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Individualizing antipsychotic treatment selection in schizophrenia: characteristics of empirically derived patient subgroups

Published online by Cambridge University Press:  16 April 2020

C.U. Correll*
Affiliation:
The Zucker Hillside Hospital Center for Translational Psychiatry, The Feinstein Institute for Medical Research, Glen Oaks, USA and Department of Psychiatry, Albert Einstein College of Medicine, New York, USA
F. Cañas
Affiliation:
Department of Psychiatry, Hospital Dr R Lafora, Madrid, Spain
I. Larmo
Affiliation:
Aurora Psychiatric Hospital, Helsinki, Finland
P. Levy
Affiliation:
Psychiatry Department, Hospital Santa Maria, Lisbon, Portugal
J.-M. Montes
Affiliation:
Psychiatric Section, Hospital del Sureste, Madrid, Spain
A. Fagiolini
Affiliation:
Department of Neuroscience, School of Medicine, University of Siena, Siena, Italy
G. Papageorgiou
Affiliation:
Department of Psychiatry, Evangelismos General Hospital, Athens, Greece
A. Rossi
Affiliation:
Department of Experimental Medicine, University of L’Aquila, L’Aquila, Italy
R. Sturlason
Affiliation:
Psychiatry Department, University Hospital of Aarhus Risskov, Århus, Denmark
M. Zink
Affiliation:
Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Mannheim, Germany
*
*Corresponding author. Tel.: ++1-718 470-4812; fax: ++1-718 343-1659. E-mail address:ccorrell@lij.edu (C. Correll).
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Abstract

Treatment of schizophrenia with antipsychotic drugs is frequently sub-optimal. One reason for this may be heterogeneity between patients with schizophrenia. The objectives of this study were to identify patient, disease and treatment attributes that are important for physicians in choosing an antipsychotic drug, and to identify empirically subgroups of patients who may respond differentially to antipsychotic drugs. The survey was conducted by structured interview of 744 randomly-selected psychiatrists in four European countries who recruited 3996 patients with schizophrenia. Information on 39 variables was collected. Multiple component analysis was used to identify dimensions that explained the variance between patients. Three axes, accounting for 99% of the variance, were associated with disease severity (64%), socioeconomic status (27%) and patient autonomy (8%). These dimensions discriminated between six discrete patient subgroups, identified using ascending hierarchical classification analysis. The six subgroups differed regarding educational level, illness severity, autonomy, symptom presentation, addictive behaviors, comorbidities and cardiometabolic risk factors. Subgroup 1 patients had moderately severe physician-rated disease and addictive behaviours (23.2%); Subgroup 2 patients were well-integrated and autonomous with mild to moderate disease (6.7%); Subgroup 3 patients were less well-integrated with mild to moderate disease, living alone (11.2%); Subgroup 4 patients were women with low education levels (5.4%), Subgroup 5 patients were young men with severe disease (36.8%); and Subgroup 6 patients were poorly-integrated with moderately severe disease, needing caregiver support (16.7%). The presence of these subgroups, which require confirmation and extension regarding potentially identifiable biological markers, may help individualizing treatment in patients with schizophrenia.

Type
Research Article
Copyright
Copyright © European Psychiatric Association 2011

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