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Antibiotic treatment for non-tuberculous mycobacteria lung infection in people with cystic fibrosis

Jahnke N, Waters V, Ratjen F, Smith S, Hambleton IR, Scharf N

The Cochrane database of systematic reviews, 2025

11 participants · 2 citations

Abstract

Rationale: Cystic fibrosis (CF) is a common genetic condition in which progressive lung disease leads to morbidity and mortality. Non-tuberculous mycobacteria (NTM) are mycobacteria, other than those in the Mycobacterium tuberculosis complex, and are commonly found in the environment. NTM pulmonary infections affect a significant proportion of people with CF worldwide, which may be associated with a more rapid decline in lung function and even death in certain circumstances. Although there are guidelines for the antimicrobial treatment of NTM lung disease, there is no specific evidence from studies of people with CF to inform recommendations for their treatment. It is not clear which antibiotic regimen may be the most effective in the treatment of people with CF. This is an update of a previous review.

Objectives: To compare antibiotic treatment to no antibiotic treatment, or to compare different combinations of antibiotic treatment, for suppressing or eradicating non-tuberculous mycobacteria (NTM) lung infections in people with cystic fibrosis (CF).

Search methods: We searched Cochrane's Cystic Fibrosis Trials Register, online databases (MEDLINE, Embase and PubMed) and online trials registries (www.

Clinicaltrials: gov and the World Health Organization International Clinical Trials Registry). We also searched the reference lists of included studies and relevant reviews. The date of the last search was 14 October 2024.

Eligibility criteria: Randomised controlled trials…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 11 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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