Assessment of enthesopathy in patients with fibromyalgia by using new sonographic enthesitis index
| Autor: | Fuat Ozkan, Gozde Yildirim Cetin, Mehmet Fatih Inci, Betul Bakan, Fatih Kocturk, Murvet Yuksel, Mehmet Sayarlioglu |
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| Rok vydání: | 2013 |
| Předmět: |
Adult
Male medicine.medical_specialty Fibromyalgia Enthesopathy Entesopatia Young Adult Rheumatic Diseases Ultrasound Diagnosis medicine Humans In patient Ultrasonography General Environmental Science business.industry Diagnóstico Middle Aged Fibromialgia medicine.disease Enthesitis index Ultrassom Physical therapy General Earth and Planetary Sciences Female Radiology business |
| Zdroj: | Revista Brasileira de Reumatologia (English Edition). 53:335-340 |
| ISSN: | 2255-5021 |
| DOI: | 10.1016/s2255-5021(13)70045-2 |
| Popis: | ObjectiveThe aim of the present study is to determine the frequency of enthesopathy in fibromyalgia (FM) by using a newly developed ultrasonography (US) method, the Madrid Sonography Enthesitis Index (MASEI).MethodsThis study was conducted on 38 consecutive patients with FM and 48 healthy sex- and age-matched controls. Six entheseal sites (olecranon tuberosity, superior and inferior poles of patella, tibial tuberosity, superior and inferior poles of calcaneus) on both lower limbs were evaluated. All US findings were identified according to MASEI. Scores of patients and controls were compared by Student's t-test and Mann-Whitney U-test. Validity was analysed by receiver operating characteristic curve. Values of P 3.5 in the FM group as the best cut-off point to differentiate between cases and controls. No statistically significant correlation was found between the MASEI score and the FM disease duration, and the location of the tender points.ConclusionsMisdiagnoses of FM are harmful to patients and the community, and the presence of enthesopathy among FM patients increases. Its detection with the MASEI score may help to discriminate FM patients presenting with ill-defined symptoms and signs, in order to prevent mistreatment. |
| Databáze: | OpenAIRE |
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