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The Use of Near Infrared Spectroscopy in the Diagnosis of Acute Compartment Syndrome in Injured Soldiers

J

J&M Shuler

Status

Completed

Conditions

Acute Compartment Syndrome

Treatments

Device: near-infrared spectroscopy

Study type

Observational

Funder types

Industry
Other U.S. Federal agency

Identifiers

NCT01123798
DR080018-01

Details and patient eligibility

About

The purpose of this study is to define the reliability and accuracy of Near Infrared Spectroscopy (NIRS) in the detection of intra-compartmental tissue perfusion in injured and noninjured extremities over time. The investigators hypothesize that this technology, combined with vital signs, intracompartmental pressures and clinical examinations, will be useful in diagnosing acute compartment syndrome (ACS), monitoring patients at risk for ACS, and evaluating the adequacy of fasciotomy in patients treated for ACS.

Enrollment

300 estimated patients

Sex

All

Ages

18 to 65 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • 18-65 years old
  • male or female
  • active duty servicemen who have been evacuated from OIF or OEF through LRMC

Exclusion criteria

  • patients not willing to provide consent
  • patients in whom application of NIRS monitoring is viewed as an impediment to casualty care

Trial design

300 participants in 3 patient groups

Stable controls
Description:
Uninjured soldiers to provide normative data for stable physiological status
Treatment:
Device: near-infrared spectroscopy
Critical controls
Description:
Critically injured soldiers with no lower extremity traumatic injuries (excepting skin abrasions and small/superficial fragmentation wounds) to provide normative data for the "shock" physiological status.
Treatment:
Device: near-infrared spectroscopy
Lower extremity trauma
Description:
Soldiers with severe traumatic lower extremity injuries in stable and shock physiologic status. This is the investigational cohort.
Treatment:
Device: near-infrared spectroscopy

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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