Unknown

Dataset Information

Development and validation of a prediction model to assess the probability of tuberculous pleural effusion in patients with unexplained pleural effusion.


ABSTRACT: Differentiating tuberculous pleural effusion (TPE) from non-tuberculosis pleural effusion remains a challenge in clinical practice. This study aimed to develop and externally validate a novel prediction model using the peripheral blood tuberculous infection of T cells spot test (T-SPOT.TB) to assess the probability of TPE in patients with unexplained pleural effusion. Patients with pleural effusion and confirmed etiology were included in this study. A retrospective derivation population was used to develop and internally validate the predictive model. Clinical, radiological, and laboratory features were collected, and important predictors were selected using the least absolute shrinkage and selection operator. The prediction model, presented as a web calculator, was developed using multiva

SUBMITTER: Lei X 

PROVIDER: S-EPMC10322972 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature