Algorithms for the diagnosis and treatment of restless legs syndrome in primary care
| Autor: | Heiner Buschmann, Marco Zucconi, Birgit Högl, K. Ray Chaudhuri, Diego Garcia-Borreguero, Giorgio Carlo Monti, Victor M Gonzalez Rodríguez, Paul Stillman, Claudia Trenkwalder, Ralf Kohnen, Anne-Marie Williams, Heike Benes, Karin Stiasny-Kolster |
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| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: |
medicine.medical_specialty
Neurology Medizinische Fakultät -ohne weitere Spezifikation Consensus Development Conferences as Topic Advisory Committees Clinical Neurology Lifetime prevalence Primary care Neurological disorder lcsh:RC346-429 Diagnosis Differential Drug Therapy Restless Legs Syndrome Surveys and Questionnaires mental disorders Medicine Humans ddc:610 Restless legs syndrome lcsh:Neurology. Diseases of the nervous system Primary Health Care Task force business.industry General Medicine medicine.disease body regions Europe Physical therapy Neurology (clinical) Neurosurgery Differential diagnosis business Algorithm Algorithms Research Article |
| Zdroj: | BMC Neurology BMC Neurology, Vol 11, Iss 1, p 28 (2011) |
| ISSN: | 1471-2377 |
| Popis: | Background Restless legs syndrome (RLS) is a neurological disorder with a lifetime prevalence of 3-10%. in European studies. However, the diagnosis of RLS in primary care remains low and mistreatment is common. Methods The current article reports on the considerations of RLS diagnosis and management that were made during a European Restless Legs Syndrome Study Group (EURLSSG)-sponsored task force consisting of experts and primary care practioners. The task force sought to develop a better understanding of barriers to diagnosis in primary care practice and overcome these barriers with diagnostic and treatment algorithms. Results The barriers to diagnosis identified by the task force include the presentation of symptoms, the language used to describe them, the actual term "restless legs syndrome" and difficulties in the differential diagnosis of RLS. Conclusion The EURLSSG task force reached a consensus and agreed on the diagnostic and treatment algorithms published here. |
| Databáze: | OpenAIRE |
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