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Evaluation of New Diagnostic and Treatment Algorithm for Obstructive Sleep Apnea

Primary Purpose

Sleep Apnea

Status
Completed
Phase
Not Applicable
Locations
China
Study Type
Interventional
Intervention
home sleep study
home CPAP titration (Autoset)
CPAP
Sponsored by
Chinese University of Hong Kong
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional health services research trial for Sleep Apnea focused on measuring Health utility, Home sleep study

Eligibility Criteria

18 Years - 65 Years (Adult, Older Adult)All SexesDoes not accept healthy volunteers

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.

Sites / Locations

  • The Chinese University of Hong Kong

Arms of the Study

Arm 1

Arm 2

Arm 3

Arm Type

Active Comparator

Experimental

Other

Arm Label

3

1

2

Arm Description

usual practice

Outcomes

Primary Outcome Measures

Validity of the new home sleep study device compare with conventional inpatient sleep study

Secondary Outcome Measures

The relative efficacy between different algorithm
Failure rates in different algorithms which need to switch to the conventional algorithm

Full Information

First Posted
January 22, 2007
Last Updated
July 9, 2009
Sponsor
Chinese University of Hong Kong
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1. Study Identification

Unique Protocol Identification Number
NCT00425659
Brief Title
Evaluation of New Diagnostic and Treatment Algorithm for Obstructive Sleep Apnea
Official Title
Evaluation of New Diagnostic and Treatment Algorithm for Obstructive Sleep Apnea in High Risk Population in Hong Kong
Study Type
Interventional

2. Study Status

Record Verification Date
July 2009
Overall Recruitment Status
Completed
Study Start Date
January 2007 (undefined)
Primary Completion Date
March 2009 (Actual)
Study Completion Date
June 2009 (Actual)

3. Sponsor/Collaborators

Name of the Sponsor
Chinese University of Hong Kong

4. Oversight

Data Monitoring Committee
No

5. Study Description

Brief Summary
Newer home sleep study device and algorithm provides an alternative for inpatient sleep study and improve the service provides to patients
Detailed Description
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.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Sleep Apnea
Keywords
Health utility, Home sleep study

7. Study Design

Primary Purpose
Health Services Research
Study Phase
Not Applicable
Interventional Study Model
Parallel Assignment
Masking
None (Open Label)
Allocation
Randomized
Enrollment
150 (Anticipated)

8. Arms, Groups, and Interventions

Arm Title
3
Arm Type
Active Comparator
Arm Title
1
Arm Type
Experimental
Arm Title
2
Arm Type
Other
Arm Description
usual practice
Intervention Type
Device
Intervention Name(s)
home sleep study
Other Intervention Name(s)
different algorithm arrangement
Intervention Description
different in algorithm arrangement for diagnosing sleep apnea
Intervention Type
Device
Intervention Name(s)
home CPAP titration (Autoset)
Other Intervention Name(s)
Autoset
Intervention Description
continuous positive airway pressure device for treatment of sleep apnea
Intervention Type
Device
Intervention Name(s)
CPAP
Intervention Description
usual practice
Primary Outcome Measure Information:
Title
Validity of the new home sleep study device compare with conventional inpatient sleep study
Time Frame
1 year
Secondary Outcome Measure Information:
Title
The relative efficacy between different algorithm
Time Frame
1 year
Title
Failure rates in different algorithms which need to switch to the conventional algorithm
Time Frame
1 year

10. Eligibility

Sex
All
Minimum Age & Unit of Time
18 Years
Maximum Age & Unit of Time
65 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
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.
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Kin W To, MBChB
Organizational Affiliation
Chinese University of Hong Kong
Official's Role
Principal Investigator
Facility Information:
Facility Name
The Chinese University of Hong Kong
City
Hong Kong
Country
China

12. IPD Sharing Statement

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Evaluation of New Diagnostic and Treatment Algorithm for Obstructive Sleep Apnea

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