The Clinical Usefulness of Tuberculin Skin Test Versus Interferon-Gamma Release Assays for Diagnosis of Latent Tuberculosis in Hiv Patients: A Meta-Analysis Publisher Pubmed



Ayubi E^{1, 2, 3} ; Doostiirani A^{2, 3} ; Moghaddam AS⁴ ; Sani M⁵ ; Nazarzadeh M⁶ ; Mostafavi E^{2, 7} Show Affiliations
Source: PLoS ONE Published:2016

Abstract

Background Accurate diagnosis of latent tuberculosis infection (LTBI) is becoming increasingly concerning due to the increasing the HIV epidemic, which have increased the risk for reactivation to active tuberculosis (TB) infection. LTBI is diagnosed by tuberculin skin test (TST) and interferon- gamma release assays (IGRAs). Objectives The aim of the present study was to conduct a meta-Analysis of published papers on the agreement (kappa) between TST and QuantiFERON-TB Gold In-Tube (QFT-GIT) tests for diagnosis of LTBI in HIV patient. Methods Electronic databases including PubMed/Medline, Elsevier/Scopus and Embase/Ovidwere reviewed up Jan. 2016.We performed a random effect model meta-Analysis for estimation of pooled Kappa between the two methods of diagnosis. Meta regression was used for assessing potential heterogeneity and Egger's test was used for assessing small study effect and publication bias. Results The initial search strategy produced 6744 records. Of them, 23 cross-sectional studies met the inclusion criteria and 20 studies entered in meta-Analysis. The pooled kappa was andprevalence-Adjusted and bias-Adjusted kappa (PABAK) were 0.37 (95% CI: 0.28, 0.46) and 0.59 (0.49, 0.69). The discordance of TST-/QFT-GIT+ was more than TST+/QFT-GIT-. Kappa estimate between two tests was linearly associated with age and prevalence index and inversely associated with bias index. Conclusion Fair agreement between TST and QFT-GIT makes it difficult to know whether TST is as useful as the QFT-GIT in HIV-infected patients. The higher discordance of TST-/QFT-GIT+ in compared to TST+/QFT-GIT- can induce the higher sensitivity of QFT-GIT for diagnosis LTBI in HIV patients. Disagreement between two tests can be influenced by error in measurements and prevalence of HIV. © 2016 Ayubi et al.This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.