Within-night repeatability and long-term consistency of sleep apnea endotypes: the Multi-Ethnic Study of Atherosclerosis and Osteoporotic Fractures in Men Study.

ABSTRACT:

Study objectives

Obstructive sleep apnea (OSA) is characterized by multiple "endotypic traits," including pharyngeal collapsibility, muscle compensation, loop gain, and arousal threshold. Here, we examined (1) within-night repeatability, (2) long-term consistency, and (3) influences of body position and sleep state, of endotypic traits estimated from in-home polysomnography in mild-to-severe OSA (apnea-hypopnea index, AHI > 5 events/h).

Methods

Within-night repeatability was assessed using Multi-Ethnic Study of Atherosclerosis (MESA): Traits derived separately from "odd" and "even" 30-min periods were correlated and regression (error vs. N windows available) provided a recommended amount of data for acceptable repeatability (Rthreshold = 0.7). Long-term consistency was assessed using the Osteoporotic Fractures in Men Study (MrOS) at two time points 6.5 ± 0.7 years apart, before and after accounting for across-year body position and sleep state differences. Within-night dependence of traits on position and state (MESA plus MrOS data) was estimated using bootstrapping.

Results

Within-night repeatability for traits ranged from R = 0.62-0.79 and improved to R = 0.69-0.83 when recommended amounts of data were available (20-35 7-min windows, available in 94%-98% of participants); repeatability was similar for collapsibility, loop gain, and arousal threshold (R = 0.79-0.83), but lower for compensation (R = 0.69). Long-term consistency was modest (R = 0.30-0.61) and improved (R = 0.36-0.63) after accounting for position and state differences. Position/state analysis revealed reduced loop gain in REM and reduced collapsibility in N3.

Conclusions

Endotypic traits can be obtained with acceptable repeatability. Long-term consistency was modest but improved after accounting for position and state changes. These data support the use of endotypic assessments in large-scale epidemiological studies.

Clinical trial information

The data used in the manuscript are from observational cohort studies and are not a part of the clinical trial.

SUBMITTER: Alex RM 

PROVIDER: S-EPMC9453624 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature