Sleep Apnea Syndromes Clinical Trial
— RAP-IHOfficial title:
Respiratory and Autonomic Plasticity Following Intermittent Hypoxia
Verified date | September 2017 |
Source | VA Office of Research and Development |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
The prevalence of obstructive sleep apnea is high in the Veteran population. If not treated promptly, sleep apnea may result in daytime fatigue which may lead to increased prevalence of accidents while driving or in the workplace. Recent large scale epidemiological studies have shown that the prevalence of excessive daytime sleepiness increases in individuals who suffer from obstructive sleep apnea. Obstructive sleep apnea may also result in the development of hypertension and other cardiovascular disorders. Previous findings have shown that subjects with sleep apnea have a greater risk for developing coronary vascular disease compared to individuals that do not suffer from sleep apnea Thus, a significant amount of evidence suggests that sleep apnea is a major health concern in the Veteran population. Consequently, determining the mechanisms that may impact on the severity of sleep apnea and increase the prevalence of cardiovascular incidents associated with this disorder is important, as is discovering novel treatments.
Status | Completed |
Enrollment | 63 |
Est. completion date | September 2013 |
Est. primary completion date | September 2013 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 20 Years to 40 Years |
Eligibility |
Inclusion Criteria: Characteristics of OSA subject population: - Body mass index < 30 kg/m2. - 20 to 40 years old. - Newly diagnosed never-treated mild to moderate sleep apnea (i.e. 50 > apnea/hypopnea index >10 events per hour - average nocturnal oxygen saturation > 90%). - Not pregnant. - Free of any other known medical conditions. - Not taking any medication. - Non-smokers with normal lung function. - Minimal alcohol consumption (i.e. no more than the equivalent of a glass of wine/day). Characteristics of control group population: - Body mass index < 30 kg/m2. - 20 to 40 years old. - Apnea/hypopnea index < 5 events per hour. - Not pregnant. - Free of any known medical conditions. - Not taking any medication. - Non-smokers with normal lung function. - Minimal alcohol consumption (i.e. no more than the equivalent of a glass of wine/day). Exclusion Criteria: - Anything not in inclusion criteria. |
Country | Name | City | State |
---|---|---|---|
United States | John D. Dingell VA Medical Center, Detroit | Detroit | Michigan |
Lead Sponsor | Collaborator |
---|---|
VA Office of Research and Development |
United States,
Mateika JH, Syed Z. Intermittent hypoxia, respiratory plasticity and sleep apnea in humans: present knowledge and future investigations. Respir Physiol Neurobiol. 2013 Sep 15;188(3):289-300. doi: 10.1016/j.resp.2013.04.010. Epub 2013 Apr 12. Review. — View Citation
Syed Z, Lin HS, Mateika JH. The impact of arousal state, sex, and sleep apnea on the magnitude of progressive augmentation and ventilatory long-term facilitation. J Appl Physiol (1985). 2013 Jan 1;114(1):52-65. doi: 10.1152/japplphysiol.00985.2012. Epub 2 — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Ventilation (Aim 1) | Ventilation was measured before and after exposure to intermittent hypoxia in males and females. Ventilation was measured using a pneumotachograph, which is a flow measuring device. | Within the same experimental session | |
Primary | Heart Rate Variability (Aim 2) | Heart rate variability (HRV) was measured before and after exposure to intermittent hypoxia following administration of a placebo or antioxidant cocktail. Heart rate variability refers to beat-to-beat alterations in heart rate. Under resting conditions, the electrocardiogram of healthy individuals reveals periodic variation in R-R intervals. To measure HRV, R-R interval data are presented in a graph, in which the y-axis plots the R-R intervals (ms2), and the x-axis the total number of beats. Spectral analysis of the graph transforms the signal from time to frequency on the x-axis (Hz), by representing the signal as a combination of sine and cosine waves, with different amplitudes and frequencies. The approach uses Fourier transforms. The heart rate spectrum contains a high frequency (0.15-0.4 Hz) component, which is synchronous with respiration and a low frequency (0.04 to 0.15 Hz) component that appears to be mediated by both the vagus and cardiac sympathetic nerves. | Within the same experimental session |
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