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Identification and Treatment Response Prediction of Antipsychotic-Related Metabolic Syndrome

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National Taiwan University

Status

Completed

Conditions

Metabolic Syndrome X

Treatments

Drug: aripiprazole
Drug: amisulpride

Study type

Interventional

Funder types

Other

Identifiers

NCT00956189
200812110M

Details and patient eligibility

About

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.

Enrollment

132 patients

Sex

All

Ages

20+ years old

Volunteers

No Healthy Volunteers

Inclusion and exclusion criteria

Stage I for identification of metabolic syndrome:

Inclusion Criteria:

  • A diagnosis of schizophrenia, schizoaffective disorder, delusional disorder, mood disorders, or anxiety disorders based on DSM-IV-TR criteria.
  • Age at least 20 years old.
  • The current antipsychotic drugs have been used for at least 3 months before evaluation.
  • Psychiatrically stable with Clinical Global Impression of Severity scale (CGI-S) not greater than 5

Exclusion Criteria:

  • Severe uncontrolled medical illnesses, including cardiovascular, hepatic, renal and metabolic diseases (eg. cancer, poor-control hypertension, diabetes mellitus, and other metabolic diseases).
  • Organic mental or neurological disorder, substance abuse or dependence (alcohol, amphetamine, heroin).
  • Pregnant or breast-feeding women.
  • Patients from Yuli Veterans Hospital, who attended our previous study of identification model.

Stage II for switch response:

Inclusion Criteria:

  • The same as Stage I criteria.
  • Fulfill the metabolic syndrome criteria.

Exclusion Criteria:

  • The same as Stage I criteria except the 4th item.
  • Treated with depot form of antipsychotics.

Trial design

Primary purpose

Treatment

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Single Blind

132 participants in 2 patient groups

Amisulpride
Experimental group
Description:
A slow plateau cross-titration method was used to switch original antipsychotics to Amisulpride.
Treatment:
Drug: amisulpride
Aripiprazole
Experimental group
Description:
A slow plateau cross-titration method was used to switch original antipsychotics to Aripiprazole.
Treatment:
Drug: aripiprazole

Trial contacts and locations

3

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Data sourced from clinicaltrials.gov

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