Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT03176732 |
Other study ID # |
823172 |
Secondary ID |
P01HL094307-06A1 |
Status |
Completed |
Phase |
|
First received |
|
Last updated |
|
Start date |
June 6, 2017 |
Est. completion date |
June 30, 2022 |
Study information
Verified date |
April 2023 |
Source |
University of Pennsylvania |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
Hypertension is a common consequence of obstructive sleep apnea (OSA). However, not all
individuals with OSA have hypertension and there are major individual differences in blood
pressure response to positive airway pressure treatment of OSA. This project is focused on
determining the basis of these individual differences in blood pressure response to OSA and
will evaluate the possible underlying reasons for these differences. The results will help
clinicians to know whether or not to expect a reduction in blood pressure (BP) to OSA
treatment in a given patient and thereby personalize patient management.
Description:
We seek to assess the clinical determinants and molecular/genetic mechanisms underlying known
individual differences in BP response to obstructive sleep apnea (OSA). This will result in a
more personalized approach to BP management of OSA patients. Hypertension is a common
consequence of OSA. Animal studies with cyclical intermittent hypoxia indicate that oxidative
stress is likely the major mechanism, but cardiovascular response to arousals may also play a
role. However, not all individuals with OSA have hypertension. Moreover, recent meta-analyses
of treatment trials of OSA show major individual differences in BP response. The largest drop
in BP with positive airway pressure (PAP) therapy for OSA is in patients with resistant
hypertension taking three or more BP medications. This project is focused on determining the
basis of these individual differences in BP response to OSA and PAP treatment. For Aim 1, we
will assemble four groups of OSA subjects with: 1) no hypertension; 2) controlled
hypertension on medications and/or lifestyle modifications; 3) uncontrolled hyper-tension
despite one or two anti-hypertensive medications; and 4) resistant hypertension. We will
assess reductions in BP with PAP therapy with mean nocturnal (sleep) arterial BP being the
primary end-point. The prediction is that group 4 will show the largest fall in BP, even
after controlling for relevant covariates, group 3 the next biggest fall, while groups 1 and
2 will show minimal BP changes. Both intent to treat and per protocol analyses, i.e.,
analyzing only those subjects who had PAP adherence of ≥ 4 hours/day and are adherent to
medication, will be conducted. All subjects will have the following measured before and after
4 months of therapy: urinary isoprostanes and plasma levels of norepinephrine, renin
activity, aldosterone, oxidized LDL, endothelin-1, and inflammatory biomarkers. In Aim 2, we
hypothesize that those individuals with higher BP at baseline and the greatest BP response to
PAP therapy will have higher levels of urinary isoprostanes and plasma norepinephrine at
baseline and greater falls with therapy. Animal studies show that the key enzyme mediating
oxidative stress in OSA is nicotinamide adenine dinucleotide phosphate-oxidase (NADPH)
oxidase (NOX), in particular NOX2. Thus, NADPH oxidase activity will also be assessed.
Individuals with the largest falls in BP on PAP therapy are hypothesized to have the highest
activity of this enzyme at baseline. There are known genetic variants of this enzyme that
affect its structure/activity. Thus, individual differences could be the result of genetic
variants. To address this, we will employ in-depth sequencing and evaluate variants in 7 key
genes regulating NOX2 structure/activity. Gene variants identified will be related to BP
responses and to NADPH oxidase activity. In Aim 3, the role of arousals in the BP response to
OSA will be assessed using a novel measurement of heart rate response to arousal. We
hypothesize that the heart rate response to arousal will be related to the BP and molecular
outcomes of Aims 1 and 2. Finally, given the complex relationship between OSA and BP, Aim 4
will utilize structural equation modeling to assess the relative impact of the various
biological pathways.