A Machine Learning-Based Clustering Analysis to Explore Bisphenol A and Phthalate Exposure from Medical Devices in Infants with Congenital Heart Defects.

Journal: Environmental health perspectives
Published Date:

Abstract

BACKGROUND: Plastic-containing medical devices are commonly used in critical care units and other patient care settings. Patients are often exposed to xenobiotic agents that are leached out from plastic-containing medical devices, including bisphenol A (BPA) and phthalates. Given the potential health implications, there is an urgent need for a comprehensive understanding of this exposure.

Authors

  • Wei-Chun Chou
    Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, Florida 32610, USA.
  • J William Gaynor
    Division of Cardiothoracic Surgery, Department of Surgery, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
  • Eric M Graham
    Division of Cardiology, Department of Pediatrics, Medical University of South Carolina, Charleston, South Carolina, USA.
  • Brenna Klepczynski
    Division of Cardiothoracic Surgery, Department of Surgery, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
  • Tia Walker
    Division of Cardiothoracic Surgery, Department of Surgery, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
  • Eric S Coker
    Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, USA.
  • Richard F Ittenbach
    Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital, College of Medicine, University of Cincinnati, Cincinnati, Ohio, USA.
  • Zhoumeng Lin
    Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, Florida 32610, USA.