PURPOSE

The mortality rate of severe acute pancreatitis (AP) is 20-30% even after admission to intensive care unit (ICU). Thus we aimed to develop a laboratory-based nomogram to identify AP patients at high risk for mortality.

MATERIALS AND METHODS

The primary and validation cohorts were extracted from the Medical Information Mart for Intensive Care III database (MIMIC-III). Independent predictors were determined using multiple Cox analysis and then assembled to predict survival. The performance of proposed nomogram was evaluated by Harrell's concordance index (C-index) and area under the receiver operating characteristic (AUC) analysis, and subsequently compared with conventional scoring systems.

RESULTS

A total of 342 AP patients admitted to ICU were enrolled, with 30-day, 180-day and 1-year mortality rate of 10.8%, 16.1% and 17.5%, respectively. Independent factors from multivariate Cox model to prognosticate 30-day and 1-year mortality were retrieved. The C-index of 1-year prediction nomogram (0.758, 95%CI: 0.676-0.840) were superior to several prediction approaches, and these findings were further confirmed by applying time-specific AUC analysis. Decision curve analysis indicated our nomogram was feasible in clinical practice. Similar results were observed in the validation cohort.

CONCLUSIONS

The proposed nomogram gives rise to accurately prognostic prediction for critically AP patients admitted to ICU.