Abstract

Future MicrobiologyVol. 11, No. 9 EditorialAppropriate surveillance methodology for assessing childhood antibiotic resistance: where do we stand?Julia A Bielicki, Paul T Heath & Mike SharlandJulia A Bielicki*Author for correspondence: E-mail Address: jbielick@sgul.ac.uk Paediatric Infectious Diseases Research Group, Infection & Immunity, St George's University of London, London, UK Department of Health Services Research & Policy, London School of Hygiene & Tropical Medicine, London, UK Paediatric Pharmacology Group, University of Basel Children's Hospital, Basel, SwitzerlandSearch for more papers by this author, Paul T Heath Paediatric Infectious Diseases Research Group, Infection & Immunity, St George's University of London, London, UKSearch for more papers by this author & Mike Sharland Paediatric Infectious Diseases Research Group, Infection & Immunity, St George's University of London, London, UKSearch for more papers by this authorPublished Online:22 Aug 2016https://doi.org/10.2217/fmb-2016-0134AboutSectionsView ArticleView Full TextPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareShare onFacebookTwitterLinkedInReddit View articleKeywords: antimicrobial resistanceepidemiologypediatricsReferences1 Laxminarayan R, Duse A, Wattal C et al. Antibiotic resistance-the need for global solutions. Lancet Infect. Dis. 13, 1057–1098 (2013).Crossref, Medline, Google Scholar2 Bielicki JA, Lundin R, Sharland M, Project A. Antibiotic resistance prevalence in routine bloodstream isolates from children's hospitals varies substantially from adult surveillance data in Europe. Pediatr. Infect. Dis. J. 34, 734–741 (2015).Crossref, Medline, Google Scholar3 Wilson J, Elgohari S, Livermore DM et al. Trends among pathogens reported as causing bacteraemia in England, 2004–2008. Clin. Microbiol. Infect. 17, 451–458 (2011).Crossref, Medline, CAS, Google Scholar4 Regev-Yochay G, Meir R, Dagan R et al. Nasopharyngeal carriage of Streptococcus pneumoniae by adults and children in community and family settings. Clin. Infect. Dis. 38, 632–639 (2004).Crossref, Medline, Google Scholar5 Vergnano S, Menson E, Kennea N et al. Neonatal infections in England: the NeonIN surveillance network. Arch. Dis. Child. Fetal Neonatal Ed. 96(1), F9–F14 (2011).Crossref, Medline, Google Scholar6 Dar OA, Hasan R, Schlundt J et al. Exploring the evidence base for national and regional policy interventions to combat resistance. Lancet 387, 285–295 (2016).Crossref, Medline, Google Scholar7 Rempel OR, Laupland KB. Surveillance for antimicrobial resistant organisms: potential sources and magnitude of bias. Epidemiol Infect. 137, 1665–1673 (2009).Crossref, Medline, CAS, Google Scholar8 Skogberg K, Lyytikäinen O, Ollgren J, Nuorti JP, Ruutu P. Population-based burden of bloodstream infections in Finland. Clin. Microbiol. Infect. 18, e170–e176 (2012).Crossref, Medline, CAS, Google Scholar9 Hyun DY, Hersh AL, Namtu K et al. Antimicrobial stewardship in pediatrics: how every pediatrician can be a steward. JAMA Pediatr. 167, 859–866 (2013).Crossref, Medline, Google Scholar10 Löhr IH, Rettedal S, Natås OB, Naseer U, Oymar K, Sundsfjord A. Long-term faecal carriage in infants and intra-household transmission of CTX-M-15-producing Klebsiella pneumoniae following a nosocomial outbreak. J Antimicrob Chemother. 68(5), 1043–1048 (2013).Crossref, Medline, Google Scholar11 Laxminarayan R, Matsoso P, Pant S et al. Access to effective antimicrobials: a worldwide challenge. Lancet. 387, 168–175 (2016).Crossref, Medline, Google Scholar12 European Centre for Disease Prevention and Control. Antimicrobial Resistance (AMR) reporting protocol 2015; European Antimicrobial Resistance Surveillance Network (EARS-Net) surveillance data for 2014. ECDC, Stockholm, Sweden (2015).Google Scholar13 Hebert C, Ridgway J, Vekhter B, Brown EC, Weber SG, Robicsek A. Demonstration of the weighted-incidence syndromic combination antibiogram: an empiric prescribing decision aid. Infect. Control Hosp. Epidemiol. 33, 381–388 (2012).Crossref, Medline, Google Scholar14 Bielicki JA, Sharland M, Johnson AP, Henderson KL, Cromwell DA. Selecting appropriate empirical antibiotic regimens for paediatric bloodstream infections: application of a Bayesian decision model to local and pooled antimicrobial resistance surveillance data. J. Antimicrob. Chemother. 71, 794–802 (2016).Crossref, Medline, CAS, Google Scholar15 Paediatric Formulary Committee. British National Formulary for Children 2015–2016. BMJ Group, Royal Pharmaceutical Press and RCPCH Publications, London, UK (2015).Google ScholarFiguresReferencesRelatedDetails Vol. 11, No. 9 Follow us on social media for the latest updates Metrics Downloaded 34 times History Published online 22 August 2016 Published in print September 2016 Information© Future Medicine LtdKeywordsantimicrobial resistanceepidemiologypediatricsFinancial & competing interests disclosureJA Bielicki's husband is senior corporate counsel at Novartis International AG, Basel, Switzerland, and holds Novartis stock and stock options. M Sharland chairs the Department of Health Expert Advisory Committee on Antimicrobial Resistance and Healthcare Associated Infection (ARHAI) in the UK. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.No writing assistance was utilized in the production of this manuscript.PDF download

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call