Published March 10, 2023 | Version v1

Global burden of non-tuberculous mycobacteria in the cystic fibrosis population: A systematic review and meta-analysis

  • 1. University of British Columbia

Description

Background: People living with cystic fibrosis have an increased risk of lung infection with non-tuberculous mycobacteria (NTM), which is reportedly increasing. We conducted a systematic review of the literature to estimate the burden (prevalence and incidence) of non-tuberculous mycobacteria in the cystic fibrosis population. 

Methods: Electronic databases, registries, and grey literature sources were searched for cohort and cross-sectional studies reporting epidemiological measures (incidence and prevalence) of NTM infection or NTM pulmonary disease (NTM-PD) in cystic fibrosis. The last search was conducted in September 2021; we included reports since database creation and registry reports published since 2010. The methodological quality of studies was appraised with the Joanna Briggs Institute tool. A random-effects meta-analysis was conducted to summarize the prevalence of NTM infection, and the remaining results are presented in a narrative synthesis. 

Results: Ninety-five studies were included in this review. All 95 studies reported on NTM infection, and 14 of these also reported on NTM-PD. The pooled estimate for the point prevalence of NTM infection was 7.9% (CI 95%, 5.1–12.0%). In meta-regression, sample size and geographical location of the study modified the estimate. Longitudinal analysis of registry reports showed an increasing trend in NTM infection prevalence between 2010 and 2019. 

Conclusions: The overall prevalence of NTM infection in CF is 7.9% and is increasing over time based on international registry reports. Future studies should report screening frequency, microbial identification methods, and incidence rates of progression from NTM infection to pulmonary disease.

Notes

Requires R version 4.1 or higher and a spreadsheet program (MS Excel) to explore the collected datasets. The R studio IDE was used to conduct R analyses and document procedures. The list of packages (with versions) necessary to reproduce the results is specified inside the scripts. 

Funding provided by: Michael Smith Foundation for Health Research
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100000245
Award Number:

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Additional details

Related works

Is cited by
10.1183/23120541.00336-2022 (DOI)
Is derived from
10.5281/zenodo.7255648 (DOI)