An Analysis of Preoperative Inflammatory Indicators That Influence the Drainage Tube Retention Time in Patients with Breast Cancer Surgery

被引:0
|
作者
Li, Qi [1 ]
Gao, Cong [1 ]
Zhao, Xinrui [1 ]
Li, Jiahui [1 ]
Shen, Qinghong [1 ]
Chen, Li [2 ]
机构
[1] Chinese Acad Med Sci & Peking Union Med Coll, Natl Canc Ctr, Dept Breast Surg Oncol, Natl Clin Res Ctr Canc,Canc Hosp, Beijing 100021, Peoples R China
[2] Huazhong Univ Sci & Technol, Tongji Med Coll, Tongji Hosp, Dept Thyroid & Breast Surg, Wuhan 430030, Hubei, Peoples R China
来源
关键词
breast cancer; inflammatory indicator; drainage tube; operation; nutritional indicator; LYMPHOCYTE; ALBUMIN; THERAPY; INDEX;
D O I
10.2147/BCTT.S447933
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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.
引用
收藏
页码:91 / 103
页数:13
相关论文
共 50 条
  • [41] The Influence of Breast Density on Preoperative MRI Findings and Outcome in Patients with a Known Diagnosis of Breast Cancer
    Elder, Erin Alexa
    Ferlin, Alyssa
    Vallow, Laura A.
    Li, Zhuo
    Gibson, Tammeza C.
    Bagaria, Sanjay P.
    McLaughlin, Sarah A.
    ANNALS OF SURGICAL ONCOLOGY, 2017, 24 (10) : 2898 - 2906
  • [42] The Influence of Breast Density on Preoperative MRI Findings and Outcome in Patients with a Known Diagnosis of Breast Cancer
    Erin Alexa Elder
    Alyssa Ferlin
    Laura A. Vallow
    Zhuo Li
    Tammeza C. Gibson
    Sanjay P. Bagaria
    Sarah A. McLaughlin
    Annals of Surgical Oncology, 2017, 24 : 2898 - 2906
  • [43] The influence of breast density on preoperative MRI findings and outcome in patients with a known diagnosis of breast cancer
    Elder, E. Alexa
    Ferlin, Alyssa
    Vallow, Laura
    Li, Zhuo
    Gibson, Tammeza
    McLaughlin, Sarah
    ANNALS OF SURGICAL ONCOLOGY, 2017, 24 : 20 - 21
  • [44] Predictive Value of Inflammatory Indicators on the Efficacy of Preoperative Neoadjuvant Chemotherapy in Patients With Locally Advanced Rectal Cancer
    Jin, Zechuan
    Zhou, Dan
    Yang, Tinghan
    Wang, Ziqiang
    INTERNATIONAL JOURNAL OF CLINICAL PRACTICE, 2024, 2024
  • [45] Preoperative MRI in Patients with Locoregional Recurrent Breast Cancer: Influence on Treatment Modalities
    Oseledchyk, Anton
    Kaiser, Christina
    Nemes, Lisa
    Doebler, Michael
    Abramian, Alina
    Keyver-Paik, Mignon-Denise
    Leutner, Claudia
    Schild, Hans H.
    Kuhn, Walther
    Debald, Manuel
    ACADEMIC RADIOLOGY, 2014, 21 (10) : 1276 - 1285
  • [46] Influence of preoperative magnetic resonance imaging on the surgical management of breast cancer patients
    Parsyan, Armen
    Moldoveanu, Dan
    Balram, Bhairavi
    Wong, Stephanie
    Zhang, David Dong Qi
    Svadzian, Anita
    Allard-Coutu, Alexandra
    Delisle, Megan
    Mesurolle, Benoit
    Meterissian, Sarkis
    AMERICAN JOURNAL OF SURGERY, 2016, 211 (06): : 1089 - 1094
  • [47] Influence of preoperative Magnetic Resonance Imaging on the Surgical Management of Breast Cancer Patients
    Parsyan, A.
    Balram, B.
    Moldoveanu, D.
    Wong, S.
    Svadzian, A.
    Zhang, D.
    Delisle, M.
    Allard-Coutu, A.
    Mesurolle, B.
    Meterissian, S.
    ANNALS OF SURGICAL ONCOLOGY, 2015, 22 : S52 - S53
  • [48] Preliminary META Analysis of Influence of Psychological Interventions on Breast Cancer Patients' Survival Time
    Zheng, Bo
    Du, Pei Xin
    Liu, Jie
    Zeng, Zhi
    Yi, Ting-wu
    Luo, Di
    Deng, Yao-tiao
    Jiang, Yu
    PSYCHO-ONCOLOGY, 2018, 27 : 153 - 153
  • [49] Perioperative genetic testing and time to surgery in patients with breast cancer
    Wu, Vincent
    Chichura, Anna M.
    Dickard, Jennifer
    Turner, Christine
    Al-Hilli, Zahraa
    SURGERY, 2024, 175 (03) : 712 - 717
  • [50] Time to surgery: A health equity metric in breast cancer patients
    Chen, Ya-Wen
    Kim, Tommy
    Specht, Michelle C.
    Gadd, Michele A.
    Smith, Barbara L.
    Chang, David C.
    Oseni, Tawakalitu O.
    AMERICAN JOURNAL OF SURGERY, 2023, 226 (04): : 432 - 437