%0 Systematic Review
%T Frequency of bloodstream infections caused by six key antibiotic-resistant pathogens for prioritization of research and discovery of new therapies in Europe: a systematic review.
%A Pezzani MD
%A Arieti F
%A Rajendran NB
%A Barana B
%A Cappelli E
%A De Rui ME
%A Galia L
%A Hassoun-Kheir N
%A Argante L
%A Schmidt J
%A Rodriguez-Bano J
%A Harbarth S
%A de Kraker M
%A Gladstone BP
%A Tacconelli E
%J Clin Microbiol Infect
%V 30
%N 0
%D 2024 Mar 15
%M 38007387
%F 13.31
%R 10.1016/j.cmi.2023.10.019
%X <B>BACKGROUND: </B>To prioritize healthcare investments, ranking of infections caused by antibiotic-resistant bacteria should be based on accurate incidence data.<BR><B>OBJECTIVE: </B>We performed a systematic review to estimate frequency measures of antimicrobial resistance for six key bacteria causing bloodstream infections (BSI) in European countries.<BR><B>METHODS: </B>We searched PubMed, Web of Science, Embase databases, and the ECRAID-Base Epidemiological-Network platform.<BR><B>METHODS: </B>We included studies and surveillance systems assessing resistance-percentage, prevalence, or incidence-density of BSI because of carbapenem-resistant Pseudomonas aeruginosa, Acinetobacter baumannii, Klebsiella pneumoniae, and Escherichia coli, third-generation cephalosporins-resistant E. coli and K. pneumoniae, vancomycin-resistant Enterococcus faecium, and methicillin-resistant Staphylococcus aureus.<BR><B>METHODS: </B>Reviewers independently assessed published data and evaluated study quality with the modified Joanna Briggs Institute critical appraisal tool. Pooled estimates were determined using random effects meta-analysis. Consistency of data was assessed using random effects meta-regression (Wald test, p > 0.05).<BR><B>RESULTS: </B>We identified 271 studies and 52 surveillance systems from 32 European countries. Forty-five studies (16%) reported on BSI, including 180 frequency measures most commonly as resistance-percentage (88, 48.9%). Among 309 frequency measures extracted from 24 (46%) surveillance systems, 278 (89%) were resistance-percentages. Frequency measures of methicillin-resistant S. aureus and vancomycin-resistant E. faecium BSI were more frequently reported from Southern Europe and Western Europe (80%), whereas carbapenem-resistant P. aeruginosa BSI from Northern Europe and Western Europe (88%). Highest resistance-percentages were detected for carbapenem-resistant A. baumannii (66% in Central Eastern Europe) and carbapenem-resistant K. pneumoniae (62.8% in Southern Europe). Pooled estimates showed lower resistance-percentages in community versus healthcare-associated infections and in children versus adults. Estimates from studies and surveillance systems were mostly consistent among European regions. The included data was of medium quality.<BR><B>CONCLUSIONS: </B>Pathogen-specific frequency measures of antimicrobial resistance in BSI are insufficient to inform antibiotic stewardship and research and development strategies. Improving data collection and standardization of frequency measures is urgently needed.