Li Yichen, Zhang Haoqi, Gong Jun, Jian Yue, Li Siyu, Yang Yuxin, Zheng Zhenjiang, Chen Yonghua, Wang Xing, Liu Xubao, Gou Shanmiao, Tan Chunlu
Department of Hepatobiliary Surgery, Aerospace Center Hospital, Peking University Aerospace School of Clinical Medicine, Beijing, China.
Division of Pancreatic Surgery, Department of General Surgery, West China Hospital, Sichuan University, Chengdu, China.
Gland Surg. 2025 Mar 31;14(3):281-293. doi: 10.21037/gs-24-412. Epub 2025 Mar 26.
Late extraluminal postpancreatectomy hemorrhage (LEPPH) is a rare but severe complication of pancreaticoduodenectomy (PD). Current predictors of LEPPH are limited and cannot quantify bleeding risk. As a consequence, establishment of a prediction model of LEPPH is important. This study aims to construct a nomogram combining perioperative factors to predict LEPPH.
A total of 2,924 retrospective and 467 prospective cases undergoing PD, 420 retrospective cases and 131 prospective cases with postoperative pancreatic fistula (POPF) after PD from three centers were included. Three hundred and seventy-one retrospective cases from West China Hospital were divided randomly into the development cohort (n=259) and the internal validation cohort (n=112). Another 180 patients consisting of 49 retrospective and 131 prospective cases from three pancreatic centers were enrolled as the external validation set. A nomogram was established based on the independent risk factors.
Multivariable analysis identified pancreaticoenteric anastomotic dorsal fluid accumulation, bubble sign, pancreaticoenteric anastomotic cracking (PEAC), surgery-related acute pancreatitis (AP), and positive culture in intra-abdominal drainage fluid as independent risk factors of LEPPH. Combined with those variables, the nomogram showed reliable C-index of 0.932, 0.924 and 0.954 in predicting LEPPH in the three cohorts respectively.
The nomogram exhibited excellent predictive capabilities for LEPPH after PD. It could aid surgeons in early identification of patients prone to LEPPH following PD, enabling timely interventions and improving patient survival.
胰十二指肠切除术后晚期腔外出血(LEPPH)是一种罕见但严重的胰十二指肠切除术(PD)并发症。目前LEPPH的预测指标有限,无法量化出血风险。因此,建立LEPPH预测模型具有重要意义。本研究旨在构建一个结合围手术期因素的列线图来预测LEPPH。
纳入来自三个中心的2924例回顾性和467例前瞻性PD病例,以及420例回顾性和131例前瞻性PD术后胰瘘(POPF)病例。将来自华西医院的371例回顾性病例随机分为开发队列(n = 259)和内部验证队列(n = 112)。另外180例患者(包括来自三个胰腺中心的49例回顾性病例和131例前瞻性病例)作为外部验证集。基于独立危险因素建立列线图。
多变量分析确定胰肠吻合口背侧积液、气泡征、胰肠吻合口破裂(PEAC)、手术相关急性胰腺炎(AP)和腹腔引流液培养阳性是LEPPH的独立危险因素。结合这些变量,列线图在三个队列中预测LEPPH时的C指数分别为0.932、0.924和0.954,显示出可靠的预测能力。
该列线图对PD术后LEPPH具有出色的预测能力。它可以帮助外科医生早期识别PD术后易发生LEPPH的患者,从而及时进行干预并提高患者生存率。