A Model to Assess the Risk of Peripherally Inserted Central Venous Catheter-related Thrombosis in Patients with Breast Cancer: A Retrospective Cohort Study

Abstract Purpose: Limited risk assessment tool to stratify the risk of PICC-related thrombosis (PICC-RVT) in breast cancer patients. This study developed a model to assess the risk of PICC-RVT in breast cancer patients. Methods: We conducted a retrospective cohort study of 1284 breast cancer patients receiving PICC insertion during 1 January 2015 - 31 August 2019 at a cancer specialized hospital in Hunan province, China. The entire population is divided into two groups at a ratio of 3:1 which included a derivation sample (n=978), and a validation sample (n=284). PICC-RVT was confirmed by ultrasonography in the presence of clinical symptoms and signs. Results: PICC-RVT occurred in 40 (4.09%) of the derivation sample patients. Multivariable analysis identified 9 variables: chronic obstructive pulmonary disease, prior central venous catheter placement, higher level of Platelets, higher level of D-dimer, lower level of Activated partial thromboplastin time, menopause, no prior breast surgery, upper extremity lymphedema, and endocrine therapy. Points were assigned to each variable according to regression coefficient. The model had an area under the receiver operating characteristics curve (AUC) of 0.850 (95% CI 0.776 to 0.924), The Hosmer-Lemeshow goodness of fit was 4.781 (p=0.572). At a cutoff value of 3.5, the sensitivity and specifcity were 75% and 83%, respectively.Conclusion: Several disease-specific factors of breast cancer (e.g., menopause, endocrine therapy and upper extremity lymphedema) play important roles in the development of PICC-RVT. Patients at higher PICC-RVT risk could be candidates for close post-insertion monitoring and interventions to prevent PICC-RVT.

Download Full-text

Prescription refill, patient self-report and physician report in assessing adherence to oral endocrine therapy in early breast cancer patients: a retrospective cohort study in Catalonia, Spain

British Journal of Cancer ◽

10.1038/bjc.2012.389 ◽

2012 ◽

Vol 107 (8) ◽

pp. 1249-1256 ◽

Cited By ~ 38

Author(s):

R Font ◽

J A Espinas ◽

M Gil-Gil ◽

A Barnadas ◽

B Ojeda ◽

...

Keyword(s):

Breast Cancer ◽

Cohort Study ◽

Cancer Patients ◽

Endocrine Therapy ◽

Retrospective Cohort Study ◽

Retrospective Cohort ◽

Self Report ◽

Breast Cancer Patients ◽

Prescription Refill ◽

Physician Report

Download Full-text

A model to assess the risk of peripherally inserted central venous catheter-related thrombosis in patients with breast cancer: a retrospective cohort study

Supportive Care in Cancer ◽

10.1007/s00520-021-06511-3 ◽

2021 ◽

Author(s):

Si-yi Peng ◽

Tao Wei ◽

Xu-ying Li ◽

Zhong Yuan ◽

Qin Lin

Keyword(s):

Breast Cancer ◽

Cohort Study ◽

Central Venous Catheter ◽

Retrospective Cohort Study ◽

Retrospective Cohort ◽

Venous Catheter ◽

Central Venous ◽

Catheter Related Thrombosis

Download Full-text

Knowing Cancer Diagnosis is a Protective Factor for the Survival of Patients With Breast Cancer : A Retrospective Cohort Study

10.21203/rs.3.rs-105383/v1 ◽

2020 ◽

Author(s):

Chen He ◽

Wenxi Zhu ◽

Yunxiang Tang ◽

Yonghai Bai ◽

Zheng Luo ◽

...

Keyword(s):

Breast Cancer ◽

Cohort Study ◽

Survival Time ◽

Cancer Patients ◽

Cancer Diagnosis ◽

Retrospective Cohort Study ◽

Retrospective Cohort ◽

Breast Cancer Patients ◽

Term Survival ◽

Cox Regression Analysis

Abstract Background: The health burden of breast cancer is rising in China. The effect of informed diagnosis on long-term survival has not been fully understood. This retrospective cohort study aims at exploring the association between early informed diagnosis and survival time in breast cancer patients.Methods: 12,327 breast cancer patients were enrolled between October 2002 and December 2016. Potential factors including knowing cancer diagnosis status, gender, age, clinical-stage, surgical history, the grade of reporting hospital and diagnostic year were registered. We followed up all participants every 6 months until June 2017.Results: By June 2017, 18.04% of the participants died of breast cancer. Both the 3-year and 5-year survival rate of whom knew cancer diagnosis were longer (P<0.001). By stratified analysis, except subgroups of male patients and patients in stage III, patients knowing diagnosis showed a better prognosis in all the other subgroups (P<0.05). By Cox regression analysis, it was showed that not knowing cancer diagnosis was an independent risk factor for survival in breast cancer patients (P<0.001).Conclusions: Being aware of their cancer diagnosis plays a protective role in extending the survival time in breast cancer patients, which suggests medical staff and patients’ families disclose cancer diagnosis to patients timely.

