4.7 Article

COVID-19 fatality prediction in people with diabetes and prediabetes using a simple score upon hospital admission

期刊

DIABETES OBESITY & METABOLISM
卷 23, 期 2, 页码 589-598

出版社

WILEY
DOI: 10.1111/dom.14256

关键词

coronavirus infection; diabetes; prediabetic state

资金

  1. NovoNordisk
  2. Novartis
  3. Sanofi
  4. AstraZeneca
  5. Boehringer Ingelheim

向作者/读者索取更多资源

This study aimed to assess predictors of in-hospital mortality in people with prediabetes and diabetes hospitalized for COVID-19 infection, finding that the in-hospital mortality rate was higher in people with diabetes compared to those with prediabetes but without statistical significance. A risk score using five routinely available patient variables, including age, arterial occlusive disease, C-reactive protein, estimated glomerular filtration rate, and aspartate aminotransferase levels, showed excellent predictive performance for assessing in-hospital mortality.
Aim To assess predictors of in-hospital mortality in people with prediabetes and diabetes hospitalized for COVID-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 COVID-19. The primary outcome was in-hospital mortality and the predictor variables upon admission included clinical data, co-morbidities of diabetes or laboratory data. Logistic regression analyses were performed to identify significant predictors and to 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. 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, C-reactive protein, estimated glomerular filtration rate and aspartate aminotransferase levels at admission predicted in-hospital mortality with a C-statistic of 0.889 (95% CI: 0.837-0.941) and calibration of 1.000 (P = .909). Conclusions The in-hospital mortality for COVID-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 in-hospital mortality.

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