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A Recipient Risk Prediction Tool for Short-term Mortality After Pediatric Heart Transplantation
Swati Choudhry1, Yunfei Wang1, Susan W Denfield1
1Department of Pediatrics, Section of Pediatric Cardiology, Texas Children's Hospital, Baylor College of Medicine, Houston, TX.
Insights
A new risk score predicts early death after pediatric heart transplantation (HT). This tool uses recipient factors to identify high-risk children, potentially improving organ allocation and patient outcomes.
Area of Science:
- Pediatric Cardiology
- Transplant Surgery
- Biostatistics
Background:
- The first year post-heart transplantation (HT) presents the highest mortality risk.
- Pediatric HT recipients face significant early mortality challenges.
Purpose of the Study:
- To develop and validate a recipient risk prediction tool for early mortality after pediatric HT.
- To identify key recipient characteristics associated with 1-year post-HT mortality.
Main Methods:
- Utilized the ISHLT registry (2000-2014) for derivation and the SRTR registry (2015-2017) for external validation.
- Identified independent predictors of 1-year mortality based on recipient characteristics at HT.
- Developed a 20-point risk score incorporating 8 recipient variables.
Main Results:
- A 20-point risk score was developed using 8 recipient variables: age, diagnosis, ventilator use, ECMO, iNO, infection, eGFR, and bilirubin.
- High-risk score patients had a 7-fold increased risk of 1-year mortality (HR 7.4).
- The risk score demonstrated good predictive capability (C-statistics 0.77, 0.75, 0.78) and fit (HL-GOF P<0.001).
Conclusions:
- A validated, simple risk prediction model for 1-year post-HT mortality in pediatric patients was derived.
- This tool can aid clinicians in identifying high-risk candidates for pediatric heart transplantation.
- The model may facilitate optimized organ sharing and improved patient management post-transplant.
Background:
The first year after heart transplantation (HT) has the highest risk of mortality. We aim to derive and validate a recipient risk prediction tool for early mortality after pediatric HT.
Methods:
The International Society for Heart and Lung Transplantation (ISHLT) registry was used to identify patients (≤18 y) who underwent primary HT during January 2000-December 2014. Independent predictors of 1-year mortality were identified based on recipient characteristics at HT. Risk scores were assigned based on the magnitude of relative odds of 1-year mortality. The predictive capability of the ISHLT registry derived recipient risk score was externally validated using the Scientific Registry of Transplant Recipients registry data from 2015 to 2017 to ensure a cohort of patients completely exclusive from the derivation cohort.
Results:
A total of 5045 eligible patients were included in the analysis. The 20-point risk scoring system incorporated 8 recipient variables, including age at HT, diagnosis, pre-HT ventilator use, extracorporeal membrane oxygenation, inhaled nitric oxide use, infection, estimated glomerular filtration rate, and serum bilirubin. Compared with low-risk score group, high-risk group had 7-fold increased risk of 1-year mortality (hazard ratio 7.4; 95% CI [5.2-9.1]; P < 0.001). The C-statistics (0.77) and Hosmer-Lemeshow goodness of fit (0.9) for recipient risk score using derivation cohort from ISHLT registry performed well and was similar to the internal and external validation cohort (C-statistics 0.75, 0.78 and Hosmer-Lemeshow goodness of fit P = 0.4, 0.3, respectively).
Conclusions:
This study derived and externally validated a simple risk predictive model based on recipient characteristics at HT that has good prediction characteristics for 1-year post-HT mortality. This model may help clinicians identify candidates who are at a higher risk for post-HT mortality and may optimize organ sharing.
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