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. 2022 Sep 29:10.1111/all.15524. Online ahead of print. doi: 10.1111/all.15524

FIGURE 1.

FIGURE 1

(A–E) Comparison of AUROCs of models with one or more variables. Five logistic regressions were considered with the use of different combinations of variables: A—Age; B—Sex; C—BMI; D—Age, sex, and BMI jointly; E—Age, sex, BMI, and comorbidities jointly. For each ROC (receiver operating characteristic), its area under the curve (AUC) was computed, and the mean of 50 ROC AUC was recorded. Additionally, a mean‐ROC curve was constructed by averaging TPR's (true positive rate [TP/P]) for each FPR (false positive rate [FP/N]). (F) Odds ratio calculations of development of severe COVID‐19. Sample results were generated using an online odds ratio calculator developed based on our model (https://pacjent.gov.pl/check‐your‐risk‐severe‐covid‐19). Heatmaps presenting the values of odds ratio for developing severe course of COVID‐19 in man and woman based on age, sex, body mass index (BMI). All numbers refer to the individual with the lowest odds (the baseline value of 1)—a 20‐year‐old woman with BMI of 20 kg/m2