Metformin for Treatment Antipsychotic-induced Metabolic Syndrome in Bipolar Disorder Patients
- Registration Number
- NCT02644577
- Lead Sponsor
- China Medical University, China
- Brief Summary
The purpose of this study is to test the efficacy of metformin for treatment antipsychotic-induced metabolic syndrome in bipolar disorder patients.
- Detailed Description
Patients aged 18 to 45 years with bipolar disorder diagnosed in accordance with criteria set out in the Diagnostic and Statistical Manual of Mental Disorders- Fourth Edition (DSM-IV) were eligible for our study, and the Structured Clinical Interview of DSM-IV Axis I Disorders (SCID-1), Clinical Version, was used during the screening phase. To be qualified for this study, patients had to meet, 1) have experienced metabolic syndrome as defined below within the first year of treatment with one of four antipsychotics-clozapine, olanzapine, risperidone, or sulpiride; 2) had been either discharged from inpatient units or first visit in the outpatient clinic in the 12 months before enrollment, and their glucose and lipid levels, weight, blood pressure and antipsychotic treatment were documented; 3) had taken single antipsychotic medication, with no more than a 25% change in dosage, over the past 3 months. All participants had to be under the care of a parent or another adult caregiver who monitored and recorded the intake of medication daily during the trial to assure the adherence to medication. Patients were excluded from the study if there was evidence of liver or renal dysfunction, cardiovascular disease, or diabetes mellitus; or if they were pregnant or lactating; or had any psychiatric diagnosis other than schizophrenia.
The primary outcome was the level of LDL-C or the percentage of patients who had LDL-C greater or equal 3.37mmol/L (130mg/dl). The secondary outcomes were fasting triglyceride, total cholesterol, HDL-C, insulin and glucose levels, insulin resistance index, body weight and body mass index, as well as incidence of adverse events. Body mass index was calculated as weight in kilograms divided by height in meters squared. Insulin resistance index was calculated based on the homeostasis model assessment as: fasting insulin (mIU/L)×fasting glucose (mmol/L)/22.5. the assessment was conducted by members of a trained independent research team connected to the centre. Inclusion or exclusion was decided by the team. After a complete description of the study to the subjects, written informed consent was obtained in accordance with National Health and Medical Research Council guidelines.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 110
- clinical diagnosis of bipolar disorder
- have experienced metabolic syndrome as defined below within the first year of treatment with one of four antipsychotics-clozapine, olanzapine, risperidone, or sulpiride
- had been either discharged from inpatient units or first visit in the outpatient clinic in the 12 months before enrollment, and their glucose and lipid levels, weight, blood pressure and antipsychotic treatment were documented
- had taken single antipsychotic medication, with no more than a 25% change in dosage, over the past 3 months
- must be under the care of a parent or another adult caregiver who monitored and recorded the intake of medication daily during the trial to assure the adherence to medication
- any psychiatric diagnosis other than schizophrenia
- liver dysfunction
- renal dysfunction
- cardiovascular disease
- diabetes mellitus
- pregnancy
- lactation period
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Arm && Interventions
Group Intervention Description placebo group Starch starch metformin group Metformin Metformin 1000mg/day
- Primary Outcome Measures
Name Time Method the percentage of patients who had metabolic syndrome week 24
- Secondary Outcome Measures
Name Time Method blood pressure week 24 body mass index week 24 lipid levels week 24 fasting glucose week 24
Trial Locations
- Locations (1)
Department of Psychiatry, the First Hospital of China Medical University
🇨🇳Shenyang, Liaoning, China