Fengjiao Chen1, Yamei Leng1, Jingyao Ni1, Ting Niu2, Li Zhang2, Jiping Li3, Yuhuan Zheng4. 1. Department of Hematology, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, #37 Guo Xue Xiang Street, Chengdu, 610041, China. 2. Department of Hematology, West China Hospital, Sichuan University, #37 Guo Xue Xiang Street, Chengdu, 610041, China. 3. Department of Nursing, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, #37 Guo Xue Xiang Street, Chengdu, 610041, China. jp-li@163.com. 4. Department of Hematology, West China Hospital, Sichuan University, #37 Guo Xue Xiang Street, Chengdu, 610041, China. zhengyuhuan@scu.edu.cn.
Abstract
PURPOSE: The aim of this study was to investigate symptom clusters and associated clinical factors in ambulatory multiple myeloma patients undergoing medication therapy. We also aimed to determine the correlations between symptom clusters and patient quality of life. METHODS: A total of 174 multiple myeloma patients hospitalized in the haematology day unit were included in this study. A cross-sectional survey was conducted to examine symptoms and quality of life. Symptoms were assessed by the Chinese version of the Condensed Memorial Symptom Assessment Scale. Quality of life was measured with the Functional Assessment of Cancer Therapy-General. Principal component analysis was used to identify symptom clusters. Independent-samples t tests and chi-square tests were used for comparisons between groups. Spearman's rank correlation analysis was used to identify correlations. RESULTS: We identified three symptom clusters in multiple myeloma patients: psychological; pain, dry mouth, and difficulty sleeping; and fatigue symptom cluster. For each symptom cluster, the patients could be categorized into a severe-symptom group or a mild-symptom group based on the distress of symptoms. The patients in each group exhibited differential demographic and clinical features. Symptom cluster distress was adversely correlated with patients' quality of life. CONCLUSIONS: Ambulatory multiple myeloma patients undergoing anticancer medication therapy experience multiple symptoms, which can be categorized into three symptom clusters. For each symptom cluster, level of distress was associated with patients' demographic and clinical characteristics. The presence and level of distress of these symptom clusters have adverse impacts on patients' quality of life.
PURPOSE: The aim of this study was to investigate symptom clusters and associated clinical factors in ambulatory multiple myeloma patients undergoing medication therapy. We also aimed to determine the correlations between symptom clusters and patient quality of life. METHODS: A total of 174 multiple myeloma patients hospitalized in the haematology day unit were included in this study. A cross-sectional survey was conducted to examine symptoms and quality of life. Symptoms were assessed by the Chinese version of the Condensed Memorial Symptom Assessment Scale. Quality of life was measured with the Functional Assessment of Cancer Therapy-General. Principal component analysis was used to identify symptom clusters. Independent-samples t tests and chi-square tests were used for comparisons between groups. Spearman's rank correlation analysis was used to identify correlations. RESULTS: We identified three symptom clusters in multiple myeloma patients: psychological; pain, dry mouth, and difficulty sleeping; and fatigue symptom cluster. For each symptom cluster, the patients could be categorized into a severe-symptom group or a mild-symptom group based on the distress of symptoms. The patients in each group exhibited differential demographic and clinical features. Symptom cluster distress was adversely correlated with patients' quality of life. CONCLUSIONS: Ambulatory multiple myeloma patients undergoing anticancer medication therapy experience multiple symptoms, which can be categorized into three symptom clusters. For each symptom cluster, level of distress was associated with patients' demographic and clinical characteristics. The presence and level of distress of these symptom clusters have adverse impacts on patients' quality of life.
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