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Mapping the Aetiology and Antimicrobial Resistance Patterns of Maternal Bacterial Infection in Sub-Saharan Africa: A Systematic Review and Meta-Analysis Protocol

Chikondi Isabel Joana Chapuma,Charlotte Van der veer,Edward J M Monk, Apatsa Selemani, David Kulapani,Catherine Dunlop,Nicholas Feasey,David Lissauer

Research Square (Research Square)(2021)

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Abstract
Background: Over two-thirds of global maternal deaths occur in Sub-Saharan Africa (SSA), with more than 200,000 deaths per year. Maternal sepsis causes 10% of these deaths, twice the proportion observed in high-income countries. In SSA, limited access to diagnostic microbiology facilities poses difficulties in promptly identifying and managing maternal infection and sepsis. This protocol describes a systematic review and meta-analysis that aims to summarize available data on the main bacterial agents causing maternal infections and their antibiotic susceptibility in SSA. Methods: Three electronic databases will be searched: MEDLINE, Embase and African Journals Online. Our search strategy will combine terms relating to laboratory-confirmed bacterial infection, pregnancy, postnatal period and SSA. We will include observational studies describing maternal bacterial infection's aetiology and antimicrobial resistance patterns in SSA. Two authors will perform study selection, data extraction and quality assessment. A third author will be consulted to resolve disagreements if they arise.We will summarize the proportion (and 95% confidence intervals) of samples testing positive for the most common bacteria and, depending on the data's availability and heterogeneity, examine results by country and/or region. If possible, we will describe trends over time and differentiate aetiological organisms and resistance/sensitivities by maternal infection sources. We will also undertake subgroup analyses based on HIV status, the invasive and non-invasive status of the infection, SSA sub-regions and mortality if there is adequate information to make such subgroup analysis feasible. Discussion: Data on the microbiologic outcomes for maternal infections in SSA are likely fragmented and not fully representative due to the limited availability of microbiology diagnostics and geographical differences in clinical and laboratory practices. If this is the case, policies and programme strategies to guide treatment and identify antimicrobial resistance threats in SSA settings will be challenging to target. Our systematic review aims to provide a comprehensive summary of the available data, describe the main organisms causing maternal infection and their sensitivities, and identify areas that require further research. Prospero ID: CRD42021238515
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Key words
maternal bacterial infection,antimicrobial resistance patterns,bacterial infection,systematic review,sub-saharan,meta-analysis
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