Predicting possible zonisamide hypersensitivity syndrome
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
UNLABELLED: Zonisamide (ZNS) is an anticonvulsant (AC) that contains a sulpha moiety potentially triggering hypersensitivity syndrome reactions (HSR). The lymphocyte toxicity assay (LTA) is an in vitro drug rechallenge test, which is believed to reflect a decreased capacity of the individual to detoxify reactive metabolites. The study examined whether cross-reactivity is present between ZNS and other AC and/or sulphonamides and if this HSR may be predicted using the LTA. The second aim was to determine age-related differences in ZNS-induced HSR. LTA was previously validated in patients who received sulphamethoxazole (SMX) or AC. METHODS: Forty adult patients who displayed clinical HSR to SMX (20) or AC (20) participated in the study. Each group was represented with an equal number of individuals above and below the age of 60. LTA-SMX, LTA-AC and LTA-ZNS from 20 patients who previously presented a clinical reaction to one of the drugs and who had a positive LTA result to the specific drug were compared with 20 individuals who received the same drugs but did not present reactions. Binary logistic regression was used to evaluate the statistical significance. RESULTS: In vitro results correlated with the clinical diagnosis. LTA presented a significant difference (P < 0.0001) between control and hypersensitive patients. In each age group, only a single patient had a severe clinical manifestation of SMX-HSR. These individuals tested positive to both SMX and ZNS. CONCLUSIONS: Sulphamethoxazole-HSR but not AC-HSR patients may present a cross-reactivity to ZNS-HSR. The use of LTA to predict a possible ZNS reaction is recommended for SMX-sensitive individuals who prescribed ZNS.
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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 | 0.001 |
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