Literature DB >> 27337292

Do quality of life, physical function, or the Wheatley index at diagnosis predict 1-year mortality with intensive chemotherapy in older acute myeloid leukemia patients?

Narhari Timilshina1, Henriette Breunis2, George Tomlinson3, Joseph Brandwein4, Shabbir M H Alibhai5.   

Abstract

Treatment decision-making is complicated in older adults with acute myeloid leukemia (AML) because of poor prognosis and significant treatment toxicities. Improved prognostication at the time of diagnosis, such as with the Wheatley Index, may aid clinical decision-making. Pre-treatment quality of life (QOL) or objective physical performance measures (PPMs) may also predict outcomes such as mortality in oncology. We investigated the predictive value of the Wheatley Index, QOL and PPMs at diagnosis on one-year mortality in older (60+ years) AML patients undergoing intensive chemotherapy (IC) in a large AML referral center. AML patients undergoing IC were enrolled in a single-center prospective study. The Wheatley prognostic risk category (good, standard and poor) was determined. Predictors of one-year mortality were assessed with logistic regression. Overall one-year mortality was 37.1%. QOL and PPMs at diagnosis were not good predictors of one-year mortality. Poor Wheatley risk category was the strongest predictor in both univariate and multivariable mortality models (adjusted odds ratio 7.1, 95% confidence interval 1.95-25.5, p<0.001). The Wheatley index may be useful to clinicians and patients by providing an integrated prognostic tool to guide up-front therapy in AML.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Acute myeloid leukemia; Chemotherapy; Mortality; Physical fitness; Quality of life; Wheatley risk index

Mesh:

Year:  2016        PMID: 27337292     DOI: 10.1016/j.leukres.2016.06.001

Source DB:  PubMed          Journal:  Leuk Res        ISSN: 0145-2126            Impact factor:   3.156


  5 in total

1.  Delivering intensive therapies to older adults with hematologic malignancies: strategies to personalize care.

Authors:  Rebecca L Olin
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2019-12-06

2.  Quality of life and socioeconomic indicators associated with survival of myeloid leukemias in Canada.

Authors:  Sonya Cressman; Donna E Hogge; Mark D Minden; Stephen Couban; Aly Karsan; Raewyn Broady; Emily McPherson; Khalif Halani; Jing Yi Weng; Stuart J Peacock
Journal:  EJHaem       Date:  2020-07-10

Review 3.  Definition of Unfit for Standard Acute Myeloid Leukemia Therapy.

Authors:  Heidi D Klepin
Journal:  Curr Hematol Malig Rep       Date:  2016-12       Impact factor: 3.952

4.  Geriatric assessment among older adults receiving intensive therapy for acute myeloid leukemia: Report of CALGB 361006 (Alliance).

Authors:  Heidi D Klepin; Ellen Ritchie; Brittny Major-Elechi; Jennifer Le-Rademacher; Drew Seisler; Libby Storrick; Ben L Sanford; Guido Marcucci; Weiqiang Zhao; Susan A Geyer; Karla V Ballman; Bayard L Powell; Maria R Baer; Wendy Stock; Harvey Jay Cohen; Richard M Stone; Richard A Larson; Geoffrey L Uy
Journal:  J Geriatr Oncol       Date:  2019-10-24       Impact factor: 3.599

5.  The prevalence, risk factors, and prognostic value of anxiety and depression in refractory or relapsed acute myeloid leukemia patients of North China.

Authors:  Mianmian Gu; Xiaohong Hao; Lin Cong; Jie Sun
Journal:  Medicine (Baltimore)       Date:  2019-12       Impact factor: 1.817

  5 in total

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