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.
Keywords: COVID-19; SARS-CoV-2; biomarker; diabetes mellitus.
【저자키워드】 COVID-19, SARS-CoV-2, Biomarker, Diabetes Mellitus, 【초록키워드】 Biomarker, Biomarkers, Hospitalized, IL-6, disease severity, hospital, Comorbidities, Diabetes Mellitus, LDH, Type 2 diabetes mellitus, CRP, troponin, diabetes, Coagulation, Hospital mortality, Patient, Logistic regression, troponin T, age, discrimination, medication, NT-proBNP, parameters, in-hospital mortality, COVID-19 patients, Type 1 diabetes mellitus, association, Clinical parameters, prediabetes, Analysis, Inflammatory, demographic characteristics, Predictive, Logistic regression analysis, Primary outcome, calibration, laboratory measurements, Multiple logistic regression analysis, Predictor variables, men, PCT, multicenter cohort study, significantly, analyses, laboratory measurement, patients died, patients with diabete, predictor variable, type 2 diabete, with COVID-19, 【제목키워드】 registry, Prediabete,