Publications by authors named "C C Kaeding"
A Novel Machine Learning Model to Predict Revision ACL Reconstruction Failure in the MARS Cohort.
Orthop J Sports Med
November 2024
Article Synopsis
- The study used machine learning techniques to analyze data from the Multicenter ACL Revision Study (MARS) to better understand factors influencing graft failure after anterior cruciate ligament reconstruction (rACLR).
- The researchers examined information from 960 patients over a 6-year period, discovering that 5.7% experienced graft failure, with the AutoPrognosis model showing the best prediction accuracy.
- Key factors affecting graft failure included the history of compromised femoral and tibial tunnels and the type of allograft used in the current surgery.
Surgical Predictors of Clinical Outcome 6 Years After Revision ACL Reconstruction.
Am J Sports Med
November 2024
Background: Revision anterior cruciate ligament (ACL) reconstruction has been documented to have inferior outcomes compared with primary ACL reconstruction. The reasons why remain unknown.
Purpose: To determine whether surgical factors performed at the time of revision ACL reconstruction can influence a patient's outcome at 6-year follow-up.
Background/objectives: The objective of this study was to test the hypothesis that vitamin D deficiency (i.e., serum 25-hydroxyvitamin D (25(OH)D) ≤ 20 ng/mL) associates with the increased occurrence and shortened time to a knee osteoarthritis (OA) diagnosis after anterior cruciate ligament reconstruction (ACLR).
View Article and Find Full Text PDFObjective: Body mass index is known to contribute to outcomes for patients with knee osteoarthritis. Furthermore, body mass index influences the protein expression of orthobiologic treatments like platelet-rich plasma and microfragmented adipose tissue. We performed a secondary analysis of the association of body mass index with patient-reported outcomes for patients with knee osteoarthritis who received either platelet-rich plasma or microfragmented adipose tissue injections.
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