The impact of anthracycline-based chemotherapy on fatigue: Results from WF-97415.

Authors

null

Nancy E Avis

Wake Forest School of Medicine, Winston Salem, NC

Nancy E Avis , Beverly J Levine , Shannon L. Mihalko , Heidi D. Klepin , Peter H. Brubaker , Tonya Calhoun , Susan Faye Dent , Mary Helen Hackney , Bonnie Ky , Amy Ladd , William Ofori Ntim , Lynne I. Wagner , Kathryn E. Weaver , W. Gregory Hundley

Organizations

Wake Forest School of Medicine, Winston Salem, NC, Wake Forest School of Medicine, Winston-Salem, NC, Wake Forest University, Winston-Salem, NC, Wake Forest Baptist Comprehensive Cancer Center, Winston Salem, NC, Duke University School of Medicine, Durham, NC, Virginia Commonwealth Univ, Richmond, VA, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, Virginia Commonwealth University, Richmond, VA, UNC School of Medicine, Novant Health Campus, Novant Health Heart & Vascular Institute, Charlotte, NC, Wake Forest University Health Sciences, Winston-Salem, NC

Research Funding

U.S. National Institutes of Health

Background: Chemotherapy (CT) is one of the most common factors associated with fatigue among breast cancer (BC) patients. However, there is a paucity of research on the impact of different types of CT on fatigue, specifically, whether women who receive anthracycline-based (Anth) CT experience greater fatigue than those who receive non-anthracycline-based (noAnth) CT. Methods: Analyses are from the longitudinal Understanding and Predicting fatigue, cardiovascular decline, and events after BrEast cAncer sTudy (UPBEAT: WF 97415)), conducted through the NCI Community Oncology Research Program (NCORP). We compared fatigue 3-months after initiating cancer treatment, controlling for fatigue measured just prior to beginning CT (baseline), in 3 groups of women: BC patients receiving Anth CT (N = 103 at baseline), BC patients receiving NoAnth CT (N = 155), and women without cancer (N = 145). Fatigue was measured by the Functional Assessment of Chronic Illness Therapy Fatigue scale where lower scores indicate greater fatigue. Scores < 30 indicate severe fatigue. We used ANOVA and ANCOVA models (PROC GLM; SAS v. 9.4) to generate unadjusted and adjusted mean fatigue scores in the 3 groups at the relevant time point. Given that selection to CT type was not random, we further adjusted for patient characteristics that influence treatment type (stage and comorbidities) in a model with the two CT groups only. Results: Mean age of participants (75.7% White and 18.1% Black) was 53.9 years. Among BC patients, the Anth group had higher tumor stage compared to the NoAnth group. Both cancer treatment groups reported significantly greater (unadjusted) fatigue pre-chemotherapy and at 3 months than healthy controls, but did not differ from each other. Adjusting for age and baseline fatigue, 3-month fatigue scores were significantly worse for the two CT groups (32.3 for Anth group, 34.3 for the NoAnth group) compared to the controls (44.6) (p < .0001). In a model of cancer patients only, the difference between Anth and NoAnth groups remained non-significant (p = 0.10), after adjusting additionally for number of comorbidities and cancer stage. The unadjusted percentage of women with severe fatigue at 3 months was significantly greater for the BC patients (39% in the Anth group; 38% in the NoAnth group) compared to the healthy controls (1%), but again the two chemotherapy groups were not significantly different from each other. Adjustment for covariates listed above did not change this finding. Conclusions: Analyses support previous studies showing significant fatigue among BC patients treated with CT compared to women without cancer. Our data suggest that fatigue significantly impacts patients receiving CT irrespective of the regimen selected.

Mean 3-month fatigue scores.1


Anth
NoAnth
Control
Unadjusted
31.8
33.6
45.9
Adjusted
32.3
34.3
44.6

1lower score = greater fatigue. Funding provide by: 2UG1CA189824, R01CA199167, and 2UG1CA189828.

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Abstract Details

Meeting

2022 ASCO Annual Meeting

Session Type

Publication Only

Session Title

Symptoms and Survivorship

Track

Symptom Science and Palliative Care

Sub Track

Palliative Care and Symptom Management

Citation

J Clin Oncol 40, 2022 (suppl 16; abstr e24115)

DOI

10.1200/JCO.2022.40.16_suppl.e24115

Abstract #

e24115

Abstract Disclosures