Literature DB >> 35182976

Creating an optimal observational sleep stage classification system for very and extremely preterm infants.

E R de Groot1, A Bik2, C Sam2, X Wang2, R A Shellhaas3, T Austin4, M L Tataranno2, M J N L Benders2, A van den Hoogen5, J Dudink6.   

Abstract

BACKGROUND: Sleep plays a major role in neuronal survival and guiding the fetal brain's development. Preterm infants in the neonatal intensive care unit are exposed to numerous external stimuli that can severely disrupt their sleep/wake patterns. Currently, almost no behavioral classification scales are validated for preterm infants. This study aims to develop a new, easy-to-use, validated visual sleep stage classification system for preterm infants with a gestational age between 25 and 37 weeks.
METHODS: The Behavioral Sleep stage classification for Preterm Infants (BeSSPI) consists of four sleep-wake stages; active sleep (AS), quiet sleep (QS), intermediate sleep (IS) and wake (W), which are classified using seven items. Items include eye movements, body movements, facial movements, vocalizations, heart rate, respiratory pattern and activity level.
RESULTS: 69 preterm infants were observed (24 + 6-36 + 0 weeks GA at birth; 25 + 2-36 + 6 weeks PMA at observation; 57.3% male). Across all 69 infants, the BeSSPI was based on 10,922 min of observed behavior, with 4264 min AS (38.83%), 2873 min QS (26.16%), 2887 min IS (26.29%), and 957 min W (8.72%). For the final BeSSPI, an interrater agreement of κ = 0.80 was reached. Additionally, construct, content, face validity, and expert validity were carefully assessed and deemed satisfactory.
CONCLUSIONS: We developed a method to evaluate sleep-wake stages that is simple for all neonatal healthcare providers to learn and use. The BeSSPI is of high reliability and validity. Furthermore, it can be used in all preterm age-groups. Therefore, this novel instrument may improve rigor and reproducibility for future preterm sleep research.
Copyright © 2022 The Author(s). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Behavioral observation; Neonatal intensive care; Preterm infants; Sleep-wake stages

Mesh:

Year:  2022        PMID: 35182976     DOI: 10.1016/j.sleep.2022.01.020

Source DB:  PubMed          Journal:  Sleep Med        ISSN: 1389-9457            Impact factor:   3.492


  3 in total

1.  A Perspective on a Quality Management System for AI/ML-Based Clinical Decision Support in Hospital Care.

Authors:  Richard Bartels; Jeroen Dudink; Saskia Haitjema; Daniel Oberski; Annemarie van 't Veen
Journal:  Front Digit Health       Date:  2022-07-06

Review 2.  The Impact of Preterm Birth on Sleep through Infancy, Childhood and Adolescence and Its Implications.

Authors:  Jayne Trickett; Catherine Hill; Topun Austin; Samantha Johnson
Journal:  Children (Basel)       Date:  2022-04-27

3.  The Sleep Well Baby project: an automated real-time sleep-wake state prediction algorithm in preterm infants.

Authors:  Thom Sentner; Xiaowan Wang; Eline R de Groot; Lieke van Schaijk; Maria Luisa Tataranno; Daniel C Vijlbrief; Manon J N L Benders; Richard Bartels; Jeroen Dudink
Journal:  Sleep       Date:  2022-10-10       Impact factor: 6.313

  3 in total

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