Skip to main content

Advertisement

Log in

Sleep apnea and carotid atherosclerosis in the Multi-Ethnic Study of Atherosclerosis (MESA): leveraging state-of-the-art vascular imaging

  • OriginalPaper
  • Published:
The International Journal of Cardiovascular Imaging Aims and scope Submit manuscript

Abstract

Purpose

To further characterize the relationship between obstructive sleep apnea (OSA) and carotid atherosclerosis, we examined the structural and metabolic features of carotid plaque using hybrid 18-F-fluorodeoxyglucose (FDG) Positron Emission Tomography/Magnetic Resonance Imaging (PET/MRI) in the Multi-Ethnic Study of Atherosclerosis (MESA).

Methods

We studied 46 individuals from the MESA-PET and MESA-Sleep ancillary studies. OSA was defined as an apnea hypopnea index [AHI] ≥ 15 events per hour (4% desaturation). PET/MRI was used to measure carotid plaque inflammation (using target-to-background-ratios [TBR]) and carotid wall thickness (CWT). Linear regression was used to assess the associations between OSA, CWT and TBR.

Results

The mean age was 67.9 years (SD 8.53) and the mean BMI was 28.9 kg/m2 (SD 4.47). There was a trend toward a higher mean CWT in the OSA (n = 11) vs. non-OSA group (n = 35), 1.51 vs. 1.41 (p = 0.098). TBR did not differ by OSA groups, and there was no significant association between OSA and carotid plaque inflammation (TBR) in adjusted analyses. Although there was a significant interaction between OSA and obesity, there were no statistically significant associations between OSA and vascular inflammation in stratified analysis by obesity.

Conclusion

Despite a trend toward a higher carotid wall thickness in OSA vs. non-OSA participants, we did not find an independent association between OSA and carotid plaque inflammation using PET/MRI in MESA. Our findings suggest that simultaneous assessments of structural and metabolic features of atherosclerosis may fill current knowledge gaps pertaining to the influence of OSA on atherosclerosis prevalence and progression.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Data availability

The data analyzed in this study is subject to the following licenses/restrictions: MESA data can be accessed after submitting a manuscript proposal to MESA Publications & Presentations Committee and obtaining its approval to conduct the research work. Requests to access these datasets should be directed to Karen Hansen, hansenk3@u.washington.edu.

Abbreviations

AASM:

American Academy of Sleep Medicine

ADA:

American Diabetes Association

AHI:

Apnea–hypopnea index

BMI:

Body mass index

CAD:

Coronary artery disease

CHD:

Coronary heart disease

CIMT:

Carotid intima media thickness

CMR:

Cardiac magnetic resonance

CWT:

Carotid wall thickness

CPAP:

Continuous positive airway pressure

CVD:

Cardiovascular disease

ECG:

Electrocardiogram

EMG:

Electromyography

HDL:

High density lipoprotein

LDL:

Low density lipoprotein

LGE:

Late-gadolinium enhancement

LV:

Left ventricular

MESA:

Multi-Ethnic Study of Atherosclerosis

MI:

Myocardial infarction

OSA:

Obstructive sleep apnea

PET/MRI:

Positron emission tomography/magnetic resonance imaging

PSG:

Polysomnography

PWV:

Pulse wave velocity

REM:

Rapid eye movement

SA:

Sleep apnea

SCD:

Sudden cardiac death

SDB:

Sleep disordered breathing

SUV:

Standardized uptake value

TBR:

Target-to-background ratio

TST:

Total sleep time

TWPAS:

Typical week physical activity survey

References

  1. Morgenthaler TI, Croft JB, Dort LC et al (2015) Development of the National Healthy Sleep Awareness Project Sleep Health Surveillance Questions. J Clin Sleep Med 11:1057–1062

    Article  PubMed  PubMed Central  Google Scholar 

  2. Jung Y, Junna MR, Mandrekar JN, Morgenthaler TI (2017) The National Healthy Sleep Awareness Project Sleep Health Surveillance Questionnaire as an obstructive sleep apnea surveillance tool. J Clin Sleep Med 13:1067

