Retrospective Study of Patients With SJS/TEN Treated at a Tertiary Burn Unit in Canada: Overview of 17 Years of Treatment
Bibliographic record
Abstract
BACKGROUND: Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are adverse drug reactions. OBJECTIVES: To learn about the clinical characteristics of patients with SJS/TEN including treatments provided, outcomes, and mortality. METHODS: We conducted a retrospective chart review of patients who were hospitalized with the diagnosis of SJS/TEN at the Ross Tilley Burn Center between the years 1999 and 2015. RESULTS: A total of 43 patients were identified with a mean age of 54 ± 19 (58, 18-85). The most common offending medications were allopurinol and carbamazepine. The overall mortality rate in our study is 21% with the most common causes of death being multiorgan failure and sepsis. The majority of our patients had oral (84%), ocular (79%), and genital (60%) involvement during hospitalization. Our data revealed that combination treatment involving oral corticosteroids with intravenous immunoglobulin (IVIG) had the highest mortality rate in our study since 55% (6/11) of patients who were treated in this manner passed away compared to 11% (2/18) of patients passing away who were treated with solely IVIG and 33% (1/3) who were treated with only supportive care. Our study also demonstrates the addition of etanercept and cyclosporine treatment in the second time period we studied: 2008-2015 versus the earlier time period of 1999-2007. None of the patients in our study who were treated with therapies including cyclosporine and/or etanercept passed away. CONCLUSIONS: Our study sheds light on a possible beneficial role of cyclosporine and etanercept for the treatment of SJS and TEN and reinforces the necessity of a multidisciplinary care team for patients.
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How this classification was reachedexpand
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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".