Demographic factors affecting patients with AML with myelodysplasia-related changes.

Abstract

e19027 Background: Acute myeloid leukemia with myelodysplasia-related changes (AML-MRC) is a rare and aggressive form of acute myeloid leukemia (AML) that makes up about 25-34% of its annual cases. The subtype includes a varied group of tumors with clinical, genetic, and morphological characteristics that confer poor outcomes. AML-MRC is commonly treated with intensive chemotherapy, but the median survival is only 9-12 months. Given the poor outcomes, gaining a better understanding of epidemiologic factors could reveal opportunities for earlier diagnosis and improved treatment planning. Demographic characteristics of AML-MRC patients were identified and examined using the National Cancer Database (NCDB). Methods: Individuals with a confirmed diagnosis of AML-MRC (N = 14,536) were identified using the NCDB for a retrospective analysis from 2004 to 2020. Patient sex, age at diagnosis, race, household income, insurance status, urban/rural residence, and Charlson-Deyo score were examined by descriptive statistics, and diagnostic trends by year were identified and calculated with regression analysis. Results: A total of 14,536 patients diagnosed with AML-MRC between 2004 – 2020 were identified in the NCDB. Within this timeframe, there was an increasing incidence of diagnosis per year (R2 = 0.9). AML-MRC was more common in males (61.1%) than females (38.9%), and the average age at diagnosis was 68.9 years (SD = 13.0, range = 0 – 90 years). The majority of patients (87.3%) were White. Patients were most likely to be a part of the highest median household income quartile (33.6%) and least likely to be a part of the bottom quartile (13.2%). A higher percentage of patients were insured by Medicare (63.0%) compared to private insurance (25.3%). Most patients lived in counties in metro areas of 1 million population or more (51.4%). Most individuals had Charlson-Deyo comorbidity scores of zero (68.1%). The most common type of treatment facility was academic/research programs (55.1%) followed by comprehensive community cancer programs (23.3%). Conclusions: AML-MRC is a common subtype of AML with a poor prognosis. Previous studies have found that most individuals with AML-MRC are older-aged, White males. Our study corroborated this finding and examined additional demographic factors. We found that these patients were more likely to hold insurance through Medicare, likely reflecting the older average age at diagnosis. Additionally, patients were most commonly in the highest household income quartile and living in a metropolitan area with the highest population density. This could suggest that better access to healthcare improves rates of diagnosis of AML-MRC. Especially given that more people are being diagnosed each year, further research should work to understand the effects of these, and other, socioeconomic factors on the diagnosis, treatment, and prognosis of patients with AML-MRC.