Clinical Trials Logo

Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT03410095
Other study ID # SleepApneaStudy
Secondary ID
Status Recruiting
Phase
First received
Last updated
Start date December 12, 2018
Est. completion date June 15, 2022

Study information

Verified date March 2021
Source Sunnybrook Health Sciences Centre
Contact Andrew Centen, MSc
Phone 416-480-5143
Email sleepapneabrain@sunnybrook.ca
Is FDA regulated No
Health authority
Study type Observational [Patient Registry]

Clinical Trial Summary

Sleep is critical to human health, but insufficient and disrupted sleep caused by sleep apnea are common and have a major impact on brain health. However, there is still much that is not known about how sleep apnea damages the brain and what can be done to fix this. The Brain Changes in Sleep Apnea Study will look at the brain health of people with severe sleep apnea both before and after 4 months of treatment with a CPAP machine. Pre- and post-CPAP treatment, 80 participants with severe sleep apnea will undergo cognitive testing, blood and urine tests, a pulse wave velocity test, and an MRI. Also pre- and post-CPAP treatment, participants will wear a blood pressure monitor for 24 hours, wear an accelerometer watch for 8 nights to track the duration and quality of their sleep, and wear a device for 1 night of sleep to assess their breathing and blood oxygen levels. It is expected that there will be improvements in participants' brain health after 4 months of CPAP treatment.


Description:

Between January 2018 and February 2022, the Brain Changes in Sleep Apnea Study will recruit 80 adults with newly diagnosed severe sleep apnea attending the sleep clinics at Sunnybrook Health Sciences Centre (n=40) or the University of Edinburgh (n=40). Participants will undergo home-based assessment with 3 wearable devices (24 hours of ambulatory blood pressure monitoring, 8 nights of actigraphy to assess sleep duration and fragmentation, and 1 night of finger-probe peripheral arterial tonometry and oximetry to assess cardiorespiratory physiology including sleep apnea), completion of a sleep and health questionnaire, 24-hour collection of urine for assessing sympathetic nervous system activity, blood banking for endothelial biomarkers, cognitive evaluation, pulse wave velocity test, and an MRI of the brain, at 2 time points: 1) after initial polysomnographic diagnosis of sleep apnea but before the initiation of CPAP, and 2) after 4 months of CPAP treatment.


Recruitment information / eligibility

Status Recruiting
Enrollment 80
Est. completion date June 15, 2022
Est. primary completion date February 15, 2022
Accepts healthy volunteers No
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: - Newly diagnosed sleep apnea not on CPAP or any other treatment for sleep apnea; - Apnea hypopnea index >=15 on diagnostic polysomnogram; - Oxygen desaturation index >=10 or O2 saturation in sleep <90% for >15 minutes on diagnostic polysomnogram; - Subjectively sleepy; - Planning on starting CPAP for sleep apnea. Exclusion Criteria: - Known history of stroke, transient ischemic attack, or other CNS disease; - Unable to safely undergo MRI; - Use of alpha-blocking agents; - Persistent non-sinus arrhythmia; - Severe pulmonary or cardiac diseases including COPD and CHF; - Waking spO2<90%; - History of panic disorder.

Study Design


Related Conditions & MeSH terms


Intervention

Diagnostic Test:
Brain MRI, cognitive testing, bloodwork
Participants will undergo 3-Tesla MRI. Scan time will be about 1 hour and 15 minutes per subject per session at the Sunnybrook site. The protocol is designed to image SVD burden by quantifying PVS and WMH volumes, and image various physiological estimates on the brain. Participants will undergo the following cognitive tests: Behavioural Neurology Assessment-R (BNA-R), Montreal Cognitive Assessment (MOCA), Center for Epidemiologic Studies Depression Scale (CES-D), and BrainScreen. Blood samples will be assayed for inflammatory and endothelial function. Classical vascular risk factors will also be assessed. Once data collection is complete, DNA will be extracted from the frozen PBMC fraction and will be genotyped for APOE genotype and a panel of other single nucleotide polymorphisms known to be associated with cognition and cerebrovascular disease.

