Effect of CPAP on Blood Pressure in Excessively Sleepy Obstructive Sleep Apnea Subtype

Last updated: July 15, 2024
Sponsor: Ohio State University
Overall Status: Active - Recruiting

Phase

N/A

Condition

Sleep Apnea Syndromes

Treatment

CPAP therapy

Clinical Study ID

NCT05742360
2022H0323
  • Ages 18-75
  • All Genders

Study Summary

The primary objective of this study is to determine the longer-term (6 months) effect of CPAP therapy on change in 24-hour mean blood pressure (24hMBP) in OSA subjects with the excessively sleepy symptom subtype.

Eligibility Criteria

Inclusion

Inclusion Criteria:

  • Age 18-75 years

  • Moderate-severe OSA (defined as ODI ≥10 events/hour) via Polysomnography (PSG) orHome Sleep Apnea Study (HSAT) done based on clinical grounds

  • Excessively sleepy subtype determined by patient-reported symptoms

  • Willing to accept CPAP therapy

  • An elevated baseline office BP defined as ≥120 or ≥80 mmHg

  • Planned PAP (CPAP or bi-level PAP) treatment by treating provider

Exclusion

Exclusion Criteria:

  • Recent changes (within 3 months) to BP medications among those who are on thesemedications

  • Unable to apply ABPM cuff

  • Current use of CPAP or other OSA treatments

  • Resting, awake SaO2 <90% or use of home oxygen therapy

  • New York Heart Association (NYHA) categories III-IV of heart failure

  • Presence of Cheyne-Stokes Respiration (CSR) in sleep study identified by typicalcrescendo-decrescendo pattern of respiration with associated apneas and/or hypopneasin the absence of inspiratory flow limitation

  • Predominantly central sleep apnea (AHI≥15 events/hour, with >50% central events [apnea or hypopnea])

  • Life expectancy <2 years

  • Pregnancy

  • Clinical history of chronic kidney disease (Stage 5) requiring dialysis, or renaltransplant

  • Systolic BP > 180 mmHg

Study Design

Total Participants: 227
Treatment Group(s): 1
Primary Treatment: CPAP therapy
Phase:
Study Start date:
February 07, 2023
Estimated Completion Date:
March 01, 2028

Study Description

This is a prospective, non-randomized, observational, two-center study involving newly diagnosed subjects with moderate-severe OSA with the excessively sleepy symptom subtype.

Variables of Interest: Change in 24-hour ambulatory BP, change in sitting BP, change in reaction time by psychomotor vigilance test (PVT)

Participants will complete questionnaires that pertain to demographics, lifestyle factors, and co-morbidities. The blood samples will be used to determine levels of BP medications and serum creatinine. Measurements will be collected at baseline and at 6-month follow-up visits.

Data Analysis Approach: To correct for potential bias in the non-randomized comparison, the investigators 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, including age, sex, obesity (BMI, neck circumference, waist-to-hip ratio), current smoking, history of hypertension, 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.

Connect with a study center

  • The Ohio State University - Martha Morehouse Medical Pavilion, Suite 2600

    Columbus, Ohio 43221
    United States

    Active - Recruiting

  • University of Pennsylvania

    Philadelphia, Pennsylvania 19104
    United States

    Active - Recruiting

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