A novel prediction model of pancreatic fistula after pancreaticoduodenectomy using only preoperative markers.

ABSTRACT:

Background

Since clinically relevant postoperative pancreatic fistula (CR-POPF) can cause intra-abdominal hemorrhage and abscesses, leading to surgery-related deaths after pancreaticoduodenectomy (PD), its preoperative prediction is important to develop strategies for surgical procedures and perioperative management. This study aimed to establish a novel prediction model for CR-POPF using preoperative markers.

Methods

On a training set of 180 patients who underwent PD at the Yamaguchi University Hospital, a combination of CR-POPF predictors were explored using the leave-one-out method with a unique discrete Bayes classifier. This predictive model was confirmed using a validation set of 366 patients who underwent PD at the Osaka University Hospital.

Results

In the trai

SUBMITTER: Matsui H 

PROVIDER: S-EPMC10571374 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature