An Artificial Intelligence-based Approach in Total Knee Arthroplasty: From Inflammatory Responses to Personalized Medicine
概览
- 阶段
- 不适用
- 干预措施
- Total Knee Arthroplasty
- 疾病 / 适应症
- Knee Osteoarthritis
- 发起方
- Fondazione Policlinico Universitario Campus Bio-Medico
- 入组人数
- 197
- 试验地点
- 1
- 主要终点
- Change From Baseline in Knee Society Score (KSS) at 12 months
- 状态
- 招募中
- 最后更新
- 上个月
概览
简要总结
Goal: The goal of this interventional study is to understand how multimodal preoperative data can predict outcomes after Total Knee Arthroplasty (TKA) and improve personalized medicine practices.
Participant Population: The study will enroll 197 patients suffering from symptomatic, end-stage knee osteoarthritis, who are above 18 years old and have functionally intact ligaments.
Main Questions:
- Can multimodal preoperative data, genetic predisposition, and psycho-behavioral characteristics predict outcomes after TKA?
- Can AI models effectively use this data to customize prostheses and surgical interventions, and predict patient outcomes? Comparison Group Information (If applicable): Not specified in the provided details.
Participant Tasks:
- Undergo TKA as per the normal clinical routine.
- Participate in pre- and post-surgical follow-ups including:
- Clinical-functional assessments.
- Administration of clinical scores.
- Collection of biological samples.
- Biomechanical analysis using a stereophotogrammetric system.
- Provide data for the comprehensive multimodal indexed database.
详细描述
Osteoarthritis is one of the most common causes of knee disorders, leading to pain, reduced mobility, and a decline in quality of life. Total knee arthroplasty (TKA) is one of the most established treatments for end-stage osteoarthritis. Despite advancements in surgical techniques, patient dissatisfaction remains high. After surgery, patients often experience swelling, pain, and difficulty with daily activities. Revision surgery is a major challenge, with aseptic loosening occurring in 15-20% of cases. Given the high disability rates and healthcare costs associated with TKA, optimizing patient care is crucial. Artificial intelligence (AI) offers the potential to identify new care profiles. For the first time, AI can integrate multimodal datasets. This approach could lead to personalized treatment for knee osteoarthritis patients, in line with precision medicine principles. This study takes a multidisciplinary approach to better understand the causes of failure and dissatisfaction following TKA. The primary aim of this study is is to create a multimodal database. This database will include structural, genetic, biomechanical, clinical, psychological, biological, stress-related, inflammatory, and demographic data. Using AI, the study aims to build predictive models for post-TKA outcomes. Insights from this research could improve patient management and lead to new therapeutic approaches. Patients suffering from knee osteoarthritis at Fondazione Policlinico Universitario Campus Bio-Medico will be enrolled in this study if they meet the inclusion/exclusion criteria described above. There are no risks for the patients recruited in the study. The total duration of the study is 5 years. The enrolment of patients will start on the 01/10/2024 and will last 12 months for each patient. The Italian Ministry of Health and the Fondazione Policlinico Universitario Campus Bio-Medico supported this study. The PI and also the main contact of this study is professor Umile Giuseppe Longo.
研究者
Umile Giuseppe Longo
Professor
Fondazione Policlinico Universitario Campus Bio-Medico
入排标准
入选标准
- •Symptomatic, end-stage knee osteoarthritis
- •Ligaments functionally intact
- •Age: older than18 years old
排除标准
- •Neurological or other conditions affecting patients ability to join walking trials
- •Inflammatory or infectious arthritis
- •Previous articular fracture or knee surgery (excluding knee arthroscopy and meniscal surgery)
- •Active tumors or pregnancy.
研究组 & 干预措施
Patients who undergo total total knee arthroplasty
The study population comprises 197 patients who require Total Knee Arthroplasty (TKA) due to symptomatic, end-stage knee osteoarthritis. Eligible participants are adults over the age of 18 years with functionally intact ligaments. Exclusion criteria include individuals with neurological or other conditions that affect their ability to participate in walking trials, those with inflammatory or infectious arthritis, previous significant knee surgeries such as articular fractures (excluding knee arthroscopy and meniscal surgery), and those with active tumors or who are pregnant. This population selection is aimed at assessing the efficacy of AI-integrated interventions in improving surgical outcomes and postoperative recovery in a homogeneous group affected by severe knee degeneration.
干预措施: Total Knee Arthroplasty
Patients who undergo total total knee arthroplasty
The study population comprises 197 patients who require Total Knee Arthroplasty (TKA) due to symptomatic, end-stage knee osteoarthritis. Eligible participants are adults over the age of 18 years with functionally intact ligaments. Exclusion criteria include individuals with neurological or other conditions that affect their ability to participate in walking trials, those with inflammatory or infectious arthritis, previous significant knee surgeries such as articular fractures (excluding knee arthroscopy and meniscal surgery), and those with active tumors or who are pregnant. This population selection is aimed at assessing the efficacy of AI-integrated interventions in improving surgical outcomes and postoperative recovery in a homogeneous group affected by severe knee degeneration.
