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Development and validation of a prediction model for tuberculous peritoneal effusion
Libin Liu1, Tingting Fang1, Qianqian Peng1
1Centre of Laboratory Medicine, Hangzhou Red Cross Hospital, Hangzhou, Zhejiang, China.
Frontiers in Medicine
|July 6, 2026
Summary
This study developed a diagnostic nomogram for tuberculous peritoneal effusion (TPE) using seven clinical factors. The nomogram accurately distinguishes TPE from other effusions, aiding clinical diagnosis.
Area of Science:
- Medical Diagnostics
- Clinical Epidemiology
- Infectious Diseases
Background:
- Tuberculous peritoneal effusion (TPE) diagnosis can be challenging.
- Accurate diagnostic tools are crucial for timely treatment.
Purpose of the Study:
- To develop and validate a nomogram for diagnosing TPE.
- To improve the accuracy of TPE diagnosis compared to individual indicators.
Main Methods:
- Retrospective, single-center study of 351 patients with TPE and non-TPE.
- Data split into training (70%) and validation (30%) sets.
- LASSO regression and stepwise logistic regression used to build the nomogram.
Main Results:
- Seven independent predictors identified: age, fever, ascites ADA, ascites CEA, ascites TP, serum CEA, and serum Cr.
- Nomogram achieved high diagnostic performance (AUC 0.974 training, 0.955 validation).
- Calibration curves showed good agreement; Decision Curve Analysis confirmed clinical utility.
Conclusions:
- A validated nomogram for TPE diagnosis was successfully developed.
- The nomogram offers superior diagnostic performance over single indicators.
- This tool can assist clinicians in formulating diagnostic strategies for TPE.
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