Skip to main content

Epidemiology, clinical presentation, and predictors of outcome in nontuberculous mycobacterial central nervous system infection: a systematic review



CNS manifestations represent an emerging facet of NTM infection with significant mortality. Due to protean presentation and low index of suspicion, many cases are often treated erroneously as tubercular meningitis or fungal infections.


Literature on NTM CNS disease is scarce, with most available data on pulmonary disease. This systematic review aimed to evaluate the epidemiology, clinical presentation, diagnostic modalities, and predictors of outcome in CNS NTM infection.


The literature search was performed in major electronic databases (PubMed, Google Scholar, and Scopus) using keywords “CNS,” “Central nervous system,” “brain abscess,” “meningitis,” “spinal,” “Nontuberculous mycobacteria,” “NTM”. All cases of CNS NTM infection reported between January 1980 and December 2022 were included.


A total of 77 studies (112 cases) were included in the final analysis. The mean age of all patients was 38 years, with most patients male (62.5%). Mycobacterium avium complex (MAC) was the most common aetiology, followed by M. fortuitum and M. abscessus (34.8%, 21.4% and 15.2%, respectively). The disseminated disease was found in 33% of cases. HIV (33.9%) and neurosurgical hardware (22.3%) were the common risk factors. Intracranial abscess (36.6%) and leptomeningeal enhancement (28%) were the most prevalent findings in neuroimaging. The overall case fatality rate was 37.5%. On multivariate analysis, male gender (adjusted OR 2.4, 95% CI 1.2–7.9) and HIV (adjusted OR 3.7, 95% CI 1.8–6.1) were the independent predictors of mortality). M. fortuitum infection was significantly associated with increased survival (adjusted OR 0.18, 95% CI (0.08–0.45), p value 0.012).


Current evidence shows the emerging role of rapid-grower NTM in CNS disease. Male gender and HIV positivity were associated with significant mortality, while M fortuitum carries favourable outcomes.


Nontuberculous mycobacteria (NTM) are ubiquitous free-living organisms in the environment. Since the advent of modern microbiological methods, the importance of NTM infections is increasingly evident. Phenotypic methods are helpful in resource-limited settings. However, long turnaround time is the major limitation. This genus has more than 170 species, and the numbers are growing rapidly with the recent advancement in genotypic diagnostics (16S rRNA gene sequencing, metagenomics) [1, 2]. Mycobacterial 16S rRNA is a highly preserved nucleotide sequence; a 1% or more difference in this sequence can be labelled as a new NTM species [1, 3]. Short turnaround time and quick availability of drug susceptibility are the main advantages of genotypic methods. Traditionally considered an opportunistic infection (associated with HIV), NTM infections are increasingly recognized in immunocompetent patients due to improved diagnostic methods and other predisposing conditions, such as old pulmonary tuberculosis, cystic fibrosis and chronic obstructive pulmonary disease. The prevalence of NTM among HIV patients ranged from 1.3% to 27.3% compared to tuberculosis (ranging from 11.8% to 48.7%) [4]. Disruption of the IFN-γ/IL-12 axis in HIV patients is the main trigger for disseminated NTM infections. Toll-like receptors (TLRs) on macrophages sense mycobacteria and release cytokines (IL-12 and TNF-α); this stimulates IFN-γ production and Th1 cell differentiation in HIV patients and makes them vulnerable to NTM infections [5]. Compared to HIV, the incidence of NTM disease in the population is 3.1 to 4.7 per 100,000 person-years [6]. CNS infections by NTM are rarely described in the literature, with most cases associated with HIV and MAC infections [7]; however, rapidly growing mycobacteria are now getting more attention as an aetiology of CNS NTM disease [8]. Meningitis is the most commonly reported presentation in the literature, with a high mortality rate (up 77%) [7].

CNS infections associated with NTM are challenging to diagnose, with many patients erroneously treated with conventional antitubercular drugs. These drugs are partially effective in NTM disease, resulting in treatment failure with high morbidity and mortality [9]. Efflux pumps, porin channels, and polymorphism in the target genes are important mechanisms for intrinsic resistance of NTM for antitubercular drugs [9]. We conducted a systematic review of all reported cases with CNS NTM disease to gain new insight into these patients' clinical characteristics, aetiology, risk factors, treatment, and prognosis. There are no guidelines for CNS NTM infections, with most literature focused on pulmonary disease. We chose to select CNS cases for review, which have higher mortality and closely resembles tubercular and fungal CNS infections, which makes the diagnosis challenging. Our object was to generate evidence from the available literature that can contribute to subsequent studies and formulate treatment protocols for these patients. Moreover, it will help to aware clinicians of this uncommon presentation.


