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Latent class analysis to define radiological subgroups in pulmonary nontuberculous mycobacterial disease

BACKGROUND: Nontuberculous mycobacterial (NTM) pulmonary disease has conventionally been classified on the basis of radiology into fibrocavitary and nodular-bronchiectatic disease. Whilst being of great clinical utility, this may not capture the full spectrum of radiological appearances present. The...

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Autores principales: Cowman, Steven A., Jacob, Joseph, Obaidee, Sayed, Andres Floto, R., Wilson, Robert, Haworth, Charles S., Loebinger, Michael R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6119278/
https://www.ncbi.nlm.nih.gov/pubmed/30170572
http://dx.doi.org/10.1186/s12890-018-0675-8
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author Cowman, Steven A.
Jacob, Joseph
Obaidee, Sayed
Andres Floto, R.
Wilson, Robert
Haworth, Charles S.
Loebinger, Michael R.
author_facet Cowman, Steven A.
Jacob, Joseph
Obaidee, Sayed
Andres Floto, R.
Wilson, Robert
Haworth, Charles S.
Loebinger, Michael R.
author_sort Cowman, Steven A.
collection PubMed
description BACKGROUND: Nontuberculous mycobacterial (NTM) pulmonary disease has conventionally been classified on the basis of radiology into fibrocavitary and nodular-bronchiectatic disease. Whilst being of great clinical utility, this may not capture the full spectrum of radiological appearances present. The aim of this study was to use latent class analysis (LCA) as an unbiased method of grouping subjects with NTM-pulmonary disease based on their CT features and to compare the clinical characteristics of these groups. METHODS: Individuals with NTM-pulmonary disease were recruited and a contemporaneous CT scan obtained. This was scored using an NTM-specific scoring system. LCA was used to identify groups with common radiological characteristics. The analysis was then repeated in an independent cohort. RESULTS: Three classes were identified in the initial cohort of 85 subjects. Group 1 was characterised by severe bronchiectasis, cavitation and aspergillomas, Group 2 by relatively minor radiological changes, and Group 3 by predominantly bronchiectasis only. These findings were reproduced in an independent cohort of 62 subjects. Subjects in Group 1 had a lower BMI and serum albumin, higher serum CRP, and a higher mortality. CONCLUSIONS: These findings suggest that NTM-pulmonary may be divided into three radiological subgroups, and that important clinical and survival differences exist between these groups. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12890-018-0675-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-61192782018-09-05 Latent class analysis to define radiological subgroups in pulmonary nontuberculous mycobacterial disease Cowman, Steven A. Jacob, Joseph Obaidee, Sayed Andres Floto, R. Wilson, Robert Haworth, Charles S. Loebinger, Michael R. BMC Pulm Med Research Article BACKGROUND: Nontuberculous mycobacterial (NTM) pulmonary disease has conventionally been classified on the basis of radiology into fibrocavitary and nodular-bronchiectatic disease. Whilst being of great clinical utility, this may not capture the full spectrum of radiological appearances present. The aim of this study was to use latent class analysis (LCA) as an unbiased method of grouping subjects with NTM-pulmonary disease based on their CT features and to compare the clinical characteristics of these groups. METHODS: Individuals with NTM-pulmonary disease were recruited and a contemporaneous CT scan obtained. This was scored using an NTM-specific scoring system. LCA was used to identify groups with common radiological characteristics. The analysis was then repeated in an independent cohort. RESULTS: Three classes were identified in the initial cohort of 85 subjects. Group 1 was characterised by severe bronchiectasis, cavitation and aspergillomas, Group 2 by relatively minor radiological changes, and Group 3 by predominantly bronchiectasis only. These findings were reproduced in an independent cohort of 62 subjects. Subjects in Group 1 had a lower BMI and serum albumin, higher serum CRP, and a higher mortality. CONCLUSIONS: These findings suggest that NTM-pulmonary may be divided into three radiological subgroups, and that important clinical and survival differences exist between these groups. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12890-018-0675-8) contains supplementary material, which is available to authorized users. BioMed Central 2018-08-31 /pmc/articles/PMC6119278/ /pubmed/30170572 http://dx.doi.org/10.1186/s12890-018-0675-8 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
Cowman, Steven A.
Jacob, Joseph
Obaidee, Sayed
Andres Floto, R.
Wilson, Robert
Haworth, Charles S.
Loebinger, Michael R.
Latent class analysis to define radiological subgroups in pulmonary nontuberculous mycobacterial disease
title Latent class analysis to define radiological subgroups in pulmonary nontuberculous mycobacterial disease
title_full Latent class analysis to define radiological subgroups in pulmonary nontuberculous mycobacterial disease
title_fullStr Latent class analysis to define radiological subgroups in pulmonary nontuberculous mycobacterial disease
title_full_unstemmed Latent class analysis to define radiological subgroups in pulmonary nontuberculous mycobacterial disease
title_short Latent class analysis to define radiological subgroups in pulmonary nontuberculous mycobacterial disease
title_sort latent class analysis to define radiological subgroups in pulmonary nontuberculous mycobacterial disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6119278/
https://www.ncbi.nlm.nih.gov/pubmed/30170572
http://dx.doi.org/10.1186/s12890-018-0675-8
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