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Background: This study aimed to investigate the impact of the COVID-19 pandemic on breast reconstruction trends in the United States, focusing on implant-based and autologous techniques, as well as the timing of reconstruction (immediate vs. delayed). Methods: A retrospective analysis of data from 2015 to 2022 from the American Society of Plastic Surgeons’ National Plastic Surgery Statistics was conducted. Annual trends in breast reconstruction procedures were analyzed, comparing the pre-pandemic (2015–2019) and pandemic (2020–2022) periods. A sensitivity analysis was performed to assess the impact of missing data from 2019 and 2021. Results: The total number of breast reconstructions increased from 106,338 in 2015 to 151,641 in 2022. The proportion of implant-based reconstructions decreased from 81.41% pre-pandemic to 76.51% during the pandemic (p < 0.001), with a notable rise in direct-to-implant procedures from 10.37% to 19.12% (p < 0.001). Autologous reconstructions increased from 18.59% to 23.49% (p < 0.001). Among autologous techniques, DIEP flaps remained the most popular. Immediate reconstruction rates increased from 72.61% pre-pandemic to 75.57% during the pandemic, while delayed reconstruction rates decreased from 27.39% to 24.43% (p < 0.001). The sensitivity analysis confirmed the robustness of these trends. Conclusions: During the COVID-19 pandemic, there was a significant shift towards autologous breast reconstruction techniques, particularly DIEP flaps, and an increase in immediate reconstructions in the United States. Within implant-based reconstructions, the proportion of DTI procedures increased while the proportion of tissue expander procedures decreased. These changes likely reflect adaptations in surgical practice and decision-making processes in response to the unique challenges posed by the pandemic, rather than alterations in surgical techniques themselves. The insights gained from this study can help guide plastic surgeons and healthcare providers in preparing for future pandemics or similar disruptions.
Hong et al. (Tue,) studied this question.