| Literature DB >> 30546032 |
Hung-Ling Huang1,2, Meng-Hsuan Cheng1, Po-Liang Lu2,3, Chia-Jung Liu4, Inn-Wen Chong1,2,5, Jann-Yuan Wang6.
Abstract
The clinical significance of a single Mycobacterium kansasii (MK) isolation in multiple sputum samples remains unknown. We conducted this study to evaluate the outcome and predictors of developing MK-pulmonary disease (PD) within 1 year among these patients. Patients with a single MK isolation from ≥3 sputum samples collected within 3 months and ≥2 follow-up sputum samples and chest radiography in the subsequent 9 months between 2008 and 2016 were included. The primary outcome was development of MK-PD within 1 year, with its predictors explored using multivariate logistic regression analysis. A total of 83 cases of a single MK isolation were identified. The mean age was 68.9 ± 17.9, with a male/female ratio of 1.96. Within 1 year, 16 (19%) cases progressed to MK-PD; risk factors included high acid-fast smear (AFS) grade (≥3), elementary occupation workers, and initial radiographic score >6, whereas coexistence with other nontuberculous mycobacterium species was protective. Among patients who developed MK-PD, all experienced radiographic progression, and 44% died within 1 year. Although a single MK isolation does not fulfil the diagnostic criteria of MK-PD, this disease may develop if having above-mentioned risk factors. Early anti-MK treatment should be considered for high-risk patients.Entities:
Mesh:
Year: 2018 PMID: 30546032 PMCID: PMC6292854 DOI: 10.1038/s41598-018-36255-w
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Flowchart of selection of new cases of Mycobacterium kansasii (MK) pulmonary disease (PD) in six hospitals.
Clinical characteristics of patients with a single Mycobacterium kansasii isolation, stratified by coexistence of other nontuberculous mycobacteria species.
| Coexistence of other NTM (N = 15) | No coexistence of other NTM (N = 68) | ||
|---|---|---|---|
| Age (year) | 69.5 ± 17.2 | 68.7 ± 18.2 | 0.877 |
| Male sex | 12 (80%) | 43 (63%) | 0.214 |
| Body-mass index (kg/m2) | 20.2 ± 4.2 | 19.8 ± 4.2 | 0.586 |
| <18.5 | 5 (33%) | 30 (44%) | 0.476 |
| Smoking status | |||
| Never smoker | 6 (40%) | 25 (37%) | 0.815 |
| Ex-smoker | 8 (53%) | 35 (52%) | 0.896 |
| Current smoker | 1 (7%) | 8 (12%) | 0.908 |
| Alcoholism | 5 (33%) | 26 (38%) | 0.722 |
| Education period (n = 13, 65) | |||
| <6 years | 7 (54%) | 35 (53%) | >0.999 |
| 6 ~ 9 years | 2 (15%) | 7 (11%) | 0.582 |
| 9 ~ 12 years | 1 (8%) | 14 (22%) | 0.271 |
| ≥12 years | 3 (23%) | 9 (14%) | 0.405 |
| Occupation historya | |||
| Elementary occupations | 1 (7%) | 19 (28%) | 0.103 |
| Professionals | 1 (7%) | 1 (2%) | 0.331 |
| Technicians and associate professionals | 0 | 1 (2%) | >0.999 |
| Service and sales workers | 3 (20%) | 12 (17%) | 0.830 |
| Craft and related trades workers | 0 | 3 (4%) | >0.999 |
| Plant/machine operators and assemblers | 1 (7%) | 2 (3%) | 0.455 |
| Retired or unemployed | 9 (60%) | 29 (43%) | 0.222 |
| Pulmonary comorbidity | |||
| Chronic obstructive pulmonary disease | 4 (27%) | 24 (35%) | 0.735 |
| Bronchiectasis | 4 (27%) | 17 (25%) | 0.893 |
| History of pulmonary tuberculosis | 5 (33%) | 18 (27%) | 0.591 |
