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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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Insufficient Sleep and Sleep Deprivation01:13

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A Screening Algorithm for Obstructive Sleep Apnea in Pregnancy.

Bilgay Izci-Balserak1, Bingqian Zhu1,2, Indira Gurubhagavatula3,4

  • 1Department of Biobehavioral Health Sciences, College of Nursing, University of Illinois at Chicago, Chicago, Illinois.

Annals of the American Thoracic Society
|June 5, 2019
PubMed
Summary
This summary is machine-generated.

A new screening tool accurately predicts obstructive sleep apnea (OSA) in pregnant women using body mass index, age, and tongue size. This simple method aids early detection for improved maternal and fetal well-being.

Keywords:
OSApredictionscreeningsensitivityspecificity

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Area of Science:

  • Obstetrics and Gynecology
  • Sleep Medicine
  • Cardiology

Background:

  • Obstructive sleep apnea (OSA) is prevalent during pregnancy, posing risks to both mother and fetus.
  • Early identification of OSA is crucial for mitigating adverse maternal-fetal outcomes.
  • Current screening methods often rely on subjective patient-reported symptoms, potentially limiting accuracy.

Purpose of the Study:

  • To develop and validate a novel screening tool for predicting OSA in pregnant women.
  • The tool integrates subjective and objective measures for enhanced predictive accuracy.
  • To assess the tool's efficacy in both the first and third trimesters of pregnancy.

Main Methods:

  • Secondary analysis of a cohort study involving 121 women in the first trimester and 87 in the third.
  • Participants underwent polysomnography and completed the Multivariable Apnea Prediction Questionnaire.
  • Logistic regression and Area Under the Curve (AUC) analyses were employed to develop and evaluate predictive models.

Main Results:

  • The prevalence of OSA was 10.7% in the first trimester and 24.1% in the third trimester.
  • A predictive model incorporating body mass index, age, and tongue enlargement demonstrated high accuracy (AUC 0.86-0.87).
  • The model showed high sensitivity and specificity, with low negative posttest probabilities, indicating reliable screening.

Conclusions:

  • A simple screening model using body mass index, age, and tongue enlargement effectively identifies pregnant women at risk for OSA.
  • This tool offers accurate and rapid OSA screening, particularly beneficial for African-American women.
  • The model's ease of use and independence from patient symptom awareness make it suitable for routine clinical practice.