Sleep Apnea, Obstructive Clinical Trial
Official title:
Predictive Factors Determining Continuous Positive Airway Pressure (CPAP) Compliance in Obstructive Sleep Apnea
This study aims to determine the average compliance of a patient under CPAP therapy for obstructive sleep apnea as well as the various factors that influence it.
Obstructive Sleep Apnea (OSA) is a frequent disease that affects 4% of the male population
and 2% of the female population, with well known repercussions on the quality of life
(daytime drowsiness, concentration issues, increased motor vehicle accidents, etc) and
cardiovascular risk (increased risk of strokes, hypertension, diabetes, CAD, etc.). It is
caused by an intermittent relaxation of the throat muscles during sleep, thus blocking the
airways and leading to snoring and apnea.
Treatment can involve diets and sports, sleep hygiene techniques, mandibular advancement
devices. But the CPAP (continuous positive airway pressure) device remains the first line
therapy for OSA. It is very effective at reducing apnea-hypopnea (AHI) and oxygen
desaturation indexes (ODI), but poor compliance is often noticed, with only 46% of patients
still using the device at 6 months.
Despite numerous studies on the subject, very few have included a large number of
patients(>150) or long follow up time (>1 year), or reached conclusive evidence concerning
the factors that influence CPAP compliance.
In order to determine these factors, the investigators have taken into account approximately
450 patients over a timeframe of 5 years who have used a CPAP device during the course of
their disorder, and established a Kaplan-Meyer estimation of their survival function. The
investigators have then used anthropometry (BMI, neck circumference, sex, age, etc.),
polysomnography (Epworth score, AHI, ODI, sleep efficiency, etc.) and CPAP (pressures,
leaks, etc.) data with a Cox regression in order to determine the factors that influence the
compliance of a patient.
The results will allow us to establish the average compliance of a patient under CPAP
therapy, as well as the reasons leading to its termination, the factors predicting a
decreased compliance and the consequences of stopping the treatment. This will allow us to
set up multiple methods of improved follow-up in patients that are predicted recalcitrant to
CPAP therapy.
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Observational Model: Cohort, Time Perspective: Retrospective
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