Evaluation of New Diagnostic and Treatment Algorithm for Obstructive Sleep Apnea

Evaluation of New Diagnostic and Treatment Algorithm for Obstructive Sleep Apnea in High Risk Population in Hong Kong

Newer home sleep study device and algorithm provides an alternative for inpatient sleep study and improve the service provides to patients

Purpose: Assess different potential algorithms to improve the service and cost utility for diagnosis and treatment of obstructive sleep apnea syndrome (OSAS) in patients with high pretest probability in Hong Kong.

Hypothesis: Newer home sleep study device and algorithm provides an alternative for inpatient sleep study Design: Prospective randomized study Subject: High pretest probability of OSAS patients referred to a tertiary centre.

Study instruments: a portable sleep study device, AutoCPAP and inpatient sleep monitoring system.

Interventions: comparison between 3 different algorithms of health service for OSA patients would be made: conventional in-patient sleep study, empirical treatment and home sleep study.

Main outcome measures: The primary outcome is the validity of the home sleep study device compare to inpatient sleep study. The secondary outcomes are the relative efficacy of different algorithms and the numbers of failed procedures in each algorithm.

Inclusion Criteria:

• Adult patients with high pretest probability of OSAS, i.e. ESS > 10 or symptomatic patients, with BMI > 23 and/or cranial facial features associated with OSA, as assessed by the attending respiratory physician in the respiratory clinic.
• Patients aged between 18-65 years who agree to participate in the study.

Exclusion Criteria:

• Pregnant women
• Patients who refuse signing consent of the study
• Do not have high pretest probability of OSAS
• Refuse to have home sleep study
• Refuse any treatment offered; or
• Could not comply with the set up of home study.