Chen Ren-Wang, Wang Qiong, Hu Ting, Xie Yu-Xiu, Chang Hai-Yan, Cheng Jing
Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Curr Med Sci. 2022 Apr;42(2):426-433. doi: 10.1007/s11596-022-2544-1. Epub 2022 Mar 21.
To validate and use the Chinese Version of the M. D. Anderson Symptom Inventory (MDASI-C) to assess the symptom burden of breast cancer patients in China.
A total of 342 breast cancer patients in China participated in this study. Their symptoms were investigated with the MDASI-C from November 2020 to February 2021, and the reliability and validity of this tool were evaluated, respectively. Cluster analysis and correlation analysis were also performed.
The Cronbach's alpha coefficient values of the symptom and interference items were 0.827 and 0.880, respectively. Construct validity revealed a four-factor structure. The Kaiser-Meyer-Olkin value was 0.760. The Karnofsky Performance Status, treatment phase, and cancer stage of the patients were grouped, and the differences of scores within the groups were significant. In addition, the employment status, education level, and age of the patients were significantly correlated with the symptoms. The correlation analysis of the education level of the patients showed that most of the symptoms and interference items were reduced as the education level was increased. The top three symptoms were disturbed sleep (3.10±2.52), difficulty remembering (2.54±2.30), and fatigue (2.24±2.13). The clinical and biochemical indicators such as body mass index and neutral granulocyte lymphocyte ratio had effects on many symptoms. As the patients' BMI increased, the patients' pain, disturbed sleep, and difficulty remembering were aggravated, and numbness was alleviated.
The MDASI-C is a reliable and effective assessment tool to evaluate patients with breast cancer in China. The symptoms are related to many clinical and biochemical indicators.
验证并使用中文版安德森症状量表（MDASI-C）评估中国乳腺癌患者的症状负担。
共有342名中国乳腺癌患者参与本研究。于2020年11月至2021年2月使用MDASI-C对其症状进行调查，并分别评估该工具的信效度。同时进行聚类分析和相关性分析。
症状条目和干扰条目的Cronbach's α系数值分别为0.827和0.880。结构效度显示为四因素结构。Kaiser-Meyer-Olkin值为0.760。对患者的卡氏功能状态、治疗阶段和癌症分期进行分组，组内得分差异有统计学意义。此外，患者的就业状况、教育水平和年龄与症状显著相关。患者教育水平的相关性分析表明，随着教育水平提高，大多数症状和干扰条目减轻。排名前三的症状为睡眠障碍（3.10±2.52）、记忆力减退（2.54±2.30）和疲劳（2.24±2.13）。体重指数和中性粒细胞淋巴细胞比值等临床和生化指标对多种症状有影响。随着患者BMI增加，疼痛、睡眠障碍和记忆力减退加重，麻木减轻。
MDASI-C是评估中国乳腺癌患者的可靠有效工具。症状与多种临床和生化指标相关。
