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Updated: Aug 5, 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: Epidemiology, Pathophysiology, Complications, Diagnosis, Management, and Emerging
Nhi Ho Thi Thuy1,2, Thị Hằng Giang Phan1,2, Ali Hussein Eid3
1Department of Biomedical Sciences University of Sassari Sassari Italy.
Obstructive sleep apnea (OSA) is a complex systemic disease, not just airway collapse. New metrics beyond the apnea-hypopnea index better capture OSA
Area of Science:
- Sleep Medicine
- Cardiology
- Pulmonology
Background:
- Obstructive sleep apnea (OSA) is a prevalent, underdiagnosed sleep disorder.
- It's increasingly viewed as a systemic disease with multifactorial origins.
- Conventional classification relies heavily on the apnea-hypopnea index (AHI).
Purpose of the Study:
- To provide an integrated overview of OSA, including its pathophysiology, consequences, and management.
- To highlight limitations of current severity classifications.
- To emphasize the role of fibrosis in OSA pathobiology and suggest future research directions.
Main Methods:
- Review of current literature on OSA epidemiology, pathophysiology, and clinical aspects.
- Integration of established knowledge with emerging fibrosis-oriented perspectives.
- Analysis of mechanistic, diagnostic, and translational priorities.
Main Results:
- OSA involves complex interactions: intermittent hypoxia, sleep fragmentation, sympathetic activation, and metabolic dysregulation.
- Physiologically enriched metrics (e.g., hypoxic burden, T90) may offer better risk assessment than AHI alone.
- Evidence suggests OSA contributes to fibrosis and structural remodeling in organs like the heart, liver, and kidneys.
Conclusions:
- OSA is a heterogeneous systemic disease requiring personalized management.
- Fibrosis-linked remodeling is a critical, under-recognized dimension of OSA.
- Future research should focus on advanced metrics and phenotype-aware stratification for improved clinical outcomes.
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