Locations

Country Name City State
Canada Sunnybrook Health Sciences Centre Toronto Ontario

Sponsors (2)

Lead Sponsor Collaborator
Dr. Andrew Lim University of Edinburgh

Country where clinical trial is conducted

Canada, 

References & Publications (33)

Achariyar TM, Li B, Peng W, Verghese PB, Shi Y, McConnell E, Benraiss A, Kasper T, Song W, Takano T, Holtzman DM, Nedergaard M, Deane R. Glymphatic distribution of CSF-derived apoE into brain is isoform specific and suppressed during sleep deprivation. Mol Neurodegener. 2016 Dec 8;11(1):74. Erratum in: Mol Neurodegener. 2017 Jan 12;12 (1):3. — View Citation

Ancoli-Israel S, Kripke DF, Klauber MR, Mason WJ, Fell R, Kaplan O. Sleep-disordered breathing in community-dwelling elderly. Sleep. 1991 Dec;14(6):486-95. — View Citation

Baumgart P, Kamp J. Accuracy of the SpaceLabs Medical 90217 ambulatory blood pressure monitor. Blood Press Monit. 1998 Oct;3(5):303-307. — View Citation

Berezuk C, Ramirez J, Gao F, Scott CJ, Huroy M, Swartz RH, Murray BJ, Black SE, Boulos MI. Virchow-Robin Spaces: Correlations with Polysomnography-Derived Sleep Parameters. Sleep. 2015 Jun 1;38(6):853-8. doi: 10.5665/sleep.4726. — View Citation

Clement DL, De Buyzere ML, De Bacquer DA, de Leeuw PW, Duprez DA, Fagard RH, Gheeraert PJ, Missault LH, Braun JJ, Six RO, Van Der Niepen P, O'Brien E; Office versus Ambulatory Pressure Study Investigators. Prognostic value of ambulatory blood-pressure recordings in patients with treated hypertension. N Engl J Med. 2003 Jun 12;348(24):2407-15. — View Citation

Gottlieb DJ, Punjabi NM, Mehra R, Patel SR, Quan SF, Babineau DC, Tracy RP, Rueschman M, Blumenthal RS, Lewis EF, Bhatt DL, Redline S. CPAP versus oxygen in obstructive sleep apnea. N Engl J Med. 2014 Jun 12;370(24):2276-85. doi: 10.1056/NEJMoa1306766. — View Citation

Hachinski V; World Stroke Organization. Stroke and Potentially Preventable Dementias Proclamation: Updated World Stroke Day Proclamation. Stroke. 2015 Nov;46(11):3039-40. doi: 10.1161/STROKEAHA.115.011237. Erratum in: Stroke. 2016 Jan;47(1):e18. Stroke. 2016 Feb;47(2):e37. — View Citation

Hedner J, White DP, Malhotra A, Herscovici S, Pittman SD, Zou D, Grote L, Pillar G. Sleep staging based on autonomic signals: a multi-center validation study. J Clin Sleep Med. 2011 Jun 15;7(3):301-6. doi: 10.5664/JCSM.1078. — View Citation

Jessen NA, Munk AS, Lundgaard I, Nedergaard M. The Glymphatic System: A Beginner's Guide. Neurochem Res. 2015 Dec;40(12):2583-99. doi: 10.1007/s11064-015-1581-6. Epub 2015 May 7. Review. — View Citation

Kim H, Yun CH, Thomas RJ, Lee SH, Seo HS, Cho ER, Lee SK, Yoon DW, Suh S, Shin C. Obstructive sleep apnea as a risk factor for cerebral white matter change in a middle-aged and older general population. Sleep. 2013 May 1;36(5):709-715B. doi: 10.5665/sleep.2632. — View Citation

Kress BT, Iliff JJ, Xia M, Wang M, Wei HS, Zeppenfeld D, Xie L, Kang H, Xu Q, Liew JA, Plog BA, Ding F, Deane R, Nedergaard M. Impairment of paravascular clearance pathways in the aging brain. Ann Neurol. 2014 Dec;76(6):845-61. doi: 10.1002/ana.24271. Epub 2014 Sep 26. — View Citation

