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PubMed2026

Longitudinal associations between family factors and the neurodevelopmental and psychosocial outcomes of children with congenital heart disease: A systematic review.

Family factors have been gaining increased attention in understanding adverse neurodevelopmental and psychosocial outcomes for children with congenital heart disease (CHD). To clarify relevance, we undertook a systematic review of only longitudinal studies which assessed such associations. Comparisons with the contribution of disease/surgical factors were also made where included studies considered such. We included longitudinal studies which assessed dynamic family factors (e.g. parent mental health, attachment, family functioning) and later child outcomes. Searches were conducted across CINAHL, Medline-Pubmed, PsychInfo and SCOPUS Web of Science. The NIH Quality Assessment Tool was used to evaluate study quality and risk of bias. Eighteen studies, utilizing data from 11 study samples and 2109 participants, met inclusion criteria. These studies included samples from infancy, with follow-up periods stretching into young adulthood, and with various degrees of CHD severity. The quality of studies was "good" to "fair", with key limitations of attrition and limited sociocultural diversity in samples. Findings suggested that family factors predicted later child psychosocial outcomes and more consistently than severity of disease indicators. This contrasted with a much smaller number of studies examining family factors and child neurodevelopmental outcomes, where no reliable conclusions could be reached. Findings highlight the importance of screening and family focused interventions for this population.

Child↗
PubMed2026

Endocrine-disrupting chemical-induced gene networks confer coronary heart disease risk revealed by causal inference and single-cell analyses.

BACKGROUND: Endocrine-disrupting chemicals (EDCs) are linked to coronary heart disease (CHD), but underlying mechanisms remain unclear. We aimed to identify EDC-related genes and evaluate their causal roles in CHD. METHODS: We curated EDC-related genes from a compound-gene interaction database and integrated them with CHD genome-wide association study (GWAS) summary statistics and tissue-specific expression quantitative trait loci (eQTL) data. Two-sample Mendelian randomization (MR) and Bayesian colocalization were applied to infer causality. Functional enrichment, single-cell RNA sequencing of human coronary arteries, and EDC-gene networks were further analyzed. RESULTS: After FDR correction, 39 genes were significantly associated with CHD risk via MR. Four genes-ZNF827, FCHO1, IPO9 (protective), and RPL13 (risk-increasing)-showed strong colocalization (PPH4 > 0.9). Pathway and single-cell analyses of coronary artery tissue indicated that vascular and immune pathways mediate these effects. An interaction network highlighted associations between specific EDCs and candidate genes implicated in CHD susceptibility. CONCLUSION: This integrative genomic study provides evidence that EDCs influence CHD susceptibility through distinct gene networks, revealing potential mechanisms and molecular targets for prevention and therapy.

Humans↗
PubMed2026

Nurse-Led Home-Based Mobile Health Cardiac Rehabilitation Program for Patients With Chronic Heart Failure: A Randomized Controlled Trial.

This 12-week randomized controlled trial evaluated a nurse-led mHealth intervention for patients with chronic heart failure, conceptually informed by Riegel's middle-range theory of self-care of chronic illness. The program integrated wearable activity tracking with weekly nurse-led behavioral coaching, reflecting the core self-care processes of monitoring, maintenance, and management. Compared with usual care, the intervention significantly improved daily step count, 6-minute walk distance, metabolic equivalents, and left ventricular ejection fraction. Findings highlight the effectiveness of theory-informed, nurse-delivered mHealth strategies in enhancing physical activity and cardiopulmonary function, while underscoring the critical role of advanced practice nurses in home-based chronic disease management.

Aged↗
PubMed2026

Efficacy and safety of human albumin combined with furosemide in acute decompensated heart failure with hepatic dysfunction.

