Multifrequency low-level laser-assisted lipolysis outcomes. A dataset from 101 patientsHarvard Dataverse

Abstract

Obesity is a chronic and complex syndrome resulting from the interactions of genetic, environmental, metabolic, and psychological factors. This dataset collected clinical information from 101 patients with obesity who had undergone large-volume laser-assisted liposuction. Demographic, personal, and family history of disease were recorded, and weight and height were determined and subsequently used to calculate body mass index, % of total weight loss (%TWL), and % of excess body mass index loss (% EBMIL). Short-term incidence (<30 days) in post-operative complications was assessed according to the Clavien-Dindo System. The main outcomes analysed were the changes in body weight-related variables before and after the first three post-operative months and the incidence of early surgical complications. Due to the limited availability of structured, open-access datasets with information on traditional and laser-assisted lipolysis weight outcomes, this dataset is a valuable resource for researchers conducting comparative studies on liposuction procedures.

Keywords

• Laser
• Laser-assisted lipolysis
• Overweight
• Obesity
• Liposuction
• Dataset