Associations between public health measures and mortality among hospitalised COVID-19 patients: a cross-sectional study in Malaysia

马来西亚一项横断面研究:公共卫生措施与新冠肺炎住院患者死亡率之间的关联

阅读:2

Abstract

Identifying risk and protective factors associated with COVID-19 mortality among hospitalised patients is essential for improving clinical outcomes and guiding public health interventions. This study examined demographic, clinical, and public health factors associated with in-hospital mortality among COVID-19 patients in Malaysia. We conducted a cross-sectional analysis of epidemiological and clinical data from 1,795 confirmed COVID-19 patients admitted to a designated hospital in Negeri Sembilan between January and December 2021. Variables included age, sex, comorbidities, clinical symptoms, vaccination status, screening method (e.g., close contact, symptomatic, pre-procedure), and RT-PCR cycle threshold (CT) values. Univariable and multivariable logistic regression analyses were used to identify factors associated with mortality. A total of 224 patients (12.5%) died during hospitalisation. Mortality was significantly associated with age ≥ 71 years (aOR 14.02, 95% CI: 5.98-32.83), male sex (aOR 1.52, 95% CI: 1.11-2.07), and comorbidities including stroke (aOR 4.3, 95% CI: 1.3-14.06), chronic kidney disease (aOR 4.23, 95% CI: 1.99-9), and cancer (aOR 3.3, 95% CI: 1.1-10). Protective factors included complete COVID-19 vaccination (aOR 0.31, 95% CI: 0.11-0.98), close contact screening (aOR 0.45, 95% CI: 0.3-0.67), and symptomatic screening (aOR 0.59, 95% CI: 0.37-0.94). Complete vaccination and early case detection through close contact and symptomatic screening were associated with reduced mortality among hospitalised COVID-19 patients. These findings highlight the importance of strengthening vaccination programmes and early detection strategies to inform future pandemic preparedness and optimise hospital resource allocation.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。