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Two distinct patterns of treatment resistance: clinical predictors of treatment resistance in first-episode schizophrenia spectrum psychoses

Published online by Cambridge University Press:  08 September 2016

J. Lally*
Affiliation:
Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK National Psychosis Service, South London and Maudsley NHS Foundation Trust, London, UK Department of Psychiatry, Royal College of Surgeons in Ireland, Beaumont Hospital, Dublin, Ireland
O. Ajnakina
Affiliation:
Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK
M. Di Forti
Affiliation:
MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
A. Trotta
Affiliation:
Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK
A. Demjaha
Affiliation:
Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK
A. Kolliakou
Affiliation:
Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, UK
V. Mondelli
Affiliation:
National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, UK Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, UK
T. Reis Marques
Affiliation:
Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK
C. Pariante
Affiliation:
National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, UK Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, UK
P. Dazzan
Affiliation:
Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, UK
S. S. Shergil
Affiliation:
Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK National Psychosis Service, South London and Maudsley NHS Foundation Trust, London, UK National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, UK
O. D. Howes
Affiliation:
Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK MRC Clinical Sciences Centre (Imperial Hammersmith Campus)
A. S. David
Affiliation:
Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, UK
J. H. MacCabe
Affiliation:
Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK National Psychosis Service, South London and Maudsley NHS Foundation Trust, London, UK
F. Gaughran
Affiliation:
Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK National Psychosis Service, South London and Maudsley NHS Foundation Trust, London, UK
R. M. Murray
Affiliation:
Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK National Psychosis Service, South London and Maudsley NHS Foundation Trust, London, UK
*
*Address for correspondence: Dr J. Lally, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK. (Email: john.lally@kcl.ac.uk)
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Abstract

Background

Clozapine remains the only evidence-based antipsychotic for treatment-resistant schizophrenia (TRS). The ability to predict which patients with their first onset of schizophrenia would subsequently meet criteria for treatment resistance (TR) could help to diminish the severe functional disability which may ensue if TR is not recognized and correctly treated.

Method

This is a 5-year longitudinal assessment of clinical outcomes in a cohort of 246 first-episode schizophrenia spectrum patients recruited as part of the NIHR Genetics and Psychosis (GAP) study conducted in South London from 2005 to 2010. We examined the relationship between baseline demographic and clinical measures and the emergence of TR. TR status was determined from a review of electronic case records. We assessed for associations with early-, and late-onset TR, and non-TR, and differences between those TR patients treated with clozapine and those who were not.

Results

Seventy per cent (n = 56) of TR patients, and 23% of the total study population (n = 246) were treatment resistant from illness onset. Those who met criteria for TR during the first 5 years of illness were more likely to have an early age of first contact for psychosis (<20 years) [odds ratio (OR) 2.49, 95% confidence interval (CI) 1.25–4.94] compared to those with non-TR. The relationship between an early age of first contact (<20 years) and TR was significant in patients of Black ethnicity (OR 3.71, 95% CI 1.44–9.56); and patients of male gender (OR 3.13 95% CI 1.35–7.23).

Conclusions

For the majority of the TR group, antipsychotic TR is present from illness onset, necessitating increased consideration for the earlier use of clozapine.

Information

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2016 
Figure 0

Fig. 1. Flow chart of traced cases and administrative outcomes.

Figure 1

Table 1. Baseline sample characteristics for the non-treatment-resistance (TR) and TR groups

Figure 2

Table 2. Baseline clinical predictors of treatment resistance (TR) in a sample with schizophrenia spectrum disorder

Figure 3

Table 3. Age at first contact as a baseline predictor of treatment resistance in a sample with schizophrenia spectrum disorder stratified by gender and ethnicity

Supplementary material: File

Lally supplementary material

Tables S1-S4

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