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Early identification of treatment non-response in first-episode psychosis

Published online by Cambridge University Press:  14 March 2023

Kristin Fjelnseth Wold*
Affiliation:
NORMENT, Centre of Excellence, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
Akiah Ottesen
Affiliation:
NORMENT, Centre of Excellence, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway Norwegian Centre for Violence and Traumatic Stress Studies, Oslo, Norway
Bärthel Flaaten Camilla
Affiliation:
NORMENT, Centre of Excellence, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway Department of Psychology, Faculty of Social Sciences, University of Oslo, Oslo, Norway
Erik Johnsen
Affiliation:
NORMENT, Centre of Excellence, Haukeland University Hospital, Bergen, Norway Department of Clinical Medicine, University of Bergen, Haukeland University Hospital, Bergen, Norway Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
Trine Vik Lagerberg
Affiliation:
NORMENT, Centre of Excellence, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
Kristin Lie Romm
Affiliation:
NORMENT, Centre of Excellence, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway Early Intervention in Psychosis Advisory Unit for Southeast Norway, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
Carmen Simonsen
Affiliation:
NORMENT, Centre of Excellence, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway Early Intervention in Psychosis Advisory Unit for Southeast Norway, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
Torill Ueland
Affiliation:
NORMENT, Centre of Excellence, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway Department of Psychology, Faculty of Social Sciences, University of Oslo, Oslo, Norway
Line Widing
Affiliation:
NORMENT, Centre of Excellence, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
Gina Åsbø
Affiliation:
NORMENT, Centre of Excellence, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
Ingrid Melle
Affiliation:
NORMENT, Centre of Excellence, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
*
*Author for correspondence: Kristin Fjelnseth Wold, Email: k.f.wold@medisin.uio.no

Abstract

Background

Approximately one-third of patients with psychotic disorders does not respond to standard antipsychotic treatments. Consensus criteria for treatment resistance (TR) may aid the identification of non-response and subsequent tailoring of treatments. Since consensus criteria require stability of clinical status, they are challenging to apply in first-episode psychosis (FEP). This study aims to investigate (a) if an adaptation of consensus criteria can be used to identify FEP patients with early signs of TR (no early clinical recovery—no-ECR) after 1 year in treatment and (b) to what extent differences in antipsychotic treatments differentiate between outcome groups.

Methods

Participants with FEP DSM-IV schizophrenia spectrum disorders were recruited during their first treatment. A total of 207 participated in the 1-year follow-up. Remission and recovery definitions were based on adaptations of the “Remission in Schizophrenia Working Group” criteria and TR on adaptations of the “Treatment Response and Resistance in Psychosis” (TRRIP) working group criteria.

Results

97 participants (47%) could be classified as no-ECR, 61 (30%) as ECR, and 49 (23%) as with partial ECR (P-ECR). Statistically significant baseline predictors of no-ECR matched previously identified predictors of long-term TR. Only 35 no-ECR participants had two adequate treatment trials and met the full TRRIP criteria. 21 no-ECR participants were using the same medication over the follow-up year despite the lack of significant effects.

Conclusion

The difference in the percentage of FEP participants classified as no-ECR versus TR indicates that we may underestimate the prevalence of early TR when using consensus criteria.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the European Psychiatric Association
Figure 0

Table 1. RSWG-based criteria for remission and TRRIP criteria for TR.

Figure 1

Figure 1. Steps in the definition of the different outcome groups. FEP, first-episode psychosis; CR, clinical recovery; ECR, early clinical recovery; no-ECR, no early clinical recovery; P-ECR, partial early clinical recovery; TR, treatment resistant; 1Y-FU, 1-year follow-up.

Figure 2

Table 2. Summary statistics and comparisons of demographic, premorbid, and clinical characteristics of the adapted outcome groups, stratified by outcome group.

Figure 3

Table 3. Ordinal regression analysis (PO model) showing variables that had statistically significant independent contributions to the predicted outcome group membership at 1-year follow-up.

Figure 4

Table 4. Summary statistics and comparisons of antipsychotic treatment at 1-year follow-up, stratified by outcome groups.

Supplementary material: File

Wold et al. supplementary material

Figure S1 and Tables S2-S7

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