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Obstructive sleep apnea and white matter hyperintensities: correlation or causation?

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Abstract

Obstructive sleep apnea (apnea) is thought to cause small vessel ischemic episodes in the brain from hypoxic events, postulated as white matter hyperintensities (hyperintensities) identified on MRI which are implicated in cognitive decline. This study sought to evaluate these correlations. A retrospective evaluation of adults who underwent polysomnography (4/1/2016 to 4/30/2017) and a brain MRI prior to apnea diagnosis or within a year post-diagnosis was completed. MRI visual evaluation of hyperintensities using Fazekas scores were collected blind to clinical data. Collated clinical/MRI data were stratified and analyzed using chi-square, fishers t-tests, ANOVA/ANCOVA and linear regression. Stratification by apnea category revealed no significant differences in any variables including hyperintensity measures (Fazekas p=0.1584; periventricular p=0.3238; deep p=0.4618; deep total p=0.1770). Stratification by Fazekas category, periventricular and deep hyperintensities revealed increasing prevalence with age (p=0.0001); however, apnea categories were not significantly associated (Fazekas p=0.1479; periventricular p=0.3188; deep p=0.4503), nor were any individual apnea indicators. Continuous apnea measurements werre not associated with any hyperintensity factor; total deep hyperintensities were not associated with any apnea factors. Continuous BMI was not found to be associated with any apnea or hyperintensity factors. Only hypertension was noted to be associated with Fazekas (p=0.0045), deep (p=0.0010) and total deep (p=0.0021) hyperintensities; however, hypertension was not associated with apnea category (p=0.3038) or any associated factors. These data suggest apneas alone from OSA are insufficient to cause WMH, but other factors appear to contribute to the complex development of small vessel ischemic injury associated with age and cognitive decline.

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References

  • Al-Shawwa, B. A., Baadi, A. N., Goldberg, A. N. A., & Woodson, B. T. (2008). Defining common outcome metrics used in obstructive sleep apnea. Sleep Medicine Reviews, 12, 449–461

    Article  PubMed  Google Scholar 

  • Allan, C. L., Zsoldos, E., Filippini, N., et al. (2015). Lifetime hypertension as a predictor of brain structure in older adults: cohort study with a 28-year follow-up. British Journal of Psychiatry, 206, 308–315

    Article  Google Scholar 

  • Avet, J., Pichot, V., Barthélémy, J. C., et al. (2014). Leukoaraiosis and ambulatory blood pressure load in a healthy elderly cohort study: the PROOF study. International Journal of Cardiology, 172, 59–63

    Article  PubMed  Google Scholar 

  • Berry, R. B., Brooks, R., Gamaldo, C., et al. (2017). AASM scoring manual updates for 2017 (Version 2.4). Journal of Clinical Sleep Medicine, 13(5), 665–666

    Article  PubMed  PubMed Central  Google Scholar 

  • Bryan, R. N., Bilello, M., Davatzikos, C., et al. (2014). Effect of diabetes on brain structure: the action to control cardiovascular risk in diabetes MR imaging baseline data. Radiology, 272, 210–216

    Article  PubMed  Google Scholar 

  • Carberry, J. C., Amatoury, J., & Eckert, D. J. (2018). Personalized management approach for OSA. Chest, 153, 744–755

    Article  PubMed  Google Scholar 

  • Celle, S., Delon-Martin, C., Roche, F., et al. (2016). Desperately seeking grey matter volume changes in sleep apnea: A methodological review of magnetic resonance brain voxel-based morphometry studies. Sleep Medicine Reviews, 25, 112–120

    Article  PubMed  Google Scholar 

  • Ciavarella, D., Tepedino, M., Chimenti, C., et al. (2018). Correlation between body mass index and obstructive sleep apnea severity indexes - A retrospective study. American Journal of Otolaryngology, 39, 388–391

    Article  PubMed  Google Scholar 

  • Culebras, A. (2007). Cerebrovascular disease and the pathophysiology of obstructive sleep apnea. Current Neurology and Neuroscience Reports, 7, 173–179

    Article  PubMed  Google Scholar 

  • DeCarli, C., Fletcher, E., Ramey, V., et al. (2005). Anatomical mapping of White Matter Hyperintensities (WMH). Stroke, 36, 50–55

    Article  PubMed  Google Scholar 

  • Fazekas, F., Chawluk, J. B., Alavi, A., et al. (1987). MR signal abnormalities at 1.5 T in Alzheimer’s dementia and normal aging. American Journal of Roentgenology, 149, 351–356