Protocol and registration

This systematic review is performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement (Additional file 1) [10] and is registered in the PROSPERO online database (PROSPERO Identifier: CRD42023405524).

Search strategy and information sources

We performed a systematic search of the literature to identify all the reported cases of CNS disease due to nontuberculous mycobacteria. The literature search was performed using different electronic databases of the English literature (PubMed/Medline, Google Scholar and Scopus). A manual search was also performed to identify the cases. The case reports and case series published between 1980 and 2022 were identified and retrieved. The literature published before 1980 was difficult to retrieve and lacked complete clinical information, henceforth excluded. The search terms (keywords) for this systematic review were: “CNS,” “Central nervous system,” “brain abscess,” “meningitis,” “spinal,” “nontuberculous mycobacteria” and “NTM” in different combinations (Additional file 1). Meningitis and brain abscess were the commonest CNS manifestations; hence these search terms were included.

Study selection (case definition and inclusion criteria)

We included 112 cases of CNS nontuberculous mycobacterial infection in this study. The cases fulfilling the following criteria were included in the final analysis: a). Cases with isolation of NTM from the culture of a sterile site (CSF, abscess, or tissue sample), compatible with the clinical–radiological syndrome (CNS disease) or b). Identification of NTM species by molecular methods (e.g., PCR or next-generation sequencing) with a compatible clinical–radiological syndrome. Disseminated infections with isolation of NTM from pulmonary samples were also included. Reports with culture-positive NTM without evidence of clinical CNS disease were excluded. Both pediatric and adult cases were included. Data regarding clinical presentation, diagnostic modalities, treatment and outcomes were documented. Treatment of NTM infections is usually prolonged (around 12 months after culture conversion, depending on the patient's immune status); thus, only cases with a follow-up of a minimum of 2 months were analyzed for the outcome. It takes several weeks to achieve antibiotics response in NTM; a 2-month follow-up was chosen after the consensus with all the reviewers. Abstracts, editorials, review articles, conference papers and posters were excluded. Cases with solid organ or stem cell transplant recipients, patients on corticosteroids (≥ 10 mg/day for at least 4 weeks) or treated with long-term immunosuppressants were defined as immunocompromised. Disseminated NTM disease was defined as a case of CNS disease along with the evidence of NTM isolation from blood (NTM bacteremia) or involvement of 2 or more non-contiguous organs such as CNS with involvement of the lung, bone marrow, abdomen or lymph nodes.

Data extraction and qualitative assessment

Two investigators (DSM and DK) independently extracted the clinical details from the selected cases. The online software for systematic review (Covidence systematic review software, Veritas Health Innovation, Melbourne, Australia) was used to extract the data. The following data were extracted: clinical presentation, presence of risk factors, diagnostic procedures, antibiotic therapy and outcome with follow-up. The disparity between the authors was resolved by the discussion and consensus with the other reviewer authors (VM, VT, GKB). Case reports are associated with inherent bias; to decrease this, we adopted the standardized critical appraisal tool proposed by the Joanna Briggs Institute (JBI) [11]. Each study was assessed based on the availability of data (clinical presentation, diagnosis, treatment, adverse events, and takeaway message) and rated with the probability of bias (Low risk = ≥ 7 yes; Moderate risk = 5–6 yes; High risk = ≤ 4 yes). We have attached the JBI critical appraisal checklist in the Additional file 1.

Statistical analysis

The SPSS software version 20.0 (IBM Corp, Armonk, NY) was used for data analysis. Descriptive data were compiled and tabulated with continuous variables in the form of mean ± standard deviation, median (with interquartile range), and categorical variables in the form of a number (percentages). Pearson’s Chi-square test was used to analyse the difference between categorical variables. Univariate regression analysis was used to identify the predictors of mortality. The variables with significant correlation (p value ≤ 0.05) were further selected for multivariable regression analysis. The results were expressed as an odds ratio with a relative 95% confidence interval and p value. A p value < 0.05 was considered to indicate statistical significance.


A total of 898 case records were identified from the initial literature search. Three hundred nine studies were further assessed after excluding duplicate case records. After removing ineligible cases, 112 patients (77 studies) with CNS NTM infection were included and analysed in this review (Fig. 1). 71 records out of 112 were individual data, and the remaining 41 patients were from case series (8 studies). The references of all the cases included in this systematic review are provided in the Additional file 1.

