scholarly journals Risk factors of catheter-related thrombosis in early-stage breast cancer patients: a single-center retrospective study

2019 ◽  
Vol Volume 11 ◽  
pp. 8379-8389 ◽  
Author(s):  
Luyuan Tan ◽  
Ya Sun ◽  
Liling Zhu ◽  
Xin Lei ◽  
Dongya Liang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Retrospective Study ◽  
Cancer Patients ◽  
Early Stage ◽  
Early Stage Breast Cancer ◽  
Breast Cancer Patients ◽  
Single Center ◽  
Catheter Related Thrombosis

Cardiovascular risk profile of breast cancer patients treated with anthracycline-taxane containing adjuvant chemotherapy and/or trastuzumab

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 666-666 ◽  
Author(s):  
L. W. Jones ◽  
M. Haykowsky ◽  
C. J. Peddle ◽  
A. A. Joy ◽  
E. N. Pituskin ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Adjuvant Chemotherapy ◽  
Cancer Patients ◽  
Sinus Tachycardia ◽  
Early Stage ◽  
Early Stage Breast Cancer ◽  
Breast Cancer Patients ◽  
Cvd Risk Factors ◽  
Cvd Risk

666 Background: With improving longevity, post-treatment cardiovascular disorders will become an increasingly important indicator of competing mortality in early-stage breast cancer. As such, we conducted a pilot study to comprehensively evaluate the CVD profile of a subset of early-stage breast cancer patients treated with adjuvant taxane-anthracycline containing chemotherapy and/or trastuzumab. Methods: Twenty-six breast cancer patients (mean 20 months post chemotherapy) who participated in Breast Cancer International Research Group 006 clinical trial and 10 healthy age-matched women were studied. We measured 14 metabolic and vascular established CVD risk factors, BMI, VO2peak and left ventricular systolic function. All assessments were performed within a 14-day period. Results: Cardiac abnormalities were suggested by LVEF <50% in 10% of patients, LVEF remained >10% below pre-treatment values in 38% while 50% presented with resting sinus tachycardia. BNP was significantly elevated in 40% and was correlated with LVEF (r = -0.72, p=<.001). For the majority of CVD risk factors, similar proportions of patients and controls (35% to 60%) were classified as ‘undesirable.’ A significantly higher proportion of patients were classified with low VO2peak (46% vs. 0%, p<0.01), being overweight/obese (72% vs. 50%, p<0.05), and having resting sinus tachycardia (50% vs. 0%, p<0.01) compared with controls. VO2peak and BMI were correlated with CV risk factors (r = -0.64 to 0.63, p<0.05; r = -0.63 to 0.67, p<0.05, respectively). Exploratory analyses revealed several differences between CVD risk factors based on chemotherapy regimen. Conclusions: Breast cancer survivors treated with adjuvant chemotherapy are at a higher risk of developing late-occurring CVD than age matched controls due to direct and indirect treatment-related toxicity. No significant financial relationships to disclose.

scholarly journals Omitting ALND Is Not Safe for a Cohort of Early-Stage Breast Cancer Patients with 1-2 SLNs Macro-Metastases and BreastConserving Therapy: A Single-Center Retrospective Study

2020 ◽  
Author(s):  
Xiangyu WANG ◽  
Yinqi GAO ◽  
Xue YANG ◽  
Xiangyi KONG ◽  
Zixing WANG ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Retrospective Study ◽  
Predictive Model ◽  
Cancer Patients ◽  
Early Stage ◽  
Area Under The Curve ◽  
Breast Conserving Therapy ◽  
Early Stage Breast Cancer ◽  
Axillary Lymph ◽  
Breast Cancer Patients

Background: Omitting axillary lymph node dissection (ALND) is recommended for early-stage breast cancer patients with 1-2 sentinel lymph nodes (SLNs) macro-metastases and breast-conserving therapy. However, it is not safe for part of patients, so it is significant to find risk factors and develop a predictive model of non-SLNs metastases in breast cancer patients with 1-2 SLNs macro-metastases and breast-conserving therapy. Methods: This retrospective study enrolled 228 breast cancer patients with 1-2 SLNs macro-metastases who underwent ALND and breast-conserving surgery between Jan 2012 and Dec 2017 at Cancer Hospital Chinese Academy of Medical Sciences. Chi-square test and backward stepwise binary logistic regression were used to find factors that influenced non-SLN metastases, then a predictive model was formulated and obtained its area under the curve. Results: Tumor pathologic invasion size, number of positive SLNs and ALN status on imaging was associated with non-SLNs metastases. The predictive model was also formulated based on these three factors to assess and the area under the curve of model was 0.708. Conclusion: We developed a predictive model to assess the high-risk cohort of patients of non-SLNs metastases which can be an auxiliary tool for doctors.

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