• Support Care Cancer · Jan 2016

    Presurgical symptom profiles predict quality of life 2 years after surgery in women with breast cancer.

    • Mei-Ling Chen, Li-Ni Liu, Christine Miaskowski, Shin-Cheh Chen, Yung-Chang Lin, and Jong-Shyan Wang.
    • Graduate Institute of Nursing, College of Medicine, Chang Gung University, 259 Wen-Hwa 1st Road, Kwei-Shan, Tao-Yuan, Taiwan. mechenl@mail.cgu.edu.tw.
    • Support Care Cancer. 2016 Jan 1; 24 (1): 243-251.

    PurposeHigher symptom burden in oncology patients is associated with poorer quality of life (QOL). However, the long-term predictive relationship between pre-treatment symptom profiles and QOL is unknown. The aim of this study was to identify subgroups of breast cancer patients based on their presurgical symptom profiles and to examine the predictive effect of group membership on QOL 2 years after surgery.MethodsData were analyzed from a longitudinal study of women's (N = 198) symptoms after breast cancer surgery. Patient subgroups were identified by latent class analysis based on presurgical severity of five symptoms (i.e., attentional and physical fatigue, sleep disturbance, depression, and anxiety). Among these 198 women, quality of life 2 years after surgery was available for 97. Group differences in QOL were examined by general linear models.ResultsWe identified four distinct patient groups. Group A (All Low) had low levels of all symptoms. Group B (Low Fatigue and Moderate Mood) was characterized by low attentional and physical fatigue but moderate sleep disturbance, depression, and anxiety. Group C (All Moderate) was characterized by moderate levels of all five symptoms. Group D was characterized by moderate attentional and physical fatigue and severe sleep disturbance, depression, and anxiety (Moderate Fatigue and High Mood). Group D had significantly lower overall QOL scores 2 years after surgery than Group A (p = 0.002).ConclusionsBreast cancer patients' presurgical symptom profile had a long-term predictive effect on QOL. Routine assessment of patients' pre-treatment symptom is suggested to identify high risk group.

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