Department of Surgery, University Medical Center Schleswig-Holstein, Campus Luebeck, Ratzeburger Allee 160, 23562 Luebeck, Germany.
Department of Neuroradiology, University Medical Center Schleswig-Holstein, Campus Luebeck, Ratzeburger Allee 160, 23562 Luebeck, Germany.
Pancreatology. 2021 Aug;21(5):957-964. doi: 10.1016/j.pan.2021.03.009. Epub 2021 Mar 19.
Postoperative pancreatic fistula (POPF) after pancreatoduodenectomy (PD) can be associated with severe postoperative morbidity. This study aims to develop a preoperative POPF risk calculator that can be easily implemented in clinical routine.
Patients undergoing PD were identified from a prospectively-maintained database. A total of 11 preoperative baseline and CT-based radiological parameters were used in a binominal logistic regression model. Parameters remaining predictive for grade B/C POPF were entered into the risk calculator and diagnostic accuracy measures and ROC curves were calculated for a training and a test patient cohort. The risk calculator was transformed into a simple nomogram.
A total of 242 patients undergoing PD in the period from 2012 to 2018 were included. CT-imaging-based maximum main pancreatic duct (MPD) diameter (p = 0.047), CT-imaging-based pancreatic gland diameter at the anticipated resection margin (p = 0.002) and gender (p = 0.058) were the parameters most predictive for grade B/C POPF. Based on these parameters, a risk calculator was developed to identify patients at high risk of developing grade B/C POPF. In a training cohort of PD patients this risk calculator was associated with an AUC of 0.808 (95%CI 0.726-0.874) and an AUC of 0.756 (95%CI 0.669-0-830) in the independent test cohort. A nomogram applicable as a visual risk scale for quick assessment of POPF grade B/C risk was developed.
The preoperative POPF risk calculator provides a simple tool to stratify patients planned for PD according to the risk of developing postoperative grade B/C POPF. The nomogram visual risk scale can be easily integrated into clinical routine and may be a valuable model to select patients for POPF-preventive therapy or as a stratification tool for clinical trials.
胰十二指肠切除术(PD)后的术后胰瘘(POPF)可导致严重的术后发病率。本研究旨在开发一种易于在临床常规中实施的术前 POPF 风险计算器。
从一个前瞻性维护的数据库中确定接受 PD 的患者。在二项逻辑回归模型中使用了 11 个术前基线和 CT 为基础的放射学参数。进入风险计算器的参数仍然可以预测 B/C 级 POPF,并为训练和测试患者队列计算诊断准确性指标和 ROC 曲线。风险计算器被转化为一个简单的列线图。
共纳入 2012 年至 2018 年间接受 PD 的 242 例患者。基于 CT 成像的最大主胰管(MPD)直径(p=0.047)、预计切除缘处的胰腺腺径(p=0.002)和性别(p=0.058)是最能预测 B/C 级 POPF 的参数。基于这些参数,开发了一个风险计算器,以确定发生 B/C 级 POPF 风险较高的患者。在 PD 患者的训练队列中,该风险计算器的 AUC 为 0.808(95%CI 0.726-0.874),在独立测试队列中的 AUC 为 0.756(95%CI 0.669-0.830)。开发了一个适用于快速评估 POPF B/C 级风险的可视风险评分的列线图。
术前 POPF 风险计算器提供了一种简单的工具,可根据术后发生 B/C 级 POPF 的风险对计划接受 PD 的患者进行分层。列线图可视风险评分可以很容易地整合到临床常规中,可能是选择 POPF 预防治疗的患者或作为临床试验分层工具的有价值的模型。