A Multivariable Model Predictive of Unplanned Postoperative Intubation in Infant Surgical Patients

Lisa D Eisler1, May Hua1,2, Guohua Li1,2

  • 1From the Department of Anesthesiology, Columbia University Medical Center, New York, New York.

Anesthesia and Analgesia
|November 20, 2019
PubMed

Insights

Unplanned postoperative intubation affects about 1 in 50 infants after major surgery. A new scoring system accurately predicts this risk using routine data, aiding in better patient care.

Area of Science:

  • Pediatric Surgery
  • Anesthesiology
  • Healthcare Quality Improvement

Background:

  • Unplanned postoperative intubation is a critical quality indicator in pediatric surgery, linked to increased mortality.
  • Infants are at higher risk compared to older children, yet data on this specific population is limited.
  • Identifying risk factors and developing predictive tools for infants is crucial for improving surgical outcomes.

Purpose of the Study:

  • To identify risk factors for unplanned postoperative intubation in infants undergoing major noncardiac surgery.
  • To develop and validate a scoring system to predict the risk of this complication.

Main Methods:

  • Retrospective cohort study using the National Surgical Quality Improvement Program-Pediatric database (2012-2016).
  • Analysis of demographic and perioperative factors associated with unplanned intubation within 30 days of surgery.
  • Development of a risk score using multivariable logistic regression and validation of its predictive performance.

Main Results:

  • The incidence of unplanned postoperative intubation was 2.2% in the derivation cohort.
  • Ten risk factors, including age, prematurity, ASA status, operative time, and comorbidities, were identified.
  • The developed scoring system demonstrated good predictive accuracy with an area under the receiver operating characteristic curve of 0.86 (derivation) and 0.83 (validation).

Conclusions:

  • Approximately 2% of infants undergoing major surgery experience unplanned postoperative intubation.
  • A novel scoring system utilizing routine perioperative data accurately predicts this risk in infants.
  • The scoring system holds potential for risk stratification and enhancing perioperative care quality in pediatric surgery.
Abstract

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