Compliance of Nasal Continuous Positive Airway Pressure in Patients with Obstructive Sleep Apnea Syndrome.
- Author:
Jong Bae CHOI
;
Seung Hee LEE
;
Do Un JEONG
- Publication Type:Original Article
- Keywords:
Obstructive sleep apnea syndrome;
Continuous positive airway pressure;
Compliance
- MeSH:
Compliance*;
Continuous Positive Airway Pressure*;
Humans;
Interviews as Topic;
Korea;
Polysomnography;
Seoul;
Sleep Apnea, Obstructive*
- From:Sleep Medicine and Psychophysiology
2006;13(1):27-32
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
OBJECTIVES: Nasal continuous positive airway pressure (nCPAP) is the treatment of choice and has been shown to reduce the frequency of nocturnal respiratory events, improve sleep architecture, and decrease daytime sleepiness in patients with obstructive sleep apnea syndrome (OSAS). However, little is known about the compliance of nCPAP treatment in Korea. Our objective was to look into the nCPAP compliance and examine the factors influencing it. METHODS: We reviewed the records of one hundred and twenty consecutive patients with OSAS referred for nocturnal polysomnography with nCPAP pressure titration during the period of January 1995 through April 1999 to the Seoul National University Hospital. We performed a telephone interview and obtained data from eighty-three patients. RESULTS: In sixty patients who had accepted nCPAP treatment, twenty-six patients (43.3%) were still using nCPAP device, while thirty-four patients (56.7%) stopped using it. Fifteen patients (25%) were using nCPAP device everyday. In thirty-four patients who discontinued nCPAP use, twenty-five patients (73.5%) did within the first three months, and thirty-one (91.2%) within the first year. Significant predictor of long-term nCPAP use was the presence of subjective daytime sleepiness before nCPAP application. CONCLUSIONS: Long-term compliance with nCPAP treatment appears to be associated with the presence of subjective daytime sleepiness before nCPAP application. Long-term compliance with nCPAP may be mostly predicted from the usage pattern within the first three months of use.
