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Global burden of nontuberculous mycobacteria in the cystic fibrosis population: a systematic review and meta-analysis

Miguel D. Prieto, Mosaab E. Alam, Alessandro N. Franciosi, Bradley S. Quon
ERJ Open Research 2023 9: 00336-2022; DOI: 10.1183/23120541.00336-2022
Miguel D. Prieto
1Centre for Heart Lung Innovation, Vancouver, BC, Canada
2Dept of Medicine, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
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  • ORCID record for Miguel D. Prieto
Mosaab E. Alam
3Dept of Infectious Diseases, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
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Alessandro N. Franciosi
1Centre for Heart Lung Innovation, Vancouver, BC, Canada
2Dept of Medicine, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
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Bradley S. Quon
1Centre for Heart Lung Innovation, Vancouver, BC, Canada
2Dept of Medicine, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
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  • For correspondence: bradley.quon@hli.ubc.ca
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  • FIGURE 1
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    FIGURE 1

    PRISMA flowchart summarising identification of reports, retrieval of manuscripts and screening steps. CF: cystic fibrosis.

  • FIGURE 2
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    FIGURE 2

    Summary plots of quality appraisal of studies included in the systematic review using the Joanna Briggs Institute tool for systematic reviews of prevalence. Domain 5 applies to survey studies and was not evaluated. a) Summary of all included registry reports (n=44). b) Summary of all included non-registry reports (n=51). Overall risk of bias (ROB) determined as specified in methods.

  • FIGURE 3
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    FIGURE 3

    Random effects meta-analysis of LOGIT transformed nontuberculous mycobacterium infection prevalence (annual and point) in the cystic fibrosis population (n=21). Includes last registry year that reported raw numbers for cases and evaluated patients. White crosses in forest plot represent the whiskers of narrow confidence intervals.

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    FIGURE 4

    Meta-analyses of a) Mycobacterium abscessus complex and b) Mycobacterium avium complex infection in the cystic fibrosis population including studies that reported point and annual prevalence. White crosses in forest plot represent the whiskers of narrow confidence intervals.

Tables

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  • TABLE 1

    Results of meta-regression for nontuberculous mycobacteria infection point prevalence

    CoefficientsLOGIT-estimatese95% CIp-value
    Intercept−2.8840.373−3.615– −2.153<0.01
    Design (Ref.: Cross-sectional: registry)
     Cross-sectional: non-registry−0.2900.893−2.040–1.4610.746
     Cohort−0.2680.726−1.691–1.1550.712
    Sample size (Ref.: >3000)
     1000–30000.9780.652−0.299–2.2560.133
     <10001.6710.6820.335–3.0070.014
    Region (Ref.: North American)
     European region−0.4240.396−1.201–0.3530.285
     Other regions#−1.3020.501−2.284– −0.3200.009
    Reporting year (Ref.: 2010–2019)
     2000–20090.4120.542−0.651–1.4740.447
     Before year 2000−0.6520.490−1.612–0.3080.183

    LOGIT-estimates are back-transformed to proportions through the formula ecoef/(1+ecoef). #: included Africa, Latin America and the Caribbean, and the Middle East.

    Supplementary Materials

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      Supplementary methods, figures and tables 00336-2022.supplement

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    Global burden of nontuberculous mycobacteria in the cystic fibrosis population: a systematic review and meta-analysis
    Miguel D. Prieto, Mosaab E. Alam, Alessandro N. Franciosi, Bradley S. Quon
    ERJ Open Research Jan 2023, 9 (1) 00336-2022; DOI: 10.1183/23120541.00336-2022

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    Global burden of nontuberculous mycobacteria in the cystic fibrosis population: a systematic review and meta-analysis
    Miguel D. Prieto, Mosaab E. Alam, Alessandro N. Franciosi, Bradley S. Quon
    ERJ Open Research Jan 2023, 9 (1) 00336-2022; DOI: 10.1183/23120541.00336-2022
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