Incidence and predictors of diabetes mellitus among severe COVID-19 patients in western Ethiopia: a retrospective cohort study

IF 0.6 Q4 ENDOCRINOLOGY & METABOLISM
Tadesse Tolossa, Matiyos Lema, B. Wakuma, Ebisa Turi, Ginenus Fekadu, Diriba Mulisa, Getahun Fetensa
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Abstract

Background: Evidence reported a high occurrence of diabetes mellitus (DM) during the time of COVID-19. This study aimed to assess the incidence of DM and its predictors among severe COVID-19 patients admitted to the treatment centre of Wollega University Referral Hospital (WURH), western Ethiopia. Methods: A facility-based retrospective cohort study was conducted among severe COVID-19 patients diagnosed using the rRT-PCR from September 30, 2020, to June 10, 2021. EpiData version 3.2 was used for data entry, and STATA version 14 for analysis. A Cox proportional hazard regression analysis was used to determine factors associated with DM. A multivariable Cox regression model with 95% CI and adjusted hazard ratio (AHR) was used to identify a significant predictor of the incidence of DM at p-value < 0.05. Results: A total of 304 patient cards with complete data were included in the final analysis. The mean age of the participants was 43.3 (SD ± 16.9) years. Of the total 304 patients admitted with severe COVID-19, 14.5% were newly diagnosed with DM with an overall incidence rate of 13.7 per 1 000 person days’ observation (PDO). The median time to occurrence of DM was 11 days (95% CI 7, 13) days. Age > 41 years (AHR = 2.54, 95% CI 1.15, 5.57), living in urban (AHR = 2.49, 95% CI 1.12, 5.52) and loss of appetite (AHR = 2.24, 95% CI 1.16, 4.34) increased the hazard of DM incidence, while presenting to the health facility after two days of clinical manifestation (AHR = 0.49, 95% CI 0.23, 0.96) decreased the risk of developing DM. Conclusions: The incidence rate of DM among patients admitted with severe COVID-19 in the study area was found to be 13.7 per 1 000 person days’ observation. Higher age, urban residence, early presentation to a health facility and loss of appetite were independent predictors of DM incidence. Therefore, we recommend early detection of DM and frequent monitoring of blood glucose for patients diagnosed with COVID-19.
埃塞俄比亚西部重症COVID-19患者糖尿病发病率及预测因素:一项回顾性队列研究
背景:有证据表明,在COVID-19期间,糖尿病(DM)的发生率很高。本研究旨在评估埃塞俄比亚西部沃勒加大学转诊医院(WURH)治疗中心收治的重症COVID-19患者中糖尿病的发病率及其预测因素。方法:对2020年9月30日至2021年6月10日使用rRT-PCR诊断的COVID-19重症患者进行基于医院的回顾性队列研究。数据录入使用EpiData 3.2版本,分析使用STATA 14版本。采用Cox比例风险回归分析确定与糖尿病相关的因素。采用95% CI和校正风险比(AHR)的多变量Cox回归模型确定41岁时糖尿病发病率的显著预测因子(AHR = 2.54, 95% CI 1.15, 5.57),居住在城市(AHR = 2.49, 95% CI 1.12, 5.52)和食欲减退(AHR = 2.24, 95% CI 1.16, 4.34)增加了糖尿病发病率的风险。临床表现2天后到卫生机构就诊(AHR = 0.49, 95% CI 0.23, 0.96)可降低发生糖尿病的风险。结论:研究区重症COVID-19住院患者的糖尿病发病率为13.7 / 1000人日。较高的年龄、城市居住、早期就诊和食欲减退是糖尿病发病率的独立预测因素。因此,我们建议对诊断为COVID-19的患者早期发现糖尿病并频繁监测血糖。
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