Literature DB >> 29724184

High mortality in patients with Mycobacterium avium complex lung disease: a systematic review.

Roland Diel1,2, Marc Lipman3, Wouter Hoefsloot4.   

Abstract

BACKGROUND: The incidence of nontuberculous mycobacterial (NTM) pulmonary disease caused by Mycobacterium avium complex (MAC) in apparently immune-competent people is increasing worldwide. We performed a systematic review of the published literature on five-year all-cause mortality in patients with MAC lung disease, and pooled the mortality rates to give an overall estimate of five-year mortality from these studies.
METHODS: We systematically reviewed the literature up to 1st August 2017 using PubMed® and ProQuest Dialog™ to search Medline® and Embase® databases, respectively. Eligible studies contained > 10 patients with MAC, and numerical five-year mortality data or a treatment evaluation for this patient group. Mortality data were extracted and analysed to determine a pooled estimate of all-cause mortality.
RESULTS: Fourteen of 1035 identified studies, comprising 17 data sets with data from a total of 9035 patients, were eligible. The pooled estimate of five-year all-cause mortality was 27% (95% CI 21.3-37.8%). A high degree of heterogeneity was observed (I2 = 96%). The mortality in the data sets varied between 10 and 48%. Studies predominantly including patients with cavitary disease or greater comorbidity reported a higher risk of death. Patients in Asian studies tended to have a lower mortality risk. Predictors of mortality consistent across studies included male sex, presence of comorbidities and advanced patient age.
CONCLUSIONS: Despite high heterogeneity, most studies in patients with MAC pulmonary disease document a five-year all-cause mortality exceeding 25%, indicating poor prognosis. These findings emphasise the need for more effective management and additional prospective mortality data collection.

Entities:  

Keywords:  Infectious disease; NTM; Nontuberculous mycobacteria; Survival outcome

Mesh:

Year:  2018        PMID: 29724184      PMCID: PMC5934808          DOI: 10.1186/s12879-018-3113-x

Source DB:  PubMed          Journal:  BMC Infect Dis        ISSN: 1471-2334            Impact factor:   3.090


Background

Nontuberculous mycobacteria (NTM) are ubiquitous environmental bacteria, present in soil and water sources [1]. NTM are thought of as opportunistic pathogens, with disseminated NTM disease being seen in patients with systemic impaired immunity (e.g. HIV) [2, 3]. Interest in NTM pulmonary disease (NTM-PD) is increasing due to its growing prevalence in non-HIV populations [2]. It can occur in the context of lung disease caused by, for example, bronchiectasis, chronic obstructive pulmonary disease (COPD) or cystic fibrosis (CF), and also in people with apparently normal lungs [2, 3]. NTM-PD symptoms are nonspecific and variable; patients may present with both respiratory and systemic complaints, which may relate to underlying lung disease [2]. NTM-PD usually manifests radiologically with fibrocavitary or nodular/bronchiectatic forms [2]. NTM-PD diagnosis is generally made when the American Thoracic Society/Infectious Diseases Society of America (ATS/IDSA) diagnostic criteria are met [2]. MAC is considered to be the most common cause of NTM-PD [4]. It comprises various mycobacterial species, including M. intracellulare, M. avium (which has four subspecies), and several other less frequently isolated species including M. chimaera [5, 6]. The decision to treat MAC infections depends on the patient’s health status and risk of disease progression. According to published recommendations, patients with nodular/bronchiectatic MAC disease should be offered a combination of macrolide (clarithromycin or azithromycin), rifampin or rifabutin, and ethambutol [2, 4]. In patients with fibrocavitary or severe nodular/bronchiectatic disease, addition of parenteral aminoglycosides may be considered [2]. Many are, however, refractory to first-line therapy and do not achieve sustained culture conversion [7]. Effective treatment choices for these people are few, essentially limited to intensification or modification of the first-line regimen or surgical resection of infected lung tissue [7]. MAC lung disease natural history and long-term outcomes are poorly documented, particularly at the population level [8]. A retrospective chart review of patients from Oregon, USA with respiratory NTM isolates found that the median time to death was 3.6 (range 0–7.7) years for cases meeting ATS/IDSA diagnostic criteria [2] and 3.7 (range 0.0–8.6) years for those who did not (p = 0.63). Here, 55% of the cases and 61% of the non-cases died during the follow-up period (2007–2014), with no statistically significant difference in five-year mortality between cases and non-cases [8]. A previous systematic review of reported treatment outcomes in patients with MAC lung disease, based on a pooled analysis of 28 studies carried out between 1977 and 2004, found overall mortality to be 17% (95% confidence interval [CI] 15–18%) [9]. However, this mainly included studies of short duration, and the calculated mortality rates did not account for different patient follow up-times within the studies [9]. Thus, it is not possible to draw firm conclusions regarding longer-term mortality from this report. Another recent systematic review sought to examine comorbidities, health-related quality of life and mortality associated with NTM disease in various patient populations [10]. Again, variable follow-up times in the included studies (30 days to over 10 years) limited the understanding of long-term mortality. Moreover, no differentiation was made between NTM-PD and NTM-non-PD, or different NTM species [10]. We therefore sought to systematically review the published literature for data on long-term mortality in patients with MAC lung disease, pool five-year mortality results to gain an estimate of overall five-year all-cause mortality in these patients, and explore study characteristics that may have contributed to variability in mortality reports or predict patient outcome.

