Systematic review and meta-analysis of Biodegradable Temporizing Matrix application for complex wound reconstruction.
Payton Kathryn GrandeDavid M HillJenessa M McElfreshRam VelamuriXiangxia LiuPublished in: Journal of burn care & research : official publication of the American Burn Association (2024)
Biodegradable Temporizing Matrix (BTM) is a synthetic dermal template recently developed to reconstruct complex wounds. Current literature describes BTM outcomes in the presence of infection and other comorbidities but are limited by small sample sizes. The purpose of this systemic review and meta-analysis was to determine current breadth and success of BTM use for complex wound closure. Databases were searched to identify previously published studies describing BTM use in human wounds. Studies were excluded if conducted in vitro, using non-human animals, or for procedures irrelevant to wound care. Twenty-four studies met inclusion criteria, representing 202 patients. The most common injury treated with BTM was burns (68 cases, 33.7%) followed by acute surgical wounds (59 cases, 29.2%). The large majority of patients did not experience any post-operative infections (76.6%). Infected wounds were associated with a 7.5-day delay from BTM to grafting. Univariate regression analyses showed a negative association between time to BTM implantation and age, exposed muscle, and exposed tendon (p < 0.001). Ninety-two percent of patients received BTM implantation less than 2 weeks from admission. Eighty-four percent of patients had a greater than 95% BTM take. The median time to STSG was 34 days, and 92% of patients experienced a greater than 95% STSG survival. To our knowledge, this is the first reported systemic review on the application of BTM for wound reconstruction. According to the published data, BTM is versatile dermal template for complex wounds coverage with low risk of infection, high template take rate, and excellent autograft survival.
Keyphrases
- end stage renal disease
- newly diagnosed
- chronic kidney disease
- ejection fraction
- peritoneal dialysis
- emergency department
- healthcare
- machine learning
- drug delivery
- intensive care unit
- palliative care
- metabolic syndrome
- high resolution
- big data
- skeletal muscle
- insulin resistance
- electronic health record
- wound healing
- pain management
- respiratory failure