Clozapine treatment of patients with refractory schizophrenia, concurrent dengue infection and hematological abnormalities: three case reports
Bibliographic record
Abstract
BACKGROUND: Dengue is a febrile illness that is most common in tropical areas but is recognized worldwide as one of the most important arbovirus diseases of humans. This febrile illness generally has a course with mild alterations in white blood cell count, but there are also rare cases of severe neutropenia or agranulocytosis during dengue infection. Clozapine (CLZ) remains the most effective treatment for schizophrenia, but because of its poor side effect profile, in particular due to the increased risk of neutropenia and agranulocytosis, it is generally used for patients whose condition responds poorly to other antipsychotics. METHODS: We report three cases of dengue infection in patients with refractory schizophrenia who were using CLZ, and we discuss the implications of this infection on the continuation of CLZ treatment in these patients. RESULTS: Of these three cases with dengue infection and co-occurence of CLZ use, the first would be classified as severe neutropenia and the second as moderate leucopenia; the last case had a white blood cell (WBC) count inside the normal range, and had no need to change his antipsychotic. The first and the second patient presented a worsening in their schizophrenic psychopathologies, after CLZ withdrawal, evolving into catatonic states, that were reverted after the careful reintroduction of CLZ. DISCUSSION: It is very likely that during dengue epidemics many patients with schizophrenia and using CLZ have their treatment permanently discontinued given WBC count concerns, causing relapse of symptoms of schizophrenia and impairment of quality of life of these patients.This is the first report of neutropenia cases among CLZ-treated patients during dengue infection that describes the withdrawal of CLZ and its successful readministration.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".