Methods

Data sources

Database searches were carried out in Medline® and Embase®, using PubMed® and ProQuest Dialog™ search tools, respectively, with a cut-off of 1st August 2017, according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [11]. English language studies were selected. The search strategy applied to each database is described in the Additional file 1. Duplicates, case reports, nonclinical and animal studies were excluded, as were conference abstracts, newspaper articles, notes, news, biography, conference reviews, errata and lectures.

Study selection

Relevant studies were independently selected by two reviewing authors (WH and RD), who screened the article title and abstract initially, and then went on to review the article full text as needed. Studies were included if they reported five-year all-cause mortality in cohorts of patients with MAC lung disease, or NTM-PD cohorts where the majority of patients (≥75%) had MAC lung disease. No restrictions were made regarding study design, patient subpopulation, or data collection (prospective or retrospective). Studies with fewer than ten patients were excluded because of uncertainty about validity of the presented data and outcome in smaller studies.

Data extraction

The following data were extracted from the selected publications: five-year all-cause mortality, proportion of MAC-attributable deaths, factors predicting all-cause mortality, all-cause mortality in patients with fibrocavitary or nodular/bronchiectatic disease, and MAC-related mortality in patients with fibrocavitary or nodular/bronchiectatic disease.

Statistical analysis

Heterogeneity in reported mortality rates was quantified in terms of the Q- and I2-statistics. The Q-statistic is based on the chi-squared test and assesses deviation between individual study effect and the pooled effect across studies. A large Q-value relative to its degree of freedom provides evidence of heterogeneity of the measured outcome (variation in outcome estimates beyond chance). The I2-statistic describes the percentage of the variability in outcome estimates due to heterogeneity rather than sampling error (chance). Five-year mortality rates were pooled across the studies using a random-effects model. The analysis was performed using Review Manager (RevMan version 5.3. Copenhagen: The Nordic Cochrane Centre, The Cochrane Collaboration, 2014 software).

Results

Study selection and identified studies

The PubMed® search of Medline® returned 845 studies, and the ProQuest Dialog search (using Embase® and Medline® databases) returned 1311 studies. Following comparison of the results and de-duplication, 1035 publications remained. This selection was screened by title, abstract content and full text if needed. Following the exclusion criteria stated in the Methods section, 14 studies comprising 17 data sets with data from 9035 patients remained for analysis. A flowchart depicting this selection process is shown in Fig. 1.
Fig. 1

Flow chart describing the selection of studies and data sets included in the analysis.*Three of the identified publications contained data sets for two cohorts of patients, and these are considered separately here. MAC, Mycobacterium avium complex; NTM, nontuberculous mycobacterium

Flow chart describing the selection of studies and data sets included in the analysis.*Three of the identified publications contained data sets for two cohorts of patients, and these are considered separately here. MAC, Mycobacterium avium complex; NTM, nontuberculous mycobacterium The identified studies and their key characteristics are listed in Table 1 [12-25]. Among these 17 data sets, nine were retrospective medical chart review studies [12-19], five were retrospective population registry analyses [20-23] and three were from prospective, randomised studies [24, 25]. Three studies included data from two cohorts of patients with MAC lung disease, and these are considered separately for the purposes of this analysis [19, 23, 25]. The number of patients with MAC in the studies ranged from 45 to 5543. Two studies examined patients with other NTM infections (with the data for the MAC subgroup considered for this analysis) [20, 21], and one investigated nodular/bronchiectatic MAC lung disease [18]. Three studies focused on newly-diagnosed MAC lung disease [13, 14, 21]. Two of the included studies covered NTM-PD, however the majority of the patients in these studies were diagnosed with MAC lung disease [22, 23].
Table 1

