Idiosyncratic drug-induced neutropenia & agranulocytosis
Bibliographic record
Abstract
Summary Background/Introduction: Few data is currently available on neutropenia and agranulocytosis related to drug intake. Aim: We report here data on 203 patients with established idiosyncratic drug-induced agranulocytosis, followed up in a referral centre within a university hospital. Design: Data from 203 patients with idiosyncratic drug-induced agranulocytosis were retrospectively reviewed. Methods: All cases were extracted from a cohort study on agranulocytosis in the Strasbourg University Hospital (Strasbourg, France). Results: The mean age was 61.6 years old (range: 18-95), the gender ratio (F/M) was 1.3. Several comorbidities were present in 63.5%. The most frequent causative drugs were: antibiotics (49.3%), especially β-lactams and cotrimoxazole; antithyroid drugs (16.7%); neuroleptic and anti-epileptic agents (11.8%); antiviral agents (7.9%); and platelet aggregation inhibitors as ticlopidine and acid acetylsalicylic (6.9%). The main primary clinical manifestations during hospitalization included: isolated fever (26.3%); septicaemia (13.9%); documented pneumonia (13.4%); sore throat and acute tonsillitis (9.3%); and septic shock (6.7%). The mean neutrophil count at nadir was 0.148 × 109/L (range: 0-0.48). All febrile patients were treated with broad-spectrum antibiotics and 107 (52.7%) with hematopoietic growth factors. The mean duration of haematological recovery (neutrophil count ≥1.5 × 109/L) was 7.8 (range: 2-20). This mean duration was reduced to 2.1 days (range: 2-16) (p=0.057) with hematopoietic growth factors. Outcome was favourable in 91.6% of patients; seventeen died. Thirty-seven patients (18.2%) required intensive care. Discussion/Conclusion: The present study demonstrated that idiosyncratic drug-induced agranulocytosis is a relative rare events; that antibiotics, antithyroid, neuroleptic and anti-epileptic agents, and platelet aggregation inhibitors are the main incriminated drug classes; that agranulocytosis typically serious, with at least 50% exhibiting severe sepsis and a mortality rate <10%; and that modern management of such disorder may reduce the infection-related mortality.
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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) | 0.003 | 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".