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了解 COVID-19 大流行对布隆迪基于医院的死亡率的影响:两个时间段的横断面研究比较。

Understanding the influence of the COVID-19 pandemic on hospital-based mortality in Burundi: a cross-sectional study comparing two time periods.

机构信息

Research and Innovation Unit, Department of Community Medicine, Faculty of Medicine, University of Burundi, Bujumbura, Burundi.

Regional Adviser for Sexual and Reproductive Health, World Health Organization Regional Office for Africa, Brazaville, Congo.

出版信息

Epidemiol Infect. 2020 Nov 13;148:e280. doi: 10.1017/S0950268820002770.

DOI:10.1017/S0950268820002770
PMID:33183401
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7711354/
Abstract

This study used hospital records from two time periods to understand the implication of COVID-19 on hospital-based deaths in Burundi. The place of COVID-19 symptoms was sought among deaths that occurred from January to May 2020 (during the pandemic) vs. January to May 2019 (before the pandemic). First, death proportions were tested to seize differences between mortality rates for each month in 2020 vs. 2019. In the second time, we compared mean time-to-death between the two periods using the Kaplan-Meier survival curve. Finally, a logistic regression was fitted to assess the likelihood of dying from COVID-19 symptoms between the two periods. We found statistical evidence of a higher death rate in May 2020 as compared to May 2019. Moreover, death occurred faster in 2020 (mean = 6.7 days, s.d. = 8.9) than in 2019 (mean = 7.8 days, s.d. = 10.9). Unlike in 2019, being a male was significantly associated with a much lower likelihood of dying with one or more COVID-19 symptom(s) in 2020 (odds ratio 0.35, 95% confidence interval 0.14-0.87). This study yielded some evidence for a possible COVID-19-related hospital-based mortality trend for May 2020. However, considering the time-constraint of the study, further similar studies over a longer period of time need to be conducted to trace a clearer picture on COVID-19 implication on hospital-based deaths in Burundi.

摘要

本研究利用两个时间段的医院记录,了解 COVID-19 对布隆迪基于医院的死亡的影响。在 2020 年 1 月至 5 月(大流行期间)与 2019 年 1 月至 5 月(大流行前)之间发生的死亡病例中寻找 COVID-19 症状的地点。首先,测试死亡比例以抓住 2020 年每个月的死亡率与 2019 年的死亡率之间的差异。其次,使用 Kaplan-Meier 生存曲线比较两个时期的平均死亡时间。最后,拟合逻辑回归以评估两个时期 COVID-19 症状死亡的可能性。我们发现有统计学证据表明,与 2019 年相比,2020 年 5 月的死亡率更高。此外,2020 年的死亡速度更快(平均值=6.7 天,标准差=8.9),而 2019 年的死亡速度较慢(平均值=7.8 天,标准差=10.9)。与 2019 年不同的是,在 2020 年,男性的死亡风险明显较低,出现一种或多种 COVID-19 症状的可能性低(比值比 0.35,95%置信区间 0.14-0.87)。本研究为 2020 年 5 月可能存在的 COVID-19 相关基于医院的死亡率趋势提供了一些证据。然而,考虑到研究的时间限制,需要进行更多类似的、时间跨度更长的研究,以更清晰地了解 COVID-19 对布隆迪基于医院的死亡的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2372/7711354/7c3c52f07703/S0950268820002770_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2372/7711354/4435d5e45251/S0950268820002770_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2372/7711354/363cc5ed6681/S0950268820002770_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2372/7711354/7c3c52f07703/S0950268820002770_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2372/7711354/4435d5e45251/S0950268820002770_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2372/7711354/363cc5ed6681/S0950268820002770_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2372/7711354/7c3c52f07703/S0950268820002770_fig3.jpg

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