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Development of a prognostic model for pediatric acute liver failure in a Brazilian center
José Colleti Junior1, Ana Cristina Aoun Tannuri1, Uenis Tannuri1
1Universidade de São Paulo, Departamento de Pediatria, Instituto da Criança, São Paulo, SP, Brazil.
Insights
A new prognostic model using INR and ALT can help doctors decide on liver transplantation for children with acute liver failure. This model aids in determining the best treatment for pediatric acute liver failure (PALF) patients.
Area of Science:
- Hepatology
- Pediatric Gastroenterology
- Transplantation Medicine
Background:
- Pediatric acute liver failure (PALF) is a severe condition with high mortality.
- Liver transplantation is a critical treatment for PALF patients who do not spontaneously recover.
- Accurate prognostic models are needed to guide liver transplantation decisions in PALF.
Purpose of the Study:
- To develop a prognostic model for predicting outcomes in pediatric acute liver failure (PALF).
- To support clinical decision-making regarding liver transplantation for PALF patients.
- To identify key clinical variables for prognostication in PALF.
Main Methods:
- Retrospective analysis of 120 PALF patients at a Brazilian center.
- Univariate analysis to identify risk factors for survival in PALF.
- Logistic multivariate regression to build prognostic models (INR/ALT and INR/Total Bilirubin).
Main Results:
- Two prognostic models were developed: Model 1 (INR/ALT) and Model 2 (INR/Total Bilirubin).
- Both models demonstrated high sensitivity (97.9%/96.9%) and accuracy (88.4%/88.5%).
- Area under the curve (AUC) was 0.87 for Model 1 and 0.88 for Model 2, indicating good predictive performance.
Conclusions:
- A prognostic model utilizing INR and ALT is effective for PALF.
- This model can assist clinicians in the critical decision to allocate patients for liver transplantation.
- The developed model improves prognostic accuracy for pediatric acute liver failure outcomes.
Objective:
Pediatric acute liver failure (PALF) is a heterogeneous, rare, and severe condition, which outcome is survival due to liver spontaneous recovery or death. The patients who do not recover may be allocated to liver transplantation, which is the standard treatment. This study aimed to build a prognostic model to support the clinical decision to indicate liver transplantation for patients with PALF in a Brazilian center.
Methods:
The authors retrospectively analyzed the clinical variables of 120 patients in the liver transplantation program of the 'Children's Institute of the University of São Paulo, Brazil. The authors conducted a univariate analysis of variables associated with survival in PALF. Logistic multivariate analysis was performed to find a prognostic model for the outcome of patients with pediatric acute liver failure.
Results:
Risk factors were analyzed using univariate analysis. Two prognostic models were built using multiple logistic regression, which resulted in 2 models: model 1(INR/ALT) and model 2 (INR/Total bilirubin). Both models showed a high sensitivity (97.9%/96.9%), good positive predictive value (89.5%/90.4%), and accuracy (88.4%/88.5%), respectively. The receiver operating characteristic was calculated for both models, and the area under the curve was 0.87 for model 1 and 0.88 for model 2. The Hosmer-Lemeshow test showed that model 1 was good.
Conclusion:
The authors built a prognostic model for PALF using INR and ALT that can contribute to the clinical decision to allocate patients to liver transplantation.
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