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AIMS: Abnormalities in specific echocardiographic parameters and cardiac biomarkers have been reported among individuals with diabetes. However, a comprehensive characterization of diabetic cardiomyopathy (DbCM), a subclinical stage of myocardial abnormalities that precede the development of clinical heart failure (HF), is lacking. In this study, we developed and validated a machine learning-based clustering approach to identify the high-risk DbCM phenotype based on echocardiographic and cardiac biomarker parameters. METHODS AND RESULTS: Among individuals with diabetes from the Atherosclerosis Risk in Communities (ARIC) cohort who were free of cardiovascular disease and other potential aetiologies of cardiomyopathy (training, n = 1199), unsupervised hierarchical clustering was performed using echocardiographic parameters and cardiac biomarkers of neurohormonal stress and chronic myocardial injury (total 25 variables). The high-risk DbCM phenotype was identified based on the incidence of HF on follow-up. A deep neural network (DeepNN) classifier was developed to predict DbCM in the ARIC training cohort and validated in an external community-based cohort (Cardiovascular Health Study [CHS]; n = 802) and an electronic health record (EHR) cohort (n = 5071). Clustering identified three phenogroups in the derivation cohort. Phenogroup-3 (n = 324, 27% of the cohort) had significantly higher 5-year HF incidence than other phenogroups (12.1% vs. 4.6% [phenogroup 2] vs. 3.1% [phenogroup 1]) and was identified as the high-risk DbCM phenotype. The key echocardiographic predictors of high-risk DbCM phenotype were higher NT-proBNP levels, increased left ventricular mass and left atrial size, and worse diastolic function. In the CHS and University of Texas (UT) Southwestern EHR validation cohorts, the DeepNN classifier identified 16% and 29% of participants with DbCM, respectively. Participants with (vs. without) high-risk DbCM phenotype in the external validation cohorts had a significantly higher incidence of HF (hazard ratio [95% confidence interval] 1.61 [1.18-2.19] in CHS and 1.34 [1.08-1.65] in the UT Southwestern EHR cohort). CONCLUSION: Machine learning-based techniques may identify 16% to 29% of individuals with diabetes as having a high-risk DbCM phenotype who may benefit from more aggressive implementation of HF preventive strategies.

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BACKGROUND: Steroidal mineralocorticoid receptor antagonists reduce morbidity and mortality among patients with heart failure and reduced ejection fraction, but their efficacy in those with heart failure and mildly reduced or preserved ejection fraction has not been established. Data regarding the efficacy and safety of the nonsteroidal mineralocorticoid receptor antagonist finerenone in patients with heart failure and mildly reduced or preserved ejection fraction are needed. METHODS: In this international, double-blind trial, we randomly assigned patients with heart failure and a left ventricular ejection fraction of 40% or greater, in a 1:1 ratio, to receive finerenone (at a maximum dose of 20 mg or 40 mg once daily) or matching placebo, in addition to usual therapy. The primary outcome was a composite of total worsening heart failure events (with an event defined as a first or recurrent unplanned hospitalization or urgent visit for heart failure) and death from cardiovascular causes. The components of the primary outcome and safety were also assessed. RESULTS: Over a median follow-up of 32 months, 1083 primary-outcome events occurred in 624 of 3003 patients in the finerenone group, and 1283 primary-outcome events occurred in 719 of 2998 patients in the placebo group (rate ratio, 0.84; 95% confidence interval [CI], 0.74 to 0.95; P = 0.007). The total number of worsening heart failure events was 842 in the finerenone group and 1024 in the placebo group (rate ratio, 0.82; 95% CI, 0.71 to 0.94; P = 0.006). The percentage of patients who died from cardiovascular causes was 8.1% and 8.7%, respectively (hazard ratio, 0.93; 95% CI, 0.78 to 1.11). Finerenone was associated with an increased risk of hyperkalemia and a reduced risk of hypokalemia. CONCLUSIONS: In patients with heart failure and mildly reduced or preserved ejection fraction, finerenone resulted in a significantly lower rate of a composite of total worsening heart failure events and death from cardiovascular causes than placebo. (Funded by Bayer; FINEARTS-HF ClinicalTrials.gov number, NCT04435626.).