    Article  CAS  PubMed  Google Scholar 

  • Gouw, A. A., van der Flier, W. M., Pantoni, L., et al. (2008). On the etiology of incident brain lacunes: longitudinal observations from the LADIS study. Stroke, 39, 3083–3085

    Article  PubMed  Google Scholar 

  • Gray, E. L., McKenzie, D. K., & Eckert, D. J. (2017). Obstructive sleep apnea without obesity is common and difficult to treat: evidence for a distinct pathophysiological phenotype. Journal of Clinical Sleep Medicine, 15, 13

    Google Scholar 

  • Habes, M., Sotiras, A., Erus, G., et al. (2018). White matter lesions: spatial heterogeneity, links to risk factors, cognition, genetics and atrophy. Neurology, 91, e964–e975

    Article  PubMed  PubMed Central  Google Scholar 

  • Halperin, J. L., Levine, G. N., Al-Khatib, S. M., et al. (2016). Further evolution of the ACC/AHA clinical practice guideline recommendation classification system: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Clinical Practice Guidelines. Circulation, 133, 1426–1428

    Article  PubMed  Google Scholar 

  • Healthy Weight; Centers for Disease Control. https://www.cdc.gov/healthyweight/assessing/bmi/adult_bmi/index.html. Accessed 1 July 2017

  • Jehan, S., Zizi, F., Pandi-Perumal, S. R., Wall, S., et al. (2017). Obstructive sleep apnea and obesity: implications for public health. Sleep Medicine and Disorders, 1, 00019

    PubMed  PubMed Central  Google Scholar 

  • Keenan, B. T., Kim, J., Singh, B., et al. (2018). Recognizable clinical subtypes of obstructive sleep apnea across international sleep centers: a cluster analysis. Sleep, 41, zsx214

    Article  PubMed Central  Google Scholar 

  • Kepplinger, J., Barlinn, K., Boehme, A. K., et al. (2014). Association of sleep apnea with clinically silent microvascular brain tissue changes in acute cerebral ischemia. Journal of Neurology, 261, 343–349

    Article  PubMed  Google Scholar 

  • Kern, K. C., Wright, C. B., Bergfield, K. L., et al. (2017). Blood pressure control in aging predicts cerebral atrophy related to small-vessel white matter lesions. Frontiers in Aging Neuroscience, 9, 132

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Kerner, N. A., & Roose, S. P. (2016). Obstructive sleep apnea is linked to depression and cognitive impairment: evidence and potential mechanisms. The American Journal of Geriatric Psychiatry, 24, 496–508

    Article  PubMed  PubMed Central  Google Scholar 

  • Kim, J., Keenan, B. T., Lim, D. C., Lee, S. K., Pack, A. I., & Shin, C. (2018). Symptom-based subgroups of Koreans with obstructive sleep apnea. Journal of Clinical Sleep Medicine, 14, 437–443

    Article  PubMed  PubMed Central  Google Scholar 

  • Kim, K. W., MacFall, J. R., & Payne, M. E. (2008). Classification of white matter lesions on magnetic resonance imaging in elderly persons. Biological Psychiatry, 64, 273–280

    Article  PubMed  PubMed Central  Google Scholar 

  • Kloppenborg, R. P., Nederkoorn, P. J., Geerlings, M. I., et al. (2014). Presence and progression of white matter hyperintensities and cognition: a meta-analysis. Neurology, 82, 2127–2138

    Article  PubMed  Google Scholar 

  • Kumar, R., Pham, T. T., Macey, P. M., et al. (2014). Abnormal myelin and axonal integrity in recently diagnosed patients with obstructive sleep apnea. Sleep, 37, 723–732

    Article  PubMed  PubMed Central  Google Scholar 

  • Lee, W. J., Jung, K. H., Nam, H. W., & Lee, Y. S. (2021). Effect of obstructive sleep apnea on cerebrovascular compliance and cerebral small vessel disease. PLoS One, 16, e0259469

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Leppänen, T., Kulkas, A., Mervaala, E., & Töyräs, J. (2019). Increase in body mass index decreases duration of apneas and hypopneas in obstructive sleep apnea. Respiratory Care, 64, 77–84

    Article  PubMed  Google Scholar 

  • Lin, Q., Huang, W. Q., Ma, Q. L., et al. (2017). Incidence and risk factors of leukoaraiosis from 4683 hospitalized patients: A cross-sectional study. Medicine (Baltimore), 96, e7682

    Article  Google Scholar 

  • Merino, J. G. (2019). White Matter hyperintensities on MRI: what is a clinician to do? Mayo Clinic Proceedings, 94, 380-382

  • Nishibayashi, M., Miyamoto, M., Miyamoto, T., et al. (2008). Correlation between severity of obstructive sleep apnea and prevalence of silent cerebrovascular lesions. Journal of Clinical Sleep Medicine, 4, 242–247

