Predictors of significant worsening of patient-reported fatigue over a 1-month timeframe in ambulatory patients with common solid tumors

Michael J. Fisch*, Fengmin Zhao, Ann M. O'Mara, Xin Shelley Wang, David Cella, Charles S. Cleeland

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Background Understanding the determinants of fatigue worsening may help distinguish between different fatigue phenotypes and inform clinical trial designs. Methods Patients with invasive cancer of the breast, prostate, colon/rectum, or lung were enrolled from multiple sites. At enrollment during an outpatient visit and 4 or 5 weeks later, patients rated their symptoms on a numerical rating scale from zero to 10. A 2-point change on that scale was considered clinically significant for a change in fatigue. Effects of demographic and clinical factors on patient-reported fatigue were examined using logistic regression models. Results In total, 3123 patients were enrolled at baseline, and 3032 patients could be analyzed for fatigue change. At baseline, 23% of patients had no fatigue, 35% had mild fatigue, 25% had moderate fatigue, and 17% had severe fatigue. Key parameters in a model of fatigue worsening included fatigue at baseline (odds ratio [OR], 0.75), disease status (OR, 1.99), performance status (OR, 1.38), history of depression (OR, 1.28), patient perception of bother because of comorbidity (OR, 1.26), and treatment exposures, including recent cancer treatment (OR, 1.77) and receipt of corticosteroids (OR, 1.37). The impact of sex was examined only in patients with colorectal and lung cancer, and it was a significant factor, with men most likely to experience worsening of fatigue (OR, 1.46). Conclusions Predictors of fatigue worsening included multiple factors that were difficult to modify, including the baseline fatigue level, sex, disease status, performance status, recent cancer treatment, bother because of comorbidity, and history of depression. Future fatigue prevention and treatment trial designs should account for key predictors of worsening fatigue.

Original languageEnglish (US)
Pages (from-to)442-450
Number of pages9
JournalCancer
Volume120
Issue number3
DOIs
StatePublished - Feb 1 2014

Keywords

  • ambulatory care
  • cancer fatigue
  • medical oncology
  • symptom management

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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