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DC Field | Value | Language |
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dc.contributor.author | Gottlieb, Elie | - |
dc.contributor.author | Churilov, Leonid | - |
dc.contributor.author | Werden, Emilio | - |
dc.contributor.author | Churchward, Thomas J | - |
dc.contributor.author | Pase, Matthew P | - |
dc.contributor.author | Egorova, Natalia | - |
dc.contributor.author | Howard, Mark E | - |
dc.contributor.author | Brodtmann, Amy | - |
dc.date.accessioned | 2021-07-05T06:10:59Z | - |
dc.date.available | 2021-07-05T06:10:59Z | - |
dc.date.issued | 2021-02-01 | - |
dc.identifier.citation | Journal of Clinical Sleep Medicine : JCSM 2021; 17(2): 167-175 | en |
dc.identifier.uri | https://ahro.austin.org.au/austinjspui/handle/1/26964 | - |
dc.description.abstract | Sleep-wake dysfunction is bidirectionally associated with the pathogenesis and evolution of stroke. Longitudinal and prospective measurement of sleep after chronic stroke remains poorly characterized because of a lack of validated objective and ambulatory sleep measurement tools in neurological populations. This study aimed to validate a multisensor sleep monitor, the SenseWear Armband (SWA), in patients with ischemic stroke and control patients using at-home polysomnography. Twenty-eight radiologically confirmed patients with ischemic stroke (aged 69.61 ± 7.35 years; mean = 4.1 years poststroke) and 16 control patients (aged 73.75 ± 7.10 years) underwent overnight at-home polysomnography in tandem with the SWA. Lin's concordance correlation coefficient and reduced major axis regressions were employed to assess concordance of SWA vs polysomnography-measured total sleep time, sleep efficiency, sleep onset latency, and wake after sleep onset. Subsequently, data were converted to 30-second epochs to match at-home polysomnography. Epoch-by-epoch agreement between SWA and at-home polysomnography was estimated using crude agreement, Cohen's kappa, sensitivity, and specificity. Total sleep time was the most robustly quantified sleep-wake variable (concordance correlation coefficient = 0.49). The SWA performed poorest for sleep measures requiring discrimination of wakefulness (sleep onset latency; concordance correlation coefficient = 0.16). The sensitivity of the SWA was high (95.90%) for patients with stroke and for control patients (95.70%). The specificity of the SWA was fair-moderate for patients with stroke (40.45%) and moderate for control patients (45.60%). Epoch-by-epoch agreement rate was fair (78%) in patients with stroke and fair (74%) in controls. The SWA shows promise as an ambulatory tool to estimate macro parameters of sleep-wake; however, agreement at an epoch level is only moderate-fair. Use of the SWA warrants caution when it is used as a diagnostic tool or in populations with significant sleep-wake fragmentation. | en |
dc.language.iso | eng | |
dc.subject | accelerometer | en |
dc.subject | aging | en |
dc.subject | behavioral sleep medicine | en |
dc.subject | instrumentation | en |
dc.subject | scoring | en |
dc.subject | sleep/wake physiology | en |
dc.subject | Stroke | en |
dc.subject | validation | en |
dc.title | Sleep-wake parameters can be detected in patients with chronic stroke using a multisensor accelerometer: a validation study. | en |
dc.type | Journal Article | en |
dc.identifier.journaltitle | Journal of Clinical Sleep Medicine : JCSM | en |
dc.identifier.affiliation | Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts | en |
dc.identifier.affiliation | Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Victoria, Australia | en |
dc.identifier.affiliation | Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Victoria, Australia | en |
dc.identifier.affiliation | The Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia | en |
dc.identifier.affiliation | University of Melbourne, Melbourne, Victoria, Australia | en |
dc.identifier.affiliation | Institute for Breathing and Sleep | en |
dc.identifier.affiliation | Austin Health | en |
dc.identifier.doi | 10.5664/jcsm.8812 | en |
dc.type.content | Text | en |
dc.identifier.pubmedid | 32975195 | |
local.name.researcher | Brodtmann, Amy | |
item.fulltext | No Fulltext | - |
item.openairetype | Journal Article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.grantfulltext | none | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | Medicine (University of Melbourne) | - |
crisitem.author.dept | The Florey Institute of Neuroscience and Mental Health | - |
crisitem.author.dept | The Florey Institute of Neuroscience and Mental Health | - |
crisitem.author.dept | Institute for Breathing and Sleep | - |
crisitem.author.dept | Institute for Breathing and Sleep | - |
crisitem.author.dept | The Florey Institute of Neuroscience and Mental Health | - |
Appears in Collections: | Journal articles |
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