Time-to-survival from COVID-19 disease and its associated factors in Osun State, Nigeria.

Q3 Pharmacology, Toxicology and Pharmaceutics
O A Olowe, O Adeagbo, P B Olaitan, R A Olowe, T Opakunle, O D Eniade, A T Olarinmoye, J Atolagbe
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Abstract

Introduction This study focused on estimating the probability of survival and the specific time to survival from COVID-19 among patients who had COVID-19 in Osun state, Nigeria. Also, we examined some factors associated with the time to survival among COVID-19 patients in Osun state, Nigeria. Methods The retrospective data of 2596 records of COVID-19 patients in Osun state were analysed in this study. The outcome variable was the "COVID-19 treatment outcome (survived=1, dead=0)". The time date used in the survival analysis was treatment duration (in days). The explanatory variables were demographic characteristics, type of health facility, vaccination status, symptoms, and mode of admission. The descriptive statistics was computed and presented. Kaplan Meier was used to estimate the median time to survival. Bivariate analysis and multivariate analysis were done using the Log-Rank test and Cox regression, respectively. P values were set at P<0.05. Results The mean age was observed to be 40 (SD=17.51) years, ranging from mostly, 2 months to 98 years old. More (56.1%) of the participants were males. Most (99.5%) of them were Nigerians. Only 1.4% were vaccinated. The survival rate from COVID-19 was 98.1% in Osun State. The median time for survival was 14 (IQR= 14- 16) days. COVID-19 reduces as the number of days for being on treatment increases. Unvaccinated (HR=0.93, 95%CI: 0.43-2.03) and those whose vaccination status was unknown (HR=0.52, 95%CI: 0.37-0.74) were less likely to survive COVID-19 diseases. Conclusion The Survival rate was high, the observed median time to survival was 14 days, and the probability of survival reduces as the number of days of being on treatment for COVID-19 increases. Also, gender, vaccination, type of care, and ethnicity were associated with survival time. Similarly, unvaccinated and inpatients were less likely to rapidly survive COVID-19. This study recommends that the COVID-19 vaccine should be encouraged among patients who have the COVID-19 virus. Also, home care may be further explored to assess its effectiveness in caring for COVID-19 patients. In the same vein, COVID-19 data capturing, and databases need strengthening in Nigeria.

尼日利亚奥松州COVID-19疾病的生存时间及其相关因素。
本研究的重点是估计尼日利亚奥松州COVID-19患者的生存概率和具体生存时间。此外,我们还研究了与尼日利亚奥松州COVID-19患者生存时间相关的一些因素。方法对奥松州2596例新冠肺炎患者的回顾性资料进行分析。结果变量为“COVID-19治疗结果(存活=1,死亡=0)”。生存分析中使用的时间日期是治疗持续时间(以天为单位)。解释变量包括人口统计学特征、卫生设施类型、疫苗接种状况、症状和入院方式。计算并给出了描述性统计。Kaplan Meier用于估计中位生存时间。双因素分析和多因素分析分别采用Log-Rank检验和Cox回归。P值设为P
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来源期刊
Infectious disorders drug targets
Infectious disorders drug targets Pharmacology, Toxicology and Pharmaceutics-Pharmacology
CiteScore
3.10
自引率
0.00%
发文量
123
期刊介绍: Infectious Disorders - Drug Targets aims to cover all the latest and outstanding developments on the medicinal chemistry, pharmacology, molecular biology, genomics and biochemistry of contemporary molecular targets involved in infectious disorders e.g. disease specific proteins, receptors, enzymes, genes. Each issue of the journal contains a series of timely in-depth reviews written by leaders in the field covering a range of current topics on drug targets involved in infectious disorders. As the discovery, identification, characterization and validation of novel human drug targets for anti-infective drug discovery continues to grow, this journal will be essential reading for all pharmaceutical scientists involved in drug discovery and development.
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