Epidemiological Characteristics of Nontuberculous Mycobacterial Pulmonary Disease in South Korea: A Meta-analysis of Individual Participant Data

Article information

Tuberc Respir Dis. 2024;87(3):386-397
Publication date (electronic) : 2024 April 9
doi : https://doi.org/10.4046/trd.2023.0193
1Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
2Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
3Institute of Immunology and Immunological Diseases, Yonsei University College of Medicine, Seoul, Republic of Korea
4Institute for Innovation in Digital Healthcare, Yonsei University, Seoul, Republic of Korea
Address for correspondence Youngmok Park, M.D., Ph.D. Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea Phone 82-2-2228-1952 Fax 82-2-393-6884 E-mail 0mokfv@yuhs.ac
*These authors contributed equally to the manuscript as first author.
Received 2023 December 13; Revised 2024 February 29; Accepted 2024 April 7.

Abstract

Background

Despite the global increase in nontuberculous mycobacterial pulmonary disease (NTM-PD), clinical characteristics show geographical variations. We investigated the clinical characteristics of patients with NTM-PD in South Korea.

Methods

We systematically reviewed articles concerning patients with NTM-PD in South Korea until February 2022. Individual participant data, regardless of treatment, were collected using a standard case report form.

Results

Data of 6,489 patients from 11 hospitals between 2002 and 2019 were analyzed. The mean age was 61.5±11.7 years, of whom 57.7% were women. Mycobacterium avium (41.4%) and Mycobacterium intracellulare (38.4%) comprised most of the causative species, followed by Mycobacterium abscessus subspecies abscessus (8.6%) and M. abscessus subspecies massiliense (7.8%). Bronchiectasis (59.4%) was the most common pulmonary comorbidity. Although reported cases of NTM-PD increased over the years, the proportions of causative species and radiologic forms remained similar. Distinct clinical characteristics were observed according to age and sex. Men were older at the time of diagnosis (median 63.8 years vs. 59.9 years, p<0.001), and had more cavitary lesions than women (38.8% vs. 21.0%, p<0.001). The older group (≥65 years) had higher proportions of patients with body mass index <18.5 kg/m2 (27.4% vs. 18.6%, p<0.001) and cavitary lesions (29.9% vs. 27.6%, p=0.009) than the younger group.

Conclusion

We conducted a meta-analysis of the clinical characteristics of patients with NTM-PD in South Korea, and found age- and sex-related differences in disease-specific severity. Further investigation would enhance our comprehension of the nature of the disease, and inherited and acquired host factors.

Introduction

Nontuberculous mycobacterial pulmonary disease (NTM-PD) has been steadily increasing in incidence and prevalence worldwide [1,2]. In South Korea, the annual prevalence of NTM diseases increased from 11.4 to 56.7 cases per 100,000 population between 2010 and 2021 [3]. Moreover, the proportion of patients aged 65 years or older increased by 20%, while during these 12 years, the direct medical expenditure for NTM disease increased nearly six-fold, leading to a significant burden on healthcare systems [3].

NTM-PD is a chronic infectious condition that often challenges clinicians. Treatment is required over 12 months, with a combination of three or four antibiotics [4,5]. Treatment regimens vary by causative species, but a recent randomized clinical trial found that more than 90% of patients had treatment-related adverse reactions [6]. Overall, treatment outcomes are unfavorable, with treatment success rates reported as 60% for Mycobacterium avium complex (MAC) PD, and 45.6% for Mycobacterium abscessus PD [7,8]. Even after successful treatment, about 31% to 48% of patients experience reinfection or relapse [9-11].

Geographical variation in NTM-PD by region or nation is well known [12]. Understanding the epidemiology of NTM-PD in Korea might identify the manageable features of the disease, which would lead to the improvement of treatment outcomes. However, unlike tuberculosis (TB), there is no obligation to report NTM-PD in many countries, including South Korea. Therefore, previous epidemiologic studies investigating NTM-PD have relied on single-center data, which lack generalizability, or national insurance claim data, which lack information about causative species, radiologic findings, or disease severity. We therefore conducted a systematic review combined with a meta-analysis of individual participant data, aiming to elucidate the disease-specific characteristics of NTM-PD in South Korea.

Materials and Methods

This study was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [13]. The protocol was registered with PROSPERO (registration number: CRD42022343306).

1. Study design and population

We systematically reviewed studies of patients with NTM-PD in South Korea through February 2022. We used the MEDLINE, Embase, Cochrane Library, and KoreaMed databases. The search terms were adapted from MEDLINE, and modified to suit each database (Supplementary Table S1). Two investigators (Kim S and Park Y) independently screened the articles by title and abstract for initial eligibility, followed by a detailed full-text review. Discrepancies or uncertainties were resolved through adjudication by a third author (Kang YA).

The inclusion criteria encompassed all studies with Korean patients with NTM-PD diagnosed according to the comprehensive guidelines disseminated by the American Thoracic Society and the Infectious Diseases Society of America [14]. No restrictions were placed on the type of study design, data collection methods (prospective or retrospective), number of study participants, or treatment modality. We excluded in vitro experimental studies, animal studies, and radiologic studies without or with minimal clinical information on patients with NTM-PD.

