Sleep time and efficiency in patients undergoing laboratory-based polysomnography

Elizabeth I Harrison, Robert H Roth, Jennifer M Lobo, Hyojung Kang, Jeongok Logan, Sanjay R Patel, Vishesh K Kapur, Younghoon Kwon, Elizabeth I Harrison, Robert H Roth, Jennifer M Lobo, Hyojung Kang, Jeongok Logan, Sanjay R Patel, Vishesh K Kapur, Younghoon Kwon

Abstract

Study objectives: Sleep quality in patients studied with laboratory-based polysomnography may differ from sleep quality in patients studied at home but remains clinically relevant and important to describe. We assessed objective sleep quality and explored factors associated with poor sleep in patients undergoing laboratory-based polysomnography.

Methods: We reviewed diagnostic polysomnography studies from a 10-year period at a single sleep center. Total sleep time (TST) and sleep efficiency (SE) were assessed as markers of sleep quality. Poor sleep was defined as TST ≤ 4 hours or SE ≤ 50%. Multivariable analysis was performed to determine associations between objective sleep quality as an outcome and multiple candidate predictors including age, sex, race, body mass index, comorbidities, severity of obstructive sleep apnea, and central nervous system medications.

Results: Among 4957 patients (age 53 ± 15 years), average TST and median SE were 5.8 hours and 79%, respectively. There were 556 (11%) and 406 (8%) patients who had poor sleep based on TST and SE, respectively. In multivariable analysis, those who were older (per 10 years: 1.48 [1.34, 1.63]), male (1.38 [1.14,1.68]), and had severe obstructive sleep apnea (1.76 [1.28, 2.43]) were more likely to have short sleep. Antidepressant use was associated with lower odds of short sleep (0.77 [0.59,1.00]). Older age (per 10 years: 1.48 [1.34, 1.62]), male sex (1.34 [1.07,1.68]), and severe obstructive sleep apnea (2.16 [1.47, 3.21]) were associated with higher odds of poor SE.

Conclusions: We describe TST and SE from a single sleep center cohort. Multiple demographic characteristics were associated with poor objective sleep in patients during laboratory-based polysomnography.

Citation: Harrison EI, Roth RH, Lobo JM, et al. Sleep time and efficiency in patients undergoing laboratory-based polysomnography. J Clin Sleep Med. 2021;17(8):1591-1598.

Keywords: polysomnography; sleep; sleep quality.

© 2021 American Academy of Sleep Medicine.

Figures

Figure 1. Patient inclusion and exclusion.
Figure 1. Patient inclusion and exclusion.
Figure 2. Distribution of total sleep time…
Figure 2. Distribution of total sleep time and sleep efficiency.
IQR = interquartile range.

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Source: PubMed

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