Literature DB >> 33826975

The value of cardiorespiratory parameters for sleep state classification in preterm infants: A systematic review.

Eline R de Groot1, Marit S Knoop1, Agnes van den Hoogen1, Xiaowan Wang2, Xi Long3, Sigrid Pillen4, Manon Benders2, Jeroen Dudink5.   

Abstract

Cardiorespiratory activity is highly associated with infants' sleep duration and quality. We performed a systematic literature search of PubMed and EMBASE databases to investigate if and how cardiorespiratory parameters can be used for sleep state classification in preterm infants and in what way maturation influences this relation. All retrieved citations were screened against predetermined inclusion and exclusion criteria. Only studies of preterm infants (<37 wk postmenstrual age during sleep state classification) admitted to a neonatal ward and of whom at least one sleep state and one cardiorespiratory parameter was measured, were included. Two researchers independently reviewed the included studies on methodological quality. Of the 1097 initially retrieved studies, 23 were included for analysis. Heart rate and respiration frequency are strongly correlated with active sleep and quiet sleep. In quiet sleep, as compared to active sleep, respiratory frequency is more stable, and the heart rate is lower and less variable. This association, however, differed across preterm birth subtypes (i.e., extremely, very or late preterm), indicating that maturation - in the form of both gestational and postnatal age - influences the cardiorespiratory characteristics of preterm sleep states. The knowledge gained from this review can help improve behavioral sleep classification and automated sleep classification algorithms for preterm infants.
Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Classification; Heart rate; NICU; Preterm infant; Respiration; Sleep

Year:  2021        PMID: 33826975     DOI: 10.1016/j.smrv.2021.101462

Source DB:  PubMed          Journal:  Sleep Med Rev        ISSN: 1087-0792            Impact factor:   11.609


  4 in total

Review 1.  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

2.  Associations between gestational age and childhood sleep: a national retrospective cohort study.

Authors:  Jiajun Lyu; Haifeng Li; Lei Wang; John A Groeger; Anna L Barnett; Jiajia Zhang; Wenchong Du; Jing Hua
Journal:  BMC Med       Date:  2022-08-08       Impact factor: 11.150

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

4.  Automatic Detection of the Cyclic Alternating Pattern of Sleep and Diagnosis of Sleep-Related Pathologies Based on Cardiopulmonary Resonance Indices.

Authors:  Jiajia Cui; Zhipei Huang; Jiankang Wu
Journal:  Sensors (Basel)       Date:  2022-03-14       Impact factor: 3.576

  4 in total

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