Characteristics of the identified studies

Data setCountry and yearDiagnosisNAge (years)Female sex (%)NB (%)FC (%)NB + FC (%)Unknown, unclassified or other (%)TherapyFive-year mortality rate (%) (95% CI)
Retrospective medical chart reviews
1USA, 1973 [12]MAC lung diseaseb4549% > 500NR81.0 (multiple cavities in 50%)NR11.0 (unknown)1–3 drugs: 53%≥4 drugs: 47%Adjunctive surgical treatment: 42%Duration: 5 years40 (21.5–58.5)
2Japan, 2012 [13]Newly-diagnosed MAC lung disease63468.9 (mean) ± 11.4 (SD)58.582.911.53.32.3 (unclassified)First-line antibiotic therapy: 50.9%Duration > 3 months23.9 (20.1–27.7)
3Japan, 2012 [14]Newly diagnosed MAC lung disease7865.2 (mean) ± 12.6 (SD)60.359.0 (bronchiectatic)26.0NRNRVarious treatment regimens: 69%Untreated: 31%Duration NR25.6 (14.4–36.8)
4Japan, 2013 [15]Rheumatoid arthritis and MAC lung disease8267.6 (mean) ± 10.3 (SD)70.759.813.418.38.5(other)1 or 2 drug regimens,Treatment for rheumatic diseaseDuration > 3 months32.8 (20.4–45.2)
5Japan, 2014 [16]MAC lung disease30967.0 (mean) ± 13.7 (SD)64.7NRNRNRNRStandard 3-drug regimen including clarithromycin: 131 patients (42.4%)Duration > 6 months for 108 regimens.Pulmonary resection: 5.1%10.0 (6.8–13.1)
6UK, 2014 [17]Non-cystic fibrosis bronchiectasis and coexisting MAC infection5263.1 ± 12.769.2NRNRNRNRNR21 (8.5–33.5)
7Japan, 2015 [18]Nodular/ bronchiectatic MAC lung disease, based on HRCT of the chest78268.1 (mean) ± 11.1 (SD)68.5NR15.0NRNRFirst line antibiotic therapy, 1–5 drug regimen: 19.6%Duration > 3 months12.5 (10.0–15.0)
8Japan, 2017 [19],aMAC lung disease36872 (mean) ± 10 (SD)59.081.011.11.69.5165 treated patients; Clarithromycin + ethambutol + rifampicin (79.3%); other regimens (20.7%)23 (17.7–27.3)
9Japan, 2017 [19],aMAC lung disease11870 (mean) ± 10 (SD)5585.611.902.566 treated patients; Clarithromycin + ethambutol + rifampicin (79.3%); other regimens (20.7%)15 (7.8–21.6)
Retrospective population registry analyses
10Denmark, 2010 [20]Prevalent NTM-PD (MAC subgroup considered)42561.2 (mean) ± 16.5 (SD)41.0NRNRNRNRNR39.7 (33.7–45.7)
11Canada, 2017 [21]MAC lung disease554370 (median), IQR 50–7853.0NRNRNRNRNR33.3 (31.8–34.8)
12Japan, 2017 [22]NTM-PD§12560 (median) IQR 49–6666.0%NRNRNRNR≥3 drug regimen including clarithromycin 76%; 2 drug regimen including clarithromycin 2%; clarithromycin monotherapy 4%; non-clarithromycin regimen 5%16 (7.8–21.6)
13USA 2017 [23],aNTM-PD (meeting ATS/IDSA criteria) treated with pulmonary resection17866.1 (mean) ±14.6 (SD)60NRNRNRNR37 (27.6–45.4)
14USA, 2017 [23],aNTM-PD (not meeting ATS/IDSA criteria) treated with pulmonary resection13862.4 (mean) ±17.3 (SD)51NRNRNRNRNR33 (23.7–43.0)
Prospective, randomized studies
15UK and Scandinavia, 2002 [24]MAC lung disease7564 (mean)46.7NR61NRNRRifampicin +ethambutol ±isoniazidDuration: 2 years36.0 (22.4–49.6)
16UK, Denmark, Sweden and Italy, 2008 [25],aMAC lung disease8365 (mean)51.8NR69NRNRRifampicin +ethambutol+clarithromycin±immunotherapyDuration: 2 years48.0 (33.1–62.9)
17UK, Denmark, Sweden and Italy, 2008 [25],aMAC lung disease8765 (mean)49.4NR66NRNRRifampicin+ethambutol+ciprofloxacin±immunotherapyDuration: 2 years30.0 (18.5–41.5)

