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Automatic analysis of muscular activity in the flexor digitorum superficialis muscles: a fast screening method for rapid eye movement sleep without atonia

STUDY OBJECTIVES: To identify a fast and reliable method for rapid eye movement (REM) sleep without atonia (RWA) quantification. METHODS: We analyzed 36 video-polysomnographies (v-PSGs) of isolated REM sleep behavior disorder (iRBD) patients and 35 controls’ v-PSGs. Patients diagnosed with RBD had:...

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Detalles Bibliográficos
Autores principales: Cesari, Matteo, Heidbreder, Anna, Gaig, Carles, Bergmann, Melanie, Brandauer, Elisabeth, Iranzo, Alex, Holzknecht, Evi, Santamaria, Joan, Högl, Birgit, Stefani, Ambra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9995778/
https://www.ncbi.nlm.nih.gov/pubmed/34984464
http://dx.doi.org/10.1093/sleep/zsab299
Descripción
Sumario:STUDY OBJECTIVES: To identify a fast and reliable method for rapid eye movement (REM) sleep without atonia (RWA) quantification. METHODS: We analyzed 36 video-polysomnographies (v-PSGs) of isolated REM sleep behavior disorder (iRBD) patients and 35 controls’ v-PSGs. Patients diagnosed with RBD had: i) RWA, quantified with a reference method, i.e. automatic and artifact-corrected 3-s Sleep Innsbruck Barcelona (SINBAR) index in REM sleep periods (RSPs, i.e. manually selected portions of REM sleep); and ii) v-PSG-documented RBD behaviors. We quantified RWA with other (semi)-automated methods requiring less human intervention than the reference one: the indices proposed by the SINBAR group (the 3-s and 30-s phasic flexor digitorum superficialis (FDS), phasic/”any”/tonic mentalis), and the REM atonia, short and long muscle activity indices (in mentalis/submentalis/FDS muscles). They were calculated in whole REM sleep (i.e. REM sleep scored following international guidelines), in RSPs, with and without manual artifact correction. Area under curves (AUC) discriminating iRBD from controls were computed. Using published cut-offs, the indices’ sensitivity and specificity for iRBD identification were calculated. Apnea-hypopnea index in REM sleep (AHI(REM)) was considered in the analyses. RESULTS: RWA indices from FDS muscles alone had the highest AUCs and all of them had 100% sensitivity. Without manual RSP selection and artifact correction, the “30-s phasic FDS” and the “FDS long muscle activity” had the highest specificity (85%) with AHI(REM) < 15/h. RWA indices were less reliable when AHI(REM)≥15/h. CONCLUSIONS: If AHI(REM)<15/h, FDS muscular activity in whole REM sleep and without artifact correction is fast and reliable to rule out RWA.