Sharma, Grishma

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.

Abstract Background: Specialised knowledge in adult congenital heart disease is crucial but often lacking, particularly in resource-limited settings. The Global Conversations in Adult Congenital Heart Disease webinar series was initiated to provide accessible, global education via virtual platforms. Objective: This study evaluates the attendance patterns, participant demographics, knowledge outcomes, and audience feedback of the Global Conversations in Adult Congenital Heart Disease webinar series , analysing 19 monthly sessions conducted from October 2023 to April 2025. Methods: Registration data, session viewership, and total series reach were recorded. Demographics were collected per session. Pre- and post-session quizzes were used to assess changes in knowledge; scores from these independent groups were compared using the Mann–Whitney U test. Post-webinar surveys collected improvement suggestions. Results: Out of 1,956 registrants from 89 countries, 54.6% attended the sessions, representing 1,068 participants from 64 nations: mainly Colombia (30.9%), Peru (18%), the USA (14.1%), and Mexico (9.9%). Median quiz scores improved from 50% pre-session ( n = 120) to 100% post-session ( n = 108), a statistically significant gain ( p = 0.035). Notably, 29% had no prior adult congenital heart disease education. Most post-webinar survey respondents rated case presentations and discussions as excellent (75.0%) or good (20.1%). Qualitative feedback suggested areas for improvement included audiovisual quality, audience engagement, content delivery, and language accessibility. Conclusion: The Global Conversations in Adult Congenital Heart Disease webinar series successfully engaged a diverse international audience and showed significant differences in quiz scores between pre- and post-session independent groups, demonstrating the potential benefit and feasibility of virtual education in bridging gaps in adult congenital heart disease training, particularly in resource-limited countries.

Abstract Background Valvular heart disease (VHD) and atrial fibrillation (AF) frequently coexist, presenting complex clinical challenges despite advances in diagnostics and therapeutics. Together, they contribute substantially to cardiovascular mortality. However, epidemiological patterns vary across demographics and regions Methods Mortality data from 1999–2023 were obtained from the CDC WONDER database. Deaths attributed to VHD (ICD-10: I30-I52) with co-diagnosed AF (ICD-10: I48) among adults ≥ 45 were included. Age-adjusted mortality rates (AAMRs) per 1,000,000 population were calculated. Autoregressive integrated moving average (ARIMA) models were used to project mortality trends through 2035. Results From 1999 to 2023, there were 172,511 VHD and Afib-related deaths in adults ≥ 45. AAMRs increased until 2021, followed by a slight decline to 8.86. The overall AAPC for VHD with AF was 4.01%. AAMR increase was consistent across all age groups, highest seen in 65 + individuals. Males had consistently higher AAMRs than females. AAPC for males was 4.44% and for females 3.52%. Non- Hispanic White had the highest AAMR (10.56 in 2021), followed by Hispanics (4.19). Regionally, the West had the highest AAMR (11.27), followed by Mid-West (9.94). Non-metropolitan areas had higher AAMR 8.96 compared to metropolitan areas (AAMR: 7.59). Most VHD related deaths were reported in inpatient settings (n = 396,451) and 12% involved co-diagnosed AF. Conclusion Mortality associated with VHD and AF in the U.S population aged ≥ 45 has shown a concerning increase. Predictive models indicate this trend may persist, highlighting the need for early detection, equitable healthcare access and public health interventions tailored to high-risk populations.

Background: Critical congenital heart disease (CCHD) screening algorithms based on pulse oximetry have up to 27% false positive rate at high altitudes (>2500 m) despite altitude-specific cutoff changes. We examined the added value of an adult-based AI model applied to phonocardiography (AI-PCG) in the digital stethoscope EKO Core 500 in these settings. Research Question: What is the diagnostic performance of AI-PCG model compared to pulse oximetry in detecting neonatal CCHD across different altitudes in Latin America? Methods: This observational, prospective, case-control study included newborns born at different altitudes from 0 to 4380 meters in Peru, Mexico, Colombia and Bolivia. All underwent preductal and postductal oximetry at least 18 hours after birth, electrocardiography and PCG with the digital stethoscope. All CCHD cases were confirmed by echocardiography. Non-CCHD cases were defined by echocardiography or clinically if they were alive for 1 month and had 1) negative pulse oximetry, 2) no hospitalization due to cardiac or pulmonary causes and 3) no cyanosis or pneumonia. Those with abnormal pulse oximetry, genetic syndromes or murmur detection underwent echocardiography. Diagnostic performance metrics [area under the receiving operating characteristic curve (AUROC), sensitivity, specificity and false positive rate] were evaluated per modality. Results: A total of 1152 newborns were enrolled, 725 at <2500 m [13 (1.8%) with CCHD] and 427 at >2500 m [6 (1.4%) with CCHD]. Out of 19 CCHD cases, 17 had positive pulse oximetry and 9 had a positive AI-PCG model. One newborn with severe coarctation of the aorta and atrial septal defect had negative pulse oximetry and AI-PCG model. Pulse oximetry showed superior AUROC (0.932 vs 0.664), sensitivity (89.5% vs 47.4%), specificity (97% vs 85.5%) and lower false positive rate (3% vs 14.5%) compared to the AI-PCG model across altitudes. Diagnostic accuracy varied with altitude (Figure): at <2500 m, pulse oximetry showed higher AUROC (0.999 vs 0.612) and lower false positive rate (0.1% vs 16%) than AI-PCG model, but at >2500 m, pulse oximetry had similar AUROC (0.794 vs 0.774) and lower false positive rate (7.8% vs 11.9%) than the AI-PCG model. Conclusion: Pulse oximetry has superior diagnostic performance than an adult-based AI-PCG model when screening for neonatal CCHD at <2500 m, but similar performance is found >2500 m.