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BACKGROUND: Mineralocorticoid receptor antagonists (MRAs) reduce hospitalisations and death in patients with heart failure and reduced ejection fraction (HFrEF), but the benefit in patients with heart failure and mildly reduced ejection fraction (HFmrEF) or heart failure and preserved ejection fraction (HFpEF) is unclear. We evaluated the effect of MRAs in four trials that enrolled patients with heart failure across the range of ejection fraction. METHODS: This is a prespecified, individual patient level meta-analysis of the RALES (spironolactone) and EMPHASIS-HF (eplerenone) trials, which enrolled patients with HFrEF, and of the TOPCAT (spironolactone) and FINEARTS-HF (finerenone) trials, which enrolled patients with HFmrEF or HFpEF. The primary outcome of this meta-analysis was a composite of time to first hospitalisation for heart failure or cardiovascular death. We also estimated the effect of MRAs on components of this composite, total (first or repeat) heart failure hospitalisations (with and without cardiovascular deaths), and all-cause death. Safety outcomes were also assessed, including serum creatinine, estimated glomerular filtration rate, serum potassium, and systolic blood pressure. An interaction between trials and treatment was tested to examine the heterogeneity of effect in these populations. This study is registered with PROSPERO, CRD42024541487. FINDINGS: 13 846 patients were included in the four trials. MRAs reduced the risk of cardiovascular death or heart failure hospitalisation (hazard ratio 0·77 [95% CI 0·72-0·83]). There was a statistically significant interaction by trials and treatment (p for interaction=0·0012) due to the greater efficacy in HFrEF (0·66 [0·59-0·73]) compared with HFmrEF or HFpEF (0·87 [0·79-0·95]). We observed significant reductions in heart failure hospitalisation in the HFrEF trials (0·63 [0·55-0·72]) and the HFmrEF or HFpEF trials (0·82 [0·74-0·91]). The same pattern was observed for total heart failure hospitalisations with or without cardiovascular death. Cardiovascular death was reduced in the HFrEF trials (0·72 [0·63-0·82]) but not in the HFmrEF or HFpEF trials (0·92 [0·80-1·05]). All-cause death was also reduced in the HFrEF trials (0·73 [0·65-0·83]) but not in the HFmrEF or HFpEF trials (0·94 [0·85-1·03]). With an MRA, the risk of hyperkalaemia was doubled compared with placebo (odds ratio 2·27 [95% CI 2·02-2·56]), but the incidence of serious hyperkalaemia (serum potassium >6·0 mmol/L) was low (2·9% vs 1·4%); the risk of hypokalaemia (potassium <3·5 mmol/L) was halved (0·51 [0·45-0·57]; 7% vs 14%). INTERPRETATION: Steroidal MRAs reduce the risk of cardiovascular death or heart failure hospitalisation in patients with HFrEF and non-steroidal MRAs reduce this risk in patients with HFmrEF or HFpEF. FUNDING: None.

