The STBUR questionnaire for predicting perioperative respiratory adverse events in children at risk for

Alan R Tait1, Terri Voepel-Lewis, Robert Christensen

  • 1Department of Anesthesiology, University of Michigan Health System, Ann Arbor, MI 48109, USA. atait@umich.edu

Insights

A new tool, STBUR, identifies children with sleep-disordered breathing (SDB) symptoms who are at risk for perioperative respiratory adverse events (PRAE). This simple questionnaire aids anesthesia providers in pre-operative risk assessment for better patient safety.

Area of Science:

  • Pediatric Anesthesiology
  • Sleep Medicine
  • Respiratory Health

Background:

  • Many children with sleep-disordered breathing (SDB) are undiagnosed due to lack of formal polysomnography (PSG).
  • Undiagnosed SDB increases the risk of perioperative respiratory adverse events (PRAE) in children undergoing surgery.

Purpose of the Study:

  • To develop a practical tool for identifying children with SDB symptoms at risk for PRAE.
  • To create a screening method that is simple and clinically useful for anesthesia providers.

Main Methods:

  • Parents of 337 children completed the Sleep-Related Breathing Disorder (SRBD) questionnaire.
  • Prospective data collection on PRAE incidence and severity, including airway obstruction and laryngospasm.
  • Principal component analysis identified key predictive symptoms for the STBUR tool.

Main Results:

  • 9.5% of children had confirmed SDB via PSG; 26.7% showed SDB symptoms via the SRBD questionnaire.
  • The STBUR tool, based on Snoring, Trouble Breathing, and Un-Refreshed symptoms, predicted PRAE.
  • Presence of 3 STBUR symptoms increased PRAE likelihood threefold; all 5 symptoms increased it tenfold.

Conclusions:

  • Children with SDB symptoms undergoing surgery are at heightened risk for PRAE.
  • The STBUR questionnaire is a promising, simple tool for identifying at-risk children pre-operatively.
  • Validation studies are recommended to confirm the STBUR questionnaire's diagnostic utility.
Abstract

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