СҮРЬЕЭГИЙН ДАЛД ХАЛДВАРЫН ТАРХАЛТЫГ ТОДОРХОЙЛЖ, ТҮҮНД НӨЛӨӨЛӨХ ЗАРИМ ХҮЧИН ЗҮЙЛИЙН ЭРСДЛИЙГ ҮНЭЛСЭН НЬ
- VernacularTitle:СҮРЬЕЭГИЙН ДАЛД ХАЛДВАРЫН ТАРХАЛТЫГ ТОДОРХОЙЛЖ, ТҮҮНД НӨЛӨӨЛӨХ ЗАРИМ ХҮЧИН ЗҮЙЛИЙН ЭРСДЛИЙГ ҮНЭЛСЭН НЬ
- Author:
Gantsetseg G
1
;
Dariimaa G
1
;
Ganmaa D
2
;
Munkhzol M
1
Author Information
1. Mongolian National University of Medical Science
2. Harvard University
- Publication Type:Journal Article
- Keywords:
Latent Tuberculosis Infection, QuantiFERON-TB Gold intube, socio-economic factors
- From:Innovation
2017;11(2):41-45
- CountryMongolia
- Language:Mongolian
-
Abstract:
BACKGROUND. 2.3 billion Individuals have latent TB infection(LTBI), up to 10 million new cases of TB arise and killing nearly 2 million individuals around this globe, annually [1,2]. In Mongolia, tuberculinskin test is used to detection of mycobacterial infection, which has many disadvantages. Interferon gamma release assay (IGRA, QFT-G), a method advised by WHO, is the most reliable detection of latent infection. If we can detect LTBI in childhood, it is possible to prevent from active TB decreasing prevalence in the future. That is why it is important to screen the LTBI among children. GOAL: To estimate the prevalence of LTBI among 6-13 age children and to define the LTBI risk factors. Methods: We enrolled 9126 children for our study, indicating a possible estimation for LTBI prevalence among 6-13 age children in Ulaanbaatar city. Under ethical permission, our study was performed, as well as the consent of parents and children. We determined the LTBI by using QFT-G.
We took a questionnaire about a socio-economic status, a history of TB contact and also conducted anthropometric measurements in all participants. The study design was a descriptive, cross-sectional and a case-control which based on QFT-G results. SPSS version 20.0.0 was used for statistical analyses. RESULTS: Regardingthe QFT-G test, 8214(90%) number of children were negative, 908 (10%) were positive, 4 (<0.1%) samples were indeterminable. There were statistically significant differences between control and case group in some questionnaire of socio-economic status. No significant difference was seen between two groups in all anthropometric measurements. In multinomial logistic regression, a tuberculosis contact, a household type, and passive smoking were identified as independent LTBI risk factors (p<0.01). CONCLUSIONS: The LTBI prevalence is high (10%) in school-age children living in Ulaanbaatar. It has increased at 6-13 age (p<0.05). Several important risk factors for LTBI in school age children elicited. Most powerful risk factors were tuberculosis contact (p<0.001), type of residence (p<0.05) and passive smoking (p<0.001).
