Eric Parent1, Hélène Moffet. 1. CIRRIS Research Center, Quebec Rehabilitation Institute, 525 Boulevard Hamel, Room B-77, Quebec City, PQ, Canada G1M 2S8.
Abstract
OBJECTIVE: To identify preoperative predictors of locomotor ability 2 months after total knee arthroplasty (TKA). METHODS: Sixty-five participants scheduled for a first TKA were recruited. The dependent variable was the distance covered during the 6-minute gait test 2 months after TKA. The independent variables, measured before surgery, were grouped into 3 categories: 1). personal; 2). organic system, and 3). capability variables. Multiple regression analyses were conducted to determine the best predictors of the dependent variable. Modified cross-validation of the model combining predictors from the three categories was obtained with 10 random samples derived from the original cohort by resampling with replacement. RESULTS: Predictors were identified in the 3 categories: 1). gender, number of comorbidities, body mass index, 2). knee pain, flexion and strength, lower limb mechanical power, and 3). preoperative 6-minute gait distance. When these variables were modeled together only the preoperative 6-minute gait distance and knee pain and flexion remained significant (adjusted R(2) = 0.66). CONCLUSION: Using variables easily measured before surgery, it is possible to predict with good accuracy locomotor ability 2 months after TKA.
OBJECTIVE: To identify preoperative predictors of locomotor ability 2 months after total knee arthroplasty (TKA). METHODS: Sixty-five participants scheduled for a first TKA were recruited. The dependent variable was the distance covered during the 6-minute gait test 2 months after TKA. The independent variables, measured before surgery, were grouped into 3 categories: 1). personal; 2). organic system, and 3). capability variables. Multiple regression analyses were conducted to determine the best predictors of the dependent variable. Modified cross-validation of the model combining predictors from the three categories was obtained with 10 random samples derived from the original cohort by resampling with replacement. RESULTS: Predictors were identified in the 3 categories: 1). gender, number of comorbidities, body mass index, 2). knee pain, flexion and strength, lower limb mechanical power, and 3). preoperative 6-minute gait distance. When these variables were modeled together only the preoperative 6-minute gait distance and knee pain and flexion remained significant (adjusted R(2) = 0.66). CONCLUSION: Using variables easily measured before surgery, it is possible to predict with good accuracy locomotor ability 2 months after TKA.
Authors: Cory L Christiansen; Michael J Bade; Roger J Paxton; Jennifer E Stevens-Lapsley Journal: Clin Biomech (Bristol, Avon) Date: 2015-05-09 Impact factor: 2.063
Authors: Roger J Paxton; Jeri E Forster; Matthew J Miller; Kristine L Gerron; Jennifer E Stevens-Lapsley; Cory L Christiansen Journal: J Aging Phys Act Date: 2017-11-30 Impact factor: 1.961
Authors: Jesse C Christensen; Roger J Paxton; Carol Baym; Jeri E Forster; Michael R Dayton; Craig A Hogan; Jennifer E Stevens-Lapsley Journal: Disabil Rehabil Date: 2019-01-07 Impact factor: 3.033
Authors: Jessica Maxwell; Jingbo Niu; Jasvinder A Singh; Michael C Nevitt; Laura Frey Law; David Felson Journal: J Bone Joint Surg Am Date: 2013-06-05 Impact factor: 5.284