Fig. 1
figure 1

Flow chart of articles selection according to PRISMA guideline

Patients’ demographic characteristics

The mean age of the patients was 38.2 ± 17.8 years (Table 1). Sixteen patients (14.3%) were from the pediatric age group (< 18 years), while 96 patients (85.7%) were adults. The proportion of male patients was 62.5%. Most cases of CNS NTM disease were reported from the USA (50.9%), followed by Asia (34.8%) and Europe (12.5%). Notwithstanding, it may not be an accurate representation due to the large population of South Asia and the high burden of pulmonary NTM infections. The fewer cases from this region indicate a lack of diagnostics and awareness about CNS manifestations of NTM infection.

Table 1 Clinical and demographic characteristics of patients with CNS NTM infection

Etiology and epidemiological trend

We have categorized all CNS NTM cases based on the type of NTM species isolated from CSF or other sterile tissue, which is described in Table 2. Rapid-growing NTM (RGM) were isolated from 54.5% of the cases (61 cases), and slow-growing NTM (SGM) from 45.5% (n = 51) cases. Overall, MAC was the most common cause of CNS infections (34.8%, n = 39), followed by M. fortuitum (21.4%, n = 24) and M. abscessus (15.2%, n = 17). Notwithstanding, M. fortuitum was the most common aetiology of NTM CNS disease (75%) in the pediatric population. We have also analyzed the epidemiological trend of NTM CNS disease over the past 42 years (1980 to 2022); MAC was the commonest isolate in cases reported from 1980 to 2000 (69.23%, 18 cases out of 26), though it was found in only 24.4% (21 out of 86) of the cases reported from 2000 to 2022. Conversely, the RGM were the major isolate in the past 20 years (65%) responsible for CNS infections.

Table 2 Distribution of various NTM species causing CNS manifestations

Clinical features and risk factors

Fever was the most predominant presenting symptom, followed by headache and altered mental state (58.9%, 35.7% and 29.5%, respectively) (Table 3). Among neurological deficits, cranial nerve involvement was seen in 6 patients (6.9%). The abducens nerve was the most commonly involved nerve (4 out of 6 patients), with third, fourth, fifth and seventh other cranial nerves affected. In 33% of the patients, CNS involvement was part of disseminated NTM disease. Cavitary/nodular lung disease, endocarditis, cutaneous disease, lymphadenitis, bone-marrow infiltration, and osteomyelitis were other manifestations in these patients. NTM bacteremia was present in four cases (2 of these patients were HIV positive) [12,13,14,15]. HIV was the most common risk factor for NTM, followed by neurosurgical implant and corticosteroid use (Table 3). No risk factor for NTM was found in 25% (n = 28) of the patients.

Table 3 Clinical presentation, comorbidities and risk factors in patients with CNS NTM infection

Laboratory diagnosis (radiological features and CSF findings)

Isolation of NTM from culture is the gold standard for establishing the diagnosis. Molecular methods are now being used frequently for diagnosis and species differentiation. In this review, 26 patients were diagnosed by PCR-based tests. Gene sequencing was used in 16 patients for species detection (16S rRNA was the most common gene sequenced, followed by rpoB and the hsp65 gene.) We have summarised all cases diagnosed with gene sequencing along with drug susceptibility results in Table 4 [16,17,18,19,20,21,22,23,24,25,26,27,28,29,30]. We also retrieved the neuroimaging findings (CT/MRI) in 82 patients. Single or multiple space-occupying lesion (mass, abscess or ring-enhancing lesion) was the most common radiological finding, closely followed by leptomeningeal enhancement (36.6% and 28%, respectively). Other common imaging findings are described in Table 5. Data regarding CSF analysis was available in 68 patients. CSF AFB smear was positive in only 26 (38.2%) patients. Interestingly, neutrophilic pleocytosis was present in nearly 40% of the cases.

Table 4 Summary of the drug resistant 16S rRNA, rpoB and hsp65 genes by type of NTM strain from reviewed papers
Table 5 Neuroimaging and CSF findings in patients with nontuberculous mycobacterium infection

Treatment and outcome

Treatment of nontuberculous mycobacterial infection warrants long-term antimicrobial therapy. The median duration of treatment was 16 months in this study. Antimicrobial susceptibility is vital for treatment initiation, though DST (drug-susceptibility testing) was performed in only 41 patients. Macrolide resistance was seen in seven patients (17.07%). Mycobacterium fortuitum was the most common isolate in these seven patients (4 out of 7). The other three resistant isolates were M. abscessusM. gooddi and M. bolletii. Quinolones (ciprofloxacin, levofloxacin, moxifloxacin) were found to be resistant in 8 cases (19.51%), and the most common resistant isolate was M. abscessus (5 out of 8). Intrathecal amikacin was used for treatment in 8 patients with M. abscessus CNS disease; 3 of them died during treatment, with a mortality rate of 37.5%. Corticosteroids are an integral part of tubercular meningitis management, notwithstanding that only 8 out of 112 patients with NTM CNS infection received corticosteroids; 4 of them died during treatment.

