Dynamic Monitoring of Systemic Biomarkers with Gastric Sensors
Name
Advanced Science - 2021 - Steiger - Dynamic Monitoring of Systemic Biomarkers with Gastric Sensors.pdf
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Published version
Size
4.25 MB
Format
Adobe PDF
Checksum (MD5)
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Author(s) • • • • • • • • •
Steiger, Christoph
Phan, Nhi V
Huang, Hen-Wei
Sun, Haoying
Chu, Jacqueline N
Reker, Daniel
Gwynne, Declan
Collins, Joy
Tamang, Siddartha
McManus, Rebecca
Date Issued
2021
Journal
Advanced Science
Publisher
Wiley
Citation
Steiger, Christoph, Phan, Nhi V, Huang, Hen-Wei, Sun, Haoying, Chu, Jacqueline N et al. 2021. "Dynamic Monitoring of Systemic Biomarkers with Gastric Sensors." Advanced Science, 8 (24).
Version
Final published version
Abstract
Continuous monitoring in the intensive care setting has transformed the capacity to rapidly respond with interventions for patients in extremis. Noninvasive monitoring has generally been limited to transdermal or intravascular systems coupled to transducers including oxygen saturation or pressure. Here it is hypothesized that gastric fluid (GF) and gases, accessible through nasogastric (NG) tubes, commonly found in intensive care settings, can provide continuous access to a broad range of biomarkers. A broad characterization of biomarkers in swine GF coupled to time-matched serum is conducted . The relationship and kinetics of GF-derived analyte level dynamics is established by correlating these to serum levels in an acute renal failure and an inducible stress model performed in swine. The ability to monitor ketone levels and an inhaled anaesthetic agent (isoflurane) in vivo is demonstrated with novel NG-compatible sensor systems in swine. Gastric access remains a main stay in the care of the critically ill patient, and here the potential is established to harness this establishes route for analyte evaluation for clinical management.
MIT Department
Koch Institute for Integrative Cancer Research at MIT
Massachusetts Institute of Technology. Division of Comparative Medicine
Massachusetts Institute of Technology. Department of Mechanical Engineering
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Creative Commons Attribution 4.0 International license
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DOI of Published Version
https://doi.org/10.1002/ADVS.202102861