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- W202937462 abstract "Background: We previously developed and cross-validated a risk-prediction model to predict in-hospital mortality for children undergoing heart transplant (HT). This model has not been independently validated in a prospective cohort of patients. We sought to prospectively validate this risk-prediction model in an independent cohort of children transplanted during the year since the model was developed. Methods: We applied a previously developed risk prediction model to all children Results: Of 338 children in the prospective validation cohort, the median age was 3.7 yrs (IQR 0.7 to 12.7), 45% had CHD, 4% were on ECMO, 19% were on VAD support, and 4% had severe renal dysfunction. Overall, 6.2% died prior to hospital discharge with the risk of in-hospital mortality ranging from 60% for patients with CHD supported on ECMO with severe end-organ dysfunction. The C-statistic (0.835) and the Hosmer-Lemeshow goodness-of-fit (P=0.54) suggested excellent prediction of in-hospital mortality. Conclusions: When applied to an independent cohort of patients, this risk prediction model using 4 baseline clinical factors available at transplant had excellent prediction characteristics for in-hospital mortality after HT. This model may be useful to inform decision-making around patient eligibility for transplant, timing of mechanical support, and potentially organ allocation policy." @default.
- W202937462 created "2016-06-24" @default.
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- W202937462 date "2010-11-23" @default.
- W202937462 modified "2023-09-22" @default.
- W202937462 title "Abstract 17863: Prospective Validation of a Model to Predict In-Hospital Mortality After Pediatric Heart Transplantation" @default.
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