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The first purpose of this study is to determine if dopamine synthesis capacity is significantly lower in treatment non-responders from illness onset relative to treatment responders. And the second purpose of this study is to determine the potential of [18 fluorine(F)]-DOPA to be used to predict treatment response to antipsychotic treatment in first episode psychosis.
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Schizophrenia is amongst the leading causes of global disability in adults. A major factor underlying this is that about 30% of patients show little or no response to first-line antipsychotic drugs. There is one drug, clozapine, with proven efficacy in these patients. However, currently there are no good predictors of treatment non-response and consequently patients have to undergo empirical trials with first-line drugs. This contributes to the long delays, on average 4-5 years, seen in identifying and starting patients on clozapine. Furthermore, clozapine is poorly tolerated and has potentially life-threatening side-effects, which mean that the investigators desperately need new, alternative drugs. Lack of understanding of the neurobiological basis underlying non-response has impeded the development of alternatives to clozapine in the past. However recently it has been shown that non-responders show reduced dopamine synthesis capacity relative to patients who have responded to antipsychotics. The effect size for this difference is very large, d>1.2. This study was cross-sectional, in patients who had already received antipsychotic treatment for a number of years. The key questions now are thus:
To test this the investigators are going to investigate the relationship between presynaptic dopamine dysfunction and antipsychotic responsiveness in a prospective study.
For this, the investigators are going to measure striatal dopamine synthesis capacity using [18 fluorine(F)]DOPA positron emission tomography in drug-naïve first episode psychosis and determine treatment response after 6 weeks of treatment with amisulpride. Response will be defined as a >30% reduction in symptom ratings on the Positive and Negative Syndrome Scale.
The effect size in our cross-sectional study was d=1.3. Based on this effect size a sample size of 12 per group will have >80% power to detect a group difference with p<0.05 2-tailed using an independent t-test. Given a non-response rate of 30% the investigators will thus require 40 patients at baseline to get 12 non-responders. To allow for 20% drop-outs we will require 50 patients at baseline.
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62 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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