Mota Dálete Delalibera Corrêa de Faria, Pimenta Cibele Andrucioli de Mattos, Caponero Ricardo
Faculdade de Enfermagem, Universidade Federal de Goiás, Brazil.
Rev Lat Am Enfermagem. 2012 May-Jun;20(3):495-503. doi: 10.1590/s0104-11692012000300010.
This study identified the prevalence and predictors of fatigue in colorectal cancer (CRC) patients. Cross-sectional study with 157 adult CRC outpatients (age 60±11.7 years; 54% male; cancer stage IV 44.8%). The Piper Fatigue Scale-revised was used to assess fatigue scores. Socio-demographic, clinical, depression, performance status, pain and sleep disturbance data were assessed. Associations between fatigue and these data were analyzed through logistic regression models. Fatigue was reported by 26.8% patients. Logistic regression identified three predictors: depression (OR: 4.2; 95%CI 1.68-10.39), performance status (OR: 3.2; 95%CI 1.37-7.51) and sleep disturbance (OR: 3.2; 95%CI 1.30-8.09). When all predictors were present, the probability of fatigue occurrence was 80%; when none were present, the probability was 8%. The model's specificity and sensitivity were 81.9% and 58.6%, respectively. Through the assessment of depression, performance status and sleep disturbance, the probability of fatigue occurrence can be estimated, and preventive and treatment strategies can be rapidly implemented in clinical practice.
本研究确定了结直肠癌（CRC）患者疲劳的患病率及预测因素。对157例成年CRC门诊患者进行横断面研究（年龄60±11.7岁；男性占54%；癌症IV期占44.8%）。采用修订的派珀疲劳量表评估疲劳得分。评估了社会人口统计学、临床、抑郁、体能状态、疼痛及睡眠障碍数据。通过逻辑回归模型分析疲劳与这些数据之间的关联。26.8%的患者报告有疲劳。逻辑回归确定了三个预测因素：抑郁（比值比：4.2；95%置信区间1.68 - 10.39）、体能状态（比值比：3.2；95%置信区间1.37 - 7.51）和睡眠障碍（比值比：3.2；95%置信区间1.30 - 8.09）。当所有预测因素都存在时，疲劳发生的概率为80%；当所有预测因素都不存在时，概率为8%。该模型的特异性和敏感性分别为81.9%和58.6%。通过评估抑郁、体能状态和睡眠障碍，可以估计疲劳发生的概率，并在临床实践中迅速实施预防和治疗策略。
