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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.
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.
Background:
Unplanned postoperative intubation is an important quality indicator, and is associated with significantly increased mortality in children. Infant patients are more likely than older pediatric patients to experience unplanned postoperative intubation, yet the literature provides few characterizations of this outcome in our youngest patients. The objective of this study was to identify risk factors for unplanned postoperative intubation and to develop a scoring system to predict this complication in infants undergoing major surgical procedures.
Methods:
In this retrospective cohort study, The National Surgical Quality Improvement Program-Pediatric database was surveyed for all infants who underwent noncardiac surgery between January 1, 2012 and December 31, 2015 (derivation cohort, n = 56,962) and between January 1 and December 31, 2016 (validation cohort, n = 20,559). Demographic and perioperative clinical characteristics were examined in association with our primary outcome of unplanned postoperative intubation within 30 days of surgery. Risk factors were analyzed in the derivation cohort (2012-2015 data) using multivariable logistic regression with stepwise selection. Parameters from the final model were used to create a scoring system for predicting unplanned postoperative intubation. Data from the validation cohort were utilized to assess the performance of the scoring system using the area under the receiver operating characteristic curve.
Results:
In the derivation cohort, 2.2% of the infants experienced unplanned postoperative intubation within 30 days of surgery. Of the 14 risk factors identified in multivariable analysis, 10 (age, prematurity, American Society of Anesthesiologists physical status, inpatient status, operative time >120 minutes, cardiac disease, malignancy, hematologic disorder, oxygen supplementation, and nutritional support) were included in the final multivariable logistic regression model to create the risk score. The area under the receiver operating characteristic curve of the final model was 0.86 (95% CI, 0.85-0.87) for the derivation cohort and 0.83 (95% CI, 0.82-0.85) for the validation cohort.
Conclusions:
About 1 in 50 infants undergoing major surgical procedures experiences unplanned postoperative intubation. Our scoring system based on routinely collected perioperative assessment data can predict risk in infants with good accuracy. Further investigation should assess the clinical utility of the scoring system for risk stratification and improvement in perioperative care quality and patient outcomes.
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