Impact of post-operative infection on revision procedures in breast reconstruction: A marketscan database analysis

Abstract

BackgroundEsthetic complications, such as capsular contracture and soft-tissue contour defects, hinder the desired outcomes of breast reconstruction. As subclinical infection is a prevailing theory behind capsular contracture, we investigated the effects of post-operative infections on these issues and revision procedures. MethodsWe conducted a retrospective database study (2007–2021) on breast reconstruction patients from the MarketScan® Databases. Esthetic complications were defined by their associated revision procedures and queried via CPT codes. Severe capsular contracture (Grade 3–4) was defined as requiring capsulotomy or capsulectomy with implant removal or replacement. Moderate and severe soft-tissue defects were determined by the need for fat grafting or breast revision, respectively. Generalized linear models were used, adjusting for comorbidities and surgical factors (p < 0.05). ResultsWe analyzed the data on 62,510 eligible patients. Post-operative infections increased the odds of capsulotomy (OR 1.59, p < 0.001) and capsulectomy (OR 2.30, p < 0.001). They also raised the odds of breast revision for severe soft-tissue defects (OR 1.21, p < 0.001). There was no significant association between infections and fat grafting for moderate defects. Patients who had post-operative infections were also more likely to experience another infection after fat grafting (OR 3.39, p = 0.0018). In two-stage reconstruction, infection after tissue expander placement was associated with greater odds of infection after implant placement. ConclusionPost-operative infections increase the likelihood of developing severe soft-tissue defects and capsular contracture requiring surgical revision. Our data reinforce the role of infections in the pathophysiology of capsular contracture. Additionally, infections elevate the risk of subsequent infections after fat grafting for moderate defects, further increasing patient morbidity.