Department of Epidemiology, School of Public Health, College of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia.
Department of Human Physiology, Faculty of Medical Sciences, College of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia.
PLoS One. 2023 Mar 1;18(3):e0282478. doi: 10.1371/journal.pone.0282478. eCollection 2023.
Since COVID-19 was announced as a worldwide pandemic, the world has been struggling with this disease. In Ethiopia, there is some information on the epidemiological characteristics of the disease and treatment outcomes of COVID-19 patients. But, there is limited evidence related to predictors of death in COVID-19 patients.
To assess the predictor of death among severely ill COVID-19 patients admitted in Hawassa city COVID-19 treatment centers.
An institution-based unmatched case-control study was conducted at Hawassa city COVID-19 treatment centers from May 2021 to June 2021. All severe COVID-19-related deaths from May 2020 to May 2021 were included in the case group whereas randomly selected discharged severe COVID-19 patients were included in the control group. Extracted information was entered into Epi-data 4.6 and exported to SPSS 25 for analysis. Multivariable binary logistic regression was run to assess predictors. The result was presented as an adjusted odds ratio with a 95% confidence interval. Variables with a 95% confidence interval which not included one were considered statistically significant.
A total of 372 (124 cases and 248 controls) patients were included in the study. Multivariable analysis revealed age ≥ 65 years (AOR = 2.62, 95% CI = 1.33-5.14), having shortness of breath (AOR = 1.87, 95% CI = 1.02-3.44), fatigue (AOR 1.78, 95% CI = 1.09-2.90), altered consciousness (AOR 3.02, 95% CI = 1.40, 6.49), diabetic Mellitus (AOR = 2.79, 95% CI = 1.16-6.73), chronic cerebrovascular disease (AOR = 2.1, 95% CI = 1.23, 3.88) were found to be predictors of death.
Older age, shortness of breath, fatigue, altered consciousness, and comorbidity were predictors of death in Severe COVID-19 patients.
自 COVID-19 被宣布为全球大流行以来，全世界一直在与这种疾病作斗争。在埃塞俄比亚，有一些关于该疾病的流行病学特征和 COVID-19 患者治疗结果的信息。但是，关于 COVID-19 患者死亡预测因素的证据有限。
评估在 Hawassa 市 COVID-19 治疗中心住院的重症 COVID-19 患者的死亡预测因素。
这是一项 2021 年 5 月至 6 月在 Hawassa 市 COVID-19 治疗中心进行的基于机构的病例对照研究。所有 2020 年 5 月至 2021 年 5 月与 COVID-19 相关的严重死亡病例均纳入病例组，而随机选择的出院严重 COVID-19 患者则纳入对照组。提取的信息被输入 Epi-data 4.6 并导出到 SPSS 25 进行分析。多变量二元逻辑回归用于评估预测因素。结果以 95%置信区间的调整比值比表示。95%置信区间不包含一个的变量被认为具有统计学意义。
共有 372 名（124 例病例和 248 例对照）患者纳入研究。多变量分析显示，年龄≥65 岁（AOR = 2.62，95%CI = 1.33-5.14）、呼吸急促（AOR = 1.87，95%CI = 1.02-3.44）、疲劳（AOR = 1.78，95%CI = 1.09-2.90）、意识改变（AOR = 3.02，95%CI = 1.40-6.49）、糖尿病（AOR = 2.79，95%CI = 1.16-6.73）、慢性脑血管疾病（AOR = 2.1，95%CI = 1.23-3.88）是死亡的预测因素。
年龄较大、呼吸急促、疲劳、意识改变和合并症是重症 COVID-19 患者死亡的预测因素。
