Discordance between histologic and visual assessment of tissue viability in excised burn wound tissue.


Journal

Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society
ISSN: 1524-475X
Titre abrégé: Wound Repair Regen
Pays: United States
ID NLM: 9310939

Informations de publication

Date de publication:
03 2019
Historique:
received: 02 10 2018
revised: 03 12 2018
accepted: 04 12 2018
pubmed: 27 12 2018
medline: 25 7 2019
entrez: 27 12 2018
Statut: ppublish

Résumé

The regenerative capacity of burn wounds, and the need for surgical intervention, depends on wound depth. Clinical visual assessment is considered the gold standard for burn depth assessment but it remains a subjective and inaccurate method for tissue evaluation. The purpose of this study was to compare visual assessment with microscopic and molecular techniques for human burn depth determination, and illustrate differences in the evaluation of tissue for potential regenerative capacity. Using intraoperative visual assessment, patients were identified as having deep partial thickness or full thickness burn wounds. Tangential excisions of burn tissue were processed with hematoxylin and eosin to visualize tissue morphology, lactate dehydrogenase assay to ascertain cellular viability, and Keratin-15 and Ki67 to identify epidermal progenitor cells and proliferative capacity, respectively. RNA from deep partial and full thickness burn tissue as well as normal tissue controls were submitted for RNA sequencing. Lactate dehydrogenase, Keratin-15, and Ki67 were found throughout the excised burn wound tissue in both deep partial thickness burn tissues and in the second tangential excision of full thickness burn tissues. RNA sequencing demonstrated regenerative capacity in both deep partial and full thickness burn tissue, however a greater capacity for regeneration was present in deep partial thickness compared with full thickness burn tissues. In this study, we highlight the discordance that exists between the intraoperative clinical identification of burn injury depth, and microscopic and molecular determination of viability and regenerative capacity. Current methods utilizing visual assessment for depth of injury are imprecise, and can lead to removal of viable tissue. Additionally, hematoxylin and eosin microscopic analysis should not be used as the sole method in research or clinical determination of depth, as there are no differences in staining between viable and nonviable tissue.

Identifiants

pubmed: 30585657
doi: 10.1111/wrr.12692
pmc: PMC6393178
mid: NIHMS1005258
doi:

Substances chimiques

Coloring Agents 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Pagination

150-161

Subventions

Organisme : NIAMS NIH HHS
ID : P30 AR066524
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM102756
Pays : United States
Organisme : NIAMS NIH HHS
ID : AR066524
Pays : United States
Organisme : NIAID NIH HHS
ID : T32 AI125231
Pays : United States
Organisme : University of Wisconsin Skin Disease Research Center
Pays : International

Informations de copyright

© 2018 by the Wound Healing Society.

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Auteurs

Aos S Karim (AS)

Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.

Amy Yan (A)

Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.

Edgar Ocotl (E)

Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.

Daniel D Bennett (DD)

Department of Dermatology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.

Ziyue Wang (Z)

Department of Statistics, University of Wisconsin, Madison, Wisconsin.

Christina Kendziorski (C)

Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, Wisconsin.

Angela L F Gibson (ALF)

Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.

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Classifications MeSH