Interferon Gamma-Based Detection of Latent Tuberculosis Infection in the Border States of Nuevo Leon and Tamaulipas, Mexico

Eyal Oren, Gabriela Alatorre-Izaguirre, Francisco Gonzalez-Salazar, Javier Vargas-Villarreal, Maria Guadalupe Moreno-Treviño, Javier Garcialuna-Martinez

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Nearly one-third of the world's population is infected with latent tuberculosis (LTBI). Tuberculosis (TB) rates in the border states are higher than national rates in both the US and Mexico, with the border accounting for 30% of total registered TB cases in both countries. However, LTBI rates in the general population in Mexican border states are unknown. In this region, LTBI is diagnosed using the tuberculin skin test (TST). New methods of detection more specific than TST have been developed, although there is currently no gold standard for LTBI detection. Our objective is to demonstrate utility of the Quantiferon TB gold In-Tube (QFT-GIT) test compared with the TST to detect LTBI among border populations. This is an observational, cross-sectional study carried out in border areas of the states of Nuevo Leon and Tamaulipas, Mexico. Participants (n = 210) provided a TST and blood sample for the QFT-GIT. Kappa coefficients assessed the agreement between TST and QFT-GIT. Participant characteristics were compared using Fisher exact tests. Thirty-eight percent of participants were diagnosed with LTBI by QFTGIT. The proportion of LTBI detected using QFT-GIT was almost double [38% (79/210)] that found by TST [19% (39/210)] (P < 0.001). Concordance between TST and QFT-GIT was low (kappa = 0.37). We recommend further studies utilizing the QFT-GIT test to detect LTBI among border populations.

Original languageEnglish
Article number220
JournalFrontiers in Public Health
Volume3
Issue numberSEP
DOIs
Publication statusPublished - 30 Sep 2015

Fingerprint

Latent Tuberculosis
Tuberculin Test
Mexico
Interferon-gamma
Skin Tests
Gold
Tuberculosis
Population
Cross-Sectional Studies

All Science Journal Classification (ASJC) codes

  • Public Health, Environmental and Occupational Health

Cite this

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title = "Interferon Gamma-Based Detection of Latent Tuberculosis Infection in the Border States of Nuevo Leon and Tamaulipas, Mexico",
abstract = "Nearly one-third of the world's population is infected with latent tuberculosis (LTBI). Tuberculosis (TB) rates in the border states are higher than national rates in both the US and Mexico, with the border accounting for 30{\%} of total registered TB cases in both countries. However, LTBI rates in the general population in Mexican border states are unknown. In this region, LTBI is diagnosed using the tuberculin skin test (TST). New methods of detection more specific than TST have been developed, although there is currently no gold standard for LTBI detection. Our objective is to demonstrate utility of the Quantiferon TB gold In-Tube (QFT-GIT) test compared with the TST to detect LTBI among border populations. This is an observational, cross-sectional study carried out in border areas of the states of Nuevo Leon and Tamaulipas, Mexico. Participants (n = 210) provided a TST and blood sample for the QFT-GIT. Kappa coefficients assessed the agreement between TST and QFT-GIT. Participant characteristics were compared using Fisher exact tests. Thirty-eight percent of participants were diagnosed with LTBI by QFTGIT. The proportion of LTBI detected using QFT-GIT was almost double [38{\%} (79/210)] that found by TST [19{\%} (39/210)] (P < 0.001). Concordance between TST and QFT-GIT was low (kappa = 0.37). We recommend further studies utilizing the QFT-GIT test to detect LTBI among border populations.",
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Interferon Gamma-Based Detection of Latent Tuberculosis Infection in the Border States of Nuevo Leon and Tamaulipas, Mexico. / Oren, Eyal; Alatorre-Izaguirre, Gabriela; Gonzalez-Salazar, Francisco; Vargas-Villarreal, Javier; Moreno-Treviño, Maria Guadalupe; Garcialuna-Martinez, Javier.

In: Frontiers in Public Health, Vol. 3, No. SEP, 220, 30.09.2015.

Research output: Contribution to journalArticle

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AU - Oren, Eyal

AU - Alatorre-Izaguirre, Gabriela

AU - Gonzalez-Salazar, Francisco

AU - Vargas-Villarreal, Javier

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