2. Data acquisition and integration

We requested that the corresponding or first authors provide data on individual participants. A standardized case report form was used to obtain information on age, sex, year of diagnosis, height, weight, history of TB, history of NTM treatment, comorbidities, smear positivity, causative species, and radiologic forms at the time of diagnosis.

In instances of multiple publications from a single institution, the most representative study was selected as the primary reference, and data pertaining to the article were specifically requested. If two or more primary studies emanated from one institution, consolidated cohort-wide data were used to prevent duplication within the study population.

We divided patients into three subgroups by age, sex, and healthcare institution, with a comparison of four major tertiary referral centers (Samsung Medical Center, Asan Medical Center, Seoul National University Hospital, and Severance Hospital, selected by the size of the NTM-PD clinics) with other institutions.

The BACES score, comprising body mass index (BMI), age, cavity presence, erythrocyte sedimentation rate (ESR), and sex, is designed to predict mortality in patients with NTM-PD [15]. Due to the unavailability of ESR data, we calculated the BACS score in this study, which omits ESR, to evaluate disease severity and prognosis indirectly.

3. Statistical analysis

Numerical data were analyzed using t-tests, while categorical data were analyzed using chi-squared tests and the Cochran-Armitage trend test. p-values <0.05 were considered statistically significant.

Results

1. Clinical characteristics of patients with NTM-PD

A database search identified 1,413 articles. After the eligibility screening, we found 136 articles from 21 institutions. We contacted first/corresponding authors of the 21 institutions, and received responses from 16. Three authors replied with the discarded data, and two authors were unable, or refused, to provide the data. Finally, the data of 6,489 patients from 18 primary references across 11 institutions were included in the analysis (Table 1 and Figure 1) [16-33]. Supplementary Table S2 presents detailed information of the institutions and study designs.

Summary of the 18 articles included for the analysis

Fig. 1.

Flowchart of article selection and individual participant data integration. IPD: individual participant data.

Figure 2 illustrates the increasing numbers of patients with NTM-PD reported in the studies. Smaller numbers were noted in 2018 and 2019, likely due to the database search cutoff in February 2022.

Fig. 2.

Reported numbers of patients with nontuberculous mycobacterial pulmonary disease by diagnosis year.

Table 2 describes the integrated clinical characteristics of patients with NTM-PD in South Korea. The mean age was 61.5±11.7 years, of whom 57.7% were women. A history of TB and NTM treatment were noted in 38.7% and 11.8% of patients, respectively. Bronchiectasis was the most prevalent pulmonary comorbidity (59.4%), followed by chronic obstructive pulmonary disease (COPD; 10.4%). Positive sputum acid-fast bacillus smears were found in 47.5% of patients, while the non-cavitary nodular bronchiectatic form was observed in 64.5%. The causative species of NTM-PD were predominantly MAC (79.8%), and M. abscessus (16.5%). No significant changes in age, sex, or proportion of low BMI, causative species, or radiologic forms of NTM-PD were observed over the study period (all p for trend >0.05) (Figures 3, 4 and Supplementary Figure S1).

Clinical characteristics of patients with nontuberculous mycobacterial pulmonary disease

Fig. 3.

Proportions of causative species of nontuberculous mycobacterial pulmonary disease by year of diagnosis. Cochrane-Armitage trend test was used, p for trend >0.05.

Fig. 4.

Proportions of radiologic types of nontuberculous mycobacterial pulmonary disease by year diagnosis. Cochrane-Armitage trend test was used, p for trend >0.05. NB: nodular bronchiectatic.

2. Subgroup analysis by sex

We found distinct disease-related characteristics between men and women in patients with NTM-PD. Men were diagnosed with NTM-PD at an older age than women (63.8±11.8 years vs. 59.9±11.6 years, p<0.001) (Table 2). Figure 5 shows the age distribution of the patients with NTM-PD at diagnosis. Most men were in their 60s and early 70s, whereas most women were in their 50s and early 60s.

Fig. 5.

Distribution of age at diagnosis for patients with nontuberculous mycobacterial pulmonary disease, by sex, from 2002 to 2019.

MAC was the predominant causative species in both men and women; however, M. abscessus was more prevalent in women than men (19.4% vs. 10.7%, p< 0.001) (Table 2). The composition of the causative species remained consistent throughout the study period in both men and women (all p for trend >0.05) (Supplementary Figures S2-S5).

Cavitary lung lesions were more common in men than women (38.8% vs. 21.0%, p<0.001). BACS scores indicated higher disease severity in men, although the clinical significance was not ascertainable, because by the definition of the score, men were given 1 point (Table 2).

