Elsevier

Leukemia Research

Volume 37, Issue 9, September 2013, Pages 998-1003
Leukemia Research

Geriatric assessment in older patients with acute myeloid leukemia: A retrospective study of associated treatment and outcomes

https://doi.org/10.1016/j.leukres.2013.05.013Get rights and content

Abstract

We explored whether geriatric assessment variables predicted mortality in addition to known prognostic factors in 101 patients aged ≥65 with newly diagnosed AML. Baseline comorbidity score (HR = 1.92; 95%CI 1.18–3.11), difficulty with strenuous activity (HR = 2.18; 95%CI 1.19–4.00), and pain (HR = 2.17; 95%CI 1.19–3.97) were independent prognostic factors for greater risk of death in a multivariable model that included cytogenetic risk group. They remained independent predictors in the subset of patients with baseline ECOG PS 0-1. Our results support the use of geriatric assessment to better predict prognosis in older patients with AML, even among those with excellent functional status.

Introduction

Acute myeloid leukemia (AML) is a disease of older adults whose incidence will increase dramatically in coming decades due to population aging [1]. AML patients over age 65 have much worse prognosis than younger patients, with a five-year disease-specific survival of only 5% [2]. These poor outcomes are due to a combination of age-related changes in disease biology and clinical factors such as decreased physiologic reserve, functional impairment and frailty [3], [4], [5]. Previous work has identified age, performance status, comorbidity, and cytogenetic risk group as important prognostic factors in older patients with AML [6]. However, few studies have explored the relationship between geriatric assessment and AML outcomes.

Comprehensive geriatric assessment (CGA) is a systematic method of identifying multiple predictors of morbidity and mortality in older adults that may impact cancer treatment and is recommended for older cancer patients by NCCN guidelines [7]. This recommendation was in part based on a multicenter study demonstrating that a self-administered geriatric assessment identified important prognostic factors in cancer patients [8]. A geriatric evaluation includes assessment of multiple domains including comorbidity and physical, cognitive and social function. The feasibility of performing a modified CGA in older patients with AML has been demonstrated, but it is not yet known how this information predicts outcomes [9].

Careful assessment of the potential benefits and risks of therapy is particularly vital in AML, as intensive chemotherapy with cytarabine and an anthracycline is the only treatment that gives hope of long-term survival. Response to induction is poor among older adults and toxicity is substantially higher than in younger individuals, but selected patients can achieve remission and cure [10], [11], [12]. Patients who are not candidates for induction may benefit from non-intensive treatments such as hypomethylating agents, and some are best served by purely palliative approaches [13], [14]. However, it can be difficult to predict which older patients will benefit from chemotherapy using routine clinical and biological factors alone. Growing evidence suggests that measures of comorbidity and functional status may also be valuable prognostic factors in elderly patients with AML [15], [16], [17], [18]. We utilized prospectively collected quality of life data to evaluate the utility of geriatric factors as predictors of survival in older patients with AML across varying treatment intensities.

Section snippets

Data collection

We performed a retrospective cohort study of consecutive patients ≥65 years of age that presented to Dana-Farber Cancer Institute (DFCI) between 2006 and 2011 for evaluation of a new diagnosis of AML. At the DFCI, all new patients with hematologic malignancies are asked to participate in a research protocol that involves a baseline questionnaire and prospective collection of clinical data into the Cancer Research Information System (CRIS) database. CRIS includes information collected by trained

Results

Between 2006 and 2011, 368 patients 65 and older presented to the DFCI with a diagnosis of AML. Of these, 163 (44.3%) did not complete the new patient survey prior to hospitalization for AML, 62 (16.8%) received previous chemotherapy for AML, and 42 were missing information on key variables, leaving 101 patients for the analysis. Baseline characteristics of the cohort are listed in Table 1. Overall, the cohort was white (98%), had a performance status ≤1 (79.3%), and had ≤1 comorbidity (72.4%).

Discussion

In this retrospective study of older patients with AML, we found that baseline geriatric assessment variables added valuable prognostic information to conventional clinical and pathological predictors of mortality. The model that best predicted survival in our cohort included a disease-specific comorbidity score and self-reported measures of strenuous activity and pain in addition to cytogenetic risk group. Geriatric assessment variables remained independent predictors of mortality even among

Conflict of interest statement

The authors report no conflicts of interest or disclosures that could inappropriately influence their work on this project. Dr. Richard M Stone has served in a Consultant or Advisory Role for Genzyme© and has received investigator-initiated research funding from Novartis©. Dr. Daniel J DeAngelo has served in a consultant or advisory role for Novartis©.

Acknowledgements

Funding source: Dr. Driver is funded by a Veterans’ Administration Career Development award. Alexander Sherman is funded by an American Federation for Aging Research Grant #1T35AG038027-02.

Author contributions: (1) the conception and design of the study, or acquisition of data, or analysis and interpretation of data (AES, GM, KRF, DJD, GAA, DS, MW, RMS, JAD), (2) drafting the article or revising it critically for important intellectual content (AES, GM, KRF, DJD, GAA, DS, MW, RMS, JAD), (3)

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