Analysis of risk factors and construction of predictive model for post-endoscopic retrograde cholangiopancreatography pancreatitis
Abstract
Objective: To explore the risk factors of post-endoscopic retrograde cholangiopancreatography (ERCP) pancreatitis (PEP) and to establish a predictive model.
Methods: This was a retrospective observational study. Patients diagnosed with calculous cholangitis and treated with ERCP (n=998) in The First People’s Hospital of Linping District from January 2014 to September 2022 were included. Risk factors of PEP were identified using univariate and multivariate logistic regression, and a nomograph prediction model was established based on the identified independent risk factors.
Results: PEP occurred in 52 patients (5.2%). Logistic regression analysis showed that common bile duct diameter, history of PEP, operation time, intubation frequency, pancreatic ducts visualization, and Sphincter of Oddi dysfunction (SOD) were independent risk factors for inducing PEP (P<0.05). The calibration curve showed that the predicted probability of occurrence of the nomograph model was consistent with the actual probability of occurrence. The C-index value calculated by the Bootstrap method was 0.966, suggesting the nomograph prediction model has a good discrimination ability. The AUC of the nomograph prediction model ROC curve was 0.966 (95% CI: 0.857-0.941), suggesting good prediction efficiency, and the decision analysis curve shows a high value.
Conclusions: Independent risk factors for PEP are large diameter of common bile duct, history of pancreatitis, long operation time, high intubation frequency, pancreatic ducts visualization, and SOD. The nomogram prediction model based on the above independent risk factors has good prediction ability.
doi: https://doi.org/10.12669/pjms.39.6.7972
How to cite this: Zhu P. Analysis of risk factors and construction of predictive model for post-endoscopic retrograde cholangiopancreatography pancreatitis. Pak J Med Sci. 2023;39(6):1642-1646. doi: https://doi.org/10.12669/pjms.39.6.7972
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