3. Subgroup analysis by age

Clinical characteristics varied between patients aged <65 and ≥65 years (Table 3). Those aged ≥65 had a higher proportion of patients with BMIs <18.5 kg/m2 (27.4% vs. 18.6%, p=0.002), and a higher prevalence of cavitary lesions (29.9% vs. 27.6%, p=0.009). Consequently, the BACS score tended to be higher in the older group, although the clinical significance could not be evaluated, because by the definition of the score, they received 1 point. Additionally, underlying comorbidities were more common in the older group, except bronchiectasis (52.9% vs. 63.9%, p<0.001).

Clinical characteristics of patients with nontuberculous mycobacterial pulmonary disease according to age

4. Subgroup analysis by healthcare institution

Patients were divided according to the reporting institutions (Supplementary Table S3). While the four major referral hospitals accounted for 93% of the patients (6,056 individuals), those from the other institutions tended to have higher disease severity, as indicated by the BACS scores (p for trend <0.001).

Discussion

This study synthesized clinical and disease-related data from 6,489 patients diagnosed with NTM-PD between 2002 and 2019 in South Korea. We observed variations in clinical characteristics according to age and sex. Men were generally older than women at diagnosis, and exhibited a higher prevalence of cavitary disease. Additionally, patients aged ≥65 years presented with a lower BMI, and a greater incidence of cavitary disease. To the best of our knowledge, this is the first comprehensive study to integrate the clinical characteristics and disease-specific features of NTM-PD in South Korea.

Geographical variation in the epidemiology of NTM is well recognized. The distribution of NTM species varies by country and climate. A 2008 study across six continents and 30 countries found MAC to be the most isolated NTM species from pulmonary samples globally (47%), followed by Mycobacterium gordonae (11%), and Mycobacterium xenopi (8%) [12]. In Asia, MAC was the predominant species (54%), but important geographical differences were noted among rapidly growing mycobacteria, accounting for 27% of NTM isolates in Asia, compared to 14%−17.9% in Western countries. Within Asia, the proportions varied significantly: Tokyo (Japan) had 6.6%, Taiwan 50%, and South Korea 28.7% [12]. A separate study reported that the incidence rate of NTM-PD varied by region within Japan, likely influenced by climatic factors [34]. Hence, understanding the local epidemiology is crucial for NTM-PD management.

The diagnosis of NTM-PD does not necessitate immediate treatment; thus, identifying risk factors for poor prognosis is a clinical priority [35]. The BACES score is used to predict 5-year mortality in NTM-PD patients. In this context, we analyzed the study group by age and sex, two components of the score, to investigate the clinical characteristics associated with these risk factors.

Individuals aged 65 and older showed a higher proportion of men, and a higher proportion of patients with BMI <18.5 kg/m2 (Table 3), indicative of a poorer NTM-PD prognosis. Given the anticipated worse outcomes in the older demographic [36], proactive treatment consideration is critical. Notably, treatment-related adverse events are commonly reported among NTM-PD patients [37], and those over 65 in our study also exhibited a higher prevalence of underlying respiratory (COPD, asthma, and interstitial lung disease) and non-respiratory (hypertension, diabetes, chronic kidney diseases, and chronic heart disease) conditions, necessitating vigilant monitoring for drug-related adverse events during treatment.

A few studies have reported sex-related differences in the clinical characteristics of NTM-PD [16,34,38,39]. Our study observed that men were diagnosed at an older age, and had a higher incidence of cavitary lesions. This aligns with data from Korea’s National Health Insurance Service, which also indicates a later diagnosis in men [3]. A Japanese study found a higher prevalence and incidence among women with younger age at diagnosis [34]. Possible explanations for these sex-related disparities include physiological processes influenced by estrogen, adipokines, and growth factor-β. Slender, older women may be more prone to NTM, due to a relative estrogen deficit, and abnormal expression of adipokines and transforming growth factor-β [40]. In addition, the incidence of NTM-PD tends to be higher in women who undergo hormone replacement therapy for longer periods, indicating the possible role of sex hormones in the development of NTM-PD [41]. Underlying respiratory conditions could be another explanation. A recent meta-analysis highlighted bronchiectasis as a significant risk factor for NTM-PD, followed by history of TB, interstitial lung disease, and COPD [42]. In our study, the prevalence of respiratory comorbidities differed by sex; bronchiectasis was more prevalent in women, whereas COPD and a history of TB were more frequent in men, mirroring findings from Japan [34]. The underlying mechanisms for sex-related differences in NTM-PD remain uncertain. To understand the sex-related differences in the clinical characteristics of NTM-PD, further research is warranted to investigate the nature of disease and host susceptibility, considering the complex interplay in NTM-PD development between environmental factors, host genetics, and microbial characteristics [43].

