Cowman, SA;
Jacob, J;
Obaidee, S;
Floto, RA;
Wilson, R;
Haworth, CS;
Loebinger, MR;
(2018)
Latent Class Analysis to Define Radiological Subgroups in Pulmonary Nontuberculous Mycobacterial Disease.
BMC Pulmonary Medicine
, 18
(145)
10.1186/s12890-018-0675-8.
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Abstract
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.
| Type: | Article |
|---|---|
| Title: | Latent Class Analysis to Define Radiological Subgroups in Pulmonary Nontuberculous Mycobacterial Disease |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1186/s12890-018-0675-8 |
| Publisher version: | https://doi.org/10.1186/s12890-018-0675-8 |
| Language: | English |
| Additional information: | This 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. |
| Keywords: | Nontuberculous mycobacteria, Latent class analysis, High resolution computed tomography |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Respiratory Medicine |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10054651 |
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