Clinical relevance of fatigue levels in cancer patients at a Veterans Administration Medical Center.
BACKGROUND
The correlation of fatigue levels with functional interference, symptom distress, and quality of life may help determine clinically significant fatigue levels.


METHODS
One hundred eighty consecutive patients with cancer completed the Functional Assessment of Cancer Therapy (FACT) General and Fatigue subscales (FACT-G and FACT-F, respectively), the Memorial Symptom Assessment Scale-Short Form (MSAS-SF), the Depression Scale (Zung), and the Brief Fatigue Inventory (BFI). The Karnofsky performance status (KPS) was determined for each patient. Multivariate analyses of variance were performed to compare fatigue models with different cut-off points to categorize fatigue levels. Cox proportional hazards analysis was performed to assess the association between fatigue severity and survival.


RESULTS
Increased fatigue levels were associated with greater symptom distress and decreased quality of life. A model with usual fatigue cut-off points of 0 (no fatigue), 1-2 (mild fatigue), 3-6 (moderate fatigue), and 7-10 (severe fatigue) was optimal in relation to functional interference items (Wilks lambda, 0.36; F = 11.61; P < 0.0001), symptom distress scores (Wilks lambda, 0.52; F = 10.41; P < 0.0001), and quality-of-life scores (Wilks lambda, 0.50; F = 0.50; P < 0.0001). Fatigue severity predicted survival in univariate analysis (chi-square test, 25.42; P < 0.0001). The KPS, stage of disease, and number of symptoms independently predicted survival in patients with fatigue.


CONCLUSIONS
Clinically relevant fatigue levels are correlated with symptom and quality-of-life measurements. Patients with a usual fatigue severity > 3 or a worst fatigue severity > 4 on a 1-10 scale may require further assessment.
Hwang
Shirley S
SS
Section Hematology/Oncology (111), Veterans Administration New Jersey Health Care System at East Orange, East Orange, New Jersey 07109, USA. shirley.hwang@med.va.gov
Chang
Victor T
VT
Cogswell
Janet
J
Kasimis
Basil S
BS
D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D005221:Fatigue / Q000503:physiopathology*; D006787:Hospitals, Veterans; D006801:Humans; D008875:Middle Aged; D015999:Multivariate Analysis; D009369:Neoplasms / Q000401:mortality / Q000503:physiopathology*; D016016:Proportional Hazards Models; D011446:Prospective Studies; D011788:Quality of Life; D012720:Severity of Illness Index