Volar Cortical Integrity in Non-Operatively Treated Adult Distal Radius Fractures
John Erickson1, Wylie Lopez1, Owolabi Shonuga1
1Department of Orthpaedic Surgery, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
Abstract:
Background: We sought to independently validate published data that volar cortical integrity (VCI) is an independent predictor of maintenance of closed reduction in a series of non-surgically treated distal radius fractures, while simultaneously investigating previously reported predictors of instability. Our null hypothesis was that volar cortical integrity would not affect maintenance of reduction. Methods: Four hundred thirty-three adult distal radius fractures were screened from our Orthopedic database with 112 meeting inclusion criteria. Two groups were determined on the basis of maintenance of reduction (MOR) or loss of reduction (LOR) at 5-6 weeks post-reduction. Bivariate analysis was applied to previously published instability factors along with VCI. A forward stepwise logistic regression was then used to identify instability factors that, as a group, are most predictive of outcome. Results: Results of 112 patients were collected. Reduction was maintained in 62 patients (55.35%) at 5-6 weeks Biivariate analysis showed a statistically significant difference in volar cortical integrity between the 2 groups (80.6% MOR vs 59.2% LOR). Forward stepwise logistic regression analysis of subgroups revealed that post-reduction radial height and VCI were together statistically significant in the model. The presence of VCI, post-reduction radial height greater than or equal to ulnar neutral at the time of initial reduction resulted in a 67.8% successful MOR. Conclusions: We were able to confirm the importance of volar cortical integrity as a predictor of successful maintenance of reduction in non-surgically managed distal radius fractures. When combined with post-reduction radial height greater than or equal to ulnar neutral at the time of initial reduction, it showed a 67.8% MOR with non-operative management in our data-set.
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