A Machine Learning–Based Clustering Analysis to Explore Bisphenol A and Phthalate Exposure from Medical Devices in Infants with Congenital Heart Defects
Our findings suggest that dynamic changes of urinary BPA and DEHP metabolites corresponded to the type and number of medical devices used in infants. Further studies are needed to investigate the potential toxicological risks of infants with CHD undergoing cardiac surgery exposed to these chemicals in medical devices. https://doi.org/10.1289/EHP15034.
Authors
- Eric S. Coker (ORCID: https://orcid.org/0000-0001-6698-6165)
- Zhoumeng Lin (ORCID: https://orcid.org/0000-0002-8731-8366)
- James William Gaynor (ORCID: https://orcid.org/0000-0001-7955-5604)
- Brenna Klepczynski
- Wei‐Chun Chou (ORCID: https://orcid.org/0000-0003-3355-6921)
- Richard F. Ittenbach (ORCID: https://orcid.org/0000-0002-7914-4298)
- Tia Walker
- Eric M. Graham
Institutions
- Children's Hospital of Philadelphia (US)
- Medical University of South Carolina (US)
- BC Centre for Disease Control (CA)
- University of Florida (US)
- California University of Pennsylvania (US)
- University of Cincinnati (US)
Publication Details
- Journal
- Environmental Health Perspectives
- Published
- 2025-05-08
- DOI
- https://doi.org/10.1289/ehp15034
- Citations
- 4
- Primary Topic
- Effects and risks of endocrine disrupting chemicals
- Type
- article
- Field-Weighted Citation Impact
- 4.80
Funders
- National Institutes of Health
- National Center for Advancing Translational Sciences