Systematic review of wastewater surveillance of antimicrobial resistance in human populations. (April 2022)

• Record Type: Journal Article
• Authors: Chau, K.K.; Barker, L.; Budgell, E.P.; Vihta, K.D.; Sims, N.; Kasprzyk-Hordern, B.; Harriss, E.; Crook, D.W.; Read, D.S.; Walker, A.S.; Stoesser, N.
• Is Part Of: Environment international. Volume 162(2022)
• Publication Date: 2022-04
• Subjects: AMR -- Sewage -- Epidemiology -- Wastewater -- Surveillance; AST Antimicrobial susceptibility testing -- CIA Critically important antimicrobial -- ESBL Extended spectrum beta-lactamase -- IQR Interquartile range -- LMIC Lower-middle-income country -- MDR Multidrug resistant -- PE Population equivalent -- WGS Whole genome sequencing -- WWTW Wastewater treatment works; Environmental protection -- Periodicals; Environmental health -- Periodicals; Environmental monitoring -- Periodicals; Environmental Monitoring -- Periodicals; Environnement -- Protection -- Périodiques; Hygiène du milieu -- Périodiques; Environnement -- Surveillance -- Périodiques; Environmental health; Environmental monitoring; Environmental protection; Periodicals; 333.705
• DOI: 10.1016/j.envint.2022.107171
• Languages: English
• ISSNs: 0160-4120

Abstract

Highlights: Detection of wastewater-human AMR associations is promising despite diverse methods. Including composite influent, 12-month timeframe and WwTW-human overlap appears optimal. Specific species and AMR mechanisms appear more suited to the approach than others. Genomic approaches facilitate agnostic detection and biostatistical synthesis. More studies with clear reporting are needed to validate "best practice" protocols. Abstract: Objectives: We systematically reviewed studies using wastewater for AMR surveillance in human populations, to determine: (i) evidence of concordance between wastewater-human AMR prevalence estimates, and (ii) methodological approaches which optimised identifying such an association, and which could be recommended as standard. We used Lin's concordance correlation coefficient (CCC) to quantify concordance between AMR prevalence estimates in wastewater and human compartments (where CCC = 1 reflects perfect concordance), and logistic regression to identify study features (e.g. sampling methods) associated with high agreement studies (defined as >70% of within-study wastewater-human AMR prevalence comparisons within ±10%). Results: Of 8, 867 records and 441 full-text methods reviewed, 33 studies were included. AMR prevalence data was extractable from 24 studies conducting phenotypic-only (n = 7), genotypic-only (n = 1) or combined (n = 16) AMR detection. Overall concordance of wastewater-human AMR prevalence estimates was reasonably high for both phenotypic (CCC = 0.85 [95% CI 0.8–0.89]) and genotypic approaches (CCC = 0.88 (95% CI 0.84–0.9)) despite diverse study designs, bacterial species investigated and phenotypic/genotypic targets. No significant relationships between methodological approaches and high agreement studies were identified using logistic regression; however, this was limited by inconsistent reporting of study features, significant heterogeneity in approaches and limited sample size. Based on a secondary, descriptive synthesis, studies conducting composite sampling of wastewater influent, longitudinal sampling >12 months, and time-/location-matched sampling of wastewater and human compartments generally had higher agreement. Conclusion: Wastewater-based surveillance of AMR appears promising, with high overall concordance between wastewater and human AMR prevalence estimates in studies irrespective of heterogenous approaches. However, our review suggests future work would benefit from: time-/location-matched sampling of wastewater and human populations, composite sampling of influent, and sampling >12 months for longitudinal studies. Further research and clear and consistent reporting of study methods is required to identify optimal practice.