Determining clinically meaningful thresholds for innovative burn care products to reduce autograft: A US burn surgeon Delphi panel
| Autor: | Erika Brockfeld McClure, Elizabeth Merikle, Janice Smiell, James H. Holmes, Tzy-Chyi Yu, Elaine A. Böing, Angela Gibson |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
business.industry Adult population Delphi method 030208 emergency & critical care medicine Percentage reduction General Medicine Critical Care and Intensive Care Medicine 030207 dermatology & venereal diseases 03 medical and health sciences 0302 clinical medicine Wound management Emergency Medicine medicine Surgery Severe burn In patient Wound closure Intensive care medicine business Donor skin |
| Zdroj: | Burns. 47:1066-1073 |
| ISSN: | 0305-4179 |
| Popis: | Reducing the amount of donor skin needed for definitive wound closure can improve outcomes in patients with severe burns. This Delphi Consensus Panel (DCP) aimed to achieve expert consensus on the percentage reduction in donor skin for autograft that constitutes a clinically meaningful benefit. A two-round DCP of fifteen US burn surgeons was conducted via a web-based survey platform. Fourteen panelists (93.3%) completed both rounds. In Round 2, consensus, defined as ≥70% agreement, was achieved for five of the seven consensus statements. All panelists agreed that a clinically meaningful reduction in the amount of donor skin required would facilitate wound management and decrease donor site morbidity experienced by patients. Furthermore, based on three treatment scenarios, consensus was achieved for a clinically meaningful reduction in the amount of donor skin required for autograft for the adult population in deep partial-thickness and full-thickness burns. Findings from this DCP indicate that an innovative cellular and/or tissue product that would reduce the needed amount of donor skin, by the identified thresholds, has the potential to improve the outcomes for patients with severe burn injuries in a meaningful way. |
| Databáze: | OpenAIRE |
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