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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Iulia Făgărășan & Adriana Rusu & Maria Cristea & Cornelia-Gabriela Bala & Damiana-Maria Vulturar & Ciprian Cristea & Doina-Adina Todea, 2022. "Predictors of New-Onset Diabetes in Hospitalized Patients with SARS-CoV-2 Infection," IJERPH, MDPI, vol. 19(20), pages 1-14, October.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:20:p:13230-:d:942052
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    References listed on IDEAS

    as
    1. Sławomir Butkiewicz & Artur Zaczyński & Michał Hampel & Igor Pańkowski & Robert Gałązkowski & Patryk Rzońca, 2022. "Analysis of Risk Factors for In-Hospital Death Due to COVID-19 in Patients Hospitalised at the Temporary Hospital Located at the National Stadium in Warsaw: A Retrospective Analysis," IJERPH, MDPI, vol. 19(7), pages 1-11, March.
    2. Vicente Paulo Alves & Francine Golghetto Casemiro & Bruno Gedeon de Araujo & Marcos André de Souza Lima & Rayssa Silva de Oliveira & Fernanda Tamires de Souza Fernandes & Ana Vitória Campos Gomes & Da, 2021. "Factors Associated with Mortality among Elderly People in the COVID-19 Pandemic (SARS-CoV-2): A Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 18(15), pages 1-9, July.
    3. Abdulaziz Alqahtani & Edrous Alamer & Mushtaq Mir & Ali Alasmari & Mohammed Merae Alshahrani & Mohammed Asiri & Irfan Ahmad & Abdulaziz Alhazmi & Abdullah Algaissi, 2022. "Bacterial Coinfections Increase Mortality of Severely Ill COVID-19 Patients in Saudi Arabia," IJERPH, MDPI, vol. 19(4), pages 1-11, February.
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