Li Qi, Gao Cong, Zhao Xinrui, Li Jiahui, Shen Qinghong, Chen Li
Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, People's Republic of China.
Department of Thyroid and Breast Surgery, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People's Republic of China.
Breast Cancer (Dove Med Press). 2024 Mar 6;16:91-103. doi: 10.2147/BCTT.S447933. eCollection 2024.
The study was aimed to investigate the influence factor between preoperative inflammatory indicators and drainage tube retention time in patients with breast cancer.
This retrospective study enrolled 121 patients with breast cancer who were undergoing surgery between October 2020 and June 2021. The enumeration data were used the Chi-square test, and the measurement data were used the -test analysis. The univariate and multivariate logistic regression models were performed to access the risk factors for affecting drainage tube retention time in patients with breast cancer. The receiver operating characteristic curve (ROC) was performed to test the prediction effect of the model.
Through the median extraction time of postoperative drainage tube retention time, all patients were divided into two groups: drainage tube retention time (DTRT) < 13 (d) and drainage tube retention time (DTRT) ≥ 13 (d). The results showed that type of surgery, total lymph nodes (TLN), pathological T stage, NLR were related to the drainage tube retention time (P<0.05). Moreover, the univariate and multivariate logistic regression analysis performed that Hb, type of surgery, pathological T stage, chest wall drainage tube, NRI were the independent risk predictors of affecting drainage tube retention time. Furthermore, a significant correlation existed between NRI and drainage tube retention at different times (P < 0.05).
NRI is an independent risk factor for postoperative drainage tube extraction time and can effectively predict the probability of drainage tube retention time. Thus, it can also provide personalized nursing intervention for patients with breast cancer after drainage tube retention time and the rehabilitation process.
本研究旨在探讨乳腺癌患者术前炎症指标与引流管留置时间之间的影响因素。
本回顾性研究纳入了2020年10月至2021年6月期间接受手术的121例乳腺癌患者。计数资料采用卡方检验，计量资料采用t检验分析。采用单因素和多因素logistic回归模型分析影响乳腺癌患者引流管留置时间的危险因素。采用受试者工作特征曲线（ROC）检验模型的预测效果。
通过术后引流管留置时间的中位数提取时间，将所有患者分为两组：引流管留置时间（DTRT）<13天和引流管留置时间（DTRT）≥13天。结果显示，手术方式、总淋巴结数（TLN）、病理T分期、中性粒细胞与淋巴细胞比值（NLR）与引流管留置时间有关（P<0.05）。此外，单因素和多因素logistic回归分析表明，血红蛋白（Hb）、手术方式、病理T分期、胸壁引流管、中性粒细胞与红细胞比值（NRI）是影响引流管留置时间的独立风险预测因素。此外，NRI与不同时间的引流管留置之间存在显著相关性（P<0.05）。
NRI是术后引流管拔除时间的独立危险因素，可有效预测引流管留置时间的概率。因此，它还可以为乳腺癌患者引流管留置时间及康复过程提供个性化的护理干预。
