AlHammouri, Hashim M.

Abstract Aims Obesity, particularly visceral adiposity, is a key driver of cardiovascular mortality (CVM), yet conventional measures such as body mass index (BMI) inadequately capture fat distribution. The Body Roundness Index (BRI) is a novel anthropometric measure integrating waist circumference and height to better reflect body shape and visceral fat. This study examined the association between BRI and CVM in U.S. adults and across sociodemographic subgroups. Methods and results We analysed data from 31 351 adults (median age 43 yrs, 50% females) aged ≥20 years in NHANES 1999–2018, excluding those with prior cardiovascular disease or cancer. BRI was computed using a validated equation and categorized into quintiles (Q3 as reference). The primary outcome was CVM; secondary outcomes included all-cause, heart disease, and cerebrovascular mortality. Weighted Cox proportional hazards and restricted cubic spline (RCS) models evaluated associations after adjustment for demographic, behavioural, and clinical factors. Subgroup and sensitivity analyses tested consistency and effect modification. During a median follow-up of 10.1 years (IQR: 5.3–14.9 years), 883 cardiovascular deaths occurred. In fully adjusted models, participants in the highest BRI quintile had a 54% higher risk of CVM (HR, 1.54; 95% CI, 1.13–2.08; P = 0.006) vs. Q3. This risk remained high even among those with normal BMI. RCS analysis indicated a modest U-shaped association. Stronger effects were observed among middle-aged adults (45–64 years) and those with higher educational attainment. Conclusion Higher BRI is independently associated with increased cardiovascular mortality, particularly among middle aged adults and those with normal BMI, underscoring its potential as a practical, noninvasive tool for cardiovascular risk stratification. Incorporating BRI into clinical and public health assessment may improve identification of individuals at elevated risk.

Introduction: Sex-based differences in outcomes among patients with heart failure with reduced ejection fraction (HFrEF) treated with sodium-glucose cotransporter 2 inhibitors (SGLT2is) remain underexplored. This study aimed to evaluate sex-specific differences in cardiovascular outcomes in patients with HFrEF receiving SGLT2 inhibitors alongside guidelinedirected medical therapy (GDMT). Methods: We conducted a retrospective cohort study using the TriNetX global research network. Adults with HFrEF treated with SGLT2is and GDMT were stratified by sex. Propensity score matching (PSM) was used to balance baseline demographics, comorbidities, medications, and laboratory data. Primary outcomes were all-cause mortality and acute heart failure (HF) events; secondary outcomes included hospitalizations, arrhythmias, renal outcomes, and advanced therapies. Results: After PSM, 17,408 male and 17,408 female patients were analyzed. Male patients had lower odds of acute HF events (aOR: 0.949; 95% CI: 0.909–0.991), all-cause hospitalizations (aOR: 0.933; 95% CI: 0.895–0.973), and renal failure (aOR: 0.915; 95% CI: 0.870–0.962). No significant differences were observed in all-cause mortality (aOR: 1.003; 95% CI: 0.926–1.087) or heart transplantation, although LVAD use was more frequent in males (aOR: 1.416; 95% CI: 1.053–1.905). Discussion: The findings highlighted potential sex-based disparities in outcomes for patients with HFrEF on SGLT2is. Differential prescribing patterns, comorbidity burden, or timing of therapy initiation may contribute to observed differences. Conclusion: Among HFrEF patients treated with SGLT2is, males experienced lower risks of HF events, hospitalizations, and renal failure compared to females, despite similar mortality. Further research is needed to understand and address sex-specific disparities in HFrEF management.

Advances in plaque imaging have transformed cardiovascular diagnostics through detailed characterization of atherosclerotic plaques beyond traditional stenosis assessment. This review outlines the clinical applications of varying modalities, including dual-layer spectral CT, photon-counting CT, dual-energy CT, and CT-derived fractional flow reserve (CT-FFR). These technologies offer improved spatial resolution, tissue differentiation, and functional assessment of coronary lesions. Additionally, artificial intelligence has emerged as a powerful tool to automate plaque detection, quantify burden, and refine risk prediction. Collectively, these innovations provide a more comprehensive approach to coronary artery disease evaluation and support personalized management strategies.