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An Automated Algorithm for Determining Sleep Using Single-Channel Electroencephalography to Detect Delirium: A Prospective Observational Study in Intensive Care Units

The relationship between polysomnography-based objective sleep and delirium in the intensive care unit (ICU) is inconsistent across studies, suggesting limitations in manually determining the sleep stage of critically ill patients. We objectively measured 24-h sleep using a single-channel electroenc...

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Autores principales: Matsui, Kentaro, Sato, Nobuo, Idei, Masafumi, Arakida, Masako, Seino, Yusuke, Ishikawa, Jun-ya, Nakagawa, Masashi, Akaho, Rie, Nishimura, Katsuji, Nomura, Takeshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9498606/
https://www.ncbi.nlm.nih.gov/pubmed/36141389
http://dx.doi.org/10.3390/healthcare10091776
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author Matsui, Kentaro
Sato, Nobuo
Idei, Masafumi
Arakida, Masako
Seino, Yusuke
Ishikawa, Jun-ya
Nakagawa, Masashi
Akaho, Rie
Nishimura, Katsuji
Nomura, Takeshi
author_facet Matsui, Kentaro
Sato, Nobuo
Idei, Masafumi
Arakida, Masako
Seino, Yusuke
Ishikawa, Jun-ya
Nakagawa, Masashi
Akaho, Rie
Nishimura, Katsuji
Nomura, Takeshi
author_sort Matsui, Kentaro
collection PubMed
description The relationship between polysomnography-based objective sleep and delirium in the intensive care unit (ICU) is inconsistent across studies, suggesting limitations in manually determining the sleep stage of critically ill patients. We objectively measured 24-h sleep using a single-channel electroencephalogram (SleepScope [SS]) and an under-mattress sleep monitor (Nemuri SCAN [NSCAN]), both of which have independent algorithms that automatically determine sleep and wakefulness. Eighteen patients (median age, 68 years) admitted to the ICU after valvular surgery or coronary artery bypass grafting were included, and their sleep time was measured one day after extubation. The median total sleep times (TSTs) measured by SS (TST-SS) and NSCAN were 548 (48–1050) and 1024 (462–1257) min, respectively. Two patients with delirium during the 24-h sleep measurement had very short TST-SS of 48 and 125 min, and the percentage of daytime sleep accounted for >80% in both SS and NSCAN. This preliminary case series showed marked sleep deprivation and increased rates of daytime sleeping in ICU patients with delirium. Although data accuracy from under-mattress sleep monitors is contentious, automated algorithmic sleep/wakefulness determination using a single-channel electroencephalogram may be useful in detecting delirium in ICU patients and could even be superior to polysomnography.
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spelling pubmed-94986062022-09-23 An Automated Algorithm for Determining Sleep Using Single-Channel Electroencephalography to Detect Delirium: A Prospective Observational Study in Intensive Care Units Matsui, Kentaro Sato, Nobuo Idei, Masafumi Arakida, Masako Seino, Yusuke Ishikawa, Jun-ya Nakagawa, Masashi Akaho, Rie Nishimura, Katsuji Nomura, Takeshi Healthcare (Basel) Article The relationship between polysomnography-based objective sleep and delirium in the intensive care unit (ICU) is inconsistent across studies, suggesting limitations in manually determining the sleep stage of critically ill patients. We objectively measured 24-h sleep using a single-channel electroencephalogram (SleepScope [SS]) and an under-mattress sleep monitor (Nemuri SCAN [NSCAN]), both of which have independent algorithms that automatically determine sleep and wakefulness. Eighteen patients (median age, 68 years) admitted to the ICU after valvular surgery or coronary artery bypass grafting were included, and their sleep time was measured one day after extubation. The median total sleep times (TSTs) measured by SS (TST-SS) and NSCAN were 548 (48–1050) and 1024 (462–1257) min, respectively. Two patients with delirium during the 24-h sleep measurement had very short TST-SS of 48 and 125 min, and the percentage of daytime sleep accounted for >80% in both SS and NSCAN. This preliminary case series showed marked sleep deprivation and increased rates of daytime sleeping in ICU patients with delirium. Although data accuracy from under-mattress sleep monitors is contentious, automated algorithmic sleep/wakefulness determination using a single-channel electroencephalogram may be useful in detecting delirium in ICU patients and could even be superior to polysomnography. MDPI 2022-09-15 /pmc/articles/PMC9498606/ /pubmed/36141389 http://dx.doi.org/10.3390/healthcare10091776 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Matsui, Kentaro
Sato, Nobuo
Idei, Masafumi
Arakida, Masako
Seino, Yusuke
Ishikawa, Jun-ya
Nakagawa, Masashi
Akaho, Rie
Nishimura, Katsuji
Nomura, Takeshi
An Automated Algorithm for Determining Sleep Using Single-Channel Electroencephalography to Detect Delirium: A Prospective Observational Study in Intensive Care Units
title An Automated Algorithm for Determining Sleep Using Single-Channel Electroencephalography to Detect Delirium: A Prospective Observational Study in Intensive Care Units
title_full An Automated Algorithm for Determining Sleep Using Single-Channel Electroencephalography to Detect Delirium: A Prospective Observational Study in Intensive Care Units
title_fullStr An Automated Algorithm for Determining Sleep Using Single-Channel Electroencephalography to Detect Delirium: A Prospective Observational Study in Intensive Care Units
title_full_unstemmed An Automated Algorithm for Determining Sleep Using Single-Channel Electroencephalography to Detect Delirium: A Prospective Observational Study in Intensive Care Units
title_short An Automated Algorithm for Determining Sleep Using Single-Channel Electroencephalography to Detect Delirium: A Prospective Observational Study in Intensive Care Units
title_sort automated algorithm for determining sleep using single-channel electroencephalography to detect delirium: a prospective observational study in intensive care units
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9498606/
https://www.ncbi.nlm.nih.gov/pubmed/36141389
http://dx.doi.org/10.3390/healthcare10091776
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