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Clinical Trials/NCT01077934
NCT01077934
Completed
Not Applicable

Assessment of Near Infrared Spectroscopy as a Diagnostic Tool in Acute Compartment Syndrome

J&M Shuler1 site in 1 country8 target enrollmentNovember 2011

Overview

Phase
Not Applicable
Intervention
Not specified
Conditions
Compartment Syndrome
Sponsor
J&M Shuler
Enrollment
8
Locations
1
Primary Endpoint
NIRS values in lower leg extremity injury
Status
Completed
Last Updated
11 years ago

Overview

Brief Summary

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. We 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.

Detailed Description

Acute compartment syndrome (ACS) is associated with lower leg trauma in up to 20% of high energy injuries. ACS occurs when the pressure due to swelling exceeds the perfusion pressure thereby cutting off blood flow to the leg. If untreated, the results can be catastrophic with an insensate, contracted leg. Moreover, there is a high risk of subsequent infection and even amputation. The treatment for ACS, a four compartment fasciotomy, is aimed at releasing the pressure through two incisions from roughly the knee to the ankle. Often due to wound expansion, the incisions require multiple debridements and skin grafting to close. With fasciotomies, fractures are converted from closed to open injuries. When left open for many days, the risk of infection and complications such as nonunion increase significantly. The only accepted objective method for diagnosis of ACS is to measure the pressure inside the leg compartments by using a large gauge needle hooked to a pressure monitor. However, these readings can be erroneous if not performed correctly. As such, ACS continues to be a clinical diagnosis which is made based on the surgeon's experience and their interpretation of the character of the injury (high-energy, motorcycle crash, vs. low-energy, a twisted ankle). Clinicians are left to attempt to interpret physical exam findings and readings from pressure monitors. Most importantly ACS is not an event, but a process that can manifest at multiple points after injury. The most accurate and effective method for diagnosing and appropriately treating ACS is serial examination over a course of hours to days. With this study, we hope to evaluate the NIRS device, which is non-invasive, as diagnostic tool in the evaluation of acute compartment syndrome. We plan to evaluate all patients by the gold standard in diagnosing acute compartment syndrome while simultaneously evaluating the patient with the NIRS device. This will allow us to determine if the NIRS device can accurately and reliably predict the development of acute compartment syndrome in a non-invasive, longitudinal manner. "Access to a precise, reliable, and noninvasive method for early diagnosis of ACS would be a landmark achievement in orthopaedic and emergency medicine."

Registry
clinicaltrials.gov
Start Date
November 2011
End Date
March 2012
Last Updated
11 years ago
Study Type
Observational
Sex
All

Investigators

Sponsor
J&M Shuler
Responsible Party
Principal Investigator
Principal Investigator

William Reisman

Principal Investigator

Emory University

Eligibility Criteria

Inclusion Criteria

  • Patients will be included between the ages of thirteen and eighty-five who are willing to participate and have unilateral lower leg injury with a fracture to the tibia.

Exclusion Criteria

  • Patients will be excluded from enrollment if they have bilateral injuries to the lower legs or have been previously diagnosed peripheral vascular disease. Patients will also be excluded if they are not willing to participate.

Outcomes

Primary Outcomes

NIRS values in lower leg extremity injury

Time Frame: 4 days

We will monitor patients during their hospital stay from the time of admission until discharge at likey day 4.

Study Sites (1)

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