    Article  PubMed  PubMed Central  Google Scholar 

  3. Mooe T, Wiklund U, Franklin KA, Eriksson PRT (1996) Sleep- disordered breathing in men with coronary artery disease. Chest 109:659–663

    Article  CAS  PubMed  Google Scholar 

  4. Mooe T, Rabben T, Wiklund U et al (1996) Sleep-disordered breathing in men with coronary artery disease. Chest 109:659–663

    Article  CAS  PubMed  Google Scholar 

  5. Carlson JT, Hedner JA, Ejnell H, Peterson LE (1994) High prevalence of hypertension in sleep apnea patients independent of obesity. Am J Respir Crit Care Med 150:72–77

    Article  CAS  PubMed  Google Scholar 

  6. Ludka O, Stepanova R, Vyskocilova M et al (2014) Sleep apnea prevalence in acute myocardial infarction–the Sleep Apnea in Post-acute Myocardial Infarction Patients (SAPAMI) Study. Int J Cardiol 176:13–19. https://doi.org/10.1016/j.ijcard.2014.06.020

    Article  PubMed  PubMed Central  Google Scholar 

  7. Somers VK, Amin R, Abraham WT, Costa F, Culebras A, Daniels S, Floras JS, Hunt CE, Olson LJ, Pickering TG, Russell R, Woo M, Young TWDP (2008) Sleep apnea and cardiovascular disease: an American Heart Association/American College of Cardiology Foundation Scientific Statement from the American Heart Association Council for High Blood Pressure Research Professional Education Committee, Council. J Am Coll Cardiol 52:686–717

    Article  PubMed  Google Scholar 

  8. Gonzaga C, Bertolami A, Bertolami M et al (2015) Obstructive sleep apnea, hypertension and cardiovascular diseases. J Hum Hypertens 29:705–712. https://doi.org/10.1038/JHH.2015.15

    Article  CAS  PubMed  Google Scholar 

  9. Floras JS (2014) Sleep apnea and cardiovascular risk. J Cardiol 63:3–8. https://doi.org/10.1016/J.JJCC.2013.08.009

    Article  PubMed  Google Scholar 

  10. Drager LF, Yao Q, Hernandez KL et al (2013) Chronic intermittent hypoxia induces atherosclerosis via activation of adipose angiopoietin-like 4. Am J Respir Crit Care Med 188:240–248. https://doi.org/10.1164/rccm.201209-1688OC

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Jun J, Reinke C, Bedja D et al (2010) Effect of intermittent hypoxia on atherosclerosis in apolipoprotein E-deficient mice. Atherosclerosis 209:381–386. https://doi.org/10.1016/j.atherosclerosis.2009.10.017

    Article  CAS  PubMed  Google Scholar 

  12. Ryan S, Taylor CT, McNicholas WT (2005) Selective activation of inflammatory pathways by intermittent hypoxia in obstructive sleep apnea syndrome. Circulation 112:2660–2667

    Article  CAS  PubMed  Google Scholar 

  13. Drager LF, Bortolotto LA, Lorenzi MC et al (2005) Early signs of atherosclerosis in obstructive sleep apnea. Am J Respir Crit Care Med 172:613–618. https://doi.org/10.1164/rccm.200503-340OC

    Article  PubMed  Google Scholar 

  14. Costanzo P, Perrone-Filardi P, Vassallo E et al (2010) Does carotid intima-media thickness regression predict reduction of cardiovascular events? A meta-analysis of 41 randomized trials. J Am Coll Cardiol 56:2006–2020. https://doi.org/10.1016/j.jacc.2010.05.059

    Article  PubMed  Google Scholar 

  15. Rominger A, Saam T, Wolpers S et al (2009) 18F-FDG PET/CT identifies patients at risk for future vascular events in an otherwise asymptomatic cohort with neoplastic disease. J Nucl Med 50:1611–1620. https://doi.org/10.2967/jnumed.109.065151

