Use of Machine Learning Models to Predict Microaspiration Measured by Tracheal Pepsin A.

Journal: American journal of critical care : an official publication, American Association of Critical-Care Nurses
PMID: 39740967

Abstract

BACKGROUND: Enteral feeding intolerance, a common type of gastrointestinal dysfunction leading to underfeeding, is associated with increased mortality. Tracheal pepsin A, an indicator of microaspiration, was found in 39% of patients within 24 hours of enteral feeding. Tracheal pepsin A is a potential biomarker of enteral feeding intolerance.

Authors

  • Annette Bourgault
    Annette Bourgault is an associate professor in Nursing, University of Central Florida College of Nursing, Orlando.
  • Ilana Logvinov
    Ilana Logvinov is a PhD student in Nursing, University of Central Florida College of Nursing, Orlando.
  • Chang Liu
    Key Lab of Cell Differentiation and Apoptosis of Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Rui Xie
    Department of Statistics and Data Science, University of Central Florida, Orlando, FL 32816 USA.
  • Jan Powers
    Jan Powers is Director of Nursing Research and Professional Practice, Parkview Health System, Fort Wayne, Indiana.
  • Mary Lou Sole
    Mary Lou Sole is dean, professor, and Orlando Health Endowed Chair in Nursing, University of Central Florida College of Nursing, Orlando.

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