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The goal of this study is to explore if an adipose-based therapeutic strategy can treat full-thickness soft-tissue trauma wounds in injured individuals, especially those with severe burns or soft-tissue loss. The main question it aims to answer are:
- Can immediate autologous adipose and autologous layered composite grafting be effective for acute functional soft-tissue reconstruction?
Researchers will compare the single-stage autologous layered composite grafting method to traditional methods to see if it improves healing outcomes, minimizes scarring, and reduces infection risk.
Participants will:
Full description
Soft-tissue injuries from blasts, burns, or multiple traumas can cause severe damage, leading to loss of function, lower quality of life, long recovery times, and inability to work. When these injuries involve deep burns or full-thickness tissue loss in areas that move a lot, they are especially difficult to treat due to the risk of scarring, stiffness, and tissue sticking together. There is a need for a reliable, single-stage treatment that can provide soft, flexible tissue reconstruction with minimal risk, cost, and, complexity. To address this issue, the investigators propose a fat-based approach to reconstruction. Fat tissue is easily available from the patient's own body and carries many benefits in reconstructive surgery. Our team has shown that using a layer of fat immediately in treatment creates a soft, vascular layer that reduces scarring, improves tissue volume, and supports a one-stage, multi-layer reconstruction without the need for complex surgery or causing harm to the donor area. The purpose of this study is to compare this reconstructive approach under the following conditions:
• Demonstrate efficacy of immediate autologous adipose and autologous layered Composite Grafting in acute functional soft-tissue reconstruction.
Evaluators including dedicated observers will be blinded to treatment group/strategy.
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68 participants in 2 patient groups
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Central trial contact
Patsy Simon; Eleanor Shirley
Data sourced from clinicaltrials.gov
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