Latent tuberculosis infection in transplant candidates: a systematic review and meta-analysis on TST and IGRA.


Journal

Infection
ISSN: 1439-0973
Titre abrégé: Infection
Pays: Germany
ID NLM: 0365307

Informations de publication

Date de publication:
Jun 2019
Historique:
received: 24 07 2018
accepted: 15 02 2019
pubmed: 26 2 2019
medline: 31 8 2019
entrez: 27 2 2019
Statut: ppublish

Résumé

The diagnostic accuracy of interferon-gamma release assays (IGRAs) and the tuberculin skin test (TST) for latent tuberculosis infection (LTBI) in transplant candidates is uncertain. Pubmed, Embase and Cochrane library were searched to identify relevant studies. Quality of included studies was assessed with RevMan5 software (via GUADAS2 checklist). Accuracy measures of IGRAs and TST assays (sensitivity, specificity and others) were pooled with random effects model. Data were analyzed by STATA and Meta-DiSc. Twenty-eight studies were selected for full review, and 16 were included in the final analysis. The pooled sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (PLR), negative likelihood ratio (NLR) and diagnostic odds ratio (DOR) for TST were 46% [95% confidence interval (CI) 38-54%], 86% (95% CI 75-93%), 46.3% (95% CI 40-52), 88.7% (95% CI 87-89), 3.3 (95% CI 1.6-6.4), 0.63 (95% CI 0.52-0.77) and 5 (95% CI 2-12), respectively. For QFT-G, the pooled sensitivity, specificity, PPV, NPV, PLR, NLR, and DOR were 58% (95% CI 41-73%), 89% (95% CI 77-95%), 72.7% (95% CI 68-76), 80.6% (95% CI 78-82), 5.3 (95% CI 2.0-14.0), 0.47 (95% CI 0.30-0.75) and 11 (95% CI 3-46), respectively. Likewise, for T-SPOT.TB, the pooled sensitivity, specificity, PPV, NPV, PLR, NLR, and DOR were 55% (95% CI 40-70%), 92% (95% CI 87-95%), 60.4% (95% CI 47-72), 90.2% (95% CI 86-92), 6.7 (95% CI 4.0-11.1), 0.52 (95% CI 0.31-0.85) and 16 (95% CI 7-37), respectively. IGRAs were more sensitive and specific than the TST with regard to the diagnosis of LTBI in the transplant candidates. They have added value and can be complementary to TST.

Identifiants

pubmed: 30805899
doi: 10.1007/s15010-019-01285-7
pii: 10.1007/s15010-019-01285-7
doi:

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

353-361

Subventions

Organisme : World Health Organization
ID : ITA-80
Pays : International
Organisme : World Health Organization
ID : 2017-2020-GBM/RC/LDA.
Pays : International

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Auteurs

Mohammad Javad Nasiri (MJ)

Department of Microbiology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran. mj.nasiri@hotmail.com.

Ali Pormohammad (A)

Department of Microbiology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Hossein Goudarzi (H)

Department of Microbiology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Masoud Mardani (M)

Infectious Diseases and Tropical Medicine Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Samin Zamani (S)

Infectious Diseases Research Center, Golestan University of Medical Sciences, Gorgan, Iran.

Giovanni Battista Migliori (GB)

Istituti Clinici Scientifici Maugeri IRCCS, Tradate, Italy.

Giovanni Sotgiu (G)

Clinical Epidemiology and Medical Statistics Unit, Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy.

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Classifications MeSH