Tonsil Size and Mallampati Score as Clinical Predictive Factors for Obstructive Sleep Apnea Severity in Children

Maen Zreaqat1, Rozita Hassan2, A R Samsudin3

  • 1Orthodontic Department, School of Dental Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.

Insights

Body mass index (BMI), tonsil size, and Mallampati score can indicate pediatric obstructive sleep apnea (OSA). Only the Mallampati score predicts OSA severity, making it a valuable clinical screening tool.

Area of Science:

  • Pediatric Sleep Medicine
  • Otolaryngology
  • Clinical Diagnostics

Background:

  • Pediatric obstructive sleep apnea (OSA) is a growing concern.
  • Accurate diagnosis of pediatric OSA is crucial for timely intervention.
  • Predictive clinical indicators can aid in screening and diagnosis.

Purpose of the Study:

  • To evaluate the clinical utility of BMI, tonsil size, and Mallampati scoring in predicting pediatric OSA presence and severity.
  • To assess the correlation between these clinical indicators and OSA severity.

Main Methods:

  • Prospective cross-sectional study of 78 children with polysomnography (PSG)-proven OSA and 86 controls (age 11-14).
  • Measurements included BMI, tonsil size (Friedman scale), and Mallampati score.
  • Statistical analysis involved t-tests and regression analysis.

Main Results:

  • Male gender, BMI, tonsil size, and Mallampati score were significantly higher in children with OSA (p < 0.05).
  • Mallampati score significantly correlated with OSA severity (p < 0.01).
  • Each 1-point increase in Mallampati score correlated with a 3-5 event/hour increase in apnea-hypopnea index (AHI).

Conclusions:

  • Male gender, elevated BMI, large tonsils, and high Mallampati scores are indicators for pediatric OSA presence.
  • The Mallampati score is the only significant predictor of OSA severity among the assessed indicators.
  • Clinical indicators like the Mallampati score are valuable for screening children at risk for OSA, especially in community settings where PSG is less accessible.
Abstract

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