Risk Factors and Characteristics of Nontuberculous Mycobacterial Infections

Efraim Güzel, Oya Baydar Toprak

Volume 8 · Issue 3 · pp. 207–213

Received: 20240624  Accepted: 20250902  Published: 20250930

Abstract

Aim: Infections caused by nontuberculous Mycobacterium (NTM) are extremely prevalent in nature and challenging to identify and treat. Thus, the purpose of this study was to examine the clinical characteristics and risk factors of NTM infections. Methods: The present investigation was carried out using 5-year retrospective data in a tertiary university hospital. The study comprised 29 individuals with radiological and clinical signs of NTM infection that were confirmed by microbiological testing. These patients' clinical, laboratory, radiological, and sociodemographic information was documented. Results: The patients' average age was 58.31 ± 14.31 years, and 62.1% of them were men. Cough, weakness, and fever were the most prevalent symptoms, and hypertension and chronic lung disease were the most prevalent comorbidities. Mycobacteria (M) Kansai, M. Fortuitum, and M. Abscessus were the most commonly isolated NTM species. HIV positivity, treatment type, and treatment duration were determined to be the most significant factors influencing treatment response (p=0.018, p=0.002, p=0.001, respectively). Two (6.9%) of the patients passed away during the follow-up period, and it was discovered that a high sedimentation rate, a high Charlson comorbidity index score, and a lengthy interval between the onset of symptoms and diagnosis were all linked to death (p=0.010, p=0.002, and p=0.000, respectively). Conclusions: In patients with risk factors, NTM-related clinical, radiological, and laboratory findings should raise suspicion of NTM lung disease; the possibility of contamination should be ruled out; if the pathogen is detected, patients with these findings should receive species-specific and adequate treatment. Treatment should be started as soon as possible, and patients' comorbidities should not be overlooked.

Keywords: nontuberculous mycobacterium; infections; risk factors; mortality; treatment

Introduction

Non-tuberculous mycobacteria (NTM) are free-living microorganisms that can be found everywhere in nature, but are most commonly found in soil and water sources. Tap water, surface water, dirt, domestic and wild animals, milk, and food products can all include these bacteria, which can dwell on the surfaces of the body or in secretions without producing any disease.1 It was previously thought that human diseases linked to NTM were mostly contracted through aerosols from contaminated environmental sources; however, a thorough investigation has demonstrated that person-to-person transmission is also a possibility.2 Human lung disease has been linked to the NTM family, which is believed to include over 170 distinct mycobacterial species. In particular, the M. avium complex (MAC), M. kansasii, and M. abscessus species have been implicated in lung disease.1 Although the precise mode of transmission is yet unknown, environmental factors are the main source of NTM-related human diseases. NTM infections commonly damage the skin, soft tissues, and lymphatic system in addition to the lungs.3 NTMs' capacity to form biofilms, which offer resistance to antibiotics and disinfectants, is a crucial characteristic. However, these organisms' hydrophobic properties, combined with their resistance to high temperatures and low pH levels, allow them to live longer in the wild. Given these traits, it is not unexpected that the most significant sources of life and infection for NTM are drinking water, home plumbing, soil, swamps, and drainage water.4 Advanced age, smoking, chronic obstructive pulmonary disease (COPD), pneumoconiosis, bronchiectasis, history of tuberculosis, pulmonary fibrosis following radiation therapy, chronic pulmonary aspiration, cystic fibrosis (CF), immunodeficiency conditions, HIV infection, alcoholism, cancer, and diabetes mellitus (DM) are the most prevalent risk factors for NTM infections, despite the fact that many other risk factors have been found.5 The need for multimodal diagnosis, such as the identification of consistent radiological and microbiological evidence in patients with vague symptoms like cough and weight loss, makes diagnosing NTM infection challenging. However, prompt detection of these people stops the condition from getting worse and minimizes the need for recurrent medications.6, 7 Standard therapy for tuberculosis (drug-sensitive), until culture results are available, is a combination therapy of isoniazid (INH), rifampicin (RIF), pyrazinamide (PZA), and ethambutol (ETH) for at least six months. However, more antibiotics are needed for a longer duration of time when treating instances of extensively drug-resistant (XDR) and multidrug-resistant (MDR) tuberculosis. On the other hand, anti-tuberculous (TB) medications typically have little effect in NTM .8 NTM infections are treated according to certain protocols that depend on the type of bacteria causing the infection and necessitate species identification. Treatment for NTM disease requires more various combinations based on different species than for TB.3 The significance of NTM in human diseases has grown as a result of advancements in modern microbiological techniques and the reduction in the worldwide burden of tuberculosis brought about by efficient diagnostic and treatment techniques. The current study's objectives were to, on the one hand, raise awareness of NTM infection and, on the other, characterize the clinical traits and risk factors of NTM.

