Tolossa Tadesse, Wakuma Bizuneh, Seyoum Gebre Dejene, Merdassa Atomssa Emiru, Getachew Motuma, Fetensa Getahun, Ayala Diriba, Turi Ebisa
Department of Public Health, Institute of Health Science, Wollega University, Nekemte, Ethiopia.
Department of Nursing, Institute of Health Science, Wollega University, Nekemte, Ethiopia.
PLoS One. 2021 Jun 10;16(6):e0252389. doi: 10.1371/journal.pone.0252389. eCollection 2021.
Despite its alarming spread throughout the world, no effective drug and vaccine is discovered for COVID-19 so far. According to WHO, the recovery time from COVID-19 was estimated to be 2 weeks for patients with mild infection, and 3 to 6 weeks for those with serious illnesses. A studies regarding the median recovery time and its predictors are limited globally and specifically in Ethiopia. Therefore, the aim of this study was to estimate the median time to recovery from COVID-19 and its predictors among COVID-19 cases admitted to WURH, Western Ethiopian.
This was a hospital-based retrospective cohort study conducted among 263 adult patients admitted with COVID-19 in WURH treatment center from March 29, 2020 through September 30, 2020. Epidata version 3.2 was used for data entry, and STATA version 14 for analysis. A Cox proportional hazard regression model was fitted to determine factors associated with recovery time. A variable with P-value ≤ 0.25 at bivariable Cox regression analysis were selected for multivariable Cox proportional model. Multivariable Cox regression model with 95% CI and Adjusted Hazard Ratio (AHR) was used to identify a significant predictor of time to recovery from COVID-19 at P-value < 0.05.
The mean age of patient was 36.8 (SD± 10.68) years. At the end of follow up, two hundred twenty seven observations were developed an event (recovered) with median time to recovery of 18 days with IQR of 10-27 days. The overall incidence rate of recovery was of 4.38 per 100 (95% CI: 3.84, 4.99) person-days observations. Being older age (AHR = 1.59, 95% CI: 1.02, 2.49), presence of fever on admission (AHR = 1.78, 95% CI: 1.21, 2.62), and comorbidity (AHR = 0.56, 95% CI, 0.34, 0.90) were found to have statistically significant association with recovery time.
In general, the median recovery time of patients with COVID-19 cases was long, and factors such as older age group, presence of fever, and comorbidity was an independent predictors of delayed recovery from COVID-19. Intervention to further reduce recovery time at treatment center has to focus on patients those shows symptoms and with comorbidities.
尽管新冠病毒在全球范围内迅速传播,但目前尚未发现针对新冠病毒的有效药物和疫苗。据世界卫生组织称,轻度感染患者从新冠病毒中康复的时间估计为2周,重症患者为3至6周。关于新冠病毒中位康复时间及其预测因素的研究在全球范围内,特别是在埃塞俄比亚非常有限。因此,本研究的目的是估计埃塞俄比亚西部WURH收治的新冠病毒病例的中位康复时间及其预测因素。
这是一项基于医院的回顾性队列研究,研究对象为2020年3月29日至2020年9月30日在WURH治疗中心收治的263例成年新冠病毒患者。使用Epidata 3.2进行数据录入,使用STATA 14进行分析。采用Cox比例风险回归模型来确定与康复时间相关的因素。在双变量Cox回归分析中P值≤0.25的变量被选入多变量Cox比例模型。使用具有95%置信区间和调整后风险比(AHR)的多变量Cox回归模型,在P值<0.05时确定新冠病毒康复时间的显著预测因素。
患者的平均年龄为36.8(标准差±10.68)岁。随访结束时,227例观察对象出现康复事件,中位康复时间为18天,四分位间距为10 - 27天。康复的总体发病率为每100人日观察数4.38例(95%置信区间:3.84,4.99)。年龄较大(AHR = 1.59,95%置信区间:1.02,2.49)、入院时发热(AHR = 1.78,95%置信区间:1.21,2.62)和合并症(AHR = 0.56,95%置信区间,0.34,0.90)被发现与康复时间有统计学显著关联。
总体而言,新冠病毒患者的中位康复时间较长,年龄较大、发热和合并症等因素是新冠病毒康复延迟的独立预测因素。治疗中心进一步缩短康复时间的干预措施应侧重于有症状和合并症的患者。