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Multifrequency low-level laser-assisted lipolysis outcomes. A dataset from 101 patients
Gabriel Cubillos-Valencia1, Neidalis Vasquez1, Andrés-Miguel Ortegón-Pulido1
1Clínica de Obesidad y Envejecimiento, Bogotá, Colombia.
Data in Brief
|November 18, 2024
Summary
This study analyzed obesity patient data after laser-assisted liposuction, finding it a valuable resource for comparative research on weight loss procedures and surgical outcomes.
Area of Science:
- Bariatric Medicine
- Plastic Surgery
- Data Science
Background:
- Obesity is a complex, multifactorial chronic syndrome.
- Large-volume laser-assisted liposuction is a treatment option for obesity.
- Limited open-access datasets exist for lipolysis weight outcomes.
Purpose of the Study:
- To present a dataset of clinical information from 101 obese patients undergoing laser-assisted liposuction.
- To analyze short-term post-operative complications and weight-related changes.
- To provide a valuable resource for comparative research on liposuction.
Main Methods:
- Collected demographic, personal, and family history data.
- Measured weight and height to calculate body mass index, % total weight loss (%TWL), and % excess body mass index loss (%EBMIL).
- Assessed short-term post-operative complications using the Clavien-Dindo System.
Main Results:
- Analyzed changes in body weight-related variables at three months post-operation.
- Documented the incidence of early surgical complications.
- Established a dataset for future obesity and liposuction research.
Conclusions:
- The dataset offers valuable insights into laser-assisted liposuction outcomes.
- It facilitates comparative studies on traditional versus laser-assisted lipolysis.
- This resource aids researchers in understanding obesity treatment efficacy.