    Article  PubMed  Google Scholar 

  16. Cocker MS, Mc Ardle B, Spence JD et al (2012) Imaging atherosclerosis with hybrid [18F]fluorodeoxyglucose positron emission tomography/computed tomography imaging: what Leonardo da Vinci could not see. J Nucl Cardiol 19:1211–1225. https://doi.org/10.1007/s12350-012-9631-9

    Article  PubMed  PubMed Central  Google Scholar 

  17. Tarkin JM, Joshi FR, Rudd JHF (2014) PET imaging of inflammation in atherosclerosis. Nat Rev Cardiol 11:443–457

    Article  CAS  PubMed  Google Scholar 

  18. Fayad ZA, Mani V, Woodward M et al (2011) Safety and efficacy of dalcetrapib on atherosclerotic disease using novel non-invasive multimodality imaging (dal-PLAQUE): a randomised clinical trial. Lancet (Lond, Engl) 378:1547–1559. https://doi.org/10.1016/S0140-6736(11)61383-4

    Article  CAS  Google Scholar 

  19. Rudd JHF, Warburton EA, Fryer TD et al (2002) Imaging atherosclerotic plaque inflammation with [18F]-fluorodeoxyglucose positron emission tomography. Circulation 105:2708–2711

    Article  CAS  PubMed  Google Scholar 

  20. Kundel V, Trivieri MG, Karakatsanis NA et al (2018) Assessment of atherosclerotic plaque activity in patients with sleep apnea using hybrid positron emission tomography/magnetic resonance imaging (PET/MRI): a feasibility study. Sleep Breath. https://doi.org/10.1007/s11325-018-1646-2

    Article  PubMed  PubMed Central  Google Scholar 

  21. Lutsey PL, Mcclelland RL, Duprez D et al (2015) Objectively measured sleep characteristics and prevalence of coronary artery calcification: the Multi-Ethnic Study of Atherosclerosis Sleep study. Thorax 70:880–887. https://doi.org/10.1136/thoraxjnl-2015-206871

    Article  PubMed  Google Scholar 

  22. Redline S, Sanders MH, Lind BK et al (1998) Methods for obtaining and analyzing unattended polysomnography data for a multicenter study. Sleep Heart Health Res Group Sleep 21:759–767

    CAS  Google Scholar 

  23. ASDA, Anonymous, Bonnet M, et al (1992) EEG arousals: scoring rules and examples: a preliminary report from the Sleep Disorders Atlas Task Force of the American Sleep Disorders Association. Sleep 15:173–184. https://doi.org/10.1093/sleep/15.2.174

    Article  Google Scholar 

  24. Redline S, Budhiraja R, Kapur V et al (2007) The scoring of respiratory events in sleep: reliability and validity. J Clin Sleep Med 3:169–200

    Article  PubMed  Google Scholar 

  25. Rudd JH, Myers KS, Bansilal S et al (2007) (18)Fluorodeoxyglucose positron emission tomography imaging of atherosclerotic plaque inflammation is highly reproducible: implications for atherosclerosis therapy trials. J Am Coll Cardiol 50:892–896

    Article  PubMed  Google Scholar 

  26. Ben Bouallegue F, Crouzet J-F, Comtat C et al (2007) Exact and approximate fourier rebinning algorithms for the solution of the data truncation problem in 3-D PET. IEEE Trans Med Imaging 26:1001–1009. https://doi.org/10.1109/TMI.2007.897362

    Article  Google Scholar 

  27. Rudd JHF, Myers KS, Bansilal S et al (2008) Atherosclerosis inflammation imaging with 18F-FDG PET: carotid, iliac, and femoral uptake reproducibility, quantification methods, and recommendations. J Nucl Med 49:871–878. https://doi.org/10.2967/jnumed.107.050294

    Article  PubMed  Google Scholar 

  28. Bucerius J, Hyafil F, Verberne HJ et al (2016) Position paper of the Cardiovascular Committee of the European Association of Nuclear Medicine (EANM) on PET imaging of atherosclerosis. Eur J Nucl Med Mol Imaging 43:780–792. https://doi.org/10.1007/s00259-015-3259-3

