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Related Concept Videos

Sleep Apnea01:21

Sleep Apnea

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.
The condition is more prevalent among...

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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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A predictive morphometric model for the obstructive sleep apnea syndrome

C A Kushida1, B Efron, C Guilleminault

  • 1Stanford University, California, USA.

Annals of Internal Medicine
|October 27, 1997
PubMed
Summary
This summary is machine-generated.

A new morphometric model accurately predicts obstructive sleep apnea syndrome (OSAS) using oral measurements, BMI, and neck circumference. This tool offers a reliable screening method for OSAS in clinical settings.

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Area of Science:

  • Sleep Medicine
  • Medical Diagnostics
  • Biometrics

Background:

  • Existing mathematical models for predicting obstructive sleep apnea syndrome (OSAS) do not account for craniofacial anatomy independent of obesity.
  • Obstructive sleep apnea syndrome (OSAS) is a condition characterized by repeated episodes of upper airway obstruction during sleep.

Purpose of the Study:

  • To evaluate the predictive accuracy of a novel morphometric model for obstructive sleep apnea syndrome (OSAS).
  • The model integrates oral cavity measurements with body mass index and neck circumference.

Main Methods:

  • A 6-month prospective study was conducted at a university-based sleep clinic.
  • 300 consecutive patients undergoing initial sleep disorder evaluations were included.
  • Data collected included body mass index, neck circumference, oral measurements, and polysomnography results.

Main Results:

  • The morphometric model demonstrated high predictive values: 97.6% sensitivity, 100% specificity, 100% positive predictive value, and 88.5% negative predictive value.
  • Intermeasurer and test-retest reliability were found to be without significant discrepancies.
  • OSAS was defined as more than five episodes of apnea or hypopnea per hour of sleep.

Conclusions:

  • The morphometric model offers a rapid, accurate, and reproducible method for predicting OSAS in ambulatory patients.
  • This model shows clinical utility as a screening tool for OSAS.
  • The morphometric model is not intended to replace polysomnography but to aid in its selective application.