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Tuberculosis case finding using population-based disease surveillance platforms in urban and rural Kenya

BACKGROUND: Tuberculosis (TB) case finding is an important component of TB control because it can reduce transmission of Mycobacterium tuberculosis (MTB) through prompt detection and treatment of infectious patients. METHODS: Using population-based infectious disease surveillance (PBIDS) platforms w...

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Autores principales: Bigogo, Godfrey, Cain, Kevin, Nyole, Diana, Masyongo, Geoffrey, Auko, Joshua Auko, Wamola, Newton, Okumu, Albert, Agaya, Janet, Montgomery, Joel, Borgdorff, Martien, Burton, Deron
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5992751/
https://www.ncbi.nlm.nih.gov/pubmed/29879917
http://dx.doi.org/10.1186/s12879-018-3172-z
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author Bigogo, Godfrey
Cain, Kevin
Nyole, Diana
Masyongo, Geoffrey
Auko, Joshua Auko
Wamola, Newton
Okumu, Albert
Agaya, Janet
Montgomery, Joel
Borgdorff, Martien
Burton, Deron
author_facet Bigogo, Godfrey
Cain, Kevin
Nyole, Diana
Masyongo, Geoffrey
Auko, Joshua Auko
Wamola, Newton
Okumu, Albert
Agaya, Janet
Montgomery, Joel
Borgdorff, Martien
Burton, Deron
author_sort Bigogo, Godfrey
collection PubMed
description BACKGROUND: Tuberculosis (TB) case finding is an important component of TB control because it can reduce transmission of Mycobacterium tuberculosis (MTB) through prompt detection and treatment of infectious patients. METHODS: Using population-based infectious disease surveillance (PBIDS) platforms with links to health facilities in Kenya we implemented intensified TB case finding in the community and at the health facilities, as an adjunct to routine passive case finding conducted by the national TB program. From 2011 to 2014, PBIDS participants ≥15 years were screened either at home or health facilities for possible TB symptoms which included cough, fever, night sweats or weight loss in the preceding 2 weeks. At home, participants with possible TB symptoms had expectorated sputum collected. At the clinic, HIV-infected participants with possible TB symptoms were invited to produce sputum. Those without HIV but with symptoms lasting 7 days including the visit day had chest radiographs performed, and had sputum collected if the radiographs were abnormal. Sputum samples were tested for the presence of MTB using the Xpert MTB/RIF assay. TB detection rates were calculated per 100,000 persons screened. RESULTS: Of 11,191 participants aged ≥15 years screened at home at both sites, 2695 (23.9%) reported possible TB symptoms, of whom 2258 (83.8%) produced sputum specimens. MTB was detected in 32 (1.4%) of the specimens resulting in a detection rate of 286/100,000 persons screened. At the health facilities, a total of 11,762 person were screened, 7500 (63.8%) had possible TB symptoms of whom 1282 (17.1%) produced sputum samples. MTB was detected in 69 (5.4%) of the samples, resulting in an overall detection rate of 587/100,000 persons screened. The TB detection rate was higher in persons with HIV compared to those without at both home (HIV-infected - 769/100,000, HIV-uninfected 141/100,000, rate ratio (RR) – 5.45, 95% CI 3.25–22.37), and health facilities (HIV-infected 3399/100,000, HIV-uninfected 294/100,000, RR 11.56, 95% CI 6.18–18.44). CONCLUSION: Facility-based intensified TB case finding detected more TB cases per the number of specimens tested and the number of persons screened, including those with HIV, than home-based TB screening and should be further evaluated to determine its potential programmatic impact.
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spelling pubmed-59927512018-06-21 Tuberculosis case finding using population-based disease surveillance platforms in urban and rural Kenya Bigogo, Godfrey Cain, Kevin Nyole, Diana Masyongo, Geoffrey Auko, Joshua Auko Wamola, Newton Okumu, Albert Agaya, Janet Montgomery, Joel Borgdorff, Martien Burton, Deron BMC Infect Dis Research Article BACKGROUND: Tuberculosis (TB) case finding is an important component of TB control because it can reduce transmission of Mycobacterium tuberculosis (MTB) through prompt detection and treatment of infectious patients. METHODS: Using population-based infectious disease surveillance (PBIDS) platforms with links to health facilities in Kenya we implemented intensified TB case finding in the community and at the health facilities, as an adjunct to routine passive case finding conducted by the national TB program. From 2011 to 2014, PBIDS participants ≥15 years were screened either at home or health facilities for possible TB symptoms which included cough, fever, night sweats or weight loss in the preceding 2 weeks. At home, participants with possible TB symptoms had expectorated sputum collected. At the clinic, HIV-infected participants with possible TB symptoms were invited to produce sputum. Those without HIV but with symptoms lasting 7 days including the visit day had chest radiographs performed, and had sputum collected if the radiographs were abnormal. Sputum samples were tested for the presence of MTB using the Xpert MTB/RIF assay. TB detection rates were calculated per 100,000 persons screened. RESULTS: Of 11,191 participants aged ≥15 years screened at home at both sites, 2695 (23.9%) reported possible TB symptoms, of whom 2258 (83.8%) produced sputum specimens. MTB was detected in 32 (1.4%) of the specimens resulting in a detection rate of 286/100,000 persons screened. At the health facilities, a total of 11,762 person were screened, 7500 (63.8%) had possible TB symptoms of whom 1282 (17.1%) produced sputum samples. MTB was detected in 69 (5.4%) of the samples, resulting in an overall detection rate of 587/100,000 persons screened. The TB detection rate was higher in persons with HIV compared to those without at both home (HIV-infected - 769/100,000, HIV-uninfected 141/100,000, rate ratio (RR) – 5.45, 95% CI 3.25–22.37), and health facilities (HIV-infected 3399/100,000, HIV-uninfected 294/100,000, RR 11.56, 95% CI 6.18–18.44). CONCLUSION: Facility-based intensified TB case finding detected more TB cases per the number of specimens tested and the number of persons screened, including those with HIV, than home-based TB screening and should be further evaluated to determine its potential programmatic impact. BioMed Central 2018-06-07 /pmc/articles/PMC5992751/ /pubmed/29879917 http://dx.doi.org/10.1186/s12879-018-3172-z Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Bigogo, Godfrey
Cain, Kevin
Nyole, Diana
Masyongo, Geoffrey
Auko, Joshua Auko
Wamola, Newton
Okumu, Albert
Agaya, Janet
Montgomery, Joel
Borgdorff, Martien
Burton, Deron
Tuberculosis case finding using population-based disease surveillance platforms in urban and rural Kenya
title Tuberculosis case finding using population-based disease surveillance platforms in urban and rural Kenya
title_full Tuberculosis case finding using population-based disease surveillance platforms in urban and rural Kenya
title_fullStr Tuberculosis case finding using population-based disease surveillance platforms in urban and rural Kenya
title_full_unstemmed Tuberculosis case finding using population-based disease surveillance platforms in urban and rural Kenya
title_short Tuberculosis case finding using population-based disease surveillance platforms in urban and rural Kenya
title_sort tuberculosis case finding using population-based disease surveillance platforms in urban and rural kenya
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5992751/
https://www.ncbi.nlm.nih.gov/pubmed/29879917
http://dx.doi.org/10.1186/s12879-018-3172-z
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