Materials and Methods

2.1. Study design and participants

The study that is being reported is a retrospective analysis of patient data from August 2021 to March 2025 from the pulmonology outpatient clinic at Cukurova University Faculty of Medicine Balcalı Hospital, a tertiary care university hospital. Patients over the age of 18 with appropriate clinical symptoms (fever, fatigue, cough) and radiological findings (bronchiectasis, cavities, reticulonodular infiltration, tree-in-bud pattern, etc.) who had NTM growth in sputum (2 times) and/or bronchoscopic lavage (at least once) spicemens. The study included 29 participants in all who satisfied our requirements.

2.2. Ethical Approval

According to the 1964 Helsinki Declaration's tenets and hospital ethics regulations, the study was carried out with ethical approval from the Cukurova University Faculty of Medicine Non-Interventional Clinical Research Ethics Committee on March 7, 2025 (42/153).

2.3. Data

The data of participants in the study was obtained retrospectively from the hospital database. Information including sociodemographic data such as age, gender, height, body weight, body mass index, and smoking history; clinical characteristics such as symptoms, comorbidities, and medications used in treatment; radiological findings; diagnostic methods applied to identify the NTM subtype; and laboratory results were extracted from the hospital database and recorded using a form. Comorbidities were categorized as "0 points low risk, 1-2 points moderate risk, 3-4 points high risk, and 5 points and above very high risk”, in accordance with the Charlson Comorbidity Index.9

2.4. Pathogen detection and identification

Samples submitted for pathogen detection in this study included sputum and bronchoalveolar lavage fluid (BAL). Pathogen diagnosis and identification was performed in one of the following three ways.

1) Mycobacterial culture: A fully automated BACTEC MGIT 960 mycobacterial culture system (BD, Franklin Lakes, NJ) in our hospital's in-house microbiology laboratory was used to culture mycobacteria. If mycobacteria were present in the samples, the result was usually reported within 2-4 weeks. For culture positive specimens, smear microscopy was performed to confirm positive results and real-time PCR was used to differentiate TB from NTM. If there were no positive results 45 days after culture, the result was reported as negative.

2) Acid-fast staining: Samples were processed and evaluated in the microbiology laboratory of our hospital. The specimens were first spread and then stained with concentrated petrolatum compound red under heating, colored with hydrochloric acid alcohol and then counterstained with methylene blue solution. Acid-fast mycobacteria were stained red. Acid-fast staining could be detected by morphological analysis by microscopy by an experienced observer, but no clear distinction between TB or NTM could be made. Culture results were followed up at this stage.

3) National Tuberculosis Diagnostic and Confirmatory Laboratory: All samples were simultaneously sent to the national tuberculosis diagnosis and confirmation laboratory. Here, microbiological analyses and mycobacteria culture cultures were performed, and we were informed through the national hospital communication network as a result of the evaluation. The system worked as follows; first, a warning was generated in the data recording system as “growth of tuberculous or non-tuberculous mycobacteria was detected”, and then it resulted in subtyping for non-tuberculous mycobacteria.

2.5. Confirmation of NTM Lung Disease

The diagnostic criteria for NTM specified in the ATS/IDSA guidelines are based on the proof of the NTM subtype microbiologically, in addition to consistent findings in clinical and radiological analyses. The isolation of the pathogen from body fluids, particularly sputum, at least twice, and at least once from effectively performed bronchial lavage fluid, is of particular importance. Since NTMs are very common in the environment, their possible colonization and transmission also affect diagnosis and treatment approaches. However, while the initiation of treatment in all patients suspected of having NTM lung disease remains controversial, a “wait and see” approach, particularly with close monitoring, is accepted for a subset of patients.3