Studies are ordered within categories by year of publication

ATS/IDSA American Thoracic Society/Infectious Diseases Society of America, CI confidence interval, FC fibrocavitary disease, HRCT high resolution computed tomography, IQR interquartile range, MAC Mycobacterium avium complex, NB nodular/bronchiectatic disease, NR not reported, NTM nontuberculous mycobacterium, PD pulmonary disease, SD standard deviation

aMortality data were provided for two differently treated cohorts of patients with MAC lung disease. bPulmonary parenchymal disease by chest radiograph, sputum or bronchial wash containing M. intracellulare, physician’s opinion that M. intracellulare caused the disease. ‡Disease fulfilled 2007 ATS/IDSA criteria. [2] §This study included primarily patients with MAC lung disease (86%) [22]. ‖These data sets included primarily MAC lung disease patients (84% in full cohort, 89% of those meeting ATS/IDSA criteria [data set 13], 78% of those not meeting ATS/IDSA criteria [data set 14]) [23]. ¶Sputum culture positive for MAC on at least two occasions separated by at least a week, radiographic changes compatible with mycobacterial pulmonary disease, and/or clinical evidence of such disease

Characteristics of the identified studies Studies are ordered within categories by year of publication ATS/IDSA American Thoracic Society/Infectious Diseases Society of America, CI confidence interval, FC fibrocavitary disease, HRCT high resolution computed tomography, IQR interquartile range, MAC Mycobacterium avium complex, NB nodular/bronchiectatic disease, NR not reported, NTM nontuberculous mycobacterium, PD pulmonary disease, SD standard deviation aMortality data were provided for two differently treated cohorts of patients with MAC lung disease. bPulmonary parenchymal disease by chest radiograph, sputum or bronchial wash containing M. intracellulare, physician’s opinion that M. intracellulare caused the disease. ‡Disease fulfilled 2007 ATS/IDSA criteria. [2] §This study included primarily patients with MAC lung disease (86%) [22]. ‖These data sets included primarily MAC lung disease patients (84% in full cohort, 89% of those meeting ATS/IDSA criteria [data set 13], 78% of those not meeting ATS/IDSA criteria [data set 14]) [23]. ¶Sputum culture positive for MAC on at least two occasions separated by at least a week, radiographic changes compatible with mycobacterial pulmonary disease, and/or clinical evidence of such disease

Mortality rates in the identified studies

The five-year all-cause mortality data from each study, including the ranges and pooled estimate, are shown in Fig. 2a. The mortality in the studies ranged from 10.0% (95% CI 21.5–58.4%) to 48.0% (95% CI 33.1–62.9%). Pooling data from all 17 data sets using a random effects model, the overall estimate of five-year all-cause mortality was 27% (95% CI 21.3–33.0%). The I2 statistic was 96% and the Q-statistic was 365.1, indicating a high level of study heterogeneity. This is also demonstrated in a funnel plot of data from the selected studies (Fig. 2b).
Fig. 2

Analysis of five-year mortality in selected data sets. a Forest plot of five-year all-cause mortality rates in the identified data sets. Results are plotted ± 95% confidence interval (CI). b Funnel plot of five-year all-cause mortality versus standard error from selected data sets. BTS; The Research Committee of the British Thoracic Society

Analysis of five-year mortality in selected data sets. a Forest plot of five-year all-cause mortality rates in the identified data sets. Results are plotted ± 95% confidence interval (CI). b Funnel plot of five-year all-cause mortality versus standard error from selected data sets. BTS; The Research Committee of the British Thoracic Society

MAC-related and all-cause mortality

The proportion of all MAC-attributable deaths was reported by nine studies, and these data are shown in Fig. 3a. MAC-related five-year all-cause mortality varied between 5% [25] and 42% [16]. Predictors of all-cause mortality are listed in Table 2. Several factors appeared to be consistent across studies. These include male sex [13, 16, 18–21, 24], presence of comorbidities [13–17, 19–21, 23], and advanced patient age [13, 16, 18, 20–22, 24]. Predictors of better outcome include surgical treatment [12] and nodular or bronchiectatic disease [15].
Fig. 3

MAC-related five-year mortality and cavitary disease in selected data sets. a The proportion of all deaths related to MAC lung disease in the identified data sets. b Fibrocavitary disease and MAC-related five-year mortality. Black bars indicate fibrocavitary disease, grey bars indicate nodular/bronchiectatic disease. c Fibrocavitary disease and all-cause five-year mortality. Black bars indicate fibrocavitary disease, grey bars indicate nodular/bronchiectatic disease