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BACKGROUND: Anemia is one of the most frequent comorbidities in patients with heart failure (HF), which potentially can interfere with the effect of guideline-recommended HF medical therapy and can be associated with the use of neurohormonal blockers. AIM: The aim of this analysis was to determine the prevalence and changes of anemia status in the STRONG-HF study, its association with clinical endpoints, and possible interaction of the presence of anemia with the efficacy and safety of high-intensity HF treatment. METHODS: The design and main results of the study have been previously described. Patients were randomized within 2 days prior to anticipated hospital discharge after HF worsening in a 1:1 fashion to either high-intensity care (HIC) or usual care (UC). Baseline characteristics, clinical and safety outcomes, and treatment effect of HIC vs. UC on the primary and secondary outcomes were compared in groups based on baseline anemia. In addition, dynamics of hemoglobin during the study follow-up and predictors of incident anemia at 90 days were investigated. RESULTS: The proportion of anemia in 1077 STRONG-HF patients at enrollment was 27.2%, while at 90 days, it changed to 32.1%. The primary composite outcome occurred in 18.2% of patients without baseline anemia, and 22.5% of patients with baseline anemia (unadjusted HR 1.27; 95% CI 0.90-1.80), a difference that did not reach statistical significance. However, patients with baseline anemia had significantly less improvement of EQ-VAS questionnaire values from baseline to day 90 (adjusted LS-Mean difference -2.34 (-4.37, -0.31), P = 0.02). During the study, anemia developed in 19.4 and 14.6% in HIC and UC groups, respectively. The opposite phenomenon-recovery of anemia-occurred in 27.6 and 28.8% in HIC and UC groups (P = 0.1379). The predictors of incident anemia at 90 days were male sex, geographical region other than Europe, ischemic etiology, higher glucose, and elevated uric acid at baseline. The percentages of optimal doses of renin-angiotensin system inhibitors, beta-blockers, and mineralocorticoid receptor antagonists were not different between anemic and non-anemic patients. High-intensity care strategy did not increase rate of incident anemia at 90 days and reduced the rate of primary and secondary endpoints regardless of baseline hemoglobin. CONCLUSION: Hemoglobin level and status of anemia have a dynamic nature in the acute HF patients in the post-discharge period dependent on multiple factors. High-intensity HF treatment is safe and beneficial regardless of baseline hemoglobin level and presence of anemia. The improvement of quality of life is significantly lower in anemic HF patients implying specific attention to correction of this condition.

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AIMS: Renin-angiotensin system inhibitors (RASi) have been shown to lower haemoglobin levels, potentially related to reductions in erythropoietin levels and haematopoiesis. We examined whether sacubitril/valsartan might attenuate this effect of RASi alone on incident anaemia in patients with heart failure (HF) with mildly reduced or preserved ejection fraction (HFmrEF/HFpEF). METHODS AND RESULTS: PARAGON-HF was a global, multicentre randomized clinical trial of sacubitril/valsartan versus the RASi valsartan in patients with HF and left ventricular ejection fraction ≥45%. We evaluated haemoglobin trajectory and risks of incident anaemia and new iron therapy initiation during follow-up. Among 4795 participants, 1111 (23.2%) had anaemia at randomization and 5.6% were treated with iron at baseline. Over a median follow-up of 2.9 years, patients with anaemia were at significantly higher risk for total HF hospitalizations and cardiovascular death, compared with those without anaemia (21.6 vs. 11.5 per 100 patient-years; adjusted rate ratio 1.31; 95% confidence interval [CI] 1.12-1.54; p = 0.001). Sacubitril/valsartan slightly slowed the decline in haemoglobin levels by 0.1 g/dl (95% CI 0.0-0.2 g/dl; p = 0.005). Participants treated with sacubitril/valsartan were at significantly lower risk of developing anaemia (30.3% vs. 37.6%; hazard ratio [HR] 0.76; 95% CI 0.68-0.85; p < 0.001) and starting iron therapy (8.1% vs. 10.0%; HR 0.81; 95% CI 0.67-0.97; p = 0.026). Treatment effects of sacubitril/valsartan versus valsartan on total HF hospitalizations and cardiovascular death were consistent among patients across the haemoglobin spectrum (pinteraction = 0.60). CONCLUSIONS: Among patients with HFmrEF/HFpEF, treatment with sacubitril/valsartan resulted in modestly smaller declines in haemoglobin, lower rates of incident anaemia, and fewer new initiations of iron therapy compared with RASi. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov ID NCT01920711.

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Cardiovascular-kidney-metabolic syndrome is an emerging entity that connects cardiovascular diseases, chronic kidney disease, and diabetes. The non-steroidal mineralocorticoid receptor antagonist, finerenone, has been studied in three prospective randomized clinical trials of patients with cardio-kidney-metabolic syndrome: FIDELIO-DKD, FIGARO-DKD, and FINEARTS-HF. In light of the strong epidemiological overlap and shared mechanistic drivers of clinical outcomes across cardio-kidney-metabolic syndrome, we summarize the efficacy and safety of finerenone on cardiovascular, kidney, and mortality outcomes in this prespecified participant-level pooled analysis. The three trials included 18,991 participants (mean age 67 ± 10 years; 35% women). During 2.9 years median follow-up, the primary outcome of cardiovascular death occurred in 421 (4.4%) assigned to finerenone and 471 (5.0%) assigned to placebo (HR 0.89; 95% CI 0.78-1.01; P = 0.076). Death from any cause occurred in 1,042 (11.0%) participants in the finerenone arm and 1,136 (12.0%) in the placebo arm (HR 0.91; 95% CI 0.84-0.99; P = 0.027). Finerenone further reduced the risk of HF hospitalization (HR 0.83; 95% CI 0.75-0.92; P < 0.001) and the composite kidney outcome (HR 0.80; 95% CI 0.72-0.90; P < 0.001). While this pooled analysis failed to demonstrate significant reductions in cardiovascular death, finerenone was associated with significantly lower deaths of any cause, cardiovascular events, and kidney outcomes. PROSPERO identifier: CRD42024570467.

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BACKGROUND: Direct oral anticoagulants are the standard of care for stroke prevention in eligible patients with atrial fibrillation and atrial flutter; however, bleeding remains a significant concern, limiting their use. Milvexian is an oral Factor XIa inhibitor that may offer similar anticoagulant efficacy with less bleeding risk. METHODS: LIBREXIA AF (NCT05757869) is a global phase III, randomized, double-blind, parallel-group, event-driven trial to compare milvexian with apixaban in participants with atrial fibrillation or atrial flutter. Participants are randomly assigned to milvexian 100 mg or apixaban (5 mg or 2.5 mg per label indication) twice daily. The primary efficacy objective is to evaluate if milvexian is noninferior to apixaban for the prevention of stroke and systemic embolism. The principal safety objective is to evaluate if milvexian is superior to apixaban in reducing the endpoint of International Society of Thrombosis and Hemostasis (ISTH) major bleeding events and the composite endpoint of ISTH major and clinically relevant nonmajor (CRNM) bleeding events. In total, 15,500 participants from approximately 1,000 sites in over 30 countries are planned to be enrolled. They will be followed until both 430 primary efficacy outcome events and 530 principal safety events are observed, which is estimated to take approximately 4 years. CONCLUSION: The LIBREXIA AF study will determine the efficacy and safety of the oral Factor XIa inhibitor milvexian compared with apixaban in participants with either atrial fibrillation or atrial flutter. TRIAL REGISTRATION: ClinicalTrials.gov NCT05757869.

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AIMS: We investigated the prevalence, clinical characteristics, and prognosis of patients with heart failure (HF) with improved ejection fraction (HFimpEF). METHODS AND RESULTS: We used data from BIOSTAT-CHF including patients with a left ventricular ejection fraction (LVEF) ≤40% at baseline who had LVEF re-assessed at 9 months. HFimpEF was defined as a LVEF >40% and a LVEF ≥10% increase from baseline at 9 months. We validated findings in the ASIAN-HF registry. The primary outcome was a composite of time to HF rehospitalization or all-cause mortality. In BIOSTAT-CHF, about 20% of patients developed HFimpEF, that was associated with a lower primary event rate of all-cause mortality (hazard ratio [HR] 0.52, 95% confidence interval [CI] 0.28-0.97, p = 0.040) and the composite endpoint (HR 0.46, 95% CI 0.30-0.70, p < 0.001) compared with patients who remained in persistent HF with reduced ejection fraction (HFrEF). The findings were similar in the ASIAN-HF (HR 0.40, 95% CI 0.18-0.89, p = 0.024, and HR 0.29, 95% CI 0.17-0.48, p < 0.001). Five independently common predictors for HFimpEF in both BIOSTAT-CHF and ASIAN-HF were female sex, absence of ischaemic heart disease, higher LVEF, smaller left ventricular end-diastolic and end-systolic diameter at baseline. A predictive model combining only five predictors (absence of ischaemic heart disease and left bundle branch block, smaller left ventricular end-systolic and left atrial diameter, and higher platelet count) for HFimpEF in the BIOSTAT-CHF achieved an area under the curve of 0.772 and 0.688 in the ASIAN-HF (due to missing left atrial diameter and platelet count). CONCLUSIONS: Approximately 20-30% of patients with HFrEF improved to HFimpEF within 1 year with better clinical outcomes. In addition, the predictive model with clinical predictors could more accurately predict HFimpEF in patients with HFrEF.

