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Progressive development of augmentation during long-term treatment with levodopa in restless legs syndrome: results of a prospective multi-center study

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Autore
Hogl, B.; Garcia-Borreguero, D.; Kohnen, R.; Ferini-Strambi, L.; Hadjigeorgiou, G.; Hornyak, M.; de Weerd, A.; Happe, S.; Stiasny-Kolster, K.; Gschliesser, V.; Egatz, R.; Frauscher, B.; Benes, H.; Trenkwalder, C.; Hening, W. A.; Allen, R. P.
Data
2010
DOI
10.1007/s00415-009-5299-8
Soggetto
Restless legs syndrome (RLS)
Augmentation
Diagnosis
Rating scale
Clinical study
DOUBLE-BLIND
L-DOPA
CROSSOVER TRIAL
RATING-SCALE
CABERGOLINE
VALIDATION
SLEEP
CARBIDOPA/LEVODOPA
ASSOCIATION
MOVEMENTS
Clinical Neurology
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Abstract
The European Restless Legs Syndrome (RLS) Study Group performed the first multi-center, long-term study systematically evaluating RLS augmentation under levodopa treatment. This prospective, open-label 6-month study was conducted in six European countries and included 65 patients (85% treatment naive) with idiopathic RLS. Levodopa was flexibly up-titrated to a maximum dose of 600 mg/day. Presence of augmentation was diagnosed independently by two international experts using established criteria. In addition to the augmentation severity rating scale (ASRS), changes in RLS severity (International RLS severity rating scale (IRLS), clinical global impression (CGI)) were analyzed. Sixty patients provided evaluable data, 35 completed the trial and 25 dropped out. Augmentation occurred in 60% (36/60) of patients, causing 11.7% (7/60) to drop out. Median time to occurrence of augmentation was 71 days. The mean maximum dose of levodopa was 311 mg/day (SD: 105). Patients with augmentation compared to those without were significantly more likely to be on higher doses of levodopa (a parts per thousand yen300 mg, 83 vs. 54%, P = 0.03) and to show less improvement of symptom severity (IRLS, P = 0.039). Augmentation was common with levodopa, but could be tolerated by most patients during this 6-month trial. Patients should be followed over longer periods to determine if dropout rates increase with time.
URI
http://hdl.handle.net/11615/28499
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