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?:abstract
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AIM We assessed predictors of inhospital mortality in people with prediabetes and diabetes hospitalized for COVID19 infection and developed a risk score for identifying those at the highest risk of a fatal outcome. MATERIALS AND METHODS A combined prospective and retrospective multicenter cohort study was conducted in 10 sites in Austria on 247 people with diabetes or newly diagnosed prediabetes, who were hospitalised for COVID19. The primary outcome was inhospital mortality and predictor variables at the time of admission included clinical data, comorbidities of diabetes or laboratory data. Logistic regression analyses were performed to identify significant predictors and develop a risk score for inhospital mortality. RESULTS The mean age of people hospitalized (n=238) for COVID-19 was 71.1{+/-}12.9 years, 63.6% were males, 75.6% had type 2 diabetes, 4.6% had type 1 diabetes, and 19.8% had prediabetes. The mean duration of hospital stay was 18{+/-}16 days, 23.9% required ventilation therapy, and 24.4% died in the hospital. Mortality rate in people with diabetes was numerically higher (26.7%) as compared to those with prediabetes (14.9%) but without statistical significance (p=0.128). A score including age, arterial occlusive disease, CRP, eGFR and AST levels at admission predicted inhospital mortality with a Cstatistics of 0.889 (95%CI: 0.837-0.941) and calibration of 1.000 (p=0.909). CONCLUSIONS The inhospital mortality for COVID-19 was high in people with diabetes and not significantly different to the risk in people with prediabetes. A risk score using five routinely available patient parameters demonstrated excellent predictive performance for assessing inhospital mortality.
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