Comorbidities and mortality risk in COVID-19 patients with congestive heart failure: A comprehensive analysis

Yi Liu1,2,3, Dengao Li4,2,3, Yuchen Liang5

  • 1College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan, 030024, China.

Heliyon
|August 22, 2024
PubMed

Insights

COVID-19 significantly impacted patients with heart failure, revealing racial disparities in mortality risk factors. Tailored risk assessment and management are crucial for equitable healthcare outcomes.

Area of Science:

  • Cardiology
  • Public Health
  • Epidemiology

Background:

  • The COVID-19 pandemic presented major challenges to healthcare systems globally.
  • Patients with comorbidities, such as heart failure, experienced high incidence and mortality rates.
  • Understanding these impacts across different racial groups is incomplete.

Purpose of the Study:

  • To investigate the characteristics of heart failure and comorbidities during the COVID-19 pandemic.
  • To identify variations in clinical biomarkers and mortality factors among different racial groups.
  • To highlight the need for customized risk assessment and management strategies.

Main Methods:

  • Analysis of a large cohort of 4711 patients, divided into congestive heart failure (CHF) and non-CHF groups.
  • Biomarker analysis (blood urea nitrogen, aspartate aminotransferase, white blood cell count).
  • Univariate logistic regression, univariate Cox regression, and Kaplan-Meier analysis stratified by race.

Main Results:

  • Significant variations in biomarkers were observed based on CHF status.
  • Racial stratification revealed significant differences in multiple variables, including CHF prevalence.
  • Age and comorbidity were prominent mortality factors, with distinct patterns among racial groups.

Conclusions:

  • The study identified distinct mortality risk factors for heart failure during the COVID-19 pandemic across different racial groups.
  • Findings underscore the importance of tailored risk assessment and management for diverse populations.
  • Results support the development of targeted interventions to promote equitable healthcare outcomes.

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