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Obstetric Complications and Polygenic Risk Score: Which Role in Predicting a Severe Short-Term Outcome in Psychosis?

Overview
Journal Genes (Basel)
Publisher MDPI
Date 2021 Dec 24
PMID 34946845
Citations 2
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Abstract

Understanding and improving the outcomes of psychosis remains a major challenge for clinical research. Obstetric complications (OCs) as a risk factor for schizophrenia (SZ) have been investigated as a potential predictor of outcomes in relation to illness severity and poorer treatment outcome, but there are less reports on first episode psychosis (FEP) patients. We test whether OCs, collected in a cohort of FEP patients, can predict illness course and psychopathology severity after 2 years from the onset. Moreover, we explore whether the SZ-polygenic risk score (PRS) would predict the illness course and whether the interaction between OCS and PRS shows a significant effect. A cohort of 264 FEP patients were assessed with standardized instruments. OCs were recorded using the Lewis-Murray scale in interviews with the patients' mothers: 30% of them reported at least one OC. Patients with at least one OC were more likely to have a non-remitting course of illness compared to those without OCs (35.3% vs. 16.3%, = 0.014). No association between SZ-PRS and course of illness nor evidence for a gene-environment interaction was found. In our sample, poor short-term outcomes were associated with OCs, while SZ-PRS was not a prognostic indicator of poor outcomes.

Citing Articles

Social exclusion as a major outcome domain of psychotic disorders: early predictors, and associations with non-recovery and clinical staging 21 years after a first episode of psychosis.

Peralta V, de Jalon E, Moreno-Izco L, Peralta D, Janda L, Sanchez-Torres A Soc Psychiatry Psychiatr Epidemiol. 2024; 60(2):399-411.

PMID: 38772974 DOI: 10.1007/s00127-024-02650-0.


COMT but Not 5HTTLPR Gene Is Associated with Depression in First-Episode Psychosis: The Role of Stressful Life Events.

Tosato S, Bonetto C, De Santi K, Lasalvia A, Gennarelli M, Cristofalo D Genes (Basel). 2023; 14(2).

PMID: 36833277 PMC: 9956580. DOI: 10.3390/genes14020350.

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