School of Public Health, College of Medicine and Health Science, Dilla University, Dilla, Ethiopia.
Department of Public Health, College of Health Science, Arsi University, Assela, Ethiopia.
PLoS One. 2022 May 9;17(5):e0268280. doi: 10.1371/journal.pone.0268280. eCollection 2022.
COVID-19 is a global public health problem causing high mortality worldwide. This study aimed to assess time to death and predictors of mortality among patients hospitalized for COVID-19 in the Arsi zone treatment center.
We performed a retrospective observational cohort study using medical records of laboratory-confirmed COVID-19 cases hospitalized at Bokoji Hospital COVID-19 treatment center from 1st July 2020 to 5th March 2021. We extracted data on the patients' sociodemographic and clinical characteristics from medical records of hospitalized patients retrospectively. We carried out Kaplan Meier and Cox regression analysis to estimate survival probability and investigate predictors of COVID-19 death 5% level of significance. The Adjusted Hazard Ratio (aHR) with 95% Confidence Interval (CI) was estimated and interpreted for predictors of time to death in the final cox model.
A total of 422 COVID-19 patients treated were analyzed, of these more than one tenth (11.14%) deaths, with a mortality rate of 6.35 cases per 1000 person-days. The majority (87.2%) of deaths occurred within the first 14 days of admission, with a median time-to-death of nine (IQR: 8-12) days. We found patients that age between 31 and 45 years (aHR = 2.55; 95% CI: (1.03, 6.34), older than 46 years (aHR = 2.59 (1.27, 5.30), chronic obstructive pulmonary disease (aHR = 4.60, 95%CI: (2.37, 8.91), Chronic kidney disease (aHR = 5.58, 95%CI: (1.70, 18.37), HIV/AIDS (aHR = 3.66, 95%CI: (1.20, 11.10), admission to the Intensive care unit(aHR = 7.44, 95%CI: (1.82, 30.42), and being on intranasal oxygen care (aHR = 6.27, 95%CI: (2.75, 4.30) were independent risk factors increasing risk of death from COVID-19 disease than their counterparts.
The risk of dying due to COVID-19 disease was higher among patients with HIV/AIDS, chronic obstructive pulmonary disease, and chronic kidney diseases. We also found that older people, those admitted to ICU, and patients who received intranasal oxygen care had a higher risk of dying due to COVID-19 disease. Therefore, close monitoring hospitalized patients that are old aged and those with comorbidities after hospitalization is crucial within the first ten days of admission.
COVID-19 是一个全球性的公共卫生问题，在全球范围内造成了高死亡率。本研究旨在评估在埃塞俄比亚 Arsi 地区治疗中心因 COVID-19 住院的患者的死亡时间和死亡率预测因素。
我们使用了 2020 年 7 月 1 日至 2021 年 3 月 5 日在 Bokoji 医院 COVID-19 治疗中心住院的实验室确诊 COVID-19 病例的病历，进行了回顾性观察性队列研究。我们从住院患者的病历中提取了患者的社会人口统计学和临床特征数据。我们进行了 Kaplan-Meier 和 Cox 回归分析，以估计生存率，并在 5%水平上调查 COVID-19 死亡的预测因素。我们估计并解释了最终 Cox 模型中死亡时间的预测因素的调整后的风险比 (aHR) 和 95%置信区间 (CI)。
共分析了 422 例 COVID-19 患者，其中超过十分之一（11.14%）死亡，死亡率为每 1000 人-天 6.35 例。大多数（87.2%）死亡发生在入院后的前 14 天内，中位死亡时间为 9 天（IQR：8-12）。我们发现年龄在 31 至 45 岁之间的患者（aHR = 2.55；95%CI：（1.03，6.34））、年龄大于 46 岁的患者（aHR = 2.59（1.27，5.30））、慢性阻塞性肺疾病（aHR = 4.60，95%CI：（2.37，8.91））、慢性肾脏病（aHR = 5.58，95%CI：（1.70，18.37））、艾滋病毒/艾滋病（aHR = 3.66，95%CI：（1.20，11.10））、入住重症监护病房（aHR = 7.44，95%CI：（1.82，30.42））和接受经鼻氧疗的患者（aHR = 6.27，95%CI：（2.75，4.30）），死亡风险高于其对应组。
与 HIV/AIDS、慢性阻塞性肺疾病和慢性肾脏病患者相比，COVID-19 疾病死亡的风险更高。我们还发现，年龄较大、入住 ICU 和接受经鼻氧疗的患者因 COVID-19 疾病死亡的风险更高。因此，在入院后的前十天内，对老年患者和住院后合并症患者进行密切监测至关重要。
Zotero 插件