| Literature DB >> 30170572 |
Steven A Cowman1,2, Joseph Jacob3,4, Sayed Obaidee5, R Andres Floto5,6, Robert Wilson3,7, Charles S Haworth5,6, Michael R Loebinger3,7.
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.Entities:
Keywords: High resolution computed tomography; Latent class analysis; Nontuberculous mycobacteria
Mesh:
Year: 2018 PMID: 30170572 PMCID: PMC6119278 DOI: 10.1186/s12890-018-0675-8
Source DB: PubMed Journal: BMC Pulm Med ISSN: 1471-2466 Impact factor: 3.317
Fig. 1CT features of latent classes identified in the Royal Brompton (left panel) and Papworth (right panel) cohorts. The three classes identified by latent class analysis in each cohort are shown in the top, middle and bottom panels. The individual CT features used in the NTM scoring system are shown on the x-axes and the proportion of subjects on the y-axes. Colours represent the severity (low, medium or high), or the presence or absence of the CT feature
Fig. 2Composite CT scores between latent classes in the a) Royal Brompton and b) Papworth cohorts. The three classes identified by latent class analysis in each cohort are shown on the x-axes, the composite CT score for each class are shown on the y-axis
Clinical characteristics of latent classes in the Royal Brompton cohort
| Class | Adjusted | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | |||
| Female Sex | 9 (64.3%) | 22 (57.9%) | 23 (69.7%) | 0.571 | 0.670 |
| Age (years) | 72.4 (±10.0) | 61.5 (±11.1) | 66.8 (±9.1) |
|
|
| Smoking | 0.411 | 0.575 | |||
| Never smoker | 6 (42.9%) | 18 (47.4%) | 17 (51.5%) | ||
| Ex-smoker | 5 (35.7%) | 16 (42.1%) | 15 (45.5%) | ||
| Current smoker | 3 (21.4%) | 4 (10.5%) | 1 (3.0%) | ||
| White - British Ethnicity | 12 (85.7%) | 30 (78.9%) | 28 (84.8%) | 0.747 | 0.747 |
| Diagnosis |
|
| |||
| Bronchiectasis | 5 (35.7%) | 13 (34.2%) | 25 (75.8%) | ||
| COPD | 5 (35.7%) | 11 (28.9%) | 4 (12.1%) | ||
| Other | 0 (0.0%) | 6 (15.8%) | 2 (6.1%) | ||
| No underlying disease | 4 (28.6%) | 8 (21.1%) | 2 (6.1%) | ||
| Systemic corticosteroids | 4 (28.6%) | 7 (18.4%) | 5 (15.2%) | 0.574 | 0.670 |
| Oral antibiotic prophylaxis | 2 (14.3%) | 9 (23.7%) | 11 (33.3%) | 0.404 | 0.575 |
| Nebulised antibiotic prophylaxis | 1 (7.1%) | 2 (5.3%) | 4 (12.1%) | 0.677 | 0.702 |
| Chronic | 0 (0.0%) | 3 (7.9%) | 7 (21.2%) | 0.088 | 0.176 |
| Semi-invasive Aspergillosis | 2 (14.3%) | 1 (2.6%) | 0 | 0.069 | 0.155 |
| NTM species | 0.612 | 0.685 | |||
| | 4 (28.6%) | 4 (10.5%) | 6 (18.2%) | ||
| | 7 (50.0%) | 18 (47.4%) | 19 (57.6%) | ||
| | 1 (7.1%) | 4 (10.5%) | 4 (12.1%) | ||
| | 1 (7.1%) | 8 (21.1%) | 2 (6.1%) | ||
| Other species | 1 (7.1%) | 4 (10.5%) | 2 (6.1%) | ||
| Sputum smear positive | 1 (7.1%) | 3 (7.9%) | 5 (15.2%) | 0.639 | 0.688 |
| Currently receiving NTM treatment | 6 (42.9%) | 8 (21.1%) | 4 (12.1%) | 0.072 | 0.155 |
| Ever received NTM treatment | 11 (78.6%) | 15 (39.5%) | 11 (33.3%) |
| 0.060 |
| Duration of NTM disease (years) | 3.4 (±3.2) | 1.6 (±2.6) | 4.3 (±4.7) |
|
|
| Age at diagnosis (years) | 69.6 (±9.9) | 60.0 (±11.5) | 62.5 (±10.6) |
| 0.098 |
| BMI (kg/m2) | 18.3 (±3.2) | 22.6 (±4.3) | 22.3 (±3.4) |
|
|
| SGRQ total score | 51.3 (±24.6) | 42.1 (±26.1) | 48.1 (±21.6) | 0.443 | 0.591 |
| MRC dyspnoea score | 2.9 (±1.4) | 2.4 (±1.5) | 2.6 (±1.1) | 0.513 | 0.653 |
| FEV1 (% predicted) | 58.7 (±13.3) | 69.5 (±27.6) | 53.9 (±20.1) |
| 0.081 |
| FVC (% predicted) | 83.1 (±27.0) | 97.7 (±20.8) | 85.8 (±16.8) |
| 0.081 |
| TLCOc (% predicted) | 47.9 (±24.1) | 62.2 (±26.0) | 59.2 (±18.2) | 0.25 | 0.389 |
| Haemoglobin (g/dL) | 12.7 (±1.7) | 13.7 (±1.6) | 13.7 (±1.1) |
| 0.125 |
| Neutrophil count (× 109/L) | 7.0 (±2.9) | 5.3 (±3.0) | 6.1 (±3.1) | 0.186 | 0.326 |
| Lymphocyte count (× 109/L) | 1.4 (±0.5) | 1.6 (±0.6) | 1.8 (±0.7) | 0.242 | 0.389 |
| Serum albumin (g/L) | 36.0 (±6.3) | 40.2 (±3.7) | 38.2 (±3.9) |
|
|
| CRP (mg/L) | 37.2 (±51.1) | 7.1 (±13.7) | 10.0 (±13.5) |
|
|
| Platelet count (× 109/L) | 298 (±126) | 244 (±62) | 255 (±86) | 0.126 | 0.235 |
Continuous variables are given as mean ± standard deviation and compared using ANOVA, categorical values are given as number and percentage and compared using Fisher’s exact test
COPD chronic obstructive pulmonary disease, BMI body mass index, SGRQ St George’s Respiratory Questionnaire, MRC Medical Research Council dyspnoea scale, FEV1 forced expiratory volume in 1 s, FVC forced vital capacity, TLCOc corrected transfer factor for carbon monoxide, CRP C-reactive protein
Values shown in bold indicate P < 0.05
Fig. 3Kaplan-Meier survival curves for latent classes in the Royal Brompton cohort. X-axis = time (weeks), Y-axis = Proportion surviving, lines = latent classes