Vatsavayi, Priyanka

BACKGROUND: COVID-19 patients are at higher risk of major adverse cardiovascular and cerebrovascular events (MACCE). The underpinning effect of cancer in COVID-19 enhances this risk. Currently, we have limited nationwide data on MACCE events in cancer patients hospitalized with COVID-19. This study aims to identify demographic and clinical predictors of MACCE in this population. METHODS: We identified COVID-19-hospitalized cancer patients using the 2020 National Inpatient Sample. MACCE, inpatient mortality, and baseline demographics and comorbidities were assessed. Predictors of MACCE were calculated using multivariable regression analysis. RESULTS: Of 68,755 cancer patients hospitalized with COVID-19, 24% had MACCE, and 20.4% died in the hospital, with both outcomes being more significant among males, Asian or Pacific Islanders, and those in the fourth income quartile (all p<0.05). Comorbidities exhibited statistically significant associations for MACCE (all p<0.05). Higher adjusted odds of MACCE were found in age groups >65 (OR 4.17; 95% CI 2.94-5.91) and 45-64 (OR 1.77; 95% CI 1.26-2.48) than 18-44 years, self-paying patients (OR 2.15) than Medicare, urban non-teaching (OR 1.25) and urban teaching hospitalizations (OR 1.24) than rural, prior MI (OR 1.36; 95% CI 1.11-1.66), CKD (OR 1.37; 95% CI 1.22-1.54), severe sepsis (OR 2.75; 95% CI 2.42-2.13), respiratory failure (OR 2.67; 95% CI 2.41-2.96), and mechanical ventilation (OR 12.15; 95% CI 10.40-14.21). Compared to the Northeast, hospitals in the Midwest, West, and South had lower odds of MACCE. Obesity, tobacco use, hyperlipidemia, and prior chemotherapy also exhibited lower odds of MACCE (all p<0.05) (Table. 1). CONCLUSION: Our study using contemporary large-scale data found a concerning burden and higher risk of MACCE, particularly in the elderly, patients with CKD, prior MI, severe sepsis, respiratory failure, and mechanical ventilation.

Background: Limited research has focused on the rising incidence of major adverse cardiac and cerebrovascular events (MACCE) among young women (aged 18-44) with at least one traditional cardiovascular disease risk factor (CVD), especially in rural hospital settings. We aimed to address this research gap by providing insights into the burden of CVD in this population. Methods: Using data from the National Inpatient Sample (2019), we identified young women (aged 18-44) with at least one cardiovascular risk factor admitted to rural hospitals. Baseline demographics, comorbidities, and outcomes were assessed, including MACCE and all-cause mortality. Multivariable logistic regression was performed, adjusting for age, race, income, and comorbidities. Results: Among 179,410 young women, MACCE occurred in 2,455 individuals (1.4%), with varying rates among racial groups: whites (1.2%), blacks (2.4%), Hispanics (1.3%), Asian or Pacific Islanders (API) (2%), Native Americans (NA) (1.6%), and others (1%). All-cause mortality was observed in 385 women (0.2%), with rates of 0.2% for whites and 0.4% for blacks. Blacks had twice the event rates of MACCE, and all-cause mortality compared to whites. Comorbidities and substance abuse were associated with MACCE (P<0.001). In higher-income households, multivariable analysis adjusted for confounders revealed significantly higher odds of MACCE in blacks (OR 1.23, 95% CI 0.11-14.08), API (OR 4.48, 95% CI 1.06-18.93), and NA (OR 10.22, 95% CI 1.03-101.50) compared to whites. In contrast, mortality rates were lower for Hispanics than whites (OR 0.24, 95% CI 0.02-3.80) (all p < 0.001) (Table 1). Conclusion: In higher-income households, greater odds of MACCE were noted among blacks, API, and NA compared to whites. Future research should focus on understanding factors contributing to these disparities and developing interventions to prioritize equitable healthcare access for rural women across diverse ethnic and income classes.

INTRODUCTION: The relentless toll of cardiovascular disease in the United States demands a breakthrough in reliable and cost-effective prognostic markers. Amidst the limited knowledge surrounding the role of adiponectin in stable coronary artery disease (CAD), this study aims to unveil its power in predicting all-cause mortality and major adverse cardiovascular events (MACE) among patients with stable coronary artery disease (CAD). METHODS: We systematically screened PubMed, Scopus, and Google Scholar for articles until May 2023 to identify relevant studies. Random-effects model estimated the pooled odds ratio (OR) with 95% confidence intervals (CI), and I2 statistics assessed heterogeneity. The leave-one-out method was used for sensitivity analysis. RESULTS: Following the screening, five prospective studies involving 3225 patients with a median follow-up duration of 3.8 years were included. In the study population, hypertension, diabetes, hyperlipidemia, and smoking were prevalent risk factors, and common medications included angiotensin-converting enzyme inhibitors, beta-blockers, and statins. The pooled adjusted OR for all-cause mortality was 2.51 (95%CI: 1.36-4.62), with moderate heterogeneity (I2=65.51%, p=0.03), and the pooled adjusted OR for MACE was 1.04 (95%CI: 1.02-1.06), with no significant heterogeneity (I2=0%, p=0.68) (Fig. 1) . The leave-one-out sensitivity analysis showed that no single study significantly influenced the meta-analysis results, indicating robustness. CONCLUSION: Higher adiponectin levels were associated with higher odds of long-term mortality and MACE in stable CAD patients, highlighting its potential as a cost-effective marker for risk stratification and guiding management strategies. Further studies exploring the role of adiponectin can significantly impact clinical decision-making and resource allocation in cardiovascular care.

AbstractObservational studies indicate that pleural effusion has an association with risk and the clinical prognosis of COVID‐19 disease; however, the available literature on this area is inconsistent. The objective of this systematic review and meta‐analysis is to evaluate the correlation between COVID‐19 disease and pleural effusion. A rigorous literature search was conducted using multiple databases. All eligible observational studies were included from around the globe. The pooled prevalence and associated 95% confidence interval (CI) were calculated using the random effect model. Mantel–Haenszel odds ratios were produced to report overall effect size using random effect models for severity and mortality outcomes. Funnel plots, Egger regression tests, and Begg–Mazumdar's rank correlation test were used to appraise publication bias. Data from 23 studies including 6234 COVID‐19 patients was obtained. The overall prevalence of pleural effusion in COVID‐19 patients was 9.55% (95% CI,I2 = 92%). Our findings also indicated that the presence of pleural effusions associated with increased risk of severity of disease(OR = 5.08, 95% CI 3.14–8.22,I2 = 77.4%) and mortality due to illness(OR = 4.53, 95% CI 2.16–9.49,I2 = 66%) compared with patients without pleural effusion. Sensitivity analyses illustrated a similar effect size while decreasing the heterogeneity. No significant publication bias was evident in the meta‐analysis. The presence of pleural effusion can assist as a prognostic factor to evaluate the risk of worse outcomes in COVID‐19 patients hence, it is recommended that hospitalized COVID‐19 patients with pleural effusion should be managed on an early basis.