The strength of this study lies in its comprehensive analysis of NTM-PD severity, causative species, and radiologic presentations in Korea, providing vital clinical insights. However, several limitations should be considered. First, the included studies primarily involved patients from tertiary medical centers, which might introduce selection bias, due to these centers treating more severe cases. Second, it was not possible to aggregate all patient data from the reported literature, potentially limiting the representativeness of the Korean NTM-PD population in the study. Third, due to the absence of ESR data, the BACES score could not be calculated; therefore, the BACS score was alternatively used for indirect assessment of disease severity. Fourth, as data were requested from different institutions, there was a high rate of missing values for key variables (e.g., bronchiectasis). However, we chose not to impute the missing values for possible distortion; this could lead to an overestimation or underestimation of the characteristics of the actual patient population. Fifth, the risk of bias in individual studies was not assessed. Although we identified 136 studies from 21 institutions, data from only 18 primary articles across 11 institutions were synthesized, with cohort-wide data collected to prevent duplication from single institutions; this precluded an evaluation of individual study biases. In South Korea, the NTM research and patient cohorts were predominantly concentrated in a few institutions. Therefore, applying the analytic methods of conventional individual participants data meta-analysis, including publication bias or sensitivity analysis, was not feasible. Sixth, the patient information only reflects the characteristics of the patient group at the time of NTM-PD diagnosis, thus not accounting for changes in characteristics as the disease progresses. Lastly, while it was possible to minimize patient overlap within institutions, patients might overlap between institutions.

In conclusion, we analyzed the clinical characteristics of NTM-PD in South Korea, highlighting the variable impact of the disease across different ages and sexes, which may influence clinical outcomes. Ongoing research into these characteristics and their association with treatment responses is vital to developing targeted therapies and improving patient prognosis.

Notes

Authors’ Contributions

Conceptualization: Kang YA, Park Y. Methodology: Kang YA, Park Y. Formal analysis: all authors. Data curation: Kim S, Chang S, Park Y. Writing - original draft preparation: Lee G, Kim S. Writing - review and editing: all authors. Approval of final manuscript: all authors.

Conflicts of Interest

No potential conflict of interest relevant to this article was reported.

Funding

This research was supported by the Korea Disease Control and Prevention Agency research project (No.20211111777−00). The funding body had no role in the design of the study, or in the analysis or interpretation of data.

Supplementary Material

Supplementary material can be found in the journal homepage (http://www.e-trd.org).

Supplementary Table S1.

MEDLINE search terms and results.

trd-2023-0193-Supplementary-Table-1.pdf
Supplementary Table S2.

List of institutions and research information of the selected articles.

trd-2023-0193-Supplementary-Table-2.pdf
Supplementary Table S3.

Clinical characteristics of patients with nontuberculous mycobacterial pulmonary disease between healthcare facilities.

trd-2023-0193-Supplementary-Table-3.pdf
Supplementary Figure S1.

Proportions of elderly, women, and low body mass index (BMI) in patients with nontuberculous mycobacterial pulmonary disease by year of diagnosis.

trd-2023-0193-Supplementary-Fig-1.pdf
Supplementary Figure S2.

Causative species of nontuberculous mycobacterial pulmonary disease by year of diagnosis in men.

trd-2023-0193-Supplementary-Fig-2.pdf
Supplementary Figure S3.

Radiologic types of nontuberculous mycobacterial pulmonary disease by year of diagnosis in men.

trd-2023-0193-Supplementary-Fig-3.pdf
Supplementary Figure S4.

Causative species of nontuberculous mycobacterial pulmonary disease by year of diagnosis in women.

trd-2023-0193-Supplementary-Fig-4.pdf
Supplementary Figure S5.

Radiologic types of nontuberculous mycobacterial pulmonary disease by year of diagnosis in women.

