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Drug-Induced Sleep Endoscopy (DISE) with Target Controlled Infusion (TCI) and Bispectral Analysis in Obstructive Sleep Apnea
Published on: December 6, 2016
Defining common outcome metrics used in obstructive sleep apnea
Baha A Al-Shawwa1, Arunkumar N Badi, Andrew N Goldberg
1Department of Otolaryngology and Communication Sciences, Division of Sleep Medicine, Medical College of Wisconsin, 9200 West Wisconsin Avenue, Milwaukee, WI 53226, USA.
Sleep Medicine Reviews
|November 18, 2008
Summary
Sleep-disordered breathing, including obstructive sleep apnea (OSA), impacts health outcomes. Current metrics partially explain these effects, necessitating a review of clinical, physiological, and biomarker assessments for better management.
Area of Science:
- Sleep Medicine
- Cardiovascular Health
- Respiratory Physiology
Background:
- Sleep-disordered breathing (SDB) encompasses a range of conditions from snoring to obstructive sleep apnea (OSA).
- OSA significantly affects numerous clinical disease outcomes, particularly cardiovascular health.
- Traditional assessment relies on polysomnography and the apnea-hypopnea index (AHI), but these metrics have limitations.
Purpose of the Study:
- To review current clinical, physiological, and biomarker metrics used to assess OSA severity and impact.
- To explore how these metrics explain associated comorbidities.
- To define improved treatment goals for OSA.
Main Methods:
- Literature review of clinical studies and physiological assessments.
- Analysis of biomarker data related to OSA and comorbidities.
- Synthesis of existing metrics and their explanatory power for disease outcomes.
Main Results:
- Current metrics, including AHI, partially explain OSA-related disease outcomes.
- A comprehensive assessment requires evaluating sleepiness, quality of life, performance, and cardiovascular health.
- Biomarkers and physiological measures offer additional insights into OSA's impact.
Conclusions:
- Existing metrics for OSA are insufficient to fully explain patient outcomes and comorbidities.
- A multi-faceted approach combining clinical, physiological, and biomarker data is needed for accurate OSA assessment.
- Defining clear treatment goals is crucial for managing OSA and its associated health risks.
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