3-6.5); quintile 2, 7.5 (95%CI 6.9-8.2); quintile 3, 9.0 (95%CI 8.2-9.7); quintile 4, 12.0 (95%CI 11.1-12.9); and quintile 5, 20.8 (95%CI 19.6-22.2) (Figure 1). Similar trends were observed for other outcomes. The benefit of sacubitril/valsartan was consistent across NT-proBNP levels: the hazard ratio for the primary outcome in NT-proBNP quintile 1 was 0.79 (95%CI 0.65-0.96); quintile 2, 0.87 (95%CI 0.72-1.04); quintile 3, 0.79 (95%CI 0.66-0.93); quintile 4, 0.85 (95%CI 0.73-0.99); and quintile 5, 0.86 (95%CI 0.76-0.97), P-interaction=0.86. The consistent benefit of sacubitril/valsartan was also seen when NT-proBNP was analysed as a continuous variable (Figure 2). The absolute benefit was greatest in quintile 5 of NT-proBNP; the number needed to treat for quintile 5 was 16 versus 37 for the quintile 1 for the primary endpoint. Conclusions Patients with higher NT-proBNP had worse outcomes, but the benefits of sacubitril valsartan were consistent across the range of NT-proBNP levels of participants in PARADIGM-HF and PARAGON-HF.Kaplan-Meier curvesEffect of sac/val across NT-proBNP range

BACKGROUND: Cognitive impairment is common in patients with heart failure and preserved ejection fraction but its clinical correlates and prognostic associations are poorly understood. METHODS: We analyzed cognitive function, using the Mini-Mental State Examination (MMSE), in patients with heart failure and preserved ejection fraction enrolled in a prespecified substudy of the PARAGON-HF trial (Prospective Comparison of Angiotensin Receptor Neprilysin Inhibitor With Angiotensin Receptor Blocker Global Outcomes in Heart Failure With Preserved Ejection Fraction). Logistic regression analyses were performed to determine the variables associated with lower MMSE scores at baseline and postbaseline decline in MMSE scores at 48 weeks. Cox proportional hazards regression and semiparametric proportional rates models were used to examine the risk of clinical outcomes related to baseline MMSE scores, and decline in MMSE scores during follow-up, adjusted for prognostic variables including NT-proBNP (N-terminal pro-B-type natriuretic peptide). RESULTS: At baseline, cognitive function was normal (MMSE score 28–30) in 1809 of 2895 patients (62.5%), borderline (score 24–27) in 794 (27.4%), and impaired (score <24) in 292 (10.1%). Variables associated with both a lower MMSE score at baseline and a decline in score from baseline included older age, a history of stroke or transient ischemic attack, and lower serum albumin. Compared with those with baseline MMSE scores of 28 to 30, patients in the lower MMSE score categories had a stepwise increase in the risk of the composite of time to first heart failure hospitalization or cardiovascular death, with an adjusted hazard ratio of 1.27 (95% CI, 1.06–1.53) for those with scores of 24 to 27 and 1.58 (95% CI, 1.21–2.06) for those with scores <24, respectively. These associations were also found for the individual components of the composite and all-cause death. Likewise, cognitive impairment was associated with a 50% higher risk of total (first and repeat) heart failure hospitalizations and cardiovascular deaths. Examining the change in MMSE score from baseline, a decrease in MMSE score during follow-up was associated with a higher risk of death. CONCLUSIONS: In patients with heart failure and preserved ejection fraction, even modest baseline impairment of cognitive function was associated with worse outcomes, including death. A decline in MMSE score during follow-up was a strong predictor of mortality, independent of other prognostic variables.

