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| Name | Class |
|---|---|
| The Ottawa Hospital Academic Medical Association | OTHER |
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The investigators will perform a diagnostic accuracy study comparing tracheal breath sound recordings in awake individuals to the STOP-Bang screening questionnaire, using the apnea-hypopnea index (AHI) score determined by polysomnography as the gold standard.
Obstructive sleep apnea (OSA) is a breathing disorder with numerous health effects including a greater risk of peri-operative anesthetic complications. Numerous screening tools exist but are not without limitations. Diagnostic overnight sleep studies are resource-intensive and difficult to obtain in the short time period between pre-operative clinic assessment and the day of surgery.
This project aims to test the diagnostic performance of a new screening technology, Awake-OSA, for screening of obstructive sleep apnea (OSA). "Awake-OSA" uses a small external microphone placed on the neck, to record and analyze tracheal breath sounds at the bedside while the patient is awake.
Using polysomnography (PSG) as a gold standard, the investigators will compare Awake-OSA (breath sound recording) and the STOP-Bang screening questionnaire in their ability to accurately identify patients with OSA, as well as classify OSA in terms of severity.
Early, point-of-care diagnosis has the potential to provide a low-cost, convenient alternative to traditional screening questionnaires and enable more selective use of PSG. Our goal is to improve peri-operative patient safety while improving use of resources and streamlining patient care.
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| Measure | Description | Time Frame |
|---|---|---|
| Screening and diagnostic test performance of Awake-OSA and STOP-Bang | Screening and diagnostic test performance of Awake-OSA and STOPBang in identifying OSA vs non-OSA patients, using AHI as gold-standard reference. | Night 1 |
| Measure | Description | Time Frame |
|---|---|---|
| Development of new diagnostic algorithm determined by predictive values, sensibility, and specificity | The investigators will calculate positive and negative predictive values, sensibility, and specificity or each diagnostic tool tested in the study as well as for a combination of these tools to determine the best possible diagnostic algorithm for OSA. Positive and negative predictive values, sensibility, and specificity of the resulting diagnostic algorithm will be reported. |
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Inclusion Criteria:
Exclusion Criteria:
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Cohort will be selected from patients referred to the Ottawa Hospital sleep clinic for a diagnostic sleep study.
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| Name | Affiliation | Role |
|---|---|---|
| Sylvain Boet, MD | The Ottawa Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| The Ottawa Hospital | Ottawa | Ontario | Canada |
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| Type | Date | Date Unknown |
|---|---|---|
| Release | Sep 28, 2022 | |
| Reset | Aug 24, 2023 |
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| Release Date | Unrelease Date | Unrelease Date Unknown | Reset Date | MCP Release Number |
|---|---|---|---|---|
| Sep 28, 2022 | Aug 24, 2023 |
| ID | Term |
|---|---|
| D020181 | Sleep Apnea, Obstructive |
| ID | Term |
|---|---|
| D012891 | Sleep Apnea Syndromes |
| D001049 | Apnea |
| D012120 | Respiration Disorders |
| D012140 | Respiratory Tract Diseases |
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| Through study completion, average two years |
| D020919 |
| Sleep Disorders, Intrinsic |
| D020920 | Dyssomnias |
| D012893 | Sleep Wake Disorders |
| D009422 | Nervous System Diseases |