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Discriminating between positional and non-positional obstructive sleep apnea using some clinical characteristics.

Abderrahim Oulhaj1, Sharina Al Dhaheri2, Brenda Bin Su3

  • 1Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates.

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Summary

Positional Obstructive Sleep Apnea (POSA) affects half of patients. Key factors like age, BMI, and Berlin scores help distinguish POSA from non-POSA, aiding clinical assessment.

Keywords:
Apnea-hypopnea indexObstructive sleep apneaPositional or non-positional OSA

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Area of Science:

  • Sleep Medicine
  • Respiratory Medicine
  • Clinical Diagnostics

Background:

  • Obstructive Sleep Apnea (OSA) is a common sleep disorder.
  • Positional Obstructive Sleep Apnea (POSA) is a subtype influenced by sleeping position.
  • Accurate identification of POSA is crucial for effective treatment.

Purpose of the Study:

  • To identify significant factors associated with POSA.
  • To develop a clinical tool for differentiating POSA from non-POSA.
  • To estimate POSA prevalence and compare polysomnographic variables.

Main Methods:

  • Cross-sectional study of 278 OSA patients undergoing sleep studies.
  • POSA defined by apnea/hypopnea index (AHI) and supine AHI/non-supine AHI ratio.
  • Binary logistic regression and LASSO methods used for analysis.

Main Results:

  • 53% of patients exhibited POSA.
  • POSA patients were younger with lower BMI and hypertension prevalence.
  • Age, BMI, DBP, Mallampati, and Berlin scores were key discriminators (AUC 0.71).

Conclusions:

  • Approximately half of patients referred for sleep studies have POSA.
  • A combination of age, BMI, DBP, Mallampati, and Berlin scores effectively differentiates POSA.
  • These factors can aid in the clinical assessment and diagnosis of POSA.