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Development of preoperative prediction models for pain and functional outcome after total knee arthroplasty using The Dutch Arthroplasty Register (LROI) data

Journal of Arthroplasty Oct 30, 2019

Tolk JJ, et al. - Using data from the LROI (Dutch Arthroplasty Register) of all total knee arthroplasty (TKA) patients with pre- and postoperative PROMs recorded, researchers sought to develop as well as validate models that foretell residual symptoms for patients receiving primary TKA for knee osteoarthritis. Data analysis was done including data from 7,071 patients. They found that residual complaints following TKA were present in a considerable proportion of patients. The likelihood of residual symptoms post-TKA could be predicted by using demographic and PROMs data gathered in the LROI. Using multivariable logistic regression analyses, predictive algorithms for satisfaction, treatment success, and residual symptoms concerning pain at rest and during activity, sit-to-stand movement, stair negotiation, walking, performance of activities of daily living, kneeling and squatting were created. For an individual patient, the likelihood of residual symptoms was predicted by the proposed models on 10 specific items regarding treatment success, functional outcome and pain relief. In patients planned for TKA, individualized expectation management can be benefitted by this prediction.
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