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Drug-Induced Sleep Endoscopy (DISE) with Target Controlled Infusion (TCI) and Bispectral Analysis in Obstructive Sleep Apnea

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Database application for patients with obstructive sleep apnoea syndrome.

D Passali¹, G Caruso, L C Arigliano

¹ENT Department, Università di Siena, via Anagnina 718, 00118 Rome, Italy. desiderio.passali@passali.org

Acta Otorhinolaryngologica Italica : Organo Ufficiale Della Societa Italiana Di Otorinolaringologia E Chirurgia Cervico-Facciale

|October 25, 2012

Summary

Obstructive sleep apnoea syndrome (OSAS) is a condition of upper airway collapse during sleep. A new database aims to standardize clinical assessment and analyze treatment outcomes for OSAS patients across multiple centers.

Keywords:

Database OSA OSAS Software Statistics

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Area of Science:

Sleep Medicine
Otolaryngology
Respiratory Medicine

Background:

Obstructive sleep apnoea syndrome (OSAS) is a prevalent condition characterized by upper airway collapse during sleep.
OSAS is increasingly recognized as a significant comorbidity associated with various systemic diseases.
Effective management requires standardized assessment and outcome evaluation.

Purpose of the Study:

To introduce a novel database designed for patients diagnosed with OSAS.
To promote uniformity in the clinical evaluation of OSAS patients.
To facilitate the analysis of treatment efficacy (medical and surgical) and enable multi-center statistical meta-analysis.

Main Methods:

Development of a standardized database for OSAS patient data collection.
Implementation of a user-friendly application accessible to non-ENT specialists.
Systematic collection of clinical assessment data and treatment outcomes.

Main Results:

The database facilitates consistent clinical assessment across different medical centers.
It allows for the evaluation of diverse medical and surgical interventions for OSAS.
The collected data supports robust statistical meta-analysis for improved understanding of OSAS.

Conclusions:

The developed OSAS database enhances clinical assessment uniformity.
It provides a platform for evaluating treatment effectiveness and supports multi-center research.
This resource is valuable for both specialists and non-specialists in managing OSAS.