    Article  PubMed  PubMed Central  Google Scholar 

  • Nyquist, P. A., Bilgel, M. S., Gottesman, R., et al. (2014). Extreme deep white matter hyperintensity volumes are associated with African American race. Cerebrovascular Diseases, 37, 244–250

    Article  PubMed  Google Scholar 

  • Nyquist, P. A., Bilgel, M., Gottesman, R., et al. (2015). Age differences in periventricular and deep white matter lesions. Neurobiology of Aging, 36, 1653–1658

    Article  PubMed  PubMed Central  Google Scholar 

  • Patel, S. K., Hanly, P. J., Smith, E. E., et al. (2015). Nocturnal hypoxemia is associated with white matter hyperintensities in patients with a minor stroke or transient ischemic attack. Journal of Clinical Sleep Medicine, 11, 1417–1424

    Article  PubMed  PubMed Central  Google Scholar 

  • Ryu, W. S., Woo, S. H., Schellingerhout, D., et al. (2014). Grading and interpretation of white matter hyperintensities using statistical maps. Stroke, 45, 3567–3575

    Article  PubMed  Google Scholar 

  • Schmahmann, J. D., Smith, E. E., Eichler, F. S., et al. (2008). Cerebral white matter: neuroanatomy, clinical neurology, and neurobehavioral correlates. Annals of the New York Academy of Sciences, 1142, 266–309

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Tummala, S., Palomares, J., Kang, D. W., et al. (2016). Global and regional brain non-gaussian diffusion changes in newly diagnosed patients with obstructive sleep apnea. Sleep, 39, 51–57

    Article  PubMed  PubMed Central  Google Scholar 

  • Wang, M., Norman, J. E., Srinivasan, V. J., et al. (2016). Metabolic, inflammatory, and microvascular determinants of white matter disease and cognitive decline. American Journal of Neurodegenerative Disease, 5, 171–177

    PubMed  PubMed Central  Google Scholar 

  • Wardlaw, J. M., Valdés Hernández, M. C., & Muñoz-Maniega, S. (2015). What are white matter hyperintensities made of? Relevance to vascular cognitive impairment. Journal of the American Heart Association, 4, 001140

    Article  PubMed  Google Scholar 

  • Watson, N. F. (2016). Health care savings: the economic value of diagnostic and therapeutic care for obstructive sleep apnea. Journal of Clinical Sleep Medicine, 12, 1075–1077

    Article  PubMed  PubMed Central  Google Scholar 

  • Zacharias, H. U., Weihs, A., Habes, M., et al. (2021). Association between obstructive sleep apnea and brain white matter hyperintensities in a population-based Cohort in Germany. JAMA Network Open, 4(10), e2128225

    Article  PubMed  PubMed Central  Google Scholar 

  • Zimmerman, M. E., & Aloia, M. S. (2006). A review of neuroimaging in obstructive sleep apnea. Journal of Clinical Sleep Medicine, 2, 461–471

    Article  PubMed  Google Scholar 

  • Zinchuk, A., & Yaggi, H. K. (2020). Phenotypic subtypes of OSA: a challenge and opportunity for precision medicine. Chest, 157, 403–420

    Article  PubMed  Google Scholar 

  • Zinchuk, A. V., Gentry, M. J., Concato, J., & Yaggi, H. K. (2017). Phenotypes in obstructive sleep apnea: a definition, examples and evolution of approaches. Sleep Medicine Reviews, 35, 113–123

    Article  PubMed  Google Scholar 

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Authors and Affiliations

Authors

Contributions

Noah Schammel—data collection clinical and sleep apnea data; writing/editing.

Trevor Vandewater—data collection MRI data; writing/editing.

Stella Self—statistical analysis; writing.

Christopher Wilson—statistical analysis; writing.

Christine Schammel—project coordinator; primary writer/editor.

Ronald Cowley—project concept; editing.

Dominic Gault—project concept; writing/editing.

Lee Madeline—project concept; primary editor.

Corresponding author

Correspondence to Christine M. G. Schammel.

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All authors declare they have no financial or non-financial conflicts of interest.

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The submitted work is original and has not been published elsewhere in any form or language.

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This project was approved by the Prisma Health/SC IRB prior to initiation. A universal consent was used for data collection and all data was de-identified.

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not applicable.

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Schammel, N.C., VandeWater, T., Self, S. et al. Obstructive sleep apnea and white matter hyperintensities: correlation or causation?. Brain Imaging and Behavior 16, 1671–1683 (2022). https://doi.org/10.1007/s11682-022-00642-9

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