scholarly journals T29. TREATMENT AND GLOBAL FUNCTIONING IN YOUTH AT CLINICAL HIGH RISK FOR PSYCHOSIS: A SYSTEMATIC REVIEW AND META-ANALYSIS

2019 ◽  
Vol 45 (Supplement_2) ◽  
pp. S214-S214 ◽  
Author(s):  
Dan Devoe ◽  
Jean Addington
Author(s):  
Julio Vaquerizo-Serrano ◽  
Gonzalo Salazar de Pablo ◽  
Jatinder Singh ◽  
Paramala Santosh

AbstractPsychotic experiences can occur in autism spectrum disorders (ASD). Some of the ASD individuals with these experiences may fulfil Clinical High-Risk for Psychosis (CHR-P) criteria. A systematic literature search was performed to review the information on ASD and CHR-P. A meta-analysis of the proportion of CHR-P in ASD was conducted. The systematic review included 13 studies. The mean age of ASD individuals across the included studies was 11.09 years. The Attenuated Psychosis Syndrome subgroup was the most frequently reported. Four studies were meta-analysed, showing that 11.6% of CHR-P individuals have an ASD diagnosis. Symptoms of prodromal psychosis may be present in individuals with ASD. The transition from CHR-P to psychosis is not affected by ASD.


2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S94-S95
Author(s):  
Andrea De Micheli ◽  
Albertine van Lawick van Pabst ◽  
Enass Yossef ◽  
Philip McGuire ◽  
Paolo Fusar-Poli

Abstract Background There is converging evidence that youths at clinical high risk (CHR) are not only likely to develop the first episode of psychosis but also to develop poor physical outcomes. Some physical health risk factors - such as smoking - have been shown to increase the probability of a frank onset of psychosis in those at risk. A meta-analysis conducted in psychotic patients confirmed that daily tobacco use is associated with an increased risk of psychosis. A significant association between any attenuated psychotic symptoms (that characterize CHR state) and cigarette smoking has been recently shown in a study conducted in South London. Nowadays, it is not completely clear how these findings would translate to the CHR population but a better understanding of how physical health parameters could affect psychopathological outcomes could be beneficial for these vulnerable clinical populations. To shed light on the percentage of smokers in CHR populations, an updated systematic review and meta-analysis of the literature has been carried out. Our main aim was to test whether the probability of being a smoker was higher in the CHR subjects or in the control group. Methods The literature search was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. We systematically scrutinized from literature inception to 2019 the following on-line databases: Web of Science Core Collection, BIOSIS Citation Index, KCL-Korean Journal Database, MEDLINE, Russian Science Citation Index, SCiELO Citation Index. We have considered all the relevant studies reporting the smoking status in CHR subjects and in control groups. We used the odds ratio (OR) as effect size measure and data were pooled using a random effect approach. Results Preliminary data show that CHR individuals were more likely to use tobacco that matched healthy controls. Specifically, the overall OR of 2.016 (p<.001 95%CI=1.476–2.749) indicated a higher likelihood that CHR individuals would use tobacco compared to controls. Heterogeneity was not significant (I²=30.193 p=0.11). The visual inspection of funnel plots did not reveal a clear suggestion for publication bias and the Egger’s test was non-significant (p=0.10). Discussion Our systematic review and meta-analysis suggest that is crucial to investigate physical health outcomes such as tobacco use as part of clinical practice in CHR services. Unfortunately, current CHR assessment tools are entirely based on the measurement of psychopathological features and do not include an assessment of these parameters on a regular basis.


2016 ◽  
Vol 71 ◽  
pp. 680-690 ◽  
Author(s):  
Anna Walter ◽  
Claudia Suenderhauf ◽  
Fabienne Harrisberger ◽  
Claudia Lenz ◽  
Renata Smieskova ◽  
...  

2014 ◽  
Vol 130 (1) ◽  
pp. 1-15 ◽  
Author(s):  
E. Bora ◽  
A. Lin ◽  
S. J. Wood ◽  
A. R. Yung ◽  
P. D. McGorry ◽  
...  

2019 ◽  
Vol 46 (1) ◽  
pp. 110-120 ◽  
Author(s):  
Dominic Oliver ◽  
Thomas J Reilly ◽  
Ottone Baccaredda Boy ◽  
Natalia Petros ◽  
Cathy Davies ◽  
...  

AbstractTwenty percent of individuals at clinical high risk for psychosis (CHR-P) develop the disorder within 2 years. Extensive research has explored the factors that differentiate those who develop psychosis and those who do not, but the results are conflicting.The current systematic review and meta-analysis comprehensively addresses the consistency and magnitude of evidence for non-purely genetic risk and protective factors associated with the risk of developing psychosis in CHR-P individuals. Random effects meta-analyses, standardized mean difference (SMD) and odds ratio (OR) were used, in combination with an established stratification of evidence that assesses the association of each factor and the onset of psychotic disorders (from class I, convincing evidence to class IV weak evidence), while controlling for several types of biases.A total of 128 original controlled studies relating to 26 factors were retrieved. No factors showed class I-convincing evidence. Two further factors were associated with class II-highly suggestive evidence: attenuated positive psychotic symptoms (SMD = 0.348, 95% CI: 0.280, 0.415) and global functioning (SMD = −0.291, 95% CI: −0.370, −0.211). There was class III-suggestive evidence for negative psychotic symptoms (SMD = 0.393, 95% CI: 0.317, 0.469). There was either class IV-weak or no evidence for all other factors.Our findings suggest that despite the large number of putative risk factors investigated in the literature, only attenuated positive psychotic symptoms, global functioning, and negative psychotic symptoms show suggestive evidence or greater for association with transition to psychosis. The current findings may inform the refinement of clinical prediction models and precision medicine in this field.


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