trd-2023-0193-Supplementary-Fig-5.pdf

References

1. Jeon D. Infection source and epidemiology of nontuberculous mycobacterial lung disease. Tuberc Respir Dis (Seoul) 2019;82:94–101.
2. Ahn K, Kim YK, Hwang GY, Cho H, Uh Y. Continued upward trend in non-tuberculous mycobacteria isolation over 13 years in a tertiary care hospital in Korea. Yonsei Med J 2021;62:903–10.
3. Kim JY, Kwak N, Yim JJ. The rise in prevalence and related costs of nontuberculous mycobacterial diseases in South Korea, 2010-2021. Open Forum Infect Dis 2022;9:ofac649.
4. Kwon YS, Koh WJ, Daley CL. Treatment of Mycobacterium avium complex pulmonary disease. Tuberc Respir Dis (Seoul) 2019;82:15–26.
5. Ryu YJ, Koh WJ, Daley CL. Diagnosis and treatment of nontuberculous mycobacterial lung disease: clinicians’ perspectives. Tuberc Respir Dis (Seoul) 2016;79:74–84.
6. Griffith DE, Eagle G, Thomson R, Aksamit TR, Hasegawa N, Morimoto K, et al. Amikacin liposome inhalation suspension for treatment-refractory lung disease caused by Mycobacterium avium complex (CONVERT): a prospective, open-label, randomized study. Am J Respir Crit Care Med 2018;198:1559–69.
7. Kwak N, Park J, Kim E, Lee CH, Han SK, Yim JJ. Treatment outcomes of Mycobacterium avium complex lung disease: a systematic review and meta-analysis. Clin Infect Dis 2017;65:1077–84.
8. Kwak N, Dalcolmo MP, Daley CL, Eather G, Gayoso R, Hasegawa N, et al. Mycobacterium abscessus pulmonary disease: individual patient data meta-analysis. Eur Respir J 2019;54:1801991.
9. Wallace RJ Jr, Brown-Elliott BA, McNulty S, Philley JV, Killingley J, Wilson RW, et al. Macrolide/azalide therapy for nodular/bronchiectatic mycobacterium avium complex lung disease. Chest 2014;146:276–82.
10. Lee BY, Kim S, Hong Y, Lee SD, Kim WS, Kim DS, et al. Risk factors for recurrence after successful treatment of Mycobacterium avium complex lung disease. Antimicrob Agents Chemother 2015;59:2972–7.
11. Zo S, Kim H, Kwon OJ, Jhun BW. Antibiotic maintenance and redevelopment of nontuberculous mycobacteria pulmonary disease after treatment of Mycobacterium avium complex pulmonary disease. Microbiol Spectr 2022;10e0108822.
12. Hoefsloot W, van Ingen J, Andrejak C, Angeby K, Bauriaud R, Bemer P, et al. The geographic diversity of nontuberculous mycobacteria isolated from pulmonary samples: an NTM-NET collaborative study. Eur Respir J 2013;42:1604–13.
13. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021;372:n71.
14. Griffith DE, Aksamit T, Brown-Elliott BA, Catanzaro A, Daley C, Gordin F, et al. An official ATS/IDSA statement: diagnosis, treatment, and prevention of nontuberculous mycobacterial diseases. Am J Respir Crit Care Med 2007;175:367–416.
15. Kim HJ, Kwak N, Hong H, Kang N, Im Y, Jhun BW, et al. BACES score for predicting mortality in nontuberculous mycobacterial pulmonary disease. Am J Respir Crit Care Med 2021;203:230–6.
16. Park Y, Kim CY, Park MS, Kim YS, Chang J, Kang YA. Ageand sex-related characteristics of the increasing trend of nontuberculous mycobacteria pulmonary disease in a tertiary hospital in South Korea from 2006 to 2016. Korean J Intern Med 2020;35:1424–31.
17. Kim CH, Im KH, Yoo SS, Lee SY, Cha SI, Jung HY, et al. Comparison of the incidence between tuberculosis and nontuberculous mycobacterial disease after gastrectomy. Infection 2014;42:697–704.
18. Jeong JH, Heo M, Ju S, Lee SJ, Cho YJ, Jeong YY, et al. Pulmonary mycobacterial infection is associated with increased mortality in patients with acute respiratory distress syndrome. Medicine (Baltimore) 2021;100e26969.
19. Park SW, Song JW, Shim TS, Park MS, Lee HL, Uh ST, et al. Mycobacterial pulmonary infections in patients with idiopathic pulmonary fibrosis. J Korean Med Sci 2012;27:896–900.
20. Hong KS, Ahn JH, Choi EY, Jin HJ, Shin KC, Chung JH, et al. Microbiologic distribution and clinical features of nontuberculous mycobacteria in the tertiary hospital in Daegu. Yeungnam Univ J Med 2015;32:71–9.
21. Kim YK, Hahn S, Uh Y, Im DJ, Lim YL, Choi HK, et al. Comparable characteristics of tuberculous and non-tuberculous mycobacterial cavitary lung diseases. Int J Tuberc Lung Dis 2014;18:725–9.
22. Lee SH, Lee JH, Chang JH, Kim SJ, Yoon HY, Shim SS, et al. Hemoptysis requiring bronchial artery embolization in patients with nontuberculous mycobacterial lung disease. BMC Pulm Med 2019;19:117.
