SA111. Changes in Symptom Content From a Clinical High-Risk State to Conversion
Notice bibliographique
Résumé
Background: Recent studies have focused on examining the transition to psychosis from a clinical high-risk (CHR) state. The presence and severity of the attenuated psychotic symptoms has often been the focus of attention, whereas the content of these symptoms has received less attention. Symptom content has been found to be of importance in both those with schizophrenia and those at CHR for psychosis. For example, specific life events, such as different types of trauma, have been found to impact the content of attenuated psychotic symptoms. The aim of the current study was to examine the change in symptom content from baseline to conversion in those at CHR for psychosis. Methods: The sample consisted of 15 participants (9 males and 6 females) who transitioned to a first episode of psychosis from a sample of 135 CHR individuals. Comprehensive clinical vignettes were written at baseline and at the time of conversion to psychosis. These vignettes contained the content elicited from participants based on the Scale of Prodromal Symptoms (SOPS) found within the Structured Interview for Psychosis-Risk Syndromes (SIPS). Raters were trained using the Content of Attenuated Psychotic Symptoms (CAPS) codebook to assess the presence or absence of specific symptom content found within the positive symptoms of unusual thought content, suspicious ideas, grandiose ideas, and perceptual abnormalities. Results: The average number of days from baseline to conversion was 296. Participants were diagnosed with a range of psychotic diagnoses at conversion including psychosis not otherwise specified (n = 8), schizopreniform disorder (n = 2), schizoaffective disorder (n = 1), depression with psychotic features (n = 1), and 3 were undetermined. Two main changes emerged regarding the content of attenuated psychotic symptoms that progressed to full blown psychotic symptoms. First, content that was vague and lacked intensity progressed to more concrete and severe symptom content. For example, the presence of feeling the need to be hypervigilant at baseline progressed to the definite belief that one was being watched. Second, new symptoms appeared whose onset occurred for the first time at conversion. For example, hearing voices telling participants to harm family members appeared at conversion but was absent at baseline. Conclusion: Participants experienced a shift in their symptom content from baseline to conversion. Two main types of changes occurred, including an increase in the severity of symptom content from baseline to conversion and the appearance of new symptoms at conversion only. Not only is it important to assess the increasing severity of symptoms in the CHR population, but it is also important to monitor the change and progression of content within positive symptoms.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».