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新冠肺炎合并充血性心力衰竭患者的合并症与死亡风险:一项综合分析。

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

作者信息

Liu Yi, Li Dengao, Liang Yuchen

机构信息

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

Key Laboratory of Big Data Fusion Analysis and Application of Shanxi Province, Taiyuan, 030024, China.

出版信息

Heliyon. 2024 Aug 3;10(15):e35746. doi: 10.1016/j.heliyon.2024.e35746. eCollection 2024 Aug 15.

Abstract

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.

摘要

新冠疫情给全球医疗系统带来了前所未有的挑战,导致包括心力衰竭在内的合并症患者出现惊人的发病率和死亡率。了解新冠疫情期间心力衰竭及其他合并症的特征对于有效预防和治疗至关重要。然而,目前对于不同种族群体中这些特征的了解仍不完整。在本研究中,我们调查了4711名患者组成的队列,将他们分为充血性心力衰竭(CHF)组和非CHF组。生物标志物分析显示,根据是否存在CHF,血尿素氮、天冬氨酸转氨酶和白细胞水平存在显著差异。按三个种族群体分层后,单因素逻辑回归分析确定了包括CHF在内的多个变量存在显著差异。随后的单因素Cox回归和Kaplan-Meier分析表明,不同人群的死亡因素存在差异,年龄和合并症起主要作用。本研究利用大规模数据库调查了新冠疫情期间心力衰竭的特征及相关变量。研究结果揭示了不同种族群体中独特的死亡风险因素,强调了针对不同人群定制风险评估和管理方法的重要性。这些发现还为在新冠疫情背景下制定有针对性的干预措施和促进公平的医疗结果提供了宝贵资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05d9/11336877/ea663eb82f1d/gr1.jpg

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