    Article  PubMed  Google Scholar 

  29. El AH, Mani V, Weinshelbaum KB et al (2012) MRI Plaque burden of the carotid arteries and aorta: Reproducibility, age, sex and systemic distribution. Nat Clin Pr Cardiovasc Med 6:219

    Google Scholar 

  30. Bild DE, Bluemke DA, Burke GL et al (2002) Multi-ethnic study of atherosclerosis: objectives and design. Am J Epidemiol. https://doi.org/10.1093/aje/kwf113

    Article  PubMed  Google Scholar 

  31. Kaplan NM (1998) The 6th Joint National Committee report (JNC-6): new guidelines for hypertension therapy from the USA. Keio J Med. https://doi.org/10.2302/kjm.47.99

    Article  PubMed  Google Scholar 

  32. Association AD (2003) Standards of medical care for patients with diabetes mellitus. Diabetes Care 26:s33–s50. https://doi.org/10.2337/DIACARE.26.2007.S33

    Article  Google Scholar 

  33. Kim J, Mohler ER, Keenan BT et al (2017) Carotid artery wall thickness in obese and non-obese adults with obstructive sleep apnea before and following positive airway pressure treatment. Sleep. https://doi.org/10.1093/sleep/zsx126

    Article  PubMed  PubMed Central  Google Scholar 

  34. Zhao YY, Javaheri S, Wang R et al (2019) Associations between sleep apnea and subclinical carotid atherosclerosis the multi-ethnic study of atherosclerosis. Stroke. https://doi.org/10.1161/STROKEAHA.118.022184

    Article  PubMed  PubMed Central  Google Scholar 

  35. Drager LF, Bortolotto LA, Figueiredo AC et al (2007) Effects of continuous positive airway pressure on early signs of atherosclerosis in obstructive sleep apnea. Am J Respir Crit Care Med 176:706–712. https://doi.org/10.1164/rccm.200703-500OC

    Article  CAS  PubMed  Google Scholar 

  36. Polak JF, Pencina MJ, Pencina KM et al (2011) Carotid-wall intima-media thickness and cardiovascular events. N Engl J Med 365:213–221. https://doi.org/10.1056/NEJMoa1012592

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Inaba Y, Chen JA, Bergmann SR (2012) Carotid plaque, compared with carotid intima-media thickness, more accurately predicts coronary artery disease events: a meta-analysis. Atherosclerosis 220:128–133. https://doi.org/10.1016/j.atherosclerosis.2011.06.044

    Article  CAS  PubMed  Google Scholar 

  38. Nambi V, Chambless L, Folsom AR et al (2010) Carotid intima-media thickness and presence or absence of plaque improves prediction of coronary heart disease risk: the ARIC (Atherosclerosis Risk in Communities) study. J Am Coll Cardiol 55:1600–1607. https://doi.org/10.1016/j.jacc.2009.11.075

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. McEvoy RD, Antic NA, Heeley E et al (2016) CPAP for prevention of cardiovascular events in obstructive sleep apnea. N Engl J Med 375:919–931. https://doi.org/10.1056/NEJMoa1606599

    Article  PubMed  Google Scholar 

  40. Peker Y, Glantz H, Eulenburg C et al (2016) Effect of positive airway pressure on cardiovascular outcomes in coronary artery disease patients with nonsleepy obstructive sleep apnea. The RICCADSA Randomized Controlled Trial. Am J Respir Crit Care Med 194:613–620. https://doi.org/10.1164/rccm.201601-0088OC

    Article  CAS  PubMed  Google Scholar 

  41. Yu J, Zhou Z, Mcevoy RD et al (2017) Association of positive airway pressure with cardiovascular events and death in adults with sleep apnea a systematic review and meta-analysis. JAMA 318:156–166. https://doi.org/10.1001/jama.2017.7967