23. Kim EY, Chi SY, Oh IJ, Kim KS, Kim YI, Lim SC, et al. Treatment outcome of combination therapy including clarithromycin for Mycobacterium avium complex pulmonary disease. Korean J Intern Med 2011;26:54–9.
24. Hwang JA, Kim S, Jo KW, Shim TS. Natural history of Mycobacterium avium complex lung disease in untreated patients with stable course. Eur Respir J 2017;49:1600537.
25. Kwon BS, Lee JH, Koh Y, Kim WS, Song JW, Oh YM, et al. The natural history of non-cavitary nodular bronchiectatic Mycobacterium avium complex lung disease. Respir Med 2019;150:45–50.
26. Jo KW, Park YE, Chong YP, Shim TS. Spontaneous sputum conversion and reversion in Mycobacterium abscessus complex lung disease. PLoS One 2020;15e0232161.
27. Kwon YS, Kwon BS, Kim OH, Park YE, Shim TS, Chong YP, et al. Treatment outcomes after discontinuation of ethambutol due to adverse events in Mycobacterium avium complex lung disease. J Korean Med Sci 2020;35e59.
28. Han DW, Jo KW, Kim OH, Shim TS. Cavity formation and its predictors in noncavitary nodular bronchiectatic Mycobacterium avium complex pulmonary disease. Respir Med 2021;179:106340.
29. Moon SM, Jhun BW, Baek SY, Kim S, Jeon K, Ko RE, et al. Long-term natural history of non-cavitary nodular bronchiectatic nontuberculous mycobacterial pulmonary disease. Respir Med 2019;151:1–7.
30. Jhun BW, Moon SM, Jeon K, Kwon OJ, Yoo H, Carriere KC, et al. Prognostic factors associated with long-term mortality in 1445 patients with nontuberculous mycobacterial pulmonary disease: a 15-year follow-up study. Eur Respir J 2020;55:1900798.
31. Kim HJ, Lee JH, Yoon SH, Kim SA, Kim MS, Choi SM, et al. Nontuberculous mycobacterial pulmonary disease diagnosed by two methods: a prospective cohort study. BMC Infect Dis 2019;19:468.
32. Kwak N, Lee JH, Kim HJ, Kim SA, Yim JJ. New-onset nontuberculous mycobacterial pulmonary disease in bronchiectasis: tracking the clinical and radiographic changes. BMC Pulm Med 2020;20:293.
33. Gu KM, Kang HR, Park J, Kwak N, Yim JJ. Usefulness of post-bronchoscopy sputum culture for diagnosis of nontuberculous mycobacterial pulmonary disease. J Korean Med Sci 2021;36e202.
34. Izumi K, Morimoto K, Hasegawa N, Uchimura K, Kawatsu L, Ato M, et al. Epidemiology of adults and children treated for nontuberculous mycobacterial pulmonary disease in Japan. Ann Am Thorac Soc 2019;16:341–7.
35. Daley CL, Iaccarino JM, Lange C, Cambau E, Wallace RJ Jr, Andrejak C, et al. Treatment of nontuberculous mycobacterial pulmonary disease: an official ATS/ERS/ESCMID/IDSA clinical practice guideline. Clin Infect Dis 2020;71:e1–36.
36. Hwang H, Lee JK, Heo EY, Kim DK, Lee HW. The factors associated with mortality and progressive disease of nontuberculous mycobacterial lung disease: a systematic review and meta-analysis. Sci Rep 2023;13:7348.
37. Olivier KN, Griffith DE, Eagle G, McGinnis JP 2nd, Micioni L, Liu K, et al. Randomized trial of liposomal amikacin for inhalation in nontuberculous mycobacterial lung disease. Am J Respir Crit Care Med 2017;195:814–23.
38. Cadelis G, Ducrot R, Bourdin A, Rastogi N. Predictive factors for a one-year improvement in nontuberculous mycobacterial pulmonary disease: an 11-year retrospective and multicenter study. PLoS Negl Trop Dis 2017;11e0005841.
39. Holt MR, Kasperbauer SH, Koelsch TL, Daley CL. Similar characteristics of nontuberculous mycobacterial pulmonary disease in men and women. Eur Respir J 2019;54:1900252.
40. Chan ED, Iseman MD. Slender, older women appear to be more susceptible to nontuberculous mycobacterial lung disease. Gend Med 2010;7:5–18.
41. Choi H, Han K, Yang B, Shin DW, Sohn JW, Lee H. Female reproductive factors and incidence of nontuberculous mycobacterial pulmonary disease among postmenopausal women in Korea. Clin Infect Dis 2022;75:1397–404.
42. Loebinger MR, Quint JK, van der Laan R, Obradovic M, Chawla R, Kishore A, et al. Risk factors for nontuberculous mycobacterial pulmonary disease: a systematic literature review and meta-analysis. Chest 2023;164:1115–24.
43. Honda JR, Virdi R, Chan ED. Global environmental nontuberculous mycobacteria and their contemporaneous man-made and natural niches. Front Microbiol 2018;9:2029.