Lichstein KL, Stone KC, Donaldson J, Nau SD, Soeffing JP, Murray D, Lester KW, Aguillard RN. Actigraphy validation with insomnia. Sleep. 2006 Feb;29(2):232-9. — View Citation

Lim AS, Kowgier M, Yu L, Buchman AS, Bennett DA. Sleep Fragmentation and the Risk of Incident Alzheimer's Disease and Cognitive Decline in Older Persons. Sleep. 2013 Jul 1;36(7):1027-1032. — View Citation

Lim AS, Srivastava GP, Yu L, Chibnik LB, Xu J, Buchman AS, Schneider JA, Myers AJ, Bennett DA, De Jager PL. 24-hour rhythms of DNA methylation and their relation with rhythms of RNA expression in the human dorsolateral prefrontal cortex. PLoS Genet. 2014 Nov 6;10(11):e1004792. doi: 10.1371/journal.pgen.1004792. eCollection 2014 Nov. — View Citation

Lim AS, Yu L, Costa MD, Buchman AS, Bennett DA, Leurgans SE, Saper CB. Quantification of the fragmentation of rest-activity patterns in elderly individuals using a state transition analysis. Sleep. 2011 Nov 1;34(11):1569-81. doi: 10.5665/sleep.1400. — View Citation

Lim AS, Yu L, Schneider JA, Bennett DA, Buchman AS. Sleep Fragmentation, Cerebral Arteriolosclerosis, and Brain Infarct Pathology in Community-Dwelling Older People. Stroke. 2016 Feb;47(2):516-8. doi: 10.1161/STROKEAHA.115.011608. Epub 2016 Jan 14. — View Citation

Lundblad LC, Fatouleh RH, Hammam E, McKenzie DK, Macefield VG, Henderson LA. Brainstem changes associated with increased muscle sympathetic drive in obstructive sleep apnoea. Neuroimage. 2014 Dec;103:258-266. doi: 10.1016/j.neuroimage.2014.09.031. Epub 2014 Sep 22. — View Citation

Lundblad LC, Fatouleh RH, McKenzie DK, Macefield VG, Henderson LA. Brain stem activity changes associated with restored sympathetic drive following CPAP treatment in OSA subjects: a longitudinal investigation. J Neurophysiol. 2015 Aug;114(2):893-901. doi: 10.1152/jn.00092.2015. Epub 2015 May 20. — View Citation

Malhotra A, Younes M, Kuna ST, Benca R, Kushida CA, Walsh J, Hanlon A, Staley B, Pack AI, Pien GW. Performance of an automated polysomnography scoring system versus computer-assisted manual scoring. Sleep. 2013 Apr 1;36(4):573-82. doi: 10.5665/sleep.2548. — View Citation

Martínez-García MA, Capote F, Campos-Rodríguez F, Lloberes P, Díaz de Atauri MJ, Somoza M, Masa JF, González M, Sacristán L, Barbé F, Durán-Cantolla J, Aizpuru F, Mañas E, Barreiro B, Mosteiro M, Cebrián JJ, de la Peña M, García-Río F, Maimó A, Zapater J, Hernández C, Grau SanMarti N, Montserrat JM; Spanish Sleep Network. Effect of CPAP on blood pressure in patients with obstructive sleep apnea and resistant hypertension: the HIPARCO randomized clinical trial. JAMA. 2013 Dec 11;310(22):2407-15. doi: 10.1001/jama.2013.281250. — View Citation

O'Brien E, Mee F, Atkins N, O'Malley K. Accuracy of the SpaceLabs 90207 determined by the British Hypertension Society protocol. J Hypertens. 1991 Jun;9(6):573-4. — View Citation

O'Brien E, Mee F, Atkins N, O'Malley K. Accuracy of the SpaceLabs 90207, Novacor DIASYS 200, Del Mar Avionics Pressurometer IV and Takeda TM-2420 ambulatory systems according to British and American criteria. J Hypertens Suppl. 1991 Dec;9(6):S332-3. — View Citation

