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Open Access Article

Journal of Advances in Clinical Nursing. 2026; 5: (4) ; 170-172 ; DOI: 10.12208/j.jacn.20260219.

Construction of risk early-warning model for postoperative lymphedema in breast cancer patients and research on hierarchical prevention strategy
乳腺癌术后淋巴水肿风险预警模型的构建及分级预防策略研究

作者: 姜奎 *

江阴市中医院 江苏江阴

*通讯作者: 姜奎,单位:江阴市中医院 江苏江阴 ;

发布时间: 2026-04-24 总浏览量: 75

摘要

目的 构建乳腺癌术后淋巴水肿风险预警模型的构建及分级预防策略研究。方法 选取2024年3月-2025年3月我院收治的60例乳腺癌手术患者,采用回顾性分析结合前瞻性随访的方法,通过单因素Logistic回归筛选乳腺癌术后淋巴水肿的相关危险因素,经多因素Logistic回归构建风险预警模型并验证其效能,依据模型风险评分制定分级预防策略,比较不同风险等级患者的淋巴水肿发生率。结果 60例构建的风险预警模型预测效能良好(AUC=0.892,95%CI:0.801~0.954,灵敏度83.33%,特异度85.71%。依据模型评分将患者分为低危(0~3分)、中危(4~6分)、高危(7~10分)三级,低危组22例、中危组25例、高危组13例。结论 本研究构建的乳腺癌术后淋巴水肿风险预警模型具有较高的预测效能,依据模型实施分级预防策略可针对性降低不同风险等级患者的淋巴水肿发生率,为临床乳腺癌术后淋巴水肿的精准防控提供了科学、可行的方法,值得临床推广应用。

关键词: 乳腺癌;术后淋巴水肿;风险预警模型;Logistic回归;分级预防;危险因素

Abstract

Objective To establish a risk early-warning model for postoperative lymphedema in breast cancer patients and study the hierarchical prevention strategy.
Methods 60 patients with breast cancer who were treated in our hospital from March 2024 to March 2025 were selected. A retrospective analysis combined with a prospective follow-up was conducted. Univariate Logistic regression was used to screen for risk factors related to lymphedema after breast cancer surgery. A risk early warning model was constructed using multivariate Logistic regression, and its effectiveness was verified. Graded prevention strategies were formulated according to the model risk score, and the incidence of lymphedema in patients with different risk levels was compared.
Results The risk warning model constructed for 60 cases had good predictive performance (AUC=0.892, 95% CI: 0.801-0.954, sensitivity 83.33%, specificity 85.71%). According to the model score, patients were divided into three levels: low-risk (0-3 points), moderate risk (4-6 points), and high-risk (7-10 points), with 22 cases in the low-risk group, 25 cases in the moderate risk group, and 13 cases in the high-risk group.
Conclusion   The risk early-warning model of postoperative lymphedema of breast cancer constructed in this study has a high predictive efficiency. The implementation of hierarchical prevention strategy based on the model can reduce the incidence of lymphedema in patients with different risk levels, which provides a scientific and feasible method for accurate prevention and control of postoperative lymphedema of breast cancer, and is worthy of clinical promotion and application.

Key words: Breast cancer; Postoperative lymphedema; Risk warning model; Logistic regression; Graded prevention; Risk factor

参考文献 References

[1] 张畅,徐媛.乳腺癌根治术病人术后上肢淋巴水肿风险预测模型的构建及验证[J].循证护理,2024,10(08):1505-1509.

[2] 马莹.护理风险预警监控预防乳腺癌患者术后并发上肢淋巴水肿的效果[J].辽宁医学杂志,2024,38(02):99-101.

[3] 王景信,马家惠,毛璐熙,等.乳腺癌术后淋巴水肿自我管理结合肌肉能量技术的临床实践与应用研究[J].中国医刊,2024,59(01):12-15.

[4] 李佩佩,张春梅,刘彦慧,等.乳腺癌术后淋巴水肿风险预测模型的系统评价[J].军事护理,2023,40(07):93-97.

[5] 杨美美,王海燕,郑彬洁,等.乳腺癌患者术后并发上肢淋巴水肿风险预警模型的建立[J].中国医刊,2022,57(06): 631-636.

[6] 张建微,林朝春,石灵芳.乳腺癌术后上肢淋巴水肿风险预测模型的构建及验证[J].中国现代医药杂志,2021, 23(10): 30-33.

[7] 刘凤.Bevilacqua乳腺癌术后淋巴水肿风险预测模型的验证研究[J].吉林医学,2021,42(08):1946-1947.

[8] 杜彦秋,管霞,常登峰,等.基于Bevilacqua模型的乳腺癌保乳术患者术后淋巴水肿风险预测的临床研究[J].中华普外科手术学杂志(电子版),2021,15(01):53-56.

[9] 赵慧朵,吴冰,车志英.乳腺癌术后上肢淋巴水肿的风险预测可视化模型构建与验证[J].实用临床医药杂志,2023, 27(24):30-36.

[10] 马珠月,孙莉,张园园,等.乳腺癌相关淋巴水肿风险感知与客观风险的一致性及影响因素分析[J].中国医药导报, 2024,21(28):11-16+24.

引用本文

姜奎, 乳腺癌术后淋巴水肿风险预警模型的构建及分级预防策略研究[J]. 临床护理进展, 2026; 5: (4) : 170-172.