M216. ASSOCIATIONS OF EXTRAPYRAMIDAL SYMPTOMS WITH PSYCHOTIC SYMPTOMS IN A COHORT OF HOMELESS OR PRECARIOUSLY HOUSED PERSONS WITH OR WITHOUT SCHIZOPHRENIA
Notice bibliographique
Résumé
Abstract Background There is considerable evidence supporting the association between extrapyramidal symptoms (EPS) and psychotic symptoms in patients with schizophrenia (SCZ). However, it is not well understood whether such an association exists in individuals without SCZ and how the association differs from those with SCZ. Our aim was to examine the associations of EPS with psychotic symptoms and compare them between SCZ and non-SCZ individuals. Methods We used data from a 10-year community-based study of homeless or precariously housed persons from Vancouver, Canada. Diagnosis of SCZ was made according to the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV-TR). Severity of psychotic symptoms was rated using the Positive and Negative Syndrome Scale (PANSS). Severity of parkinsonism, dyskinesia, and dystonia was rated using the Extrapyramidal Symptom Rating Scale (ESRS), and akathisia using the Barnes Akathisia Rating Scale (BARS). Presence of EPS was defined as having at least moderate severity on the ESRS (i.e., ≥4 out of 8) or BARS (i.e., ≥3 out of 5) Clinical Global Impression-Severity (CGI-S) scale. Absence of EPS was defined as scoring ≤2 on the ESRS or ≤1 on the BARS CGI-S scale. Two-way analysis of covariance was performed using SCZ and EPS as independent variables and PANSS five factors (i.e., positive symptoms, negative symptoms, disorganization, excitement, and depression) as dependent variables, controlling for age, antipsychotic users, and cocaine- or methamphetamine-dependent individuals. Multiple linear regression analysis was performed for both SCZ and non-SCZ groups, controlling for the same confounding variables, to examine 1) associations of the severity of EPS subtypes with PANSS factors and 2) whether the presence of multiple EPS subtypes would be associated with increased SCZ symptoms relative to the presence of a single subtype. Results A total of 223 participants were included in this study (mean age: 44.1 ± 12.0 years; 76.1% male). Eighty-four participants met the diagnosis of SCZ, of whom 39 met our criteria for having EPS and 32 for not having EPS. The remaining 139 participants were not diagnosed with SCZ, of whom 50 had EPS and 72 did not. None of the participants had clinically significant dystonia. Overall, significant main effects of EPS were found for total symptoms (F1,182 = 24.4, p < 0.001), negative symptoms (F1,182 = 16.3, p < 0.001), disorganization (F1,181 = 16.6, p < 0.001), and excitement (F1,182 = 15.8, p < 0.001), but not positive symptoms or depression. The presence of EPS was associated with greater total symptoms and disorganization in both SCZ and non-SCZ groups. Significant interaction effects between SCZ and EPS were found for negative symptoms (F1,182 = 6.0, p = 0.015) and excitement (F1,182 = 3.9, p = 0.050), where the presence of EPS was associated with greater negative symptoms and excitement in SCZ participants, but not in non-SCZ participants. Consistent in both SCZ and non-SCZ groups, there were significant positive associations of the severity of 1) parkinsonism with negative symptoms, 2) dyskinesia with disorganization and total symptoms, and 3) akathisia with excitement. The presence of multiple EPS subtypes, relative to a single subtype, was not associated with significant increases in any SCZ symptoms, except a significant increase in excitement in non-SCZ participants. Discussion The presence of EPS is clearly associated with greater symptoms of SCZ, even in individuals without SCZ. People with SCZ may experience greater negative symptoms and excitement as a result of EPS than those without SCZ. Subtypes of EPS are distinctively associated with factors of SCZ symptoms. Future studies should elucidate the mechanisms underlying these associations.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| 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 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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 ».