Onder NS, Akpinar ME, Yigit O, Gor AP. Watch peripheral arterial tonometry in the diagnosis of obstructive sleep apnea: influence of aging. Laryngoscope. 2012 Jun;122(6):1409-14. doi: 10.1002/lary.23233. Epub 2012 Apr 20. — View Citation

Radloff, L.S. (1977). The CED-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385-401

Redline S, Yenokyan G, Gottlieb DJ, Shahar E, O'Connor GT, Resnick HE, Diener-West M, Sanders MH, Wolf PA, Geraghty EM, Ali T, Lebowitz M, Punjabi NM. Obstructive sleep apnea-hypopnea and incident stroke: the sleep heart health study. Am J Respir Crit Care Med. 2010 Jul 15;182(2):269-77. doi: 10.1164/rccm.200911-1746OC. Epub 2010 Mar 25. — View Citation

Sohail S, Yu L, Bennett DA, Buchman AS, Lim AS. Irregular 24-hour activity rhythms and the metabolic syndrome in older adults. Chronobiol Int. 2015;32(6):802-13. doi: 10.3109/07420528.2015.1041597. Epub 2015 Jun 10. — View Citation

Sokolove PG, Bushell WN. The chi square periodogram: its utility for analysis of circadian rhythms. J Theor Biol. 1978 May 8;72(1):131-60. — View Citation

Witting W, Kwa IH, Eikelenboom P, Mirmiran M, Swaab DF. Alterations in the circadian rest-activity rhythm in aging and Alzheimer's disease. Biol Psychiatry. 1990 Mar 15;27(6):563-72. — View Citation

Xie L, Kang H, Xu Q, Chen MJ, Liao Y, Thiyagarajan M, O'Donnell J, Christensen DJ, Nicholson C, Iliff JJ, Takano T, Deane R, Nedergaard M. Sleep drives metabolite clearance from the adult brain. Science. 2013 Oct 18;342(6156):373-7. doi: 10.1126/science.1241224. — View Citation

Yaffe K, Laffan AM, Harrison SL, Redline S, Spira AP, Ensrud KE, Ancoli-Israel S, Stone KL. Sleep-disordered breathing, hypoxia, and risk of mild cognitive impairment and dementia in older women. JAMA. 2011 Aug 10;306(6):613-9. doi: 10.1001/jama.2011.1115. — View Citation

Yalamanchali S, Farajian V, Hamilton C, Pott TR, Samuelson CG, Friedman M. Diagnosis of obstructive sleep apnea by peripheral arterial tonometry: meta-analysis. JAMA Otolaryngol Head Neck Surg. 2013 Dec;139(12):1343-50. doi: 10.1001/jamaoto.2013.5338. Review. — View Citation

Young T, Palta M, Dempsey J, Skatrud J, Weber S, Badr S. The occurrence of sleep-disordered breathing among middle-aged adults. N Engl J Med. 1993 Apr 29;328(17):1230-5. — View Citation

Zakzanis KK, Azarbehi R. Introducing BRAINscreen: web-based real-time examination and interpretation of cognitive function. Appl Neuropsychol Adult. 2014;21(2):77-86. doi: 10.1080/09084282.2012.742994. Epub 2013 Jun 27. — View Citation

