Latent class analysis to define radiological subgroups in pulmonary nontuberculous mycobacterial disease
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 pres...
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| Format: | Article |
| Language: | English |
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BMC
2018-08-01
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| Series: | BMC Pulmonary Medicine |
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| Online Access: | http://link.springer.com/article/10.1186/s12890-018-0675-8 |
| _version_ | 1819158284058230784 |
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| author | Steven A. Cowman Joseph Jacob Sayed Obaidee R. Andres Floto Robert Wilson Charles S. Haworth Michael R. Loebinger |
| author_facet | Steven A. Cowman Joseph Jacob Sayed Obaidee R. Andres Floto Robert Wilson Charles S. Haworth Michael R. Loebinger |
| author_sort | Steven A. Cowman |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-22T16:22:12Z |
| format | Article |
| id | doaj.art-3b96c4e02dd64bc99eb8b60a4e921fbd |
| institution | Directory Open Access Journal |
| issn | 1471-2466 |
| language | English |
| last_indexed | 2024-12-22T16:22:12Z |
| publishDate | 2018-08-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Pulmonary Medicine |
| spelling | doaj.art-3b96c4e02dd64bc99eb8b60a4e921fbd2022-12-21T18:20:14ZengBMCBMC Pulmonary Medicine1471-24662018-08-011811810.1186/s12890-018-0675-8Latent class analysis to define radiological subgroups in pulmonary nontuberculous mycobacterial diseaseSteven A. Cowman0Joseph Jacob1Sayed Obaidee2R. Andres Floto3Robert Wilson4Charles S. Haworth5Michael R. Loebinger6National Heart and Lung Institute, Imperial College LondonNational Heart and Lung Institute, Imperial College LondonCambridge Centre for Lung Infection, Papworth HospitalCambridge Centre for Lung Infection, Papworth HospitalNational Heart and Lung Institute, Imperial College LondonCambridge Centre for Lung Infection, Papworth HospitalNational Heart and Lung Institute, Imperial College LondonAbstract 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.http://link.springer.com/article/10.1186/s12890-018-0675-8Nontuberculous mycobacteriaLatent class analysisHigh resolution computed tomography |
| spellingShingle | Steven A. Cowman Joseph Jacob Sayed Obaidee R. Andres Floto Robert Wilson Charles S. Haworth Michael R. Loebinger Latent class analysis to define radiological subgroups in pulmonary nontuberculous mycobacterial disease BMC Pulmonary Medicine Nontuberculous mycobacteria Latent class analysis High resolution computed tomography |
| 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 | Nontuberculous mycobacteria Latent class analysis High resolution computed tomography |
| url | http://link.springer.com/article/10.1186/s12890-018-0675-8 |
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