2.6. Evaluation of Treatment Response

During the study period, patient data was collected via the hospital data recording system and the national inter-hospital data network. Retrospective data was examined, and the clinical, radiologic, laboratory-microbiologic, and treatment responses of the patients during the diagnosis-therapy and follow-up periods were evaluated. The response to treatment was evaluated by pulmonologists at a tertiary care university hospital and concluded in accordance with the literature data. If the right combination therapy was given, insufficient treatment was defined as treatment that did not satisfy the ATS/IDSA guidelines3 for the duration and dosage for each kind of NTM in patients with an NTM infection. Recurrence was allowed if the causative agent was found in the relevant samples again within a year, even after receiving treatment tailored to the type and for a long enough duration. Inadequate recovery, recurrence, and all-cause death as a result of negative results were reported as negative treatment responses, whereas improvement in clinical and radiological findings and recovery with culture negativity were recorded as positive treatment responses.

2.7. Statistical analysis

SPSS 22 program was used for data analysis. Kolmogorov Smirnov test was used as normal distribution test. T-test, Mann-Whitney U test, Chi-square test were used in the analysis. p<0.05 value was considered statistically significant.

Results

The mean age of the patients who took part in the presented study was 58.31 ± 14.31 years, and 62.1% of them were male. The most typical initial symptoms were fever, weakness, and cough. The two most prevalent comorbidities among our patients were hypertension (17.2%) and chronic pulmonary illnesses (20.7%). We had two individuals with acquired immunodeficiency syndrome and four patients undergoing immunosuppressive treatment. Table 1 displays our patients' sociodemographic information. Bronchiectasis and lung nodules were the most often observed radiological imaging abnormalities, followed by cavities and a ground-glass appearance.

Sociodemographic Features of Patients

Table 1

Characteristics Characteristics n (%) or mean ± SD
Age Age 58.31 ± 14.31
Sex Male 18 (62.1)
Sex Female 11 (37.9)
Symptoms Symptoms
Cough Yes 26 (89.7)
Cough No 3 (10.3)
Sputum Yes 16 (55.2)
Sputum No 13 (44.8)
Dyspnea Yes 4 (13.8)
Dyspnea No 25 (86.2)
Haemoptysis Yes 12 (41.4)
Haemoptysis No 17 (58.6)
Fever Yes 17 (58.6)
Fever No 12 (41.4)
Weakness Yes 18 (62.1)
Weakness No 11 (37.9)
Comorbidity Comorbidity
Hypertension Yes 5 (17.2)
Hypertension No 24 (82.8)
Diabetes Mellitus Yes 2 (6.9)
Diabetes Mellitus No 27 (93.1)
Heart Disease Yes 3 (10.3)
Heart Disease No 26 (89.7)
Chronic Lung Disease Yes 6 (20.7)
Chronic Lung Disease No 23 (79.3)
Rheumatological Disease Yes 2 (6.9)
Rheumatological Disease No 27 (93.1)
Neurological Disease Yes 4 (13.8)
Neurological Disease No 25 (86.2)
Leukemia Yes 1 (3.4)
Leukemia No 28 (96.6)
Lung Cancer Yes 1 (3.4)
Lung Cancer No 28 (96.6)
Human Immunodeficiency Virus Yes 2 (6.9)
Human Immunodeficiency Virus No 27 (93.1)
Charlson Comorbidity Index Mild 10 (34.5)
Charlson Comorbidity Index Moderate 13 (44.8)
Charlson Comorbidity Index High 5 (17.2)
Charlson Comorbidity Index Very High 1 (3.4)
Immunosupressive treatment Yes 4 (13.8)
Immunosupressive treatment No 25 (86.2)

Radiological, Microbiological and Laboratory Findings in the Diagnostic Process

Table 2

Characteristics Characteristics n (%) or mean ± SD
Cavity Yes 7 (24.1)
Cavity No 22 (75.9)
Bronchiectasis Yes 10 (34.5)
Bronchiectasis No 19 (65.5)
Ground Glass Yes 6 (20.7)
Ground Glass No 23 (79.3)
Consolidation Yes 4 (13.8)
Consolidation No 25 (86.2)
Nodules Yes 10 (34.5)
Nodules No 19 (65.5)
Tree in bud Yes 4 (13.8)
Tree in bud No 25 (86.2)
Reticulonodular infiltration Yes 5 (17.2)
Reticulonodular infiltration No 24 (82.8)
Sequelae Yes 2 (6.9)
Sequelae No 27 (83.1)
Time from first symptom to diagnosis <3 month 18 (62.1)
Time from first symptom to diagnosis 3-6 month 8 (27.6)
Time from first symptom to diagnosis >6 month 3 (10.3)
Diagnostic Method Sputum 17 (58.6)
Diagnostic Method Bronchoalveolar lavage 12 (41.4)
ARB Positive 8 (27.6)
ARB Negative 21 (72.4)
Type of nontuberculous mycobacteria Undetermined type 7 (24.1)
Type of nontuberculous mycobacteria M. Kansasii 5 (14.2)
Type of nontuberculous mycobacteria M. Simiae 4 (13.8)
Type of nontuberculous mycobacteria M. Chelonae 1 (3.4)
Type of nontuberculous mycobacteria M. Fortuitum 5 (14.2)
Type of nontuberculous mycobacteria M. Abscessus 5 (14.2)
Type of nontuberculous mycobacteria M. Species 1 (3.4)
Type of nontuberculous mycobacteria M. Intercellulare 1 (3.4)
WBC (*103 / mm3) WBC (*103 / mm3) 7.46 ± 2.41
Neutrophil (*103 / mm3) Neutrophil (*103 / mm3) 4.91 ± 1.91
Lymphocyte (*103 / mm3) Lymphocyte (*103 / mm3) 1.61 ± 0.83
CRP CRP 31.91 ± 58.11
Sedimentation Sedimentation 29.90 ± 15.20
LCR LCR 255.50 ± 272.53
NLR NLR 4.08 ± 3.16

Abbrevations: ARB: acid-fast/resistant bacilli, M.: Mycobacteria, WBC: white blood cell, CRP: C-Reactive Protein, LCR: Lymphocyte/CRP ratio, NLR: Neutrophil/Lymphocyte ratio, LSR: Lymphocyte/Sedimentation ratio

The most prevalent method of diagnosis was the creation of microorganisms from sputum culture, and in about 62.1% of the patients, the diagnosis was made within three months after the onset of symptoms. Only 27.6% of patients had an acid-fast/resistant bacillus (ARB) positive. The most prevalent mycobacterial species were M. kansasii (17.2%), M. fortuitum (17.2%), M. abscessus (17.2%), and M. simiae (13.8%), but NTM subspecies were not found in 24.1% of the patients. Table 2 displays the results of the laboratory, microbiology, and radiologic tests.

Of the diagnosed patients, 62.1% received normal antituberculosis medications, 17.2% received treatment specific to NTM, and 20.7% were followed without treatment. Treatment was initiated in patients with positive symptoms, radiological findings, and microbiological findings, confirming the diagnosis of NTM lung disease. However, in patients without radiological or symptomatic findings, the positive microbiological results were considered to be infection, and treatment was not initiated in this group of patients, who were monitored without treatment. 55.2% of patients received treatment for less than six months, and 24.1% received treatment for more than six months. It is clear that NTM treatment is long-term, but in patients receiving short-term treatment, there were reasons for discontinuing treatment, such as bacterial growth in tuberculosis cultures sometime after NTM, patients discontinuing treatment of their own accord, and side effects caused by the medication. Table 3 displays the patients' treatment characteristics.

Treatment Characteristics of Patients

Table 3

Characteristics n (%)
Treatment type Follow-up without treatment 6 (20.7)
Treatment type Standard Antituberculosis treatment 18 (62.1)
Treatment type Type Specific Treatment 5 (17.2)
Total treatment time No treatment 6 (20.7)
Total treatment time 6 months and less 16 (55.2)
Total treatment time >6 months 7 (24.1)
Drug resistance Rifampicin 3 (10.3)
Drug resistance Ethambutol 6 (20.7)
Drug resistance Trimethoprim-Sulfomethoxazole 15 (51.7)
Drug resistance Ciprofloxacin 8 (27.6)
Drug resistance Doxycycline 9 (31)
Drug resistance Clarithromycin 1 (3.4)
Drug resistance Streptomycin 1 (3.4)
Drug resistance Cefoxitin 4 (13.8)
Drug resistance Tobramycin 1 (3.4)
Treatment Responses Treatment success 21 (72.4)
Treatment Responses Treatment failure 8 (27.6)
Final status following follow-up Exitus 2 (6.9)
Final status following follow-up Recovery 27 (83.1)

In our treatment response analysis, we found that presence of HIV, treatment type (follow-up prior to treatment initiation, non-species-specific treatment regimens), and insufficient treatment duration negatively affected treatment response (respectively; p=0.018, p=0.002, p=0.001). Detailed evaluation is presented in Table 4.

In the 5-year data, it was determined that 2 (6.9%) of the patients included in the study died for various reasons. One of the deceased patients had chronic lung disease, while the other had lung cancer. One patient had the NTM subtype M. fortuitum, while the other patient's NTM subtype could not be determined. In the analyses, a high Charlson comorbidity index score, high sedimentation rate, and long interval between symptom onset and diagnosis were found to be associated with mortality (p=0.010, p=0.002, and p=0.000, respectively). Table 5 provides a detailed presentation of the findings and their correlation with mortality.

Treatment Responses According to Patient Characteristics

Table 4

Characteristics Characteristics n (%) or mean ± SD n (%) or mean ± SD p
Characteristics Characteristics Treatment success Treatment failure p
Age Age 59.67 ± 15.14 54.75 ± 12.01 0.235
Sex Male 15 (51.7) 3 (10.3) 0.092
Sex Female 6 (20.7) 5 (17.2) 0.092
Charlson Comorbidity Index Mild 8 (27.6) 2 (6.9) 0.330
Charlson Comorbidity Index Moderate 10 (34.5) 3 (10.3) 0.330
Charlson Comorbidity Index High 3 (10.3) 2 (6.9) 0.330
Charlson Comorbidity Index Very High 0 1 (3.4) 0.330
HIV Yes 0 2 (6.9) 0.018
HIV No 21 (72.4) 6 (20.7) 0.018
Type of nontuberculous mycobacteria Undetermined 6 (20.7) 1 (3.4) 0.905
Type of nontuberculous mycobacteria M. Kansasi 5 (17.2) 0 0.905
Type of nontuberculous mycobacteria M. Simiae 4 (13.8) 0 0.905
Type of nontuberculous mycobacteria M. Chelonae 1 (3.4) 0 0.905
Type of nontuberculous mycobacteria M. Fortuitum 4 (13.8) 1 (3.4) 0.905
Type of nontuberculous mycobacteria M. Abscessus 5 (17.2) 0 0.905
Type of nontuberculous mycobacteria M. Species 1 (3.4) 0 0.905
Type of nontuberculous mycobacteria M. Intercellulare 1 (3.4) 0 0.905
Time from first symptom to diagnosis <3 month 12 (41.4) 6 (20.7) 0.533
Time from first symptom to diagnosis 3-6 month 7 (24.1) 1 (3.4) 0.533
Time from first symptom to diagnosis >6 month 2 (6.9) 1 (3.4) 0.533
Treatment type No treatment 1 (3.4) 5 (17.2) 0.002
Treatment type Standard AntiTb 15 (51.7) 3 (10.3) 0.002
Treatment type Type Specific 5 (17.2) 0 0.002
Total treatment time No treatment 1 (3.4) 5 (17.2) 0.001
Total treatment time 6 months and less 16 (55.2) 0 0.001
Total treatment time >6 months 4 (13.8) 3 (10.3) 0.001
Cavity Yes 5 (17.2) 2 (6.9) 0.947
Cavity No 16 (55.2) 6 (20.7) 0.947
Bronchiectasis Yes 7 (24.1) 3 (10.3) 0.833
Bronchiectasis No 14 (48.4) 5 (17.2) 0.833
Ground Glass Yes 4 (13.8) 2 (6.9) 0.724
Ground Glass No 17 (58.6) 6 (20.7) 0.724
Consolidation Yes 3 (10.3) 1 (3.4) 0.901
Consolidation No 18 (62.1) 7 (24.1) 0.901
Nodules Yes 7 (24.1) 3 (10.3) 0.833
Nodules No 14 (48.4) 5 (17.2) 0.833
Tree in bud Yes 4 (13.8) 0 0.184
Tree in bud No 17 (58.6) 8 (27.6) 0.184
Reticulonodular infiltration Yes 4 (13.8) 1 (3.4) 0.677
Reticulonodular infiltration No 17 (58.6) 7 (24.1) 0.677
Sequelae Yes 2 (6.9) 0 0.366
Sequelae No 19 (65.5) 8 (27.6) 0.366
WBC (*103 / mm3) WBC (*103 / mm3) 7.95 ± 2.42 6.17 ± 1.95 0.074
Neutrophil (*103 / mm3) Neutrophil (*103 / mm3) 5.28 ± 2.01 3.95 ± 1.24 0.094
Lymphocyte (*103 / mm3) Lymphocyte (*103 / mm3) 1.67 ± 0.82 1.41 ± 0.87 0.455
CRP CRP 29.09 ± 56.87 39. 28± 64.87 0.681
Sedimentation Sedimentation 30.38 ± 16.55 28.63 ± 11.75 0.787
LCR LCR 301.14 ± 295.21 135.67 ± 159.49 0.147
NLR NLR 4.16 ± 3.49 3.88 ± 2.21 0.835

Abbrevations: AntiTb: Antituberculosis, ARB: acid-fast/resistant bacilli, M.: Mycobacteria, WBC: white blood cell, CRP: C-reactive protein, LCR: Lymphocyte/CRP ratio, NLR: Neutrophil/Lymphocyte ratio, LSR: Lymphocyte/Sedimentation ratio

Relationship between Patient Characteristics and Mortality

Table 5

Characteristics Characteristics n (%) or mean ± SD n (%) or mean ± SD p
Characteristics Characteristics Lives Exitus p
Age Age 58.11 ± 14.76 61.00 ± 7.07 0.235
Sex Male 17 (58.6) 1 (3.4) 0.715
Sex Female 10 (34.5) 1 (3.4) 0.715
Charlson Comorbidity Index Mild 10 (34.5) 0 0.002
Charlson Comorbidity Index Moderate 12 (41.4) 1 (3.4) 0.002
Charlson Comorbidity Index High 5 (17.2) 0 0.002
Charlson Comorbidity Index Very High 0 1 (3.4) 0.002
HIV Yes 2 (6.9) 0 0.690
HIV No 25 (86.2) 2 (6.9) 0.690
Type of nontuberculous mycobacteria Undetermined 6 (20.7) 1 (3.4) 0.905
Type of nontuberculous mycobacteria M. Kansasi 5 (17.2) 0 0.905
Type of nontuberculous mycobacteria M. Simiae 4 (13.8) 0 0.905
Type of nontuberculous mycobacteria M. Chelonae 1 (3.4) 0 0.905
Type of nontuberculous mycobacteria M. Fortuitum 4 (13.8) 1 (3.4) 0.905
Type of nontuberculous mycobacteria M. Abscessus 5 (17.2) 0 0.905
Type of nontuberculous mycobacteria M. Species 1 (3.4) 0 0.905
Type of nontuberculous mycobacteria M. Intercellulare 1 (3.4) 0 0.905
Time from first symptom to diagnosis <3 month 18 (62.1) 0 0.000
Time from first symptom to diagnosis 3-6 month 8 (27.6) 0 0.000
Time from first symptom to diagnosis >6 month 1 (3.4) 2 (6.9) 0.000
Treatment type No treatment 5 (17.2) 1 (3.4) 0.168
Treatment type Standard AntiTb 18 (62.1) 0 0.168
Treatment type Type Specific 4 (13.8) 1 (3.4) 0.168
Cavity Yes 7 (24.1) 0 0.408
Cavity No 20 (69) 2 (6.9) 0.408
Bronchiectasis Yes 10 (34.5) 0 0.288
Bronchiectasis No 17 (58.6) 2 (6.9) 0.288
Ground Glass Yes 5 (17.2) 1 (3.4) 0.289
Ground Glass No 22 (75.9) 1 (3.4) 0.289
Consolidation Yes 3 (10.3) 1 (3.4) 0.124
Consolidation No 24 (82.8) 1 (3.4) 0.124
Nodules Yes 9 (31) 1 (3.4) 0.632
Nodules No 18 (62.1) 1 (3.4) 0.632
Tree in bud Yes 4 (13.8) 0 0.558
Tree in bud No 23 (79.3) 2 (6.9) 0.558
Reticulonodular infiltration Yes 4 (13.8) 1 (3.4) 0.204
Reticulonodular infiltration No 23 (79.3) 1 (3.4) 0.204
Sequelae Yes 2 (6.9) 0 0.690
Sequelae No 25 (86.2) 2 (6.9) 0.690
WBC (*103 / mm3) WBC (*103 / mm3) 7.18 ± 2.09 11.25 ± 4.31 0.121
Neutrophil (*103 / mm3) Neutrophil (*103 / mm3) 4.73 ± 1.79 7.41 ± 1.98 0.874
Lymphocyte (*103 / mm3) Lymphocyte (*103 / mm3) 1.55 ± 0.76 2.25 ± 1.77 0.073
CRP CRP 29.34 ± 59.91 66.50 ± 42.28 0.867
Sedimentation Sedimentation 29.67 ± 15.74 33.00 ± 0.00 0.010
LCR LCR 272.07 ± 275.42 31.81 ± 6.85 0.196
NLR NLR 4.07 ± 3.04 4.25 ± 2.46 0.867

Abbrevations: AntiTb: Antituberculosis, ARB: acid-fast/resistant bacilli, M.: Mycobacteria, WBC: white blood cell, CRP: C-reactive protein, LCR: Lymphocyte/CRP ratio, NLR: Neutrophil/Lymphocyte ratio, LSR: Lymphocyte/Sedimentation ratio

Discussion

Since NTM infections are difficult to detect, treatment and monitor, it is difficult to arrive at clear conclusions about their incidence. Nevertheless, different results have been recorded in different regions. The first incidence estimates of NTM disease were reported as 5.7 per 100,000 in Oregon in 2012, with a 3-4 times higher risk, especially in people over 70 years of age.10 Between 1995 and 2012, a comprehensive study showed that the incidence of NTM culture-positive isolates increased nearly eightfold in England, Wales and Northern Ireland, from 0.9 per 100,000 in 1995 to 7.6 per 100,000 in 2012.11, 12 In another study, Prevots et al. reported an increase in the prevalence of pulmonary NTM cases in people over 60 years of age from 19.6 cases/100,000 person-years between 1994 and 1996 to 26.7 cases/100,000 person-years between 2004 and 2006.13 A meta-analysis in sub-Saharan Africa reported that the prevalence of NTMs in probable TB cases ranged from 1.7% to 15.1%.14 In our study, we identified a total of 29 NTM infections, but we were unable to determine the incidence with certainty. From the hospital data portal, we learned that an average of 80,000 patients with respiratory symptoms suspected of NTM present to hospitals each year. Based on these data, we estimate that the annual incidence of NTM is approximately 7 per 100,000 based on our total case count. We would also like to remind you that this measurement may not be entirely reliable and is only an estimate.

Many different studies on Mycobacterium subtypes have been published. A recent review emphasized that the most frequently isolated Mycobacterium species in NTM infections in South Africa was MAC, followed by M. kansassii and M. fortuitum, but the 2nd and 3rd most common agents may vary depending on regional differences.15 Prevots et al. reported that MAC (80.1%) was the most common species isolated from patients with definite disease, followed by M. chelonae and M. abscessus (12.1%), M. fortuitum (5.6%) and M. kansasii (5.5%).13 A study evaluating NTM infections in immunocompromised patients showed a significant reduction in the incidence of MAC cases in HIV patients after effective antiretroviral therapies. On the other hand, the same study linked common NTM infection with M. kansasii, which causes lung disease in more than 50% of AIDS patients.16 In a review of the epidemiology, diagnosis and treatment of TB and NTM infections, it was reported that MAC was isolated in 61% of cystic fibrosis patients, M. abscessus in 39% and other NTMs in 21%, and that more than one NTM species was isolated in approximately 19% of these patients.17 In our study, the most frequently isolated species were M. kansasii, M. fortuitum and M. abscessus, while M. intercellulare (MAC) was very rare. Since the test results detected in our hospital laboratory have also been confirmed by the national microbiology laboratory, we believe that the results we have obtained regarding NTM subtypes reflect the truth. Contrary to many studies in the literature, the low number of MAC cases in our study was attributed to the low number of HIV-positive or immunosuppressive patients in the patient group, as well as climatic and geographical conditions.

In the diagnosis of active NTM disease, the most important indicators are clinical symptoms along with radiological findings such as pulmonary nodules, cavitary opacities, multifocal bronchiectasis, and scattered multiple small nodules.3 A study conducted in the UK presented case-supported findings showing that the most common radiological findings of NTM are associated with pulmonary nodular infiltrates with various characteristics, cavitary opacities, bronchiectasis, thickening of the bronchial wall, mucus plugs, and fibrotic sequelae of lung structures.18 In our study, the most common radiological findings were nodular opacities and bronchiectasis. In addition to these findings, cavities, ground-glass opacities, reticulonodular infiltrates, and consolidation were also notable radiological findings and were consistent with data in the literature.

In a review of patients infected with M. kansasii, the most common risk factors for NTM were found to be smoking, chronic obstructive pulmonary disease (COPD), alcohol abuse, previous tuberculosis (TB), and HIV infection.19 In a review published in the UK on NTM management, the following factors were identified: alcohol abuse, biological agents, chronic kidney disease, diabetes, female gender, gastroesophageal reflux disease, immunosuppression (primary or secondary due to disease or drug treatment), inhaled corticosteroids, low body mass index, pneumoconiosis, and underlying structural lung disease (e.g., bronchiectasis and COPD (chronic obstructive pulmonary disease) are the most important risk factors for the development of pulmonary NTM disease.18 In a recent study examining comorbid factors associated with 2,990 NTM-related deaths using death certificate data from 1999 to 2010, it was found that 2% of these were related to primary immunodeficiency, 1.1% to lymphoma and hematological malignancies, and 0.5% to human immunodeficiency virus (HIV).20 A 2017 review emphasized that the presence of cavitary disease is associated with higher mortality in NTM cases and that these patients require urgent treatment, whereas cases with nodular or bronchiectasis disease may progress more slowly and early treatment may not be recommended.21 In addition to these risk factors, treatment of NTM diseases follows specific guidelines based on the nature of the infecting bacteria, requires species identification, and generally takes longer than standard treatment.3 However, it should also be noted that a diagnosis of NTM lung disease does not necessarily require the initiation of antibiotic treatment against NTM species.3 A recent review published in 2024 found that adding rifampicin to the M. kansasii treatment regimen reduced relapses and increased recovery rates.22 In this study, we found that the most common comorbidities associated with NTM were chronic lung disease and hypertension. Given that these are among the most common diseases in the community, this result did not surprise us. Additionally, only two of our patients were HIV-positive, and the presence of HIV, non-adherence to treatment, and treatment practices not specific to the NTM subtype were found to negatively affect the response to treatment. These results were consistent with data in the literature.

Another focus of our study was mortality data in NTM patients. There is limited data on mortality in the literature. In a 2018 review of 14 MAC-based studies, although significant heterogeneity was observed in mortality, the overall mortality rate was found to be approximately 27%. The same study also noted that male gender, the presence of comorbidities, and advanced age are common risk factors for mortality.23 The mortality rate in our study was 6.9%, and we found that high sedimentation rate, high Charlson comorbidity score, and long time between symptom onset and diagnosis were associated with mortality. However, we believe that our mortality data should be evaluated considering the small sample size and only two cases of death.

Despite our important findings, the study has some limitations. One important limitation was the small sample size. This limited the ability to conduct in-depth analyses, particularly multivariate analyses, resulting in limited data on risk factors. Additionally, the retrospective nature of the study, its conduct at a single center, its dependence on the data recording system for results, and the variability in follow-up duration are among the other important limitations.

Conclusion

Although the results of the presented study are consistent with the literature, we believe that it is a unique study due to the presence of HIV, untreated follow-up, insufficient treatment duration, and non-species-specific treatment practices affecting treatment success, as well as findings such as low MAC rates . It should also be noted that although NTMs can live in a wide variety of natural environments and spread easily to humans, they are difficult to detect. However, in patients with compatible clinical and radiological findings, microbiological identification of the causative agent should be considered in terms of treatment needs. After confirming NTM lung disease, identifying NTM subtypes, and ruling out contamination, risk factors such as HIV and immunosuppression should also be identified, and patients should be started on species-specific treatment, which should be continued for an adequate period of time.

Statement of ethics

The study received approval from the Cukurova University Faculty of Medicine Non-Interventional Clinical Research Ethics Committee on March 7, 2025 (42/153).

genAI

No artificial intelligence-based tools or generative AI technologies were used in this study. The entire content of the manuscript was originally prepared, reviewed, and approved by both authors.

Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Conflict of interest statement

The authors declare that they have no conflict of interest.

Availability of data and materials

This Data and materials are available to the researchers.

Author contributions

Both authors contributed equally to the article. Both authors read and approved the final manuscript.

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Cite this article

Efraim Güzel, Oya Baydar Toprak. Risk Factors and Characteristics of Nontuberculous Mycobacterial Infections. Journal of Cukurova Anesthesia and Surgical Sciences. 8(3):207-213. https://doi.org/10.36516/jocass.1726511

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