Skip to content

Trauma Study: Early Warning of Progression Toward Hemodynamic Deterioration After Trauma

Continued Development of a Multiplex Precision Medicine System for Early Warning of Progression Toward Hemodynamic Deterioration After Trauma

Status
Terminated
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04912232
Enrollment
1
Registered
2021-06-03
Start date
2022-12-08
Completion date
2022-12-08
Last updated
2024-05-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Hemorrhage, Occult Bleeding

Keywords

Occult Bleeding, Hemorrhage, Hemorrhagic Shock, Trauma Injury, Precision Medicine, Triage, Bioimpedance, Electrical Impedance Tomography, Electrical Impedance Spectroscopy, Near-Infrared Spectroscopy

Brief summary

This study is Phase 3 of a three-phase DOD CDMRP funded project for the development of a multi-technology poly-anatomic noninvasive system for early detection of occult hemorrhage. Early detection of ongoing hemorrhage (OH) before onset of shock is a universally acknowledged great unmet need, and particularly important after trauma. 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 with an acceptable rate of false-positives and false-negatives would save countless lives. Additionally, such technology would save significant time, money and effort by allowing medical resources to be applied more accurately - the essence of precision medicine. An automated system would monitor currently stable patients continuously, leaving clinicians free to care for patients in need of attention.

Detailed description

The investigators will enroll 480 trauma patients in a no significant risk prospective clinical trial to 1) evaluate the performance of a Mark I prototype, 2) validate the performance of the Phase II algorithm, and 3) re-train the algorithm to Phase III iteration. This is not a therapeutic study. 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. As a minimal risk study, there will be no change from standard of care for patients undergoing surgery. The surgical procedures and pharmacotherapies will proceed as per standard clinical management. Enrolled patients will undergo standard preoperative, anesthetic, and postoperative physiological monitoring that includes: Electrocardiogram: Heart rate and electrical activity of the heart will be recorded via a 3-lead ECG. Arterial Oxygen Saturation (SpO2): Pulse oximetry will be recorded using a commercially available finger pulse oximeter. Finger Photoplethysmography: waveforms will be obtained non-invasively from either the SpO2 photoplethysmography or alternatively a Flashback Technologies Compensatory Reserve Index (CRI™) device. In addition to these standard physiologic measurements, as a part of the research, the investigators will also acquire the following non-invasive optical and impedance measurements. All of these devices have been previously validated as non-invasive and safe in humans. The impedance electrodes and optical emitter/detectors will be incorporated into easily applied latex-free based belts that will be applied to anatomic locations along the thorax, abdomen and thigh. Application of these belts will be as soon as practical after patient arrival. The clinicians providing care to the patient will be blind with respect to the measurements from these devices. Continuous-wave Near-Infrared Spectroscopy (CW-NIRS) Device, custom built: The device is built on an Ocean Optics FLAME USB Spectrometers, with two OSRAM 4736 NIR LEDs in plastic holders meant to be taped or strapped to the patient on the chest/torso and thigh locations. An Oceans Optics tungsten-halogen light source is used for an additional probe location on the forehead. Probe holders are designed to collect light from surface of skin by means of a mirror and collimator. The device will collect data on light attenuation of muscle in models of shock/trauma. The light output for all locations is below the ANSI limits for maximum permissible skin exposure. SwissTom Electrical Impedance Tomography (EIT) System: Name of device: Pioneer Set (Electrical Impedance Tomography System) Device Manufacturer: SwissTom AG (Parent company SenTec AG) This device monitors dynamically changing perfusion physiology. To record multiplexed impedance signature a belt of 16-32 electrodes is placed around the thorax above the nipple line and thigh and impedances are recorded between multiple sets of electrodes. SwissTom develops a clinical EIT system that is approved for pulmonary imaging. This Pioneer system is their research platform that has similar functionality and safety performance to their clinical system but provides research teams with access to raw data and additional functionality for specifying imaging parameters (e.g. control of frame rates, signal frequency acquisition, electrode drive patterns). ScioSpec MultiChannel Electrical Impedance Spectroscopy (EIS) System: Name of device: ISX-Mini (MultiChannel Electrical Impedance Spectroscopy System) Device Manufacturer: ScioSpec To record multiplexed impedance signatures- an array of 4 electrodes is placed around the cranium and thorax of the patient and impedance spectroscopy signatures are recorded at each anatomic location. This device monitors dynamically changing intracranial, intrathoracic and intra-abdominal physiology. General Approach to Minimize Risk: This protocol will be minimal risk to patients as there is little risk associated with the placement of these devices and they can be removed at any time. They don't interfere with standard equipment used in clinical management of trauma patients.

Interventions

DEVICEDetection of Occult Hemorrhage in Trauma Patients

Non-invasive monitoring of trauma patients

Sponsors

United States Department of Defense
CollaboratorFED
Dartmouth College
CollaboratorOTHER
Baystate Medical Center
CollaboratorOTHER
Dartmouth-Hitchcock Medical Center
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

1. Awake and alert GCS \>14 2. Admission systolic blood pressure greater than 90 and heart rate less than 120 3. Without signs of clinically significant ongoing external hemorrhage with no active bleeding documented on radiology/ultrasound and stable vital signs (no signs of hemodynamic deterioration) during initial evaluation (approximately 15 minutes post admission)

Exclusion criteria

1. Altered mental status GCS \< 13 2. Systolic blood pressure less than 90 or heart rate greater than 120 3. Need for ongoing fluid or pressor support (standard local fluid resuscitation only) 4. Clinically significant ongoing external hemorrhage 5. Respiratory distress with O2 saturation \<96% 6. Pre-existing systemic illness, likely to alter systemic cardiovascular response to hemorrhage (overt clinical heart failure). Including congestive heart failure, and a paced cardiac rhythm. 7. Pregnant 8. Prisoner status

Design outcomes

Primary

MeasureTime frame
Algorithm Performance: Time of Alarm Before Onset of Deteriorationpatient data will be collected over 3-6 hours
Algorithm Performance: Sensitivity as Measured by for Alarm/no Alarm Outcomepatient data will be collected over 3-6 hours
Algorithm Performance: Specificity as Measured by for Alarm/no Alarm Outcomepatient data will be collected over 3-6 hours
Algorithm Performance: Positive Predictive Value for Alarm/no Alarm Outcomepatient data will be collected over 3-6 hours
Algorithm Performance: Negative Predictive Value for Alarm/no Alarm Outcomepatient data will be collected over 3-6 hours

Countries

United States

Participant flow

Participants by arm

ArmCount
Trauma Patients
Patients suffering blunt and/or penetrating trauma but without physiologic criteria suggestive of ongoing hemorrhage: 1. Awake and alert GCS \>14 2. Admission systolic blood pressure greater than 90 and heart rate less than 120 3. Without signs of clinically significant ongoing external hemorrhage with no active bleeding documented on radiology/ultrasound and stable vital signs (no signs of hemodynamic deterioration) during initial evaluation (approximately 15 minutes post admission) Detection of Occult Hemorrhage in Trauma Patients: Non-invasive monitoring of trauma patients
1
Total1

Baseline characteristics

CharacteristicTrauma Patients
Age, Categorical
<=18 years
0 Participants
Age, Categorical
>=65 years
0 Participants
Age, Categorical
Between 18 and 65 years
1 Participants
Ethnicity (NIH/OMB)
Hispanic or Latino
0 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
1 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants
Race (NIH/OMB)
Asian
0 Participants
Race (NIH/OMB)
Black or African American
0 Participants
Race (NIH/OMB)
More than one race
0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants
Race (NIH/OMB)
White
1 Participants
Region of Enrollment
United States
1 participants
Sex: Female, Male
Female
1 Participants
Sex: Female, Male
Male
0 Participants

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
0 / 1
other
Total, other adverse events
0 / 1
serious
Total, serious adverse events
0 / 1

Outcome results

Primary

Algorithm Performance: Negative Predictive Value for Alarm/no Alarm Outcome

Time frame: patient data will be collected over 3-6 hours

Population: Only 1 participant was enrolled was stable for 6 hours (no signs of hemodynamic deterioration). Therefore there was no data to analyze algorithm performance. Algorithm developed was to be trained to alarm under two circumstances indicating significant risk of ongoing hemorrhage progressing to shock: 1) a change from baseline, 2) development of prespecified patterns. This participant did not experience a triggering event, and therefore there was no data to be used to evaluate the algorithm.

ArmMeasureValue (NUMBER)
Trauma PatientsAlgorithm Performance: Negative Predictive Value for Alarm/no Alarm OutcomeNA percent
Primary

Algorithm Performance: Positive Predictive Value for Alarm/no Alarm Outcome

Time frame: patient data will be collected over 3-6 hours

Population: Only 1 participant was enrolled was stable for 6 hours (no signs of hemodynamic deterioration). Therefore there was no data to analyze algorithm performance. Algorithm developed was to be trained to alarm under two circumstances indicating significant risk of ongoing hemorrhage progressing to shock: 1) a change from baseline, 2) development of prespecified patterns. This participant did not experience a triggering event, and therefore there was no data to be used to evaluate the algorithm.

ArmMeasureValue (NUMBER)
Trauma PatientsAlgorithm Performance: Positive Predictive Value for Alarm/no Alarm OutcomeNA percent
Primary

Algorithm Performance: Sensitivity as Measured by for Alarm/no Alarm Outcome

Time frame: patient data will be collected over 3-6 hours

Population: Only 1 participant was enrolled was stable for 6 hours (no signs of hemodynamic deterioration). Therefore there was no data to analyze algorithm performance. Algorithm developed was to be trained to alarm under two circumstances indicating significant risk of ongoing hemorrhage progressing to shock: 1) a change from baseline, 2) development of prespecified patterns. This participant did not experience a triggering event, and therefore there was no data to be used to evaluate the algorithm.

ArmMeasureValue (NUMBER)
Trauma PatientsAlgorithm Performance: Sensitivity as Measured by for Alarm/no Alarm OutcomeNA percent
Primary

Algorithm Performance: Specificity as Measured by for Alarm/no Alarm Outcome

Time frame: patient data will be collected over 3-6 hours

Population: Only 1 participant was enrolled was stable for 6 hours (no signs of hemodynamic deterioration). Therefore there was no data to analyze algorithm performance. Algorithm developed was to be trained to alarm under two circumstances indicating significant risk of ongoing hemorrhage progressing to shock: 1) a change from baseline, 2) development of prespecified patterns. This participant did not experience a triggering event, and therefore there was no data to be used to evaluate the algorithm.

ArmMeasureValue (NUMBER)
Trauma PatientsAlgorithm Performance: Specificity as Measured by for Alarm/no Alarm OutcomeNA percent
Primary

Algorithm Performance: Time of Alarm Before Onset of Deterioration

Time frame: patient data will be collected over 3-6 hours

Population: Only 1 participant was enrolled was stable for 6 hours (no signs of hemodynamic deterioration). Therefore there was no data to analyze algorithm performance. Algorithm developed was to be trained to alarm under two circumstances indicating significant risk of ongoing hemorrhage progressing to shock: 1) a change from baseline, 2) development of prespecified patterns. This participant did not experience a triggering event, and therefore there was no data to be used to evaluate the algorithm.

ArmMeasureValue (NUMBER)
Trauma PatientsAlgorithm Performance: Time of Alarm Before Onset of DeteriorationNA minutes

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026