BACKGROUND: Progress has been made in determining the biological variants of acute myelogenous leukemia (AML) and their prognostic implications. However, to the authors' knowledge, little is known regarding the impact of nonbiological factors (NBFs) on the survival of patients with AML. METHODS: The impact of NBFs (marital status, insurance status, county-level income, and education) on survival was assessed along with biological factors (disease subtype, sex, age, and race/ethnicity) using a cohort of patients aged 19 to 64 years who were diagnosed with AML between 2007 and 2011 and reported to the Surveillance, Epidemiology, and End Results program registry (SEER 18). RESULTS: There were 5541 patients included. The median overall survival for the entire study population was 16 months. On multivariate analysis, an increased risk of death was independently linked to being a Medicaid beneficiary, uninsured, single, divorced, and residing in a county within the lower 3 quintiles of median household income. NBFs affected the risk of early (<2 months) and late mortality and their impact was confirmed among patients known to have received chemotherapy. CONCLUSIONS: Insurance status, marital status, and county-level income were found to independently affect the survival of younger patients with AML and should be integrated into outcome comparisons. Interventions are needed to mitigate the impact of social factors on survival among patients with AML.
BACKGROUND: Progress has been made in determining the biological variants of acute myelogenous leukemia (AML) and their prognostic implications. However, to the authors' knowledge, little is known regarding the impact of nonbiological factors (NBFs) on the survival of patients with AML. METHODS: The impact of NBFs (marital status, insurance status, county-level income, and education) on survival was assessed along with biological factors (disease subtype, sex, age, and race/ethnicity) using a cohort of patients aged 19 to 64 years who were diagnosed with AML between 2007 and 2011 and reported to the Surveillance, Epidemiology, and End Results program registry (SEER 18). RESULTS: There were 5541 patients included. The median overall survival for the entire study population was 16 months. On multivariate analysis, an increased risk of death was independently linked to being a Medicaid beneficiary, uninsured, single, divorced, and residing in a county within the lower 3 quintiles of median household income. NBFs affected the risk of early (<2 months) and late mortality and their impact was confirmed among patients known to have received chemotherapy. CONCLUSIONS: Insurance status, marital status, and county-level income were found to independently affect the survival of younger patients with AML and should be integrated into outcome comparisons. Interventions are needed to mitigate the impact of social factors on survival among patients with AML.
Authors: Ashley M Perry; Andrew M Brunner; Tao Zou; Kristin L McGregor; Philip C Amrein; Gabriela S Hobbs; Karen K Ballen; Donna S Neuberg; Amir T Fathi Journal: Cancer Date: 2017-05-02 Impact factor: 6.860
Authors: Naama Keren-Froim; Gabriel Heering; Gal Sharvit; Maya Zlotnik; Arnon Nagler; Avichai Shimoni; Abraham Avigdor; Jonathan Canaani Journal: Ann Hematol Date: 2022-01-06 Impact factor: 3.673
Authors: Ochaka J Egesie; Patricia A Agaba; Olugbenga A Silas; Chad Achenbach; Ayuba Zoakah; Oche O Agbaji; Jeremiah A Madaki; Edith N Okeke; Lifang Hou; Atiene S Sagay; Robert Murphy Journal: J Med Trop Date: 2018-05-29