Breast cancer‐related lymphoedema: Risk factors and prediction model

• Published in: Journal of advanced nursing 2022-03, Vol.78 (3), p.765-775
• Main Authors: Martínez‐Jaimez, Patricia, Armora Verdú, Miriam, Forero, Carlos G., Álvarez Salazar, Samantha, Fuster Linares, Pilar, Monforte‐Royo, Cristina, Masia, Jaume
• Format: Article
• Language: English
• Subjects: Axilla; axillary lymph node dissection; Body mass index; Breast cancer; breast cancer‐related lymphoedema; Breast Neoplasms - complications; Breast Neoplasms - surgery; Cohort analysis; Dissection; Female; Humans; Lymphatic system; Lymphedema; Lymphedema - epidemiology; Lymphedema - etiology; Nurses; nursing; prediction model; Prediction models; predictive study; Retrospective Studies; Risk assessment; Risk Factors; ROC curve; secondary lymphoedema; Sentinel Lymph Node Biopsy; Surgery; Women
• ISSN: 0309-2402; 1365-2648
• DOI: 10.1111/jan.15005

Aims To identify the risk factors for lymphoedema following axillary lymph node dissection (ALND) in a European sample and to propose a lymphoedema prediction model for this population. Design Predictive retrospective cohort study comparing women who developed lymphoedema in 2 years of undergoing ALND with those who did not developed lymphoedema. Methods We reviewed the clinical records of 504 women who, between January 2008 and May 2018, underwent surgery for breast cancer that involved ALND. Logistic regression was used to identify significant risk factors for lymphoedema. The prediction accuracy of the model was assessed by calculating the area under the receiver operating characteristic curve. Results Of the 504 women whose records were analysed, 156 developed lymphoedema. Significant predictors identified in the regression model were level of lymph node dissection, lymph node status, post‐operative complications, body mass index (BMI) and number of lymph nodes extracted. The prediction model showed good sensitivity (80%) in the study population. Conclusions The factor contributing most to the risk of lymphoedema was the level of lymph node dissection, and the only patient‐related factor in the prediction model was BMI. The model offers good predictive capacity in this population and it is a simple tool that breast care units could use to assess the risk of lymphoedema following ALND. Nurses with specialist knowledge of lymphoedema have a key role to play in ensuring that women receive holistic and individualized care. Impact What problem did the study address? Secondary lymphoedema is one of the main complications in the treatment of breast cancer. What were the main findings? The prediction model included five factors associated with the risk of lymphoedema following ALND. The strongest predictor was the level of lymph node dissection, and the only patient‐related factor was BMI. Where and on whom will the research have an impact? The prediction model offers breast care units a tool for assessing the risk of lymphoedema in women undergoing surgery involving ALND. The results highlight the importance of weight reduction as a preventive measure and support a more conservative surgical approach.