The overall prognosis of older patients with acute myeloid leukemia (AML) is dismal. Only a small subgroup experiences long-term survival. The discrimination between patients who are candidates for potentially curative approaches and those who are not is crucial since - in addition to differences in terms of AML-directed treatment - different policies concerning intensive care unit (ICU) admission and involvement of specialized palliative care (SPC) seem obvious. To shed more light on characteristics, outcomes and health care utilization of older individuals with AML, we conducted an analysis comprising 107 consecutive patients with newly diagnosed AML aged ≥70 years treated at an academic tertiary care center in Germany between 1 January 2015, and 31 December 2020. Median age was 75 years (range: 70-87 years); 45% of patients were female. The proportion of patients receiving intensive induction chemotherapy was 35%, 55% had low-intensity treatment and 10% did not receive AML-directed treatment or follow-up ended before treatment initiation. At least one ICU admission was documented for 47% of patients; SPC was involved in 43% of cases. Median follow-up was 199 days. The median overall survival (OS) was 2.5 months; the 1-year OS rate was 16%. Among patients who died during observation, the median proportion of time spent in the hospital between AML diagnosis and death was 56%. The most common places of death were normal wards (31%) and the ICU (28%). Patients less frequently died in a palliative care unit (14%) or at home (12%). In summary, results of the present analysis confirm the unfavorable prognosis of older patients with AML despite intensive health care utilization. Future efforts in this patient group should aim at optimizing the balance between appropriate AML-directed treatment on the one hand and health care utilization including ICU stays on the other hand.

Characteristics, outcomes and health care utilization of patients with acute myeloid leukemia aged 70 years or older: A single‐center retrospective analysis