Mohammed, Adil Sarvar

Background: Sudden cardiac death (SCD) is a leading cause of mortality in the U.S., with emerging evidence pointing to racial disparities and the impact of social vulnerability. Yet, geographic patterns integrating race and county-level vulnerability remain underexplored. Objective: To identify U.S. counties where socially vulnerable communities, stratified by race/ethnicity, experience disproportionate burdens of SCD-related mortality. Methods: We analyzed county-level data (1999-2020), integrating age-adjusted mortality rates (AAMR) for SCD with the 2020 CDC Social Vulnerability Index (SVI). Counties were categorized into SVI quartiles (Q1: Low to Q4: High Social Vulnerability). Analyses were stratified by race/ethnicity: Black or African American, Hispanic/Latino, White, American Indian/Alaska Native (AI/AN), and Asian/Pacific Islander (API). We used RStudio (v2023.06.1) for data cleaning, ANOVA testing, and descriptive analysis. “Unreliable” mortality values were handled as missing or set to zero, with only valid AAMR > 0 included. Hotspot counties were identified by selecting the top decile of AAMR SCD within Q4 SVI counties. Results: Significant disparities emerged across SVI quartiles for Black (p = 0.0003), Hispanic (p < 0.0001), and White (p < 0.0001) groups. Mean AAMR more than doubled from low to high SVI counties in Black communities (17.0 to 39.4 per 100,000). White and Hispanic groups showed smaller but consistent increases. API (p = 0.60) or AI/AN (p = 0.63) groups showed no significant trends. Madison Parish, LA appeared in the top-10 highest-burden counties across all groups. Black populations faced extreme rates in some SVI counties (e.g., Madison Parish, LA: 351.4 per 100,000), while API groups had low AAMR even in vulnerable areas. Data misclassification limited interpretation in the Hispanic group. Conclusions: Black, Hispanic, and White populations showed significant differences in SCD mortality tied to social vulnerability. Black populations in the most vulnerable areas experienced more than twice the rate of mortality compared to those in less vulnerable areas, suggesting a strong correlation between social vulnerability and SCD mortality in Black communities. API and AI/AN groups showed no significant associations, likely due to small sample sizes. Madison Parish, LA reflects the compounded impact of structural disadvantage. Findings support targeted interventions in socially and racially vulnerable counties to reduce preventable cardiac deaths.

Background: Geographic and temporal distribution of disparity authorships is unclear. Our aim was to examine authorship trends in 2020-2023 American Heart Association (AHA) abstracts reporting social and demographic disparities. Methods: We reviewed 801 AHA conference abstracts, analyzing 723 reports. Regional information of authors and their reported disparities related to gender, race, region, healthcare access (HCA), comorbidities (CO), socioeconomic status (SES) were collected. Descriptive and trend analyses were performed using Chi-square tests, and Pearson's and Kendall's Tau b correlation tests. P <0.05 was considered significant. Results: We analyzed 1440 primary and senior authorships from 723 abstracts. The majority of authors (92%) were from North America, predominantly USA (90%), with a significant representation from the South (33.6%) vs. other regions (Image 1). Disparities on outcomes such as race, gender, SES, CO, geographical locations, and HCA were reported as 53.9%, 33.9%, 26.6%, 24.9%, 17.8%, and 13.6% respectively. From 2020 to 2023, there was a declining trend in authors reporting on gender (ptrend<0.001) and HCA (ptrend-0.03) disparities, whereas disparities on SES had an increasing trend (ptrend<0.001). An increase in reporting of gender disparities was associated with increased reporting of racial disparities (r = .081, τb = .081). We also found positive correlations between SES and HCA (r = .155, τb = .155). Conversely, there was a negative correlation between gender and SES (r = -0.133, τb = -0.133), and between CO and healthcare access HCA (r = -0.078, τb = -0.078). All correlations were statistically significant (p < 0.05). Conclusion: The trends show that authors have reported more SES disparities in recent times compared to HCA, race, and gender. With expected financially challenging times ahead, to address these findings, it remains important to focus research on income based equalities in HCA and outcomes.

Introduction: Cognitive impairment has a significant impact on functional recovery and quality of life in stroke patients. Given the emerging role of high sensitivity C-reactive protein (hs-CRP) as a biomarker for predicting post-stroke cognitive decline, we conducted a meta-analysis to investigate this association. Methods: We systematically searched SCOPUS, PubMed, and Google Scholar databases until May 2023 using relevant keywords. Pooled effect sizes were estimated using a random-effects model, and I2 statistics and leave-one-out sensitivity analysis were performed to assess heterogeneity and robustness, respectively (p-value < 0.05 considered significant). Results: The final analysis included five studies spanning the years 2018-2023, with a total sample size of 9,625 patients, all from China, and predominantly male (57.85%). The median follow-up period was 3 months. Patients with higher hs-CRP levels had a higher burden of smoking, alcohol consumption, hypertension, diabetes, hyperlipidemia, and lower education levels. The meta-analysis revealed an increased risk of cognitive impairment after ischemic stroke associated with higher hs-CRP levels (adjusted odds ratio [aOR] 1.15; 95% CI: 1.01-1.30, p - 0.03). Substantial heterogeneity was observed among the studies (I2 = 79.23%; p < 0.01). However, a leave-one-out sensitivity analysis confirmed the robustness of the findings, indicating that no single study strongly influenced the overall results. Conclusion: This meta-analysis provides evidence of an association between elevated hs-CRP levels and cognitive impairment following ischemic stroke. However, the limited number of studies, mainly from a specific population, highlights the need for further research to enhance the generalizability of these findings.

Abstract Background Depression has emerged as a critical risk factor for development and progression of various cardiovascular diseases; however, the association between depression and Hypertrophic Cardiomyopathy (HCM) outcomes is less clear. We aimed to determine the impact of comorbid depression on patients hospitalized with HCM. Methods The National Inpatient Sample (2020) was assessed to identify patients hospitalized with HCM using relevant ICD-10 codes. Propensity score matching of 1:1 was performed and the cohort was divided into two - those with comorbid depression (HCM-D+) and those without (HCM-D-). Baseline characteristics and comorbidities were compared between the two cohorts. Impact of comorbid depression on hospitalized HCM patients was evaluated using a multivariate regression analysis adjusting for confounders. Results We identified a cohort of 15530 in-hospital HCM patients with a median age of 67 years (66.9% females, 33.1% males, 74.6% whites, 19.1% blacks, 4.3% hispanics, 1.7% Asians). Amongst 15530, 85.5% admissions were non-elective. The HCM-D+ cohort had significantly higher rates of comorbidities such as hypertension (76.4% vs 71.4%), hyperlipidemia (62.5% vs 52.4%), obesity (27.9% vs 24.9%), smoking (28.1% vs 25.7%), dementia (8.2% vs 4.4%) and cancer (7.5% vs 5.8%) (p&lt;0.001). When in-hospital outcomes were compared, HCM-D+ cohort paradoxically appeared to have 44% lower risk of all-cause mortality (OR-0.56; 95%CI: 0.37- 0.84), 22% lower risk of composite end points (all-cause mortality, heart failure, atrial fibrillation, cardiac arrest including ventricular fibrillation, acute ischemic stroke) (OR-0.78; 95%CI:0.66-0.91), 21% lower risk of atrial fibrillation alone (OR-0.79; 95%CI:0.67-0.92) (p&lt;0.001). Conclusion Despite having higher rates of comorbidities, comorbid depression in HCM patients appeared to improve in-hospital outcomes. Further studies are needed to uncover the paradoxical protection provided by underlying depression.

Background: Obstructive sleep apnea (OSA) increases the risk of stroke and cardiovascular diseases. However, its impact on geriatric patients with a prior history of stroke/transient ischemic attack (TIA) has not been adequately studied. Methods: We utilized the 2019 National Inpatient Sample in the US to identify geriatric patients with OSA (G-OSA) who had a prior history of stroke/TIA. We then compared subsequent stroke (SS) rates among sex and race subgroups. We also compared the demographics and comorbidities of SS+ and SS− groups and utilized logistic regression models to assess outcomes. Results: Out of 133,545 G-OSA patients admitted with a prior history of stroke/TIA, 4.9% (6520) had SS. Males had a higher prevalence of SS, while Asian-Pacific Islanders and Native Americans had the highest prevalence of SS, followed by Whites, Blacks, and Hispanics. The SS+ group had higher all-cause in-hospital mortality rates, with Hispanics showing the highest rate compared to Whites and Blacks (10.6% vs. 4.9% vs. 4.4%, p < 0.001), respectively. Adjusted analysis for covariates showed that complicated and uncomplicated hypertension (aOR 2.17 [95% CI 1.78–2.64]; 3.18 [95% CI 2.58–3.92]), diabetes with chronic complications (aOR 1.28 [95% CI 1.08–1.51]), hyperlipidemia (aOR 1.24 [95% CI 1.08–1.43]), and thyroid disorders (aOR 1.69 [95% CI 1.14–2.49]) were independent predictors of SS. The SS+ group had fewer routine discharges and higher healthcare costs. Conclusions: Our study shows that about 5% of G-OSA patients with a prior history of stroke/TIA are at risk of hospitalization due to SS, which is associated with higher mortality and healthcare utilization. Complicated and uncomplicated hypertension, diabetes with chronic complications, hyperlipidemia, thyroid disorders, and admission to rural hospitals predict subsequent stroke.