Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz

Logo MUG-Forschungsportal

Gewählte Publikation:

SHR Neuro Krebs Kardio Lipid Stoffw Microb

Aziz, F; Stöcher, H; Bräuer, A; Ciardi, C; Clodi, M; Fasching, P; Karolyi, M; Kautzky-Willer, A; Klammer, C; Malle, O; Aberer, F; Pawelka, E; Peric, S; Ress, C; Sourij, C; Stechemesser, L; Stingl, H; Stulnig, T; Tripolt, N; Wagner, M; Wolf, P; Zitterl, A; Moser, O; Schelkshorn, C; Kaser, S; Sourij, H; For, The, Covid-In, Diabetes, In, Austria.
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.
Viruses. 2022; 14(6): Doi: 10.3390/v14061285 [OPEN ACCESS]
Web of Science PubMed PUBMED Central FullText FullText_MUG

 

Führende Autor*innen der Med Uni Graz
Aziz Faisal
Sourij Harald
Co-Autor*innen der Med Uni Graz
Aberer Felix
Malle Oliver
Moser Othmar
Sourij Caren
Tripolt Norbert
Altmetrics:

Dimensions Citations:

Plum Analytics:

Scite (citation analytics):

Abstract:
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.
Find related publications in this database (using NLM MeSH Indexing)
Aged - administration & dosage
Aged, 80 and over - administration & dosage
Austria - epidemiology
Biomarkers - administration & dosage
COVID-19 - administration & dosage
Cohort Studies - administration & dosage
Diabetes Mellitus, Type 2 - administration & dosage
Female - administration & dosage
Hospital Mortality - administration & dosage
Humans - administration & dosage
Male - administration & dosage
Middle Aged - administration & dosage
Prediabetic State - administration & dosage
Registries - administration & dosage
Risk Factors - administration & dosage
Troponin T - administration & dosage

Find related publications in this database (Keywords)
COVID-19
SARS-CoV-2
diabetes mellitus
biomarker
© Med Uni Graz Impressum