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在提比贝格洪专科医院护理和治疗中心住院的 COVID-19 患者的康复时间及其预测因素:一项回顾性随访研究,埃塞俄比亚西北部。

Time to Recovery from COVID-19 and Its Predictors in Patients Hospitalized at Tibebe Ghion Specialized Hospital Care and Treatment Center, A Retrospective Follow-Up Study, North West Ethiopia.

机构信息

Department of Public Health Emergency, Humedica e.V International Aid Organization, Addis Ababa, Ethiopia.

Department of Epidemiology and Biostatistics, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.

出版信息

Glob Health Epidemiol Genom. 2023 Sep 12;2023:5586353. doi: 10.1155/2023/5586353. eCollection 2023.

DOI:10.1155/2023/5586353
PMID:37731530
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10508999/
Abstract

BACKGROUND

Since the end of 2019, the world has been facing a new coronavirus disease 19 (COVID-19), which is considered a global pandemic. COVID-19 is considered a major public health burden due to the uncontrolled morbidity and mortality of the global community. The World Health Organization estimates the recovery time as 2 weeks for patients with mild infection and 3 to 6 weeks for those with serious illnesses. The recovery time and its predictors are not well studied in Ethiopia yet. Therefore, the aim of this study was to estimate time to recovery from COVID-19 and its predictors among COVID-19 patients admitted to Tibebe Ghion Specialized Hospital care and treatment center, North West Ethiopia.

METHODS

An institution-based retrospective follow-up study was conducted among 452 COVID-19 patients admitted to Tibebe Ghion Specialized Hospital from March 2020 to September 2021. Simple random sampling using a table of random number generators was used to select study units. Data entry and analysis were performed using EpiData 3.1 and Stata version 14, respectively. Bivariable and multivariable Cox proportional hazard analyses were used to identify predictors of recovery time. An AHR at a 5% level of significance was used to identify significant predictors.

RESULTS

: Among 452 COVID-19 patients, 437 (88%) were recovered, with a median recovery time of 9 days. Recovery time was significantly related to age (AHR = 0.98; 95% CI = 0.97, 0.99), oxygen saturation (AHR = 0.42; 95% CI = 0.31, 0.56), shortness of breath (AHR = 0.65; 95% CI = 0.47, 0.85), disease severity (moderate (AHR = 0.63; 95% CI = 0.47, 0.85) and severe (AHR = 0.32; 95% CI = 0.22, 0.47)), and comorbidities (AHR = 0.67; 95% CI = 0.53, 0.84). : The overall median recovery time was 9 days. Older age, low oxygen saturation, shortness of breath, disease severity (moderate and severe), history of comorbidities, and high-level of WBC were predictors of delayed recovery time. On the other hand, corticosteroid use significantly shortens the median recovery time of COVID-19 patients. Thus, patients presented with older age, low oxygen saturation, shortness of breath, moderate and severe COVID-19 disease, comorbidities, and increased WBC need to be closely monitoring and followed up by healthcare providers. In addition, there should be special attention during the administration of corticosteroid.

摘要

背景

自 2019 年底以来,世界一直面临着一种新型冠状病毒病 19(COVID-19),这种疾病被认为是一种全球大流行。由于全球社区发病率和死亡率不受控制,COVID-19 被认为是一个主要的公共卫生负担。世界卫生组织估计,轻度感染患者的康复时间为 2 周,严重疾病患者为 3 至 6 周。在埃塞俄比亚,COVID-19 患者的康复时间及其预测因素尚未得到很好的研究。因此,本研究旨在估计 COVID-19 患者在提比贝格翁专科医院接受治疗和护理中心治疗后的康复时间及其预测因素。

方法

这是一项在 2020 年 3 月至 2021 年 9 月期间在提比贝格翁专科医院接受治疗的 452 例 COVID-19 患者中进行的基于机构的回顾性随访研究。使用随机数表的简单随机抽样选择研究单位。使用 EpiData 3.1 和 Stata 版本 14 分别进行数据录入和分析。使用单变量和多变量 Cox 比例风险分析来确定恢复时间的预测因素。使用 5%水平的 AHR 来确定显著的预测因素。

结果

在 452 例 COVID-19 患者中,437 例(88%)康复,中位康复时间为 9 天。康复时间与年龄(AHR=0.98;95%CI=0.97,0.99)、血氧饱和度(AHR=0.42;95%CI=0.31,0.56)、呼吸急促(AHR=0.65;95%CI=0.47,0.85)、疾病严重程度(中度(AHR=0.63;95%CI=0.47,0.85)和重度(AHR=0.32;95%CI=0.22,0.47))和合并症(AHR=0.67;95%CI=0.53,0.84)显著相关。总体中位数康复时间为 9 天。年龄较大、低血氧饱和度、呼吸急促、疾病严重程度(中度和重度)、合并症和白细胞计数较高是恢复时间延迟的预测因素。另一方面,皮质类固醇的使用显著缩短了 COVID-19 患者的中位康复时间。因此,年龄较大、血氧饱和度较低、呼吸急促、中度和重度 COVID-19 疾病、合并症和白细胞计数增加的患者需要密切监测并由医疗保健提供者进行随访。此外,在给予皮质类固醇时应特别注意。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e42a/10508999/97bd1532a87d/GHEG2023-5586353.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e42a/10508999/a4df62351957/GHEG2023-5586353.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e42a/10508999/5780da410d5c/GHEG2023-5586353.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e42a/10508999/1f757da76baa/GHEG2023-5586353.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e42a/10508999/77eef9315b73/GHEG2023-5586353.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e42a/10508999/b2efe43c9d9c/GHEG2023-5586353.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e42a/10508999/97bd1532a87d/GHEG2023-5586353.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e42a/10508999/a4df62351957/GHEG2023-5586353.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e42a/10508999/5780da410d5c/GHEG2023-5586353.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e42a/10508999/1f757da76baa/GHEG2023-5586353.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e42a/10508999/77eef9315b73/GHEG2023-5586353.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e42a/10508999/b2efe43c9d9c/GHEG2023-5586353.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e42a/10508999/97bd1532a87d/GHEG2023-5586353.006.jpg

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