Download Full-text

FOLLOW-UP OF PATIENTS AND PROGNOSTIC IMPACT OF TUMOUR MARKER CA 15-3 ON PATIENTS OF BREAST CANCER: A RETROSPECTIVE COHORT STUDY

International Journal of Advanced Research ◽

10.21474/ijar01/12052 ◽

2020 ◽

Vol 8 (11) ◽

pp. 656-660

Author(s):

Anjali Vinocha ◽

Keyword(s):

Breast Cancer ◽

Cohort Study ◽

Cancer Patients ◽

Retrospective Cohort Study ◽

Retrospective Cohort ◽

Relative Survival ◽

Rank Test ◽

Prognostic Impact ◽

Breast Cancer Patients

Introduction:Breast cancer is the most common cancer in women, with 5- and 10-year relative survival rates are 91% and 84%, respectively for women with invasive breast cancer. This study aimed to detect the role of serum breast cancer marker CA 15-3 for early detection of metastasis, relapse or recurrence for management of breast cancer patients. Methods: It was a retrospective cohort study with a total of 132 breast cancer patients from the year 2010 to march 2020 were taken and followed up. For these patients demographic, biochemical parameters, radiological and clico-pathological data were collected and analysed. Result: The mean age at the time of presentation and mean duration of follow-up was 47 years and 31 months respectively. There was elevation in the serum level of CA 15-3 at the time of diagnosis of metastasis, recurrence or residual disease in 41 patients. This shows that sensitivity of elevated CA 15-3 (> 30 IU/ml) level in Ca Breast patients was 84%, 75 % and 75 % with respect to metastasis, recurrence and relapse. Log Rank test Chi- square value was 7.39 which was statistically significant (p=0.007). Cox proportional hazard model was created for effect of age at presentation, CA 15-3 at the time of diagnosis and MRM on distant metastasis and was statistically significant (p=0.037). Conclusion: We recommend that for the management of breast cancer patients, Cancer antigen (CA 15-3) levels can be used as prognostic marker for early diagnosis of metastasis, recurrence or relapse.

Download Full-text

Early prophylaxis of central venous catheter-related thrombosis using 1% chlorhexidine gluconate and chlorhexidine-gel-impregnated dressings: a retrospective cohort study

Scientific Reports ◽

10.1038/s41598-020-72709-w ◽

2020 ◽

Vol 10 (1) ◽

Author(s):

Tomoko Yamashita ◽

Ayako Takamori ◽

Akira Nakagawachi ◽

Yoshinori Tanigawa ◽

Yohei Hamada ◽

...

Keyword(s):

Cohort Study ◽

Central Venous Catheter ◽

Retrospective Cohort Study ◽

Critically Ill Patients ◽

Retrospective Cohort ◽

Venous Catheter ◽

Chlorhexidine Gluconate ◽

Central Venous ◽

Chlorhexidine Gel ◽

Catheter Related Thrombosis

Abstract To determine the prophylactic effect of using combined 1% alcoholic chlorhexidine gluconate and chlorhexidine gel-impregnated dressings (CGCD) on catheter-related thrombosis (CRT) in critically ill patients. This retrospective cohort study was performed in an intensive care unit from November 2009 to August 2014. The CRT incidence diagnosed with ultrasound examination was compared between patients applying CGCD and combined 10% aqueous povidone-iodine and standard transparent dressings (PITD) after central venous catheter insertion into the internal jugular vein for ≥ 48 h. CRT was stratified into early (within 7 days) and late (days 8–14) thromboses. Multivariate analyses using logistic regression models clarified the relationships between early- and late-CRT risks and skin antiseptic and catheter site dressing combinations. CRT occurred in 74 of 134 patients (55%), including 52 with early CRT and 22 with late CRT. Patients receiving CGCD had a significantly lower incidence of early CRT than those receiving PITD (odds ratio = 0.18; 95% confidence interval = 0.07–0.45, p < .001). No significant association was evident between using CGCD and late CRT (p = .514). Compared to PITD, CGCD reduced the CRT risk over 7 days in critically ill patients. UMIN Clinical Trials Registry: UMIN000037492.

Download Full-text

A Comparison between Cure Model and Recursive Partitioning: A Retrospective Cohort Study of Iranian Female with Breast Cancer

Computational and Mathematical Methods in Medicine ◽

10.1155/2016/9425629 ◽

2016 ◽

Vol 2016 ◽

pp. 1-8 ◽

Cited By ~ 1

Author(s):

Mozhgan Safe ◽

Javad Faradmal ◽

Hossein Mahjub

Keyword(s):

Breast Cancer ◽

Cohort Study ◽

Cancer Patients ◽

Simulation Study ◽

Retrospective Cohort Study ◽

Retrospective Cohort ◽

Recursive Partitioning ◽

Breast Cancer Patients ◽

Cure Model ◽

Model Based

Background. Breast cancer which is the most common cause of women cancer death has an increasing incidence and mortality rates in Iran. A proper modeling would correctly detect the factors’ effect on breast cancer, which may be the basis of health care planning. Therefore, this study aimed to practically develop two recently introduced statistical models in order to compare them as the survival prediction tools for breast cancer patients.Materials and Methods. For this retrospective cohort study, the 18-year follow-up information of 539 breast cancer patients was analyzed by “Parametric Mixture Cure Model” and “Model-Based Recursive Partitioning.” Furthermore, a simulation study was carried out to compare the performance of mentioned models for different situations.Results. “Model-Based Recursive Partitioning” was able to present a better description of dataset and provided a fine separation of individuals with different risk levels. Additionally the results of simulation study confirmed the superiority of this recursive partitioning for nonlinear model structures.Conclusion. “Model-Based Recursive Partitioning” seems to be a potential instrument for processing complex mixture cure models. Therefore, applying this model is recommended for long-term survival patients.

Download Full-text