| Lung cancer | 2 (13%) | 7 (10%) | 0.663 |
| Other pulmonary diseases | 1 (7%)b | 9 (13%)c | 0.665 |
| Systemic comorbidity | |||
| Chronic kidney disease, stage 3–5 | 3 (20%) | 16 (24%) | 0.768 |
| Congestive heart failure | 5 (33%) | 5 (7%) | 0.018 |
| Diabetes mellitus | 7 (47%) | 20 (29%) | 0.197 |
| Extra-pulmonary cancer | 1 (7%)d | 13 (19%)e | 0.468 |
| Steroid user | 0 | 8 (12%) | 0.361 |
| HIV infection | 0 | 1 (2%) | >0.999 |
| Other systemic diseases | 0 | 6 (9%)g | 0.563 |
| Initial symptoms | |||
| Sputum | 10 (67%) | 58 (85%) | 0.090 |
| Cough | 11 (73%) | 42 (62%) | 0.399 |
| Hemoptysis | 1 (7%) | 15 (22%) | 0.281 |
| Dyspnea | 5 (33%) | 21 (31%) | 0.853 |
| Initial laboratory data | |||
| Leukocyte > 9000/uL | 2 (13%) | 24 (36%) | 0.126 |
| Segment > 70% (n = 13, 50) | 3 (23%) | 25 (50%) | 0.119 |
| Hemoglobin < 12 g/dL | 9 (60%) | 30 (46%) | 0.309 |
| Platelet count < 140 K/uL | 2 (13%) | 11 (17%) | 0.751 |
| C-reactive protein > 10 mg/L (n = 5, 40) | 3 (60%) | 27 (68%) | 0.737 |
| Aspartate transaminase > 40 U/L (n = 13,66) | 1 (7%) | 12 (19%) | 0.444 |
| Alanine transaminase > 40 U/L (n = 14, 66) | 2 (13%) | 12 (19%) | 0.638 |
| Creatinine > 1.4 mg/dL (n = 15, 67) | 2 (13%) | 13 (19%) | 0.726 |
| Albumin < 3.5 g/dL (n = 3, 20) | 2 (67%) | 14 (70%) | >0.999 |
| Lung function (n = 8, 32) | |||
| FEV1 (% of predicted) | 74.2 ± 37.0 | 71.7 ± 36.9 | 0.584 |
| FEV1/FVC | 72.9 ± 10.0 | 72.2 ± 10.8 | 0.871 |
| Obstructive type | 3 (38%) | 14 (44%) | 0.959 |
| Restrictive type | 1 (13%) | 8 (25%) | 0.571 |
| Radiographic finding | |||
| Predominant pattern | |||
| Fibrocavitory | 1 (7%) | 11 (16%) | 0.360 |
| Nodular bronchiectasis | 0 | 9 (13%) | 0.279 |
| Multifocal involvement | 12 (80%) | 56 (81%) | >0.999 |
| Initial radiographic score | 5.5 ± 2.2 | 5.7 ± 3.3 | 0.818 |
| Follow-up radiographic score | 6.1 ± 3.6 | 6.8 ± 4.3 | 0.552 |
| Initial sputum study | |||
| Number of sputum samples | 4.1 ± 1.3 | 3.8 ± 1.4 | 0.552 |
| Acid-fast smear | |||
| Negative | 9 (60%) | 53 (78%) | 0.148 |
| Low-grade positive (Gr. 1, 2) | 6 (40%) | 12 (18%) | 0.065 |
| High-grade positive (Gr. 3, 4) | 0 (0%) | 3 (4%) | >0.999 |
Abbreviations: FEV1: forced expiratory volume in first second; FVC: forced vital capacity; NTM: nontuberculous mycobacteria.
Data are number (percentage) or mean ± standard deviation.
aThe occupational category was noted according to the International Standard Classification of Occupations, 2008 (ISCO-08)[28].
bOne had asthma.
cThree had interstitial lung disease, three had asthma, two had pneumoconiosis, and the remaining one had both interstitial lung disease and asthma.
dOne had oesophageal cancer.
eFive had leukaemia and eight had solid organ tumours, including thymic cancer in two; prostate cancer in two; and one each for gastric cancer, papilla of Vater cancer, colon cancer, and basal cell carcinoma.
fSteroid user was defined as receiving at least 1 week with a dose of ≥30 mg/day of oral prednisone (or equivalent).
gFour had autoimmune disease, and two had liver cirrhosis.
Figure 2Kaplan–Meier curves for time to development of Mycobacterium kansasii (MK) pulmonary disease (PD), stratified by coexistence of nontuberculous mycobacteria (NTM) species other than MK.
