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Breast cancer-related lymphedema (BCRL) is a major long-term complication for post-surgery breast cancer survivors. Although several risk factors have been identified, lifestyle characteristics have been neglected in previous studies. The aim of this study was to develop and validate a nomogram for estimating this population’s risk of developing lymphedema, taking into consideration their demographic, clinical, and personal lifestyle behaviors. In a cross-sectional study, we collected data from 775 post-operative breast cancer survivors who had attended a follow-up session in the recent 10 years (primary cohort). Lymphedema was assessed using the Norman telephone questionnaire, self-reported by patients. Multiple logistic regression was used to identify risk factors for lymphedema, including demographic, clinical, and lifestyle-related factors. A nomogram was constructed based on those factors and was validated using a separate group of 314 breast cancer patients (validation cohort). The factors independently associated with lymphedema were higher body mass index (BMI), modified radical mastectomy (MRM), postsurgical infection, chemotherapy, radiotherapy, exercise of the affected arm, and the active participation in physical activity (P

OBJECTIVE We investigated the effects of mindfulness-based cognitive therapy on insomnia (MBCT-I) in breast cancer survivors. METHODS In total, 136 participants were allocated randomly to a MBCT-I group or a waitlist control (WLC) group. Indicators of insomnia and mindfulness were evaluated using the Insomnia Severity Index, actigraphy and the Five Facet Mindfulness Questionnaire. Data were collected at baseline (T1), post-intervention (T2), 3-month follow-up (T3) and 6-month follow-up (T4) time points. RESULTS Insomnia severity decreased significantly in the MBCT-I group, compared with the WLC group, at T2, T3 and T4 (all p

Purpose Breast cancer (BC) survivors have a lifelong risk of developing lymphedema . This study investigated the prevalence of BC-related arm lymphedema among Chinese BC survivors diagnosed in the last 10 years and examined the demographic and clinical variables as well as lifestyle factors associated with lymphedema status. Methods In this cross-sectional study, women with BC (N = 866) who had been diagnosed and followed up in the previous 10 years were recruited from the outpatient clinic of 4 general hospitals and one cancer association in China between August 2018 and October 2019. Lymphedema status was determined using the Norman telephone questionnaire as the patient-reported occurrence of hand/lower arm/upper arm swelling. Multiple logistic regression was used to identify risk factors for lymphedema. Results The median time from BC diagnosis was 4.0 years (interquartile range, 2.0–5.0 years). 81.4% of the patients had undergone mastectomy . The prevalence of arm lymphedema among BC survivors was 49.0%. Age ≥50 years, monthly income modified radical mastectomy , postsurgical wound infection, chemotherapy, and radiotherapy were associated with an increased risk of BC-related arm lymphedema, whereas exercise of the affected arm, engagement in active physical activity, and timely reporting of symptoms of infection to a physician decreased the risk (P Conclusions Arm lymphedema is a common complication for postoperative BC survivors within 10 years. It is essential to identify patients at risk of lymphedema based on demographic, clinical, and lifestyle factors and implement interventions targeting modifiable lifestyle behaviors-eg, active physical activity during the postoperative period .

In a quantum key distribution (QKD) system, privacy amplification (PA) is an essential procedure that can effectively eliminate the leaked information to an eavesdropper and distill a secret key. The processing speed of the PA algorithm inevitably affects the final key rate of the QKD system. We propose a high-speed PA algorithm based on field-programmable gate array (FPGA), where the matrix multiplications are divided into a number of rhomboid-block operations. The implementation of the PA reduces significantly the required number of FPGA Block RAMs. Meanwhile, it automatically adapts to different lengths of input and output blocks. Finally, we verified the correctness and high-speed of the algorithm when implemented in a Xilinx Virtex-7 FPGA.