Department of Physiological Nursing, University of California, 2 Koret Way - N631Y, San Francisco, CA, 94143-0610, USA.
School of Nursing, University of Pittsburgh, Pittsburg, PA, USA.
Support Care Cancer. 2021 Dec;29(12):7985-7998. doi: 10.1007/s00520-021-06410-7. Epub 2021 Jul 4.
The purpose was to model cognitive fatigue and evening physical fatigue together to determine subgroups of patients with distinct cognitive fatigue AND evening physical fatigue profiles. Once these profiles were identified, differences among the subgroups in demographic and clinical characteristics, co-occurring symptoms, and quality of life outcomes were evaluated.
Oncology patients (n = 1332) completed self-report measures of cognitive fatigue and evening physical fatigue, six times over two cycles of chemotherapy. Latent profile analysis, which combined the two symptom scores, was done to identify subgroups of patients with distinct cognitive fatigue AND evening physical fatigue profiles.
Three distinct profiles (i.e., Low [20.5%], Moderate [39.6%], and High [39.6%]) were identified. Compared to the Low class, patients in the High class were younger, female, and more likely to live alone and had a higher comorbidity burden and a lower functional status. In addition, these patients had a higher symptom burden and a poorer quality of life.
Based on clinically meaningful cutoff scores, 80% of the patients in this study had moderate to high levels of both cognitive fatigue and evening physical fatigue. In addition, these patients experienced high levels of other common symptoms (e.g., anxiety, depression, sleep disturbance, and pain). These co-occurring symptoms and other modifiable characteristics associated with membership in the Moderate and High classes may be potential targets for individualized symptom management interventions.
旨在联合建模认知疲劳和晚间体力疲劳，以确定具有不同认知疲劳和晚间体力疲劳特征的患者亚组。一旦确定了这些特征，就评估亚组在人口统计学和临床特征、共病症状和生活质量结果方面的差异。
肿瘤患者（n=1332）在两个化疗周期内完成了六次自我报告的认知疲劳和晚间体力疲劳的测量。采用潜在剖面分析将这两个症状评分结合起来，以确定具有不同认知疲劳和晚间体力疲劳特征的患者亚组。
确定了三个不同的特征（即低[20.5%]、中[39.6%]和高[39.6%]）。与低特征组相比，高特征组的患者年龄更小、女性更多，独居的可能性更高，共病负担更高，功能状态更低。此外，这些患者的症状负担更高，生活质量更差。
根据临床有意义的截断分数，本研究中的 80%的患者存在中高度的认知疲劳和晚间体力疲劳。此外，这些患者还经历着较高水平的其他常见症状（如焦虑、抑郁、睡眠障碍和疼痛）。这些共病症状和与中、高特征组相关的其他可改变特征可能是个体化症状管理干预的潜在目标。
