Drug reaction with eosinophilia and systemic symptoms (DRESS): A tertiary care centre retrospective study
Bibliographic record
Abstract
Aims Drug reaction with eosinophilia and systemic symptoms (DRESS) is a rare, drug‐induced severe adverse reaction that usually occurs 3–6 weeks after initial exposure to certain drugs. It affects mainly adults and children to a lesser extent. Clinical features include fever, facial oedema, generalized skin rash, lymphadenopathy, haematological abnormalities and internal organ involvement. The objective was to investigate the clinical and laboratory features of patients with DRESS in our centre. Methods We retrospectively describe and analyse 19 cases of DRESS whose diagnosis was based on the RegiSCAR criteria (≥6 points) that occurred from January 2009 to December 2019. Results Patient age ranged from 4 to 76 years (4 children/15 adults); 10 were female (52.3%). The most common culprit drugs were antibiotics (74%) and anticonvulsants (21%). The most common comorbidities were epilepsy (26%) and hypertension (26%). All patients developed cutaneous manifestations and of those, 58% presented facial oedema. Liver function tests, urea/creatinine and troponin elevation were present in 74, 32 and 42%, respectively. The median time to develop the skin rash after the drug exposure was 3.7 weeks (interquartile range 2.4–4.2 wk). Eosinophilia (≥0.7 × 109/L) was present in 95% of the patients and peaked around 10 days after the skin manifestations. Leucocytosis and reactive lymphocytes were reported in 84% and 26% of all patients respectively. Treatment with systemic steroids was reported in 16 patients. The mean recovery time was 2 weeks (interquartile range 2–3.5 wk) and mortality was 5%. Conclusion DRESS is a serious condition with significant morbidity and mortality, which requires more research for a better understanding.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".