Electrocardiogram-based sleep spectrogram measures of sleep stability and glucose disposal in sleep disordered breathing

Melanie S. Pogach, Naresh M Punjabi, Neil Thomas, Robert J. Thomas

Research output: Contribution to journalArticle

Abstract

Study Objectives: Sleep disordered breathing (SDB) is independently associated with insulin resistance, glucose intolerance, and type 2 diabetes mellitus. Experimental sleep fragmentation has been shown to impair insulin sensitivity. Conventional electroencephalogram (EEG)-based sleep-quality measures have been inconsistently associated with indices of glucose metabolism. This analysis explored associations between glucose metabolism and an EEG-independent measure of sleep quality, the sleep spectrogram, which maps coupled oscillations of heart-rate variability and electrocardiogram (ECG)-derived respiration. The method allows improved characterization of the quality of stage 2 non-rapid eye movement (NREM) sleep. Design: Cross-sectional study. Setting: N/A. Participants: Nondiabetic subjects with and without SDB (n = 118) underwent the frequently sampled intravenous glucose tolerance test (FSIVGTT) and a full-montage polysomnogram. The sleep spectrogram was generated from ECG collected during polysomnography. Interventions: N/A. Measurements and Results: Standard polysomnographic stages (stages 1, 2, 3+4, and rapid eye movement [REM]) were not associated with the disposition index (DI) derived from the FSIVGTT. In contrast, spectrographic high-frequency coupling (a marker of stable or "effective" sleep) duration was associated with increased, and very-low-frequency coupling (a marker of wake/REM/transitions) associated with reduced DI. This relationship was noted after adjusting for age, sex, body mass index, slow wave sleep, total sleep time, stage 1, the arousal index, and the apneahypopnea index. Conclusions: ECG-derived sleep-spectrogram measures of sleep quality are associated with alterations in glucose-insulin homeostasis. This alternate mode of estimating sleep quality could improve our understanding of sleep and sleep-breathing effects on glucose metabolism.

Original languageEnglish (US)
Pages (from-to)139-148
Number of pages10
JournalSleep
Volume35
Issue number1
DOIs
StatePublished - 2012

Fingerprint

Sleep Apnea Syndromes
Sleep
Electrocardiography
Glucose
REM Sleep
Glucose Tolerance Test
Insulin Resistance
Electroencephalography
Respiration
Sleep Deprivation
Glucose Intolerance
Polysomnography
Sleep Stages
Eye Movements
Arousal
Type 2 Diabetes Mellitus
Body Mass Index
Homeostasis
Cross-Sectional Studies
Heart Rate

Keywords

  • Diabetes mellitus type 2
  • Disposition index
  • Sleep quality
  • Sleep spectrogram

ASJC Scopus subject areas

  • Physiology (medical)
  • Clinical Neurology

Cite this

Electrocardiogram-based sleep spectrogram measures of sleep stability and glucose disposal in sleep disordered breathing. / Pogach, Melanie S.; Punjabi, Naresh M; Thomas, Neil; Thomas, Robert J.

In: Sleep, Vol. 35, No. 1, 2012, p. 139-148.

Research output: Contribution to journalArticle

Pogach, Melanie S. ; Punjabi, Naresh M ; Thomas, Neil ; Thomas, Robert J. / Electrocardiogram-based sleep spectrogram measures of sleep stability and glucose disposal in sleep disordered breathing. In: Sleep. 2012 ; Vol. 35, No. 1. pp. 139-148.
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