BACKGROUND: Congestion is the most common clinical presentation on admission of patients with acute decompensated heart failure (ADHF). Finding effective ways to alleviate congestion has become a pivotal management step. This study sought to investigate the efficacy and safety of intravenous (IV) albumin use in conjunction with furosemide in patients hospitalized for ADHF with hepatic dysfunction in terms of subjective regression of congestion symptoms and worsening renal function. METHODS: This prospective, open-label, randomized-pragmatic trial recruited 241 patients with hepatic dysfunction hospitalized for ADHF. Patients (78 years, 54% female) were assigned to receive IV albumin with furosemide or IV furosemide alone. The coprimary study endpoints were patients' global assessment of symptoms score, quantified as the area under the curve (AUC) of the score on a visual analog scale, and the change in creatinine levels over 72 hours from admission. RESULTS: The experimental treatment group demonstrated a greater improvement in patients' global assessment of symptoms scores (AUCbaseline-72 h 3,767 vs 3,457 points; P < .001) and a milder increase in creatinine levels (0.07 vs 0.18 mg/dL; P = .045) than the IV furosemide group. The length of stay was 1 day shorter (4 vs 5 days; P < .001) and the incidence of worsening renal function was lower (25% vs 38%; P = .037) in the experimental treatment group. CONCLUSIONS: In this hypothesis generating study, among patients with ADHF and hepatic dysfunction, concomitant use of IV albumin and furosemide for the first 72 hours resulted in a significant improvement in subjective perception symptoms of decongestion and a milder increase in creatinine levels than IV furosemide alone.

Aged↗
PubMed2026

Future promise, current clinical ambiguity: a systematic review of machine learning algorithm outputs predicting risk of cardiovascular disease.

OBJECTIVE: To examine whether the outputs of machine learning algorithms designed to predict risk of cardiovascular disease (CVD) address known deficiencies of the Framingham Risk Score (FRS) and improve risk estimates. METHODS: For this critical review, Medline, Embase and IEEE were searched from inception to 1 January 2025. Included were studies describing machine learning algorithms designed to specifically compare output of cardiovascular risk assessment with the FRS. Commentaries, letters, unpublished work or non-peer-reviewed papers were excluded.Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, two reviewers screened titles and abstracts independently, then populated a purpose-built data extraction form. A subsequent qualitative thematic analysis focused on algorithms' strengths, added value, potential harms, unintended consequences and equity implications.The main outcome assessed was whether, among healthy adults, the algorithm improved CVD risk prediction relative to the FRS. RESULTS: Of 707 studies retrieved, 29 met inclusion criteria. 23 reported improved predictive ability relative to the FRS. Most datasets and/or medical records used included sociodemographic predictors of CVD not included among FRS inputs. Some added costly diagnostic tests like CT angiography to FRS screening indicators. When they were defined, inputs and outcomes such as hypertension or myocardial infarction did not always adhere to FRS values. Statistical significance was generally taken as a proxy for clinical significance. Some algorithms overestimated the number at risk compared with the FRS without discussing whether that larger proportion might be at risk of overdiagnosis rather than CVD, while a few decreased the proportion found to be at risk. CONCLUSIONS: Use of artificial intelligence to improve accuracy of risk assessment for CVD demonstrates the technological capacity to merge known sociodemographic predictors with biologic variables and examine non-linear interactions among these. Still needed to achieve patient benefit is clinical insight, adherence to screening principles and cost-benefit assessment of inputs selected.

Humans↗
PubMed2026

Cardiovascular Drug Access in Australia and New Zealand: New PBS and PHARMAC Listings, 2023-2025.

BACKGROUND: Cardiovascular disease is a leading cause of death in Australia and New Zealand. Publicly subsidised access to new cardiovascular medications is governed by the PBS (Pharmaceutical Benefits Scheme) in Australia and PHARMAC (Pharmaceutical Management Agency) in New Zealand, yet no consolidated resource catalogues recent listings across both jurisdictions. METHODS: We reviewed all new cardiovascular drug listings and indications on the PBS and PHARMAC schedules from 1 January 2023 to 31 December 2025. PBS data were obtained from the PBS Pricing and Policy Branch through the Cardiac Society for Australia and New Zealand. PHARMAC data were obtained via direct communication with PHARMAC and cross-referenced with public schedule information. Pivotal trial evidence, restriction criteria, and prescribing considerations were extracted from published literature and regulatory documents. RESULTS: Five new cardiovascular drugs were PBS-listed (inclisiran, mavacamten, tafamidis, icosapent ethyl and migalastat), two existing drugs received new cardiovascular indications (empagliflozin and dapagliflozin for heart failure with preserved ejection fraction) and prasugrel was relisted for acute coronary syndrome. One major change occurred on the PHARMAC schedule (empagliflozin for heart failure with reduced ejection fraction). CONCLUSIONS: The 2023-2025 period has seen notable additions to cardiovascular pharmacotherapy in Australia, including the first cardiac myosin inhibitor, the first transthyretin stabiliser, expanded lipid lowering therapy options, and extension of SGLT2 inhibitor coverage across the heart failure ejection fraction spectrum. A pronounced access disparity persists between Australia and New Zealand.

New Zealand↗
PubMed2026

Effects of Sacubitril Valsartan Combined With Vericiguat on NT-proBNP and CK-MB Levels in Patients With Chronic Heart Failure.

This study aims to probe the influence of sacubitril valsartan sodium tablets combined with vericiguat on N-terminal pro-B-type natriuretic peptide (NT-proBNP) and creatine kinase isoenzyme (CK-MB) levels in patients with chronic heart failure (CHF). One hundred and twenty CHF patients were enrolled and stratified into a control group (sacubitril valsartan sodium tablets) and a combination group (sacubitril valsartan sodium tablets&#x2009;+&#x2009;vericiguat). Outcome measures included New York Heart Association (NYHA) functional class shifts, echocardiographic indices, cardiac injury markers, 6-min walk distance (6MWD), endothelial function parameters, inflammatory mediator levels, and adverse clinical events. Following a 6-month treatment period, patients in the combination group exhibited superior functional improvement, as reflected by greater advancement in NYHA class. Echocardiographic evaluation revealed more favorable ventricular remodeling in this group, with reduced left ventricular end-diastolic and end-systolic diameters and an elevated ejection fraction. The combination group had a higher 6MWD. Biomarker analysis showed lower NT-proBNP and CK-MB levels in the combination group. Furthermore, improvements in endothelial function were noted, with decreased endothelin and elevated NO, NOS, and CGRP levels in the combination group. Markers of systemic inflammation, including CRP and IL-6, were also attenuated in the combination group. The incidence of adverse reactions and cardiovascular events did not differ significantly between the groups. Co-administration of sacubitril/valsartan and vericiguat enhances cardiac performance, optimizes vascular endothelial responsiveness, modulates heart failure-related biomarkers, and mitigates inflammatory activity in patients with CHF without increasing the risk of adverse events.

Humans↗
PubMed2026

Joint association of sedentary behaviour and physical activity with cardiovascular disease: a systematic review and meta-analysis.

This systematic review and meta-analysis of cohort studies aimed to synthesize existing evidence on the joint association of physical activity (PA) and sedentary behaviour (SB) with cardiovascular disease (CVD) risk among adults. We searched PubMed, EMBASE, and Cochrane for English studies published between January 2010 and February 2025 that examined the joint association of PA and SB (fatal and non-fatal) CVD among adults and pooled their results through meta-analyses using study-level data. Using findings from 17 studies, the pooled effect size for the lowest PA + highest SB group was 1.78 (95% CI: 1.59-2.00), suggesting increased risk for CVD compared with the reference group (i.e. highest PA + lowest SB). Compared with the same reference group, we found an increased risk for CVD in the lowest PA + lowest SB (HR = 1.25, 95% CI: 1.12-1.40) and the highest PA + highest SB (HR = 1.16, 95% CI: 1.06-1.27) groups. Subgroup analyses according to domains or types of PA and SB exposure, outcome measures, and exposure measurement method revealed a similar pattern. In conclusion, individuals with the lowest PA combined with the highest SB may experience an increased risk for CVD events compared with those with the highest PA and lowest SB. There was also an increased risk for individuals with a combination of either low PA + low SB and high PA + high SB, albeit to a lesser extent. Although substantial study-level heterogeneity exists, the results highlight the potential value of considering both behaviours jointly in relation to CVD risk.

Humans↗
PubMed2026

Construction of precision clinical-proteomics risk model based on machine learning for predicting heart failure in type II diabetes mellitus.

BACKGROUND AND AIMS: Heart failure (HF) is a severe complication in type 2 diabetes mellitus (T2DM), but current risk stratification scores have limited predictive accuracy. We aimed to develop novel prediction tools integrating clinical variables with proteomics to improve risk stratification of hospitalization for HF in T2DM. METHODS AND RESULTS: In this study, we included 2111 UK Biobank participants with T2DM but no prior HF, and profiled 2920 proteins to predict 10-year incident HF hospitalization. Participants were randomly divided into training (70%), tuning (10%), and validation (20%) sets.Three prediction models were developed: a Clinical model based on demographic characteristics, comorbidities, medication use, and laboratory indices; a Protein model based on 40 proteins selected by the Light Gradient Boosting Machine (LGBM); and the Clinical OMics and Protein ASSessment for Heart Failure (COMPASS-HF) model, which integrated both clinical variables and the LGBM-selected proteins. Models were evaluated for area under the curve (AUC), sensitivity, and specificity. During follow-up, 168 participants (7.96%) developed incident HF. The COMPASS-HF model showed better discrimination than the Clinical model, with an AUC of 0.897 (95% CI: 0.850-0.945) versus 0.790 (95% CI: 0.723-0.856). It also demonstrated higher sensitivity (0.882; 95% CI: 0.725-0.967) and consistent performance in subgroups. COMPASS-HF effectively stratified risk of hospitalization for HF, with cumulative incidence rates of 31.9% in the high-risk group and 1.2% in the low-risk group. CONCLUSIONS: By combining clinical and proteomic variables, we developed a high-performance HF prediction model for T2DM, enabling precise risk stratification and informing early intervention strategies.

Humans↗
PubMed2026

Impact of adenosine in controlled aortic root reperfusion on clinical outcomes among patients undergoing valvular heart surgery.

BACKGROUND: Adenosine is a vital medication in cardiac surgery, particularly in valvular heart procedures. While its use has been linked to improved postoperative cardiac function in some studies, there remains significant uncertainty regarding the adenosine usage in aortic reperfusion phase. This lack of consensus poses challenges for surgeons, perfusionists, and anesthesiologists alike. This study aims to explore the impact of adenosine on clinical outcomes in patients undergoing valvular heart surgery. METHOD: This prospective randomized controlled trial was conducted over a three-month period. Sixty patients undergoing valvular heart surgery were enrolled using a continuous sampling method and randomly allocated into two equal groups of 30 patients each. The intervention group received adenosine-enriched aortic root reperfusion immediately prior to aortic declamping, while the control group underwent standard warm blood aortic root reperfusion. Both groups were matched for demographic and clinical characteristics to ensure comparability. RESULTS: Results indicated no significant differences in mean cardiopulmonary bypass (CPB) time, aortic cross-clamping duration, or mechanical ventilation between the intervention and control groups. However, the intervention group that received adenosine had a higher rate of antiarrhythmic agent usage in the operating room (P&#xa0;<&#xa0;0.05). Inotropic agent usage was similar in both groups during surgery and in the ICU. Additionally, laboratory parameters on the first day of ICU admission were comparable between groups. CONCLUSION: Results in the control group showed more favorable outcomes in terms of anti-arrhythmic drug usage, electroshock application, and arrhythmia prevalence. This study showed advantages for the standard warm blood aortic root reperfusion technique in managing post-operative cardiac rhythm disturbances, in comparison with the trial group.

Humans↗
PubMed2026

Impact of estimated total blood volume on NT-proBNP response to angiotensin receptor-neprilysin inhibition in acute heart failure: Insights from the PREMIER study.

