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Meta-Analysis
. 2025 Jul 10;25(1):906.
doi: 10.1186/s12879-025-11149-1.

Prevalence of methicillin-resistant coagulase-negative staphylococci in Africa: a systematic review and meta-analysis

Affiliations
Meta-Analysis

Prevalence of methicillin-resistant coagulase-negative staphylococci in Africa: a systematic review and meta-analysis

Tomiwa Olumide Adesoji et al. BMC Infect Dis. .

Abstract

Coagulase-negative staphylococci (CoNS) represent a diverse group of opportunistic pathogens associated with human and animal infections. The burden of infectious diseases attributed to antibiotic-resistant CoNS, particularly methicillin-resistant CoNS (MR-CoNS), is a global public health concern. However, there is limited data on the epidemiology of MR-CoNS in Africa. This systematic review provides insights on MR-CoNS from human and non-human sources in Africa, the methicillin-resistance gene determinants and the associated mobile genetic elements. The review retrieved articles from four electronic databases: PubMed, Scopus, Web of Science, and Google Scholar, using specific keywords. This study was carried out until 20 November 2024. Articles were screened and data was extracted and analyzed following the PRISMA guidelines. The meta-analysis used the binary random effects model with a 95% confidence interval. Overall, 65 articles from 16 African countries were included in the study. The pooled prevalence rates for CoNS and MR-CoNS in Africa were 27% and 36%, respectively. The review identified 36 species of CoNS from human and non-human sources. In addition, 20 (31%) studies each reported CoNS and MR-CoNS from human and animal infections. The most prevalent species of MR-CoNS included Staphylococcus epidermidis, Staphylococcus haemolyticus, and Mammaliicoccus sciuri. The African MR-CoNS harboured different staphylococcal chromosome cassette mec (SCCmec) elements (types I, II, III, IV, V, VI, VIII, and a SCCmec-mecC (hybrid), and the most common SCCmec element was the SCCmec type IV. The findings highlight the paucity of data on the epidemiology of MR-CoNS in Africa. The identification of MR-CoNS from human and animal infections indicates the need for a detailed characterization using molecular methods. This strategy will provide data to healthcare practitioners and policymakers to develop effective measures to combat antimicrobial resistance in Africa.

Keywords: Coagulase-negative staphylococci; Meta-analysis; Methicillin resistance; SCCmec.

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Conflict of interest statement

Declarations. Ethics approval and consent to participate: Not applicable. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
PRISMA flowchart of the systematic literature search
Fig. 2
Fig. 2
Summary of number of articles recovered by year
Fig. 3
Fig. 3
Map of Africa showing countries from which eligible studies were conducted and the number of studies
Fig. 4
Fig. 4
The prevalence of CoNS recovered from various sources in Africa. Legend: S. sciuri*: renamed M. sciuri; S. lentus*: renamed M. lentus; S. vitulinus*: renamed M. vitulinus
Fig. 5
Fig. 5
The prevalence of MR-CoNS recovered from various sources in Africa. Legend: S. sciuri: renamed M. sciuri; S. lentus: renamed M. lentus; S. vitulinus: renamed M. vitulinus
Fig. 6
Fig. 6
A Forest plot with the adjusted average prevalence of CoNS from various samples in Africa (B) Funnel plot of CoNS from various samples in Africa. Legend: Random effects mode (95% CI: -4.44856 – 4.632513; I2 = 97.7%; p < 0.0001). X-axis is the proportion of CoNS reported in individual studies as listed along the Y-axis, with the range of proportion in the 95% confidence interval (CI). I2 = heterogenicity, p = p-value. The estimate of prevalence was calculated by pooling 52 studies
Fig. 7
Fig. 7
A Forest plot with the adjusted average prevalence of MR-CoNS from various samples in Africa (B) Funnel plot of MR-CoNS from various samples in Africa. Legend: Random effects mode (95% CI: -0.51030 – 3.03526; I2 = 91.1%; p < 0.0001). X-axis is the proportion of MR-CoNS reported in individual studies as listed along the Y-axis, with the range of proportion in the 95% confidence interval (CI). I2 = heterogenicity, p = p-value. The estimate of prevalence was calculated by pooling 61 studies

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