Covid-19 fatality prediction in people with diabetes and prediabetes using a simple score at hospital admission
Abstract
AIM
We assessed predictors of in-hospital mortality in people with prediabetes and diabetes hospitalized for COVID-19 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 COVID-19. The primary outcome was in-hospital 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 in-hospital 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 in-hospital mortality with a C-statistics of 0.889 (95%CI: 0.837 – 0.941) and calibration of 1.000 (p=0.909).
CONCLUSIONS
The in-hospital 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 in-hospital mortality.
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