Literature DB >> 33285084

Non-REM Apnea and Hypopnea Duration Varies across Population Groups and Physiologic Traits.

Priya V Borker1,2, Michelle Reid3, Tamar Sofer3, Matthew P Butler4,5, Ali Azarbarzin3,6, Heming Wang3, Andrew Wellman3,6, Scott A Sands3,6, Susan Redline3,6.   

Abstract

Rationale: Symptoms and morbidities associated with obstructive sleep apnea (OSA) vary across individuals and are not predicted by the apnea-hypopnea index (AHI). Respiratory event duration is a heritable trait associated with mortality that may further characterize OSA.
Objectives: We evaluated how hypopnea and apnea durations in non-REM (NREM) sleep vary across demographic groups and quantified their associations with physiological traits (loop gain, arousal threshold, circulatory delay, and pharyngeal collapsibility).
Methods: Data were analyzed from 1,546 participants from the Multi-Ethnic Study of Atherosclerosis with an AHI ≥5. Physiological traits were derived using a validated model fit to the polysomnographic airflow signal. Multiple linear regression models were used to evaluate associations of event duration with demographic and physiological factors.Measurements and Main
Results: Participants had a mean age ± SD of 68.9 ± 9.2 years, mean NREM hypopnea duration of 21.73 ± 5.60, and mean NREM apnea duration of 23.87 ± 7.44 seconds. In adjusted analyses, shorter events were associated with younger age, female sex, higher body mass index (P < 0.01, all), and Black race (P < 0.05). Longer events were associated with Asian race (P < 0.01). Shorter event durations were associated with lower circulatory delay (2.53 ± 0.13 s, P < 0.01), lower arousal threshold (1.39 ± 0.15 s, P < 0.01), reduced collapsibility (-0.71 ± 0.16 s, P < 0.01), and higher loop gain (-0.27 ± 0.11 s, P < 0.05) per SD change. Adjustment for physiological traits attenuated age, sex, and obesity associations and eliminated racial differences in event duration.Conclusions: Average event duration varies across population groups and provides information on ventilatory features and airway collapsibility not captured by the AHI.

Entities:  

Keywords:  MESA; epidemiology; obstructive sleep apnea; phenotype; sleep

Mesh:

Year:  2021        PMID: 33285084      PMCID: PMC8314913          DOI: 10.1164/rccm.202005-1808OC

Source DB:  PubMed          Journal:  Am J Respir Crit Care Med        ISSN: 1073-449X            Impact factor:   21.405


  49 in total

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Authors:  Heming Wang; Brian E Cade; Tamar Sofer; Scott A Sands; Han Chen; Sharon R Browning; Adrienne M Stilp; Tin L Louie; Timothy A Thornton; W Craig Johnson; Jennifer E Below; Matthew P Conomos; Daniel S Evans; Sina A Gharib; Xiuqing Guo; Alexis C Wood; Hao Mei; Kristine Yaffe; Jose S Loredo; Alberto R Ramos; Elizabeth Barrett-Connor; Sonia Ancoli-Israel; Phyllis C Zee; Raanan Arens; Neomi A Shah; Kent D Taylor; Gregory J Tranah; Katie L Stone; Craig L Hanis; James G Wilson; Daniel J Gottlieb; Sanjay R Patel; Ken Rice; Wendy S Post; Jerome I Rotter; Shamil R Sunyaev; Jianwen Cai; Xihong Lin; Shaun M Purcell; Cathy C Laurie; Richa Saxena; Susan Redline; Xiaofeng Zhu
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2.  A method for measuring and modeling the physiological traits causing obstructive sleep apnea.

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4.  An Integrative Model of Physiological Traits Can be Used to Predict Obstructive Sleep Apnea and Response to Non Positive Airway Pressure Therapy.

Authors:  Robert L Owens; Bradley A Edwards; Danny J Eckert; Amy S Jordan; Scott A Sands; Atul Malhotra; David P White; Stephen H Loring; James P Butler; Andrew Wellman
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6.  Multiethnic Meta-Analysis Identifies RAI1 as a Possible Obstructive Sleep Apnea-related Quantitative Trait Locus in Men.

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Journal:  Am J Respir Cell Mol Biol       Date:  2018-03       Impact factor: 6.914

7.  Differences in arousal probability and duration after apnea and hypopnea events in adult obstructive sleep apnea patients.

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9.  Correlates of obstructive apnea duration.

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Authors:  Bartłomiej Paleczny; Piotr Niewiński; Agnieszka Rydlewska; Massimo F Piepoli; Ludmiła Borodulin-Nadzieja; Ewa A Jankowska; Beata Ponikowska
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6.  A composite sleep and pulmonary phenotype predicting hypertension.

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