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Publications (3)12.77 Total impact

  • Article: Predicting a 'Combined Treatment Outcome' in Chronic Schizophrenia: The Role of Demographics, Symptomatology, Functioning and Subjective -Well-being.
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    ABSTRACT: The aim of this study was to determine what variables predict a 'combined treatment outcome' (COMBOUT) in patients with chronic schizophrenia.This analysis (n=522) was based on a randomized, double-blind, flexible-dose, 12-week study that enrolled chronically-ill patients diagnosed with schizophrenia or a related disorder. COMBOUT was assessed using the PANSS for symptoms, CGI-S for overall clinical status, MADRS for depressive symptoms, QLS for functioning/QOL, and SWN-K for subjective well-being. Possible predictors included demographics as well as baseline scores (Model I), and early change (week 2) scores (Model II).Model I: significantly better outcome (higher COMBOUT score) was observed in patients with lower MADRS (T= - 6.36; p<0.001) or higher QLS (T=5.05; p<0.001) scores at baseline. Model II: significantly better COMBOUT was observed in patients with early improvement of QLS (T=4.93; p<0.001), SWN-K (T=3.88; p<0.001), PANSS (T= - 2.32; p=0.021) and CGI-S scores (T= - 2.22; p=0.027). Changes in EPS were not predictors of COMBOUT in the models tested.COMBOUT at endpoint was predicted by lower depressive symptom score and higher QOL at baseline and by early improvement in psychopathology, quality of life and subjective well-being.
    Pharmacopsychiatry 01/2013; · 2.07 Impact Factor
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    Article: The heterogeneity of antipsychotic response in the treatment of schizophrenia.
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    ABSTRACT: BACKGROUND: Schizophrenia is a heterogeneous disorder in terms of patient response to antipsychotic treatment. Understanding the heterogeneity of treatment response may help to guide treatment decisions. This study was undertaken to capture inherent patterns of response to antipsychotic treatment in patients with schizophrenia, characterize the subgroups of patients with similar courses of response, and examine illness characteristics at baseline as possible predictors of response.MethodGrowth mixture modeling (GMM) was applied to data from a randomized, double-blind, 12-week study of 628 patients with schizophrenia or schizo-affective disorder treated with risperidone or olanzapine. RESULTS: Four distinct response trajectories based on Positive and Negative Syndrome Scale (PANSS) total score over 12 weeks were identified: Class 1 (420 patients, 80.6%) with moderate average baseline PANSS total score showing gradual symptom improvement; Class 2 (65 patients, 12.5%) showing rapid symptom improvement; Class 3 (24 patients, 4.6%) with high average baseline PANSS total score showing gradual symptom improvement; and Class 4 (12 patients, 2.3%) showing unsustained symptom improvement. Latent class membership of early responders (ER) and early non-responders (ENR) was determined based on 20% symptom improvement criteria at 2 weeks and ultimate responders (UR) and ultimate non-responders (UNR) based on 40% symptom improvement criteria at 12 weeks. Baseline factors with potential influence on latent class membership were identified. CONCLUSIONS: This study identified four distinct treatment response patterns with predominant representation of responders or non-responders to treatment in these classes. This heterogeneity may represent discrete endophenotypes of response to treatment with different etiologic underpinnings.
    Psychological Medicine 10/2010; · 6.16 Impact Factor
  • Article: Candidate-gene association analysis of response to risperidone in African-American and white patients with schizophrenia.
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    ABSTRACT: Clinical trial data were evaluated for the association between 22 single-nucleotide polymorphisms (SNPs) and response in acutely ill patients diagnosed with schizophrenia, schizoaffective disorder or schizophreniform disorder, who were treated with oral risperidone. All patients in the exploratory (78 African Americans) and validation (65 whites) data sets received risperidone 2-6 mg per day over 2-12 weeks. Two SNPs were found to have significant associations with response to risperidone over 2-12 weeks in both African-American and white patients and had a consistent direction of effect in both cohorts. Metabotropic glutamate receptor (GRM3) SNP, rs724226, was associated with a change in the positive and negative syndrome scale (PANSS) total response. Catechol-O-methyltransferase (COMT) SNP, rs165599, was moderately associated with a change in the PANSS Negative score. The greater prevalence of poor-responder GRM3 and COMT alleles in white versus African-American patients might have a clinical significance in evaluating the ethnic-specific response to risperidone.
    The Pharmacogenomics Journal 06/2009; 9(5):311-8. · 4.54 Impact Factor