Predictors of New-Onset Diabetes in Hospitalized Patients with SARS-CoV-2 Infection

Iulia Făgărășan, Adriana Rusu, Maria Cristea, Cornelia-Gabriela Bala, Damiana-Maria Vulturar (), Ciprian Cristea and Doina-Adina Todea
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Iulia Făgărășan: Department of Pneumology, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400332 Cluj-Napoca, Romania
Adriana Rusu: Department of Diabetes and Nutrition Diseases, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400006 Cluj-Napoca, Romania
Maria Cristea: Faculty of Electrical Engineering, Technical University of Cluj-Napoca, 26–28 G. Barițiu Street, 400027 Cluj-Napoca, Romania
Cornelia-Gabriela Bala: Department of Diabetes and Nutrition Diseases, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400006 Cluj-Napoca, Romania
Damiana-Maria Vulturar: Department of Pneumology, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400332 Cluj-Napoca, Romania
Ciprian Cristea: Faculty of Electrical Engineering, Technical University of Cluj-Napoca, 26–28 G. Barițiu Street, 400027 Cluj-Napoca, Romania
Doina-Adina Todea: Department of Pneumology, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400332 Cluj-Napoca, Romania

IJERPH, 2022, vol. 19, issue 20, 1-14

Abstract: The pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is one of the world’s most disruptive health crises. The presence of diabetes plays an important role in the severity of the infection, and a rise in newly diagnosed diabetes cases has been identified. The aim of this retrospective study was to determine the incidence of new-onset diabetes (NOD) and predictive factors with their cut-off values for patients hospitalized with COVID-19. All patients ( n = 219) hospitalized for COVID-19 during three consecutive months were included. NOD was diagnosed in 26.48% of patients. The severity of the infection, hospital admission values for fasting plasma glucose, lactate dehydrogenase (LDH), PaO2/FiO2 ratio, the peak values for leucocytes, neutrophils, C-reactive protein, triglycerides, and the need for care in the intensive care unit were predictors for the occurrence of NOD in univariate analysis, while only LDH level remained a significant predictor in the multivariable analysis. In conclusion, the results of the study showed a high incidence of NOD in patients hospitalized with COVID-19 and identified LDH levels at hospital admission as a significant predictor of NOD during SARS-CoV-2 infection. However, the persistence of NOD after the COVID-19 infection is not known, therefore, the results must be interpreted with caution.

Keywords: COVID-19; new-onset diabetes mellitus; predictors; cut-off value (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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