Table 1..
Clinical characteristics and laboratory parameters of children who were admitted to the PICUs (n = 330).
Table 2..
Multivariable full model of factors associated with 28-day ICU mortality in critically ill children (n = 330).
Table 3..
Final model of factors that are associated with ICU mortality in critically ill children (n = 330).
Fig 1.
Discrimination and calibration performance of Early Screening Critically Ill Children (ESCIC) score.
(A) Area under the receiver operating characteristics (AuROC) curve of Early Screening Critically Ill Children (ESCIC) score compared to PIM-2 score. (B) Model calibration plot of agreement between model predicted odds and observed proportion of children with mortality.
Table 4..
Prediction score for anticipating ICU mortality in critically ill children (n = 330).
Table 5..
Multivariable full model of factors that are associated with overall ICU mortality in critically ill children (n = 330).