Predictors of early death and survival among children, adolescents and young adults with acute myeloid leukaemia in California, 1988-2011: a population-based study.


Abrahão, R; Keogh, RH; Lichtensztajn, DY; Marcos-Gragera, R; Medeiros, BC; Coleman, MP; Ribeiro, RC; Keegan, TH; (2016) Predictors of early death and survival among children, adolescents and young adults with acute myeloid leukaemia in California, 1988-2011: a population-based study. British journal of haematology, 173 (2). pp. 292-302. ISSN 0007-1048 DOI: 10.1111/bjh.13944

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Abstract

: A better understanding of factors associated with early death and survival among children, adolescents and young adults with acute myeloid leukaemia (AML) may guide health policy aimed at improving outcomes in these patients. We examined trends in early death and survival among 3935 patients aged 0-39 years with de novo AML in California during 1988-2011 and investigated the associations between sociodemographic and selected clinical factors and outcomes. Early death declined from 9·7% in 1988-1995 to 7·1% in 2004-2011 (P = 0·062), and survival improved substantially over time. However, 5-year survival was still only 50% (95% confidence interval 47-53%) even in the most recent treatment period (2004-2011). Overall, the main factors associated with poor outcomes were older age at diagnosis, treatment at hospitals not affiliated with National Cancer Institute-designated cancer centres, and black race/ethnicity. For patients diagnosed during 1996-2011, survival was lower among those who lacked health insurance compared to those with public or private insurance. We conclude that mortality after AML remained strikingly high in California and increased with age. Possible strategies to improve outcomes include wider insurance coverage and treatment at specialized cancer centres.<br/>

Item Type: Article
Faculty and Department: Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology
Faculty of Epidemiology and Population Health > Dept of Medical Statistics
Research Centre: Cancer Survival Group
PubMed ID: 26847024
Web of Science ID: 374560800012
URI: http://researchonline.lshtm.ac.uk/id/eprint/2531019

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