Non-invasive Hemodynamic Monitoring During Blood Donation for Developing Models of Early Blood Loss.

University of Colorado, Denver1 site in 1 country320 target enrollmentNovember 2011

ConditionsHemorrhage

Overview

Phase: Not Applicable
Intervention: Not specified
Conditions: Hemorrhage
Sponsor: University of Colorado, Denver
Enrollment: 320
Locations: 1
Primary Endpoint: Algorithm
Status: Completed
Last Updated: 11 years ago

Overview Investigators Eligibility Criteria Outcomes Sites Similar Trials

Overview

Brief Summary

This study is part of a Phase II STTR project to develop an algorithm called CipherSensor to apply feature extraction and machine learning techniques to non-invasive hemodynamic data to identify early signs of acute blood loss. The availability of this information may help to establish required interventions for treating trauma patients and battlefield casualties.

Study hypothesis: Hemodynamic changes measured non-invasively during the blood donation process can be modeled to provide early estimations of blood loss.

Registry

clinicaltrials.gov

Start Date

November 2011

End Date

September 2014

Last Updated

11 years ago

Study Type

Observational

Sex

All

Investigators

Sponsor

University of Colorado, Denver

Responsible Party

Sponsor

Eligibility Criteria

Inclusion Criteria

•Approved by Children's Hospital Colorado Blood Donation Center for blood donation
•Age 18 -89 years
•Previously donated blood (lower likelihood of vasovagal response)

Exclusion Criteria

•Incarcerated
•Limited access to or compromised monitoring sites for non-invasive sensors: finger, ear and forehead sensors, oral/nasal cannula, 3 ECG electrodes.