Identification and Treatment Response Prediction of Antipsychotic-Related Metabolic Syndrome

January 2, 2013 updated by: National Taiwan University Hospital

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

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.

Study Overview

Status

Completed

Study Type

Interventional

Enrollment (Actual)

132

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Taipei, Taiwan, 10002
        • National Taiwan University Hospital
    • Hualien County
      • Yu-Li, Hualien County, Taiwan, 981
        • Yu-Li Hospital
      • Yu-Li, Hualien County, Taiwan, 981
        • Yu-Li Veterans Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

20 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Amisulpride
A slow plateau cross-titration method was used to switch original antipsychotics to Amisulpride.
Amisulpride dosage was increased from 200 up to a maximum of 1000 mg/day and the dosage of their previous antipsychotics can be tapered gradually under stable clinical condition.
Other Names:
  • Solian
Experimental: Aripiprazole
A slow plateau cross-titration method was used to switch original antipsychotics to Aripiprazole.
Aripiprazole dosage was increased from 5-7.5 up to a maximum of 30 mg/day and the dosage of their previous antipsychotics can be tapered gradually under stable clinical condition.
Other Names:
  • Abilify

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Metabolic profile
Time Frame: half/one year
half/one year

Secondary Outcome Measures

Outcome Measure
Time Frame
Clinical efficacy
Time Frame: half/one year
half/one year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Chao-Cheng Lin, M.D.,Ph.D., National Taiwan University Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

November 1, 2009

Primary Completion (Actual)

August 1, 2012

Study Completion (Actual)

October 1, 2012

Study Registration Dates

First Submitted

August 10, 2009

First Submitted That Met QC Criteria

August 10, 2009

First Posted (Estimate)

August 11, 2009

Study Record Updates

Last Update Posted (Estimate)

January 3, 2013

Last Update Submitted That Met QC Criteria

January 2, 2013

Last Verified

November 1, 2012

More Information

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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