AML-CM Score Predicts Prognosis in Hemato-Geriatric Patients with New-Onset Acute Myeloid Leukemia (AML) Who Receive Hypomethylating Agents (HMA)

Background Although much efforts have been made to precisely define fitness of AML patients, in patients who are not candidate to chemotherapy, there is no prognostic model and the respective weight of AML biology and patient fitness are not well established. Here we test AML-CM score (Sorror, JAMA 2018), that is validated in fit population, in a set of old AML patients who received HMAs. Methods We retrospectively collected data of consecutive patients who received HMAs in our institution from 1st Jan 2008 with an age > 65 years at AML diagnosis. AML-CM score was applied to all the patients. Patients were divided in 4 groups (score 1-4: group 1, score 5-6: group 2; score 7-9: group 3, score > 9: group 4) and in 2 macro-groups (score 1-6: group A and score > 6 group B) for the analyses. Descriptive data are presented as median with interquartile ranges (IQR). Adverse events are graded according to CTCAE v4.03. Survival analysis was conducted with Kaplan-Meyer and are presented as 95% confidence intervals (C.I.) and differences in overall survival (OS) were tested with 2-side log rank test. Fisher exact test and Person's chi squared test were used whenever appropriate. Results At data cut-off, 1st Jan 2019, 60 consecutive patients received decitabine or azacytidine as 1st line therapy for AML. Median age of the population was 75.94 years (IQR 72.53-80.38). Most of the patients (37/62, 59.7%) had de novo AML, 19/62 (30.6%) had AML secondary to previous myeloid disorders and 6/62 (9.7%) had AML secondary to chemotherapy or radiotherapy. Most of the patients were smokers (19/33, 57.57%, 29 no data), and few were usual drinkers (4/16, 25.00%, 46 no data). In our set, out of 62 patients, 2 patients (3.2%) had inv(3), 1 (1.6%) a translocation involving 11q23, 1 (1.6%) del(5q), 4 (6.4%) mon(7) or del (7q), 1 (1.6%) del(17p), 15 (24.2%) complex karyotype, 27 (43.5%) normal karyotype, 4 (6.5%) other alterations and 5 were not evaluable; 3/17 (17.65%, 45 no data) harbored IDH2 mutation, 1/16 (6.25%) IDH2 mutation, 2/33 FLT3 mutation (6.06%, 29 no data), 1/24 (4.17%, 38 no data), 2/15 (13.33%, 47 no data) TP53 mutation. According to ELN 2017, 3/62 patients (4.83%) had low risk, 34/62 (54.84%) intermediate risk and 23/62 (37.10%) high risk AML. According to AML-CM score, 13/62 patients (20.97%) were in group A, 20/62 (32.36%) in group B, 21/62 (33.87%) in group C, 6/62 (9.68%) in group D, 2/62 (3.23%) were not allocated for incomplete AML-CM score. There was no differe