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A Predictive Model for Pediatric Postoperative Respiratory Failure: A National Inpatient Sample Study
Sarah L Nizamuddin1, Atul Gupta1, Usman Latif2
1Department of Anesthesia and Critical Care, 2462University of Chicago, Chicago, IL, USA.
Journal of Intensive Care Medicine
|June 4, 2020
Summary
Pediatric postoperative respiratory failure is linked to abdominal and spine surgeries, and higher comorbidity scores. A predictive model using these factors demonstrated good accuracy in identifying at-risk children.
Area of Science:
- Pediatric critical care medicine
- Health services research
Background:
- Pediatric postoperative respiratory failure (PPRF) is a significant concern.
- Identifying risk factors is crucial for developing preventative strategies.
Purpose of the Study:
- To identify risk factors for PPRF.
- To develop a predictive model for PPRF.
Main Methods:
- Retrospective case-control study using the US National Inpatient Sample (NIS) from 2012-2014.
- Analyzed demographic variables, surgical procedures, pediatric comorbidity scores, substance abuse, and kyphoscoliosis.
- Utilized the Pediatric Quality Indicator (PDI 09) for outcome measurement.
Main Results:
- Incidence of PPRF ranged from 1.31% to 1.41% between 2012 and 2014.
- Significant risk factors included abdominal surgery (OR 1.79-1.92), spine surgery (OR 6.41-7.10), and elevated pediatric comorbidity scores (OR 22.74-32.58).
- A predictive model achieved a C statistic of 0.82.
Conclusions:
- Abdominal and spine surgeries are significant risk factors for PPRF in pediatric patients.
- Higher pediatric comorbidity scores substantially increase the risk of PPRF.
- The developed prediction model shows good predictive capability for identifying children at risk of PPRF.
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