Literature DB >> 32940050

SF-36 Physical Component Score Is Predictive of Achieving a Clinically Meaningful Improvement after Osteochondral Allograft Transplantation of the Femur.

Kwadwo A Owusu-Akyaw1, Jennifer Bido1, Tyler Warner1, Scott A Rodeo1, Riley J Williams1.   

Abstract

BACKGROUND: Osteochondral allograft (OCA) transplantation is an increasingly common treatment for patients with symptomatic focal chondral lesions of the knee. There has been increasing interest in determining predictive factors to maximize patient benefit after this operation. The aim of the present study is to evaluate the predictive association of the physical component (PCS) and mental component (MCS) scores of the Short Form 36 (SF-36) questionnaire for achievement of the minimal clinically important difference (MCID) after OCA transplantation.
METHODS: This retrospective study of a longitudinally maintained institutional registry included 91 patients who had undergone OCA transplantation for symptomatic focal osteochondral lesions of the femoral condyle. Included patients were those with complete preoperative questionnaires for the SF-36 and IKDC and completed postoperative IKDC at 2-year follow-up. Multivariate analysis was performed evaluating predictive association of the preoperative MCS and PCS with achievement of the MCID for the IKDC questionnaire.
RESULTS: Logistic multivariate modeling demonstrated a statistically significant association between lower preoperative PCS and achievement of the MCID (P = 0.022). A defect diameter >2 cm was also associated with achievement of MCID (P = 0.049). Preoperative MCS did not demonstrate a significant association (P = 0.09) with achievement of the MCID.
CONCLUSIONS: For this cohort of 91 patients, the preoperative SF-36 PCS and lesion size were predictive of achievement of the MCID at 2-year follow-up after femoral OCA transplantation. These findings support an important role of baseline physical health scores for predicting which patients will obtain a meaningful clinical benefit from this surgery.

Entities:  

Keywords:  articular cartilage; cartilage transplantation; general; grafts; outcome measures; tissue

Mesh:

Year:  2020        PMID: 32940050      PMCID: PMC8808818          DOI: 10.1177/1947603520958132

Source DB:  PubMed          Journal:  Cartilage        ISSN: 1947-6035            Impact factor:   3.117


  34 in total

Review 1.  Scoring the SF-36 in Orthopaedics: A Brief Guide.

Authors:  Nicholas C Laucis; Ron D Hays; Timothy Bhattacharyya
Journal:  J Bone Joint Surg Am       Date:  2015-10-07       Impact factor: 5.284

2.  Lesion Size Does Not Predict Outcomes in Fresh Osteochondral Allograft Transplantation.

Authors:  Luis E P Tírico; Julie C McCauley; Pamela A Pulido; William D Bugbee
Journal:  Am J Sports Med       Date:  2018-01-23       Impact factor: 6.202

3.  The role of artificial intelligence and machine learning in predicting orthopaedic outcomes.

Authors:  Lee Bayliss; Luke D Jones
Journal:  Bone Joint J       Date:  2019-12       Impact factor: 5.082

4.  The Minimal Clinically Important Difference and Substantial Clinical Benefit in the Patient-Reported Outcome Measures of Patients Undergoing Osteochondral Allograft Transplantation in the Knee.

Authors:  Takahiro Ogura; Jakob Ackermann; Alexandre Barbieri Mestriner; Gergo Merkely; Andreas H Gomoll
Journal:  Cartilage       Date:  2018-11-22       Impact factor: 4.634

5.  Development and validation of the international knee documentation committee subjective knee form.

Authors:  J J Irrgang; A F Anderson; A L Boland; C D Harner; M Kurosaka; P Neyret; J C Richmond; K D Shelborne
Journal:  Am J Sports Med       Date:  2001 Sep-Oct       Impact factor: 6.202

6.  Can Preoperative Patient-reported Outcome Measures Be Used to Predict Meaningful Improvement in Function After TKA?

Authors:  Jonathan L Berliner; Dane J Brodke; Vanessa Chan; Nelson F SooHoo; Kevin J Bozic
Journal:  Clin Orthop Relat Res       Date:  2017-01       Impact factor: 4.176

7.  Do fresh osteochondral allografts successfully treat femoral condyle lesions?

Authors:  Yadin D Levy; Simon Görtz; Pamela A Pulido; Julie C McCauley; William D Bugbee
Journal:  Clin Orthop Relat Res       Date:  2013-01       Impact factor: 4.176

8.  Machine Learning and Primary Total Knee Arthroplasty: Patient Forecasting for a Patient-Specific Payment Model.

Authors:  Sergio M Navarro; Eric Y Wang; Heather S Haeberle; Michael A Mont; Viktor E Krebs; Brendan M Patterson; Prem N Ramkumar
Journal:  J Arthroplasty       Date:  2018-09-05       Impact factor: 4.757

Review 9.  Large Osteochondral Allografts of the Knee: Surgical Technique and Indications.

Authors:  Gabriele Pisanu; Umberto Cottino; Federica Rosso; Davide Blonna; Antonio Giulio Marmotti; Corrado Bertolo; Roberto Rossi; Davide E Bonasia
Journal:  Joints       Date:  2018-03-13

Review 10.  How Much Do Psychological Factors Affect Lack of Return to Play After Anterior Cruciate Ligament Reconstruction? A Systematic Review.

Authors:  Benedict U Nwachukwu; Joshua Adjei; Ryan C Rauck; Jorge Chahla; Kelechi R Okoroha; Nikhil N Verma; Answorth A Allen; Riley J Williams
Journal:  Orthop J Sports Med       Date:  2019-05-22
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