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. 2024 Feb 19:15:1321273.
doi: 10.3389/fmicb.2024.1321273. eCollection 2024.

Prevalence of Mycobacterium kansasii in clinical and environmental isolates, a systematic review and meta-analysis

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Prevalence of Mycobacterium kansasii in clinical and environmental isolates, a systematic review and meta-analysis

Negar Narimisa et al. Front Microbiol. .

Abstract

Background: Mycobacterium kansasii infection is one of the most common causes of non-tuberculosis mycobacterial (NTM) disease worldwide. However, accurate information on the global prevalence of this bacterium is lacking. Therefore, this study was conducted to investigate the prevalence of M. kansasii in clinical and environmental isolates.

Methods: Databases, including PubMed, Scopus, and the Web of Science, were utilized to gather articles on the prevalence of M. kansasii in clinical and environmental isolates. The collected data were analyzed using Comprehensive Meta-Analysis software.

Results: A total of 118 and 16 studies met the inclusion criteria and were used to analyze the prevalence of M. kansasii in clinical and environmental isolates, respectively. The prevalence of M. kansasii in NTM and environmental isolates were 9.4 and 5.8%, respectively. Subsequent analysis showed an increasing prevalence of M. kansasii over the years. Additionally, the results indicated a significant difference in the prevalence of this bacteria among different regions.

Conclusion: The relatively high prevalence of M. kansasii among NTM isolates suggests the need for further implementation of infection control strategies. It is also important to establish appropriate diagnostic criteria and management guidelines for screening this microorganism in environmental samples in order to prevent its spread, given its high prevalence in environmental isolates.

Keywords: CMA; Mycobacterium kansasii; NTM; meta-analysis; prevalence.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
The study prisma flow diagram.
Figure 2
Figure 2
Funnel plots for identification of publication bias in clinical and environmental isolates.
Figure 3
Figure 3
Forest plot showing the prevalence of M. kansasii in total clinical isolates.
Figure 4
Figure 4
Forest plot showing the prevalence of M. kansasii in environmental isolates.
Figure 5
Figure 5
Forest plot showing the prevalence of M. kansasii in different environmental isolates.
Figure 6
Figure 6
Forest plot showing the prevalence of M. kansasii in NTM isolates for different continents.
Figure 7
Figure 7
Forest plot showing the prevalence of M. kansasii in NTM isolates for different countries.
Figure 8
Figure 8
Forest plot showing the prevalence of M. kansasii in NTM isolates in four periods.
Figure 9
Figure 9
Forest plot showing the prevalence of M. kansasii in NTM isolates for two detection methods.
Figure 10
Figure 10
Forest plot showing the prevalence of M. kansasii in water sample in different continents.
Figure 11
Figure 11
Forest plot showing the prevalence of M. kansasii in water sample in different countries.
Figure 12
Figure 12
Forest plot showing the prevalence of M. kansasii in water sample in different locations.

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