Literature DB >> 29991418

Changes in Sleep Characteristics and Breathing Parameters During Sleep in Early and Late Pregnancy.

Bilgay Izci-Balserak1, Brendan T Keenan2, Charles Corbitt2, Beth Staley2, Michael Perlis2, Grace W Pien3.   

Abstract

STUDY
OBJECTIVES: Few studies have objectively evaluated sleep characteristics during pregnancy or investigated the relationship between altered spectral electroencephalogram (EEG) bands and sleep-disordered breathing (SDB). The study aimed to describe changes in sleep as measured by polysomnography (PSG) and spectral EEG bands during pregnancy and to examine the relationship between delta power in non-rapid eye movement (NREM) sleep and SDB.
METHODS: This is a secondary analysis of a prospective study. One hundred twenty-three women underwent full PSG in early pregnancy, and 97 repeated PSG in late pregnancy. Spectral analysis of the EEG in NREM sleep was performed. We used linear and logistic mixed-model regression to analyze the sleep measures and linear regression to explore the association between delta power and apnea-hypopnea index (AHI) changes during pregnancy.
RESULTS: In late pregnancy, women had shorter sleep duration, poorer sleep efficiency, more awakenings, more stage N2 sleep, less slow wave sleep, less REM sleep, higher AHI, and higher periodic limb movement index compared to early pregnancy. The percentage of stage N1 sleep, sleep latency, REM sleep latency, and arousal index frequency did not change. Regarding EEG-spectra, delta and theta powers decreased, but beta-2 power increased during pregnancy. In multivariable analyses, greater reduction of delta power was associated with larger increases in AHI (β [95% confidence interval] = -0.038 [-0.073, -0.002], P = .040). Estimates suggest that each one-unit increase in AHI reduces delta power by 4% in late pregnancy.
CONCLUSIONS: PSG-measured sleep characteristics change during pregnancy. Delta power decreases when the severity of SDB increases during pregnancy. COMMENTARY: A commentary on this article appears in this issue on page 1095.
© 2018 American Academy of Sleep Medicine.

Entities:  

Keywords:  beta; delta; low and high frequency EEG bands; power spectral analyses; sleep patterns

Mesh:

Year:  2018        PMID: 29991418      PMCID: PMC6040782          DOI: 10.5664/jcsm.7216

Source DB:  PubMed          Journal:  J Clin Sleep Med        ISSN: 1550-9389            Impact factor:   4.062


  38 in total

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