The overall mortality rate was 37.5% in CNS NTM infections. We also analysed the different predictors of mortality in CNS NTM infection. All patients were divided into survived and non-survived groups. Table 6 describes the comparison of both groups for various predictors of mortality. In univariate regression analysis, advanced age, HIV, Male gender, disseminated disease, M. fortuitum, and high CSF protein were the important determinants of outcome. After adjusting the covariates (age, comorbidities), male gender and HIV positivity were found to be the independent predictors of mortality (Table 6). In addition, M. fortuitum infection was the independent predictor of survival (adjusted OR 0.18, 95% CI 0.08–0.45, p value 0.012) with only a 4.1% mortality rate.

Table 6 Clinical predictors associated with mortality in patients with CNS NTM infection


Mycobacteria other than Mycobacterium tuberculosis complex and Mycobacterium laprae are defined as nontuberculous mycobacteria (NTM). Once considered a neglected disease, NTM is now acknowledged as an emerging pathogen that can cause a wide array of infections. In 1959, Runyon first classified NTM into four groups (photochromogens (SGM), Scotochromogens (SGM), nonphotochromogens (SGM), and RGM) based on their growth rate, morphology and pigmentation in the presence of light [31]. The incidence and prevalence of NTM disease are increasing with the advancement of laboratory diagnostic methods (molecular diagnosis, especially metagenomics) and the growing awareness among clinicians. The ageing population, use of immunosuppressants and multiple comorbidities are other factors attributing to increasing NTM infections [32].

According to a recent report, the incidence and prevalence rates of NTM disease were 17.9 and 33.3 per 100,000 population [33]. NTM is not considered a notifiable disease, resulting in under-reporting. Data are lacking regarding the precise incidence of CNS NTM disease. Most studies discussed pulmonary involvement, and some reported extrapulmonary manifestations, which involve skin, lymph nodes and bones [34, 35]. We performed a systematic review of all cases of NTM causing CNS disease; to our knowledge, this is one of the most extensive systematic review of CNS cases in the literature. Some reports include only rapidly growing NTM or MAC infections [7, 36]. A review by Flor et al. in 1996 included patients with NTM meningitis [7]; contrary to that, this study included cases with all sorts of CNS manifestations. Interestingly we found some rare findings such as cerebral thrombophlebitis and myelitis due to NTM. Previous reviews also included probable or doubtful cases, where a concomitant organism was isolated from CSF or lacked clinical features corresponding to the isolated organism [7]. Our review analysed only cases with clinical or biochemical evidence of meningitis with NTM identification by culture or molecular diagnosis.

This review found 112 cases of CNS NTM infection in the literature. We found MAC as the most common NTM species causing CNS disease in cases reported between 1980 and 2000. At the same time, the proportion of RGM has been increasing in the last two decades (from 23% in 1980–2000 to 65% in 2001–2022). Flor et al. [7] described MAC as the leading cause of CNS disease (62% incidence); however, MAC was isolated in only 34% of cases in the current review. The possible explanation for the decrease in MAC incidence is the introduction of highly active antiretroviral therapy in HIV patients [37], since MAC infections are commonly associated with HIV (67.5% in this systematic review). In advanced HIV disease, there is a decrease in TNF-alpha production along with defective/absent IFN Gamma receptors, which are the precipitating factors for MAC infections [37, 38]. This is further substantiated by a study by Winthrop et al., which reported the high incidence of MAC disease (50%) in patients receiving anti-TNF-α therapy [38].

Diagnosing NTM infections remains challenging due to its protean presentation and low index of suspicion. Radiological findings are non-specific and difficult to differentiate from tubercular and fungal CNS infections, such as neuroaspergillosis [39]. Brain abscess is a common finding that is single and supratentorial in most cases [40]. Culture remains the gold standard for final diagnosis [41, 42]. Metagenomic next-generation sequencing is now emerging as a rapid and effective tool for diagnosing NTM [30, 43]. The treatment of extrapulmonary NTM disease is not well-defined, particularly in CNS disease, where the management depends upon anecdotal evidence in the form of case reports or expert opinion. Antibiotic selection is largely based on the type of species and drug susceptibility test. The first-line antitubercular drugs have no activity against RGM. Amikacin, clarithromycin, imipenem and Quinolones are used in various combinations (minimum 3–4 drugs, preferably with good CNS penetration) [43, 44]. Cotrimoxazole could be an important drug in the maintenance phase due to its good CNS penetration. The optimal duration of therapy is not standardized, though a minimum of 12 months after culture conversion is a must [45]. Poor compliance, adverse events and drug resistance are the major deterrents during prolonged therapy. Especially macrolides resistance is a paramount concern; 17% of NTM isolates were found clarithromycin resistant in this review (mostly related to M. fortuitum). Previous reports also showed poor susceptibility of macrolides for M. fortuitum [46, 47]. There is a poor correlation between in-vitro susceptibility and a clinical response due to inducible macrolide resistance owing to the expression of the erythromycin ribosomal methyltransferase gene (erm 41) in RGM [48, 49]. Extended incubation (> 7 days) is required to detect this inducible macrolide resistance in RGM [50].

