Prognostic model predicts survival based on genetic mutations and risk scores in acute myeloid leukemia patients, suggesting improved treatment strategies.
Key Points
The prognostic model for acute myeloid leukemia demonstrated significant discriminative performance, notably surpassing prior classifications.
Independent predictors like age at onset and lactate dehydrogenase are integrated into the risk score for survival prediction.
Analysis of the validation set confirmed robust discrimination with a Harrell's concordance index of 0.685.
The ZJ-AML model improves candidate identification for haematopoietic stem cell transplantation based on tailored risk stratification.