医学
心力衰竭
共病
大流行
背景(考古学)
重症监护医学
比例危险模型
单变量分析
内科学
心理干预
多元分析
2019年冠状病毒病(COVID-19)
疾病
精神科
传染病(医学专业)
古生物学
生物
作者
Yi Liu,Dengao Li,Yuchen Liang
出处
期刊:Heliyon
[Elsevier]
日期:2024-08-01
卷期号:10 (15): e35746-e35746
标识
DOI:10.1016/j.heliyon.2024.e35746
摘要
The COVID-19 pandemic has posed unprecedented challenges to global healthcare systems, resulting in alarming incidence and mortality rates among patients with comorbidities, including heart failure. Understanding the characteristics of heart failure and other comorbidities during the COVID-19 pandemic is crucial for effective prevention and treatment. However, the current understanding of these characteristics among different racial groups remains incomplete. In this study, we investigated a cohort of 4711 patients, classifying them into congestive heart failure (CHF) and non-CHF groups. Biomarker analysis revealed noteworthy variations in blood urea nitrogen, aspartate aminotransferase, and white blood cell levels based on the presence or absence of CHF. Stratified by three racial groups, univariate logistic regression analysis identified significant differences in multiple variables, including CHF. Subsequent univariate Cox regression and Kaplan-Meier analysis demonstrated variations in mortality factors among distinct populations, with age and comorbidity playing prominent roles. This study utilized a large-scale database to investigate the characteristics of heart failure and related variables during the COVID-19 pandemic. The findings revealed distinctive mortality risk factors among various racial groups, emphasizing the significance of customized risk assessment and management approaches for diverse populations. These findings also provide a valuable resource for the development of targeted interventions and the promotion of equitable healthcare outcomes in the context of the COVID-19 pandemic.
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