埃塞俄比亚西部Assosa新冠肺炎治疗中心新冠肺炎患者的康复时间及其决定因素。

IF 8.5 Q1 RESPIRATORY SYSTEM Pneumonia Pub Date : 2023-11-05 DOI:10.1186/s41479-023-00119-3
Maru Zewdu Kassie, Molalign Gualu Gobena, Yihenew Mitiku Alemu, Awoke Seyoum Tegegne
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引用次数: 0

摘要

背景:新型冠状病毒病(新冠肺炎)大流行已成为全球威胁。确定新冠肺炎康复时间旨在帮助医疗保健专业人员提供更好的护理和规划后勤。因此,该研究旨在确定影响在埃塞俄比亚西部Benishangul Gumuz地区州Assosa新冠肺炎治疗中心接受治疗的患者从新冠肺炎中恢复时间的因素。方法:对2021年2月至2021年7月在Assosa新冠肺炎治疗中心随机选择的334名新冠肺炎患者进行回顾性研究设计。使用中位生存时间、Kaplan-Meier生存估计和Log-Rank检验来描述数据并比较各组之间的生存时间。该研究使用Cox-PH模型分析了新冠肺炎患者首次康复的时间,其中风险比、p值和风险比的95%CI用于检测显著性。Schoenfeld和Cox-Snell残差用于检验模型假设。结果:总发病率为13.79/100(95%CI:10.04,18.95)人日观察。中位恢复时间为16天。在随访结束时,77.2%的患者出现了恢复事件,其余22.8%的患者接受了审查。患者的平均年龄为45.22岁。重症新冠肺炎患者(AHR = 0.7876,95%可信区间:0.7090,0.8748),症状存在(AHR = 0.2814,95%可信区间:0.1340,0.5914),合并症(AHR = 0.1627、95%置信区间:0.1396、0.1897), ≥ 90氧饱和度(AHR = 3.2370,95%可信区间:2.161,4.848),年龄较大(AHR = 0.9840,95%CI:0.971,0.9973)与新冠肺炎康复时间具有统计学显著相关性。因此,治疗中心的卫生服务提供者应严格跟踪并优先考虑老年患者、严重的新冠肺炎患者和患有其他共病的患者,重点关注呼吸困难和潜在的预先存在的疾病,以控制疾病的严重性并迅速康复。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Time to recovery and its determinant factors among patients with COVID-19 in Assosa COVID-19 treatment center, Western Ethiopia.

Background: The Novel Coronavirus disease (COVID-19) pandemic has become a global threat. Determining the time to recovery from COVID-19 is intended to assist healthcare professionals in providing better care, and planning logistics. So, the study aimed to identify the factors that affect the time to recovery from COVID-19 for patients treated at Assosa COVID-19 treatment center, Benishangul Gumuz Regional State, Western Ethiopia.

Methods: A retrospective study design was conducted on 334 randomly selected COVID-19 patients at Assosa COVID-19 treatment center from February 2021 to July 2021. The median survival time, Kaplan-Meier survival estimate, and Log-Rank test were used to describe the data and compare the survival time between groups. The study used the Cox PH model to analyze the time to the first recovery of COVID-19 patients, where hazard ratio, p-value, and 95% CI for hazard ratio were used for testing significance. Schoenfeld and Cox-Snell residuals were used for checking the model assumption.

Results: The overall incidence rate was 13.79 per 100 (95% CI: 10.04, 18.95) person-days observations. The median time to recovery was 16 days. At the end of the follow-up, 77.2% of the patients had developed an event of recovery, and the rest 22.8% were censored. The mean age of patients was 45.22 years. Severe COVID-19 patients (AHR = 0.7876, 95% CI: 0.7090, 0.8748), presence of symptoms (AHR = 0.2814, 95% CI: 0.1340, 0.5914), comorbidity (AHR = 0.1627, 95% CI: 0.1396, 0.1897), ≥ 90 oxygen saturation (AHR = 3.2370, 95% CI: 2.161, 4.848), and being older age (AHR = 0.9840, 95% CI: 0.971, 0.9973) were found to have statistically significant association with the time to recovery from COVID-19.

Conclusion: The study concludes that severe COVID-19 patients, male patients, patients having comorbidity, older age, and patients having symptoms as poor prognostic factors of COVID-19 disease and also prolonged recovery time. Therefore, health providers in treatment centers should give strict follow-up and priority to older patients, severe COVID-19 patients, and patients having another co-morbid illness by focusing on respiratory difficulties and underlying pre-existing medical conditions to manage the disease severity and recover quickly.

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Pneumonia
Pneumonia RESPIRATORY SYSTEM-
自引率
1.50%
发文量
7
审稿时长
11 weeks
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