A Scoring System to Predict Arm Lymphedema Risk for Individual Chinese Breast Cancer Patients.
نویسندگان
چکیده
BACKGROUND Lymphedema (LE) is recognized as a common complication after axillary lymph node dissection (ALND). Numerous studies have attempted to identify risk factors for LE. However, it is difficult to predict the probability of LE for an individual patient. The purpose of this study was to construct a scoring system for predicting the probability of LE after ALND for Chinese breast cancer patients. PATIENTS AND METHODS 358 breast cancer patients were surveyed and followed for 12 months. LE was defined by circumferential measurement. Univariate and multivariate logistic regression analyses were used to screen risk factors of LE. Based on this, ß-coefficient of each risk factor was translated into a prognostic score and the scoring system was constructed. The area under the receiver operating characteristic curve (AUC) and calibration were calculated as an index for the predictive value of the scoring system. The model was internally validated using bootstrapping techniques. RESULTS The incidence rate of LE was 31.84%. Variables associated with LE and their corresponding score in the scoring system were: the level of ALND (level I = 0, level II = 1, level III = 2), history of hypertension (yes = 1, no = 0), surgery on dominant arm (yes = 1, no = 0), radiotherapy (yes = 2, no = 0), and surgical infection/seroma/early edema (yes = 2, no = 0). The probability of LE was predicted according to the total risk scores. The system had good discrimination, with an AUC at 0.877. If a cut-off value of 3 was used, the sensitivity was 81.20% and the specificity was 80.90%. An individual whose total risk score was higher than 3 was recognized as being at risk for LE. On internal validation, the bootstrap-corrected predictive accuracy was 0.798. The model demonstrated excellent calibration in the development set and internal validation. CONCLUSIONS Our scoring system could be a simple and easy tool for physicians to estimate the risk of LE.
منابع مشابه
The prediction of lymphedema via the combination of the selected data mining algorithms
Background: Breast cancer is the second leading cause of cancer death in women, after lung cancer. Due to the importance of predicting this disease, the use of data mining methods in medical research is more significant than before. Data mining algorithms can be a great help in preventing the development of lymphedema in patients. The aim Of this study was to create a diagnosis system that can ...
متن کاملQuantitative Lymphoscintigraphy to Predict the Possibility of Lymphedema Development After Breast Cancer Surgery: Retrospective Clinical Study
Objective To predict the probability of lymphedema development in breast cancer patients in the early post-operation stage, we investigated the ability of quantitative lymphoscintigraphic assessment. Methods This retrospective study included 201 patients without lymphedema after unilateral breast cancer surgery. Lymphoscintigraphy was performed between 4 and 8 weeks after surgery to evaluate ...
متن کاملRisk factors of arm lymphedema in breast cancer patients.
Chronic lymphedema is a life-long, potential complication of axillary treatment for breast cancer patients. In this article we focus on risk factors in the development of arm lymphedema and also discuss definition, type and stage, and incidence of arm edema.
متن کاملTc-99m-Human Serum Albumin Transit Time as a Measure of Arm Breast Cancer-Related Lymphedema
BACKGROUND Lymphoscintigraphy has often been used for evaluating arm lymphatic dysfunction, but no optimal approach for quantification has so far emerged. We propose a quantifiable measure of lymphatic function that we applied in patients treated for breast cancer. METHODS Eleven patients, aged 34-68 years, with unilateral arm lymphedema following breast cancer treatment underwent bilateral l...
متن کاملComparing the Effect of In-Person and Virtual Lymphedema Self-management Education on Quality of Life of Women with Breast Cancer: A Randomized Clinical Trial
Introduction: Breast cancer-related lymphedema is a chronic swelling accompanied by physical discomfort and prolonged treatment negatively affecting patients’ quality of life (QoL). Self-management is a vital phase in managing the results of treatment. So, the study aims to compare the effect of in-person and virtual self-management education on women’s quality of life. Methods: This was a rand...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Breast care
دوره 11 1 شماره
صفحات -
تاریخ انتشار 2016