Li Fenglian, Lu Qian, Jin Sanli, Zhao Quanping, Qin Xueying, Jin Shuai, Zhang Lichuan
Division of Medical & Surgical Nursing, School of Nursing, Peking University, Beijing, China.
Department of Breast Surgery, Peking University People's Hospital, Beijing, China.
Int J Nurs Sci. 2019 Dec 14;7(1):21-28. doi: 10.1016/j.ijnss.2019.12.007. eCollection 2020 Jan 10.
We aimed to establish a scoring system to predict the risk of breast cancer-related lymphedema.
From April 2017 to December 2018, 533 patients who previously underwent surgery for breast cancer were enrolled in this cross-sectional study. Univariate analysis was performed to explore and define the risk factors. A scoring system was then established on the basis of odds ratio values in the regression analysis.
The additive scoring system values ranged from 6 to 22. The receiver operating characteristic (ROC) curve of this scoring system showed a sensitivity and specificity of 83.3% and 57.3%, respectively, to predict the risk of lymphedema at a cut-off of 15.5 points; the area under the curve was 0.736 (95% confidence interval: 0.662-0.811), with = 5.134 ( = 0.274) for the Hosmer-Lemeshow test.
The predictive efficiency and accuracy of the scoring system were acceptable, and the system could be used to predict and screen groups at high risk for breast cancer-related lymphedema.
我们旨在建立一个评分系统来预测乳腺癌相关淋巴水肿的风险。
2017年4月至2018年12月，533例先前接受过乳腺癌手术的患者被纳入这项横断面研究。进行单因素分析以探索和确定风险因素。然后根据回归分析中的比值比建立评分系统。
相加评分系统值范围为6至22。该评分系统的受试者工作特征（ROC）曲线显示，在截断值为15.5分时，预测淋巴水肿风险的灵敏度和特异度分别为83.3%和57.3%；曲线下面积为0.736（95%置信区间：0.662 - 0.811），Hosmer-Lemeshow检验的χ² = 5.134（P = 0.274）。
该评分系统的预测效率和准确性是可接受的，可用于预测和筛查乳腺癌相关淋巴水肿的高危人群。