干预措施: Multifaceted diagnostic assessments
Patients who undergo total total knee arthroplasty
The study population comprises 197 patients who require Total Knee Arthroplasty (TKA) due to symptomatic, end-stage knee osteoarthritis. Eligible participants are adults over the age of 18 years with functionally intact ligaments. Exclusion criteria include individuals with neurological or other conditions that affect their ability to participate in walking trials, those with inflammatory or infectious arthritis, previous significant knee surgeries such as articular fractures (excluding knee arthroscopy and meniscal surgery), and those with active tumors or who are pregnant. This population selection is aimed at assessing the efficacy of AI-integrated interventions in improving surgical outcomes and postoperative recovery in a homogeneous group affected by severe knee degeneration.
干预措施: Follow-ups
Patients who undergo total total knee arthroplasty
The study population comprises 197 patients who require Total Knee Arthroplasty (TKA) due to symptomatic, end-stage knee osteoarthritis. Eligible participants are adults over the age of 18 years with functionally intact ligaments. Exclusion criteria include individuals with neurological or other conditions that affect their ability to participate in walking trials, those with inflammatory or infectious arthritis, previous significant knee surgeries such as articular fractures (excluding knee arthroscopy and meniscal surgery), and those with active tumors or who are pregnant. This population selection is aimed at assessing the efficacy of AI-integrated interventions in improving surgical outcomes and postoperative recovery in a homogeneous group affected by severe knee degeneration.
干预措施: Genetic screening
结局指标
主要结局
Change From Baseline in Knee Society Score (KSS) at 12 months
时间窗: Before surgery (Baseline) and at 12 months postoperatively
The KSS is a clinician-based assessment tool that evaluates both knee function and functional activities after knee replacement surgery. Minimum/Maximum Values: The KSS is divided into two parts: knee score and function score, with a combined score ranging from 0 to 100. Higher scores indicate a better outcome in terms of knee function and overall knee health.
Change From Baseline in Oxford Knee Score (OKS) at 12 months
时间窗: Before surgery (Baseline) and at 12 months postoperatively
The OKS is used to assess pain and function in individuals undergoing knee surgery or experiencing knee osteoarthritis, focusing on the patient\'s perspective. Minimum/Maximum Values: The OKS ranges from 0 to 48. Higher scores represent a better outcome, with less pain and better joint function.
Change From Baseline in Knee Injury and Osteoarthritis Outcome Score (KOOS) at 12 months
时间窗: Before surgery (Baseline) and at 12 months postoperatively
The KOOS is widely used to evaluate short- and long-term patient-reported outcomes following knee injury or surgery. Minimum/Maximum Values: The KOOS assesses five dimensions: pain, symptoms, function in daily living, function in sports/recreation, and knee-related quality of life. Each subscale ranges from 0 to 100. Higher scores reflect a better outcome, indicating fewer symptoms and better function.
Change From Baseline in Forgotten Joint Score Short Form (FJS-12) at 12 months
时间窗: Before surgery (Baseline) and at 12 months postoperatively
The FJS-12 measures how much a patient is aware of their joint in daily activities, particularly after joint replacement surgery, with higher scores reflecting greater joint integration. Minimum/Maximum Values: The FJS-12 ranges from 0 to 100. High scores indicate good outcomes
次要结局
- Change from baseline in cadence at 12 months(Before surgery (Baseline) and at 12 months postoperatively)
- Change From Baseline in Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) at 12 months(Before surgery (Baseline) and at 12 months postoperatively)
- Change from baseline in knee range of motion (ROM) at 12 months(Before surgery (Baseline) and at 12 months postoperatively)
- Change from baseline in ground reaction forces at 12 months(Before surgery (Baseline) and at 12 months postoperatively)
- Change from baseline in center of pressure (CoP) at 12 months(Before surgery (Baseline) and at 12 months postoperatively)
- Change from baseline in walking speed at 12 months(Before surgery (Baseline) and at 12 months postoperatively)
- Change from baseline in Step and Stride Length at 12 months(Before surgery (Baseline) and at 12 months postoperatively)
- Change from baseline in osteoarthritis (OA) severity based on the Kellgren-Lawrence score at 12 months(Before surgery (Baseline) and at 12 months postoperatively)
- Change from baseline in joint alignment at 12 months(Before surgery (Baseline) and at 12 months postoperatively)
- Change from baseline in lateral distal femoral angle at 12 months(Before surgery (Baseline) and at 12 months postoperatively)
- Change from baseline in medial proximal tibial angle at 12 months(Baseline (before surgery) and 12 months postoperatively)
- Change from baseline in joint line convergence angle at 12 months(Before surgery (Baseline) and at 12 months postoperatively)
- Change from baseline in tibial slope at 12 months(Before surgery (Baseline) and at 12 months postoperatively)
- Change From Baseline in the fecal microbiota profiles at 12 months(Before surgery and at 12 months postoperatively)