滑膜炎
医学
关节病
关节病
物理疗法
步态
外科
骨关节炎
内科学
关节炎
病理
替代医学
作者
Hortensia De la Corte‐Rodríguez,E. Carlos Rodríguez‐Merchán,María Román,Mónica Martín‐Salces,Carlo Martinoli,Víctor Jiménez‐Yuste
出处
期刊:Blood Coagulation & Fibrinolysis
[Ovid Technologies (Wolters Kluwer)]
日期:2020-07-18
卷期号:31 (6): 387-392
被引量:18
标识
DOI:10.1097/mbc.0000000000000934
摘要
In hemophilic patients methods are needed to better diagnose joint damage early, so that treatments can be adjusted to slow the progression of hemophilic arthropathy. The aim of this study is to investigate the relationship between the Hemophilia Joint Health Score version 2.1 (HJHS 2.1) and hemophilia early arthropathy detection with ultrasound (HEAD-US) scales, as well as each of their individual items, to better understand the value each provides on the joint condition of patients with hemophilia. The study included data from patients with hemophilia older than 16 years of age, who attended a routine check-up. HJHS 2.1 and HEAD-US assessments were performed on the elbows, knees and ankles. We studied the correlations and agreements between the two scales and analyzed the relationship between the various items of the HJHS 2.1 (inflammation, duration, atrophy, crepitation, flexion deficit, extension deficit, pain, strength, gait) and HEAD-US (synovitis, cartilage and bone). The study included 203 joints from 66 patients with hemophilia (mean age, 34 years). We found a good correlation between the two scales ( r = 0.717). However, HJHS 2.1 revealed only 54% of the cases with synovitis and 75% of the cases with osteochondral damage. HEAD-US detected several relevant physical and functional aspects in less than 53% of the cases. HJHS 2.1 and HEAD-US provide complementary data on joint disease in adults with hemophilia; both assessments should therefore, be made available. HEAD-US presented the added value of detecting early joint changes (synovitis and osteochondral damage), while HJHS 2.1 showed the added value of detecting relevant physical and functional changes.
科研通智能强力驱动
Strongly Powered by AbleSci AI