Article information Continued

Fig. 1.

Flowchart of article selection and individual participant data integration. IPD: individual participant data.

Fig. 2.

Reported numbers of patients with nontuberculous mycobacterial pulmonary disease by diagnosis year.

Fig. 3.

Proportions of causative species of nontuberculous mycobacterial pulmonary disease by year of diagnosis. Cochrane-Armitage trend test was used, p for trend >0.05.

Fig. 4.

Proportions of radiologic types of nontuberculous mycobacterial pulmonary disease by year diagnosis. Cochrane-Armitage trend test was used, p for trend >0.05. NB: nodular bronchiectatic.

Fig. 5.

Distribution of age at diagnosis for patients with nontuberculous mycobacterial pulmonary disease, by sex, from 2002 to 2019.

Table 1.

Summary of the 18 articles included for the analysis

Study Study design (cohort) Study period Species (number of patients) Treatment Clinical setting
Kim et al. (2014) [17] Retrospective 2003–2009 MAC (4), MAB (1), unknown (1) NA Single center
Jeong et al. (2021) [18] Retrospective 2014–2019 unknown (4) NA Single center
Park et al. (2012) [19] Retrospective 1992–2007 MAC (14), MAB (1), other (1) NA Multicenter
Hong et al. (2015) [20] Retrospective 2012–2013 MAC (123), MAB (20), other (45) NA Single center
Kim et al. (2014) [21] Retrospective 2006–2012 unknown (30) NA Single center
Lee et al. (2019) [22] Retrospective 2006–2016 MAC (123), MAB (40), other (20) NA Single center
Kim et al. (2011) [23] Retrospective 2005–2008 MAC (42) Yes Single center
Hwang et al. (2017) [24] Retrospective 1998–2011 MAC (420) Yes or No Single center
Kwon et al. (2019) [25] Retrospective 2000–2017 MAC (551) Yes or No Single center
Jo et al. (2020) [26] Retrospective 2012–2018 MAB (241) Yes or No Single center
Kwon et al. (2020) [27] Retrospective 2001–2014 MAC (362) Yes Single center
Han et al. (2021) [28] Retrospective 2002–2013 MAC (859) Yes or No Single center
Moon et al. (2019) [29] Prospective 2003–2013 MAC or MAB (1,021) Yes or No Single center
Jhun et al. (2020) [30] Prospective 1997–2013 MAC (1,142), MAB (303) Yes Single center
Kim et al. (2019) [31] Prospective 2017–2018 MAC (347) Yes Single center
Lee et al. (2020) [32] Prospective 2011–2019 MAC (25), MAB (2), other (4) Yes or No Single center
Gu et al. (2021) [33] Retrospective 2017–2020 MAC (45), MAB (6), other (3) No Single center
Park et al. (2020) [16] Retrospective 2006–2016 MAC (647), MAB (110), other (260) Yes or No Single center

MAC: Mycobacterium avium complex; MAB: Mycobacterium abscessus; NA: not available.

Table 2.

Clinical characteristics of patients with nontuberculous mycobacterial pulmonary disease

Characteristic Total (n=6,489) Men (n=2,741) Women (n=3,745) p-value
Age, yr (NA=8) 61.5±11.7 63.8±11.8 59.9±11.6 <0.001
Sex, women (NA=3) 3,745 (57.7)
Height, cm (NA=108) 161.1±8.0 165.2±7.9 158.2±6.8 <0.001
Weight, kg (NA=103) 53.8±9.6 56.8±10.3 51.7±8.4 <0.001
BMI, kg/m2 (NA=109) 20.7±3.0 20.7±3.1 20.6±2.9 0.192
BMI <18.5 kg/m2 (NA=109) 1,462 (22.9) 623 (23.1) 803 (21.8) 0.212
Ever smoker (NA=101) 1,829 (28.6) 1,405 (52.0) 423 (11.5) <0.001
History of tuberculosis (NA=22) 2,502 (38.7) 1,146 (42.0) 1,335 (36.3) <0.001
History of NTM treatment (NA=4) 767 (11.8) 331 (12.1) 436 (11.6) 0.591
Comorbidity
 Asthma (NA=3,353) 122 (3.9) 50 (3.5) 72 (4.2) 0.296
 Bronchiectasis (NA=1,558) 2,929 (59.4) 897 (46.9) 2,031 (67.4) <0.001
 COPD (NA=193) 658 (10.4) 401 (15.1) 256 (7.0) <0.001
 ILD (NA=1,528) 151 (3.0) 79 (3.7) 72 (2.5) 0.017
 Diabetes (NA=10) 656 (10.1) 365 (13.4) 290 (7.7) <0.001
 Hypertension (NA=3,596) 695 (24.0) 342 (25.2) 353 (23.0) 0.176
 CKD (NA=131) 129 (2.0) 65 (2.4) 64 (1.7) 0.056
 CHD (NA=133) 531 (8.4) 281 (10.5) 250 (6.8) <0.001
 CLD (NA=90) 401 (6.3) 200 (7.4) 201 (5.4) 0.001
 Transplantation (NA=235) 77 (1.2) 38 (1.4) 39 (1.1) 0.197
 Cancer (NA=10) 1,033 (15.9) 518 (19.0) 514 (13.7) <0.001
 Connective tissue disease (NA=53) 194 (3.0) 72 (2.7) 122 (3.3) 0.154
Smear positivity (NA=247) 2,969 (47.5) 1,464 (55.4) 1,505 (41.9) <0.001
Species (NA=56)
Mycobacterium avium 2,574 (41.4) 1,118 (41.2) 1,454 (39.1) 0.090
M. intracellulare 2,385 (38.4) 1,088 (40.1) 1,296 (34.8) <0.001
M. abscessus sub. abscessus 535 (8.6) 170 (6.3) 364 (9.8) <0.001
M. abscessus sub. massiliense 484 (7.8) 124 (4.6) 360 (9.7) <0.001
M. abscessus * 7 (0.1) 2 (0.1) 5 (0.1) 0.465
M. fortuitum 31 (0.5) 16 (0.6) 15 (0.4) 0.287
M. kansasii 130 (2.1) 93 (3.4) 37 (1.0) <0.001
 Mixed multi-species 223 (3.5) 66 (2.4) 147 (4.2) <0.001
Radiologic type (NA=1) <0.001
 Non-cavitary NB 4,185 (64.5) 1,458 (53.2) 2,727 (72.8) <0.001
 Cavitary NB 1,431 (22.0) 861 (31.4) 570 (15.2) <0.001
 Fibrocavitary 420 (6.5) 203 (7.4) 217 (5.8) 0.009
 Others 449 (6.9) 218 (8.0) 231 (6.2) 0.010
BACS score (NA=117) <0.001
 0 1,628 (25.5) 0 1,628 (44.2)
 1 2,007 (31.5) 637 (23.7) 1,370 (37.2)
 2 1,797 (28.3) 1,230 (45.7) 567 (15.4)
 3 763 (12.0) 645 (24.0) 118 (3.2)
 4 177 (2.8) 177 (6.6) 0

Values are presented as mean±standard deviation or number (%).

