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What the Drains Reveal: Wastewater Surveillance of Multidrug-Resistant Organisms in Two Hospitals

Published online by Cambridge University Press:  23 June 2026

Alfredo Mena Lora
Affiliation:
University of Illinois at Chicago
Scott Borgetti
Affiliation:
University of Illinios
Lior Cohen Yatziv
Affiliation:
University of Illinois Chicago
Mirza Ali
Affiliation:
Infection Control Team
Susan Bleasdale Casey
Affiliation:
N/A

Abstract

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Background: Wastewater surveillance has emerged as a powerful tool for monitoring community pathogen burden. However, its role in hospital infection prevention remains unclear. We evaluated hospital wastewater for detectable multidrug-resistant organisms (MDRO) at an academic tertiary-care center (AH) and a community hospital (CH). Methods: From April-September 2024, wastewater was collected longitudinally from an AH and a CH. Samples were collected from selective plumbing draining intensive care beds at both facilities. After a 24-hour collection, samples were processed using digital droplet PCR to detect and quantify resistance genes and pathogens, including blaCTX-M, blaTEM, blaCMY-2, blaSHV, IMP, VIM, OXA-48, KPC, NDM, and Candida auris. Results were reported as gene copies per swab. Concurrent hospital isolation logs were reviewed to identify unit isolation with corresponding MDROs at the time of sampling. Results: Wastewater from both hospitals consistently contained multiple MDRO genetic markers across all sampling periods (Figures 1-4). Extended-spectrum beta-lactamase (ESBL) genes blaCTX-M, blaTEM, and blaSHV were detected in every sample, often at high copy number. Carbapenemase (CRE) genes IMP, KPC, and VIM were frequently detected, whereas NDM and OXA-48 were present at low and variable levels. C. auris was rarely detected. Across both sites, quantitative gene copy numbers varied over time. AH demonstrated persistently high ESBL and CRE gene burdens with temporal surges (Figure 1-2), while CH showed lower and more episodic detection patterns (Figure 3-4). Isolation needs for ESBL and CRE at both hospitals are reported in Figures 1-4. Conclusion: Hospital wastewater harbors diverse MDRO genetic signatures that do not reliably track with isolation practices, reflecting contributions from both silent patient shedding and environmental sources. ESBL genes often remained high even when no patients required isolation, whereas carbapenemase surges frequently preceded increases in CRE isolation, suggesting wastewater may provide early warning of rising resistance pressure. Differences between hospitals likely reflect both patient populations and environmental persistence. Wastewater surveillance may complement infection prevention efforts but should not be interpreted as a direct surrogate for patient colonization. Figure 1. Temporal trends in ESBL-producing resistance genes in wastewater and isolation needs at an academic center Figure 2. Temporal trends in CRE-producing resistance genes in wastewater and isolation needs at an academic center Figure 3. Temporal trends in ESBL-producing resistance genes in wastewater and isolation needs at a community hospital Figure 4. Temporal trends in CRE-producing resistance genes in wastewater and isolation needs at a community hospital

A bar graph showing copies detected in wastewater samples.

Graphs depict wastewater samples and isolation needs for CRE.

A line graph showing the detection of various gene copies in wastewater samples and the corresponding isolation needs for CRE.

A line graph showing the detection of different gene copies in wastewater samples and their isolation needs.

Information

Type
MDR GNR
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America