BACKGROUND: Sacubitril/valsartan (Sac/Val) reduces N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels in acute heart failure (AHF), particularly in patients with reduced ejection fraction. However, whether estimated total blood volume (TBV), calculated using anthropometric equations, is associated with heterogeneity in biomarker response remains uncertain. METHODS: This post hoc exploratory sub-analysis of the PREMIER randomized trial evaluated whether baseline estimated TBV was associated with heterogeneity in NT-proBNP reduction after Sac/Val compared with angiotensin-converting enzyme inhibitor/angiotensin receptor blocker (ACEI/ARB) therapy. Estimated TBV was calculated using validated anthropometric equations and dichotomized at the median (4.05 L). Patients were further stratified by left ventricular ejection fraction (LVEF <40% vs &#x2265;40%). The primary endpoint was the proportional change in NT-proBNP from baseline to Week 8. RESULTS: Among 376 patients, 372 with baseline estimated TBV data were analyzed. In the high TBV group, Sac/Val was associated with greater NT-proBNP reduction than ACEI/ARB (-56% vs -32%; ratio of change, 0.67; 95% confidence interval, 0.53-0.84; P = .001), whereas no significant difference was observed in the low TBV group (P for heterogeneity = 0.063). In patients with LVEF <40%, Sac/Val was associated with greater NT-proBNP reduction in both TBV groups. In patients with LVEF &#x2265;40%, Sac/Val was associated with greater NT-proBNP reduction in the high TBV group, whereas the point estimate in the low TBV group numerically favored ACEI/ARB. CONCLUSIONS: In this exploratory post hoc analysis, higher estimated TBV was associated with greater NT-proBNP reduction after Sac/Val, particularly among patients with LVEF &#x2265;40%. These findings are hypothesis-generating and require external validation. TRIAL REGISTRATION: ClinicalTrials.gov, NCT05164653; Japan Registry of Clinical Trials, jRCTs021210046.

Humans↗
PubMed2026

Genetic overlap between estimated glomerular filtration rate and cardiovascular disease identifies potential targets for cardiorenal syndrome.

Heart and kidney diseases frequently coexist, but the genetic basis of this relationship remains unclear. We analyzed genetic data from large-scale studies to investigate how kidney function (estimated glomerular filtration rate, eGFR) and six common cardiovascular diseases share genetic risk factors. Using MiXeR method, and conjunctional false discovery rate (conjFDR) to identify overlapping genetic regions, we found 478 shared genomic loci between eGFR and cardiovascular diseases. These shared genes are involved in tissue development and structure. We also identified 29 genes that could be targeted by existing medications approved by the US Food and Drug Administration, such as PRKAG2, PDE1A, and IGF1R. Among these, genetically predicted higher level of IGF1R expression is associated with a higher eGFR, which reflects good kidney function and is protective against cardiorenal diseases, such as atrial fibrillation, and myocardial infarction. These findings reveal genetic overlap between kidney function and cardiovascular diseases, highlighting potential targets for understanding and treating cardiorenal syndrome.

Humans↗
PubMed2026

Empagliflozin and functional aerobic capacity in individuals with increased risk of heart failure: The Empire Prevent Cardiac trial.

BACKGROUND: Higher maximal oxygen consumption (VO&#x2082; max) is associated with lower risk of developing heart failure (HF). Empagliflozin improves VO2 max in HF with reduced ejection fraction, but the effect on VO2 max in individuals at risk of HF remain unknown. OBJECTIVE: This study aimed to evaluate the effect of 180 days treatment with empagliflozin compared to placebo on VO2 max, daily physical activity level, and quality of life (QoL) in individuals with overweight or obesity and risk of HF. METHOD: This investigator-initiated, double-blinded, randomized, placebo-controlled, multicenter trial included elderly individuals with body mass index >28 kg/m2 and at least one additional risk factor for HF, including hypertension, ischemic heart disease, stroke, or chronic kidney disease. Individuals with HF or type 2 diabetes mellitus were excluded. The primary endpoint was the mean difference in change of VO2 max. The secondary outcome was objectively measured physical activity level. QoL was an explorative outcome. RESULTS: Among 191 randomized individuals (94 empagliflozin, 97 placebo), 89% had hypertension and 66% ischemic heart disease. At baseline, 69% were male, median age was 68 years, median body mass index 31.9 kg/m&#xb2;, mean left ventricular ejection fraction 65 &#xb1; 9%, and mean VO&#x2082; max 18.1 &#xb1; 4.3 mL/min/kg. Empagliflozin did not change VO2 max with an estimated treatment difference of -0.2 mL/min/kg (97.5% confidence interval -1.2 to 0.8), adjusted P = 1.00. No significant treatment differences were observed for neither daily physical activity nor QoL. CONCLUSIONS: Empagliflozin did not affect VO2 max, physical activity level, or QoL in elderly individuals with overweight or obesity and risk of HF.

