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Identification and Treatment Response Prediction of Antipsychotic-Related Metabolic Syndrome

Metabolic Syndrome X Clinical Trial

Official title:
Easy Identification, Treatment Response Prediction, and Molecular Mechanism Exploration of Antipsychotic-related Metabolic Syndrome

Clinical Trial Summary

The investigators developed an easy identification model to identify metabolic syndrome in patients with schizophrenia or schizoaffective disorder who received treatment of clozapine, olanzapine, or risperidone. The accuracy of the investigators' models showed well. In the study, the investigators aim to (1) to examine whether the developed identification models can be generalized to patients taking other antipsychotics or patients with other diagnoses; (2) to develop an easy risk score and validate it; (3) to switch antipsychotics to amisulpride or aripiprazole for those with metabolic syndrome, and compare the changes of metabolic parameters including adiponectin, and analyze their association with genetic variants, demography, and clinical variables; (4) to establish models using artificial neural network and statistic method to predict metabolic response after a switch to amisulpride or aripiprazole; (5) to investigate the effect of antipsychotics on adiponectin gene expression and secretion during the differentiation process of 3T3L1 adipocytes.

Clinical Trial Description

n/a

Study Design

Allocation: Randomized, Endpoint Classification: Safety/Efficacy Study, Intervention Model: Parallel Assignment, Masking: Single Blind (Outcomes Assessor), Primary Purpose: Treatment

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT00956189
Study type Interventional
Source National Taiwan University Hospital
Contact
Status Completed
Phase N/A
Start date November 2009
Completion date October 2012
View Details
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