
==== Front
Infect Drug Resist
Infect Drug Resist
idr
Infection and Drug Resistance
1178-6973
Dove

475652
10.2147/IDR.S475652
Original Research
Clinical Characteristics of Patients with Nontuberculous Mycobacterium Pulmonary Disease in Fuyang, China: A Retrospective Study
Wang et al
Wang et al
Wang Xiaowu 1 2
Li Tuantuan 1 2
Liu Yan 1 2
Zhu Yilang 1 2
Chen Lichang 1 2
Gao Yong 1 2
1 Department of Clinical Laboratory, The Second People’s Hospital of Fuyang City, Fuyang, Anhui, People’s Republic of China
2 Department of Clinical Laboratory, Fuyang Infection Disease Clinical College of Anhui Medical University, Fuyang, Anhui, People’s Republic of China
Correspondence: Yong Gao, The Second People’s Hospital of Fuyang City, No. 1088, West Yinghe Road, Fuyang, Anhui, People’s Republic of China, Email fyeryuangy8@126.com
14 9 2024
2024
17 39894000
26 4 2024
07 9 2024
© 2024 Wang et al.
2024
Wang et al.
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Objective

We retrospectively review consecutive patients with nontuberculous mycobacterium (NTM) pulmonary disease reported from a designated hospital for infectious diseases in the Fuyang district of China to determine the clinical characteristics of these patients.

Methods

This research enrolled 234 patients with NTM pulmonary disease between January 2018 and May 2023 in the Fuyang district of China. Data were collected from the electronic medical records. The NTM strain composition and clinical characteristics of NTM pulmonary disease were retrospectively analyzed.

Results

73 (31.20%) patients had previous tuberculosis (TB) or TB exposure history and bronchiectasis. Mixed NTM infection accounted for 12.39%. Mycobacterium intracellulare strain was detected in 132 patients (49.62%). Women were found to be more affected by Mycobacterium avium infection, and men by Mycobacterium abscessus infection. Mycobacterium avium (34.21%) and Mycobacterium abscessus (33.33%) strains were most common in people with previous TB or TB exposure history. Among respiratory tract-related diseases, patients with bronchiectasis had the highest isolation rate of Mycobacterium avium (55.36%). Women were susceptible to bronchiectasis (P <0.01). The median of mononuclear-to-lymphocyte ratio (MLR) was higher in men than in women (P < 0.01). The serum albumin (ALB) level was lower in patients with TB or TB exposure history than in those without TB history (P = 0.034). The prognostic nutritional index (PNI) was lower in patients with TB or TB exposure history than in those without tuberculosis history (P = 0.021). Patients with NTM lung disease were poorly treated.

Conclusion

Clinical symptoms of the disease were not species-specific. Mycobacterium intracellulare and Mycobacterium avium strains were predominant in the Fuyang district of China. Previous TB or TB exposure history immensely enhanced the risk of NTM disease.

Keywords

NTM
clinical symptoms
tuberculosis exposure history
bronchiectasis
==== Body
pmcIntroduction

Nontuberculous mycobacteria (NTMs) are considered as a significant opportunistic pathogen in humans.1 They most often affect the lungs and can lead to disease progression in susceptible hosts, mainly in individuals with chronic lung diseases, such as chronic obstructive pulmonary disease (COPD), bronchiectasis, cystic fibrosis, and prior tuberculosis (TB).2–4 Due to the similarity in clinical symptoms between nontuberculous mycobacteria (NTM) infections and pulmonary TB caused by Mycobacterium tuberculosis (Mtb), as well as the possibility of positive acid-fast staining in sputum smear microscopy, NTM infections are easily misdiagnosed as pulmonary TB. Moreover, many NTM strains are often resistant to commonly used anti-TB drugs, which can further lead to misdiagnosis as drug-resistant pulmonary TB.5 The treatment of NTM infection is also challenging, as it requires different antimycobacterial drugs, expert management, and prolonged hospitalization.6 Therefore, understanding the clinical characteristics of patients with NTM pulmonary disease is essential to help its timely diagnosis and treatment.

Despite a significant reduction in morbidity due to TB in China since 2000, TB remains a public health concern in this country.7 In recent decades, the incidence and mortality of NTM infections have substantially increased globally, and the lung is the most critically affected organ in this disease.8,9 The infection rate of NTM in China is increasing. So far, domestic reports on the characteristics of NTM pulmonary disease are limited.10,11 In particular, the prevalence of NTM infection in Fuyang has not yet been assessed. In this retrospective study, we summarized the clinical characteristics of NTM infections and analyzed the composition of NTM strains. We also grouped NTM pulmonary cases by gender and different NTM strains to identify potential differences or correlations, intending to provide valuable clues for clinical diagnosis.

Materials and Methods

Study Design and Participants

NTM infection is a reportable condition in China. This retrospective study included hospitalized patients with NTM pulmonary disease referred to a designated hospital for specified infectious diseases in the Fuyang district of China between January 2018 and May 2023. The laboratory utilized respiratory samples, such as sputum or bronchoalveolar lavage fluid, to culture mycobacteria and identify strains from positive cultures for the diagnosis of NTM infection. The evaluation of NTM pulmonary disease strictly adhered to the guidelines set forth by the American Thoracic Society and the Infectious Diseases Society of America in 2007. It briefly included the following criteria: (1) assessment of eight pulmonary symptoms 10; (2) identification of nodules or cavities on imaging; and (3) confirmation of at least one positive bronchial lavage fluid sample or repeated two or more positive sputum samples 10. All patient information was obtained from the hospital and laboratory information systems, including sex, age, underlying diseases, strain identification, blood routine, biochemistry, and so forth. A total of 234 patients were included in the analysis, and the flowchart of patient selection is shown in Figure 1. Figure 1 Flowchart illustrating patient enrollment. NTM, Nontuberculous mycobacteria; TB, tuberculosis.

Laboratory Analysis

The collected respiratory specimens were cultured using the MGIT 960 Mycobacteria Growth Indicator Tube system (Becton, Dickinson and Company, USA)12 and the modified Roche method for Mtb isolation. The positive cultures were subjected to preliminary identification of the bacterial strains using P-nitrobenzoic acid/pyridine-2-carboxylic acid hydrazine culture.13 The DNA microarray chip method (Mycobacterial Species Identification Array Kit, CapitalBio Technology Inc., Beijing, China) and MALDI-TOF mass spectrometry (Bruker Daltonics, Autoflex, USA) were used for the identification of Mtb species.14 The platelet, lymphocyte, mononuclear, and neutrophil counts were analyzed using an XE-2100 hematology analyzer (Sysmex, Kobe, Japan). The blood biochemistry parameters such as serum albumin (ALB) and C-reactive protein were measured using the HITACHI 7600–020 automated biochemistry analyzer. The neutrophil-to-lymphocyte ratio (NLR), mononuclear-to-lymphocyte ratio (MLR), prognostic nutritional index (PNI), and platelet-to-lymphocyte ratio (PLR) were calculated, where PNI = ALB (g/L) and 5 × total lymphocyte count (109/L). The data from the first laboratory test at admission were used for all patients. All procedures were performed by specially assigned personnel and in strict accordance with the instructions for using the reagents.

Treatment Outcome Analyses

All patient information of treatment outcome was obtained from the hospital and laboratory information systems. Treatment Effect Determination: (1) Bacteriological Negative Rate: Bacteriological testing is conducted monthly after treatment using the sputum smear and bacteria medium method. Three tests are performed each month, with visible acid-fast bacilli considered positive and no acid-fast bacilli considered negative. If sputum bacteria are negative for two consecutive months or more, it is deemed negative. The treatment is reviewed over 6 months to determine the rate of conversion to negative. (2) Imaging Efficacy Judgment: Review imaging images of chest CT scans 6 months post-treatment to evaluate lesion absorption and cavity improvement. Specific evaluation criteria include: ① Obvious Absorption: More than 1/2; ② Partial Absorption: Less than 1/2 but more than 1/3; ③ No Change: Less than 1/3 lesion absorption; ④ Deterioration: No lesion absorption, expanded lesion range, and new lesions visible. (3) Cavity Change: Based on the change in cavity size, there are four levels: ① Closed: Cavity completely disappeared; ② Reduction: Cavity diameter reduced by more than 50%; ③ No Change: Cavity diameter reduction degree is less than 50%; ④ Increase: Cavity diameter increased by more than 50%. (4) Comprehensive Efficacy: According to bacteriology, imaging criteria, and a comprehensive evaluation of efficacy, the results are divided into: ① Effective: The patient’s clinical symptoms disappeared, sputum bacteria turned negative, X-ray showed significant lesion absorption, the cavity narrowed, and the condition persisted for more than 3 months; ② Invalid: Various clinical symptoms did not change or even showed an increasing trend, with continuous positive sputum bacteria.

Statistical Analyses

Continuous measurements were expressed as mean and standard deviation (SD) if they were normally distributed, or median and interquartile ranges if they were non-normally distributed. Categorical variables were expressed as count (%). For laboratory results, we also assessed whether the measurements were outside the normal range. The Kolmogorov–Smirnov test was used for the distribution of variables. Bivariate analyses were performed and the chi-square test was used to assess qualitative variables, whereas the Yates continuity correction or Fisher’s exact test was used for sample sizes less than 5. For quantitative variables, the Student t test or analysis of variance was performed when the distribution was close to normal; otherwise, nonparametric tests including Wilcoxon and Kruskal–Wallis were used. SPSS (version 22.0) was used for statistical analyses.

Results

Baseline Characteristics and Clinical Laboratory Data

The clinical records of the 234 patients with NTM pulmonary disease included in this study were reviewed. Table 1 presents baseline characteristics and clinical laboratory data of patients with NTM infection admitted to a designated hospital for specified infectious diseases in the Fuyang district of China between January 2018 and May 2023. Most patients were men, with a mean age of 63.72 years. Of these, 87.18% were agricultural workers; 73 (31.20%) patients had previous TB or TB exposure history and bronchiectasis. The average length of stay in the hospital was 12.81 days. Mixed NTM infection accounted for 29 (12.39%) patients. The coincidence between admission diagnosis and discharge diagnosis was 133 (56.84%) patients. A few patients had other bacterial infections. The readmission rate was as high as 110 (47.00%) patients. The leucocyte count was below the normal range (3.50–9.50 × 109/L) in 13 (5.57%) patients and above the normal range (3.50–9.50 × 109/L) in 50 (21.37%) patients. The lymphocyte count was below the normal range (1.10–3.20 × 109/L) in 76 (32.48%) patients. The monocyte count was above the normal range (0.10–0.60 × 109/L) in 135 (57.69%) patients. The neutrophil count was above the normal range in 61 (26.07%) patients. The platelet count was below the normal range (125.00–350.00 × 109/L) in 209 (89.32%) patients. The ALB level was below the normal range (40.00–55.00 g/L) in 194 (82.91%) patients. Furthermore, the C-reactive protein level was tested in 217 patients, and 169 (77.88%) patients had levels above the normal range (0–6.00 mg/L). The CD4 and T helper cells were tested in 55 patients, and most had levels below the normal range (404.00–1612.00/L).Table 1 Baseline Characteristics and Clinical Laboratory Data of 234 Patients Admitted to a Designated Hospital for Specified Infectious Diseases in the Fuyang Area in China with NTM Pulmonary Disease in This Study

Baseline Characteristics	Patients (n=234)	
Age, years, [Mean (SD)]	63.72 (14.35)	
Age, Range		
 ≤19	2 (0.85)	
 20~39	15 (6.41)	
 40~59	65 (27.78)	
 60~79	136 (58.12)	
 ≥80	16 (6.84)	
Sex		
 Female	79 (33.76)	
 Male	155 (66.24)	
Occupation		
 Agricultural worker	204 (87.18)	
 Self-employed	13 (5.56)	
 Employee	9 (3.85)	
 Retired	6 (2.56)	
 Student	1 (0.43)	
 Teacher	1 (0.43)	
Underlining diseases		
 Previous TB or TB exposure history	73 (31.20)	
 AIDS	5 (2.14)	
 Hypertension	32 (13.68)	
 Diabetes	19 (8.12)	
 Bronchiectasis	73 (31.20)	
 COPD	50 (21.37)	
 Pulmonary aspergillosis	12 (5.13)	
 Respiratory Failure	21 (8.97)	
Hospital stay, [Mean (SD)]	12.81 (8.22)	
Two types of NTM		
 Yes	29 (12.39)	
 No	205 (87.61)	
The coincidence between admission diagnosis and discharge diagnosis		
 Yes	133 (56.84)	
 No	101 (43.16)	
Infections caused by other associated bacterial strains		
 Yes	14 (5.98)	
 No	220 (94.02)	
Readmission	110 (47.00)	
Clinical laboratory data		
Leucocytes (× 109 per L; normal range 3.50–9.50), [Mean (SD)]	7.71 (3.89)	
 Increased	50 (21.37)	
 Decreased	13 (5.56)	
Lymphocytes (× 109 per L; normal range 1.10–3.20), [Mean (SD)]	1.42 (0.60)	
 Decreased	76 (32.48)	
Monocytes (× 109 per L; normal range 0.10–0.60), [Mean (SD)]	0.70 (0.35)	
 Increased	135 (57.69)	
Neutrophils (× 109 per L; normal range 1.80–6.30), [Mean (SD)]	5.42 (3.71)	
 Increased	61 (26.07)	
Haemoglobin (g/L; normal range 115.00–150.00), [Mean (SD)]	110.90 (11.90)	
 Decreased	102 (43.59)	
Platelets (× 109 per L; normal range 125.00–350.00), [Mean (SD)]	257.52 (104.01)	
 Decreased	209 (89.32)	
Albumin (g/L; normal range 40.00–55.00), [Mean (SD)]	34.11 (6.43)	
 Decreased	194 (82.91)	
C-reactive protein (mg/L; normal range 0.00–6.00)*, [Mean (SD)]	7.71 (3.89)	
 Increased	169 (77.88)	
CD4 and T helper cells (per L; normal range 404.00–1612.00)#, [Mean (SD)]	27.30 (246.91)	
 Decreased	39 (70.91)	
Notes: Data are n (%) and mean (SD). Increased means over the upper limit of the normal range, and decreased means below the lower limit of the normal range. *Data available for 217 patients. #Data available for 55 patients.

Abbreviations: NTM, nontuberculous mycobacterium; SD, standard deviation;TB, tuberculosis; AIDS, Acquired Immune Deficiency Syndrome; COPD, chronic obstructive pulmonary disease.

NTM Strain Composition

Figure 2 illustrates NTM strain composition. Among the 234 patients with NTM disease, 10 types of NTM species were detected.The 234 included patients had 266 NTM strains identified at the species level, of which 132 strains (49.62%) belonged to Mycobacterium intracellulare, 56 (21.05%) belonged to Mycobacterium avium, 37 (13.91%) belonged to Mycobacterium abscessus, 13 (4.89%) belonged to Mycobacterium chelonae, 12 (4.51%) belonged to Mycobacterium paracellular. Figure 2 NTM strain composition.

Overview and Pre-Existing Conditions in Patients with NTM Infection

Table 2 presents general information and underlying diseases of 217 patients with NTM infection. The C-reactive protein data were missing for 17 patients; therefore, only 217 patients were included in this study. The mean age of patients in both groups was 68 years. Women were susceptible to bronchiectasis (P < 0.01). The average lymphocyte count was higher in women than in men, but the average value was within the normal range (1.10–3.20 × 109/L) (P = 0.027). The median of monocyte count was higher in men than in women (P = 0.019). The median of MLR was higher in men than in women (P < 0.01).Table 2 Overview and Pre-Existing Conditions in 217 Patients with NTM Infection

Variable	Female (n=73)	Male (n=144)	Statistical value	P value	
Age, years [mean (SD)]	68.00 (55.50,76.00)	68.00 (57.00,75.00)	−0.071	0.943	
Underlining diseases					
Previous TB or TB exposure history	26 (35.62)	47 (32.64)	0.192	0.661	
AIDS	5 (6.85)	0 (0.00)	—a	0.004*	
Hypertension	12 (16.44)	12 (8.33)	3.235	0.072	
Diabetes	6 (8.22)	16 (11.11)	0.445	0.505	
Bronchiectasis	37 (50.68)	31 (21.53)	19.140	< 0.001*	
COPD	8 (10.96)	29 (20.14)	2.886	0.089	
Pulmonary aspergillosis	3 (4.11)	9 (6.25)	0.425	0.557	
Respiratory Failure	7 (9.59)	14 (9.72)	0.001	0.975	
Hospital stay (median and IQR)	10.00 (8.00,16.00)	12.00 (7.00,16.75)	−0.296	0.767	
Leucocytes (× 109 per L) (median and IQR)	3.08 (4.64,7.07)	6.775 (5.53,8.71)	−0.256	0.798	
Lymphocytes (× 109 per L) [mean (SD)]	1.53 (0.61)	1.34 (0.58)	2.223	0.027*	
Monocytes (× 109 per L) (median and IQR)	0.57 (0.39,0.81)	0.71 (0.50,0.90)	−2.366	0.019*	
Neutrophils (× 109 per L) (median and IQR)	3.08 (4.64,7.07)	4.54 (6.38,3.47)	−0.249	0.804	
Platelets (× 109 per L) (median and IQR)	265.23 (111.63)	258.93 (101.02)	0.418	0.676	
Albumin (g/L) [mean (SD)]	34.54 (7.10)	33.39 (5.89)	1.262	0.208	
Reactive protein (mg/L) (median and IQR)	18.40 (3.25,73.05)	40.70 (96.65,11.53)	−1.881	0.060	
NLR (median and IQR)	111.49 (185.31,258.76)	0.26 (0.16,0.43)	−1.554	0.120	
MLR [mean (SD)]	0.37 (0.25,0.64)	0.52 (0.38,0.80)	−3.667	<0.001*	
PLR (median and IQR)	111.49 (185.31,258.76)	18.80 (125.53,287.34)	−1.260	0.208	
PNI [mean (SD)]	41.72 (9.14)	39.81 (8.01)	1.578	0.133	
Notes: *was statistically significant (P value < 0.05); aFisher’s exact test was employed. Data are n (%).

Abbreviations: NTM, nontuberculous mycobacterium; SD, standard deviation; TB, tuberculosis; IQR, interquartile range; NLR, neutrophil-to-lymphocyte ratio; MLR, mononuclear-to-lymphocyte ratio; PLR, platelet-to-lymphocyte ratio; PNI, prognostic nutritional index.

Underlying Diseases and Clinical Laboratory Data of Patients with Different NTM Strains

Table 3 presents underlying diseases and clinical laboratory data of patients with different NTM strains. The Mycobacterium avium strain was mainly found in women, and the Mycobacterium abscessus strain in men. Both 13 Mycobacterium avium (34.21%) and 10 Mycobacterium abscessus (33.33%) strains were most common in people with previous TB or TB exposure history. Among the respiratory tract–related diseases, patients with bronchiectasis had the highest isolation rate of Mycobacterium avium strain (21, 55.36%). The laboratory test data of 217 patients with NTM infection were analyzed, and statistically significant differences were found in C-reactive protein levels (P = 0.048).Table 3 Underlying Diseases and Clinical Laboratory Data of Patients with Different NTM Mycobacterial Strains

Variable	Mycobacterium intracellulare (n=109)	Mycobacterium avium (n=38)	Mycobacterium abscessus (n=30)	Statistical value	P value	
Sex				8.494	0.004*	
 Female	35 (32.11)	16 (42.11)	3 (10.00)c			
 Male	74 (67.89)	22 (57.89)	27 (90.00)			
Age, years (median and IQR)	71.00 (60.00,76.00)	62.50 (54.25,76.75)	67.00 (55.75,75.25)	4.577	0.101	
Underlining diseases						
Previous TB or TB exposure history	18 (16.50)	13 (34.21)a	10 (33.33)b	8.845	0.029*	
AIDS	2 (1.83)	0 (0.00)	0 (0.00)	0.705	0.564	
Hypertension	18 (16.51)	3 (7.89)	0 (0.00)	7.247	0.211	
Diabetes	9 (8.26)	2 (5.26)	2 (6.67)	0.294	0.821	
Bronchiectasis	33 (30.28)	21 (55.36)a	6 (20.00)c	12.497	0.004*	
COPD	28 (25.69)	5 (13.16)	4 (13.33)	3.928	0.140	
Pulmonary aspergillosis	5 (4.59)	2 (5.26)	2 (6.67)	0.572	0.899	
Respiratory Failure	11 (10.09)	7 (18.42)	1 (3.33)	3.806	0.130	
Hospital stay (median and IQR)	12.00 (8.00,18.00)	11.00 (8.00,14.00)	12.00 (6.75,17.00)	5.616	0.060	
Leucocytes (× 109 per L) [mean (SD)]	6.94 (5.44,9.52)	6.97 (5.61,8.72)	6.45 (5.03,8.16)	0.212	0.900	
Lymphocytes (× 109 per L) [mean (SD)]	1.42 (0.58)	1.47 (0.68)	1.29 (0.52)	0.761	0.469	
Monocytes (× 109 per L) [mean (SD)]	0.72 (0.35)	0.73 (0.34)	0.70 (0.29)	0.076	0.927	
Neutrophils (× 109 per L) (median and IQR)	4.62 (3.35,6.07)	4.62 (3.21,6.07)	4.10 (2.81,6.49)	0.176	0.916	
Platelets (× 109 per L) (median and IQR)	268.83 (114.15)	262.70 (84.97)	243.71 (77.68)	0.657	0.519	
Albumin (g/L) [mean (SD)]	33.03 (6.48)	34.35 (6.52)	35.10 (6.98)	1.384	0.253	
Reactive protein (mg/L) (median and IQR)	36.80 (9.73,88.18)	50.05 (6.60,126.28)a	37.60 (13.68,95.43)c	0.305	0.048*	
NLR (median and IQR)	3.45 (2.23,6.05)	3.73 (2.32,7.27)	3.92 (2.32,5.92)	0.41	0.955	
MLR (median and IQR)	0.47 (0.35,0.75)	0.61 (0.40,0.73)	0.60 (0.40,0.89)	0.714	0.714	
PLR (median and IQR)	183.15 (128.57,295.39)	194.73 (118.14,281.54)	185.42 (134.16,320.77)	0.065	0.968	
PNI [mean (SD)]	40.06 (7.73)	40.78 (10.02)	41.33 (7.57)	0.317	0.729	
Notes: aP value<0.05, Mycobacterium avium vs Mycobacterium intracellulare; bP value <0.05, Mycobacterium abscessus vs Mycobacterium intracellulare; cP value <0.05, Mycobacterium avium vs Mycobacterium abscessus.Sex and Underlining diseases; Data are n (%). *was statistically significant (P value < 0.05).

Abbreviations: NTM, nontuberculous mycobacterium; SD, standard deviation;TB, tuberculosis; AIDS, Acquired Immune Deficiency Syndrome; COPD, chronic obstructive pulmonary disease; IQR, interquartile range; NLR, neutrophil-to-lymphocyte ratio; MLR, mononuclear-to-lymphocyte ratio; PLR, platelet-to-lymphocyte ratio; PNI, prognostic nutritional index.

Clinical Laboratory Data of Patients with NTM Pulmonary Disease Combined with Other Respiratory Diseases

Table 4 presents clinical laboratory data of patients with NTM pulmonary disease combined with previous TB or TB exposure history. The mean age of patients was higher in those with TB or TB exposure history than in those without TB history (P = 0.001). NTM pulmonary disease combined with previous TB or TB exposure history were susceptible to bronchiectasis and COPD (P < 0.05).Table 4 Clinical Laboratory Data of Patients with NTM Pulmonary Disease Combined with Other Respiratory Diseases

Variable	Patients with Previous
TB or TB Exposure History (n=73)	Patients without Previous
TB or TB Exposure History (n=144)	Statistical value	P value	
Age, years [mean (SD)]	66.81 (15.09)	53.73 (15.92)	−3.600	0.001*	
Bronchiectasis	33 (45.20)	25 (17.40)	19.178	< 0.001*	
COPD	18 (24.70)	19 (13.20)	4.501	0.034*	
Pulmonary aspergillosis	7 (9.60)	5 (3.50)	3.469	0.063	
Respiratory Failure	11 (5.61)	10 (18.42)	3.658	0.056	
Hospital stay [mean (SD)]	11.64 (5.61)	13.43 (6.41)	−1.255	0.214	
Leucocytes (× 109 per L) [mean (SD)]	7.01 (2.88)	7.63 (3.28)	−0.832	0.408	
Lymphocytes (× 109 per L) [mean (SD)]	1.47 (0.56)	1.41 (0.58)	−0.406	0.686	
Monocytes (× 109 per L) [mean (SD)]	0.64 (0.29)	0.73 (0.310)	−1.253	0.218	
Neutrophils (× 109 per L) [mean (SD)]	5.26 (3.10)	4.75 (2.82)	−0.712	0.479	
Platelets (× 109 per L) [mean (SD)]	244.73 (81.80)	272.28 (98.81)	−1.310	0.195	
Albumin (g/L) [mean (SD)]	32.69 (7.46)	36.97 (9.33)	2.165	0.034*	
C-reactive protein (mg/L) [mean (SD)]	55.98 (62.04)	72.81 (68.30)	0.604	0.311	
NLR (median and IQR)	2.68 (1.75,4.81)	3.34 (2.06,6.13)	−0.730	0.235	
MLR (median and IQR)	0.5 (0.35,0.74)	0.39 (0.27,0.63)	−1.478	0.071	
PLR (median and IQR)	156.71 (117.64,224.27)	179.74 (130.92,347.60)	−1.074	0.143	
PNI (median and IQR)	39.30 (32.78,46.78)	46.15 (37.40,50.70)	−2.023	0.021*	
Note: *was statistically significant (P value < 0.05).

Abbreviations: COPD, chronic obstructive pulmonary disease; NTM, nontuberculous mycobacterium; SD, standard deviation;TB, tuberculosis; IQR, interquartile range; NLR, neutrophil-to-lymphocyte ratio; MLR, mononuclear-to-lymphocyte ratio; PLR, platelet-to-lymphocyte ratio; PNI, prognostic nutritional index.

The serum ALB levels were lower in patients with TB or TB exposure history than in those without TB history (P = 0.034). The PNI was lower in patients with TB or TB exposure history than in those without TB history (P = 0.021).

Treatment Outcome Analyses of Patients with Different NTM Strains

Table 5 presents Treatment outcome analyses of patients with different NTM strains. In the hospital medical records system, for 109 patients with pulmonary Mycobacterium intracellulare disease, only 56 patients had a complete treatment record of 6 months or more. In these records, 14 patients had achieved effective results. For the treatment of 38 patients with pulmonary Mycobacterium avium disease, only 8 patients had a complete treatment record of 6 months or more. In these records, three patients had achieved effective results. For patients with pulmonary Mycobacterium abscessus disease, in 30 cases, 10 patients had a complete treatment record of 6 months or more. Based on these records, we can confirm that five of these patients had achieved effective results. NTM antibiotics mainly include: Rifampicin (RIF), Ethambutol (EMB), Clarithromycin (CLR), Levofloxacin (LEV), Moxifloxacin (MXF), Azithromycin (AZM), Amikacin (AMK), Linezolid (LZD), Cefoxitin (FOX), Imipenem-cilastatin (IMI). The antimicrobial treatment regimen for pulmonary Mycobacterium intracellulare disease primarily consisted of combinations such as RIF and EMB and CLR and LEV, RIF and EMB and CLR and MXF, RIF and EMB and LEV and AZM, RIF and EMB and CLR and AMK, RIF and EMB and MXF and AZM, RIF and EMB and LEV and DA, RIF and EMB and AMK and AZM, RIF and CLR and MXF and AMK. The antimicrobial treatment regimen for pulmonary Mycobacterium avium disease mainly included RIF and EMB and CLR and LEV, RIF and EMB and CLR and AMK. The antimicrobial treatment regimen for pulmonary Mycobacterium abscessus disease consisted mainly include RIF and EMB and CLR and LEV, RIF and AZM and AMK and FOX. In this study, 74 patients were treated with personalized chemotherapy, with 18 overall regimens. The response rates were 25% (Mycobacterium intracellulare), 37.50% (Mycobacterium avium), and 50% (Mycobacterium abscessus). The overall treatment effect was not ideal, at 29.73%.Table 5 Treatment Outcome Analyses of Patients with Different NTM Strains

Treatment Regimens	Mycobacterium intracellulare (n=56)	Mycobacterium avium (n=8)	Mycobacterium abscessus (n=10)	
Treated Patients	Effective Treatment	Treated Patients	Effective Treatment	Treated Patients	Effective Treatment	
RIF and EMB and CLR and LEVs	18 (32.14)	4 (22.22)	5 (62.50)	3 (60.00)	2 (20.00)	—	
RIF and EMB and CLR and MXF	9 (16.07)	3 (33.33)	—	—	—	—	
RIF and EMB and LEV and AZM	9 (16.07)	3 (33.33)	—	—	1 (10.00)	—	
RIF and EMB and CLR and AMK	4 (7.14)	1 (25.00)	2 (25.00)	—	—	—	
RIF and EMB and MXF and AZM	4 (7.14)	—	—	—	—	—	
RIF and EMB and LEV and DA	3 (5.36)	—	—	—	—	—	
RIF and EMB and AMK and AZM	3 (5.36)	1 (33.33)	1 (12.50)	—	—	—	
RIF and CLR and MXF and AMK	2 (3.57)	1 (50.00)	—	—	—	—	
RIF and EMB and LEV and LZD	1 (1.79)	—	—	—	—	—	
EMB and AZM and MXF and AMK	1 (1.79)	1(100.00)	—	—	—	—	
EMB and AZM and LEV and AMK	1 (1.79)	—	—	—	—	—	
RIF and LZD and CLR and AMK	1 (1.79)	—	—	—	—	—	
AMK and AZM and FOX and IMI	—	—	—	—	1 (10.00)	1 (100.00)	
RIF and AMK and AZM and MXF	—	—	—	—	1 (10.00)	1 (100.00)	
RIF and AMK and AZM and FOX	—	—	—	—	1 (10.00)	1 (100.00)	
LZD and CLR and MXF and AMK	—	—	—	—	1 (10.00)	—	
MXF and AZM and LZD and AMK	—	—	—	—	1 (10.00)	1 (100.00)	
RIF and AZM and AMK and FOX	—	—	—	—	2 (20.00)	1 (50.00)	
Notes: Data are n (%). —, without treatment outcome.

Abbreviations: RIF, Rifampicin; EMB, Ethambutol; CLR, Clarithromycin; LEV, Levofloxacin; MXF, Moxifloxacin; AZM, Azithromycin; AMK, Amikacin; LZD, Linezolid; FOX, Cefoxitin; IMI, imipenem-cilastatin.

Discussion

The colonization and incidence rate of NTM pulmonary disease vary globally, and the global burden of NTM pulmonary disease is increasing.15 Fuyang is located in the northwest of Anhui Province and the south of Huaibei Plain. It is the most populous city in Anhui Province, China. Its transportation is developed, and its population density is relatively large, with a relatively large proportion of the rural population. This was an extended descriptive study on the epidemiology and clinical characteristics of patients with NTM pulmonary disease, which included data on 234 patients from the Fuyang district of China between January 2018 and May 2023.

A few studies demonstrated that the incidence of NTM infection varied among different age groups and between sexes.16,17 In this study, the incidence rate differed among different age groups, and the highest incidence rate was 58.12% between the age group of 60 and 70 years. Most patients were men, with a mean age of 63.72 years. This suggested that NTM pulmonary incidence was more common in men in northwest Anhui, China, which was in contrast to previous 16 older menopausal women. The reason should be related to the geographical18 and racial19 differences in the distribution of NTM. Agricultural workers accounted for 87.18% of the patients included. These workers exhibited characteristics such as strong mobility, significant changes in the living environment and lifestyle, heavy workloads, and overwork, making them more susceptible to NTM infections. Moreover, 73 (31.20%) patients had previous TB or TB history and bronchiectasis. NTM pulmonary disease is closely related to bronchiectasis; hence, NTM infection is common in patients with bronchiectasis.20 However, it is still unclear whether NTM is the cause of bronchiectasis.21 Distinguishing between NTM and Mtb based on cavity characteristics is difficult because of frequent simultaneous infection of NTM and Mtb. However, multiple cavities indicate severe damage to the lung tissue structure and susceptibility to NTM infection.

The platelet count and hemoglobin level were below the normal range (125.00–350.00 × 109/L and 115.00–150.00 g/L) in many patients. The ALB level was below the normal range (40.00–55.00 g/L) in many patients. Hemoglobin and ALB levels reflect the nutritional status of patients. The findings indicated that patients with NTM infection had poor nutritional status, emphasizing the importance of nutritional support as a crucial aspect of treatment. Of the 217 patients tested for the C-reactive protein level, most had levels above the normal range (0–6.00 mg/L). The C-reactive protein level was found to be higher in Mycobacterium avium infection than in Mycobacterium intracellulare versus Mycobacterium abscessus. The main species of infection differed between men and women.16 The underlying disease and clinical laboratory findings for the top three NTM strains in the region differed: Women were found to be more affected by Mycobacterium avium infection, and men by Mycobacterium abscessus infection.

Among the 234 patients included in this study, 266 NTM strains were identified. Mixed NTM infection accounted for 29 (12.39%) patients. The mixed infection pattern of different NTM strains should be of clinical concern because NTM is highly resistant to first-line anti-TB drugs, and the drug susceptibility results of different strains are quite different. Among the 234 patients with NTM disease, 10 types of NTM species were detected. Multicenter studies in China showed that the main NTM strain was Mycobacterium intracellulare in the east, Mycobacterium abscessus in the south,19 and M. avium in the north,19,22 but the data regarding the west are lacking. These data were consistent with those reported in previous studies that Mycobacterium intracellulare was the most common NTM strain in China.11 Mycobacterium intracellulare and Mycobacterium avium strains were predominant in this area.

The study hospital served as a designated infectious disease hospital. Most of the patients with TB in Fuyang were treated in this hospital. Mandatory registration of NTM is conducted in Fuyang; therefore, a comparison of data of TB/NTM co-infections with NTM figures is possible. TB is a chronic disease that occurs due to poor socioeconomic conditions, and factors such as malnutrition and low immunity increase the incidence of NTM and Mtb co-infection.10,23,24 In this study, the mean age of patients was higher in those with TB or TB exposure history than in those without TB history (P = 0.001). Other studies on the prevalence of NTM isolation found that indeed increasing age in the incidence of NTM pulmonary incidence was associated with an increased risk of NTM infection.25 NTM pulmonary disease combined with previous TB or TB exposure history were susceptible to bronchiectasis and COPD (P < 0.05). This could be associated with the lung damage and inflammatory response triggered by tuberculosis. The prolonged effects on lung tissue result in heightened lung sensitivity, making individuals more prone to developing other chronic pulmonary disorders. The serum ALB level was lower in patients with TB or TB exposure history than in those without TB history (P = 0.034). The PNI was lower in patients with TB or TB exposure history than in those without TB history (P = 0.021). The results indicated that patients with NTM with TB had a worse nutritional status and might need nutritional support.

The NTM pulmonary disease drug resistance problem is serious, and the personalized chemotherapy regimen is used in clinical practice. A review of positive NTM reports from 2006 to 2017 detected 183 patients, and only 22.4% were treated, with unsatisfactory results and 6 deaths.26 NTM lung disease drug resistance is complex and difficult to treat.27 In this study, 74 patients, with 18 options, had a response rate of 29.73%. Suggesting that the anti-NTM drugs have a limited effect. Perhaps because this study is a retrospective study of hospital system, the number of cases with complete treatment plan was small and the observation time with treatment was short. There are numerous reasons for the poor clinical treatment effect of patients with NTM lung disease, The main reasons include: (1) many adverse drug reactions: the combination of multiple drugs in the treatment of NTM lung disease, In particular, the combination of rifampin and fluoroquinolones, Severe drug toxicity and side effects, Easy to cause a variety of adverse reactions, Related adverse effects include liver function damage, gastrointestinal reactions, These adverse effects have prevented some patients from adhering to treatment, Unable to follow the principles of treatment recommended by experts; (2) a relatively slow disease progression in patients with NTM pulmonary disease, While the current lack of specific treatment options, The clinical efficacy of the treatment plan formulated based on the actual situation of the patient is not exact, Many patients have low confidence in their treatment, Inability to adhere to long-term medication, Non-compliant medication problems, May lead to treatment interruption or not following expert opinion issues, Affect the treatment effect. NTM pulmonary disease treatment is difficult, need a long time continuous treatment, at least a year, otherwise, repeated, as the disease delay, serious damage to the lung parenchyma, increase the difficulty of clinical treatment and control, this study only 6 months treatment effect, extend the treatment time may get better treatment effect.

Conclusion

The main pathogens causing NTM pulmonary disease in the Fuyang area from 2018 to 2023 were Mycobacterium intracellulare and Mycobacterium avium. Patients were mostly complicated with TB, bronchiectasis, and COPD, and laboratory tests showed low hemoglobin and ALB levels. However, the samples selected in this study were only from hospitalized patients, and the sample size was small. It may be more reasonable to evaluate the treatment effect and immune state by using a prospective study method. Future studies should focus on comprehensively collecting patient data and conducting more specialized research.

Data Sharing Statement

The datasets created and examined in the present study are available from the corresponding author upon reasonable request.

Ethical Approval

The research adhered to the principles outlined in the Declaration of Helsinki and received approval from the Ethics Committee at the Second People’s Hospital of Fuyang City, identified by the approval code: 2018fyey31. Given the study’s retrospective approach, obtaining informed consent was not necessary, a decision that was ratified by the Ethics Committee of the Second People’s Hospital of Fuyang City. All patient data were managed with strict adherence to ethical guidelines, guaranteeing both confidentiality and anonymity. No personal identifiers were utilized during the analysis or when presenting the study findings.

Author Contributions

All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.

Disclosure

The authors declare no conflicts of interest in this work.
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