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Related Experiment Video

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Multi-Modal Home Sleep Monitoring in Older Adults
07:40

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Published on: January 26, 2019

Diagnostic accuracy of split-night polysomnograms.

Imran S Khawaja1, Eric J Olson, Christelle van der Walt

  • 1Center for Sleep Medicine, Mayo Clinic, Rochester, MN 55905, USA.

Journal of Clinical Sleep Medicine : JCSM : Official Publication of the American Academy of Sleep Medicine
|August 24, 2010
PubMed
Summary
This summary is machine-generated.

Split-night polysomnograms (SN-PSG) accurately diagnose obstructive sleep apnea (OSA) using the first few hours of sleep. This suggests current AHI thresholds for SN-PSG may be lowered for more efficient diagnosis.

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Area of Science:

  • Sleep Medicine
  • Respiratory Physiology

Background:

  • American Academy of Sleep Medicine (AASM) guidelines suggest split-night polysomnograms (SN-PSG) for apnea-hypopnea index (AHI) between 20-40.
  • The diagnostic accuracy of SN-PSG at lower AHI ranges requires further investigation.

Purpose of the Study:

  • To evaluate the diagnostic accuracy of SN-PSG using the initial 2-3 hours of polysomnography.
  • To compare SN-PSG derived AHI with full-night PSG (FN-PSG) derived AHI, particularly at lower AHI thresholds.

Main Methods:

  • Retrospective review of 114 full-night polysomnograms (FN-PSG).
  • Comparison of AHI from the first 2 hours (2 hr-AHI) and 3 hours (3 hr-AHI) with the gold standard FN-AHI.
  • Analysis included adjustments for REM sleep and supine position.

Main Results:

  • Strong correlation between 2 hr-AHI and 3 hr-AHI with FN-AHI (CCC=0.93 and 0.97, respectively).
  • Adjusted correlations remained strong (0.92 and 0.96).
  • Area under the receiver operating curves (AUC) were high (0.93 for 2 hr-AHI, 0.95 for 3 hr-AHI) for diagnosing OSA (FN-AHI >= 5).

Conclusions:

  • Early sleep data (2-3 hours) provides sufficient diagnostic accuracy to rule-in obstructive sleep apnea (OSA) at an AHI threshold of 5.
  • Current AASM thresholds for SN-PSG may be too high, suggesting potential for revision to improve resource efficiency.