    Article  PubMed  PubMed Central  Google Scholar 

  42. Ramadan R, Dhawan SS, Binongo JNG et al (2016) Effect of angiotensin II Type I receptor blockade with valsartan on carotid artery atherosclerosis: a double blind randomized clinical trial comparing valsartan and placebo (EFFERVESCENT). Am Heart J 174:68–79. https://doi.org/10.1016/J.AHJ.2015.12.021

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

The authors thank the investigators, staff, and participants of the MESA study for their valuable contributions. A full list of participating MESA investigators and institutions can be found at http://www.mesa-nhlbi.org. Imaging studies were performed at the Biomedical Engineering and Imaging Institute (BMEII) at Mount Sinai, NY. Participants for the MESA-PET Ancillary Study were recruited at Columbia University, NY by Dr. Steven Shea (R01HL127637—MESA Exam 6). Manuscript preparation was conducted at the Icahn School of Medicine at Mount Sinai, NY (Dr. Neomi Shah—R01HL143221).

Funding

This research was supported by contracts with University of Washington Coordinating Center (HHSN268201500003I, N01-HC-95159), UCLA Field Center (N01-HC-95160), Columbia University Field Center ( N01-HC-95161), Johns Hopkins University Field Center (N01-HC-95162), University of Minnesota Field Center (N01-HC-95163), Northwestern University Field Center (N01-HC-95164), Wake Forest University Field Center (N01-HC-95165),Central Laboratory (N01-HC-95166), Ultrasound Reading Center (N01-HC-95167), MRI Reading Center (N01-HC-95168) and CT Reading Center (N01-HC-95169) from the National Heart, Lung, and Blood Institute, and by grants UL1-TR-000040 (Columbia CTSA), UL1-TR-001079 (Johns Hopkins ICTR), and UL1-TR-001420 (Wake Forest University CTSA) from NCATS. The MESA Sleep study was support by NHLBI grant R01HL56984. The MESA-PET study was supported by NHLBI grant R01HL127637. Dr. Susan Redline was partially supported by R35 HL135818. Dr. Neomi A Shah has funding from the National Institute of Health/National Heart, Lung, and Blood Institute (1R03HL140273-01, 1R01HL143221-01).

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed meaningfully to this work. All authors have seen and approved this manuscript for publication.

Corresponding author

Correspondence to Neomi Shah.

Ethics declarations

Conflict of interest

Ms. Michelle Reid declares that she has no conflict of interest. Dr. Venkatesh Mani declares that he has no conflict of interest. Dr. Vaishnavi Kundel declares that she has no conflict of interest. Dr. Robert Kaplan declares that he has no conflict of interest. Dr. Zahi Fayad declares that he has no conflict of interest. Dr. Steven Shea declares that he has no conflict of interest. Dr. Neomi Shah reports receiving funding and consulting funds from Itamar and Respicardia, unrelated to this project and stock ownership in Abbott Laboratories. Dr. Susan Redline reports receiving grants and consulting funds from Jazz Pharmaceuticals and consulting fees from Eisai Pharmaceuticals, unrelated to this project. Dr. Jorge Kizer reports stock ownership in Abbott, Bristol-Myers Squibb, Johnson & Johnson, Medtronic, Merck and Pfizer.

Research involving human participants and/or animals

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. The MESA protocol was approved by the Institutional Review Board from each participating institution [Wake Forest University (IRB00008492), Columbia University (IRB00002973), Johns Hopkins University (IRB00001656), University of Minnesota (IRB00000438), Northwestern University (IRB00005003), University of California Los Angeles (IRB00000172), and University of Washington (IRB00005647)]. Additionally, Institutional Review Board approval was obtained by the Columbia University institutional review board (IRB AAAQ1318) for the MESA PET ancillary study.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 14 kb)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shah, N., Reid, M., Mani, V. et al. Sleep apnea and carotid atherosclerosis in the Multi-Ethnic Study of Atherosclerosis (MESA): leveraging state-of-the-art vascular imaging. Int J Cardiovasc Imaging 39, 621–630 (2023). https://doi.org/10.1007/s10554-022-02743-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10554-022-02743-4

Keywords

Navigation