Preclinical Evaluation of a Decision Support Medical Monitoring System for Early Detection of Potential Hemodynamic Decompensation During Blood Loss in Humans

Abstract

This is a preclinical evaluation of non-invasive medical monitoring devices to predict blood loss and hemorrhage in humans. The goal is to develop technologies that can enhance decision support and resuscitation algorithms to treat combat casualties. In the last 12 months we have initiated the protocol and begun to compare simulated hemorrhage with lower body negative pressure (LBNP) with real blood loss of ~1 L. Two subjects have been studied to date and we are finding a remarkably tight correlation between LBNP levels of -15, -30, and -45mmHg with blood loss of 333 ml, 666 ml, and 1 L total. Notably, the changes in central venous pressure evoked by LBNP are similar to those evoked by real blood loss. Additionally, we are performing coagulation studies and also making detailed measurements of arterial pressure and heart rate. This primary data will be subject to further analysis including machine learning approaches designed to enhance the decision support algorithms developed by the U.S. Army Institute of Surgical Research. It should also be noted that the original project schedule has been delayed as a result of significant delays in the IRB process for review and approval of the experimental protocol.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2012
Accession Number
ADA577046

Entities

People

  • Betty Diamond
  • Michael J. Joyner

Organizations

  • Mayo Clinic

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Anatomy
  • Arteries
  • Biological Sciences
  • Biomedical Research
  • Blood
  • Body Fluids
  • Data Sets
  • Department Of Defense
  • Detection
  • Electronic Mail
  • Fluids And Secretions
  • Hemorrhage
  • Measurement
  • Monitoring
  • Resuscitation
  • Test And Evaluation

Fields of Study

  • Medicine

Readers

  • Cardiovascular Physiology
  • Clinical Trial Research.

Technology Areas

  • AI & ML