Oncology and Therapy (Sep 2024)

A Retrospective Cohort Study to Determine Real-World Treatment Patterns in Patients with Sézary Syndrome in the United States

  • Robert Ristuccia,
  • Yang Zhao,
  • Chunlan Chang,
  • Huanxue Zhou,
  • Takeshi Takahashi,
  • Takanobu Nomura,
  • Eslie Dennis,
  • Oleg Akilov

DOI
https://doi.org/10.1007/s40487-024-00306-2
Journal volume & issue
Vol. 12, no. 4
pp. 775 – 786

Abstract

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Abstract Introduction Sézary syndrome (SS) is a rare leukemic cutaneous T cell lymphoma. This study was conducted to examine the real-world treatment patterns among patients with SS in the USA from 2018 to 2020. Methods This was a retrospective cohort study using the Symphony Health Solutions claims database. Adult patients with ≥ 1 diagnosis code for SS were classified into three non-mutually exclusive cohorts: 2018, 2019, and 2020. Patient characteristics and treatment patterns were examined across the 3 years of study and reported descriptively for each year. Annual treatment patterns were also described for the five states with the highest proportions of SS patients in 2020. Results Overall, 869, 882, and 853 SS patients were identified in 2018, 2019, and 2020, respectively (median age: 70 years for each year; male: 54.4%, 54.8%, and 55.6%, respectively). The use of any systemic and parenteral systemic treatments increased over time. While utilization rates for many specific systemic therapies decreased over the study period, mogamulizumab use increased, making it the most commonly used systemic treatment in 2020 (29.2%) among patients with any systemic treatment. The five states with the highest proportions of SS patients in 2020 were Florida, New York, California, Texas, and Pennsylvania. Systemic treatment patterns varied considerably by state. Conclusion Some systemic therapies showed decreased usage over time while a few showed increased utilization, with mogamulizumab showing the largest increase. Treatment patterns for SS varied by region. Further research is needed to examine the factors that drive treatment selection for patients with SS.

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