Molecular Epidemiology of Tuberculosis Infection in Omsk Region

Relevance. In the Omsk region in 2005 - 2014 tended to decrease morbidity of tuberculosis infection. However, the dynamics of tuberculosis with multidrug resistance was characterized by a moderate upward trend from 29.6 to 38.3 per 100 thousand population (P < 0.05). Goal. Characteristics of the...

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Main Authors: O. A. Pasechnik, M. A. Dymova, M. L. Filipenko, V. L. Stasenko, M. P. Tatarintseva, A. A. Pavlik
Format: Article
Language:Russian
Published: Numikom LLC 2016-08-01
Series:Эпидемиология и вакцинопрофилактика
Subjects:
Online Access:https://www.epidemvac.ru/jour/article/view/177
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author O. A. Pasechnik
M. A. Dymova
M. L. Filipenko
V. L. Stasenko
M. P. Tatarintseva
A. A. Pavlik
author_facet O. A. Pasechnik
M. A. Dymova
M. L. Filipenko
V. L. Stasenko
M. P. Tatarintseva
A. A. Pavlik
author_sort O. A. Pasechnik
collection DOAJ
description Relevance. In the Omsk region in 2005 - 2014 tended to decrease morbidity of tuberculosis infection. However, the dynamics of tuberculosis with multidrug resistance was characterized by a moderate upward trend from 29.6 to 38.3 per 100 thousand population (P < 0.05). Goal. Characteristics of the epidemic process of tuberculosis in the Omsk region for 10 years, molecular genetic features of leading genotypes of M. tuberculosis, circulating in the area to evaluate and select the most effective measures to prevent the spread of multidrug-resistant tuberculosis. Materials and methods. Studied with MIRU-VNTR-typing M. tuberculosis isolates from patients with active pulmonary tuberculosis (n = 100). All patients were inhabitants of Omsk region and treated in health organizations of TB in 2013 - 2014. Results. 36 genetic types have been identified in the result of typing. The composition of the 10 clusters of various sizes included 74 isolates. For genetic family Beijing treated 77.0% of isolates clustered (OR = 25.7, CI 6.87 * 96.17). Among the unique isolates of M. tuberculosis was dominated by unidentified genotypes, non-family Beijing (OR = 0.11, 95% CI 0,04 * 0,30), as well as rare genotypes Uganda I, Haarlem, S. Frequency clustering in this study was 64%, indicating that a significant proportion of cases of tuberculosis associated with active Mycobacterium tuberculosis transmission. Conclusions. The data obtained are of interest for the evaluation and selection of the most effective measures to prevent the spread of strains of multi-drug resistance in the Omsk region.
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spelling doaj.art-9f4a7a1bc5a442f79e8458add23341712023-03-13T07:43:13ZrusNumikom LLCЭпидемиология и вакцинопрофилактика2073-30462619-04942016-08-01154293610.31631/2073-3046-2016-15-4-29-36176Molecular Epidemiology of Tuberculosis Infection in Omsk RegionO. A. Pasechnik0M. A. Dymova1M. L. Filipenko2V. L. Stasenko3M. P. Tatarintseva4A. A. Pavlik5ГБОУ ВПО «Омский государственный медицинский университет» Минздрава РоссииФГБУН «Институт химической биологии и фундаментальной медицины» СО РАНФГБУН «Институт химической биологии и фундаментальной медицины» СО РАНГБОУ ВПО «Омский государственный медицинский университет» Минздрава РоссииКУЗОО «Клинический противотуберкулезный диспансер»ГБОУ ВПО «Омский государственный медицинский университет» Минздрава РоссииRelevance. In the Omsk region in 2005 - 2014 tended to decrease morbidity of tuberculosis infection. However, the dynamics of tuberculosis with multidrug resistance was characterized by a moderate upward trend from 29.6 to 38.3 per 100 thousand population (P < 0.05). Goal. Characteristics of the epidemic process of tuberculosis in the Omsk region for 10 years, molecular genetic features of leading genotypes of M. tuberculosis, circulating in the area to evaluate and select the most effective measures to prevent the spread of multidrug-resistant tuberculosis. Materials and methods. Studied with MIRU-VNTR-typing M. tuberculosis isolates from patients with active pulmonary tuberculosis (n = 100). All patients were inhabitants of Omsk region and treated in health organizations of TB in 2013 - 2014. Results. 36 genetic types have been identified in the result of typing. The composition of the 10 clusters of various sizes included 74 isolates. For genetic family Beijing treated 77.0% of isolates clustered (OR = 25.7, CI 6.87 * 96.17). Among the unique isolates of M. tuberculosis was dominated by unidentified genotypes, non-family Beijing (OR = 0.11, 95% CI 0,04 * 0,30), as well as rare genotypes Uganda I, Haarlem, S. Frequency clustering in this study was 64%, indicating that a significant proportion of cases of tuberculosis associated with active Mycobacterium tuberculosis transmission. Conclusions. The data obtained are of interest for the evaluation and selection of the most effective measures to prevent the spread of strains of multi-drug resistance in the Omsk region.https://www.epidemvac.ru/jour/article/view/177эпидемиологияраспространенностьmiru-vntr-типированиекластерыгенотипыгенотип beijingepidemiologyprevalencemiru-vntr-typingclustersgenotypesgenotype beijing
spellingShingle O. A. Pasechnik
M. A. Dymova
M. L. Filipenko
V. L. Stasenko
M. P. Tatarintseva
A. A. Pavlik
Molecular Epidemiology of Tuberculosis Infection in Omsk Region
Эпидемиология и вакцинопрофилактика
эпидемиология
распространенность
miru-vntr-типирование
кластеры
генотипы
генотип beijing
epidemiology
prevalence
miru-vntr-typing
clusters
genotypes
genotype beijing
title Molecular Epidemiology of Tuberculosis Infection in Omsk Region
title_full Molecular Epidemiology of Tuberculosis Infection in Omsk Region
title_fullStr Molecular Epidemiology of Tuberculosis Infection in Omsk Region
title_full_unstemmed Molecular Epidemiology of Tuberculosis Infection in Omsk Region
title_short Molecular Epidemiology of Tuberculosis Infection in Omsk Region
title_sort molecular epidemiology of tuberculosis infection in omsk region
topic эпидемиология
распространенность
miru-vntr-типирование
кластеры
генотипы
генотип beijing
epidemiology
prevalence
miru-vntr-typing
clusters
genotypes
genotype beijing
url https://www.epidemvac.ru/jour/article/view/177
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AT mlfilipenko molecularepidemiologyoftuberculosisinfectioninomskregion
AT vlstasenko molecularepidemiologyoftuberculosisinfectioninomskregion
AT mptatarintseva molecularepidemiologyoftuberculosisinfectioninomskregion
AT aapavlik molecularepidemiologyoftuberculosisinfectioninomskregion