TY - JOUR
T1 - Quantitative Microbial Risk Assessment of Antimicrobial Resistant and Susceptible Staphylococcus aureus in Reclaimed Wastewaters
AU - Schoen, Mary E.
AU - Jahne, Michael A.
AU - Garland, Jay
AU - Ramirez, Lucia
AU - Lopatkin, Allison J.
AU - Hamilton, Kerry A.
N1 - Funding Information:
This work was supported by the U.S. Environmental Protection Agency Office of Research and Development. This work was also supported by the National Science Foundation award #2040697 (A.J.L. and K.H.) and the Water Research Foundation award #WRF 4813.
Publisher Copyright:
© 2021 American Chemical Society.
PY - 2021/11/16
Y1 - 2021/11/16
N2 - The annual risks of colonization, skin infection, bloodstream infection (BSI), and disease burden from exposures to antibiotic-resistant and susceptible Staphylococcus aureus (S. aureus) were estimated using quantitative microbial risk assessment (QMRA). We estimated the probability of nasal colonization after immersion in wastewater (WW) or greywater (GW) treated across a range of treatment alternatives and subsequent infection. Horizontal gene transfer was incorporated into the treatment model but had little effect on the predicted risk. The cumulative annual probability of infection (resulting from self-inoculation) was most sensitive to the treatment log10 reduction value (LRV), S. aureus concentration, and the newly calculated morbidity ratios and was below the health benchmark of 10-4 infections per person per year (ppy) given a treatment LRV of roughly 3.0. The predicted annual disability-adjusted life years (DALYs), which were dominated by BSI, were below the health benchmark of 10-6 DALYs ppy for resistant and susceptible S. aureus, given LRVs of 4.5 and 3.5, respectively. Thus, the estimated infection risks and disease burdens resulting from nasal colonization are below the relevant health benchmarks for risk-based, nonpotable, or potable reuse systems but possibly above for immersion in minimally treated GW or WW. Strain-specific data to characterize dose-response and concentration in WW are needed to substantiate the QMRA.
AB - The annual risks of colonization, skin infection, bloodstream infection (BSI), and disease burden from exposures to antibiotic-resistant and susceptible Staphylococcus aureus (S. aureus) were estimated using quantitative microbial risk assessment (QMRA). We estimated the probability of nasal colonization after immersion in wastewater (WW) or greywater (GW) treated across a range of treatment alternatives and subsequent infection. Horizontal gene transfer was incorporated into the treatment model but had little effect on the predicted risk. The cumulative annual probability of infection (resulting from self-inoculation) was most sensitive to the treatment log10 reduction value (LRV), S. aureus concentration, and the newly calculated morbidity ratios and was below the health benchmark of 10-4 infections per person per year (ppy) given a treatment LRV of roughly 3.0. The predicted annual disability-adjusted life years (DALYs), which were dominated by BSI, were below the health benchmark of 10-6 DALYs ppy for resistant and susceptible S. aureus, given LRVs of 4.5 and 3.5, respectively. Thus, the estimated infection risks and disease burdens resulting from nasal colonization are below the relevant health benchmarks for risk-based, nonpotable, or potable reuse systems but possibly above for immersion in minimally treated GW or WW. Strain-specific data to characterize dose-response and concentration in WW are needed to substantiate the QMRA.
KW - MRSA
KW - QMRA
KW - Staphylococcus aureus
KW - antimicrobial resistance
KW - greywater
KW - horizontal gene transfer
KW - reclaimed
KW - wastewater
UR - http://www.scopus.com/inward/record.url?scp=85118805504&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85118805504&partnerID=8YFLogxK
U2 - 10.1021/acs.est.1c04038
DO - 10.1021/acs.est.1c04038
M3 - Article
C2 - 34699171
AN - SCOPUS:85118805504
SN - 0013-936X
VL - 55
SP - 15246
EP - 15255
JO - Environmental Science & Technology
JF - Environmental Science & Technology
IS - 22
ER -