Merga Bedasa Taye, Ayana Galana Mamo, Raru Temam Beshir, Alemu Addisu, Negash Belay, Bekana Miressa, Birhanu Abdi, Dessie Yadeta
School of Public Health, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
School of Medicine, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Infect Drug Resist. 2022 Jun 1;15:2825-2834. doi: 10.2147/IDR.S362140. eCollection 2022.
Comorbidities and advanced age increase the risk of severe outcomes of COVID-19. In order to shift the possible unfavorable treatment outcome in patients with chronic illnesses, information related to the prevalence of chronic illness and its effect on severity of COVID-19 infection has paramount importance.
This study was aimed at assessing the prevalence of comorbidities and associated severity among COVID-19 patients admitted to COVID-19 treatment center, eastern Ethiopia.
An institution-based cross-sectional study design was employed among 422 COVID-19 patients admitted to COVID-19 treatment center, eastern Ethiopia from April 10, 2020, to August 10, 2021. Binary logistic regression was fitted to identify comorbidities and other factors associated with severe clinical outcome, associations were presented with adjusted odds ratios (AORs) and 95% confidence intervals (CIs). In all analyses statistical significance were declared at p-value <0.05.
More than half (52.4%) of the COVID-19 patients were presented with comorbid conditions. One third (34.6%) of the admitted COVID-19 patients were in severe clinical stages. Marital status (AOR=4.56; 95% CI: 1.40, 14.76), hypertension (AOR=2.08; 95% CI: 1.09, 3.97), diabetes mellitus (AOR=3.31; 95%:1.84, 5.98), and cardiovascular diseases (AOR=4.22; 95% CI: 2.18, 8.15) were identified as factors associated with severe clinical stages.
The comorbid conditions such as diabetes, hypertension, and cardiovascular diseases, and marital status were identified as significant predictors of severe outcomes of COVID-19. Therefore, identifying the people with chronic comorbidities as a risk group would help to anticipate and prevent the serious outcomes of COVID-19 infection.
合并症和高龄会增加新型冠状病毒肺炎（COVID-19）严重后果的风险。为了改变慢性病患者可能出现的不利治疗结果，与慢性病患病率及其对COVID-19感染严重程度的影响相关的信息至关重要。
本研究旨在评估埃塞俄比亚东部COVID-19治疗中心收治的COVID-19患者的合并症患病率及其相关严重程度。
采用基于机构的横断面研究设计，对2020年4月10日至2021年8月10日期间在埃塞俄比亚东部COVID-19治疗中心收治的422例COVID-19患者进行研究。采用二元逻辑回归分析确定合并症及其他与严重临床结局相关的因素，结果以调整优势比（AOR）和95%置信区间（CI）表示。在所有分析中，p值<0.05被认为具有统计学意义。
超过一半（52.4%）的COVID-19患者患有合并症。三分之一（34.6%）的收治COVID-19患者处于严重临床阶段。婚姻状况（AOR=4.56；95%CI：1.40，14.76）、高血压（AOR=2.08；95%CI：1.09，3.97）、糖尿病（AOR=3.31；95%CI：1.84，5.98）和心血管疾病（AOR=4.22；95%CI：2.18，8.15）被确定为与严重临床阶段相关的因素。
糖尿病、高血压和心血管疾病等合并症以及婚姻状况被确定为COVID-19严重后果的重要预测因素。因此，将患有慢性合并症的人群确定为风险群体将有助于预测和预防COVID-19感染的严重后果。
