Using actigraphy to assess sleep and wake rhythms of narcolepsy type 1 patients: a comparison with primary insomniacs and healthy controls

Damien Leger, Caroline Gauriau, Lorenzo Tonetti, Michaele Lantin, Marco Filardi, Pierre Philip, Brice Faraut, Vincenzo Natale
Sleep Medicine. 2018-12-01; 52: 88-91
DOI: 10.1016/j.sleep.2018.07.024

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1. Sleep Med. 2018 Dec;52:88-91. doi: 10.1016/j.sleep.2018.07.024. Epub 2018 Aug 31.

Using actigraphy to assess sleep and wake rhythms of narcolepsy type 1 patients:
a comparison with primary insomniacs and healthy controls.

Leger D(1), Gauriau C(2), Tonetti L(3), Lantin M(4), Filardi M(5), Philip P(6),
Faraut B(2), Natale V(3).

Author information:
(1)Université Paris Descartes, APHP, Hôtel Dieu, Centre du Sommeil et de la
Vigilance et EA 7330 VIFASOM, Paris, France. Electronic address:
.
(2)Université Paris Descartes, APHP, Hôtel Dieu, Centre du Sommeil et de la
Vigilance et EA 7330 VIFASOM, Paris, France.
(3)University of Bologna, Department of Psychology, Bologna, Italy.
(4)Equipe Anthropologie de la Nuit, Nanterre, France.
(5)University of Bologna, Department of Biomedical and Neuromotor Sciences,
Italy.
(6)Université de Bordeaux, USR SANPSY CNRS 3413, Bordeaux, France.

OBJECTIVE/BACKGROUND: It has been shown that actigraphy may have a discriminant
function (DS) for the diagnosis of narcolepsy type 1 patients (NT1), based on a
combination of nighttime and daytime parameters. Here, we aimed to test those
findings using another actigraph model with a different clinical sample as
control (ie, primary insomniacs, PI), carrying out a secondary analysis of
previously collected data.
PATIENTS/METHODS: The study sample consisted of 13 NT1 (nine females; mean age
39.38 ± 11.48), 13 PI (nine females; mean age 38.69 ± 10.72) and 13 Healthy
Controls (HC) (nine females; mean age 38 ± 10.77). Participants wore the
Actiwatch AW64 (Cambridge Neurotechnology Ltd, Cambridge, UK) around the
non-dominant wrist for seven consecutive days.
RESULTS: Significant differences between groups were observed with a higher
number of episodes of wakefulness (wake bouts, WB) in PI than HC, a higher
fragmentation index (FI) in NT1 than HC and PI, a higher duration of the longest
nap (LNAP) in NT1 than HC and PI and higher DS in PI and NT1 than HC. A new DS
(NDS), with LNAP and FI as independent variables, was proposed; which was higher
in NT1 than HC and PI.
CONCLUSIONS: The present study confirms that actigraphy discriminates NT1 from
HC. However, considering PI, a new discriminant function NDS which takes into
account LNAP and FI is better for this actigraph model.

Copyright © 2018. Published by Elsevier B.V.

DOI: 10.1016/j.sleep.2018.07.024
PMID: 30286385

Auteurs Bordeaux Neurocampus