Advanced Biomedical Research (Jan 2016)

Obesity phenotypes and resorption percentage after breast autologous fat grafting: Rule of low-grade inflammation

  • Pietro Gentile,
  • Francesca Sarlo,
  • Barbara De Angelis,
  • Antonio De Lorenzo,
  • Valerio Cervelli

DOI
https://doi.org/10.4103/2277-9175.187396
Journal volume & issue
Vol. 5, no. 1
pp. 134 – 134

Abstract

Read online

Background: One of the main reasons why the breast fat grafting was questioned is that there may be lipofilling resorption. In the literature, the resorption rate reported over the 1st year is highly variable (20–90%). Objective: The aim of this work was to identify the biochemical and clinical parameters, which increase fat graft maintenance in breast reconstruction. Materials and Methods: A sample of 19 patients was treated with fat grafting mixed with platelet-rich plasma. A complete screening of anthropometry, body composition, and blood biochemical parameters was assessed using the standardized equipment. Pre- and post-operative evaluation was performed, which included a complete clinical examination, photographic assessment, nuclear magnetic resonance imaging of the soft tissue, and ultrasound. The follow-up period was 2 years. Results: The authors divided the results into two types of patients: “responder” and “not a responder.” In the “responder” group patients with normal weight, gynoid fat distribution, obese, with normal blood biochemical parameters, and atherogenic indices but with high preoperative values of platelet-to-lymphocyte ratio (PLR) (174.49) and neutrophil-lymphocyte ratio (NLR) (2.65) showed a greater increase of fat graft maintenance at 6 and 12 months after the last lipofilling session. In the “not responder group” patients with overweight, android fat distribution, obese, high values of atherogenic indices, but with normal preoperative NLR and PLR ratios showed a lower fat graft maintenance at 6 and 12 months. Conclusion: We assume, the problem of fat resorption may be resolved by analysis of body composition and by examine the predictive role of preoperative markers of low-grade inflammation.

Keywords