This paper describes the demographic experience on 373 young cancer patients (less than 20 years of age) at two oncology centers initiated in Israel by one medical team in 1975-1977. These units are the Assaf Harofeh Medical Center (AHMC), which predominantly serves a Jewish population (103 cases);
Clinical relevance of fatigue levels in cancer patients at a Veterans Administration Medical Center
✍ Scribed by Shirley S. Hwang; Victor T. Chang; Janet Cogswell; Basil S. Kasimis
- Publisher
- John Wiley and Sons
- Year
- 2002
- Tongue
- English
- Weight
- 124 KB
- Volume
- 94
- Category
- Article
- ISSN
- 0008-543X
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
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 λ, 0.36; F = 11.61; P < 0.0001), symptom distress scores (Wilks λ, 0.52; F = 10.41; P < 0.0001), and quality‐of‐life scores (Wilks λ, 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. Cancer 2002;94:2481–9. © 2002 American Cancer Society.
DOI 10.1002/cncr.10507
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