Rheumatoid vasculitis of crural muscles confirmed by muscle biopsy in the absence of inflammatory myopathy: histologic and MRI study.

A 60-year-old man who had been diagnosed as rheumatoid arthritis admitted to our hospital by dysesthesia on his legs with edema. Nerve conduction velocity test led to diagnosis of mononeuritis multiplex. Magnetic resonance imaging (MRI) of lower legs showed high intensity in slow tau inversion recovery. Typical vasculitis with neutrophil-dominant cell infiltration was observed by muscle biopsy without inflammatory myopathy or fascitis. Diagnosis was made by rheumatoid vasculitis found in crural muscles. Intravenous cyclophosphamide with oral tacrolimus effectively improved dysesthesia with reduction of inflammatory response

Health-related quality of life in young adult patients with rheumatoid arthritis in Iran: reliability and validity of the Persian translation of the PedsQL™ 4.0 Generic Core Scales Young Adult Version

The objective of the present study was to determine the reliability and validity of the Persian translation of the Pediatric Quality of Life Inventory (PedsQL™) 4.0 Generic Core Scales Young Adult Version in an Iranian sample of young adult patients with rheumatoid arthritis (RA). One hundred ninety-seven young adult patients with RA completed the 23-item PedsQL™ and the 36-item Short-Form Health Survey (SF-36). Disease activity based on Disease Activity Score 28 was also measured. Internal consistency and test-retest reliability, as well as construct, discriminant, and convergent validity, were tested. Confirmatory factor analysis (CFA) was used to verify the original factor structure of the PedsQL™. Also, responsiveness to change in PedsQL™ scores over time was assessed. Cronbach's alpha coefficients ranged from α = 0.82 to α = 0.91. Test-retest reproducibility was satisfactory for all scales and the total scale score. The PedsQL proved good convergent validity with the SF-36. The PedsQL distinguished well between young adult patients and healthy young adults and also RA groups with different comorbidities. The CFA did not confirm the original four-factor model, instead, analyses revealed a best-fitting five-factor model for the PedsQL™ Young Adult Version. Repeated measures analysis of variance indicated that the PedsQL scale scores for young adults increased significantly over time. The Persian translation of the PedsQL™ 4.0 Generic Core Scales Young Adult Version demonstrated good psychometric properties in young adult patients with RA and can be recommended for the use in RA research in Iran

Clinical applications of musculoskeletal modelling for the shoulder and upper limb

Musculoskeletal models have been developed to estimate internal loading on the human skeleton, which cannot directly be measured in vivo, from external measurements like kinematics and external forces. Such models of the shoulder and upper extremity have been used for a variety of purposes, ranging from understanding basic shoulder biomechanics to assisting in preoperative planning. In this review, we provide an overview of the most commonly used large-scale shoulder and upper extremity models and categorise the applications of these models according to the type of questions their users aimed to answer. We found that the most explored feature of a model is the possibility to predict the effect of a structural adaptation on functional outcome, for instance, to simulate a tendon transfer preoperatively. Recent studies have focused on minimising the mismatch in morphology between the model, often derived from cadaver studies, and the subject that is analysed. However, only a subset of the parameters that describe the model's geometry and, perhaps most importantly, the musculotendon properties can be obtained in vivo. Because most parameters are somehow interrelated, the others should be scaled to prevent inconsistencies in the model's structure, but it is not known exactly how. Although considerable effort is put into adding complexity to models, for example, by making them subject-specific, we have found little evidence of their superiority over current models. The current trend in development towards individualised, more complex models needs to be justified by demonstrating their ability to answer questions that cannot already be answered by existing models.</p