临床外科杂志 ›› 2025, Vol. 33 ›› Issue (7): 722-.doi: 10.3969/j.issn.1005-6483.20240558

• 论著 • 上一篇    下一篇

乳腺癌术后切口愈合不良的影响因素分析

朱旭冉 张博林 杨颜齐 努尔班努·塔布斯别克 邵国安 陈述   

  1. 830000 乌鲁木齐,新疆医科大学第五临床医学院甲乳外科(朱旭冉、 努尔班努·塔布斯别克、邵国安、陈述),肝胆胰腺外科(张博林);营口市中心医院普外科(杨颜齐);新疆医科大学附属中医医院普外二科(陈述)
  • 收稿日期:2024-04-15 出版日期:2025-07-20 发布日期:2025-07-20

Analysis of factors affecting poor incision healing after breast cancer surgery

ZHU Xuran*,ZHANG Bolin,Yang Yanqi,Nuerbannu·Tabusibieke,SHAO Guoan,CHEN Shu   

  1. *Department of Thyroid and Breast Surgery,Fifth Clinical Medical College,Xinjiang Medical University,Urumq 830000,China
  • Received:2024-04-15 Online:2025-07-20 Published:2025-07-20

摘要: 目的 分析乳腺癌术后切口愈合不良的影响因素。 方法 2016年1月~2023年12月诊断为乳腺癌且行手术治疗的病人150例,根据术后切口的愈合情况分为愈合良好组(94例)和愈合不良组(56例)。对两组病人一般资料、手术相关资料、临床病理特征资料进行单因素分析,将单因素分析具有统计学意义的指标进行多因素Logistic回归分析,筛选术后切口愈合不良的危险因素。对回归分析有统计学意义的指标采用受试者工作特征(ROC)曲线,分析其在乳腺癌术后切口愈合不良中的预测价值。结果 多因素Logistic回归分析显示,身体质量指数(BMI) 、糖尿病、年龄 、腋窝淋巴结清扫、血红蛋白是术后切口愈合不良的独立影响因素(P<0.05)。对独立影响因素进行ROC曲线分析,结果显示,年龄>57.5岁时,其曲线下面积(AUC)=0.635,灵敏度55.4%,特异度68.1%,临界值为57.5岁。BMI>24.9kg/m2时,其曲线下面积(AUC)=0.735,灵敏度87.5%,特异度 61.7%,临界值为24.9。血红蛋白<101.5g/L时,其AUC=0.829,灵敏度57.1%,特异度94.7%,临界值为101.5g/L,P<0.001。结论 BMI、糖尿病、血红蛋白、年龄、腋窝淋巴结清扫是乳腺癌术后切口愈合不良的独立影响因素,且当病人术前BMI>24.9kg/m2,年龄>57.5岁,血红蛋白<101.5g/L时,对乳腺癌病人术后切口愈合不良的发生具有早期预测作用。

关键词: 乳腺癌, 手术, 切口, 愈合不良, 影响因素

Abstract: Objective To analyze the influencing factors of poor incision healing in postoperative patients with breast cancer.Methods The clinical data of 150 patients with breast cancer diagnosed by the Department of Nail Milk surgery of the Fifth affiliated Hospital of Xinjiang Medical University from January 2016 to December 2023 were retrospectively analyzed.According to the postoperative wound healing,the patients were divided into two groups:good healing group (n=94) and poor healing group (n=56).The general data,operation-related data and clinicopathological characteristics of the two groups were collected for univariate analysis,and the single-factor indexes with statistical significance were analyzed by multivariate Logistic analysis to screen the risk factors of poor incision healing after operation.The statistically significant indexes of regression analysis were analyzed by receiver operating characteristic (ROC) curve to further explore its predictive value in poor incision healing after breast cancer operation.Results The data of the two groups were compared and analyzed.Multivariate Logistic regression analysis showed that BMI,diabetes,age,axillary lymph node dissection and hemoglobin were independent risk factors for poor incision healing(P<0.05).ROC curve analysis of independent risk factors showed that when the age was more than 57.5,the area under the curve (AUC) was 0.635,the sensitivity was 55.4%,the specificity was 68.1%,and the critical value was 57.5.When BMI>24.9kg/m2,the area under the curve (AUC) was 0.735,the sensitivity was 87.5%,the specificity was 61.7%,and the critical value was 24.9 (P<0.001).When hemoglobin<101.5g/L,the area under the curve (AUC) was 0.829,the sensitivity was 57.1%,the specificity was 94.7%,and the critical value was 101.5g/L (P<0.001).Conclusion BMI,diabetes,hemoglobin,age and axillary lymph node dissection are independent risk factors for poor wound healing after breast cancer operation.When BMI>24.9kg/m2,age>57.5 years old and hemoglobin<101.5g/L,it can predict the occurrence of poor incision healing in patients with breast cancer.

Key words: breast cancer, surgery, incision, poor healing, influencing factors

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