医学
关节病
血友病
亚临床感染
磁共振成像
体格检查
前胶原肽酶
前瞻性队列研究
放射科
外科
内科学
骨关节炎
病理
替代医学
作者
Domen Plut,Barbara Faganel Kotnik,Irena Preložnik Zupan,Damjana Ključevšek,Gaj Vidmar,Žiga Snoj,Vladka Salapura
出处
期刊:Haemophilia
[Wiley]
日期:2020-11-08
卷期号:27 (1): 156-163
被引量:17
摘要
Introduction Progressive arthropathy is the main cause of morbidity in patients with severe haemophilia. Diagnostic imaging can detect even subclinical arthropathy and impact prophylactic treatment. However, in most clinical settings the regular joint evaluation and follow-up are based on clinical evaluation and patient's personal reporting of problems, while diagnostic imaging is not regularly employed. Aim The aim of our prospective study was to assess how ultrasound (US), clinical examination, patient's subjective assessment and certain laboratory biomarkers correlate with magnetic resonance imaging (MRI) for detection and evaluation of haemophilic arthropathy in order to determine which tool is the most reliable. Methods The study included 30 patients with severe haemophilia (age range 16-49 years). MRI (IPSG), US (HEAD-US), clinical examination (HJHS 2.1) and patient's subjective assessment of elbows, knees and ankles were performed; additionally, blood samples for laboratory analysis were taken (s-25-OH vitamin D, s-ferritin, s-C-terminal telopeptide of type I collagen, s-N-terminal propeptide of type I procollagen and s-cartilage oligomeric matrix protein). MRI results were used as a reference standard for joint status. Pearson's r was used to assess correlation of other methods with MRI. Results The correlation with MRI was the highest for US (r = .92), considerably higher than for clinical evaluation (r = .62) and patient's subjective assessment (r = .66). There was no correlation between the presence or degree of haemophilic arthropathy and any of the laboratory biomarkers. Conclusion The results of our study warrant the inclusion of US into the regular follow-up of patients with severe haemophilia, where the equipment and staffing permit.
科研通智能强力驱动
Strongly Powered by AbleSci AI