849 Rapid Vascularized Native Collagen/elastin Matrix Offers Multiple New Surgical Options in Burns and Trauma
Bibliographic record
Abstract
Abstract Introduction Despite successful defect coverage by means of complex skin or muscle flaps, particularly large and deep problematic wounds with exposed bradytrophic tissues after soft tissue loss are highly susceptible to surgical revision. This has led to the development of dermal matrices in order to improve quality and function of reconstructed tissue. Native dermal tissue matrix, consisting of native collagen (collagen type I, III and V) supplemented by an elastin hydolyzate was first used in 1mm thickness for the treatment in one-stage procedures and in 2mm thickness for the treatment in two-stage procedures. Due to the rapid vascularisation of this collagen/elastin matrix more and more former 2 mm-two-stage procedures showed to able to be performed one-stage. Methods 93 patients treated in a level I trauma center between January 2014 and December 2020 in terms of severe soft tissue defects of upper or lower extremity using STSG in combination with native collagen-elastin tissue matrix in one or two stage procedures were included in a retrospective study. The healing of the soft tissue defect was measured by assessment of the take rate. Outcome quality of the scar tissue was assessed using the Vancouver Scar Scale more than 24 months postoperatively. Results Overall healing rate (number of patients with take rate ≥ 75%) was 84%. The majority of postoperative events that had to be revised surgically included healing disturbances such as remaining defects, necrosis, or delayed healing Regarding the VSS there was no overall difference to treatment groups after split skin grafting to exposed (and/or partial loss of) subcutaneous tissue. Two-years follow up of these collagen-elastin matrix procedures in defect coverage showed an excellent functional outcome: Up until now, no areas with unstable scars have occurred, no surgical scar revisions were required. The patients were still able to wear normal footwear, clinical gait analysis showed perfect functional outcome. Conclusions The application of native collagen-elastin tissue matrix in patients with exposed bradytrophic tissue after severe burn or traumatic injuries treated so far can be recommemded as an excellent reconstruction method, independent of one or two stage procedures. Applicability of Research to Practice Use of native collagen-elastin tissue matrix in severe burn and traumatic injuries with exposed bradytrophic tissue can successfully avoid complex skin or muscle flaps and minimize the risk of major surgical revision. Funding for the Study N/A
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".