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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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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). |
format | Online Article Text |
id | pubmed-8223623 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
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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