Shahid, Izza

Background: Coronary heart disease (CHD) remains the leading cause of death in the United States, yet the benefits of modern cardiovascular care are not equitably distributed. Social determinants of health (SDoH), which includes economic stability, education, healthcare access, and neighborhood environment, may substantially shape outcomes among patients with CHD. Our study evaluates the joint association of SDoH burden and CHD with mortality outcomes. Methods: We analyzed adults ≥20 years from the National Health and Nutrition Examination Survey (NHANES) 2000–2018, linked with the National Death Index through 2018. Cumulative SDoH burden was derived from eight domains (employment, poverty-to-income ratio, food insecurity, education, healthcare access, insurance, housing, marital status), categorized as low (0–2), moderate (3–5), or high (6–8). Weighted Cox proportional hazards models estimated hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause and cardiovascular mortality by SDoH burden, stratified by CHD status, with sequential adjustment for demographic and cardiometabolic factors. Results: Among 49.3 million U.S. adults (mean age 46.1 ± 15.6 years; 44.8% female), 3.7% had CHD. Those with CHD were older (64.7 vs 45.4 years, p < 0.001), more often non-Hispanic White (94.2% vs 81.5%), and had greater waist circumference (106.1 vs 87.5 cm) but lower cholesterol (176 vs 202 mg/dL, p < 0.001). Participants with high SDoH burden had lower income and education. In weighted regression, higher SDoH burden and CHD were independently associated with greater all-cause and cardiovascular mortality. Fully adjusted models showed high SDoH burden tripled all-cause mortality risk (HR 3.00, p < 0.001), while CHD further amplified risk. Compared with low SDoH/no CHD, those with CHD and high SDoH burden had nearly a 14-fold higher all-cause mortality (HR 13.6, p < 0.001) and 17-fold higher cardiovascular mortality (HR 17.7, p < 0.001). Findings were consistent across sex, race, and metabolic subgroups, with mortality hazards often exceeding tenfold among those with both CHD and high SDoH burden. Conclusions: Cumulative SDoH burden is strongly and independently associated with mortality among adults with CHD, with evidence of a synergistic effect between biological and social vulnerability. These findings underscore the need for policies and interventions addressing upstream social inequities to improve survival in cardiovascular populations.

Background: Despite obesity being a major cardiovascular risk factor, studies in heart failure populations have reported an inverse association between body mass index and mortality—a phenomenon termed the "obesity paradox." However, the consistency and shape of this relationship across different HF phenotypes and clinical subgroups remain unclear. This meta-analysis aimed to quantify the dose-response relationship between BMI and mortality in HF patients and assess potential variations across subgroups. Hypothesis: Higher BMI is associated with reduced mortality in patients with heart failure, and that this relationship varies across clinical subgroups and U-shaped relationship. Methods: We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A search strategy was developed, and studies were extracted from Cochrane and PubMed databases through December 2023. The main outcomes were all-cause mortality, cardiovascular deaths, and heart failure hospitalizations. Data were summarized as hazard ratios with 95% confidence intervals, and a spline model was used to assess non-linear relationships, with 21.7 kg/m2 as the reference point in the dose-response curve. PROSPERO: CRD42023455124 Results: Thirty-three studies (457,124 person-years) showed that each 5 kg/m2 increase in BMI was significantly associated with a 6% reduction in all-cause mortality (HR 0.94; 95% CI 0.92–0.96). Significant reductions were observed in acute decompensated heart failure (7%), HFpEF (9%), HFrEF (8%), diabetes (9%), males (9%), and females (8%). Cardiovascular mortality declined by 5% per 5 kg/m2 increase. Non-linear analysis revealed a significant U-shaped relationship, with lowest all-cause mortality between BMI 21.7 and 39 kg/m2. Subgroup analysis showed significant non-linear all-cause mortality reductions in acute decompensated heart failure (23.5–26 kg/m2), HFpEF (21.7–31 kg/m2), HFrEF (21.7–43 kg/m2), females (24–25.5 kg/m2), diabetes (21.7–36 kg/m2), and non-diabetics (21.7–33 kg/m2). Conclusion: Higher BMI is significantly associated with lower all-cause and cardiovascular mortality in patients with heart failure, supporting the presence of an obesity paradox. This protective effect was consistent across clinical subgroups, including HFpEF, HFrEF, males, females, and individuals with diabetes. The BMI paradox was evident in patients with acute decompensated heart failure, HFpEF, HFrEF, females, and both with and without diabetes.

