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BACKGROUND: Although plastic surgery procedures generally demonstrate less than 2% incidence of venous thromboembolism (VTE) outcomes, the post-COVID era data remain elusive. This study sought to elucidate the relationship between COVID-19 infection and the risk of VTE outcomes across plastic surgery procedures. METHODS: Plastic surgery procedures were identified in the 2012-2022 National Surgical Quality Improvement Program databases. The outcomes of interest were the postoperative occurrence of VTE, defined as deep vein thrombosis (DVT) or pulmonary embolism (PE), and postoperative complication. Propensity score matching was used to 1) compare overall rates of VTE between the pre-pandemic era and pandemic era cohorts and 2) compare rates of VTE and overall postoperative complications in cases with and without COVID-19 diagnosis in the years 2021-2022 (p < 0.05). RESULTS: Overall, 269,006 plastic surgery cases were identified, comprising general breast (76%) and trunk (9.4%) procedures. Non-breast free tissue transfer cases were associated with the highest rates of DVT (1.3%) and trunk procedures with the highest rates of PE (0.7%). After propensity score matching, the overall rate of VTE after the onset of the COVID-19 pandemic was not significantly different from the pre-pandemic era (p = 0.40). In a separately matched cohort, COVID-19 diagnosis did not significantly predict the risk for VTE (p = 0.48) but did significantly predict the risk for overall postoperative complications (p < 0.001). CONCLUSIONS: Although COVID-19 diagnosis itself did not predict the risk of VTE in matched analysis, it significantly predicted the overall postoperative complications. Future studies may further investigate the effects of COVID-19 infection over longer periods of follow-up.
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INTRODUCTION: Breast implant-associated anaplastic large cell lymphoma (ALCL) has been rapidly rising in the US and around the world, leading to a mandated "black-box" label on all silicone- and saline-filled implants by the Food and Drug Administration (FDA). Because regulatory decisions in the US and around the world have been influenced primarily by risk estimates derived from cancer registries, it is important to determine their validity in identifying cases of ALCL. METHOD: We reviewed all cases of ALCL submitted to the New York State Cancer Registry from a large comprehensive cancer center in New York City from 2007 to 2019. To determine the possibility of misdiagnosis or under-diagnosis of ALCL cases reported to cancer registries, we accessed the sensitivity and specificity of the ICD-O-3 codes 9714 (ALCL) and 9702 (Mature T-cell lymphoma, not otherwise specified [T-NOS]) to identify pathologically-proven ALCL. RESULTS: We reviewed 2286,164 pathology reports from 47,466 unique patients with primary cancers. Twenty-eight cases of histologically-proven ALCL were identified. The sensitivity and specificity of the ICD-O-3 code 9714 (ALCL) were 82% and 100%, respectively. The sensitivity of the combined codes 9714/9702 (ALCL/T-NOS) was 96% and the specificity was 44%. CONCLUSION: Previous epidemiological studies that influenced regulatory decisions by the FDA may have systematically underestimated the risk of ALCL by at least 20%. We encourage updated global risk estimates of breast ALCL using methods that ensure adequate case ascertainment.