Quantifying drivers of antibiotic resistance in humans: a systematic review
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 t...
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| Veröffentlicht in: | The Lancet infectious diseases 2018-12, Vol.18 (12), p.e368-e378 |
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| container_title | The Lancet infectious diseases |
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| creator | Chatterjee, Anuja Modarai, Maryam Naylor, Nichola R Boyd, Sara E Atun, Rifat Barlow, James Holmes, Alison H Johnson, Alan Robotham, Julie V |
| description | 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. |
| doi_str_mv | 10.1016/S1473-3099(18)30296-2 |
| format | Article |
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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.</description><identifier>ISSN: 1473-3099</identifier><identifier>EISSN: 1474-4457</identifier><identifier>DOI: 10.1016/S1473-3099(18)30296-2</identifier><identifier>PMID: 30172580</identifier><language>eng</language><publisher>United States: Elsevier Ltd</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Animal human relations ; Antibiotic resistance ; Antibiotics ; Antimicrobial agents ; Bacteria ; Bacteria - drug effects ; Bacteria - isolation & purification ; Bacterial Infections - epidemiology ; Bacterial Infections - veterinary ; Bias ; Child ; Child, Preschool ; Data analysis ; Disease control ; Disease Transmission, Infectious ; Drug resistance ; Drug Resistance, Bacterial ; Environmental Microbiology ; Female ; Foodborne Diseases - epidemiology ; Foodborne Diseases - microbiology ; Funding ; Gram-positive bacteria ; Humans ; Infant ; Infant, Newborn ; Infectious diseases ; Male ; Medical research ; Middle Aged ; Prevalence ; Prevention ; Quality ; Quality assessment ; Risk analysis ; Risk Factors ; Risk groups ; Risk management ; Studies ; Systematic review ; Young Adult</subject><ispartof>The Lancet infectious diseases, 2018-12, Vol.18 (12), p.e368-e378</ispartof><rights>2018 Elsevier Ltd</rights><rights>Copyright © 2018 Elsevier Ltd. 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Uniformly quantifying relationships between risk factors will help researchers to better understand the process by which antibiotic resistance arises in human infections.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Animal human relations</subject><subject>Antibiotic resistance</subject><subject>Antibiotics</subject><subject>Antimicrobial agents</subject><subject>Bacteria</subject><subject>Bacteria - drug effects</subject><subject>Bacteria - isolation & purification</subject><subject>Bacterial Infections - epidemiology</subject><subject>Bacterial Infections - veterinary</subject><subject>Bias</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Data analysis</subject><subject>Disease control</subject><subject>Disease Transmission, Infectious</subject><subject>Drug resistance</subject><subject>Drug Resistance, Bacterial</subject><subject>Environmental Microbiology</subject><subject>Female</subject><subject>Foodborne Diseases - 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| subjects | Adolescent Adult Aged Aged, 80 and over Animal human relations Antibiotic resistance Antibiotics Antimicrobial agents Bacteria Bacteria - drug effects Bacteria - isolation & purification Bacterial Infections - epidemiology Bacterial Infections - veterinary Bias Child Child, Preschool Data analysis Disease control Disease Transmission, Infectious Drug resistance Drug Resistance, Bacterial Environmental Microbiology Female Foodborne Diseases - epidemiology Foodborne Diseases - microbiology Funding Gram-positive bacteria Humans Infant Infant, Newborn Infectious diseases Male Medical research Middle Aged Prevalence Prevention Quality Quality assessment Risk analysis Risk Factors Risk groups Risk management Studies Systematic review Young Adult |
| title | Quantifying drivers of antibiotic resistance in humans: a systematic review |
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