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‘If not TB, what could it be?’ Chest X-ray findings from the 2016 Kenya Tuberculosis Prevalence Survey

BACKGROUND: The prevalence of diseases other than TB detected during chest X-ray (CXR) screening is unknown in sub-Saharan Africa. This represents a missed opportunity for identification and treatment of potentially significant disease. Our aim was to describe and quantify non-TB abnormalities ident...

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Autores principales: Mungai, Brenda Nyambura, Joekes, Elizabeth, Masini, Enos, Obasi, Angela, Manduku, Veronica, Mugi, Beatrice, Ong’angò, Jane, Kirathe, Dickson, Kiplimo, Richard, Sitienei, Joseph, Oronje, Rose, Morton, Ben, Squire, Stephen Bertel, MacPherson, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8223623/
https://www.ncbi.nlm.nih.gov/pubmed/33504563
http://dx.doi.org/10.1136/thoraxjnl-2020-216123
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author Mungai, Brenda Nyambura
Joekes, Elizabeth
Masini, Enos
Obasi, Angela
Manduku, Veronica
Mugi, Beatrice
Ong’angò, Jane
Kirathe, Dickson
Kiplimo, Richard
Sitienei, Joseph
Oronje, Rose
Morton, Ben
Squire, Stephen Bertel
MacPherson, Peter
author_facet Mungai, Brenda Nyambura
Joekes, Elizabeth
Masini, Enos
Obasi, Angela
Manduku, Veronica
Mugi, Beatrice
Ong’angò, Jane
Kirathe, Dickson
Kiplimo, Richard
Sitienei, Joseph
Oronje, Rose
Morton, Ben
Squire, Stephen Bertel
MacPherson, Peter
author_sort Mungai, Brenda Nyambura
collection PubMed
description BACKGROUND: The prevalence of diseases other than TB detected during chest X-ray (CXR) screening is unknown in sub-Saharan Africa. This represents a missed opportunity for identification and treatment of potentially significant disease. Our aim was to describe and quantify non-TB abnormalities identified by TB-focused CXR screening during the 2016 Kenya National TB Prevalence Survey. METHODS: We reviewed a random sample of 1140 adult (≥15 years) CXRs classified as ‘abnormal, suggestive of TB’ or ‘abnormal other’ during field interpretation from the TB prevalence survey. Each image was read (blinded to field classification and study radiologist read) by two expert radiologists, with images classified into one of four major anatomical categories and primary radiological findings. A third reader resolved discrepancies. Prevalence and 95% CIs of abnormalities diagnosis were estimated. FINDINGS: Cardiomegaly was the most common non-TB abnormality at 259 out of 1123 (23.1%, 95% CI 20.6% to 25.6%), while cardiomegaly with features of cardiac failure occurred in 17 out of 1123 (1.5%, 95% CI 0.9% to 2.4%). We also identified chronic pulmonary pathology including suspected COPD in 3.2% (95% CI 2.3% to 4.4%) and non-specific patterns in 4.6% (95% CI 3.5% to 6.0%). Prevalence of active-TB and severe post-TB lung changes was 3.6% (95% CI 2.6% to 4.8%) and 1.4% (95% CI 0.8% to 2.3%), respectively. INTERPRETATION: Based on radiological findings, we identified a wide variety of non-TB abnormalities during population-based TB screening. TB prevalence surveys and active case finding activities using mass CXR offer an opportunity to integrate disease screening efforts. FUNDING: National Institute for Health Research (IMPALA-grant reference 16/136/35).
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spelling pubmed-82236232021-07-09 ‘If not TB, what could it be?’ Chest X-ray findings from the 2016 Kenya Tuberculosis Prevalence Survey Mungai, Brenda Nyambura Joekes, Elizabeth Masini, Enos Obasi, Angela Manduku, Veronica Mugi, Beatrice Ong’angò, Jane Kirathe, Dickson Kiplimo, Richard Sitienei, Joseph Oronje, Rose Morton, Ben Squire, Stephen Bertel MacPherson, Peter Thorax Tuberculosis BACKGROUND: The prevalence of diseases other than TB detected during chest X-ray (CXR) screening is unknown in sub-Saharan Africa. This represents a missed opportunity for identification and treatment of potentially significant disease. Our aim was to describe and quantify non-TB abnormalities identified by TB-focused CXR screening during the 2016 Kenya National TB Prevalence Survey. METHODS: We reviewed a random sample of 1140 adult (≥15 years) CXRs classified as ‘abnormal, suggestive of TB’ or ‘abnormal other’ during field interpretation from the TB prevalence survey. Each image was read (blinded to field classification and study radiologist read) by two expert radiologists, with images classified into one of four major anatomical categories and primary radiological findings. A third reader resolved discrepancies. Prevalence and 95% CIs of abnormalities diagnosis were estimated. FINDINGS: Cardiomegaly was the most common non-TB abnormality at 259 out of 1123 (23.1%, 95% CI 20.6% to 25.6%), while cardiomegaly with features of cardiac failure occurred in 17 out of 1123 (1.5%, 95% CI 0.9% to 2.4%). We also identified chronic pulmonary pathology including suspected COPD in 3.2% (95% CI 2.3% to 4.4%) and non-specific patterns in 4.6% (95% CI 3.5% to 6.0%). Prevalence of active-TB and severe post-TB lung changes was 3.6% (95% CI 2.6% to 4.8%) and 1.4% (95% CI 0.8% to 2.3%), respectively. INTERPRETATION: Based on radiological findings, we identified a wide variety of non-TB abnormalities during population-based TB screening. TB prevalence surveys and active case finding activities using mass CXR offer an opportunity to integrate disease screening efforts. FUNDING: National Institute for Health Research (IMPALA-grant reference 16/136/35). BMJ Publishing Group 2021-06 2021-01-27 /pmc/articles/PMC8223623/ /pubmed/33504563 http://dx.doi.org/10.1136/thoraxjnl-2020-216123 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Tuberculosis
Mungai, Brenda Nyambura
Joekes, Elizabeth
Masini, Enos
Obasi, Angela
Manduku, Veronica
Mugi, Beatrice
Ong’angò, Jane
Kirathe, Dickson
Kiplimo, Richard
Sitienei, Joseph
Oronje, Rose
Morton, Ben
Squire, Stephen Bertel
MacPherson, Peter
‘If not TB, what could it be?’ Chest X-ray findings from the 2016 Kenya Tuberculosis Prevalence Survey
title ‘If not TB, what could it be?’ Chest X-ray findings from the 2016 Kenya Tuberculosis Prevalence Survey
title_full ‘If not TB, what could it be?’ Chest X-ray findings from the 2016 Kenya Tuberculosis Prevalence Survey
title_fullStr ‘If not TB, what could it be?’ Chest X-ray findings from the 2016 Kenya Tuberculosis Prevalence Survey
title_full_unstemmed ‘If not TB, what could it be?’ Chest X-ray findings from the 2016 Kenya Tuberculosis Prevalence Survey
title_short ‘If not TB, what could it be?’ Chest X-ray findings from the 2016 Kenya Tuberculosis Prevalence Survey
title_sort ‘if not tb, what could it be?’ chest x-ray findings from the 2016 kenya tuberculosis prevalence survey
topic Tuberculosis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8223623/
https://www.ncbi.nlm.nih.gov/pubmed/33504563
http://dx.doi.org/10.1136/thoraxjnl-2020-216123
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