Leg movement activity during sleep in school-age children and adolescents: a detailed study in normal controls and participants with restless legs syndrome and narcolepsy type 1

Abstract Study Objectives To evaluate leg movement activity during sleep (LMS) in normal school-age children and adolescents, to eventually establish age-specific periodic LMS (PLMS) index thresholds that support the diagnosis of restless legs syndrome (RLS), and to evaluate the utility of other LMS...

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Veröffentlicht in:Sleep (New York, N.Y.) N.Y.), 2018-04, Vol.41 (4)
Hauptverfasser: Ferri, Raffaele, DelRosso, Lourdes M, Aricò, Debora, Zucconi, Marco, Ferini-Strambi, Luigi, Picchietti, Daniel L, Pizza, Fabio, Plazzi, Giuseppe, Manconi, Mauro, Bruni, Oliviero
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Sprache:eng
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Zusammenfassung:Abstract Study Objectives To evaluate leg movement activity during sleep (LMS) in normal school-age children and adolescents, to eventually establish age-specific periodic LMS (PLMS) index thresholds that support the diagnosis of restless legs syndrome (RLS), and to evaluate the utility of other LMS indices. Methods Polysomnographic recordings from 61 controls, 46 children with RLS, and 44 children with narcolepsy type 1 (NT1) were analyzed for total leg movements (LMS), PLMS, and isolated leg movements (ISOLMS) duration and indices, separately for school-age children and adolescents. Moreover, intermovement interval (IMI) graphs and time-of-night distribution of LMS were analyzed, and cut-off thresholds for PLMS index and total LMS index were assessed for the separation of RLS from controls. Results All indices tended to decrease from school-age children to adolescents in normal controls and in NT1, whereas in RLS, only PLMS index increased. All school-age children had a similar IMI distribution with a single peak at IMI 2–4 s followed by gradual decline. In adolescents with RLS, a second peak at IMI 10–50 s was seen. Time-of-night distribution of most indices decreased in RLS, whereas most tended to increase in NT1. A PLMS index cutoff of 2 per hour best differentiated RLS from controls in school-age children (accuracy 70.0%) and in adolescents (accuracy 70.8%); however, most participants with NT1 also showed PLMS indices higher than this threshold. Conclusions PLMS index alone does not reliably predict the diagnosis of RLS in children and adolescents. However, analyses of IMI distribution and time-of-night distribution provide additional elements to support a diagnosis of RLS.
ISSN:0161-8105
1550-9109
DOI:10.1093/sleep/zsy010