Abstract

Background:Traumatic amputations are very prevalent in today's world. Successful rehabilitation of an amputee largely depends on how well he/she adapt to prosthesis. However, because of poor scar characteristics, these patients often complain of pain while using prosthesis. Autologous fat graft is being vastly used all over the world to improve the scar of various etiologies. However, it has been associated with unpredictable resorption rate.Objectives:We report the results of the study which was done to assess the consequences of fat grafting over scars and to see its effects on pain management in amputated stump and compare the autologous fat graft with stromal vascular filtrate (SVF)-enriched fat graft for scar remodeling and pain modulation on amputation stumps.Materials and Methods:A prospective randomized trial was conducted from July 2014 to December 2015. A group of ten patients, who were unable to wear prosthesis due to painful amputation stump, incorporated in the study and randomly distributed in two groups. Group A of five patients (case group) was treated with autologous fat graft enriched with SVF while Group B (control group) of remaining five patients was treated with fat graft alone. The results were assessed at baseline, at 1 month, and at 6 months postoperatively using patient and observer scar assessment scale (POSAS) score. Magnetic resonance imaging (MRI) was done to compare fat content preoperatively and 6 months postoperatively.Results:All ten patients reported improvement in scar characteristics, most notably in pain in both scales of POSAS score. The improvement was comparable in both groups. However, the fat content in case group was significantly more in comparison to control group when assessed 6 months postoperatively using MRI scan.Conclusion:Autologous fat grafting is a viable and minimally invasive solution for painful amputation stump. Enrichment of fat graft with SVF can enhance its viability over long term. This study was done as a pilot project. Hence, further long term studies with large sample size are needed to ascertain the benefits observed in this study.

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