The Clinical Usefulness of Tuberculin Skin Test versus Interferon-Gamma Release Assays for Diagnosis of Latent Tuberculosis in HIV Patients: A Meta-Analysis.
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).


OBJECTIVE
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/Ovid were 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 and prevalence-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.


CONCLUSIONS
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.
Department of Epidemiology, School of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran.|Department of Epidemiology, Pasteur Institute of Iran, Tehran, Iran.|Department of Epidemiology, School of Public Health, Tehran University of Medical sciences, Tehran, Iran.
Erfan
E
Ayubi
Department of Epidemiology, Pasteur Institute of Iran, Tehran, Iran.|Department of Epidemiology, School of Public Health, Tehran University of Medical sciences, Tehran, Iran.
Amin
A
Doosti-Irani
School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Ali
A
Sanjari Moghaddam
School of Medicine, Zabol University of Medical Sciences, Zabol, Iran.
Mohadeseh
M
Sani
The collaboration center of meta-analysis research (ccMETA), Iranian Research Center on Healthy Aging, Sabzevar University of Medical Sciences, Sabzevar, Iran.
Milad
M
Nazarzadeh
Department of Epidemiology, Pasteur Institute of Iran, Tehran, Iran.|Research Center for Emerging and Reemerging infectious diseases (Akanlu), Hamadan, Iran.
Ehsan
E
Mostafavi
D060085:Coinfection / Q000175:diagnosis* / Q000382:microbiology / Q000821:virology; D015658:HIV Infections / Q000150:complications* / Q000382:microbiology; D006801:Humans; D059425:Interferon-gamma Release Tests; D055985:Latent Tuberculosis / Q000150:complications / Q000175:diagnosis*; D014374:Tuberculin Test