Development and Validation of Knee Osteoarthritis Prediction Model Incorporating Metabolic, Mechanical and Radiographic Markers
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 152
- 试验地点
- 1
- 主要终点
- Metabolic marker - Lipid profile, HbA1c
研究概览
简要总结
Osteoarthritis (OA) is a common chronic musculoskeletal disorder, often diagnosed using radiographic and clinical evaluations. However, early disease phases and molecular mechanisms may not be fully captured by these methods. Recent research suggests the role of metabolic, mechanical, and radiographic markers in OA diagnosis. A study will recruit patients with knee osteoarthritis, using x-rays, lipid profiles, HbA1c, and q-angle and tibial torsion as markers. The model aims to improve personalized treatment strategies and management of OA.
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 45.00 Year(s) 至 75.00 Year(s)（—）
- 性别
- All
入选标准
- •Patients with symptomatic knee OA, confirmed by radiographic evidence (Kellgren-Lawrence classification) Unilateral or Bilateral knee OA.
排除标准
- •Osteoporosis
- •Any fixed deformity of lower limb and spine
- •Diagnosis of rheumatoid arthritis, gout, or other inflammatory or autoimmune joint disease.
- •History of TKR or knee surgery that may alter the natural progression of OA
- •Regular use of corticosteroids or other drugs significantly affecting joint metabolism.
- •Unwillingness to provide informed consent.
结局指标
主要结局
Metabolic marker - Lipid profile, HbA1c
时间窗: Baseline
Mechanical marker – Tibial Torsion, Q-angle
时间窗: Baseline
Radiological marker - X-ray
时间窗: Baseline
次要结局
未报告次要终点
研究者
Sahil Kalra
Maharishi Markandeshwar Institute of Physiotherapy and Rehabilitation