Show item record

dc.contributor.authorLauzier Bigué, Julien
dc.contributor.authorDuclos, Catherine
dc.contributor.authorDumont, Marie
dc.contributor.authorPaquet, Jean
dc.contributor.authorBlais, Hélène
dc.contributor.authorMenon, David K.
dc.contributor.authorBernard, Francis
dc.contributor.authorGosselin, Nadia
dc.date.accessioned2020-11-24T17:17:11Z
dc.date.availableNO_RESTRICTIONfr
dc.date.available2020-11-24T17:17:11Z
dc.date.issued2020-02-15
dc.identifier.urihttp://hdl.handle.net/1866/24054
dc.publisherAmerican academy of sleep medicinefr
dc.subjectActigraphyfr
dc.subjectSleepfr
dc.subjectAcute carefr
dc.subjectPolysomnographyfr
dc.subjectTraumatic brain injuryfr
dc.titleValidity of actigraphy for nighttime sleep monitoring in hospitalized patients with traumatic injuriesfr
dc.typeArticlefr
dc.contributor.affiliationUniversité de Montréal. Faculté des arts et des sciences. Département de psychologiefr
dc.identifier.doi10.5664/jcsm.8162
dcterms.abstractStudy objectives: Sleep-wake disturbances are frequent among patients hospitalized for traumatic injuries but remain poorly documented due to the lack of tools validated for hospitalized patients. This study aimed to validate actigraphy for nighttime sleep monitoring of hospitalized patients with severe traumatic injuries, using ambulatory polysomnography (PSG). Methods: We tested 17 patients (30.4 ± 14.7 years, 16.6 ± 8.2 days post-injury) who suffered severe orthopedic injuries and/or spinal cord injury, with or without traumatic brain injury. When medically stable, patients wore an actigraph on a non-paralyzed arm and underwent ambulatory PSG at the bedside. Data were converted to one-minute epochs. The following parameters were calculated for the nighttime period: total sleep time, total wake time, sleep efficiency and number of awakenings. Epoch-by-epoch concordance between actigraphy and PSG was analyzed to derive sensitivity, specificity and accuracy. PSG sleep parameters were compared to those obtained from four actigraphy scoring algorithms by Bland-Altman plotting. Results: Sensitivity to detect sleep was ≥92% and accuracy was >85% for all four actigraphy algorithms used, while specificity varied from 48-60%. The low-activity wake threshold (20 activity counts per epoch) was most closely associated with PSG on all sleep parameters. This scoring algorithm also had the highest specificity (59.9%) and strong sensitivity (92.8%). Conclusions: Actigraphy is valid for monitoring nighttime sleep and wakefulness in patients hospitalized with traumatic injuries, with sensitivity, specificity and accuracy comparable to actigraphic recordings in healthy subjects. A scoring algorithm using a low wake threshold is best suited for this population and setting.fr
dcterms.isPartOfurn:ISSN:1550-9389fr
dcterms.isPartOfurn:ISSN:1550-9397fr
dcterms.languageengfr
UdeM.ReferenceFournieParDeposantPMID: 31992412 PMCID: PMC7053034 (available on 2021-02-15) DOI: 10.5664/jcsm.8162fr
UdeM.VersionRioxxVersion acceptée / Accepted Manuscriptfr
oaire.citationTitleJournal of clinical sleep medicinefr
oaire.citationVolume16fr
oaire.citationIssue2fr


Files in this item

Microsoft Word
Microsoft Word
Microsoft Word
Microsoft Word
Microsoft Word
Microsoft Word

This item appears in the following Collection(s)

Show item record

This document disseminated on Papyrus is the exclusive property of the copyright holders and is protected by the Copyright Act (R.S.C. 1985, c. C-42). It may be used for fair dealing and non-commercial purposes, for private study or research, criticism and review as provided by law. For any other use, written authorization from the copyright holders is required.