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Kenya tuberculosis prevalence survey 2016: Challenges and opportunities of ending TB in Kenya

BACKGROUND: We aimed to determine the prevalence of pulmonary TB amongst the adult population (≥15 years) in 2016 in Kenya. METHOD: A nationwide cross-sectional survey where participants first underwent TB symptom screening and chest x-ray. Subsequently, participants who reported cough >2weeks an...

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Autores principales: Enos, Masini, Sitienei, Joseph, Ong’ang’o, Jane, Mungai, Brenda, Kamene, Maureen, Wambugu, Jesse, Kipruto, Hillary, Manduku, Veronica, Mburu, Josephine, Nyaboke, Drusilla, Ngari, Faith, Omesa, Eunice, Omale, Newton, Mwirigi, Nkirote, Okallo, Geoffrey, Njoroge, Janice, Githiomi, Martin, Mwangi, Mike, Kirathe, Dickson, Kiplimo, Richard, Ndombi, Amos, Odeny, Lazarus, Mailu, Eunice, Kandie, Timothy, Maina, Maurice, Kasera, Kadondi, Mulama, Beatrice, Mugi, Beatrice, Weyenga, Herman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6306266/
https://www.ncbi.nlm.nih.gov/pubmed/30586448
http://dx.doi.org/10.1371/journal.pone.0209098
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author Enos, Masini
Sitienei, Joseph
Ong’ang’o, Jane
Mungai, Brenda
Kamene, Maureen
Wambugu, Jesse
Kipruto, Hillary
Manduku, Veronica
Mburu, Josephine
Nyaboke, Drusilla
Ngari, Faith
Omesa, Eunice
Omale, Newton
Mwirigi, Nkirote
Okallo, Geoffrey
Njoroge, Janice
Githiomi, Martin
Mwangi, Mike
Kirathe, Dickson
Kiplimo, Richard
Ndombi, Amos
Odeny, Lazarus
Mailu, Eunice
Kandie, Timothy
Maina, Maurice
Kasera, Kadondi
Mulama, Beatrice
Mugi, Beatrice
Weyenga, Herman
author_facet Enos, Masini
Sitienei, Joseph
Ong’ang’o, Jane
Mungai, Brenda
Kamene, Maureen
Wambugu, Jesse
Kipruto, Hillary
Manduku, Veronica
Mburu, Josephine
Nyaboke, Drusilla
Ngari, Faith
Omesa, Eunice
Omale, Newton
Mwirigi, Nkirote
Okallo, Geoffrey
Njoroge, Janice
Githiomi, Martin
Mwangi, Mike
Kirathe, Dickson
Kiplimo, Richard
Ndombi, Amos
Odeny, Lazarus
Mailu, Eunice
Kandie, Timothy
Maina, Maurice
Kasera, Kadondi
Mulama, Beatrice
Mugi, Beatrice
Weyenga, Herman
author_sort Enos, Masini
collection PubMed
description BACKGROUND: We aimed to determine the prevalence of pulmonary TB amongst the adult population (≥15 years) in 2016 in Kenya. METHOD: A nationwide cross-sectional survey where participants first underwent TB symptom screening and chest x-ray. Subsequently, participants who reported cough >2weeks and/or had a chest x-ray suggestive of TB, submitted sputum specimen for laboratory examination by smear microscopy, culture and Xpert MTB/RIF. RESULT: The survey identified 305 prevalent TB cases translating to a prevalence of 558 [95%CI 455–662] per 100,000 adult population. The highest disease burden was reported among people aged 25–34 years (716 [95% CI 526–906]), males (809 [(95% CI 656–962]) and those who live in urban areas (760 [95% CI 539–981]). Compared to the reported TB notification rate for Kenya in 2016, the prevalence to notification ratio was 2.5:1. The gap between the survey prevalence and notification rates was highest among males, age groups 25–34, and the older age group of 65 years and above. Only 48% of the of the survey prevalent cases reported cough >2weeks. In addition, only 59% of the identified cases had the four cardinal symptoms for TB (cough ≥2 weeks, fever, night sweat and weight loss. However, 88.2% had an abnormal chest x-ray suggestive of TB. The use of Xpert MTB/RIF identified 77.7% of the cases compared to smear microscopy’s 46%. Twenty-one percent of the survey participants with respiratory symptoms reported to have sought prior health care at private clinics and chemists. Among the survey prevalent cases who reported TB related symptoms, 64.9% had not sought any health care prior to the survey. CONCLUSION: This survey established that TB prevalence in Kenya is higher than had been estimated, and about half of the those who fall ill with the disease each year are missed.
