COVID-19合并慢性阻塞性肺疾病患者的死亡率和严重程度:一项荟萃分析

Atika Mima Amalin, S. Rahardjo, Hanung Prasetya
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引用次数: 0

摘要

背景:COVID-19已成为包括印度尼西亚在内的所有国家的大流行。COVID-19的死亡率集中在老年患者和有合并症的患者中。慢性阻塞性肺病是一种可能恶化甚至导致死亡的合并症。慢性阻塞性肺病是世界三大主要死亡原因之一,2019年造成230万人死亡。本研究旨在分析COPD合并症对COVID-19患者死亡率和严重程度的影响。对象和方法:本研究采用系统回顾和meta分析,遵循PRISMA流程图。通过期刊数据库搜索文章,即:谷歌scholar, PubMed, Science Direct和Link施普林格。文章搜索是通过考虑PICO模型中定义的资格标准来完成的。P= COVID-19患者;I= COPD参与者;C=无COPD;O=需要机械通气、ICU住院和死亡。纳入标准为队列论文全文,英文,校正优势比的多变量分析。文章用RevMan 5.3进行分析。
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Mortality and Severity of COVID-19 Patients with Chronic Obstructive Pulmonary Disease: A Meta-Analysis
Background: COVID-19 has become a pandemic in all countries including Indonesia. The death rate from COVID-19 is concentrated in elderly patients and those with comorbidities. COPD is one of the comorbidities that can worsen and even cause death. COPD ranks in the top 3 leading causes of death in the world causing 2.3 million deaths in 2019. This study aims to analyze the effect of COPD comorbidities on mortality and severity of COVID-19 patients. Subjects and Method: This study used a systematic review and meta-analysis by following the PRISMA flow chart. Search articles through journal databases, namely: Google scholar, PubMed, Science Direct and Link Springer. The articles search was done by considering the eligibility criteria defined in the PICO model. P= COVID-19 patient;I= COPD participant;C= without COPD;O= need for mechanical ventilation, ICU admission, and death. Inclusion criteria were cohort full paper articles, in English, multivariate analysis with adjusted Odds Ratio. Articles analyzed with RevMan 5.3.
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