Late Outcomes in Adult Survivors of Toxic Epidermal Necrolysis After Treatment in a Burn Center
Bibliographic record
Abstract
Despite improved survival after burn center treatment for patients with toxic epidermal necrolysis (TEN), little is known about the overall long-term outcomes in these patients. In this work we sought to analyze late outcomes in survivors of TEN who were treated in our burn center. Subjects completed a questionnaire that included the RAND 36-Item Health Survey (SF-36) and the Dermatology Life Quality Index. Subjects were examined, when possible, and completed the Functional Independence Measure. Scores on the SF-36 were compared with age- and sex-matched National normative data. All results are presented as the mean +/- SD. Of 35 adults admitted with TEN between January 1, 1995, and January 6, 2003, 10 have died in hospital, 4 have died since discharge, and 8 have been lost to follow-up, leaving a study population of 13 subjects (age 45 +/- 18 years with initial %TBSA involvement 65 +/- 29). Follow-up occurred at 38 +/- 27 months after discharge. The most common ophthalmic problems were chronic photosensitivity (54%) and dry eyes (31%). The Dermatology Life Quality Index (maximum-worst score = 30) was 9 +/- 10. SF-36 scores were significantly lower than in the age- and sex-matched normal population across all domains except mental health. The Functional Independence Measure score (maximum-best score = 126) was 123 +/- 4. Survivors of TEN demonstrate a high level of independent function in activities of daily living, but numerous complications of TEN significantly impair their overall quality of life, emphasizing the need for long-term follow-up.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".