What does IGRA testing add to the diagnosis of ocular tuberculosis? A Bayesian latent class analysis.

ABSTRACT:

Background

To evaluate the contribution made to the diagnostic work-up for patients with suspected ocular tuberculosis (TB) by QuantiFERON-TB Gold In-Tube (QFT) tests using latent class analysis model.

Methods

A single centre retrospective cohort study. A Bayesian latent class model was constructed on the basis of demographics, phenotypes and test results from patients attending a tertiary referral center in the UK. This estimated the probability of ocular TB for each patient in two versions, first with and then without QFT. The estimated probability of ocular TB was compared with treatment failure.

Results

From a database of 365 patients with clinical signs suggestive of ocular TB, 267 patients who had QFT and complete data were evaluated. Mean age was 45.0 ± 15.4 ye

SUBMITTER: Agrawal R 

PROVIDER: S-EPMC5721607 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature