Evidence map›Paper›PMID 40045108›Full record

ArticleAMB Express2025

Clinical correlation study of non-tuberculous mycobacterial isolates from bronchoalveolar lavage fluid.

Hongye Ning, Guiqing He, Yanhong Mei, Jiandan Yu, Jichan Shi, Xiaoya Cui, Chaochao Qiu, Xiangao Jiang

Abstract read
In one paragraph

Article in AMB Express, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Hongye NingDepartment of Infection, Wenzhou Central Hospital, Dingli Clinical College of Wenzhou Medical University, No.252, Baili East Road, Lucheng District, Wenzhou, Zhejiang, China.
Guiqing HeDepartment of Infection, Wenzhou Central Hospital, Dingli Clinical College of Wenzhou Medical University, No.252, Baili East Road, Lucheng District, Wenzhou, Zhejiang, China.
Yanhong MeiDepartment of Infection, Wenzhou Central Hospital, Dingli Clinical College of Wenzhou Medical University, No.252, Baili East Road, Lucheng District, Wenzhou, Zhejiang, China.
Jiandan YuDepartment of Infection, Wenzhou Central Hospital, Dingli Clinical College of Wenzhou Medical University, No.252, Baili East Road, Lucheng District, Wenzhou, Zhejiang, China.
Jichan ShiDepartment of Infection, Wenzhou Central Hospital, Dingli Clinical College of Wenzhou Medical University, No.252, Baili East Road, Lucheng District, Wenzhou, Zhejiang, China.
Xiaoya CuiDepartment of Infection, Wenzhou Central Hospital, Dingli Clinical College of Wenzhou Medical University, No.252, Baili East Road, Lucheng District, Wenzhou, Zhejiang, China.
Chaochao QiuDepartment of Infection, Wenzhou Central Hospital, Dingli Clinical College of Wenzhou Medical University, No.252, Baili East Road, Lucheng District, Wenzhou, Zhejiang, China.
Xiangao JiangDepartment of Infection, Wenzhou Central Hospital, Dingli Clinical College of Wenzhou Medical University, No.252, Baili East Road, Lucheng District, Wenzhou, Zhejiang, China. ninghy9690@163.com.ORCID http://orcid.org/0009-0005-9631-0015

Funding

Wenzhou Science and Technology Bureau Basic Public Welfare Project Y20220352
6 · The paper itself

Abstract

Non-tuberculous mycobacterial (NTM) infections have emerged as a significant public health concern, posing a threat to human health. This study aims to identify various NTM strains from bronchoalveolar lavage fluid, assess their drug resistance profiles, and investigate the risk factors associated with NTM disease. Gene chip technology was used to identify NTM strains. The broth microdilution method assessed the drug sensitivity of isolated NTM pathogenic bacteria, determining their minimum inhibitory concentrations (MICs). Logistic regression analysis identified potential risk factors for NTM disease. Results showed the slow-growing NTM strains isolated from bronchoalveolar lavage fluid to be predominantly Mycobacterium avium and Mycobacterium intracellulare, accounting for 32.05% and 29.49% of the isolates, respectively. The rapidly growing NTM strains were mainly Mycobacterium chelonae and Mycobacterium abscessus, each constituting 25.64% of the isolates. Mycobacterium avium was found to be sensitive to clarithromycin, while linezolid demonstrated high antibacterial efficacy against Mycobacterium intracellulare. In drug susceptibility testing of Mycobacterium chelonae and Mycobacterium abscessus, amikacin exhibited the highest sensitivity, followed by clarithromycin. For patients with NTM-positive cultures, the risk factors for NTM lung disease included age (45-60 years, > 60 years), a smoking history exceeding 10 years, chronic obstructive pulmonary disease (COPD), bronchiectasis, immunocompromised status, and the presence of thin-walled pulmonary cavities. Collectively, this study elucidates the distribution of NTM strains, their drug susceptibility profiles, and key risk factors for NTM lung disease, highlighting the need for proactive screening, early intervention, and targeted preventive strategies to improve diagnosis and optimize treatment outcomes.

Indexed as

InfectionLungsNon-tuberculous mycobacteriaRisk factorsTuberculosis

Identifiers

PMID40045108
PMCPMC11883075

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.