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Updated: Jan 19, 2026

Drug-Induced Sleep Endoscopy DISE with Target Controlled Infusion TCI and Bispectral Analysis in Obstructive Sleep Apnea
Published on: December 6, 2016
Obstructive sleep apnea: in search of precision
Manuel Sânchez-de-la-Torre1,2, David Gozal3
1Hospital Universitari Arnau de Vilanova and Santa Maria. Group of Translational Research in Respiratory Medicine, IRBLleida, Lleida, Spain.
Obstructive sleep apnea (OSA) affects 10% of middle-aged adults, causing significant health issues and costs. Personalized medicine, including phenotyping and telemedicine, offers improved diagnosis and treatment strategies for OSA patients.
Area of Science:
- Sleep Medicine
- Internal Medicine
- Personalized Medicine
Background:
- Obstructive sleep apnea (OSA) is a widespread condition affecting 10% of middle-aged adults.
- OSA is linked to reduced quality of life, cognitive deficits, mood disorders, and increased cardiovascular and metabolic risks.
- The condition significantly elevates healthcare expenditures.
Purpose of the Study:
- To review current evidence on OSA pathophysiology, consequences, and phenotypic variations.
- To evaluate current therapeutic applications and their effectiveness in OSA management.
- To explore personalized medicine approaches for OSA diagnosis, treatment, and follow-up.
Main Methods:
- Comprehensive literature review of existing evidence on obstructive sleep apnea.
- Analysis of pathophysiology, clinical consequences, and phenotypic heterogeneity.
- Evaluation of diagnostic, therapeutic, and follow-up strategies within personalized medicine frameworks.
Main Results:
- Personalized medicine in OSA involves patient phenotyping for targeted therapeutic strategies.
- Further characterization of OSA's impact on mortality, aging-related diseases (cardiovascular, cancer, neurocognitive), and treatment effects is crucial.
- Emerging technologies like telemedicine show potential for implementing personalized OSA care.
Conclusions:
- Personalized medicine approaches are essential for optimizing obstructive sleep apnea management.
- Phenotyping patients and leveraging new technologies can improve prognostic accuracy and guide treatment decisions.
- Tailored strategies are needed to mitigate the long-term health consequences of OSA.
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