Predictive factors of satisfaction following breast reconstruction: do they influence patients?

Introduction: This study aims to analyze whether there is any patient- or treatment-related factor that can influence patients' body perception after mastectomy and autologous or implant-based breast reconstruction. Materials and methods: This retrospective cohort study included patients who underwent immediate implant-based or DIEP flap breast reconstruction. Predictive factors analyzed included chemotherapy, radiotherapy, hormone therapy, body mass index, age, type of mastectomy, and follow-up length. The BREAST-Q was administered postoperatively almost 2 years from the last surgical procedure. Mean BREAST-Q scores were reported for the overall cohort and by modality for the postoperative period. A linear regression model was applied to all BREAST-Q scores with all predictor factors. Results: In total, 325 patients were enrolled in this study (133 DIEP flap and 192 implant-based reconstructions). The DIEP flap reconstruction group with a previous nipple sparing mastectomy showed the highest scores. Patients with a longer follow-up were less satisfied than the ones with a shorter follow-up, which could be considered as an assessment of the outcome. No significant difference was reported between patients who underwent radiotherapy, chemotherapy or hormone therapy and those who did not. Furthermore, age and BMI had no influence on patient satisfaction. Conclusion: This study is the first that groups a large number of patients and analyzes predictive factors of long-term satisfaction of patients undergoing breast reconstruction. This can be regarded as a pilot study to raise the awareness of everyone's clinical practice to predict the attitude that patients have after surgery and to prepare them in the best possible way. Level of evidence iv: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com .Introduction: This study aims to analyze whether there is any patient- or treatment-related factor that can influence patients' body perception after mastectomy and autologous or implant-based breast reconstruction. Materials and methods: This retrospective cohort study included patients who underwent immediate implant-based or DIEP flap breast reconstruction. Predictive factors analyzed included chemotherapy, radiotherapy, hormone therapy, body mass index, age, type of mastectomy, and follow-up length. The BREAST-Q was administered postoperatively almost 2 years from the last surgical procedure. Mean BREAST-Q scores were reported for the overall cohort and by modality for the postoperative period. A linear regression model was applied to all BREAST-Q scores with all predictor factors. Results: In total, 325 patients were enrolled in this study (133 DIEP flap and 192 implant-based reconstructions). The DIEP flap reconstruction group with a previous nipple sparing mastectomy showed the highest scores. Patients with a longer follow-up were less satisfied than the ones with a shorter follow-up, which could be considered as an assessment of the outcome. No significant difference was reported between patients who underwent radiotherapy, chemotherapy or hormone therapy and those who did not. Furthermore, age and BMI had no influence on patient satisfaction. Conclusion: This study is the first that groups a large number of patients and analyzes predictive factors of long-term satisfaction of patients undergoing breast reconstruction. This can be regarded as a pilot study to raise the awareness of everyone's clinical practice to predict the attitude that patients have after surgery and to prepare them in the best possible way. Level of evidence iv: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com