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Sleep Biomarkers, Health Comorbidities, and Neurocognition in Obstructive Sleep Apnea

Published online by Cambridge University Press:  07 September 2018

Ciaran M. Considine ,
Hillary A. Parker ,
Jeralee Briggs ,
Erin E. Quasney ,
Eric R. Larson ,
Heather Smith ,
Skyler G. Shollenbarger  and
Christopher A. Abeare
Ciaran M. Considine*
Affiliation:
Vanderbilt University School of Medicine, Neurology Department, Nashville, Tennessee Clement J. Zablocki VA Medical Center, Mental Health Department, Milwaukee, Wisconsin
Hillary A. Parker
Affiliation:
Clement J. Zablocki VA Medical Center, Mental Health Department, Milwaukee, Wisconsin
Jeralee Briggs
Affiliation:
Clement J. Zablocki VA Medical Center, Mental Health Department, Milwaukee, Wisconsin
Erin E. Quasney
Affiliation:
Medical College of Wisconsin, Neurology Department or Psychiatry & Behavioral Medicine, Milwaukee, Wisconsin
Eric R. Larson
Affiliation:
Clement J. Zablocki VA Medical Center, Mental Health Department, Milwaukee, Wisconsin Medical College of Wisconsin, Neurology Department or Psychiatry & Behavioral Medicine, Milwaukee, Wisconsin
Heather Smith
Affiliation:
Clement J. Zablocki VA Medical Center, Mental Health Department, Milwaukee, Wisconsin Medical College of Wisconsin, Neurology Department or Psychiatry & Behavioral Medicine, Milwaukee, Wisconsin
Skyler G. Shollenbarger
Affiliation:
Clement J. Zablocki VA Medical Center, Mental Health Department, Milwaukee, Wisconsin Henry Ford Health System, Behavioral Health Department, Detroit, Michigan
Christopher A. Abeare
Affiliation:
University of Windsor, Psychology Department, Windsor, Ontario
*
Correspondence and reprint requests to: Ciaran M. Considine, Department Neurology, Vanderbilt University, 1500 21st Avenue South, Suite 3000, Nashville, TN, 37212. E-mail: [email protected]
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Abstract

Objectives: Obstructive sleep apnea (OSA) is associated with cognitive impairment but the relationships between specific biomarkers and neurocognitive domains remain unclear. The present study examined the influence of common health comorbidities on these relationships. Adults with suspected OSA (N=60; 53% male; M age=52 years; SD=14) underwent neuropsychological evaluation before baseline polysomnography (PSG). Apneic syndrome severity, hypoxic strain, and sleep architecture disturbance were assessed through PSG. Methods: Depression (Center for Epidemiological Studies Depression Scale, CESD), pain, and medical comorbidity (Charlson Comorbidity Index) were measured via questionnaires. Processing speed, attention, vigilance, memory, executive functioning, and motor dexterity were evaluated with cognitive testing. A winnowing approach identified 9 potential moderation models comprised of a correlated PSG variable, comorbid health factor, and cognitive performance. Results: Regression analyses identified one significant moderation model: average blood oxygen saturation (AVO2) and depression predicting recall memory, accounting for 31% of the performance variance, p<.001. Depression was a significant predictor of recall memory, p<.001, but AVO2 was not a significant predictor. The interaction between depression and AVO2 was significant, accounting for an additional 10% of the variance, p<.001. The relationship between low AVO2 and low recall memory performance emerged when depression severity ratings approached a previously established clinical cutoff score (CESD=16). Conclusions: This study examined sleep biomarkers with specific neurocognitive functions among individuals with suspected OSA. Findings revealed that depression burden uniquely influence this pathophysiological relationship, which may aid clinical management. (JINS, 2018, 28, 864–875)

Keywords

PolysomnographyCognitionAdultsHumanDepressionMemory
Type
Regular Research
Information
Journal of the International Neuropsychological Society , Volume 24 , Issue 8 , September 2018 , pp. 864 - 875
Copyright
Copyright © The International Neuropsychological Society 2018 

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