Endocrinol Metab.  2024 Oct;39(5):813-818. 10.3803/EnM.2024.2014.

Impact of Diabetes on COVID-19 Susceptibility: A Nationwide Propensity Score Matching Study

Affiliations
  • 1Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
  • 2Department of Internal Medicine, Sungkyunkwan University School of Medicine, Suwon, Korea
  • 3Department of Biostatistics, College of Medicine, The Catholic University of Korea, Seoul, Korea
  • 4Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea

Abstract

Prior research has highlighted poor clinical outcomes in coronavirus disease 2019 (COVID-19)-infected patients with diabetes; however, susceptibility to COVID-19 infection in patients with diabetes has not been extensively studied. Participants aged ≥30 years who underwent COVID-19 testing from December 2019 to April 2020 were analyzed using the National Health Insurance Service data in South Korea. In a cohort comprising 29,433 1:1 propensity score-matched participants, COVID-19 positivity was significantly higher in participants with diabetes than in those without diabetes (512 [3.5%] vs. 395 [2.7%], P<0.001). Logistic regression analysis indicated that diabetes significantly increased the risk of COVID-19 test positivity (odds ratio, 1.307; 95% confidence interval, 1.144 to 1.493; P<0.001). Patients with diabetes exhibited heightened COVID-19 infection rates compared to individuals without diabetes, and diabetes increased the susceptibility to COVID-19, reinforcing the need for heightened preventive measures, particularly considering the poor clinical outcomes in this group.

Keyword

COVID-19; Epidemiology; Diabetes mellitus, type 2; Infections; Angiotensin-converting enzyme

Figure

  • Fig. 1. Logistic regression analyses for susceptibility of coronavirus disease 2019 (COVID-19) according to diabetes status. Statistical analyses were performed using logistic regression. Model 1: unadjusted; Model 2: adjusted for sex, age, region, low income, body mass index, smoking, systolic blood pressure, aspartate aminotransferase, alanine aminotransferase, gamma-glutamyltransferase, hypertension, dyslipidemia, ischemic heart disease, stroke, asthma or chronic obstructive pulmonary disease, cancer, end-stage renal disease, Charlson Comorbidity Index score, angiotensin-converting enzyme inhibitor, angiotensin II receptor blocker, steroids, and immunosuppressants; propensity score matching (PSM): adjusted for the same variables as in model 2. CI, confidence interval.


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