Clinical Research Directory

General Anaesthesia vs Spinal Anaesthesia: Patient Outcomes and Success in Outpatient Primary Total Knee and Hip Arthroplasty

Total knee arthroplasty (TKA) and total hip arthroplasty (THA) are common operations used to treat severe joint disease, most often caused by osteoarthritis. An increasing number of these procedures are now performed as outpatient surgery, meaning that patients can go home on the same day as the operation. This can be beneficial for both patients and healthcare systems, but it requires safe and efficient anaesthetic care. Two different types of anaesthesia are commonly used for these operations: general anaesthesia (where the patient is asleep) and spinal anaesthesia (where the lower part of the body is numbed). Both methods are well established and widely used. Previous studies suggest that the choice of anaesthesia may affect how quickly patients recover, how comfortable they feel after surgery, and whether they can be safely discharged on the day of surgery. However, most existing studies are based on retrospective data, and there is limited randomized evidence comparing these anaesthetic techniques in the outpatient setting. The GASPS trial is a multicentre, randomized, phase IV clinical study that compares general anaesthesia and spinal anaesthesia in adults undergoing outpatient primary total knee or hip arthroplasty. A total of 600 participants will be included and randomly assigned to receive one of the two anaesthetic methods on the day of surgery. All participants will receive standard surgical and perioperative care, and both anaesthetic techniques are part of routine clinical practice. The main aim of the study is to investigate whether the type of anaesthesia influences the chance of successful same-day discharge, defined as going home on the day of surgery without needing to be readmitted within 48 hours. The study will also examine recovery time, pain, nausea and vomiting, use of pain medication, complications, patient-reported recovery and function, and healthcare costs. In addition, patient experiences of anaesthesia and postoperative recovery will be explored through interviews in a smaller group of participants. Participants will be followed using questionnaires and medical records from the day of surgery up to 12 months after the operation. The results of this study are expected to provide clear and reliable information to help guide anaesthetic care for patients undergoing outpatient hip and knee replacement surgery.

3D-Printed Grafts for Knee Cartilage Repair

Research Title:A study on 3D printing-assisted platelet-rich plasma combined with autologous periosteum-bone grafting in the treatment of knee cartilage injury Objectives:(1) To evaluate the accuracy of cartilage damage repair by measuring the chimerism and surface curvature matching degree of 3D printing reconstruction. (2) 3D printing assisted platelerichplasma (PRP) combined with autologous periosteumBone grafting in patients with knee cartilage injury was evaluated for functional and imaging scores to evaluate the clinical effect and cartilage repair effect. Design Type:Prospective randomized controlled trial Research Objects:Unilateral knee cartilage injury area\>2CM2, international cartilagerepair society (ICRS) grade 3-4 patients Sample size: 60 cases (30 patients with 3D printing-assisted autologous periosteum-bone grafting, 3D printing-assisted PRP combined with autologous periosteum.) - 30 patients with bone grafting).Selection Criteria:(1) Age 18\~65 years old; (2) The body mass index (BMI) is 18\~30kg/m2 ； (3) Knee cartilage injury confirmed by imaging examination, knee cartilage injury 2\>cm2, ICRS grade 3-4; (4) There is no obvious abnormality in the lower limb force line; (5) No other drug injection or surgical treatment has been performed locally in the knee joint in the past 1 year. Observation indicators:(1) Clinical function(2) Imaging evaluation: Bilateral knee MRI examination was performed on the second day after surgery Statistical analysis methods:SPSS software was used for data analysis.