Pediatric anesthesia & critical care
Development and validation of a multivariable prediction model in pediatric liver transplant patients for predicting intensive care unit length of stay
Authors' conclusion
We develop and validate a model to predict prolonged intensive care unit length of stay in pediatric liver transplant patients using risk factors from all phases of the perioperative period.
Study context
- Population
- Consecutive paediatric (<18 years) isolated liver transplant recipients, single institution, April 1, 2013–April 30, 2020
- Participants
- 186 participants
- Outcome
- ICU LOS greater than 7 days
Methodological detailsprediction model development and validation, single-centre, multivariable logistic regression
- Prediction model development and validation
- Single-centre
- Multivariable logistic regression
Main finding
As reported in the abstract
Factors associated with prolonged ICU LOS (multivariable logistic regression)
Odds ratio (95% CI)P value
Age < 12 months
4.02(1.20–13.51)
P = 0.024Metabolic or cholestatic disease
2.66(1.01–7.07)
P = 0.04930-day pretransplant hospital admission
8.59(2.27–32.54)
P = 0.002Intraoperative RBC transfusion >40 mL/kg
3.32(1.12–9.81)
P = 0.030Posttransplant return to the operating room
11.45(3.04–43.16)
P = 0.004Major postoperative respiratory event
32.14(3.00–343.90)
P < 0.001- Model discrimination, AUC
- 0.888 (95% CI, 0.824-0.951)
Observational data: associations, not effects.
Original publication
Development and validation of a multivariable prediction model in pediatric liver transplant patients for predicting intensive care unit length of stay. Paediatr Anaesth. Published 9 August 2023. doi:10.
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