Risk factor analysis and prediction of postoperative clinically relevant pancreatic fistula after distal pancreatectomy

• Published in: BMC surgery Vol. 23; no. 1; p. 5
• Main Authors: He, Chenchen, Zhang, Yibing, Li, Longfei, Zhao, Mingda, Wang, Chunhui, Tang, Yufu
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 11.01.2023; BioMed Central; BMC
• Subjects: Distal pancreatectomy; Fistula; Humans; Nomogram; Pancreas; Pancreatectomy; Pancreatectomy - adverse effects; Pancreatectomy - methods; Pancreatic fistula; Pancreatic Fistula - diagnosis; Pancreatic Fistula - epidemiology; Pancreatic Fistula - etiology; Pancreaticoduodenectomy - adverse effects; Postoperative Complications - diagnosis; Postoperative Complications - epidemiology; Postoperative Complications - etiology; Retrospective Studies; Risk Factors; Surgery; Distal pancreatectomy; Pancreatic fistula; Nomogram; Risk factors
• ISSN: 1471-2482; 1471-2482
• DOI: 10.1186/s12893-023-01907-w

Postoperative pancreatic fistula (POPF) following distal pancreatectomy (DP) is a serious complication. In the present study, we aimed to identify the risk factors associated with clinically relevant postoperative pancreatic fistula (CR-POPF) and establish a nomogram model for predicting CR-POPF after DP. In total, 115 patients who underwent DP at the General Hospital of Northern Theater Command between January 2005 and December 2020 were retrospectively studied. Univariate and multivariable logistic regression analyses were used to identify the independent risk factors associated with CR-POPF. Then, a nomogram was formulated based on the results of multivariable logistic regression analysis. The predictive performance was evaluated with receiver operating characteristic (ROC) curves. Decision curve and clinical impact curve analyses were used to validate the clinical application value of the model. The incidence of CR-POPF was 33.0% (38/115) in the present study. Multivariate logistic regression analysis identified the following variables as independent risk factors for POPF: body mass index (BMI) (OR 4.658, P = 0.004), preoperative albumin level (OR 7.934, P = 0.001), pancreatic thickness (OR 1.256, P = 0.003) and pancreatic texture (OR 3.143, P = 0.021). We created a nomogram by incorporating the above mentioned risk factors. The nomogram model showed better predictive value, with a concordance index of 0.842, sensitivity of 0.710, and specificity of 0.870 when compared to each risk factor. Decision curve and clinical impact curve analyses also indicated that the nomogram conferred a high clinical net benefit. Our nomogram could accurately and objectively predict the risk of postoperative CR-POPF in individuals who underwent DP, which could help clinicians with early identification of patients who might develop CR-POPF and early development of a suitable fistula mitigation strategy and postoperative management.