Hostname: page-component-84c44f86f4-pqzqq Total loading time: 0 Render date: 2025-10-14T13:50:32.653Z Has data issue: false hasContentIssue false

Predictive Factors of Treatment-Resistant Schizophrenia

Published online by Cambridge University Press:  26 August 2025

I. Bouamoud*
Affiliation:
University Psychiatric Hospital Arrazi, Salé, Morocco
N. Barkallil
Affiliation:
University Psychiatric Hospital Arrazi, Salé, Morocco
S. Belbachir
Affiliation:
University Psychiatric Hospital Arrazi, Salé, Morocco
A. Ouanass
Affiliation:
University Psychiatric Hospital Arrazi, Salé, Morocco
*
*Corresponding author.

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Introduction

Schizophrenia is a complex, chronic psychiatric disorder marked by disruptions in thought processes, perception, social interactions, and emotional regulation. Despite various therapeutic options, 20–34% of patients develop treatment-resistant schizophrenia (TRS)¹, a condition associated with a poor prognosis and significant challenges in clinical management. Early identification of predictive factors for treatment resistance may enable more targeted interventions, ultimately improving patient outcomes by allowing for tailored treatment approaches.

Objectives

This study aims to identify early predictive factors for the progression to TRS, differentiate modifiable from non-modifiable factors, and determine prognostic indicators for schizophrenia. The goal is to facilitate early intervention for high-risk cases and prevent TRS by targeting modifiable factors.

Methods

This is a descriptive and an analytical retrospective study including patients diagnosed with TRS according to NICE criteria, treated with Clozapine, and hospitalized at the Ar-Razi Psychiatric Hospital in Salé between 2022 and 2024. Included cases meet specific criteria, such as complete clinical records and the need for Clozapine treatment, with no age restrictions. Sociodemographic, clinical, evolutionary, and therapeutic data are collected using Excel and analyzed using SPSS 20 software.

Results

Among the 126 TRS cases included, several risk factors were identified. Non-modifiable factors include age, family history, and the presence of negative symptoms, while modifiable factors include the duration of untreated illness and certain comorbidities.

Conclusions

The results of this study provide valuable insights into risk factors associated with TRS and guide specific management and prevention strategies for this subgroup of schizophrenia patients.

Disclosure of Interest

None Declared

Information

Type
Abstract
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 (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of European Psychiatric Association
Submit a response

Comments

No Comments have been published for this article.