Mei-Ling Chen1, Li-Ni Liu2, Christine Miaskowski3, Shin-Cheh Chen4, Yung-Chang Lin5, Jong-Shyan Wang6. 1. 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. 2. Department of Nursing, Fu Jen Catholic University, New Taipei City, Taiwan. 3. Department of Physiological Nursing, School of Nursing, University of California, San Francisco, CA, USA. 4. Department of Surgery, Chang Gung Memorial Hospital and School of Medicine, College of Medicine, Chang Gung University, Tao-Yuan, Taiwan. 5. Department of Internal Medicine, Chang Gung Memorial Hospital and School of Medicine, College of Medicine, Chang Gung University, Tao-Yuan, Taiwan. 6. Department of Rehabilitation Sciences, College of Medicine, Chang Gung University, Tao-Yuan, Taiwan.
Abstract
PURPOSE: Higher 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. METHODS: Data 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. RESULTS: We 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). CONCLUSIONS: Breast 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.
PURPOSE: Higher 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 cancerpatients based on their presurgical symptom profiles and to examine the predictive effect of group membership on QOL 2 years after surgery. METHODS: Data 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. RESULTS: We 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). CONCLUSIONS:Breast cancerpatients' 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.
Entities:
Keywords:
Breast cancer; Classification; Quality of life; Symptom burden; Symptom profiles
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