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Meta-Analysis
. 2012;7(3):e32482.
doi: 10.1371/journal.pone.0032482. Epub 2012 Mar 5.

Interferon-γ release assays for the diagnosis of tuberculosis and tuberculosis infection in HIV-infected adults: a systematic review and meta-analysis

Affiliations
Meta-Analysis

Interferon-γ release assays for the diagnosis of tuberculosis and tuberculosis infection in HIV-infected adults: a systematic review and meta-analysis

Miguel Santin et al. PLoS One. 2012.

Abstract

Background: Despite the widespread use of interferon-γ release assays (IGRAs), their role in diagnosing tuberculosis and targeting preventive therapy in HIV-infected patients remains unclear. We conducted a comprehensive systematic review to contribute to the evidence-based practice in HIV-infected people.

Methodology/principal findings: We searched MEDLINE, Cochrane, and Biomedicine databases to identify articles published between January 2005 and July 2011 that assessed QuantiFERON®-TB Gold In-Tube (QFT-GIT) and T-SPOT®.TB (T-SPOT.TB) in HIV-infected adults. We assessed their accuracy for the diagnosis of tuberculosis and incident active tuberculosis, and the proportion of indeterminate results. The search identified 38 evaluable studies covering a total of 6514 HIV-infected participants. The pooled sensitivity and specificity for tuberculosis were 61% and 72% for QFT-GIT, and 65% and 70% for T-SPOT.TB. The cumulative incidence of subsequent active tuberculosis was 8.3% for QFT-GIT and 10% for T-SPOT.TB in patients tested positive (one study each), and 0% for QFT-GIT (two studies) and T-SPOT.TB (one study) respectively in those tested negative. Pooled indeterminate rates were 8.2% for QFT-GIT and 5.9% for T-SPOT.TB. Rates were higher in high burden settings (12.0% for QFT-GIT and 7.7% for T-SPOT.TB) than in low-intermediate burden settings (3.9% for QFT-GIT and 4.3% for T-SPOT.TB). They were also higher in patients with CD4(+) T-cell count <200 (11.6% for QFT-GIT and 11.4% for T-SPOT.TB) than in those with CD4(+) T-cell count ≥ 200 (3.1% for QFT-GIT and 7.9% for T-SPOT.TB).

Conclusions/significance: IGRAs have suboptimal accuracy for confirming or ruling out active tuberculosis disease in HIV-infected adults. While their predictive value for incident active tuberculosis is modest, a negative QFT-GIT implies a very low short- to medium-term risk. Identifying the factors associated with indeterminate results will help to optimize the use of IGRAs in clinical practice, particularly in resource-limited countries with a high prevalence of HIV-coinfection.

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Conflict of interest statement

Competing Interests: M. Santin received a fee for speaking at two conferences sponsored by Inverness Medical Iberica, S.A.U. (former distributer of QuantiFERON-TB Gold In-Tube in Spain). This does not alter the authors' adherence to all the PLoS ONE policies on sharing data and materials, as detailed online in the guide for authors.

Figures

Figure 1
Figure 1. Flowchart for study selection.
Figure 2
Figure 2
Sensitivity of QuantiFERON-TB Gold In-Tube (A) and T.SPOT.TB (B), in HIV-infected patients with confirmed tuberculosis, stratified for tuberculosis burden setting. Pooled estimates derived from random effects (DerSimonian-Laird) modeling.
Figure 3
Figure 3
Specificity of QuantiFERON-TB Gold In-Tube (A) and T.SPOT.TB (B), in HIV-infected patients with confirmed tuberculosis, stratified for tuberculosis burden setting. Pooled estimates derived from random effects (DerSimonian-Laird) modeling.
Figure 4
Figure 4
Proportion of indeterminate results of QuantiFERON-TB Gold In-Tube (A) and T-SPOT.TB (B) in HIV-infected patients, stratified for tuberculosis burden setting. Pooled estimates derived from random effects (DerSimonian-Laird) modeling.
Figure 5
Figure 5. Comparison of the proportion of indeterminate results between HIV-infected and HIV-uninfected individuals.
Pooled estimates derived from random effects (DerSimonian-Laird) modeling.
Figure 6
Figure 6. Differences in the proportion of indeterminate results of IGRAs by 200 CD4+ cell count threshold.
Pooled estimates derived from random effects (DerSimonian-Laird) modeling.

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