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Biomarkers Predictive for In-Hospital Mortality in Patients with Diabetes Mellitus and Prediabetes Hospitalized for COVID-19 in Austria : An Analysis of COVID-19 in Diabetes Registry

Title data

Aziz, Faisal ; Stöcher, Hannah ; Bräuer, Alexander ; Ciardi, Christian ; Clodi, Martin ; Fasching, Peter ; Karolyi, Mario ; Kautzky-Willer, Alexandra ; Klammer, Carmen ; Malle, Oliver ; Aberer, Felix ; Pawelka, Erich ; Peric, Slobodan ; Ress, Claudia ; Sourij, Caren ; Stechemesser, Lars ; Stingl, Harald ; Stulnig, Thomas ; Tripolt, Norbert ; Wagner, Michael ; Wolf, Peter ; Zitterl, Andreas ; Moser, Othmar ; Schelkshorn, Christian ; Kaser, Susanne ; Sourij, Harald:
Biomarkers Predictive for In-Hospital Mortality in Patients with Diabetes Mellitus and Prediabetes Hospitalized for COVID-19 in Austria : An Analysis of COVID-19 in Diabetes Registry.
In: Viruses. Vol. 14 (2022) Issue 6 . - 1285.
ISSN 1999-4915
DOI: https://doi.org/10.3390/v14061285

Abstract in another language

Background: This study assessed the predictive performance of inflammatory, hepatic, coagulation, and cardiac biomarkers in patients with prediabetes and diabetes mellitus hospitalized for COVID-19 in Austria. Methods: This was an analysis of a multicenter cohort study of 747 patients with diabetes mellitus or prediabetes hospitalized for COVID-19 in 11 hospitals in Austria. The primary outcome of this study was in-hospital mortality. The predictor variables included demographic characteristics, clinical parameters, comorbidities, use of medication, disease severity, and laboratory measurements of biomarkers. The association between biomarkers and in-hospital mortality was assessed using simple and multiple logistic regression analyses. The predictive performance of biomarkers was assessed using discrimination and calibration. Results: In our analysis, 70.8% had type 2 diabetes mellitus, 5.8% had type 1 diabetes mellitus, 14.9% had prediabetes, and 8.6% had other types of diabetes mellitus. The mean age was 70.3 ± 13.3 years, and 69.3% of patients were men. A total of 19.0% of patients died in the hospital. In multiple logistic regression analysis, LDH, CRP, IL-6, PCT, AST-ALT ratio, NT-proBNP, and Troponin T were significantly associated with in-hospital mortality. The discrimination of NT-proBNP was 74%, and that of Troponin T was 81%. The calibration of NT-proBNP was adequate (p = 0.302), while it was inadequate for Troponin T (p = 0.010). Conclusion: Troponin T showed excellent predictive performance, while NT-proBNP showed good predictive performance for assessing in-hospital mortality in patients with diabetes mellitus hospitalized with COVID-19. Therefore, these cardiac biomarkers may be used for prognostication of COVID-19 patients.

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties > Faculty of Cultural Studies
Faculties > Faculty of Cultural Studies > Department of Sport Science > Chair Exercise Physiology > Chair Exercise Physiology - Univ.-Prof. Dr. Othmar Moser
Faculties > Faculty of Cultural Studies > Department of Sport Science > Professor Sport Science IV - Sports Medicine and Sports Physiology
Result of work at the UBT: Yes
DDC Subjects: 600 Technology, medicine, applied sciences > 610 Medicine and health
Date Deposited: 30 May 2023 08:00
Last Modified: 30 May 2023 08:00
URI: https://eref.uni-bayreuth.de/id/eprint/76587