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Development and Pre-validation of a Machine Learning-based Prediction Algorithm for Early Functional Recovery in Patients Undergoing Hip and Knee Replacement Surgery

Recruitingn/aAges 18 Years - anyAllIstituto Ortopedico Rizzoli
NCT07333560 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

The goal of this observational study is to develop and pre-validate a machine learning algorithm to predict early recovery of mobility in patients undergoing hip or knee joint replacement surgery. The primary research question is: Can a machine learning model accurately classify patients with faster versus slower recovery of autonomous mobility in the first days after joint replacement surgery? Patients who have undergone elective hip or knee arthroplasty and received post-operative physiotherapy will have their clinical and perioperative data collected retrospectively (2020-2023) and prospectively (March 2026-December 2027). The algorithm will be trained on retrospective data and tested prospectively to evaluate its predictive performance for early mobilization and length of hospital stay.

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📋 Eligibility rules (as published)
Inclusion Criteria: * Adults aged 18 years or older * Patients underwent elective hip or knee arthroplasty. * Patients for whom postoperative physiotherapy was initiated. Exclusion Criteria: * Patients who underwent surgery for oncologic disease, femoral fracture, or revision joint arthroplasty. * Patients for whom postoperative physiotherapy was not provided due to postoperative complications * clinical data are unavailable.
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What it tests

  • Predictive Model for Early Mobility Recovery and Length of Stay
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Where

2 sites
SAITeR IRCCS Istituto Ortopedico Rizzoli
Bologna, Italy
Azienda U.S.L. - IRCCS di Reggio Emilia
Reggio Emilia, Italy
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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