Reliability of Sensor Spacing for Near Infrared Spectroscopy in Traumatic Tibia Fractures: An Observational Study
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Orthopedic Disorders
- Sponsor
- Emory University
- Enrollment
- 14
- Locations
- 1
- Primary Endpoint
- NIRS measurements as compared to clinical findings
- Status
- Completed
- Last Updated
- 9 years ago
Overview
Brief Summary
This is a study intended to evaluate a non-invasive device that uses light to measure the amount of oxygen in the muscles of injured and non-injured legs in specific situations. The name of this technology is NIRS (near-infrared spectroscopy). The goal of this study is to collect the information necessary to understand the use of the NIRS monitoring system to diagnose and direct treatment decisions in case of complications sometimes experienced in traumatic tibia fracture, such as excessive swelling called acute compartment syndrome (ACS).
Detailed Description
This study seeks to further develop the use of NIRS technology in the diagnosis of acute compartment syndrome. NIRS values normally increase in traumatized legs compared to the contralateral uninjured leg or forearm, indicative of a hyperemic response. The investigators hopes to build upon the current knowledge and verify the ability to accurately detect ACS using two easily identified and accessible leg compartments, the anterior and superficial posterior utilizing the Nonin 7600 oximeter with the Sensor Model 8004CV. Additionally, since this device was originally designed with brain tissue in mind, the NIRS device will collect vital engineering data that will be used to validate the algorithm used to produce the oxygenation values in injured muscle tissue.
Investigators
William Reisman
William Reisman MD
Emory University
Eligibility Criteria
Inclusion Criteria
- •Unilateral leg injury
- •Enrolled within 48 hours of injury
- •Subjects with 'severe' leg injuries presenting at trauma center that meet at least one of the following from each group below:
- •Anatomic location:
- •Tibia/Fibula shaft fracture
- •Tibial plateau fracture (Schatzker III-VI)
- •High Energy Mechanism of Injury:
- •Fall from \>8 foot height
- •Motor vehicle collision (\> 15 mph)
- •Motor vehicle versus pedestrian accident
Exclusion Criteria
- •Application of NIRS monitoring would be an impediment to care
- •Known prior leg fractures, patient has already undergone fasciotomy of the injured leg prior to enrollment
- •History of peripheral vascular disease or concurrent lower extremity vascular injury/surgery
- •Admission for atraumatic medical reasons
- •Subject is unable to provide informed consent, or consent cannot be obtained from a legally authorized representative
- •Complete spinal cord injuries, bilateral upper extremity injuries, or amputation/mangled lower extremity
- •Patients who are in police custody at presentation to the hospital or who are pregnant
- •Patient has an open injury on the injured leg that is large enough that at least one NIRS sensor cannot be safely placed over the compartment
- •Bilateral leg injuries
- •Not able to be enrolled within 48 hours after injury
Outcomes
Primary Outcomes
NIRS measurements as compared to clinical findings
Time Frame: Participants will be followed for the duration of hospital stay, an expected average of 72 hours
Assess the accuracy of the Nonin 7600 oximeter with the Sensor Model 8004CV in the diagnosis of Acute Compartment Syndrome, using the "gold standard" criterion for ACS, which will be "clinical diagnosis". That is, all subjects undergoing fasciotomy for clinically diagnosed ACS will be considered to have ACS. NIRS values will be compared to clinical diagnosis to determine accuracy and threshold values.
Secondary Outcomes
- Accuracy of NIRS measurements compared to Intracompartmental pressure (ICP) measurements(Participants will be followed for the duration of hospital stay, an expected average of 72 hours)
- Correlation between NIRS measurements between injured and uninjured extremity(Participants will be followed for the duration of hospital stay, an expected average of 72 hours)