Corticosteroids are fundamental for tubercular meningitis treatment. However, no concrete evidence favours their use in CNS NTM infections. Theoretically, steroids can reduce inflammation and neurological sequelae. However, concern remains due to the possibility of increased dissemination of disease. The mortality rate in this review was lesser compared to preview reports (37.5% vs 77%). A high proportion of HIV and MAC coinfection could be the cause of this disparity [7]. In this review, three out of eight patients recovered with steroids [8, 12, 17]. One of these had MAC associated immune reconstitution inflammatory syndrome (IRIS) [12]. We also analyzed the various prognostic factors in CNS disease. Male gender and HIV infection were associated with increased mortality, whereas patients with M fortuitum had better survival than other species. Earlier literature also reported similar prognostic factors for pulmonary disease. However, a low mortality rate compared to CNS disease (12% vs 38%) [51]. This study identified high CSF protein as a risk factor for poor outcomes, similar to previous studies for tubercular meningitis [52, 53]. High CSF protein is an indicator of blood–brain barrier dysfunction and high immunogenicity. Whether using corticosteroids in such settings might be fruitful is a matter of further research.

This systematic review has a few significant limitations. Case reports had publication bias; furthermore, the retrospective nature of data and heterogenous patient population limit its general applicability. The information about drug susceptibility, drug adverse events, and long-term follow-up was also missing from the literature.


Nontuberculous mycobacteria are an important, nonetheless underdiagnosed CNS infection with a significant mortality rate. In this report, we found RGM as an emerging cause of NTM CNS disease. Molecular diagnostics is imperative for species identification, drug susceptibility and optimal antibiotic therapy. The duration of antibiotic therapy and the role of corticosteroids are still unanswered that require further studies.

Availability of data and materials

The data sets used and/or analysed during the current study available from the corresponding author on reasonable request.



Non-tuberculous mycobacteria


Mycobacterium avium Complex


Preferred Reporting Items for Systematic Reviews and Meta-Analyses


Joanna Briggs Institute


Rapid-growing NTM


Slow-growing NTM


Drug-susceptibility testing


Immune reconstitution inflammatory syndrome


  1. Tortoli E. Impact of genotypic studies on mycobacterial taxonomy: the new mycobacteria of the 1990s. Clin Microbiol Rev. 2003;16:319–54.

    CAS  PubMed  PubMed Central  Google Scholar 

  2. Forbes BA. Mycobacterial taxonomy. J Clin Microbiol. 2017;55:380–3.

    PubMed  PubMed Central  Google Scholar 

  3. McNabb A, Eisler D, Adie K, Amos M, Rodrigues M, Stephens G, et al. Assessment of partial sequencing of the 65-kilodalton heat shock protein gene (hsp65) for routine identification of Mycobacterium species isolated from clinical sources. J Clin Microbiol. 2004;42:3000–11.

    CAS  PubMed  PubMed Central  Google Scholar 

  4. Chiang CH, Tang PU, Lee GH, Chiang TH, Chiang CH, Ma KS, et al. Prevalence of nontuberculous Mycobacterium infections versus tuberculosis among autopsied HIV patients in Sub-Saharan Africa: a systematic review and meta-analysis. Am J Trop Med Hyg. 2020;104:628–33.

    PubMed  PubMed Central  Google Scholar 

  5. Matsuyama M, Matsumura S, Nonaka M, Nakajima M, Sakai C, Arai N, et al. Pathophysiology of pulmonary nontuberculous mycobacterial (NTM) disease. Respir Investig. 2023;61:135–48.

    CAS  PubMed  Google Scholar 

  6. Winthrop KL, Marras TK, Adjemian J, Zhang H, Wang P, Zhang Q. Incidence and prevalence of nontuberculous Mycobacterial Lung Disease in a Large U.S. Managed Care Health Plan, 2008–2015. Ann Am Thorac Soc. 2020;17:178–85.

