Incidence of Oculogyric Crisis and Long-Term Outcomes With Second-Generation Antipsychotics in a First-Episode Psychosis Program
Bibliographic record
Abstract
Oculogyric crisis (OGC) is an often recurrent dystonic adverse effect of antipsychotic treatment characterized by a sustained fixed upward gaze lasting minutes to hours. The risk of OGC has not been established. We prospectively estimated the incidence rate of OGC in an early intervention service for psychosis and provided details regarding the antipsychotics implicated, clinical presentation, and long-term outcomes of OGC. The Nova Scotia Early Psychosis Program provides comprehensive, team-based care to youth and young adults with schizophrenia spectrum disorder. For 6 years (April 2008 to March 2014), 452 new patients were admitted to the program and participated in an individualized program of care. Eight patients (4 females; mean age, 19.8 years) developed recurrent episodes of OGC after 3 months to 2 years of treatment with 1 or more second-generation antipsychotics, yielding an incidence rate of 1.8% (95% confidence interval, 0.9%-3.4%). Risperidone or olanzapine (alone or in combination with a second antipsychotic) seemed causative in each case. Also implicated in the onset or recurrence of oculogyric episodes were ziprasidone, quetiapine, clozapine, aripiprazole, and the first-generation antipsychotic loxapine. Follow-up ranged between 2 and 7 years. Episodes stopped after switching antipsychotic treatment in 4 cases and after stopping antipsychotic treatment in 2 cases. In the other 2 cases, recurrences were ongoing at last follow-up 2 and 6 years after onset with antipsychotic treatment continuing. We observed a high rate of tardive-onset, recurrent, and potentially chronic ocular dystonias in patients with first-episode psychosis caused by the use of second-generation antipsychotics.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".