Comparison of Compensatory Reserve Index to Intravascular Volume Change and Stroke Volume

NCT ID: NCT01935427

Last Updated: 2015-03-06

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 42 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2013-09-30
• Study Completion Date: 2013-12-31

Brief Summary

This study is designed to validate implementation of the CRI algorithm in the CypherOx CRI system.

Healthy human subjects will undergo progressive reduction in central blood volume to the point of hemodynamic instability (defined by a precipitous fall in systolic blood pressure (SBP) below 70 mmHg and/or voluntary subject termination due to discomfort (such as sweating, nausea, or dizziness) to validate the following hypotheses:

The CypherOx CRI system will A. Trend intravascular volume changes (hemorrhage) B. Trend stroke volume changes and C. The CRI trend value is not relative to an initial CRI reading, instead it is an actual CRI trend value that does not require calibration or being placed during normal physiological conditions.

Detailed Description

Hemorrhagic shock is a leading cause of death in both civilian and battlefield trauma. Currently available medical monitors provide the capabilities to measure standard vital signs that are often imprecise, subjective, intermittent and inconsistent. More importantly, the appearance of hypotension and other signs and symptoms of shock represent a point in time when it may be too late to apply effective lifesaving interventions. Understanding the physiological signals that provide the best indicators of blood volume loss and impending circulatory failure is critical to bridging the capability gap of identifying the need for early intervention. Under a previous BAMC IRB-approved protocol, we used lower body negative pressure (LBNP) as an experimental model of central hypovolemia to simulate progressive blood loss that results in hemodynamic instability (e.g., hypotension, tachycardia, presyncopal symptoms) in conscious, healthy human subjects. From data collected within this original protocol, we now understand that arterial waveforms (either blood pressure or pulse oximetry) are important variables associated with hypovolemia. Feature extraction and machine learning techniques were applied to these previously collected data and an algorithm was developed called Compensatory Reserve Index (CRI) which was designed to reflect progressive blood loss and decreasing stroke volume. This algorithm was installed in a pulse oximeter in which the photo-plethysmographic waveform (PPG) was used to calculate the CRI. Using this CRI Pulse oximeter, a pretrial study of 24 subjects indicated a high correlation in trending of blood volume loss (DOD study at Mayo Clinic) and a mean correlation of 0.96 when comparing CRI to stroke volume (LBNP at AISR Laboratory). The work proposed herein will validate those findings. During each experiment each test subject will wear 4 FDA cleared pulse oximeters which transmit PPG data to an off-the-shelf handheld tablet (meets military specs) which will calculate and display the CRI value. The subjects will also wear 2 FDA cleared Nexfin hemodynamic monitors that display stroke volume. LBNP will be used to produce progressive central hypovolemia in healthy human subjects until the point of hemodynamic decompensation (presyncope). This approach will validate the correlation of CRI to stroke volume.

Conditions

Hemorrhage

Study Design

• Study Time Perspective: PROSPECTIVE

Study Groups

Volunteer test subjects

Healthy volunteer with no cardiovascular disease

No interventions assigned to this group

Eligibility Criteria

Inclusion Criteria

• Healthy nonsmoking normotensive (<140/90) males or females.
• Age 18 to 55 yr.
• Normal clinical results from a Medical History and Physical form DD 2807-1
• Military or civilian.
• Documentation of a negative pregnancy test within 24 hours prior to each study period, if necessary.
• Not obese, as defined by body mass index (BMI) < 30, unless individual is athletic (BMI may not be the best method of assessing obesity in athletic individuals). BMI is calculated as the weight in kilograms divided by the square of the height in meters.

Exclusion Criteria

• (a) Age <18 and >55 years.
• Individuals taking prescription drugs, non-prescription drugs or herbal medicines known to alter autonomic function unless cleared by the Medical Screener.
• Subjects using prescription medications within 30 days before initiation of the experiments unless cleared by the Medical Screener.
• Subjects with a history of alcohol or drug abuse which inhibits the subject's ability to complete this study.
• Smokers.
• Subjects with signs of cardiovascular abnormalities (e.g., hypertension (> 140/90), autonomic dysfunction (Shy-Drager Syndrome, Bradbury-Eggleston syndrome, sinus arrhythmia, idiopathic orthostatic hypotension), fainting disorder, etc.).
• Subjects with respiratory illnesses (e.g., asthma, Chronic Obstructive Pulmonary Disease, Reactive Airway Disease, etc.).
• Subjects with a history of anaphylaxis.
• Subjects with allergies to medications not cleared by the Medical Screener. Individuals reporting a history of pre-syncopal/syncopal episodes or orthostatic hypotension.
• Subjects with a history or family history of abnormal blood clotting, clots in deep veins in the legs or pelvis, or blood clots to the lungs.
• Individuals taking prescription medications for hypertension (high blood pressure). (l) Individuals with known or suspected abdominal hernias
• Pregnancy, trying to become pregnant, or breastfeeding

• Minimum Eligible Age: 18 Years
• Maximum Eligible Age: 55 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

Flashback Technologies

INDUSTRY

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Principal Investigators

Victor A Convertino, Ph.D.

Role: PRINCIPAL_INVESTIGATOR

US Army Institute of Surgical Research

Locations

US Army Institute of Surgical Research

San Antonio, Texas, United States

Countries

United States

Other Identifiers

CRIV2

Identifier Type: -

Identifier Source: org_study_id