Humans↗
PubMed2026

New Evidence in Heart Failure: 2026 Update.

Heart failure (HF) remains a major cause of morbidity, mortality, impaired quality of life and healthcare expenditure worldwide. The global burden of HF continues to increase due to population aging, improved survival, and the growing prevalence of cardiovascular, renal, and metabolic comorbidities. Simultaneously, the pace of scientific progress in HF has accelerated considerably. Recent advances have refined our understanding of HF epidemiology, prognosis, and disease trajectories, including emerging concepts of HF improvement, remission, and recovery. The Second Universal Definition of HF has also updated the classification framework, moving beyond the traditional ejection fraction-based categories. HF is now broadly classified into two major phenotypes: heart failure with reduced ejection fraction (HFrEF) and heart failure with preserved ejection fraction (HFpEF). Novel mechanistic insights highlight the role of inflammation, immune activation, metabolic dysfunction, mitochondrial biology, and multisystem interactions in HF progression. There has also been significant progress in the characterization and management of major comorbidities, including chronic kidney disease (CKD), diabetes, obesity, atrial fibrillation (AF), pulmonary hypertension, frailty, malnutrition, and cancer. Diagnostic innovations include novel biomarkers, multi-omics technologies, artificial intelligence-based approaches, advanced imaging techniques, congestion assessment tools, and emerging digital health solutions. Important advances have occurred in specific HF aetiologies, including cardiomyopathies, cardiac amyloidosis (CA), myocarditis, arrhythmia-induced cardiomyopathy (AiCM), and Chagas cardiomyopathy. Therapeutic developments continue to reshape HF management across the spectrum of left ventricular ejection fraction. Recent evidence has focused on optimization of guideline-directed medical therapy in HFrEF, expansion of evidence-based therapies in HFpEF, and growing roles for sodium-glucose cotransporter-2 inhibitors, finerenone, incretin-based therapies, and transcatheter valve interventions. Collectively, these advances support the transition from a predominantly phenotype-based approach towards a more personalized and biologically informed model of HF care, with the potential to further improve outcomes across the entire HF spectrum.

Journal Article↗
PubMed2026

Prognostic value of early changes in the frontal QRS-T angle in patients with heart failure and left bundle branch block undergoing cardiac resynchronization therapy.

BACKGROUND: Cardiac resynchronization therapy (CRT) reduces morbidity and mortality in selected patients with heart failure (HF). The frontal QRS-T angle (FQTA), reflecting ventricular depolarization-repolarization heterogeneity, has been associated with major adverse cardiovascular events (MACE). We aimed to assess the prognostic value of changes in the FQTA after CRT in predicting long-term MACE. METHODS: A total of 223 consecutive HF patients with left bundle branch block who underwent CRT between 2018 and 2022 were retrospectively analyzed. The FQTA was measured before and after CRT, and the change (&#x394;FQTA) was calculated. Receiver operating characteristic (ROC) analysis was performed to determine the optimal cutoff value for predicting the primary outcome, MACE. Patients were subsequently stratified according to this cutoff value. Independent predictors were identified using multivariable Cox proportional hazards regression analysis. RESULTS: ROC analysis identified 22.5&#xb0; as the optimal cutoff value for predicting MACE (AUC: 0.711; 95% CI: 0.642-0.781; p&#xa0;<&#xa0;0.001). During a mean follow-up of 34.6&#xa0;&#xb1;&#xa0;17.6&#xa0;months, patients with &#x394;FQTA <22.5&#xb0; had a significantly higher incidence of MACE compared with those with greater angle reduction (44.7% vs. 11.9%; p&#xa0;<&#xa0;0.001). In multivariable Cox regression analysis, chronic kidney disease (HR: 2.517; p&#xa0;=&#xa0;0.002) and &#x394;FQTA <22.5&#xb0; (HR: 4.56; p&#xa0;<&#xa0;0.001) were independently associated with MACE. CONCLUSION: A greater reduction in FQTA after CRT is associated with improved long-term outcomes and may serve as a practical electrocardiographic marker for risk stratification.

