Development and validation of a prediction model for tuberculous peritoneal effusion
By
Libin Liu
Tingting Fang
Qianqian Peng
Hui Wei
Long Cai
June 19, 2026
Objective: To develop and validate a nomogram for diagnosing tuberculous peritoneal effusion (TPE).
Approach: Key Findings: A total of 351 patients were included, with 245 in the training group and 106 in the validation group. Seven independent predictors identified: age, fever, ascites adenosine deaminase (ADA), ascites carcinoembryonic antigen (CEA), ascites total protein (TP), serum CEA, and serum creatinine (Cr). The nomogram model achieved an AUC of 0.974 for the training group and 0.955 for the validation group. Calibration curves showed good agreement, and decision curve analysis (DCA) indicated the model provides the greatest net benefit. Interpretation:
Limitations: Single-center study may limit generalizability. Retrospective design may introduce selection bias. Conclusion: