OSAHS Screening in Diverse Populations

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18-80
SponsorKang Wu

About this trial

The goal of this prospective observational study is to learn about the current prevalence of obstructive sleep apnea-hypopnea syndrome in community population, patients with specific diseases and special population from China. The main question it aims to answer is: (1) What are the prevalence and clinical characteristics of OSA in the community population, the specific disease population and the special population respectively? (2) How about the application value of each OSA screening questionnaire for different populations?Participants will all complete a screening questionnaire, and some will be selected by random sampling to complete either a polysomnography (PSG) or a portable sleep monitor (PM).

Eligibility criteria

This trial accepts healthy volunteers

Qualifiers

Sign the informed consent form before participating in the study

Complete independent behaviour and cognitive abilities

Ability to answer the questionnaire completely and accurately

Disqualifiers

Incomplete answers to the scale

Patients with severe diseases and acute infections or those requiring long-term home oxygen therapy

Patients with severe mental and psychological disorders

Patients with severe organ failure

Trial population

Target participants were recruited from multiple centers: Community population: A random number table method is used to select several communities within the designated research area. The research team then obtains a complete list of registered residents in these communities as the sampling frame. A computer-based random number generator is utilized to randomly select target residents. Patients with specific diseases: hypertension, diabetes, cardiovascular and cerebrovascular diseases, chronic obstructive pulmonary disease, asthma and other OSA related comorbidities. Special population: Including college teachers and students, doctors and nurses, and company employees.

Trial design

Design model

Ecologic or community

Time perspective

Cross-sectional

Treatments tested in this trial

  • patients with hypertension, diabetes, cardiovascular and cerebrovascular diseases, chronic obstructive pulmonary disease, asthma and other OSA related comorbidities.

    Other intervention

    In order to explore the prevalence of OSA in patients with different comorbid diseases, this study set up this observation group.

Treatment groups

100,000 Participants
are divided into 3 treatment groups
Group A: community population0 interventions
Group B: patients with specific diseases1 intervention
Group C: special population0 interventions

Trial outcomes

Primary outcomes

1

Apnea-Hypopnea Index (AHI)

Collected from polysomnography (PSG) or home sleep apnea testing (PM) for the diagnosis of obstructive sleep apnea (OSA). Unit of Measure: events/hour

Time frame
Baseline
2

Lowest Oxygen Saturation (Lowest SpO₂)

Collected from PSG or PM to evaluate nocturnal hypoxemia. Unit of Measure: %

Time frame
Baseline

Secondary outcomes

1

Diagnostic Value of the CNCQ-OSA Questionnaire

Based on the PSG/PM results as the reference standard, the diagnostic accuracy of the Obstructive Sleep Apnea Screening Questionnaire for Chinese Community (CNCQ-OSA) will be evaluated. The outcome measures include sensitivity, specificity, positive predictive value, negative predictive value, and overall accuracy rate. Unit of Measure: %

Time frame
Baseline
2

Diagnostic Value of the STOP-Bang Questionnaire

Based on the PSG/PM results as the reference standard, the diagnostic accuracy of the STOP-Bang questionnaire will be evaluated. The outcome measures include sensitivity, specificity, positive predictive value, negative predictive value, and overall accuracy rate. Unit of Measure: %

Time frame
Baseline
3

Diagnostic Value of the NoSAS Score

Based on the PSG/PM results as the reference standard, the diagnostic accuracy of the Neck circumference, Obesity, Snoring, Age, Sex (NoSAS) score will be evaluated. The outcome measures include sensitivity, specificity, positive predictive value, negative predictive value, and overall accuracy rate. Unit of Measure: %

Time frame
Baseline

Other outcomes

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

Kang Wu

Lead sponsor

Guangzhou Institute of Respiratory Disease

Sponsor institution