    PubMed  PubMed Central  Google Scholar 

  7. Flor A, Capdevila JA, Martin N, Gavaldà J, Pahissa A. Nontuberculous mycobacterial meningitis: report of two cases and review. Clin Infect Dis. 1996;23:1266–73.

    CAS  PubMed  Google Scholar 

  8. Talati NJ, Rouphael N, Kuppalli K, Franco-Paredes C. Spectrum of CNS disease caused by rapidly growing mycobacteria. Lancet Infect Dis. 2008;8:390–8.

    PubMed  Google Scholar 

  9. Wu ML, Aziz DB, Dartois V, Dick T. NTM drug discovery: status, gaps and the way forward. Drug Discov Today. 2018;23:1502–19.

    PubMed  PubMed Central  Google Scholar 

  10. Moher D, Liberati A, Tetzlaff J, Altman DG, PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6:e1000097.

    PubMed  PubMed Central  Google Scholar 

  11. Moola S, Munn Z, Tufanaru C, Aromataris E, Sears K, Sfetcu R, et al. Chapter 7: Systematic reviews of etiology and risk. In: Aromataris E, Munn Z (Editors). JBI Manual for Evidence Synthesis. JBI, 2020.

  12. Lee YC, Lu CL, Lai CC, Tseng YT, Sun HY, Hung CC. Mycobacterium avium complex infection-related immune reconstitution inflammatory syndrome of the central nervous system in an HIV-infected patient: case report and review. J Microbiol Immunol Infect. 2013;46:68–72.

    PubMed  Google Scholar 

  13. Baidya A, Tripathi M, Pandey P, Singh UB. Mycobacterium abscessus as a cause of chronic meningitis: a rare clinical entity. Am J Med Sci. 2016;351:437–9.

    PubMed  Google Scholar 

  14. Nookeu P, Angkasekwinai N, Foongladda S, Phoompoung P. Clinical characteristics and treatment outcomes for patients infected with Mycobacterium haemophilum. Emerg Infect Dis. 2019;25:1648–52.

    PubMed  PubMed Central  Google Scholar 

  15. Abu-Ghname A, Davis MJ, Davies LW, Whitehead WE, Buchanan EP. Pediatric ventriculoperitoneal shunt infection: the role of shunt tract debridement in Mycobacterium abscessus eradication. J Craniofac Surg. 2020;31:278–82.

    PubMed  Google Scholar 

  16. Adékambi T, Foucault C, La Scola B, Drancourt M. Report of two fatal cases of Mycobacterium mucogenicum central nervous system infection in immunocompetent patients. J Clin Microbiol. 2006;44(3):837–40.

    PubMed  PubMed Central  Google Scholar 

  17. Salmanzadeh S, Honarvar N, Goodarzi H, Khosravi AD, Nashibi R, Serajian AA, et al. Chronic mycobacterial meningitis due to Mycobacterium chelonae: a case report. Int J Infect Dis. 2014;27:67–9.

    PubMed  Google Scholar 

  18. Salas NM, Klein N. Mycobacterium goodii: an emerging nosocomial pathogen: a case report and review of the literature. Infect Dis Clin Pract (Baltim Md). 2017;25:62–5.

    PubMed  Google Scholar 

  19. Greninger AL, Langelier C, Cunningham G, Keh C, Melgar M, Chiu CY, et al. Two rapidly growing mycobacterial species isolated from a brain abscess: first whole-genome sequences of Mycobacterium immunogenum and Mycobacterium llatzerense. J Clin Microbiol. 2015;53:2374–7.

    CAS  PubMed  PubMed Central  Google Scholar 

  20. Leskinen S, Flowers X, Thoene K, Uhlemann AC, Goldman JE, Hickman RA. Meningomyeloencephalitis secondary to Mycobacterium haemophilum infection in AIDS. Acta Neuropathol Commun. 2020;8:73.

    CAS  PubMed  PubMed Central  Google Scholar 

  21. Moritz DC, Harrington AT, Slavin K, Gomez C, Jarrett OD. Deep brain stimulator infection by a novel rapid growing mycobacterium. Acta Neurochir (Wien). 2017;159:2239–41.

    PubMed  Google Scholar 

  22. Marie I, Héron F, Lecomte F, Jarlier V, Truffot-Pernot C, Laquerriere A, et al. Multiple cerebral abscesses as a complication of Mycobacterium fortuitum infection. Eur J Intern Med. 2003;14:386–9.

    PubMed  Google Scholar 

  23. Giovannenze F, Stifano V, Scoppettuolo G, Damiano F, Pallavicini F, Delogu G, et al. Incidental intraoperative diagnosis of Mycobacterium abscessus meningeal infection: a case report and review of the literature. Infection. 2018;46:591–7.

    CAS  PubMed  Google Scholar 

  24. Buppajarntham A, Apisarnthanarak A, Rutjanawech S, Khawcharoenporn T. Central nervous system infection due to Mycobacterium haemophilum in a patient with acquired immunodeficiency syndrome. Int J STD AIDS. 2015;26:288–90.

    PubMed  Google Scholar 

  25. Uche CS, Silibovsky R, Jungkind D, Measley R. Ventriculoperitoneal shunt-associated Mycobacterium goodii infection. Infect Dis Clin Pract. 2008;16:129–30.

    Google Scholar 

  26. Kon S, Franco-Paredes C, Hawkins KL. Intramedullary spinal cord lesions in an immunocompromised host due to Mycobacterium haemophilum. IDCases. 2019;19: e00674.

    PubMed  PubMed Central  Google Scholar 

  27. Phowthongkum P, Puengchitprapai A, Udomsantisook N, Tumwasorn S, Suankratay C. Spindle cell pseudotumor of the brain associated with Mycobacterium haemophilum and Mycobacterium simiae mixed infection in a patient with AIDS: the first case report. Int J Infect Dis. 2008;12:421–4.

    PubMed  Google Scholar 

  28. Colomba C, Rubino R, Di Carlo P, Mammina C, Bonura C, Siracusa L, et al. Probable disseminated Mycobacterium abscessus subspecies bolletii infection in a patient with idiopathic CD4+ T lymphocytopenia: a case report. J Med Case Rep. 2012;6:277.

    PubMed  PubMed Central  Google Scholar 

  29. Sariol CA, Galib Y, Pantoja P, Colón L, González A, Tormos LM, et al. Fatal granulomatous meningoencephalitis associated to mycobacterium mucogenicum-like microorganism: a case report. P R Health Sci J. 2009;28:276–80.

    PubMed  PubMed Central  Google Scholar 

  30. Li Y, Zhang L, Li C, Zou X, Zeng Y, Hu Z, et al. A rare case of Mycobacterium Chelonae infection in an immunocompromised adult with cavernous sinus syndrome. CNS Neurosci Ther. 2022;28:796–9.

    PubMed  PubMed Central  Google Scholar 

  31. Runyon EH. Anonymous mycobacteria in pulmonary disease. Med Clin North Am. 1959;43:273–90.

    CAS  PubMed  Google Scholar 

  32. Park SC, Kang MJ, Han CH, Lee SM, Kim CJ, Lee JM, et al. Prevalence, incidence, and mortality of nontuberculous mycobacterial infection in Korea: a nationwide population-based study. BMC Pulm Med. 2019;19:140.

    PubMed  PubMed Central  Google Scholar 

  33. Umrao J, Singh D, Zia A, Saxena S, Sarsaiya S, Singh S, et al. Prevalence and species spectrum of both pulmonary and extrapulmonary nontuberculous mycobacteria isolates at a tertiary care center. Int J Mycobacteriol. 2016;5:288–93.

    PubMed  Google Scholar 

  34. Lee MR, Cheng A, Lee YC, Yang CY, Lai CC, Huang YT, et al. CNS infections caused by Mycobacterium abscessus complex: clinical features and antimicrobial susceptibilities of isolates. J Antimicrob Chemother. 2012;67:222–5.

    CAS  PubMed  Google Scholar 

  35. Piersimoni C, Scarparo C. Extrapulmonary infections associated with nontuberculous mycobacteria in immunocompetent persons. Emerg Infect Dis. 2009;15:1351–8.

    PubMed  PubMed Central  Google Scholar 

  36. Marochi-Telles JP, Muniz R Jr, Sztajnbok J, Cosme-de OA. Disseminated Mycobacterium avium on HIV/AIDS: historical and current literature review. AIDS Rev. 2020;22:9–15.

    PubMed  Google Scholar 

  37. Koirala J, Adamski A, Koch L, Stueber D, El-Azizi M, Khardori NM, et al. Interferon-gamma receptors in HIV-1 infection. AIDS Res Hum Retroviruses. 2008;24:1097–102.

    CAS  PubMed  Google Scholar 

  38. Winthrop KL, Chang E, Yamashita S, Iademarco MF, LoBue PA. Nontuberculous mycobacteria infections and anti-tumor necrosis factor-alpha therapy. Emerg Infect Dis. 2009;15:1556–61.

    CAS  PubMed  PubMed Central  Google Scholar 

  39. Meena DS, Kumar D, Bohra GK, Kumar G. Clinical manifestations, diagnosis, and treatment outcome of CNS aspergillosis: a systematic review of 235 cases. Infect Dis Now. 2021;51:654–60.