* Note: There are 33 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Change from baseline in perivascular space volume We will use repeated measures linear mixed effect models to estimate the main effect of CPAP (i.e. compare pre- and post-CPAP measurements) on perivascular space volume. Baseline and 4 months
Primary Change from baseline in DTI fractional anisotropy on voxel-wise basis We will use repeated measures linear mixed effect models to estimate the main effect of CPAP (i.e. compare pre- and post-CPAP measurements) on DTI fractional anisotropy on voxel-wise basis. Baseline and 4 months
Primary Change from baseline in a summary measure of arterial pulsatility We will use repeated measures linear mixed effect models to estimate the main effect of CPAP (i.e. compare pre- and post-CPAP measurements) on arterial pulsatility (as measured by the pulse wave velocity test). Baseline and 4 months
Primary Change from baseline in perivascular lactate measured by MR spectroscopy We will use repeated measures linear mixed effect models to estimate the main effect of CPAP (i.e. compare pre- and post-CPAP measurements) on perivascular lactate (as measured by MR spectroscopy). Baseline and 4 months
Primary Change from baseline in cerebrovascular reactivity on a voxel-wise basis We will use repeated measures linear mixed effect models to estimate the main effect of CPAP (i.e. compare pre- and post-CPAP measurements) on cerebrovascular reactivity on a voxel-wise basis. Baseline and 4 months
Secondary Change from baseline in 24-hour blood pressure We will quantify the main effect of CPAP treatment on 24-hour blood pressure (as measured by the ambulatory blood pressure monitor). Baseline and 4 months
Secondary Change from baseline in sleep duration and fragmentation We will quantify the main effect of CPAP treatment on sleep duration and fragmentation (as measured by the GENEActiv). Baseline and 4 months
Secondary Change from baseline in severity of sleep apnea, % deep NREM sleep, and hypoxemia We will quantify the main effect of CPAP treatment on severity of sleep apnea, % deep NREM sleep, and hypoxemia (as measured by the WatchPAT). Baseline and 4 months
Secondary Change from baseline in serum markers of metabolic, inflammatory, cardiovascular, and endothelial function We will quantify the main effect of CPAP treatment on serum markers of metabolic, inflammatory, cardiovascular, and endothelial function (as measured by blood tests). Baseline and 4 months
Secondary Change from baseline in urinary measures of sympathetic nervous system We will quantify the main effect of CPAP treatment on urinary measures of sympathetic nervous system (as measured with urine test). Baseline and 4 months
Secondary Change from baseline in cognitive performance We will quantify the main effect of CPAP treatment on cognitive performance (as measured by our computerized battery, which includes the MoCA, BNA-R, and BrainScreen). Baseline and 4 months
See also
  Status Clinical Trial Phase
Completed NCT04044495 - Sleep, Rhythms and Risk of Alzheimer's Disease N/A
Recruiting NCT06079853 - Nurse Suicide: Physiologic Sleep Health Promotion Trial N/A
Completed NCT05017974 - Research on Improving Sleep During Pregnancy N/A
Recruiting NCT05206747 - Ottawa Sunglasses at Night for Mania Study N/A
Enrolling by invitation NCT04253054 - Chinese Multi-provincial Cohort Study-Beijing Project
Completed NCT04513743 - Ultra Long-Term Sleep Monitoring Using UNEEG™ Medical 24/7 EEG™ SubQ N/A
Completed NCT03251274 - Bath Machine on Sleep Quality in Nursing Home N/A
Completed NCT04102345 - Lavender vs Zolpidem Sleep Quality During Diagnostic PSG Early Phase 1
Completed NCT03725943 - Comparison of Dreem to Clinical PSG for Sleep Monitoring in Healthy Adults N/A
Active, not recruiting NCT05062161 - Sleep Duration and Blood Pressure During Sleep N/A
Completed NCT04562181 - Consistency Evaluation of the qCON, qNOX Indices and Bispectral Index N/A
Completed NCT05102565 - A Dyadic Telehealth Program for Alzheimer's Patients/Caregivers N/A
Completed NCT05576844 - Ai Youmian (Love Better Sleep) for People Living With HIV N/A
Completed NCT04688099 - Synovial Fluid Sleep Study
Recruiting NCT04171245 - Prescribing Laughter for Sleep and Wellbeing in UAE University Students N/A
Completed NCT03758768 - The Effects of a Blue Monochromatic Light Intervention on Evening-type Individuals' Sleep and Circadian Rhythms N/A
Completed NCT03163498 - Evaluation of Sleep Pattern and Mood Profile in Hypertensive Patients
Completed NCT04093271 - Investigating the Efficacy of Rest-ZZZ Formula in Healthy Participants With Difficulty Falling Asleep or Staying a Sleep Phase 1
Completed NCT03673397 - The Acute Effect of Aerobic Exercise on Sleep in Patients With Depression N/A
Completed NCT04120363 - Trial of Testosterone Undecanoate for Optimizing Performance During Military Operations Phase 4