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Pediatric discard risk index for predicting pediatric liver allograft discard
Tahir Malik1, Manasi Joshi1, Elizabeth Godfrey1
1Department of Surgery, Baylor College of Medicine, Houston, TX, USA.
Insights
A new pediatric discard risk score (pDSRI) predicts liver allograft discard using 11 factors, aiming to reduce waste and optimize donor supply for children awaiting transplants.
Area of Science:
- Organ transplantation
- Pediatric hepatology
- Transplant immunology
Background:
- Annually, 600 pediatric candidates are listed for liver transplants, with 100 remaining on the waiting list.
- Over 100 pediatric liver allografts are discarded yearly, frequently due to subjective assessments.
- This represents a significant loss of viable organs and a challenge in optimizing donor supply.
Purpose of the Study:
- To develop a predictive risk index for pediatric liver allograft discard.
- To optimize the utilization of donor organs for pediatric liver transplantation.
- To reduce the number of discarded liver allografts by providing objective discard criteria.
Main Methods:
- Retrospective analysis of 17,367 deceased pediatric donors (≤18 years old) using the UNOS database.
- Development of a risk index (pDSRI) through univariate and multivariate logistic regression models.
- Identification of significant predictors of allograft discard based on clinical and laboratory data.
Main Results:
- Eleven significant predictors of pediatric liver allograft discard were identified (P < .05).
- Key risk factors included donation after cardiac death (DCD), total bilirubin >10 mg/dL, and alanine transaminase (ALT) ≥500 IU/L.
- The pDSRI demonstrated strong predictive accuracy with a C-statistic of 0.846 (training) and 0.840 (validation).
Conclusions:
- The pDSRI accurately predicts the risk of pediatric liver allograft discard.
- This tool incorporates 11 significant risk factors, including liver function tests and donor characteristics.
- The pDSRI can potentially maximize donor yield and improve organ allocation for pediatric liver transplantation.
Background:
Of the 600 pediatric candidates added to the liver waiting list annually, 100 will remain waiting while over 100 liver allografts are discarded, often for subjective reasons.
Methods:
We created a risk index to predict discard to better optimize donor supply. We used the UNOS database to retrospectively analyze 17 367 deceased donors (≤18 years old) through univariate and multivariate logistic regression models. Deceased donor clinical characteristics and laboratory values were independent variables with discard being the dependent variable in the analysis. Significant univariate factors (P-value < .05) comprised the multivariate analysis. Significant variables from the multivariate analysis were incorporated into the pDSRI, producing a risk score for discard.
Results:
From 17 potential factors, 11 were identified as significant predictors (P < .05) of pediatric liver allograft discard. The most significant risk factors were as follows: DCD; total bilirubin >10 mg/dL, and alanine transaminase (ALT) ≥500 IU/L. The pDSRI has a C-statistic of 0.846 for the training set and 0.840 for the validation set.
Conclusion:
The pDSRI uses 11 significant risk factors, including elevated liver function tests, donor demographics, and donor risk/type to accurately predict risk of pediatric liver allograft discard and serve as a tool that may maximize donor yield.
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