Clinical relevance of fatigue levels in cancer patients at a veterans administration medical center
Clinical relevance of fatigue levels in cancer patients at a veterans administration medical center
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DOI：
10.1002/cncr.10507
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发表时间：
2002-05-01
期刊：
影响因子：
6.2
通讯作者：
Kasimis, BS
中科院分区：
文献类型：
--
作者：
Hwang, SS;Chang, VT;Kasimis, BS
疲劳水平与功能干扰、症状困扰和生活质量的相关性可能有助于确定临床上显著的疲劳水平。180名连续的癌症患者完成了癌症治疗的功能评估（FACT）一般和疲劳子量表（分别为FACT-G和FACT-F）、记忆症状评估量表-简表（MSAS-SF）、抑郁量表（Zung）和简短疲劳量表（BFI）。测定每例患者的Karnofsky体力状态（KPS）。进行了多变量方差分析，以比较具有不同临界点的疲劳模型，从而对疲劳水平进行分类。进行考克斯比例风险分析，以评估疲劳严重度和生存率之间的相关性。疲劳水平的增加与更大的症状困扰和生活质量的下降有关，一个模型的疲劳临界点为0（无疲劳），1 - 2（轻度疲劳），3 - 6（中度疲劳）和7 - 10（严重疲劳）与功能性干扰项目相关的vas最佳（Wilks λ，0.36; F = 11.61; P <0.0001），症状困扰评分（Wilks λ，0.52; F = 10.41; P <0.0001）和生活质量评分（Wilks A，0.50; F = 0.50; P <0.0001）。单因素分析显示疲劳程度预测生存率（卡方检验，25，42; P <0.0001）。KPS评分、疾病分期和症状数量独立预测疲劳患者的生存率。临床相关疲劳水平与症状和生活质量测量相关。在1 - 10量表上，通常疲劳严重度> 3或最差疲劳严重度> 4的患者可能需要进一步评估。(C)2002年美国癌症协会。
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) vas 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) vas 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 A, 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. (C) 2002 American Cancer Society.