A 48 Subject Study Using Non-invasive Multi-Technology Measurements for Early Detection of Ongoing Hemorrhage
NCT04814810 · Status: TERMINATED · Type: OBSERVATIONAL · Enrollment: 7
Last updated 2022-01-05
Summary
Early detection of ongoing hemorrhage (OH) before onset of hemorrhagic shock is a universally acknowledged great unmet need, and particularly important after traumatic injury. Delays in the detection of OH are associated with a "failure to rescue" and a dramatic deterioration in prognosis once the onset of clinically frank shock has occurred. An early alert to the presence of OH would save countless lives.
This is a single site study, enrolling 48 patients undergoing liver resection in a "no significant risk" prospective clinical trial to: 1) further identify a minimal subset of noninvasive measurement technologies necessary for the desired diagnostic performance, 2) validate the performance of our Phase I algorithm, and 3) re-train the algorithm to a Phase II human iteration.
The main outcome variables are non-invasive measurements that will be used for machine learning, not real-time patient management. The data generated will be used later for discovery and validation in traditional and innovative machine learning.
Conditions
- Occult Bleeding
- Hemorrhage
- Hemorrhagic Shock
Sponsors & Collaborators
-
United States Department of Defense
collaborator FED -
Ohio State University
collaborator OTHER -
Dartmouth College
collaborator OTHER -
Dartmouth-Hitchcock Medical Center
lead OTHER
Principal Investigators
-
Norman A Paradis, MD · Dartmouth-Hitchcock Medical Center
-
Mary Dillhoff, MD · Ohio State University
-
Ryan Halter, PhD · Dartmouth College
-
Vikrant Vaze, PhD · Dartmouth College
-
Jonathan Elliott, PhD · Dartmouth-Hitchcock Medical Center
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2021-02-01
- Primary Completion
- 2021-04-15
- Completion
- 2021-04-15
Countries
- United States
Study Locations
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