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This Series paper provides an overview of digital tools in heart failure care, encompassing screening, early diagnosis, treatment initiation and optimisation, and monitoring, and the implications these tools could have for research. The current medical environment favours the implementation of digital tools in heart failure due to rapid advancements in technology and computing power, unprecedented global connectivity, and the paradigm shift towards digitisation. Despite available effective therapies for heart failure, substantial inadequacies in managing the condition have hindered improvements in patient outcomes, particularly in low-income and middle-income countries. As digital health tools continue to evolve and exert a growing influence on both clinical care and research, establishing clinical frameworks and supportive ecosystems that enable their effective use on a global scale is crucial.

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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 <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.

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Importance: Sacubitril/valsartan is indicated to reduce the risk of cardiovascular death and heart failure (HF) hospitalizations in patients with chronic HF. However, many of these patients are older and have multiple comorbidities that increase the risk of hospitalization for causes other than HF. Objective: To assess the effects of sacubitril/valsartan on hospitalizations of any cause across the spectrum of left ventricular ejection fraction (LVEF). Design, Setting, and Participants: This post hoc, participant-level, pooled analysis of the PARADIGM-HF (in patients with an LVEF ≤40%) and PARAGON-HF (in patients with an LVEF ≥45%) randomized clinical trials was conducted from February 5, 2024, to April 5, 2024. Participants with chronic HF, New York Heart Association classes II through IV symptoms, and elevated natriuretic peptides were randomized to treatment with either sacubitril/valsartan or a renin-angiotensin system inhibitor (RASi)-enalapril in the PARADIGM-HF trial or valsartan in the PARAGON-HF trial. Intervention: Sacubitril/valsartan vs RASi (enalapril or valsartan). Main Outcomes and Measures: The effects of sacubitril/valsartan on time to first investigator-reported all-cause and cause-specific hospitalizations were examined using Cox proportional hazards models, stratified by geographic region and trial. Effect modification by LVEF as a continuous function was examined. Results: Among 13 194 participants in the PARADIGM-HF and PARAGON-HF trials, mean (SD) patient age was 67 (11) years, 8883 patients (67.3%) were male, and mean (SD) LVEF was 40% (15%). Sacubitril/valsartan significantly reduced the risk of all-cause hospitalization (ACH) compared with RASi over a median (IQR) follow-up period of 2.5 (1.8-3.1) years (hazard ratio [HR], 0.92; 95% CI, 0.88-0.97; P = .002). The incidence rate of first ACH was 25 (95% CI, 24-26) per 100 patient-years in the sacubitril/valsartan arm and 27 (95% CI, 26-28) per 100 patient-years in the RASi arm. The absolute risk reduction (ARR) was 2.1 per 100 patient-years, corresponding to a number needed to treat (NNT) of 48 patient-years of treatment exposure to prevent 1 ACH. Reductions in overall hospitalizations seemed primarily driven by lower rates of cardiac and pulmonary hospitalizations with sacubitril/valsartan. Patients in the 2 treatment arms had similar rates of composite noncardiac hospitalizations. Treatment heterogeneity on ACH by LVEF was observed (P for interaction = .03), with benefits most apparent in patients with an LVEF less than 60% (HR, 0.91; 95% CI, 0.86-0.96), but not in patients with an LVEF of 60% or more (HR, 0.97; 95% CI, 0.86-1.09). Conclusions and Relevance: In this post hoc pooled analysis of 13 194 patients with chronic HF in the PARADIGM-HF and PARAGON-HF randomized clinical trials, sacubitril/valsartan significantly reduced hospitalization for any reason, with benefits most apparent in patients with an LVEF below normal. This reduction appeared to be principally driven by lower rates of cardiac and pulmonary hospitalizations. Trial Registrations: ClinicalTrials.gov Identifiers: NCT01035255 (PARADIGM-HF) and NCT01920711 (PARAGON-HF).