Univariate and multivariate logistic regression analysis for predictors of progression to Mycobacterium kansasii pulmonary disease.
| Variables | Univariate (n = 83) | Multivariate (n = 65)a | ||
|---|---|---|---|---|
| OR (95% CI) | OR (95% CI) | |||
| Age > 65 | 2.27 (0.59–8.76) | 0.236 | ||
| Male sex | 0.72 (0.26–2.53) | 0.723 | ||
| Body-mass index < 18.5 | 3.58 (1.11–11.55) | 0.033 | 1.65 (0.05–7.54) | 0.696 |
| Elementary occupationsb | 22.12 (5.73–85.45) | <0.001 | 10.77 (1.65–70.51) | 0.013 |
| Chronic obstructive pulmonary disease | 4.54 (1.44–14.29) | 0.010 | 2.48 (0.24–25.74) | 0.447 |
| History of pulmonary tuberculosis | 0.50 (0.13–1.95) | 0.314 | ||
| Bronchiectasis | 0.63 (0.16–2.46) | 0.505 | ||
| Diabetes mellitus | 0.24 (0.05–1.15) | 0.073 | 0.27 (0.03–2.91) | 0.280 |
| Congestive heart failure | 1.05 (0.20–5.52) | 0.951 | ||
| Steroid use | 5.25 (1.15–23.94) | 0.032 | 3.58 (0.20–63.18) | 0.383 |
| Hemoptysis | 3.42 (1.02–11.53) | 0.047 | 1.67 (0.13–22.26) | 0.698 |
| Cough | 2.93 (0.76–11.25) | 0.118 | ||
| Sputum | 1.69 (0.34–8.35) | 0.523 | ||
| Dyspnea | 1.97 (0.64–6.03) | 0.238 | ||
| Leukocyte > 9000/uL | 6.36 (2.02–20.05) | 0.001 | 1.94 (0.27–13.87) | 0.509 |
| Hemoglobin < 12 g/dL | 3.34 (1.06–10.57) | 0.034 | 3.55 (0.48–26.09) | 0.213 |
| Initial radiographic scores > 6 | 5.38 (1.56–18.52) | 0.008 | 10.25 (1.24–84.59) | 0.031 |
| Anti-MK treatment: intent to treatc | 2.69 (0.76–9.44) | 0.114 | ||
| Anti-MK treatment: per-protocold | 4.33 (0.56–33.29) | 0.129 | ||
| High-grade (Gr. 3 or 4) positive for AFSa | 32.59 (1.60–665.77) | 0.007 | ||
| Co-existence of NTM species other than MKa | 0.78 (0.68–0.88) | 0.037 | ||
Abbreviation: AFS, acid-fast smear; NTM, nontuberculous mycobacteria.
aAmong the 15 episodes with coexistence of other NTM species, none progressed to MK-PD during 1-year follow-up, whereas 16 (24%) of the 68 without concomitant NTM species did (p = 0.037). Of the 68 episodes, 3 had high-grade positivity (grades 3 and 4) in sputum AFS, and all developed MK-PD, whereas 13 (20%) of the 65 episodes without high AFS grade did (p = 0.001). Thus, we conclude that coexistence with other NTM was a significant protector against MK-PD and that high AFS grade was a significant predictor for MK-PD. We excluded 18 episodes from the data in fitting the multivariate logistic model.
bThe category of occupation was noted according to the International Standard Classification of Occupations, 2008 (ISCO-08)[28].
cPatients who had ever received any drugs against MK, regardless of duration.
dPatients who had ever received combination chemotherapy against MK for more than 2 months in the first 3 months.
Treatment and 1-year outcome of patients, stratified by progression to Mycobacterium kansasii pulmonary disease (MK-PD).
| Progressed to MK-PD (N = 16) | Not progress to MK-PD (N = 67) | ||
|---|---|---|---|
|
| |||
| Intent to treat analysisa | 5 (29%) | 9 (13%) | 0.087 |
| Per-protocol analysisb | 2 (13%) | 2 (3%) | 0.166 |
| Mortality in one year | 7 (44%) | 6 (9%) | 0.002 |
| Time to mortality | 245 (192–299) | 286 (190–302) | 0.681 |
|
| |||
| Sepsis with bacterial pathogen | 3 (19%) | 4 (6%) | |
|
| 4 (25%) | 0 (0%) | |
| Others | 0 | 2 (3%) | |
Data are number (percentage) or median ± interquartile range.
p value was calculated using the chi-squared test unless otherwise mentioned. aPatients who had ever received any drugs against MK, regardless of duration.
bPatients who had ever received combination chemotherapy against MK for more than 2 months in the first 3 months.
cp value was calculated by log-rank test.
dThe cause of death was lung cancer in one and acute myocardial infarction in the other.