Your browser doesn't support javascript.
Predictors of New-Onset Diabetes in Hospitalized Patients with SARS-CoV-2 Infection.
Fagarașan, Iulia; Rusu, Adriana; Cristea, Maria; Bala, Cornelia-Gabriela; Vulturar, Damiana-Maria; Cristea, Ciprian; Todea, Doina-Adina.
  • Fagarașan I; Department of Pneumology, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400332 Cluj-Napoca, Romania.
  • Rusu A; Department of Diabetes and Nutrition Diseases, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400006 Cluj-Napoca, Romania.
  • Cristea M; Faculty of Electrical Engineering, Technical University of Cluj-Napoca, 26-28 G. Barițiu Street, 400027 Cluj-Napoca, Romania.
  • Bala CG; Department of Diabetes and Nutrition Diseases, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400006 Cluj-Napoca, Romania.
  • Vulturar DM; Department of Pneumology, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400332 Cluj-Napoca, Romania.
  • Cristea C; Faculty of Electrical Engineering, Technical University of Cluj-Napoca, 26-28 G. Barițiu Street, 400027 Cluj-Napoca, Romania.
  • Todea DA; Department of Pneumology, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400332 Cluj-Napoca, Romania.
Int J Environ Res Public Health ; 19(20)2022 Oct 14.
Article in English | MEDLINE | ID: covidwho-2258594
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.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Diabetes Mellitus / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Year: 2022 Document Type: Article Affiliation country: Ijerph192013230

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Diabetes Mellitus / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Year: 2022 Document Type: Article Affiliation country: Ijerph192013230