AbstractBackgroundLeft ventricular assist device (LVAD) implantation is frequently employed in patients with end‐stage heart failure. The outcomes of addressing the repair of all substantial aortic valvular disease at the time of LVAD implantation remain unclear. We sought to assess the clinical outcomes in patients undergoing LVAD implantation concomitant with aortic valve procedures (AVPs) compared with isolated LVAD implantation.MethodsA literature search was performed using PubMed, Embase, and Cochrane library from inception till June 2022. Primary outcomes included short‐term mortality and long‐term survival. Random effects models were used to compute mean differences and odds ratios with 95% confidence intervals (CIs).ResultsA total of 14 observational studies (N = 52 693) met our inclusion criteria. Concomitant LVAD implantation and AVPs were associated with higher short‐term mortality (OR = 1.61 [95% CI, 1.06–2.42]; p = 0.02) and mean CPBt (MD = 43.25 [95% CI, 22.95–63.56]; p < 0.0001), and reduced long‐term survival (OR = 0.70 [95% CI, 0.55–0.88]; p = 0.003) compared with isolated LVAD implantation. No difference in the odds of cerebrovascular accident (OR = 1.05 [95% CI, 0.79–1.39]; p = 0.74) and mean length of hospital stay (MD = 2.89 [95% CI, −4.04 to 9.82]; p = 0.41) was observed between the two groups. On adjusted analysis, short‐term mortality was significantly higher in the LVAD group with concurrent AVPs when compared with the isolated LVAD group (aHR = 1.50 [95% CI, 1.20–1.87]; p = 0.0004).ConclusionsConcurrent AVPs were associated with higher short‐term mortality and reduced long‐term survival in patients undergoing LVAD implantation compared with isolated LVAD implantation.

Abstract Aims There are several risk scores designed to predict mortality in patients with heart failure (HF). This study aimed to assess performance of risk scores validated for mortality prediction in patients with acute HF (AHF) and chronic HF. Methods and results MEDLINE and Scopus were searched from January 2015 to January 2021 for studies which internally or externally validated risk models for predicting all-cause mortality in patients with AHF and chronic HF. Discrimination data were analysed using C-statistics, and pooled using generic inverse-variance random-effects model. Nineteen studies (n = 494 156 patients; AHF: 24 762; chronic HF mid-term mortality: 62 000; chronic HF long-term mortality: 452 097) and 11 risk scores were included. Overall, discrimination of risk scores was good across the three subgroups: AHF mortality [C-statistic: 0.76 (0.68–0.83)], chronic HF mid-term mortality [1 year; C-statistic: 0.74 (0.68–0.79)], and chronic HF long-term mortality [≥2 years; C-statistic: 0.71 (0.69–0.73)]. MEESSI-AHF [C-statistic: 0.81 (0.80–0.83)] and MARKER-HF [C-statistic: 0.85 (0.80–0.89)] had an excellent discrimination for AHF and chronic HF mid-term mortality, respectively, whereas MECKI had good discrimination [C-statistic: 0.78 (0.73–0.83)] for chronic HF long-term mortality relative to other models. Overall, risk scores predicting short-term mortality in patients with AHF did not have evidence of poor calibration (Hosmer–Lemeshow P &gt; 0.05). However, risk models predicting mid-term and long-term mortality in patients with chronic HF varied in calibration performance. Conclusions The majority of recently validated risk scores showed good discrimination for mortality in patients with HF. MEESSI-AHF demonstrated excellent discrimination in patients with AHF, and MARKER-HF and MECKI displayed an excellent discrimination in patients with chronic HF. However, modest reporting of calibration and lack of head-to-head comparisons in same populations warrant future studies.

Abstract Aims Anticoagulants are the mainstay treatment for stroke prevention in patients with non-valvular atrial fibrillation (NVAF), and the CHA2DS2-VASc score is widely used to guide anticoagulation therapy in this cohort. However, utility of CHA2DS2-VASc in NVAF patients is debated, primarily because it is a vascular scoring system, which does not incorporate atrial fibrillation related parameters. Therefore, we conducted a meta-analysis to estimate the discrimination ability of CHA2DS2-VASc in predicting ischaemic stroke overall, and in subgroups of patients with or without NVAF. Methods and results PubMed and Embase databases were searched till June 2020 for published articles that assessed the discrimination ability of CHA2DS2-VASc, as measured by C-statistics, during mid-term (2–5 years) and long-term (&gt;5 years) follow-up. Summary estimates were reported as random effects C-statistics with 95% confidence intervals (CIs). Seventeen articles were included in the analysis. Nine studies (n = 453 747 patients) reported the discrimination ability of CHA2DS2-VASc in NVAF patients, and 10 studies (n = 138 262 patients) in patients without NVAF. During mid-term follow-up, CHA2DS2-VASc predicted stroke with modest discrimination in the overall cohort [0.67 (0.65–0.69)], with similar discrimination ability in patients with NVAF [0.65 (0.63–0.68)] and in those without NVAF [0.69 (0.68–0.71)] (P-interaction = 0.08). Similarly, at long-term follow-up, CHA2DS2-VASc had modest discrimination [0.66 (0.63–0.69)], which was consistent among patients with NVAF [0.63 (0.54–0.71)] and those without NVAF [0.67 (0.64–0.70)] (P-interaction = 0.39). Conclusion This meta-analysis suggests that the discrimination power of the CHA2DS2-VASc score in predicting ischaemic stroke is modest, and is similar in the presence or absence of NVAF. More accurate stroke prediction models are thus needed for the NVAF population.