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spelling pubmed-63062662019-01-08 Kenya tuberculosis prevalence survey 2016: Challenges and opportunities of ending TB in Kenya Enos, Masini Sitienei, Joseph Ong’ang’o, Jane Mungai, Brenda Kamene, Maureen Wambugu, Jesse Kipruto, Hillary Manduku, Veronica Mburu, Josephine Nyaboke, Drusilla Ngari, Faith Omesa, Eunice Omale, Newton Mwirigi, Nkirote Okallo, Geoffrey Njoroge, Janice Githiomi, Martin Mwangi, Mike Kirathe, Dickson Kiplimo, Richard Ndombi, Amos Odeny, Lazarus Mailu, Eunice Kandie, Timothy Maina, Maurice Kasera, Kadondi Mulama, Beatrice Mugi, Beatrice Weyenga, Herman PLoS One Research Article BACKGROUND: We aimed to determine the prevalence of pulmonary TB amongst the adult population (≥15 years) in 2016 in Kenya. METHOD: A nationwide cross-sectional survey where participants first underwent TB symptom screening and chest x-ray. Subsequently, participants who reported cough >2weeks and/or had a chest x-ray suggestive of TB, submitted sputum specimen for laboratory examination by smear microscopy, culture and Xpert MTB/RIF. RESULT: The survey identified 305 prevalent TB cases translating to a prevalence of 558 [95%CI 455–662] per 100,000 adult population. The highest disease burden was reported among people aged 25–34 years (716 [95% CI 526–906]), males (809 [(95% CI 656–962]) and those who live in urban areas (760 [95% CI 539–981]). Compared to the reported TB notification rate for Kenya in 2016, the prevalence to notification ratio was 2.5:1. The gap between the survey prevalence and notification rates was highest among males, age groups 25–34, and the older age group of 65 years and above. Only 48% of the of the survey prevalent cases reported cough >2weeks. In addition, only 59% of the identified cases had the four cardinal symptoms for TB (cough ≥2 weeks, fever, night sweat and weight loss. However, 88.2% had an abnormal chest x-ray suggestive of TB. The use of Xpert MTB/RIF identified 77.7% of the cases compared to smear microscopy’s 46%. Twenty-one percent of the survey participants with respiratory symptoms reported to have sought prior health care at private clinics and chemists. Among the survey prevalent cases who reported TB related symptoms, 64.9% had not sought any health care prior to the survey. CONCLUSION: This survey established that TB prevalence in Kenya is higher than had been estimated, and about half of the those who fall ill with the disease each year are missed. Public Library of Science 2018-12-26 /pmc/articles/PMC6306266/ /pubmed/30586448 http://dx.doi.org/10.1371/journal.pone.0209098 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Enos, Masini
Sitienei, Joseph
Ong’ang’o, Jane
Mungai, Brenda
Kamene, Maureen
Wambugu, Jesse
Kipruto, Hillary
Manduku, Veronica
Mburu, Josephine
Nyaboke, Drusilla
Ngari, Faith
Omesa, Eunice
Omale, Newton
Mwirigi, Nkirote
Okallo, Geoffrey
Njoroge, Janice
Githiomi, Martin
Mwangi, Mike
Kirathe, Dickson
Kiplimo, Richard
Ndombi, Amos
Odeny, Lazarus
Mailu, Eunice
Kandie, Timothy
Maina, Maurice
Kasera, Kadondi
Mulama, Beatrice
Mugi, Beatrice
Weyenga, Herman
Kenya tuberculosis prevalence survey 2016: Challenges and opportunities of ending TB in Kenya
title Kenya tuberculosis prevalence survey 2016: Challenges and opportunities of ending TB in Kenya
title_full Kenya tuberculosis prevalence survey 2016: Challenges and opportunities of ending TB in Kenya
title_fullStr Kenya tuberculosis prevalence survey 2016: Challenges and opportunities of ending TB in Kenya
title_full_unstemmed Kenya tuberculosis prevalence survey 2016: Challenges and opportunities of ending TB in Kenya
title_short Kenya tuberculosis prevalence survey 2016: Challenges and opportunities of ending TB in Kenya
title_sort kenya tuberculosis prevalence survey 2016: challenges and opportunities of ending tb in kenya
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6306266/
https://www.ncbi.nlm.nih.gov/pubmed/30586448
http://dx.doi.org/10.1371/journal.pone.0209098
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