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AIMS: Although the prevalence of heart failure (HF) increases markedly with advancing age, surprisingly little is known about HF in the very elderly. The aim of this study was to describe the clinical characteristics and outcomes of octogenarians with HF. METHODS AND RESULTS: Individual participant meta-analysis of patients with HF and reduced, mildly reduced, and preserved ejection fraction (HFrEF, HFmrEF, and HFpEF, respectively) enrolled in eight large randomized trials. Overall, the proportion of octogenarians was 1518 of 20 168 patients (7.5%) with HFrEF, 610 of 4609 (13.2%) with HFmrEF, and 3130 of 15 354 (20.4%) with HFpEF. Regardless of HF phenotype, octogenarian patients were more often female and had more comorbidities, more symptoms and signs of congestion, and worse health status (but not quality of life), in comparison to patients aged <80 years. The incidence (per 100 person-years) of the composite of cardiovascular death or HF hospitalization was 13.3 (95% confidence interval [CI] 12.7-14.0) in octogenarians versus 9.5 (95% CI 9.3-9.7) in non-octogenarians (adjusted hazard ratio [aHR] 1.40, 95% CI 1.32-1.48). Each component of the composite was more frequent in octogenarians with rates of cardiovascular mortality of 7.0 (95% CI 6.5-7.4) per 100 person-years versus 4.9 (95% CI 4.8-5.1) in non-octogenarians (aHR 1.60, 95% CI 1.48-1.72, p < 0.001). Octogenarians received less evidence-based therapy, especially mineralocorticoid receptor antagonists, than younger patients. CONCLUSION: Despite worse health status and higher hospitalization and mortality rates, octogenarians were undertreated compared to younger patients.

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BACKGROUND: Renal dysfunction is common and associated with a poor prognosis in patients with heart failure. However, the association of cardiac structure and function with decline in kidney function in this population is unknown. We aimed to assess the association between individual measures of cardiac structure and function with changes in renal function and renal outcomes in patients with heart failure with preserved ejection fraction. METHODS: Patients enrolled in the PARAGON-HF (Prospective Comparison of Angiotensin Receptor-Neprilysin Inhibitor With Angiotensin-Receptor Blockers Global Outcomes in Heart Failure With Preserved Ejection Fraction) echocardiographic substudy were included. The association between each echocardiographic parameter (expressed in standardized units) and changes over time in estimated glomerular filtration rate was calculated with repeated-measures mixed-effect models. Multivariable Cox proportional hazards models were used to identify individual cardiac parameters associated with the composite renal outcome (≥50% decline in estimated glomerular filtration rate relative to baseline, development of end-stage renal disease, or death attributable to renal causes), after adjusting for covariates. RESULTS: Among 1097 patients (mean age 74±8 years and 53% women), over a median follow-up of 2.9 years, 28 composite renal events (0.9 per 100 person-years) occurred. Higher left ventricular (LV) mass index and higher E/average e' ratio were associated with significantly more profound annual decline in estimated glomerular filtration rate (for both, -0.4 [95% CI, -0.7 to -0.1] mL/min/1.73 m2/y per 1 higher SD). Higher LV mass index, LV end-diastolic volume index, right ventricular end-diastolic area, and a lower right ventricular fractional area change were each associated with a significantly higher risk for the composite renal outcome. CONCLUSIONS: In the PARAGON-HF echocardiographic substudy, higher LV mass and filling pressures were independently associated with more profound kidney function decline, and higher LV mass and volume, as well as impaired right ventricular structure and function, were each associated with renal events. Assessing these parameters may help identify patients with heart failure with preserved ejection fraction at higher risk for adverse renal events and indicate potential therapeutic targets. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT01920711.

