Effect observation of dermabrasion in the shock phase of children extensive deep partial thickness burns
Bibliographic record
Abstract
Objective To analyze the clinical effect of children with large area of deep Ⅱ degree burn shock stage eschar grinding and two methods in the treatment of eschar shaving,in order to find a more ideal method for treating children with large area deep burn wounds. Methods Sixty cases of large area deep burn hospitalized children were selected in department from 2008 February to 2012 February,including 32 male cases,28 female cases. The ages ranged from 1 to 4 years,averaged (3. 5±0. 5) years old,and total burn area was 15% -31% TBSA,the average was (20. 2±1. 9) % TBSA. According to different treatments,all the burn children were divided into escharectomy group and dermabrasion group,30 cases each group. After admission all the cases were deserved perfect preoperative examination and adequate fluidresuscitation. When staying stable vital signs,all the patients received tangential or eschar grinding operation under anesthesia within 24 hours after injury. The two groups were observed the infusion volume at shock stage,the incidence of postoperative complications and residual wound and the rate of skin grafting operation,the wound healing time,wound healing quality index. Results The first 24th hour infusion volume of the dermabrasion group (1865.2±220.2) mL less than that of the tangential group (2150.9±234. 5) mL(P0.05) . The incidence rate of postoperative complications (40%) and digestive disorders (13.33%) of the dermabrasion group were lower than that of the tangential group (93.33%,36.67%) (P0.05) . The incidence of residual wounds (13.33%) ,and skin grafting operation rate (6.67%) of the dermabrasion group were lower than that of the tangential group (36.67%, 26.67%) (P0. 05) . Wound healing time of the dermabrasion group (16.97±2.45) d was shorter than that of the tangential group (24. 22±1.12) d (P0.05) . Wound healing quality of the dermabrasion group Vancouver score (5.56±1.32) was below than that of the tangential group Vancouver score (9. 61±1.20) (P0.05) . Conclusions The treatment of eschar grinding at the shock stage has little effect on the vital signs of the children with large area of deep Ⅱ degree burn,and has the advantages of simple operation,less complications,side light injury,wound healing fast,light scar. It is a good and more practical method to treat large area of deep Ⅱ degree burn wounds early.
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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 | 0.001 |
| 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) | 0.001 | 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".