473 The Application of Biodegradable Temporizing Matrix in Burn Reconstructive Surgery: Preliminary Results of 36 cases
Bibliographic record
Abstract
Biodegradable Temporizing Matrix (BTM) is a synthetic polyurethane dermal substitute which lacks synthetizing proteins and, based on the published literature, offers higher resistance to infections. BTM was applied as a dermal substitute for wound resurfacing and reconstruction. We present the preliminary results of 36 cases of BTM application in acute burn wound resurfacing and chronic complex wound reconstructive surgery. A retrospective review of BTM application with split-thickness skin grafting (STSG) in acute burn injury and chronic complex wounds over one year period at a single institution was conducted. All wounds were repaired by BTM placement and STSG in a two staged procedure. The demographic data, surgical techniques, complications and follow up results are presented in detail. Thirty-six patients were evaluated. Acute burn wounds (16/36) or chronic complex wounds (20/36) with bone, joints, and tendons exposed underwent reconstructive surgery using BTM combined with STSG in a two stage procedure. There were 14 females and 22 male patients. Ages ranged from 19 to 67 years with mean age of 46.4±13.3 years. The anatomical location included head and neck (5/36), extremities (23/36), and trunk/perineum (8/36). The size of the wounds ranged from 12 cm2 to 3189 cm2 with mean 402.8± 656.2 cm2. Complications included hematoma (3/36), infection (7/36), [RV1] total BTM loss (4/36) and eyelid ectropion (3/36). Complete loss of BTM resulted from hematoma and infection. Three patients had salvage of the skin substitute using irrigation post operatively. Three cases of lower extremity wounds were not able to be salvaged and required below the knee amputations. We encountered three cases of lower eyelid ectropion in head and neck reconstructed patients. One severe case required release with skin grafting while, the other two responded to conservative measures of taping and massage. All other cases were reconstructed successfully. The follow up time was between 3 months to 15 months with mean 8.5±3.4 months. Biodegradeable Temporizing Matrix (BTM) may be a reliable method to resurface acute burn and chronic complex wounds. A further research study with long term follow up is needed to investigate its viable role as a dermal substitute. BTM may be used as an alternative to resurface and reconstruct burn and chronic wounds.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".