Content area

Abstract

Summary

Mitigating the risks of antibiotic resistance requires a horizon scan linking the quality with the quantity of data reported on drivers of antibiotic resistance in humans, arising from the human, animal, and environmental reservoirs. We did a systematic review using a One Health approach to survey the key drivers of antibiotic resistance in humans. Two sets of reviewers selected 565 studies from a total of 2819 titles and abstracts identified in Embase, MEDLINE, and Scopus (2005–18), and the European Centre for Disease Prevention and Control, the US Centers for Disease Control and Prevention, and WHO (One Health data). Study quality was assessed in accordance with Cochrane recommendations. Previous antibiotic exposure, underlying disease, and invasive procedures were the risk factors with most supporting evidence identified from the 88 risk factors retrieved. The odds ratios of antibiotic resistance were primarily reported to be between 2 and 4 for these risk factors when compared with their respective controls or baseline risk groups. Food-related transmission from the animal reservoir and water-related transmission from the environmental reservoir were frequently quantified. Uniformly quantifying relationships between risk factors will help researchers to better understand the process by which antibiotic resistance arises in human infections.

Details

Title
Quantifying drivers of antibiotic resistance in humans: a systematic review
Author
Chatterjee, Anuja 1 ; Modarai, Maryam 1 ; Naylor, Nichola R 1 ; Boyd, Sara E 2 ; Atun, Rifat 3 ; Barlow, James 4 ; Holmes, Alison H 5 ; Johnson, Alan 6 ; Robotham, Julie V 7 

 National Institute for Health Research, Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance, Imperial College London, London, UK 
 National Institute for Health Research, Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance, Imperial College London, London, UK; Imperial College London Healthcare NHS Trust, London, UK; Antimicrobial Pharmacodynamics and Therapeutics, Department of Molecular and Clinical Pharmacology, University of Liverpool, Liverpool, UK 
 National Institute for Health Research, Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance, Imperial College London, London, UK; Department of Global Health and Population, and Department of Health Policy and Management, Harvard University, Boston, MA, USA 
 Centre for Health Economics & Policy Innovation, Imperial College Business School, London, UK 
 National Institute for Health Research, Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance, Imperial College London, London, UK; Imperial College London Healthcare NHS Trust, London, UK 
 National Institute for Health Research, Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance, Imperial College London, London, UK; Department of Healthcare-Associated Infections and Antimicrobial Resistance, National Infection Service, Public Health England, London, UK 
 National Institute for Health Research, Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance, Imperial College London, London, UK; Modelling and Economics Unit, National Infection Service, Public Health England, London, UK 
Pages
e368-e378
Section
Review
Publication year
2018
Publication date
Dec 2018
Publisher
Elsevier Limited
ISSN
14733099
e-ISSN
14744457
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2136490474
Copyright
Copyright Elsevier Limited Dec 2018