Relationship between obesity and clinical outcome in adults with acute myeloid leukemia: A pooled analysis from four CALGB (alliance) clinical trials

Jorge J. Castillo, Flora Mulkey, Susan Geyer, Jonathan E. Kolitz, William Blum, Bayard L. Powell, Stephen L. George, Richard A. Larson, Richard M. Stone

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

Obesity has been previously suggested as an adverse prognostic marker in patients with acute leukemia. To evaluate the relationship between obesity and clinical outcome, disease-free survival (DFS) and overall survival (OS), in patients with acute myelogenous leukemia (AML), including acute promyelocytic leukemia (APL), we performed a pooled analysis of four CALGB (Alliance) clinical trials. Our study included 446 patients with APL from CALGB 9710, and 1,648 patients between 18 and 60 years of age with non-APL AML from CALGB 9621, 10503, and 19808. Obesity was defined as BMI ≥30 kg/m2. Multivariate Cox proportional-hazard regression models were fitted for DFS and OS. Obesity was seen in 50% and 38% of APL and non-APL AML patients, respectively. In APL patients, obesity was associated with worse DFS (HR 1.53, 95% CI 1.03-2.27; P = 0.04) and OS (HR 1.72, 95% CI 1.15-2.58; P = 0.01) after adjusting for age, sex, performance status, race, ethnicity, treatment arm and baseline white blood cell count. Obesity was not significantly associated with DFS or OS in the non-APL AML patients. In conclusion, our study indicates that obesity has significant prognostic value for DFS and OS in APL patients, but not for non-APL AML patients.

Original languageEnglish (US)
Pages (from-to)199-204
Number of pages6
JournalAmerican journal of hematology
Volume91
Issue number2
DOIs
StatePublished - Feb 1 2016

ASJC Scopus subject areas

  • Hematology

Fingerprint Dive into the research topics of 'Relationship between obesity and clinical outcome in adults with acute myeloid leukemia: A pooled analysis from four CALGB (alliance) clinical trials'. Together they form a unique fingerprint.

Cite this