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Related Concept Videos

Sleep Apnea01:21

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Sleep apnea is a condition where breathing stops intermittently during sleep, often leading to significant health issues. Each episode can last from 10 to 20 seconds or more and is frequently accompanied by a brief arousal from sleep. This disturbance, largely unnoticed by the individual, can lead to severe daytime fatigue. Commonly, individuals seek help after being informed by their partners about loud snoring and noticeable breathing pauses during sleep.
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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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Dentistry-based approaches to sleep-disordered breathing, algorithms, and multidisciplinary perspectives.

Michael S Simmons1, Roy Artal, Miguel A Burch

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Summary

Many Americans suffer from sleep disorders, but few are diagnosed. Dentists can screen for sleep-disordered breathing (SDB) and utilize proposed algorithms to guide patient care, improving diagnosis rates.

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Area of Science:

  • Dental Medicine
  • Sleep Medicine
  • Public Health

Background:

  • Sleep disorders impact over 20% of the US population, yet medical diagnosis remains low.
  • Sleep-disordered breathing (SDB) is prevalent but often undiagnosed.
  • Dentists are uniquely positioned to identify patients with SDB.

Purpose of the Study:

  • To enhance dentists' understanding of sleep-related issues.
  • To foster interdisciplinary communication between dentistry and medicine.
  • To provide dentists with tools for identifying and managing SDB.

Main Methods:

  • Review of perspectives from various medical specialties.
  • Development of screening algorithms for dentists.
  • Proposal of communication pathways between dentists and medical professionals.

Main Results:

  • Dentists can play a crucial role in identifying SDB.
  • Interdisciplinary collaboration can improve patient outcomes.
  • Screening algorithms can guide dental professionals in managing SDB.

Conclusions:

  • Increased dentist awareness and engagement can significantly improve SDB diagnosis rates.
  • Proposed algorithms offer practical guidance for dental practitioners.
  • Enhanced communication bridges gaps in sleep disorder diagnosis and treatment.