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BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous syndrome that may emerge from overlapping systemic processes associated with comorbidities. We assessed whether unique clusters of circulating proteins are associated with specific clinical characteristics and functional status at baseline and follow-up in a well-phenotyped cohort of patients with HFpEF. METHODS: We evaluated 368 proteins associated with cardiovascular disease and inflammation in prerandomization blood samples from 763 VITALITY-HFpEF (Vericiguat to Improve Physical Functioning in Daily Living Activities of Patients With HFpEF) participants who had a left ventricular ejection fraction ≥45% and a heart failure decompensation event within 6 months. Proteins were clustered, and their associations with clinical characteristics, baseline, and 24-week functional outcomes (Kansas City Cardiomyopathy Questionnaire Physical Limitation Score, 6-minute walk distance [6MWD], and Fried frailty phenotype) were estimated with linear regression. Elastic net regression was used to derive a proteomic summary composite to predict changes in 24-week functional outcomes. RESULTS: Four unique protein clusters were identified, containing 24, 66, 197, and 81 proteins. At baseline, 2 protein clusters with the hub proteins caspase-3 and Dickkopf-related protein 1 were associated with increased frailty, whereas the cluster with tumor necrosis factor receptor 1 as a hub protein was associated with lower Kansas City Cardiomyopathy Questionnaire Physical Limitation Score and shorter 6MWD. By contrast, the cluster with protein C as a hub protein was associated with less frailty and longer a 6MWD. The 24-week increase in 6MWD was negatively correlated with the protein cluster with caspase-3; the protein C cluster was correlated with less frailty at 24 weeks. The baseline proteomic summary composite predicted observed changes in Kansas City Cardiomyopathy Questionnaire Physical Limitation Score and 6MWD at 24 weeks (r=0.42 and 0.30; P<0.001 for both). CONCLUSIONS: Proteomics differentiate specific baseline functional traits associated with HFpEF and may facilitate phenotyping in a heterogeneous disease. These proteins also provide insights into the diverse pathophysiology of HFpEF and which patients may improve functional status during follow-up. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT03547583.

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INTRODUCTION: Persons with diabetes are at risk for developing a cardiomyopathy through several pathophysiological mechanisms independent of traditional risk factors for heart failure. Among those with diabetic cardiomyopathy (DbCM), the relationship between natriuretic peptides, cardiac structural abnormalities and functional capacity is largely unknown. METHODS: In this prespecified subgroup analysis of the Aldose Reductase Inhibition for Stabilization of Exercise Capacity in Heart Failure (ARISE-HF) trial, 685 participants with asymptomatic DbCM underwent baseline echocardiography data, laboratory investigations, and functional assessments. Participants were stratified by N-terminal pro-B type natriuretic peptide (NT-proBNP) quartiles, and correlation with echocardiographic and functional parameters were assessed using Spearman correlation test. RESULTS: The median NT-proBNP was 71 (Q1, Q3: 33, 135) ng/L. No association was observed between NT-proBNP concentrations and echocardiographic parameters of either diastolic or systolic dysfunction including global longitudinal strain, left ventricular ejection fraction, left ventricular mass index, left atrial volume index, E/E', or right ventricular systolic pressure. In contrast, NT-proBNP was significantly correlated with overall Kansas City Cardiomyopathy Questionnaire score (rho = - 0.10; p = 0.007), the Physical Activity Scale in the Elderly (rho = - 0.12; p = 0.004), duration of cardiopulmonary exercise testing (rho = - 0.28; p < 0.001), peak VO2 (rho = - 0.26; p < 0.001), and ratio of minute ventilation/carbon dioxide production (rho = 0.12; p = 0.002). After adjustment for known confounders, the correlation with Physical Activity Scale in the Elderly and overall Kansas City Cardiomyopathy Questionnaire score was no longer significant. CONCLUSION: Among patients with subclinical DbCM, elevated NT-proBNP concentrations are associated with worse health status, lower activity levels, and reduced functional capacity, but not with cardiac structural abnormalities. These findings suggest that regardless of cardiac structural abnormalities, biomarker concentrations reflect important deterioration in functional capacity in affected individuals. TRIAL REGISTRATION: ARISE-HF, NCT04083339 Date Registered August 23, 2019.

