Clinical Trial Details
— Status: Recruiting
Administrative data
NCT number |
NCT04712656 |
Other study ID # |
2020H0524 |
Secondary ID |
|
Status |
Recruiting |
Phase |
|
First received |
|
Last updated |
|
Start date |
March 22, 2021 |
Est. completion date |
March 1, 2032 |
Study information
Verified date |
April 2024 |
Source |
Ohio State University |
Contact |
ALICIA GONZALEZ ZACARIAS, MD |
Phone |
614-366-2361 |
Email |
Alicia.Gonzalezzacarias[@]osumc.edu |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational [Patient Registry]
|
Clinical Trial Summary
The primary objective of this study is to determine whether the effect of continuous positive
airway pressure (CPAP) therapy on 24-hour mean blood pressure (BP) in patients with
obstructive sleep apnea (OSA) varies between symptom phenotypes.
Description:
This is a prospective, non-randomized, multi-center, cohort study involving patients with
moderate to severe OSA. This study will compare OSA patients who accept and comply with CPAP
therapy versus those who do not.
Variables of Interest: 24-hour ambulatory BP, sitting BP, electrocardiogram (ECG), facial
photographs, psychomotor vigilance test (PVT), questionnaires, and blood samples.
Patients will complete questionnaires that pertain to demographics, lifestyle factors, and
co-morbidities associated with CVD. The blood samples will be used to look for evidence of
diabetes; elevated lipids; markers of heart injury, inflammation, and coagulation; and
genetic information. Measurements will be collected at baseline and at 6-month follow-up.
In addition, patients enrolled in this study will be contacted by telephone once a year over
a ten year period. The purpose of the telephone interview is to determine if they are using
any treatment for OSA, if they have developed any new health problems such as a heart attack
or stroke, and if they have changed any of their usual medications.
Data Analysis Approach: To correct for potential bias in the non-randomized comparison, we
will apply a Propensity Score (PS) Design via subclassification. Models to derive the PS
values used in this design will include a number of covariates relevant to CPAP adherence and
cardiovascular outcomes, including age, sex, obesity (BMI, neck circumference, waist-to-hip
ratio), current smoking, prevalent CVD at baseline, history of hypertension, HbA1c, diabetes
mellitus (history, medications), lipid profile, hyperlipidemia (history, medications), family
history of premature coronary disease, Charlson comorbidity index, physical activity (IPAQ),
diet, OSA severity (AHI, ODI4, T90), sleepiness (Epworth Sleepiness Scale), educational
attainment, socioeconomic status (postcode), insomnia symptoms (Insomnia Symptom
Questionnaire), anxiety and depression-related symptoms (Patient Health Questionnaire-2),
self-efficacy (General self-efficacy scale), and medication adherence (Medication Adherence
Report Scale [MARS-5]). Baseline values of outcome measures will also be included in the PS
model. After creating the PS design, all analyses are performed accounting for PS subclass as
a categorical stratification factor. Evaluations of the CPAP effect on binary outcomes are
performed utilizing conditional logistic regression. Similarly, CPAP effects in the context
of survival analyses (e.g., Cox Proportional Hazards models) or on continuous outcomes (e.g.,
linear regression) are assessed by including PS subclass as a categorical covariate in all
models.