Movement Disorders (revue)

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Essential tremor centralized brain repository: Diagnostic validity and clinical characteristics of a highly selected group of essential tremor cases

Identifieur interne : 001709 ( Istex/Curation ); précédent : 001708; suivant : 001710

Essential tremor centralized brain repository: Diagnostic validity and clinical characteristics of a highly selected group of essential tremor cases

Auteurs : Elan D. Louis [États-Unis] ; Sarah Borden [États-Unis] ; Carol B. Moskowitz [États-Unis]

Source :

RBID : ISTEX:BF09DE4B0E2C9C625A2661E13C07FDBB52818629

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Abstract

We studied essential tremor (ET) cases enrolled in the Essential Tremor Centralized Brain Repository to (1) assess the validity of their diagnoses and (2) characterize the clinical features in a group of highly selected cases who might reflect a far end of the disease spectrum. Our over‐arching goal was to provide a perspective of ET that complements that derived from population‐based and clinic‐based studies. Based on a history and videotaped examination, 94 of 100 ET cases had their diagnoses confirmed; most of the remainder had Parkinson's disease. When compared with ET cases ascertained through populations and clinics, a large proportion had been prescribed medication for tremor (87.2%), had a family history of tremor (88.3%), had rest tremor (33.0%), or had neck tremor (60.6%). One patient had facial tremor, which has not been reported previously. As has been reported once before, a large proportion wore hearing aids (26.9% of the 67 participants age ≥ 70). In summary, diagnostic validity was high. In terms of their clinical characteristics, the high proportion of cases with severe tremor and varied disease manifestations (neck tremor, rest tremor) make these cases a valuable resource in pathological studies; the high proportion with familial tremor would provide an enriched sample for genetic studies. © 2005 Movement Disorder Society

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DOI: 10.1002/mds.20583

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ISTEX:BF09DE4B0E2C9C625A2661E13C07FDBB52818629

Le document en format XML

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