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. 2020 Mar 1;75(3):492-507.
doi: 10.1093/jac/dkz464.

Prevalence and outcome of bloodstream infections due to third-generation cephalosporin-resistant Enterobacteriaceae in sub-Saharan Africa: a systematic review

Affiliations

Prevalence and outcome of bloodstream infections due to third-generation cephalosporin-resistant Enterobacteriaceae in sub-Saharan Africa: a systematic review

Rebecca Lester et al. J Antimicrob Chemother. .

Abstract

Background: The prevalence of bacterial bloodstream infections (BSIs) in sub-Saharan Africa (sSA) is high and antimicrobial resistance is likely to increase mortality from these infections. Third-generation cephalosporin-resistant (3GC-R) Enterobacteriaceae are of particular concern, given the widespread reliance on ceftriaxone for management of sepsis in Africa.

Objectives: Reviewing studies from sSA, we aimed to describe the prevalence of 3GC resistance in Escherichia coli, Klebsiella and Salmonella BSIs and the in-hospital mortality from 3GC-R BSIs.

Methods: We systematically reviewed studies reporting 3GC susceptibility testing of E. coli, Klebsiella and Salmonella BSI. We searched PubMed and Scopus from January 1990 to September 2019 for primary data reporting 3GC susceptibility testing of Enterobacteriaceae associated with BSI in sSA and studies reporting mortality from 3GC-R BSI. 3GC-R was defined as phenotypic resistance to ceftriaxone, cefotaxime or ceftazidime. Outcomes were reported as median prevalence of 3GC resistance for each pathogen.

Results: We identified 40 articles, including 7 reporting mortality. Median prevalence of 3GC resistance in E. coli was 18.4% (IQR 10.5 to 35.2) from 20 studies and in Klebsiella spp. was 54.4% (IQR 24.3 to 81.2) from 28 studies. Amongst non-typhoidal salmonellae, 3GC resistance was 1.9% (IQR 0 to 6.1) from 12 studies. A pooled mortality estimate was prohibited by heterogeneity.

Conclusions: Levels of 3GC resistance amongst bloodstream Enterobacteriaceae in sSA are high, yet the mortality burden is unknown. The lack of clinical outcome data from drug-resistant infections in Africa represents a major knowledge gap and future work must link laboratory surveillance to clinical data.

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Figures

Figure 1.
Figure 1.
Study selection.
Figure 2.
Figure 2.
Geographical location of studies reporting proportions of 3GC resistance amongst E. coli, Klebsiella spp. and NTS. Numbers in country indicate the number of studies included in the review for each country. This figure appears in colour in the online version of JAC and in black and white in the print version of JAC.
Figure 3.
Figure 3.
Proportion of 3GC resistance in 2621 E. coli BSI isolates from 20 studies.
Figure 4.
Figure 4.
Proportion of 3GC resistance in 5688 Klebsiella spp. BSI isolates from 28 studies.
Figure 5.
Figure 5.
Proportion of 3GC resistance in 2567 NTS BSI isolates from 12 studies.
Figure 6.
Figure 6.
Results of risk-of-bias assessment. Domain 1: are the characteristics of participants adequately described? Domain 2: are the inclusion criteria explicit and appropriate? Domain 3: are the criteria for blood culture sampling explicit? Domain 4: are the blood culture methods precise and reported? Domain 5: are the AST methods precise and reported? This figure appears in colour in the online version of JAC and in black and white in the print version of JAC.

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