Table 2

Predictors of mortality in the identified studies, if any

Data setNegative association with all-cause mortalityPositive association with all-cause mortalityReference
1Surgical treatmentYeager 1973 [12]
2Male sexAge ≥ 70 yearsPresence of systemic and/or respiratory comorbidityFC diseaseBMI < 18.5 kg/m2AnaemiaHypoalbuminemiaErythrocyte sedimentation rate ≥ 50 mm/hHayashi 2012 [13]
3High Charlson comorbidity indexPresence of FC lesionsMalignancyIto 2012 [14]
4NB diseaseFC diseaseFC + NB diseaseUsual interstitial pneumoniaEmphysemaOther lung diseaseYamakawa 2013 [15]
5Prior tuberculosis Bronchiectasis AsthmaMale sexOlder ageChronic obstructive pulmonary diseaseInterstitial lung diseaseLung cancerHIV infectionCystic fibrosisBone marrow transplantMorimoto 2014 [16]
6Chronic pulmonary aspergillosisCavitationEmphysemaZoumot 2014 [17]
7Male sexAge ≥ 70 yearsBMI < 18.5 kg/m2Absence of bloody sputum hypoalbuminaemiaErythrocyte sedimentation rate > 40 mm/hGochi 2015 [18]
8,9Male sexAge ≥ 70 yearsMalignancy, including lung cancerBMI < 18.5 kg/m2Lymphocyte count < 1000/μlFC diseaseKumagai 2017 [19]a
10Male sexAge ≥ 65 yearsHigh comorbidity levelPositive smearAndréjak 2010 [20]
11NTM-PD with multiple species of NTM isolatedMale sexIncreasing ageComorbid conditionsMarras 2017 [21]
12Older ageLow BMIPneumonectomyRemnant cavitary lesions following pulmonary resectionAsakura 2017 [22]a
13,14Lung cancerNovosad 2017 [23]a
15Increasing ageMale sexInvolvement of > 1 lung zoneLow initial body weightResearch Committee of the British Thoracic Society 2002 [24]
16,17Adding clarithromycin vs. ciprofloxacin to rifampicin and ethambutol therapy regimenJenkins 2008 [25]

BMI body mass index, FC fibrocavitary disease, HIV human immunodeficiency virus, NB nodular bronchiectatic disease, NTM nontuberculous mycobacteria, NTM-PD nontuberculous mycobacterial pulmonary disease

aFactors found to be significant by multivariate analysis are listed

MAC-related five-year mortality and cavitary disease in selected data sets. a The proportion of all deaths related to MAC lung disease in the identified data sets. b Fibrocavitary disease and MAC-related five-year mortality. Black bars indicate fibrocavitary disease, grey bars indicate nodular/bronchiectatic disease. c Fibrocavitary disease and all-cause five-year mortality. Black bars indicate fibrocavitary disease, grey bars indicate nodular/bronchiectatic disease Predictors of mortality in the identified studies, if any BMI body mass index, FC fibrocavitary disease, HIV human immunodeficiency virus, NB nodular bronchiectatic disease, NTM nontuberculous mycobacteria, NTM-PD nontuberculous mycobacterial pulmonary disease aFactors found to be significant by multivariate analysis are listed Two studies examined the relationship between nodular/bronchiectatic and fibrocavitary MAC lung disease and MAC-related mortality [13, 18]. Both found that patients with fibrocavitary disease had increased five-year MAC-related mortality compared with patients with nodular/bronchiectatic disease (Fig. 3b). One study also analysed the relationship between radiologic types of MAC lung disease and all-cause five-year mortality [13]. This demonstrated that patients with fibrocavitary disease have a substantially greater risk of death compared with nodular disease (Fig. 3c).

Effect of study region on five-year mortality

We performed a sensitivity analysis using the geographic region in which the selected studies were conducted (Additional file 1: Table S1). The analysis demonstrated that patients in Asian studies tended to have a lower five-year mortality (19, 95% CI 14–23%) compared with Europe (35, 95% CI 27–43%) and North America (33, 95% CI 32–35%).

