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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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Personalized Medicine and Obstructive Sleep Apnea.
Sy Duong-Quy1,2,3,4, Hoang Nguyen-Huu5, Dinh Hoang-Chau-Bao3
1Sleep Lab Centre, Lam Dong Medical College, Dalat City 0263, Vietnam.
Journal of Personalized Medicine
|December 23, 2022
Summary
Personalized medicine is crucial for diagnosing and treating obstructive sleep apnea (OSA). Tailoring treatments beyond the apnea-hypopnea index improves outcomes for diverse patient needs.
Area of Science:
- Sleep Medicine
- Pulmonology
- Cardiology
Background:
- Obstructive sleep apnea (OSA) is prevalent but often underdiagnosed and undertreated.
- Variations in patient morphology, phenotypes, and age-specific differences complicate OSA management.
- A personalized medicine approach is essential for effective clinical practice.
Purpose of the Study:
- To review current concepts and approaches for personalized management of obstructive sleep apnea.
- To highlight the need for individualized diagnosis and treatment strategies.
- To discuss tailoring OSA therapy based on specific patient factors.
Main Methods:
- This narrative review synthesizes current literature on OSA management.
- It examines personalized approaches considering pathophysiology and clinical characteristics.
- The review evaluates treatment options based on patient tolerance and comorbidities.
Main Results:
- Home sleep apnea testing may be more suitable than polysomnography for some patients.
- Treatment decisions should integrate microarousal index, hypoxia effects, and comorbidities, not solely the apnea-hypopnea index.
- Continuous positive airway pressure (CPAP) is a cornerstone but not universally tolerated or affordable.
Conclusions:
- Personalized OSA management requires considering individual pathophysiology, clinical clusters, and patient expectations.
- Combined therapies and alternative treatments should be explored beyond standard CPAP.
- Tailored strategies are necessary to optimize outcomes for diverse OSA patient populations.
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