ABSTRACT Aims In the absence of randomized trial evidence, we performed a large observational analysis of the association between beta-blocker (BB) use and clinical outcomes in patients with heart failure (HF) and mildly reduced (HFmrEF) and preserved ejection fraction (HFpEF). Methods and results We pooled individual patient data from four large HFmrEF/HFpEF trials (I-Preserve, TOPCAT, PARAGON-HF, and DELIVER). The primary outcome was the composite of cardiovascular death or HF hospitalization. Among the 16 951 patients included, the mean left ventricular ejection fraction (LVEF) was 56.8%, and 13 400 (79.1%) had HFpEF (LVEF ≥50%). Overall, 12 812 patients (75.6%) received a BB. The median bisoprolol-equivalent dose of BB was 5.0 (Q1–Q3: 2.5–5.0) mg with BB continuation rates of 93.1% at 2 years (in survivors). The unadjusted hazard ratio (HR) for the primary outcome did not differ between BB users and non-users (HR 0.98, 95% confidence interval [CI] 0.91–1.05), but the adjusted HR was lower in BB users than non-users (0.81, 95% CI 0.74–0.88), and this association was maintained across LVEF (pinteraction = 0.88). In subgroup analyses, the adjusted risk of the primary outcome was similar in BB users and non-users with or without a history of myocardial infarction, hypertension, or a baseline heart rate &lt;70 bpm. By contrast, a better outcome with BB use was seen in patients with atrial fibrillation compared to those without atrial fibrillation (pintreraction = 0.02). Conclusions In this observational analysis of non-randomized BB treatment, there was no suggestion that BB use was associated with worse HF outcomes in HFmrEF/HFpEF, even after extensive adjustment for other prognostic variables.

Background Prognostic markers and biological pathways linked to detrimental clinical outcomes in heart failure with preserved ejection fraction (HFpEF) remain incompletely defined. Methods and Results We measured serum levels of 4123 unique proteins in 1117 patients with HFpEF enrolled in the PARAGON‐HF (Efficacy and Safety of LCZ696 Compared to Valsartan, on Morbidity and Mortality in Heart Failure Patients With Preserved Ejection Fraction) trial using a modified aptamer proteomic assay. Baseline circulating protein concentrations significantly associated with the primary end point and the timing and occurrence of total heart failure hospitalization and cardiovascular death were identified by recurrent events regression, accounting for multiple testing, adjusted for age, sex, treatment, and anticoagulant use, and compared with published analyses in 2515 patients with heart failure with reduced ejection fraction from the PARADIGM‐HF (Prospective Comparison of ARNI With ACEI to Determine Impact on Global Mortality and Morbidity in Heart Failure) and ATMOSPHERE (Efficacy and Safety of Aliskiren and Aliskiren/Enalapril Combination on Morbidity–Mortality in Patients With Chronic Heart Failure) clinical trials. We identified 288 proteins that were robustly associated with the risk of heart failure hospitalization and cardiovascular death in patients with HFpEF. The baseline proteins most strongly related to outcomes included B2M (β‐2 microglobulin), TIMP1 (tissue inhibitor of matrix metalloproteinase 1), SERPINA4 (serpin family A member 4), and SVEP1 (sushi, von Willebrand factor type A, EGF, and pentraxin domain containing 1). Overall, the protein–outcome associations in patients with HFpEF did not markedly differ as compared with patients with heart failure with reduced ejection fraction. A proteomic risk score derived in patients with HFpEF was not superior to a previous proteomic score derived in heart failure with reduced ejection fraction nor to clinical risk factors, NT‐proBNP (N‐terminal pro‐B‐type natriuretic peptide), or high‐sensitivity cardiac troponin. Conclusions Numerous serum proteins linked to metabolic, coagulation, and extracellular matrix regulatory pathways were associated with worse HFpEF prognosis in the PARAGON‐HF proteomic substudy. Our results demonstrate substantial similarities among serum proteomic risk markers for heart failure hospitalization and cardiovascular death when comparing clinical trial participants with heart failure across the ejection fraction spectrum. Registration URL: https://www.clinicaltrials.gov ; Unique Identifiers: NCT01920711, NCT01035255, NCT00853658.