Discussion

The studies identified in this systematic review show that, in general, patients with MAC lung disease are at a high risk of death following their diagnosis, with a pooled estimate of five-year all-cause mortality of 27%. In line with previous reports [9], we found there to be considerable heterogeneity between studies, with an I2 value of 96% and Q-statistic of 365.1. Several publications have demonstrated the incremental impact of NTM infection on patient mortality. Adjemian and colleagues found that US patients aged over 65 with NTM-PD within a nationally-representative sample were 40% more likely to die during the study period (1997–2007) than patients without NTM-PD [26]. Recent work from Ontario, Canada, also reported an increased mortality in patients with MAC lung disease compared with a matched control group (HR = 1.57, 95% CI 1.48–1.66, P < 0.0001) [21]. Here, the mortality was 33.3% in cases versus 21.5% in controls. Diel et al. identified an even greater mortality risk (HR 3.64, 95% CI 2.28–5.77) and a mortality after 39 months follow-up of 22.4% for NTM-PD patients versus 6.0% for control patients [27]. These studies indicate that NTM-PD increases mortality risk at a population level, independent of underlying comorbidities. Although predictors of mortality varied between studies, some common features were observed. A worse prognosis was noted with male sex, comorbidities (e.g. coexisting lung disease) and the presence of fibrocavitary disease. The latter was found to be associated with increased MAC-related mortality rate in two studies [13, 18], and in one, all-cause mortality [13]. This is in line with results from Fleshner and colleagues who identified fibrocavitary disease as a predictor of mortality in NTM-PD after controlling for possible confounders (adjusted hazard ratio [aHR] 3.3, 95% CI 1.3–8.3) [28]. Fleshner and colleagues also documented pulmonary hypertension as a risk factor for mortality (aHR 2.1, 95% CI 0.9–5.1), although this was not significant following adjustment for fibrocavitary disease; importantly, individual NTM species were not significantly associated with mortality, suggesting similar risks for each NTM species identified in the study [28]. Relatively few studies have explored differences in mortality between cases with confirmed ATS/IDSA disease criteria against those with NTM isolation only. From our list of identified studies, Marras and colleagues found that mortality rates were higher among patients from Ontario who fulfilled the ATS/IDSA disease criteria compared with those who had NTM isolation only (HR = 1.16, 95% CI 1.09–1.24) [21]. Similarly, five-year age-adjusted mortality rates were slightly higher for patients meeting (28.7/1000) versus not meeting (23.4/1000) ATS/IDSA criteria, respectively, in the report by Novosad identified in our analysis [23]. Andréjak and colleagues noted a similar prognosis in Danish patients with confirmed NTM-PD (57% of whom had MAC isolation) compared with those with NTM isolation only (HR 1.15, 95% CI 0.90–1.51) [20]. Thus, MAC lung disease fulfilling ATS/IDSA criteria is associated with a worse outcome. However, all patients with disease considered bad enough to be recorded by investigators, and hence included in studies, are at some increased risk of death. Furthermore, whereas all-cause mortality is an objective measure, the proportion of deaths attributed to MAC lung infection depends largely on how clinicians determine the cause of death. This may be unclear, particularly in long-term follow up studies where underlying comorbidities may progress; it a pertinent issue in MAC lung disease as many patients are elderly and often have a number of comorbidities [2, 29]. Thus, the impact of MAC lung disease on mortality at a population level is more appropriately reflected in studies using matched control groups. As shown above, the three studies where MAC lung disease cases were matched with appropriate controls consistently showed an increased risk of mortality for patients with NTM-PD or MAC-PD [21, 26, 27]. Our sensitivity analysis identified a lower mortality rate in Asian studies, particularly those from Japan. A similar trend has previously been observed [30]. This may be driven, in part, by the relatively high proportion of nodular/bronchiectatic disease in Japanese studies [15], which most reports suggest has a better outcome. The present study has several limitations. We were keen to include a range of studies reflecting the published literature and so did not use a complex set of stringent-pre-specified criteria. Thus, our analysis is influenced by the design of the selected studies. Specifically, only two prospective studies (including three data sets) are included in our analysis [24, 25]. This is challenging for the field as a whole, and further prospective studies of mortality in MAC-PD patients, which could support identification of additional prognostic factors, are warranted. Furthermore, we could not account for the potential effects of patient immunosuppression (e.g. HIV) or heterogeneity of treatment regimens between studies as the selected studies did not report outcomes for different subgroups. The studies we have identified cover a wide time period (1973–2017) and thus may be influenced by potential variability in NTM diagnosis and treatment over the 44 year period. A previous meta-analysis of treatment success rates in patients with MAC-PD and MAC-non-PD (the latter including disseminated disease) also found considerable treatment outcome heterogeneity for patients with MAC (I2 > 70%, p < 0.05 for all treatment outcomes) [9]. The authors suggested that this may be due to inconsistency among treatment protocols and in the reporting of key patient and study characteristics [9], preventing identification of clear factors related to treatment success. However, unlike our study, the authors did not distinguish between MAC-PD and MAC-non-PD. It is important to note that, as many reported studies are frequently based on population-level data (for example, [21]), they can contain limited clinical information. This inevitably means that one must be careful to not over-interpret their findings. Most of our selected studies do not explicitly identify patients with macrolide-resistant pulmonary disease. This is a concern, as recent work from Korea reported a five-year mortality of 47.1% (95% CI 24.0–70.1) in patients with macrolide-resistant MAC [31]. This is much higher than the pooled estimate from our analysis indicating that macrolide resistance increases mortality risk, and should be specifically identified in future studies.

