Expired Study
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Huntington, West Virginia 25701


Purpose:

The study to determine the if the incidence of Fat Embolism is decreased using Computer Assisted technology when performing a Total Knee Arthroplasty.


Study summary:

Computer assisted total knee arthroplasty is at its inception currently. There are many unknowns about this specific technique, particularly when it comes down to fat embolism syndrome. There is a high incidence of fat embolism during total knee arthroplasty as seen both by echocariography as well as sampling of right atrial blood. During a jig-based, or traditional, total knee arthroplasty, a rod is placed inside the femur, and sometimes the tibia as well. Intrusumentations of the medullary canal is known to cause fat embolism. Fat embolism is a syndrome which can produce post-operative confusion, hypoxemia, all the way to post-op and intra-operative death. Computer assisted total knee arthroplasty does not use intramedullary jigs. It is presumed that by not instrumenting the medullary canal, the rate of fat embolism will be significantly reduced. Fifty patient s will be studied while they are having a computer assisted total knee arthoplasty. A PICC line will be placed in their arm by an interventional radiologist pre-operatively. This PICC line will be thread into the right atrium. Right atrial blood will be sent to pathology every 10 minutes during the 60 to 90 minute procedure and at intervals post-op. The right atrial blood will be stained for bone marrow elements. This study is to presumed to show yet another benefit of computer assisted surgery.


Criteria:

Inclusion Criteria: - Must be a candidate for Computer Assisted Total Knee Arthroplasty Exclusion Criteria: - Mentally incompetent patients excluded


NCT ID:

NCT00656877


Primary Contact:

Principal Investigator
Ali Oliashirazi, MD
Marshall University


Backup Contact:

N/A


Location Contact:

Huntington, West Virginia 25701
United States



There is no listed contact information for this specific location.

Site Status: N/A


Data Source: ClinicalTrials.gov

Date Processed: February 04, 2019

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