Guddeti, Ananth V

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: Racial, regional, and income disparities have been shown to impact cardiovascular outcomes in postmenopausal women with SARS-CoV-2. Addressing these disparities can improve healthcare equity and outcomes for this vulnerable population. Methods: A retrospective cohort study utilized data from the National Inpatient Sample (NIS)-2020 to examine female patients aged over 55 years who were admitted to hospitals in 2020. The study focused on primary endpoints, specifically major cardiac and cerebrovascular events (MACCE) including all-cause mortality, AMI, cardiac arrest, and stroke. Multivariable logistic regression was used to evaluate the association between demographic factors and cardiovascular outcomes, after controlling for confounding variables. Results: Of the total 547,225 postmenopausal women hospitalized with SARS-CoV-2, 19.8% had MACCE. Racial disparities were significant, as Native American, Hispanic, Asian and African American women exhibited higher rates of MACCE compared to Caucasian women, with odds ratios (OR) of 1.63 (95% CI: 1.33-1.98, p<0.001), 1.25 (95% CI: 1.18-1.32, p<0.001), 1.17 (95% CI: 1.07-1.28, p<0.001), and 1.11 (95% CI: 1.06-1.17, p<0.001), respectively. Regional variations were also observed, with the Northeast region demonstrating a higher prevalence of cardiovascular complications compared to the West (OR: 1.22, 95% CI: 1.14-1.32, p<0.001). Additionally, income level played a significant role, as women from the first- and second-income quartiles had higher MACCE rates compared to those in the fourth quartile (OR: 1.19, 95% CI: 1.12-1.26, p<0.001; OR: 1.09, 95% CI: 1.03-1.15, p<0.001). Conclusions: This study reveals significant racial, regional, and income disparities in cardiovascular outcomes among postmenopausal women with SARS-CoV-2. Targeted interventions and further research are necessary to improve healthcare equity and outcomes in vulnerable populations.

Introduction: Lipoprotein (a) [Lp(a)] has been recognized as an independent predictor of atherosclerotic cardiovascular disease (ASCVD). However, there is limited data on the association between Lp(a) levels and risk of recurrent myocardial infarction (MI)/coronary revascularization in patients with acute coronary syndrome (ACS) who underwent percutaneous coronary intervention (PCI). Methods: PubMed/Medline, EMBASE, and Scopus were searched for studies evaluating the association of Lp(a) with recurrent ischemic events from the year 2000-2023. Patients with coronary artery disease or ACS with baseline Lp(a) who underwent PCI or coronary stenting and had outcomes as recurrent MI/ coronary revascularization were included. Random effects models and I 2 statistics were used for pooled hazard ratios (HR), odds ratio (OR), and heterogeneity assessment. A leave-one-out sensitivity analysis was also performed. Results: The initial search resulted in 651 articles, of which nine studies with 27964 patients (mean age 58-66 years, 74.79% male) were included. Of the nine studies, six were retrospective and three prospective. Mean±SD/Median (IQ) follow-up duration was four years [range 2-7 years]. There was an increased risk of recurrent MI/coronary revascularization associated with Lp(a) ≥30 mg/dL (OR, 1.44, 95% CI: 1.09-1.89, I 2 = 79.24%, p=0.009) (Fig 1a) and Lp(a) ≥10-30 mg/dL (OR, 1.19, 95% CI: 1.009-1.416, I 2 = 0%, p=0.039) (Fig 1b), but failed to reach significance with Lp(a) as a continuous variable (OR, 1.004, 95% CI: 0.998-1.009, I 2 = 85.02%, p=0.221) (Fig 1c). Leave-one-out sensitivity analysis showed an equivalent result for various Lp(a) cutoffs (Fig 1a, 1b, and 1c). Conclusions: Our meta-analysis suggests an association of raised Lp(a) with increased risk of recurrent MI/coronary revascularization in ACS patients who underwent PCI.

Background: Anemia in Type 2 Myocardial Infarction (T2MI) related hospitalizations has been linked to higher one year mortality along with other causes of hemodynamic stress. We conducted the first ever meta analysis to evaluate the overall global prevalence of Anemia among patients with T2MI with differences by subgroups. Methods: PUBMED, SCOPUS and Google Scholar Databases were systematically reviewed to find studies through January 2023 ascertaining prevalence of Anemia in T2MI. Binary Random Effects models were used to estimate the pooled prevalence and subgroup analysis of anemia in T2MI. Heterogeneity was assessed using I 2 statistics. Leave-One-Out sensitivity analysis was also performed. Results: A total of 16 cohorts with 28,629 patients, hospitalized with T2MI (Mean Age 74; SD13) revealed a 23.3% [95% CI 17.8% - 28.8%, I 2 -98.61%, P<0.001] pooled prevalence of Anemia and a Mean Hb level of 121; SD - 25 in g/L. The prevalence of Anemia was higher among T2MI cohorts with younger Mean Age [Mean <70 vs >70 Years; 24.6% (95% CI 14.1% - 34.1%) vs 21.4% (95% CI 15.6 - 27.2%)]; smaller sample size [ n<500 vs n>500; 26.6% (95% CI 18.4% - 34.8%) vs 18.6% (95%CI 10.4% - 26.8%)]; prospective studies [Prospective vs Retrospective; 26.1% (95%CI 17.4% - 34.7%) vs 18.7% (95%CI 12.7% - 24.7%)] and single center studies [Single Center vs Multi Center; 24.9% (95%CI 17.5% - 32.2%) vs 21.4% (95%CI 12.7% - 30.1%)]. The prevalence of Anemia in T2MI related hospitalizations was also higher in studies from Asia [36.2% (95%CI 24.6% - 47.7%)], Europe [21.9% (95% CI 14.1% - 29.7%)] and Multinational [21.1% (95%CI 11.9%-30.2%)] as compared to North America [16.4% (95%CI 8% - 24.8%)]. Conclusions: The pooled prevalence of Anemia in this worldwide meta analysis of T2MI hospitalized patients was 23.3% with wide variance among subgroups. Further studies should focus on scrutinizing the outcomes and devastating complications of Anemic patients with T2MI among various populations universally.