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Pediatric unplanned extubation risk score: A predictive model for risk assessment
Valéria C Neves1, Camila G R Locatelli2, Olivia Ramalho3
1Pediatric Intensive Care Unit, Complexo Hospital de Clínicas, Universidade Federal do Paraná (UFPR), Curitiba, (PR), Brazil; Department of Pediatrics, Universidade Federal do Paraná (UFPR), Curitiba, (PR), Brazil.
Unplanned extubation in pediatric intensive care can be predicted using the Pediatric Unplanned Extubation Risk Score. This tool identifies key risk factors to prevent adverse events in intubated children.
Area of Science:
- Pediatric critical care medicine
- Patient safety research
- Mechanical ventilation management
Background:
- Unplanned extubation is a frequent, preventable adverse event in mechanically ventilated patients.
- Effective risk stratification is crucial for improving patient outcomes in pediatric intensive care units (PICUs).
Purpose of the Study:
- To develop and validate a predictive model, the Pediatric Unplanned Extubation Risk Score, for identifying children at high risk of unplanned extubation in the PICU.
- To identify significant risk factors associated with unplanned extubation in pediatric patients.
Main Methods:
- A single-center, observational study conducted in a PICU.
- Inclusion criteria: pediatric patients (28 days to 14 years) requiring invasive mechanical ventilation.
- Development and application of the Pediatric Unplanned Extubation Risk Score over a 2-year period with 2,153 observations.
Main Results:
- The Pediatric Unplanned Extubation Risk Score identified several significant risk factors for unplanned extubation.
- Key factors include: inadequate endotracheal tube fixation (OR 2.00), insufficient sedation (OR 3.00), age ≤ 12 months (OR 1.27), airway hypersecretion (OR 11.00), inadequate family/nurse support (OR 5.00), and the weaning period (OR 3.00).
- Unplanned extubation occurred in 73 out of 2,153 observations.
Conclusions:
- The developed scoring system demonstrates good sensitivity in predicting unplanned extubation risk.
- The model effectively integrates six key aspects, which can act as isolated or combined risk factors, aiding in proactive patient management.
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