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Heart failure with preserved ejection fraction (HFpEF) accounts for nearly half of all heart failure cases and has a prevalence that is expected to rise with the growing ageing population. HFpEF is associated with significant morbidity and mortality. Specific HFpEF risk factors include age, diabetes, hypertension, obesity and atrial fibrillation. Haemodynamic contributions to HFpEF include changes in left ventricular structure, diastolic and systolic dysfunction, left atrial myopathy, pulmonary hypertension, right ventricular dysfunction, chronotropic incompetence, and vascular dysfunction. Inflammation, fibrosis, impaired nitric oxide signalling, sarcomere dysfunction, and mitochondrial and metabolic defects contribute to the cellular and molecular changes observed in HFpEF. HFpEF impacts multiple organ systems beyond the heart, including the skeletal muscle, peripheral vasculature, lungs, kidneys and brain. The diagnosis of HFpEF can be made in individuals with signs and symptoms of heart failure with abnormality in natriuretic peptide levels or evidence of cardiopulmonary congestion, facilitated by the use of HFpEF risk scores and additional imaging and testing with the exclusion of HFpEF mimics. Management includes initiation of guideline-directed medical therapy and management of comorbidities. Given the significant impact of HFpEF on quality of life, future research efforts should include a particular focus on how patients can live better with this disease.

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Direct oral anticoagulants have a dose-dependent increased bleeding risk which limits use in certain populations. Studies in both animals and humans with inherited variations in factor XI levels provide a theoretical basis for a drug target capable of addressing current unmet needs. Milvexian is an oral factor XIa inhibitor that has the potential to provide robust anticoagulant effect without increased bleeding compared with current standard of care. Several key studies in the preclinical, phase I, and phase II stages have reported promising safety data in venous thromboembolism and stroke prevention without compromising hemostasis. The planned phase III trials will examine the efficacy of milvexian for prevention of thrombotic events in patients with acute stroke, acute coronary syndrome, and atrial fibrillation.

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BACKGROUND: Considering the high prevalence of mitral regurgitation (MR) and the highly subjective, variable MR severity reporting, an automated tool that could screen patients for clinically significant MR (≥ moderate) would streamline the diagnostic/therapeutic pathways and ultimately improve patient outcomes. OBJECTIVES: The authors aimed to develop and validate a fully automated machine learning (ML)-based echocardiography workflow for grading MR severity. METHODS: ML algorithms were trained on echocardiograms from 2 observational cohorts and validated in patients from 2 additional independent studies. Multiparametric echocardiography core laboratory MR assessment served as ground truth. The machine was trained to measure 16 MR-related parameters. Multiple ML models were developed to find the optimal parameters and preferred ML model for MR severity grading. RESULTS: The preferred ML model used 9 parameters. Image analysis was feasible in 99.3% of cases and took 80 ± 5 seconds per case. The accuracy for grading MR severity (none to severe) was 0.80, and for significant (moderate or severe) vs nonsignificant MR was 0.97 with a sensitivity of 0.96 and specificity of 0.98. The model performed similarly in cases of eccentric and central MR. Patients graded as having severe MR had higher 1-year mortality (adjusted HR: 5.20 [95% CI: 1.24-21.9]; P = 0.025 compared with mild). CONCLUSIONS: An automated multiparametric ML model for grading MR severity is feasible, fast, highly accurate, and predicts 1-year mortality. Its implementation in clinical practice could improve patient care by facilitating referral to specialized clinics and access to evidence-based therapies while improving quality and efficiency in the echocardiography laboratory.

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This Viewpoint discusses the potential challenges to the operational conduct of clinical trials in the Asia-Pacific region, where there is a high rate of cardiovascular disease, and provides possible solutions.

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