Development and external validation of a nomogram for prediction of post-endoscopic retrograde cholangiopancreatography pancreatitis

列线图 医学 内镜逆行胰胆管造影术 队列 胰腺炎 一致性 球囊扩张 回顾性队列研究 试验预测值 放射科 外科 内科学 气球
作者
Rintaro Fukuda,Ryunosuke Hakuta,Yousuke Nakai,Tsuyoshi Hamada,Shinya Takaoka,Yurie Tokito,Yukari Suzuki,Hiroki Oyama,Sachiko Kanai,Kensaku Noguchi,Tatsunori Suzuki,Kazunaga Ishigaki,Kei Saito,Tomotaka Saito,Naminatsu Takahara,Suguru Mizuno,Yukiko Ito,Hirofumi Kogure,Mitsuhiro Fujishiro
出处
期刊:Pancreatology [Elsevier BV]
卷期号:23 (7): 789-796 被引量:3
标识
DOI:10.1016/j.pan.2023.08.008
摘要

Endoscopic retrograde cholangiopancreatography (ERCP) is widely performed for management of pancreatobiliary diseases; however, post-ERCP pancreatitis (PEP) remains as an unsolved problem. Although various risk factors for PEP have been reported, the prediction of PEP remains controversial. This study aimed to develop a predictive model for PEP.Consecutive patients undergoing ERCP for biliary indications at two centers were retrospectively studied. Using data from a training cohort, we utilized a multivariable model to select five variables to construct a nomogram. The predictive model was internally and externally validated. Based on the nomogram, the patients were categorized into low-, moderate-, and high-risk groups.Using the data of 2224 patients in the training cohort, five variables were selected to generate a nomogram: 1) sex, 2) indication for ERCP, 3) difficult cannulation, 4) guidewire insertion into the pancreatic duct, and 5) endoscopic sphincterotomy or sphincteroplasty. The most significant risk factor was endoscopic papillary balloon dilation such as endoscopic sphincterotomy or sphincteroplasty. The bias-corrected concordance index was 0.72 in the training cohort and 0.72 in the validation cohort. Calibration curves for both cohorts demonstrated good agreement between the predicted and observed frequencies of the actual outcome. In the validation cohort, PEP developed in 5.0% and 14% of patients in the moderate- and high-risk groups, respectively.We successfully developed a good predictive model for PEP. The prevention of PEP in high risk patients should be investigated further.
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