Humans↗
PubMed2026

Rationale, design, and experiences from the vanguard phase of the bariatric surgery for the reduction of cardiovascular events (BRAVE) trial.

BACKGROUND: Observational studies suggest that metabolic/bariatric surgery (MBS) reduces mortality and major adverse cardiovascular events in patients with obesity, but adequately powered randomized trials (RCTs) are lacking. The Bariatric Surgery for the Reduction of Cardiovascular Events (BRAVE) trial was designed to address this evidence gap. METHODS: BRAVE is an investigator-initiated, multi-center, open-label RCT with blinded endpoint adjudication comparing MBS vs guideline-based medical weight management (MWM) in adults with obesity and high-risk cardiovascular disease (CVD). Eligible participants have a body-mass index &#x2265;35 kg/m&#xb2; or &#x2265;30 kg/m&#xb2; with type 2 diabetes or age >55 years, and prior myocardial infarction (MI), coronary intervention, heart failure (HF), atrial fibrillation (AF) with elevated CHA&#x2082;DS&#x2082;-VASc score, cerebrovascular disease, or peripheral arterial disease. Participants are randomized 1:1 to MBS (sleeve gastrectomy, Roux-en-Y gastric bypass, or duodenal switch) or MWM, which includes dietary, behavioral, and pharmacologic therapies. The primary outcome is the composite of all-cause death, MI, stroke, HF events, coronary revascularization, AF hospitalization, and renal events. A vanguard phase of 200 participants was implemented to optimize recruitment and logistics. RESULTS: As of October 2025, 2,514 individuals have been screened from 17 centers in Canada, Brazil, Italy and Spain, with 444 entered MBS work-up, and 200 have been randomized. The randomized cohort (mean age 59.8 years; 37% female; mean BMI 44.0 kg m&#x207b;&#xb2;) has high burden of hypertension (82%), diabetes (45%), coronary artery disease (44%), HF (39%), and AF (48%). Recruitment barriers were identified and addressed through targeted education and enhanced patient engagement. CONCLUSIONS: BRAVE is the first large RCT evaluating whether MBS safely reduces major cardiovascular events compared with medical therapy in high-risk patients with obesity. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT05531474.

Humans↗
PubMed2026

A polygenic risk score for peripheral artery disease and major adverse limb events.

BACKGROUND AND AIMS: Large-scale genome-wide association studies have identified common genetic variants that predict the risk of peripheral artery disease (PAD). This study assessed whether a polygenic risk score (PRS) is associated with PAD and the incidence of major adverse limb events (MALE) independent of clinical risk factors in patients with established cardiometabolic disease. METHODS: A genetic analysis was performed, pooling individual patient-level data from six TIMI trials. The association of a recently validated PAD PRS with prevalent PAD and the incidence of MALE (acute limb ischaemia, chronic limb-threatening ischaemia, major amputation, or peripheral revascularization) was assessed. RESULTS: A total of 68 816 patients were included in this analysis, with a median follow-up of 2.6 years. Of these, 5986 (8.7%) had known PAD at baseline. After adjusting for clinical risk factors, a higher PAD PRS was independently associated with a 15% greater odds of prevalent PAD (adjusted odds ratio per 1-SD: 1.15 [95% confidence interval 1.12-1.18], P < .0001), a magnitude of risk as strong as established clinical risk factors. A total of 577 patients experienced MALE during follow-up. A higher PAD PRS was associated with a 30% increased risk of MALE (adjusted hazard ratio per 1-SD: 1.30 [1.19-1.42], P < .0001). Adding the PAD PRS to clinical risk factors resulted in a statistically significant but modest improvement in discrimination (area under the curve went from 0.651 to 0.662 P < .0001). CONCLUSIONS: In a broad spectrum of patients with cardiometabolic disease, the PAD PRS is associated with an increased risk of PAD and the incidence of MALE beyond clinical risk factors; however, the improvement in discrimination was statistically significant but clinically modest.

Humans↗