Human Leukocyte Antigen Gene Testing and Carbamazepine-Induced Toxic Epidermal Necrolysis: A Study of Pediatric Practice
Bibliographic record
Abstract
Background Stevens–Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are life-threatening drug-induced dermatologic conditions. SJS/TEN occurs in 1-10 per 10 000 patients taking carbamazepine (CBZ) (Pratt VM, McLeod HL, Rubinstein WS et al. Medical Genetics Summaries. National Center for Biotechnology Information US; 2018: 1-527). The development of SJS/TEN is associated with variable drug metabolism and presence of an at-risk HLA haplotype. HLA-B*15:02 and HLA-A*31:01 haplotypes can produce a hyperimmune response in the setting of CBZ use in patients of Asian and European descent, respectively (Schneider JA, Cohen PR. Stevens-Johnson Syndrome and Toxic Epidermal Necrolysis: A concise review with a comprehensive summary of therapeutic interventions emphasizing supportive measures. Adv Ther. 2017; 34:1235-1244). Objective The US Food and Drug Administration (FDA) and the Canadian pharmacogenomics Network for Drug Safety (CPNDS) recommend that patients with high-risk ethnic backgrounds should be genetic tested before initiating CBZ (Sukasem C, Chaichan C, Nakkrut T et al. Association between HLA-B Alleles and Carbamazepine-induced maculopapular exanthema and severe cutaneous reactions in Thai patients. Journal of Immunology Research. 2018; 1-11).We sought out to assess the awareness of this in prescribing practitioners and their standard of practice. Methods We created a 15-question survey and distributed to pediatric neurologists and pediatricians at the University of Alberta. We hypothesized that there was a discordance between the standard of practice and the recommendation by the FDA and CPNDS. Results The survey results indicated a lack of awareness of the at-risk ethnicities for CBZ-induced SJS/TEN. HLA gene testing was rarely done prior to initiation of CBZ in high-risk patients. In addition, there was a lack of awareness for standard of care for genetic testing in Canada and worldwide. Conclusions Our results demonstrate an evident gap between current prescriber practices and existing FDA and CPNDS recommendations to screen for HLA genotypes. We hope that this study captures the realistic potential to improve patient outcomes.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".