Conclusions

In conclusion, our structured literature review has identified 17 data sets reporting five-year mortality in patients with NTM-PD caused by MAC. Most (i.e. ten) document a five-year mortality rate greater than 25% [12, 14, 15, 20, 21, 23–25], indicating a poor prognosis for patients with MAC lung disease and a need for more effective management of the condition. Substantial heterogeneity in study characteristics was found, with male sex, presence of cavitary disease and high comorbidity levels predicting worse survival outcomes. Further prospective studies using appropriately matched controls may contribute to a better understanding of long-term survival in MAC-related pulmonary disease. Search strategies. (DOCX 17 kb)
  31 in total

1.  Prevalence of nontuberculous mycobacterial lung disease in U.S. Medicare beneficiaries.

Authors:  Jennifer Adjemian; Kenneth N Olivier; Amy E Seitz; Steven M Holland; D Rebecca Prevots
Journal:  Am J Respir Crit Care Med       Date:  2012-02-03       Impact factor: 21.405

2.  Poor adherence to management guidelines in nontuberculous mycobacterial pulmonary diseases.

Authors:  Jakko van Ingen; Dirk Wagner; Jack Gallagher; Kozo Morimoto; Christoph Lange; Charles S Haworth; R Andres Floto; Jennifer Adjemian; D Rebecca Prevots; David E Griffith
Journal:  Eur Respir J       Date:  2017-02-15       Impact factor: 16.671

3.  Molecular identification of Mycobacterium avium subsp. silvaticum by duplex high-resolution melt analysis and subspecies-specific real-time PCR.

Authors:  Zsuzsanna Rónai; Ágnes Csivincsik; Ádám Dán
Journal:  J Clin Microbiol       Date:  2015-03-04       Impact factor: 5.948

4.  Predictors of 5-year mortality in pulmonary Mycobacterium avium-intracellulare complex disease.

Authors:  Y Ito; T Hirai; K Maekawa; K Fujita; S Imai; S Tatsumi; T Handa; H Matsumoto; S Muro; A Niimi; M Mishima
Journal:  Int J Tuberc Lung Dis       Date:  2012-01-05       Impact factor: 2.373

5.  Mortality after Respiratory Isolation of Nontuberculous Mycobacteria. A Comparison of Patients Who Did and Did Not Meet Disease Criteria.

Authors:  Shannon A Novosad; Emily Henkle; Sean Schafer; Katrina Hedberg; Jennifer Ku; Sarah A R Siegel; Dongseok Choi; Christopher G Slatore; Kevin L Winthrop
Journal:  Ann Am Thorac Soc       Date:  2017-07

6.  Prognostic factors and radiographic outcomes of nontuberculous mycobacterial lung disease in rheumatoid arthritis.

Authors:  Hideaki Yamakawa; Noboru Takayanagi; Yosuke Miyahara; Takashi Ishiguro; Tetsu Kanauchi; Toshiko Hoshi; Tsutomu Yanagisawa; Yutaka Sugita
Journal:  J Rheumatol       Date:  2013-04-15       Impact factor: 4.666

7.  A steady increase in nontuberculous mycobacteriosis mortality and estimated prevalence in Japan.

Authors:  Kozo Morimoto; Kazuro Iwai; Kazuhiro Uchimura; Masao Okumura; Takashi Yoshiyama; Kozo Yoshimori; Hideo Ogata; Atsuyuki Kurashima; Akihiko Gemma; Shoji Kudoh
Journal:  Ann Am Thorac Soc       Date:  2014-01

Review 8.  Treatment outcomes for Mycobacterium avium complex: a systematic review and meta-analysis.

Authors:  H-B Xu; R-H Jiang; L Li
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2013-08-25       Impact factor: 3.267

9.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

Authors:  David Moher; Alessandro Liberati; Jennifer Tetzlaff; Douglas G Altman
Journal:  BMJ       Date:  2009-07-21

10.  Retrospective study of the predictors of mortality and radiographic deterioration in 782 patients with nodular/bronchiectatic Mycobacterium avium complex lung disease.

