Nomogram Risk Prediction Model for Reoperation/Revision in the First 5 Years After Primary Breast Augmentation Following Massive Weight Loss: A Clinical Tool.

Abstract

Previous studies suggest higher revision rates after primary breast augmentation after massive weight loss (MWL); yet, specific risk factors remain unclear. Robust predictive models are lacking. The study aimed to create a nomogram to predict 5-year revision risk after primary breast augmentation in women with massive weight loss, providing a clinical tool to guide surgical decision-making. A nationwide, population-based study was conducted within the Breast Reconstruction After Bariatric Surgery project (ClinicalTrials.gov NCT07059104). Data from the Scandinavian Obesity Surgery Registry and the Swedish Breast Implant Registry (2008-2022) were linked with national healthcare and prescription databases. Univariable logistic regression and group LASSO with 1000 bootstrap iterations were applied to identify predictors of revision within 5 years. A final multivariable model informed the development of a clinical nomogram. Among 810 women undergoing 1604 primary breast augmentations after massive weight loss, 84 (10%) required revision during a median follow-up of 5.5 years. Revisions were associated with smaller implant volumes (P = .032) and shorter intervals between bariatric surgery and augmentation (P = .042). In bootstrap analyses, implant volume (92% selection), surgical timing, and medications impairing wound healing were consistently retained. The final model included these three predictors, forming the basis of the nomogram. Implant volume, timing of augmentation, and relevant medications were independent predictors for revision. The nomogram provides a tool to support surgical planning and patient counselling in this high-risk population.