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Risk Factors for Postoperative Respiratory Events After Pediatric Microlaryngoscopy and Bronchoscopy.
Jennifer M Siu1, Samantha Goh1, Justin T Levinsky2
1Department of Otolaryngology - Head and Neck Surgery, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada.
Identifying pediatric patients at high risk for respiratory events after microlaryngoscopy and bronchoscopy (MLB) is crucial. Risk factors like age 1-2 years, cardiovascular disease, and inpatient surgery help tailor postoperative care and reduce ICU utilization.
Area of Science:
- Pediatric Otolaryngology
- Pediatric Anesthesiology
- Pediatric Critical Care
Background:
- Preoperative risk stratification optimizes postoperative disposition after pediatric microlaryngoscopy and bronchoscopy (MLB).
- Identifying high-risk patients undergoing MLB can improve resource allocation and patient outcomes.
Purpose of the Study:
- To identify preoperative risk factors for postoperative respiratory events requiring escalation of care after pediatric MLB.
- To define a subpopulation of high-risk patients undergoing MLB.
Main Methods:
- Retrospective cohort study of 420 patients undergoing MLB between 2017-2023.
- Multivariate logistic regression analysis to identify independent risk factors for postoperative respiratory events.
- Primary outcome: respiratory events requiring escalation of care (e.g., oxygen escalation, ICU transfer, PEW score >5).
Main Results:
- Over half (54.5%) of patients experienced events requiring escalation of care.
- Independent risk factors identified: age 1-2 years, cardiovascular disease, GERD, ASA IV, MLB with supraglottoplasty, inpatient surgery, and operative time ≥180 minutes.
- Specific events included oxygen escalation (35.2%) and PEW score >5 (37.4%).
Conclusions:
- Preoperative risk factors such as age, comorbidities (CVD, GERD), ASA status, surgical complexity (supraglottoplasty), and operative factors predict postoperative respiratory events after MLB.
- Tailoring postoperative disposition based on identified risk factors can optimize resource use and ensure appropriate patient monitoring.
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