Author: Sourij, Harald; Aziz, Faisal; Bräuer, Alexander; Ciardi, Christian; Clodi, Martin; Fasching, Peter; Karolyi, Mario; Kautzkyâ€Willer, Alexandra; Klammer, Carmen; Malle, Oliver; Oulhaj, Abderrahim; Pawelka, Erich; Peric, Slobodan; Ress, Claudia; Sourij, Caren; Stechemesser, Lars; Stingl, Harald; Stulnig, Thomas; Tripolt, Norbert; Wagner, Michael; Wolf, Peter; Zitterl, Andreas; Kaser, Susanne
Title: COVIDâ€19 fatality prediction in people with diabetes and prediabetes using a simple score upon hospital admission Cord-id: ocufdto4 Document date: 2020_12_4
ID: ocufdto4
Snippet: AIM: To assess predictors of inâ€hospital mortality in people with prediabetes and diabetes hospitalized for COVIDâ€19 infection and to develop a risk score for identifying those at the greatest risk of a fatal outcome. MATERIALS AND METHODS: A combined prospective and retrospective, multicentre, cohort study was conducted at 10 sites in Austria in 247 people with diabetes or newly diagnosed prediabetes who were hospitalized with COVIDâ€19. The primary outcome was inâ€hospital mortality and
Document: AIM: To assess predictors of inâ€hospital mortality in people with prediabetes and diabetes hospitalized for COVIDâ€19 infection and to develop a risk score for identifying those at the greatest risk of a fatal outcome. MATERIALS AND METHODS: A combined prospective and retrospective, multicentre, cohort study was conducted at 10 sites in Austria in 247 people with diabetes or newly diagnosed prediabetes who were hospitalized with COVIDâ€19. The primary outcome was inâ€hospital mortality and the predictor variables upon admission included clinical data, coâ€morbidities of diabetes or laboratory data. Logistic regression analyses were performed to identify significant predictors and to develop a risk score for inâ€hospital mortality. RESULTS: The mean age of people hospitalized (n = 238) for COVIDâ€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. The mortality rate in people with diabetes was numerically higher (26.7%) compared with those with prediabetes (14.9%) but without statistical significance (P = .128). A score including age, arterial occlusive disease, Câ€reactive protein, estimated glomerular filtration rate and aspartate aminotransferase levels at admission predicted inâ€hospital mortality with a Câ€statistic of 0.889 (95% CI: 0.837â€0.941) and calibration of 1.000 (P = .909). CONCLUSIONS: The inâ€hospital mortality for COVIDâ€19 was high in people with diabetes but not significantly different to the risk in people with prediabetes. A risk score using five routinely available patient variables showed excellent predictive performance for assessing inâ€hospital mortality.
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