Abstract

Chronic lower-extremity defects may lead to major amputations and have severe consequences on patient quality of life and mortality. Dermal matrices have become part of the reconstructive ladder and are often deployed in these scenarios to quickly build neodermis, especially in volumetric defects over exposed bone and tendon initially, to allow for subsequent closure by means of split-thickness skin grafting (STSG) or secondary intention. Ovine forestomach matrix (OFM) is a decellularized extracellular matrix (ECM) bioscaffold available in both sheet and particulate forms that can be used as a dermal matrix in various soft-tissue reconstruction procedures. This retrospective case series evaluated the use of OFM products in the surgical reconstruction of 50 cases (n = 50) comprised of challenging lower-extremity defects from seven healthcare centers. Patient records were reviewed to identify comorbidities, defect cause, defect size, presence of exposed structures, Centers for Disease Control and Prevention contamination score, Wagner grade, OFM graft use, time to 100% granulation tissue, STSG use, overall time to heal, and postoperative complications. The primary study outcomes were time (days) to 100% granulation tissue formation, with secondary outcomes including overall time to wound closure (weeks), STSG take at 1 week, and complications. The results of this case series demonstrate OFM as a clinically effective treatment in the surgical management of complex lower-extremity soft-tissue defects with exposed structures in patients with multiple comorbidities. One application of OFM products was effective in regenerating well-vascularized neodermis, often in the presence of exposed structures, with a mean time to 100% granulation of 26.0 ± 22.2 days. These data support the use of OFM as a safe, cost-effective, and clinically effective treatment option for coverage in complex soft-tissue wounds, including exposed vital structures, and to shorten the time to definitive wound closure in complicated patient populations.

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