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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
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Precision Medicine for Obstructive Sleep Apnea
Matthew Light1, Robert L Owens1, Christopher N Schmickl1
1Division of Pulmonary, Critical Care and Sleep Medicine, University of California San Diego, 9300 Campus Point Drive #7381, La Jolla, CA 92037-7381, USA.
Sleep Medicine Clinics
|August 4, 2019
Summary
Precision medicine is revolutionizing obstructive sleep apnea (OSA) treatment by identifying distinct patient endotypes. Understanding these subtypes improves therapy adherence and predicts health outcomes, paving the way for personalized sleep science insights.
Area of Science:
- Sleep Medicine
- Precision Medicine
- Respiratory Physiology
Background:
- Obstructive sleep apnea (OSA) is increasingly viewed through the lens of precision medicine.
- Beyond anatomical factors, distinct pathophysiologic mechanisms (endotypes) of OSA are being identified.
- These endotypes can be assessed during polysomnography.
Purpose of the Study:
- To highlight the potential of a precision medicine approach in obstructive sleep apnea treatment.
- To emphasize the role of endotypes in predicting treatment adherence and disease phenotypes.
- To discuss emerging research in biomarker discovery and big data for sleep science.
Main Methods:
- Identification of distinct pathophysiologic mechanisms (endotypes) in obstructive sleep apnea.
- Assessment of endotypes using polysomnography.
- Review of research on endotype-specific therapies, adherence, and disease consequences (phenotypes).
Main Results:
- Endotypes beyond simple airway anatomy are identifiable in OSA patients.
- Endotypes show potential for predicting adherence to treatment.
- Endotypes may also predict OSA-related health consequences (phenotypes).
Conclusions:
- A precision medicine approach, informed by endotype identification, is crucial for optimizing OSA treatment.
- Further research, including randomized controlled trials of endotype-specific therapies, is needed.
- Biomarker discovery and big data analytics, including wearable technology, will enhance understanding and personalized care in sleep science.
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