Characteristics of DRESS Syndrome in the Elderly: A Comparative Study of 55 Patients
Bibliographic record
Abstract
Abstract: Background: Drug reaction with eosinophilia and systemic symptoms (DRESS) is a rare drug reaction characterized by a skin rash, eosinophilia, and organ involvement. Objective: Our purpose is to focus on the clinical and epidemiological characteristics of DRESS in the elderly and to identify the incriminated drugs. Methods: This is a retrospective study including patients, hospitalized for DRESS with a RegiSCAR ≥4. The population was divided into 2 groups according to age: 65 years or older (G1) and <65 years (G2). The statistical study was performed using the comparative and multivariate analysis. Results: We included 55 patients (30.9% G1 and 69.1% G2). Skin manifestations were comparable in both groups. Lymphadenopathy was less common in G1 with a statistically significant difference ( P = 0.012). Renal impairment was more frequent in the elderly with a statistically significant result ( P = 0.005). DRESS in the elderly group was significantly associated with the occurrence of sepsis ( P = 0.008). Allopurinol was the most common culprit associated with DRESS in G1 ( P = 0.001). Relapses and recurrences were comparable in both groups ( P = 0.71). Conclusions: DRESS in the elderly is associated with a high risk of complications, mainly kidney involvement and sepsis. Allopurinol is the most incriminated drug.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".