*

Subspecies not clarified.

Consolidation, single nodule, or indeterminate type.

BACS score is derived from the BACES score without erythrocyte sedimentation rate data.

NA: not available; BMI: body mass index; NTM: nontuberculous mycobacteria; COPD: chronic obstructive pulmonary disease; ILD: interstitial lung disease; CKD: chronic kidney disease; CHD: chronic heart disease; CLD: chronic liver disease; NB: nodular bronchiectatic.

Table 3.

Clinical characteristics of patients with nontuberculous mycobacterial pulmonary disease according to age

Characteristic Age <65 (n=3,752) Age ≥65 (n=2,729) p-value
Age, yr (NA=8) 53.7±8.1 72.4±5.4 <0.001
Sex, women (NA=3) 2,439 (65.0) 1,304 (47.8) <0.001
Height, cm (NA=108) 161.4±7.7 160.8±8.5 0.003
Weight, kg (NA=103) 54.3±9.2 53.2±10.1 <0.001
BMI, kg/m2 (NA=109) 20.8±2.8 20.5±3.2 0.002
BMI <18.5 kg/m2 (NA=109) 668 (18.6) 735 (27.4) <0.001
Ever smoker (NA=101) 761 (20.6) 1,064 (39.6) <0.001
History of tuberculosis (NA=22) 1,385 (37.0) 1,114 (40.8) 0.001
History of NTM treatment (NA=4) 443 (11.8) 321 (11.8) 0.982
Comorbidity
 Bronchiectasis (NA=1,558) 1,897 (63.9) 1,057 (52.9) <0.001
 ILD (NA=1,528) 41 (1.4) 108 (5.4) <0.001
 COPD (NA=193) 263 (7.2) 394 (15.0) <0.001
 Asthma (NA=3,353) 53 (3.2) 69 (4.7) 0.031
 Diabetes (NA=10) 228 (6.1) 428 (15.7) <0.001
 Hypertension (NA=3,596) 229 (14.9) 466 (34.3) <0.001
 CKD (NA=131) 36 (1.0) 92 (3.5) <0.001
 CHD (NA=133) 169 (4.6) 362 (13.6) <0.001
 CLD (NA=90) 235 (6.3) 166 (6.2) 0.857
 Transplantation (NA=235) 51 (1.4) 26 (1.0) 0.188
 Cancer (NA=10) 494 (13.2) 538 (19.8) <0.001
 Connective tissue disease (NA=53) 119 (3.2) 75 (2.8) 0.376
Smear positivity (NA=247) 1,673 (46.2) 1,293 (49.5) 0.001
Species (NA=56) <0.001
Mycobacterium avium 1,594 (42.7) 974 (36.2) <0.001
M. intracellulare 1,187 (31.8) 1,196 (44.4) <0.001
M. abscessus sub. abscessus 352 (9.4) 182 (6.8) <0.001
M. abscessus sub. massiliense 340 (9.1) 144 (5.3) <0.001
M. abscessus * 5 (0.1) 2 (0.1) 0.712
M. fortuitum 15 (0.4) 16 (0.6) 0.195
M. kansasii 90 (2.4) 40 (1.5) <0.001
 Others 35 (0.9) 33 (1.2) 0.171
 Mixed multi-species 118 (3.2) 105 (3.9) 0.050
Radiologic type (NA=1) <0.001
 Non-cavitary NB 2,491 (66.4) 1,692 (62.0) <0.001
 Cavitary NB 835 (22.3) 595 (21.8) <0.001
 Fibrocavitary 199 (5.3) 220 (8.1) <0.001
 Others 227 (6.1) 221 (8.1) <0.001
BACS score (NA=117) <0.001
 0 1,628 (44.1) 0
 1 1,280 (34.7) 727 (27.1)
 2 638 (17.3) 1,159 (43.2)
 3 145 (3.9) 618 (23.1)
 4 0 177 (6.6)

Values are presented as mean±standard deviation or number (%).

*

Subspecies not clarified.

Consolidation, single nodule, or indeterminate type.

BACS score is derived from the BACES score without erythrocyte sedimentation rate data.

NA: not available; BMI: body mass index; ILD: interstitial lung disease; COPD: chronic obstructive pulmonary disease; CKD: chronic kidney disease; CHD: chronic heart disease; CLD: chronic liver disease; NB: nodular bronchiectatic.