PURPOSE Sleep disturbance and cancer-related fatigue (CRF) are among the most commonly reported symptoms associated with breast cancer and its treatment. This study identified symptom cluster groups of breast cancer patients based on multidimensional assessment of sleep disturbance and CRF prior to and during chemotherapy. METHODS Participants were 152 women with stage I-IIIA breast cancer. Data were collected before chemotherapy (T1) and during the final week of the fourth chemotherapy cycle (T2). Latent profile analysis was used to derive groups of patients at each timepoint who scored similarly on percent of the day/night asleep per actigraphy, the Pittsburgh Sleep Quality Index global score, and the five subscales of the Multidimensional Fatigue Symptom Inventory-Short Form. Bivariate logistic regression evaluated if sociodemographic/medical characteristics at T1 were associated with group membership at each timepoint. RESULTS Three groups (Fatigued with sleep complaints, Average, Minimal symptoms) were identified at T1, and five groups (Severely fatigued with poor sleep, Emotionally fatigued with average sleep, Physically fatigued with average sleep, Average, Minimal symptoms) at T2. The majority of individuals in a group characterized by more severe symptoms at T1 were also in a more severe symptom group at T2. Sociodemographic/medical variables at T1 were significantly associated with group membership at T1 and T2. CONCLUSIONS This study identified groups of breast cancer patients with differentially severe sleep disturbance and CRF symptom profiles prior to and during chemotherapy. Identifying groups with different symptom management needs and distinguishing groups by baseline sociodemographic/medical variables can identify patients at risk for greater symptom burden.

中文翻译：

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接受化疗的乳腺癌患者的睡眠障碍和癌症相关的疲劳症状群。

目的睡眠障碍和癌症相关的疲劳（CRF）是与乳腺癌及其治疗相关的最常报告的症状。这项研究基于对化疗前和化疗期间睡眠障碍和CRF的多维评估，确定了乳腺癌患者的症状群组。方法参加者为152名I-IIIA期乳腺癌女性。在化疗之前（T1）和第四个化疗周期的最后一周（T2）收集数据。潜在特征分析用于得出每个时间点的患者群体，这些患者群体在每个书法上白天/晚上的睡眠百分比，匹兹堡睡眠质量指数整体得分以及多维疲劳症状库存量-简短表格的五个子量表的得分相似。在每个时间点，T1的社会人口统计学/医学特征是否与组成员身份相关联，通过双变量逻辑回归进行评估。结果在T1时确定了三组（对睡眠有抱怨，平均，最小症状），而在T2被确定为五组（严重疲倦，睡眠不良，情绪疲倦，平均睡眠，身体疲劳，平均睡眠，平均，最小症状）。在T1症状更严重的一组患者中，大多数在T2症状也更严重。T1的社会人口统计学/医学变量与T1和T2的组成员关系显着相关。结论本研究确定了在化疗之前和期间患有严重差异性睡眠障碍和CRF症状特征的乳腺癌患者组。