The invention relates to the field of medical prediction, and discloses a method for constructing a risk prediction model for children live
liver transplantation recipients to return to ICU (
Intensive Care Unit), which comprises the following steps of: incorporating factors possibly related to children
liver transplantation recipients to return to ICU through literature research and
expert consultation; general information of a child
liver transplantation recipient, ICU hospitalization information and operation related information are obtained, and ICU intraday blood examination information and immunosuppressor
drug concentration are transferred out; and screening variables related to the return ICU by adopting single-factor Cox regression. Carrying out regression on the
single factor Cox to obtain plt; and introducing a variable of 0.05 into multi-factor Cox
regression analysis, screening a model based on an AIC criterion, determining independent prediction factors influencing the outcome, and drawing a column graph. According to the method, a time-dependent ROC curve, a
calibration curve, a
consistency index and a
clinical decision curve are adopted to evaluate the line graph, a bootstrap method is adopted for internal
verification, and the process is repeated for 1000 times.