Multidimensional Nomogram to Predict Postoperative Pancreatic Fistula after Minimally Invasive Pancreaticoduodenectomy

Abstract

Background: Clinically relevant postoperative pancreatic fistula (CR-POPF) is an inherently severe risk of pancreatic resection. Previous research has proposed models that identify risk factors and predict CR-POPF, although these are rarely applicable to minimally invasive pancreaticoduodenectomy (MIPD). This study aimed to evaluate the individual risks of CR-POPF and to propose a nomogram for predicting POPF in MIPD.

Patients and methods: We retrospectively reviewed the medical records of 429 patients who underwent MIPD. In the multivariate analysis, the Akaike information criterion stepwise logistic regression method was used to select the final model to develop the nomogram.

Results: Of 429 patients, 53 (12.4%) experienced CR-POPF. On multivariate analysis, pancreatic texture (p = 0.001), open conversion (p = 0.008), intraoperative transfusion (p = 0.011), and pathology (p = 0.048) were identified as independent predictors of CR-POPF. The nomogram was developed based on patient, pancreatic, operative, and surgeon factors by using the following four additional clinical factors as variables: American Society of Anesthesiologists class ≥ III, size of pancreatic duct, type of surgical approach, and < 40 cases of MIPD experience.

Conclusions: A multidimensional nomogram was developed to predict CR-POPF after MIPD. This nomogram and calculator can help surgeons anticipate, select, and manage critical complications.