Efficiency of Bromelain-Enriched Enzyme Mixture (NexoBrid™) in the Treatment of Burn Wounds
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Bibliographic record
Abstract
Background: The use of bromelain for the removal of eschar in deep burns is considered to be effective because it does not affect the unaffected skin and leaves a clean dermis after use. The main objective of this study is to find out whether bromelain is a good alternative to surgical debridement. In order to achieve that, we aim to evaluate its indications, limitations, and safety measures. Methods: The current study was conducted on a group of 30 patients with deep burn lesions, aged 20 to 56 years, from which 15 underwent enzymatic debridement and 15 patients acted as a control group in which primary surgical debridement was used. The mixture of enzymes enriched in bromelain, meant to dissolve burn eschar, was provided by NexoBrid™. The inclusion criteria were in agreement with the manufacturer’s protocols, but the application protocol was slightly modified in order to implement a better intern protocol and to assess its efficiency. Results: Complete eschar debridement was obtained in 13 of the 15 cases, from which 10 patients went through spontaneous healing and 3 needed to be covered with a skin graft. In the other 2 cases, partial eschar debridement was associated with surgical debridement and coverage with split-thickness skin graft in the same operation. The results obtained in the two groups were assessed with the Vancouver Scar Scale. Conclusions: Even though early excision followed by coverage with split-thickness skin graft remains the gold standard for the treatment of deep burns, enzymatic debridement can provide a series of advantages when the inclusion and exclusion criteria are respected. Bromelain is an alternative to surgical debridement that provides speed, tissue selectivity, safety, and less blood loss.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 it