Authors:  Mina Gochi; Noboru Takayanagi; Tetsu Kanauchi; Takashi Ishiguro; Tsutomu Yanagisawa; Yutaka Sugita
Journal:  BMJ Open       Date:  2015-08-05       Impact factor: 2.692

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  32 in total

1.  Delving into the Characteristic Features of "Menace" Mycobacterium tuberculosis Homologs: A Structural Dynamics and Proteomics Perspectives.

Authors:  Adeniyi T Adewumi; Pritika Ramharack; Opeyemi S Soremekun; Mahmoud E S Soliman
Journal:  Protein J       Date:  2020-04       Impact factor: 2.371

2.  Granulomatous Rhinitis in a Horse due to Mycobacterium intracellulare Infection.

Authors:  K J Vail; L W Stranahan; L M Richardson; A E Yanchik; C E Arnold; B F Porter; D J Wiener
Journal:  J Comp Pathol       Date:  2019-05-14       Impact factor: 1.311

3.  Amikacin liposome inhalation suspension clinical benefit-risk assessment for refractory Mycobacterium avium complex lung disease.

Authors:  Theodore K Marras; Mariam Hassan; Kevin C Mange; Monika Ciesielska; Shilpa Dhar Murthy; Zhanna Jumadilova; Anjan Chatterjee
Journal:  ERJ Open Res       Date:  2022-07-11

4.  Mortality association of nontuberculous mycobacterial infection requiring treatment in Taiwan: a population-based study.

Authors:  Hsin-Hua Chen; Ching-Heng Lin; Wen-Cheng Chao
Journal:  Ther Adv Respir Dis       Date:  2022 Jan-Dec       Impact factor: 5.158

5.  Preliminary Observations of Veterans Without HIV Who Have Mycobacterium avium Complex Pulmonary Disease.

Authors:  Christen L Vagts; Israel Rubinstein
Journal:  Fed Pract       Date:  2022-03-11

6.  Prosthetic joint infection due to Mycobacterium moriokaense in an immunocompetent patient after a total knee replacement.

Authors:  Joya Singh; Suresh J Antony
Journal:  Proc (Bayl Univ Med Cent)       Date:  2019-10-14

7.  Sputum smear-positive, Xpert® MTB/RIF-negative results: magnitude and treatment outcomes of patients in Myanmar.

Authors:  M H Phyu; K W Y Kyaw; Z Myint; A Thida; S Satyanarayana; S T Aung
Journal:  Public Health Action       Date:  2018-12-21

8.  The impact of bronchial artery embolisation on the quality of life of patients with haemoptysis: a prospective observational study.

Authors:  Naoki Omachi; Hideo Ishikawa; Masahiko Hara; Takashi Nishihara; Yu Yamaguchi; Yumiko Yamamoto; Mihoko Youmoto; Tomoaki Hattori; Kazushi Kitaguchi; Shota Yamamoto; Tomoya Kawaguchi; Masahiro Fukuzawa
Journal:  Eur Radiol       Date:  2021-01-06       Impact factor: 5.315

9.  Vaccination inducing durable and robust antigen-specific Th1/Th17 immune responses contributes to prophylactic protection against Mycobacterium avium infection but is ineffective as an adjunct to antibiotic treatment in chronic disease.

Authors:  Ju Mi Lee; Jiyun Park; Steven G Reed; Rhea N Coler; Jung Joo Hong; Lee-Han Kim; Wonsik Lee; Kee Woong Kwon; Sung Jae Shin
Journal:  Virulence       Date:  2022-12       Impact factor: 5.428

10.  Variability in the Management of Adults With Pulmonary Nontuberculous Mycobacterial Disease.

Authors:  Getahun Abate; Jack T Stapleton; Nadine Rouphael; Buddy Creech; Jason E Stout; Hana M El Sahly; Lisa Jackson; Francisco J Leyva; Kay M Tomashek; Melinda Tibbals; Nora Watson; Aaron Miller; Edward Charbek; Joan Siegner; Marcia Sokol-Anderson; Ravi Nayak; Greta Dahlberg; Pat Winokur; Ghina Alaaeddine; Nour Beydoun; Katherine Sokolow; Naomi Prashad Kown; Shanda Phillips; Arthur W Baker; Nicholas Turner; Emmanuel Walter; Elizabeth Guy; Sharon Frey
Journal:  Clin Infect Dis       Date:  2021-04-08       Impact factor: 20.999

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