Article ; Online: A narrative review of nontuberculous mycobacterial pulmonary disease: microbiology, epidemiology, diagnosis, and management challenges.
Expert review of respiratory medicine
2023 Volume 17, Issue 11, Page(s) 973–988
Abstract: Introduction: Nontuberculous mycobacteria (NTM) are a diverse group of mycobacterial species that are ubiquitous in the environment. They are opportunistic pathogens that can cause a range of diseases, especially in individuals with underlying ... ...
Abstract | Introduction: Nontuberculous mycobacteria (NTM) are a diverse group of mycobacterial species that are ubiquitous in the environment. They are opportunistic pathogens that can cause a range of diseases, especially in individuals with underlying structural lung disease or compromised immune systems. Areas covered: This paper provides an in-depth analysis of NTM infections, including microbiology, environmental sources and transmission pathways, risk factors for disease, epidemiology, clinical manifestations and diagnostic approaches, guideline-based treatment recommendations, drugs under development, and management challenges. Expert opinion: Future approaches to the management of NTM pulmonary disease will require therapies that are well tolerated, can be taken for a shorter time period and perhaps less frequently, have few drug-drug interactions, and are active against the various strains of pathogens. As the numbers of infections increase, such therapies will be welcomed by clinicians and patients. |
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MeSH term(s) | Humans ; Mycobacterium Infections, Nontuberculous/diagnosis ; Mycobacterium Infections, Nontuberculous/drug therapy ; Mycobacterium Infections, Nontuberculous/epidemiology ; Nontuberculous Mycobacteria ; Lung/microbiology ; Lung Diseases/diagnosis ; Lung Diseases/epidemiology ; Lung Diseases/therapy ; Risk Factors |
Language | English |
Publishing date | 2023-12-26 |
Publishing country | England |
Document type | Journal Article ; Review |
ZDB-ID | 2479146-5 |
ISSN | 1747-6356 ; 1747-6348 |
ISSN (online) | 1747-6356 |
ISSN | 1747-6348 |
DOI | 10.1080/17476348.2023.2283135 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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