Predictors of COVID-19 outcome in type 2 diabetes mellitus: a hospital-based study

Author:

Elsayed Amira M.ORCID,Elsayed Mohamad S.,Mansour Ahmed E.,Mahedy Ahmed W.,Araby Eman M.,Morsy Maha H.,Abd Elmoniem Rasha O.

Abstract

Abstract Background Diabetes has become a significant risk factor for COVID-19-related severe illness and death. Methods This was a retrospective cohort study of 104 patients, with or without type 2 (diabetes mellitus) DM, diagnosed with COVID-19 between June and September 2021 in Benha University Hospital, Egypt. Outcome measures including discharge after recovery, transfer to ICU and intubation, or death were recorded. Univariate and multivariate logistic regression analysis was done for the prediction of death in diabetic patients. Results Length of hospital stay was significantly higher in diabetic (median 15 days) compared to non-diabetic patients (median 10 days). ICU admission and intubation among diabetic patients were substantially higher than non-diabetics. Univariate regression analysis established that old age (p = 0.02: OR = 1.03: CI 1.00–1.07), multiple comorbidities (p = 0.005: OR = 8.66: CI 1.9–38.5), diabetic complications (p = 0.000: OR = 6.401:CI 2.5–16.3), HbA1c (p = 0.01: OR = 1.22: CI 1.04–1.43), length of hospital stay (p = 0.005: OR = 1.07: CI 1.02–1.12), and ICU admission (p = 0.00: OR = 44.1: CI 9.4–205.3) were predictors of death for diabetic patients as well as neutrophilic count, D-dimer, and CRP levels. Multivariate regression analysis concluded that ICU admission was the most significant predictor of death in diabetic patients. Conclusion Type 2 DM patients, infected with the COVID-19 virus exhibited more admission to ICU and intubation with longer hospital stays compared to those without diabetes with a similar death rate. Old age, HbA1C, comorbidities, diabetic complications, length of hospital stay and ICU admission, and inflammatory parameters were significant predictors of death in diabetic patients.

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science,Cell Biology,Developmental Biology,Embryology,Anatomy

全球学者库

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"全球学者库"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前全球学者库共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2023 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3