Neighborhood disadvantage, insurance status, and molecular profiling of patients with acute myeloid leukemia

Leuk Res. 2023 Aug:131:107326. doi: 10.1016/j.leukres.2023.107326. Epub 2023 May 24.

Abstract

Next-generation sequencing (NGS) is important for prognostication and determining eligibility for targeted therapies in acute myeloid leukemia (AML). The use of NGS has increased in clinical practice, but variability in testing patterns still exist. The purpose of this study was to assess trends in molecular genetic sequencing in AML based on insurance status and area deprivation index (ADI), a validated metric of neighborhood disadvantage. Patient demographics, clinical characteristics, cytogenetic and molecular data, and treatment patterns were collected retrospectively for 275 patients diagnosed with AML at a single institution. No significant differences in practice patterns and patient outcomes based on ADI rank were observed. In contrast, patients with Medicare or underinsured status were less likely to have genetic sequencing performed, were treated with less intensive regimens, and had inferior overall survival compared to those with Medicaid or private insurance. On univariate analysis, molecular genetic sequencing was associated with improved overall survival, suggesting that NGS data allows for better risk stratification and more informed therapeutic decision-making. These data highlight the current barriers to molecular genetic sequencing, demonstrate the positive benefits of NGS on clinical outcomes, and support universal coverage of NGS for all patients with AML.

Keywords: Acute myeloid leukemia; Area Deprivation Index; Healthcare Disparity; Medicaid; Medicare.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adult
  • Female
  • Healthcare Disparities*
  • Humans
  • Insurance Coverage*
  • Leukemia, Myeloid, Acute* / genetics
  • Leukemia, Myeloid, Acute* / therapy
  • Male
  • Molecular Targeted Therapy* / economics
  • Neighborhood Characteristics
  • Retrospective Studies
  • Social Deprivation
  • Socioeconomic Factors
  • Survival Analysis