Tianjin Medical Journal ›› 2026, Vol. 54 ›› Issue (1): 35-40.doi: 10.11958/20251377

• Clinical Research • Previous Articles     Next Articles

Risk factors and prediction model construction for acute biliary pancreatitis complicated with common bile duct stones

CHU Xing(), LIU Lei, YANG Hua, CHEN Hong()   

  1. Department of Hepatobiliary Surgery, Hanzhong Central Hospital, Hanzhong 723000, China
  • Received:2025-04-02 Revised:2025-06-27 Published:2026-01-15 Online:2026-01-19
  • Contact: E-mail:chenhonggandan@163.com

Abstract:

Objective To analyze the risk factors and construct prediction model for acute biliary pancreatitis (ABP) complicated by common bile duct stones (CBDS). Methods A total of 105 patients with CBDS complicated by ABP were included as the ABP group, and another 105 CBDS patients without ABP were included as the non-ABP group. Clinical data of all patients were collected. Multivariate unconditional Logistic regression was used to identify the risk factors for CBDS complicated by ABP, and a nomogram predictive model was developed accordingly. The H-L test was used to evaluate the fit degree of the model. The predictive value was assessed by the receiver operating characteristic (ROC) curve. C-index analysis was used to predict the discriminatory ability of the model. Calibration curve was used to analyze and predict the accuracy of the model. The decision curve was used to analyze clinical benefits of the model. Results Logistic regression analysis showed that older age, diabetes, larger stone diameter, larger common bile duct diameter, higher neutrophil-to-lymphocyte ratio (NLR), elevated serum amylase (AMS) and higher C-reactive protein (CRP) levels were independent risk factors for CBDS complicated by ABP (P<0.05). A nomogram predictive model was constructed based on these factors, and the H-L test showed good model fit (P > 0.05). The ROC curve indicated an area under the curve (AUC) of 0.884, and the C-index was 0.884. The calibration curve demonstrated that the predicted probabilities were close to the ideal line, and the decision curve showed a wide range of net benefit. Conclusion The nomogram predictive model based on the identified risk factors for CBDS complicated by ABP shows good predictive performance. Keywords: common bile duct stones; pancreatitis; risk factors; nomogram; acute biliary pancreatitis

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