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December 8, 2025BloodOpen Access

Predictors of early mortality in Acute Myeloid Leukemia: A population based analysis using SEER data.

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Authors

AIAhmad IftikharIKImran Khan

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Overview

Retrospective cohort analysis identifies acute myeloid leukemia risk factors, finding lower mortality rates with chemotherapy in metropolitan areas.

Key Points

  • Early mortality in acute myeloid leukemia is significantly associated with age and lack of chemotherapy, impacting patient outcomes.
  • Patients receiving chemotherapy had a much lower early mortality rate of 20.6% compared to 61.2% for those who did not receive treatment.
  • Logistic regression analysis reveals strong predictors such as age, marital status, and household income in patients with acute myeloid leukemia.
  • These findings highlight the need for timely treatment and support in high-risk demographics to improve early mortality outcomes.

Cite This Study

Iftikhar et al. (2025) studied this question.

synapsesocial.com/papers/69362f7d4fa91c937236e464https://doi.org/10.1182/blood-2025-1632
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  5. 5Hematologic predictors of serious infection and impact of serious infection on long-term mortality in AML patients: Insights from propensity-matched real-world cohorts2025