scholarly journals NonREM Disorders of Arousal and Related Parasomnias: an Updated Review

2021 ◽  
Author(s):  
Muna Irfan ◽  
Carlos H. Schenck ◽  
Michael J Howell
Keyword(s):  
SLEEP ◽  
2019 ◽  
Author(s):  
Paola Proserpio ◽  
Giuseppe Loddo ◽  
Frederic Zubler ◽  
Luigi Ferini-Strambi ◽  
Laura Licchetta ◽  
...  

Abstract Objective The differential diagnosis between sleep-related hypermotor epilepsy (SHE) and disorders of arousal (DOA) may be challenging. We analyzed the stage and the relative time of occurrence of parasomnic and epileptic events to test their potential diagnostic accuracy as criteria to discriminate SHE from DOA. Methods Video-polysomnography recordings of 89 patients with a definite diagnosis of DOA (59) or SHE (30) were reviewed to define major or minor events and to analyze their stage and relative time of occurrence. The “event distribution index” was defined on the basis of the occurrence of events during the first versus the second part of sleep period time. A group analysis was performed between DOA and SHE patients to identify candidate predictors and to quantify their discriminative performance. Results The total number of motor events (i.e. major and minor) was significantly lower in DOA (3.2 ± 2.4) than in SHE patients (6.9 ± 8.3; p = 0.03). Episodes occurred mostly during N3 and N2 in DOA and SHE patients, respectively. The occurrence of at least one major event outside N3 was highly suggestive for SHE (p = 2*e-13; accuracy = 0.898, sensitivity = 0.793, specificity = 0.949). The occurrence of at least one minor event during N3 was highly suggestive for DOA (p = 4*e-5; accuracy = 0.73, sensitivity = 0.733, specificity = 0.723). The “event distribution index” was statistically higher in DOA for total (p = 0.012) and major events (p = 0.0026). Conclusion The stage and the relative time of occurrence of minor and major motor manifestations represent useful criteria to discriminate DOA from SHE episodes.


Author(s):  
Giuseppe Loddo ◽  
Federica Fragiacomo ◽  
Greta Mainieri ◽  
Susanna Mondini ◽  
Giorgio Buzzi ◽  
...  

2008 ◽  
Vol 37 (7) ◽  
pp. 481-487 ◽  
Author(s):  
Bobbi Hopkins ◽  
Daniel Glaze
Keyword(s):  

1995 ◽  
Vol 25 (1) ◽  
pp. 19-27 ◽  
Author(s):  
R Silvestri ◽  
P de Domenico ◽  
G Mento ◽  
A Laganà ◽  
R di Perri

Neurology ◽  
2020 ◽  
Vol 96 (1) ◽  
pp. e121-e130
Author(s):  
Régis Lopez ◽  
Christine Laganière ◽  
Sofiène Chenini ◽  
Anna Laura Rassu ◽  
Elisa Evangelista ◽  
...  

ObjectivesTo highlight the slow-wave sleep (SWS) fragmentation and validate the video-polysomnographic (vPSG) criteria and cutoffs for the diagnosis of disorders of arousal (DOA) in children, as already reported in adults.MethodsOne hundred children (66 boys, 11.0 ± 3.3 years) with frequent episodes of DOA and 50 nonparasomniac children (32 boys, 10.9 ± 3.9 years) underwent vPSG recording to quantify SWS characteristics (number of N3 sleep interruptions, fragmentation index, slow/mixed and fast arousal ratios, and indexes per hour) and associated behaviors. We compared SWS characteristics in the 2 groups and defined the optimal cutoff values for the diagnosis of DOA using receiver operating characteristic curves.ResultsPatients with DOA had higher amounts of N3 and REM sleep, number of N3 interruptions, SWS fragmentation, and slow/mixed arousal indexes than controls. The highest area under the curve (AUC) values were obtained for SWS fragmentation and slow/mixed arousal indexes with satisfactory classification performances (AUC 0.80, 95% confidence interval [CI] 0.73–0.87; AUC 0.82, 95% CI 0.75–0.89). SWS fragmentation index cutoff value of 4.1/h reached a sensitivity of 65.0% and a specificity of 84.0%. Slow/mixed arousal index cutoff of 3.8/h reached a sensitivity of 69.0% and a specificity of 82.0%. At least one parasomniac episode was recorded in 63.0% of patients and none of the controls. Combining behavioral component by vPSG increased sensitivity of both biomarkers to 83% and 89%, respectively.ConclusionsWe confirmed that SWS fragmentation and slow/mixed arousal indexes are 2 relevant biomarkers for the diagnosis of DOA in children, with different cutoffs obtained than those validated in adults.Classification of EvidenceThis study provides Class III evidence that SWS fragmentation and slow/mixed arousal indexes on vPSG accurately identify children with DOA.


2017 ◽  
Vol 40 ◽  
pp. e75
Author(s):  
R. Lopez ◽  
Y. Shen ◽  
L. Barateau ◽  
S. Chenini ◽  
E. Evangelista ◽  
...  
Keyword(s):  

2019 ◽  
Vol 23 (4) ◽  
pp. 1309-1314
Author(s):  
Giuseppe Loddo ◽  
Luca Vignatelli ◽  
Corrado Zenesini ◽  
Francesco Lusa ◽  
Luisa Sambati ◽  
...  

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