影响乳腺癌手术患者引流管留置时间的术前炎症指标分析

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-03-06 eCollection Date: 2024-01-01 DOI:10.2147/BCTT.S447933
Qi Li, Cong Gao, Xinrui Zhao, Jiahui Li, Qinghong Shen, Li Chen
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引用次数: 0

摘要

目的: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:该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:该回顾性研究选取了在 2020 年 10 月至 2021 年 6 月期间接受手术治疗的 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。通过单变量和多变量逻辑回归模型,得出影响乳腺癌患者引流管留置时间的风险因素。对模型的预测效果进行接收者操作特征曲线(ROC)检验:通过术后引流管留置时间的中位提取时间,将所有患者分为两组:引流管留置时间(DTRT)<13(d)和引流管留置时间(DTRT)≥13(d)。结果显示,手术类型、总淋巴结(TLN)、病理 T 分期、NLR 与引流管保留时间(PConclusion:NRI是术后引流管拔出时间的独立危险因素,能有效预测引流管留置时间的概率。因此,它还能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。
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An Analysis of Preoperative Inflammatory Indicators That Influence the Drainage Tube Retention Time in Patients with Breast Cancer Surgery.

Objective: The study was aimed to investigate the influence factor between preoperative inflammatory indicators and drainage tube retention time in patients with breast cancer.

Methods: 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 t-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.

Results: 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).

Conclusion: 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.

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4.30%
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