A 16-Year Review of Clinical Practice Patterns in Liposuction Based on Continuous Certification by the American Board of Plastic Surgery

PLASTIC AND RECONSTRUCTIVE SURGERY(2023)

引用 0|浏览0
暂无评分
摘要
Background:The American Board of Plastic Surgery has collected data on cosmetic surgery tracers as part of the Continuous Certification process since 2005. The current study was performed to analyze evolving trends in liposuction from the American Board of Plastic Surgery database.Methods:Tracer data from 2005 through 2021 were reviewed and grouped into an early cohort (EC) (2005-2014) and a recent cohort (RC) (2015-2021). Fisher exact tests and two-sample t tests were used to compare patient demographics, techniques, and complications.Results:A total of 2810 suction-assisted liposuction cases were included (1150 EC, 1660 RC). In-office procedures increased (36% EC versus 41% RC). The use of general anesthesia remained the same (63% EC versus 62% RC). The use of power-assisted liposuction increased (24% EC versus 40% RC) and use of ultrasound-assisted liposuction decreased (5% versus 2%). With respect to body areas treated, liposuction of the abdomen (64% EC versus 69% RC), flanks (60% EC versus 64% RC), and back (22% EC versus 34% RC) increased; treatments of thighs (36% EC versus 23% RC), and knees (8% EC versus 5% RC) decreased. Intraoperative position changes are more common (30% EC versus 37% RC), as is liposuction of multiple areas in one case (28% EC versus 36% RC). The volume of lipoaspirate also increased (1150 cc EC versus 1660 cc RC).Conclusions:This study highlights evolving trends in liposuction over 16 years. Liposuction is becoming more common as an outpatient procedure performed concomitantly with other procedures. Despite multiple emerging technologies, the popularity of power-assisted liposuction is increasing. Although adverse events have not significantly increased with these changes, the authors stress careful preoperative evaluation of patients to identify factors that increase the risk of complications.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要