Development and validation of a prediction model based on a nomogram for tuberculous pleural effusion.

ABSTRACT:

Background

Diagnosing tuberculous pleural effusion (TPE) is challenging. There is a lack of cross-sectional lateral comparisons among TPE prediction models.

Objectives

We aimed to develop and validate a novel TPE prediction model and compare its diagnostic performance with that of existing models.

Methods

Patients with pleural effusion were included in the training, testing, and external validation sets. Variable selection strategies included LASSO and logistic regression. The discriminability, calibration, and clinical efficacy of the prediction model were estimated in the three sets. The performance of the model was compared with that of two existing prediction models.

Results

Fever, tuberculosis interferon-gamma release assays, pleural adenosine deaminase, t

SUBMITTER: Liu S 

PROVIDER: S-EPMC12313491 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature