Dessie Anteneh Mengist, Animut Zelalem, Genet Almaw, Yenew Chalachew
Department of Public Health, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Department of Public Health, Fahoba Health and Business College, Debre Markos, Ethiopia.
Infect Drug Resist. 2022 Aug 27;15:4907-4913. doi: 10.2147/IDR.S380591. eCollection 2022.
Risk factors associated with COVID-19 incidence of death would aid to notify the most favorable management strategies, hang about undecided, Moreover, studies regarding this issue are limited in Ethiopia and no region-wise study is conducted. Hence, the study investigated the COVID-19 incidence of death and its predictors in the Amhara regional state, Ethiopia.
A facility-based retrospective survey was conducted at all Amhara regional state COVID-19 treatment centers from 13 March 2020, through 13 January 2022. Epidata version 3.1 and STATA version 14 were used for data entry and analysis, respectively. Linearized survey analysis in a stratified Cox regression model was fitted to identify independent risk factors. P-value with 95% CI for hazard ratio was used for testing the significance at alpha 0.05.
A total of 28,533 study participants were analyzed in this study. Of these, 2873 (11.2%) died and 25,660 (88.8%) were recovered from COVID-19. The death rate was 11.78 per 1000 person-days of observation with a median survival time of 32 days with IQR [12, 44]. Patients with co-morbidities (AHR = 1.54: 95% CI: 1.51-1.55), patients with age <5-year (AHR = 1.69: 95% CI: 1.78-1.81) and patients with age 60+ years (AHR = 2.91: 95% CI: 1.79-3.99), patients with asymptomatic diseases condition (AHR =1.15: 95% CI: 1.01-1.19), and being male (AHR = 1.22: 95% CI: 1.18-1.27) were independent significant risk factors of death from COVID-19.
A relatively high incidence of death from COVID-19 was found in this study. Significant risk factors were identified as patients with age <5 years, patients with age 60+ Years, being male, patients having at least one comorbid condition, and patients with asymptomatic disease conditions. These factors should be taken into consideration for a strategy of quarantining and treating COVID-19 patients.
与新冠病毒疾病死亡发生率相关的风险因素将有助于确定最有利的管理策略,但目前仍悬而未决。此外,埃塞俄比亚关于这个问题的研究有限,且没有进行区域层面的研究。因此,本研究调查了埃塞俄比亚阿姆哈拉地区州新冠病毒疾病的死亡发生率及其预测因素。
在2020年3月13日至2022年1月13日期间,对阿姆哈拉地区州所有新冠病毒疾病治疗中心进行了一项基于机构的回顾性调查。分别使用Epidata 3.1版和STATA 14版进行数据录入和分析。采用分层Cox回归模型进行线性化调查分析,以确定独立风险因素。使用95%置信区间的风险比P值在α=0.05水平检验显著性。
本研究共分析了28533名研究参与者。其中,2873人(11.2%)死亡,25660人(88.8%)从新冠病毒疾病中康复。每1000人日观察的死亡率为11.78,中位生存时间为32天,四分位间距为[12, 44]。合并症患者(风险比=1.54:95%置信区间:1.51 - 1.55)、年龄<5岁的患者(风险比=1.69:95%置信区间:1.78 - 1.81)、年龄≥60岁的患者(风险比=2.91:95%置信区间:1.79 - 3.99)、无症状疾病状态的患者(风险比=1.15:95%置信区间:1.01 - 1.19)以及男性(风险比=1.22:95%置信区间:1.18 - 1.27)是新冠病毒疾病死亡的独立显著风险因素。
本研究发现新冠病毒疾病的死亡发生率相对较高。确定的显著风险因素为年龄<5岁的患者、年龄≥60岁的患者、男性、至少有一种合并症的患者以及无症状疾病状态的患者。在制定新冠病毒疾病患者的隔离和治疗策略时应考虑这些因素。