    PubMed  Google Scholar 

  40. Kwon LM, Kim ES, Lee K, Lee Y, Song JH. Nontuberculous mycobacterial meningoencephalitis in a young healthy adult: a case report and literature review. Radiol Infect Dis. 2018;5:85–90.

    Google Scholar 

  41. Haworth CS, Banks J, Capstick T, Fisher AJ, Gorsuch T, Laurenson IF, et al. British Thoracic Society guidelines for the management of non-tuberculous mycobacterial pulmonary disease (NTM-PD). Thorax. 2017;72:ii1–64.

    PubMed  Google Scholar 

  42. Ryu YJ, Koh WJ, Daley CL. Diagnosis and treatment of nontuberculous mycobacterial lung disease: Clinicians’ perspectives. Tuberc Respir Dis (Seoul). 2016;79:74–84.

    PubMed  Google Scholar 

  43. Wang L, Wang F, Yang C, Luo F. Central nervous system infection caused by Mycobacterium houstonense: a case report. Front Neurol. 2022;1(13): 908086.

    Google Scholar 

  44. Shulha JA, Escalante P, Wilson JW. Pharmacotherapy approaches in nontuberculous mycobacteria infections. Mayo Clin Proc. 2019;94:1567–81.

    CAS  PubMed  Google Scholar 

  45. Griffith DE, Aksamit T, Brown-Elliott BA, Catanzaro A, Daley C, Gordin F, ATS Mycobacterial Diseases Subcommittee; American Thoracic Society; Infectious Disease Society of America, 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.

    CAS  PubMed  Google Scholar 

  46. Nie W, Duan H, Huang H, Lu Y, Chu N. Species identification and clarithromycin susceptibility testing of 278 clinical nontuberculosis mycobacteria isolates. Biomed Res Int. 2015;2015: 506598.

    PubMed  PubMed Central  Google Scholar 

  47. Hunkins JJ, de Moura VC, Eddy JJ, Daley CL, Khare R. In vitro susceptibility patterns for rapidly growing nontuberculous mycobacteria in the United States. Diagn Microbiol Infect Dis. 2023;105:115882.

    CAS  PubMed  Google Scholar 

  48. Kamada K, Yoshida A, Iguchi S, Arai Y, Uzawa Y, Konno S, et al. Nationwide surveillance of antimicrobial susceptibility of 509 rapidly growing mycobacteria strains isolated from clinical specimens in Japan. Sci Rep. 2021;11:12208.

    CAS  PubMed  PubMed Central  Google Scholar 

  49. Lee SH, Yoo HK, Kim SH, Koh WJ, Kim CK, Park YK, et al. Detection and assessment of clarithromycin inducible resistant strains among Korean Mycobacterium abscessus clinical strains: PCR methods. J Clin Lab Anal. 2014;28:409–14.

    CAS  PubMed  PubMed Central  Google Scholar 

  50. Huang WC, Yu MC, Huang YW. Identification and drug susceptibility testing for nontuberculous mycobacteria. J Formos Med Assoc. 2020;119(Suppl 1):S32–41.

    PubMed  Google Scholar 

  51. 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.

    CAS  PubMed  Google Scholar 

  52. Wang MS, Zhao M, Liu XJ. Risk factors for poor outcome in childhood tuberculous meningitis. Sci Rep. 2021;11:8654.

    CAS  PubMed  PubMed Central  Google Scholar 

  53. Cantier M, Morisot A, Guérot E, Megarbane B, Razazi K, Contou D, ENCEPHALITICA study group, et al. Functional outcomes in adults with tuberculous meningitis admitted to the ICU: a multicenter cohort study. Crit Care. 2018;22:210.

    PubMed  PubMed Central  Google Scholar 

Download references




This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Author information

Authors and Affiliations



Author DSM, VM and DK conceived the study; DSM, DK, VM, GKB, VT, and MKG designed the study protocol; DSM, GKB, VM, VT, MKG and DK drafted the manuscript; All authors critically revised the manuscript for critical content. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Durga Shankar Meena.

Ethics declarations

Ethics approval and consent to participate

This manuscript is a systematic review and does not require ethics clearance from the institutional review board.

Consent for publication

Not applicable.

Competing interests

The authors declare that there are no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1.

Supplemental files.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Meena, D.S., Kumar, D., Meena, V. et al. Epidemiology, clinical presentation, and predictors of outcome in nontuberculous mycobacterial central nervous system infection: a systematic review. Trop Med Health 51, 54 (2023).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: