Comparison of clinical outcomes of several risk stratification tools in newly diagnosed AML patients: A real‐world evidence in our current therapeutic era

Abstract Background of the study AML classification tools have been developed to stratify the risk at AML diagnosis. There is a need to evaluate these tools in the current therapeutic era. Cohort characteristics In this retrospective study, we compared five classifiers: ELN 2017, ELN 2022, ALFA classifier, Papaemmanuil et al. classifier, and Lindsley et al. classifier, in a real‐life cohort of 281 patients newly diagnosed for AML in Nice University Hospital. In our cohort median age was 68 years old, sex ratio was M/F 56%/44%, performance status was lower than 2 in 73.1% of patients, AML subtype was “De novo” in 71.5%, “secondary” in 22.4%, and “therapy‐related” in 6.0% of patients. Intensive chemotherapy was used in 53.0% of patients, and non‐intensive chemotherapy in 40.6% of patients. Molecular analysis was available in a large majority of patients and the main mutations found were NPM1 (22.7%), DNMT3A (17.4%), TP53 (13.1%), TET2 (12.4%), and FLT3‐ITD (12.4%). Results In our findings, the comparison of overall survival between the three prognostic groups in the global cohort was statistically significant in all classifiers: ELN 2017 p