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Fig. 1 | Respiratory Research

Fig. 1

From: A blood microRNA classifier for the prediction of ICU mortality in COVID-19 patients: a multicenter validation study

Fig. 1

Construction of the 4-blood microRNA classifier. (A) Violin plot comparing validated microRNA levels between survivors and nonsurvivors to ICU stay. Between-group differences were analyzed using linear models for arrays. P-values describe the significance level for each comparison; (B) hazard ratio (HR) and 95% confidence interval (90% CI) for each validated microRNA. Cox regression models include the dichotomized levels of individual miRNAs; (C) Blood microRNA classifier constructed using a selection process based on relaxed least absolute shrinkage and selection operator (LASSO) model; (D) Kaplan‒Meier estimations for the 4-blood microRNA classifier. (E-G) Combination of the 4-blood microRNA classifier with established clinical predictors or contemporaneous prognostic scores. (E) Clinical model (n = 373); (F) APACHE-II (n = 352); (G) SOFA (n = 379). The graph displays the hazard ratio (HR) and 95% confidence interval (90% CI) for each variable. Cox regression models included the dichotomized levels of the 4-blood microRNA classifier. The hazard ratio (95% CI) is displayed as a 1-SD change for continuous predictors

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