Correlates of severity in a clinical staging model of schizophrenia: a cross-sectional study among 158 subjects

Abstract Background Clinical staging has been widely used to predict and optimize the treatment of medical disorders. Different models have been proposed to map the development, progression, and extension of psychiatric disorders over time, mainly for schizophrenia. The primary objective of this stu...

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Main Authors: Fatima Hamieh, Souheil Hallit, Chadia Haddad, Sahar Obeid, Francois Kazour
Format: Article
Language:English
Published: BMC 2023-09-01
Series:BMC Psychiatry
Subjects:
Online Access:https://doi.org/10.1186/s12888-023-05144-6
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author Fatima Hamieh
Souheil Hallit
Chadia Haddad
Sahar Obeid
Francois Kazour
author_facet Fatima Hamieh
Souheil Hallit
Chadia Haddad
Sahar Obeid
Francois Kazour
author_sort Fatima Hamieh
collection DOAJ
description Abstract Background Clinical staging has been widely used to predict and optimize the treatment of medical disorders. Different models have been proposed to map the development, progression, and extension of psychiatric disorders over time, mainly for schizophrenia. The primary objective of this study was to classify patients with psychosis according to the McGorry staging model and compare factors between the different stages. Methods This was a cross-sectional study, collecting data from 158 patients hospitalized for schizophrenia/psychosis. The survey included the Mini International Neuropsychiatric Interview (MINI), Positive and Negative Symptom Scale (PANSS), Montgomery-Asberg Depression Rating Scale (MADRS), Yong Mania Rating Scale (YMRS), Clinical Global Impression (CGI) scale, and the McGorry staging model. Results Patients have been classified into three clinical stages: relapse of psychotic disorder (43%), multiple relapses (47.5%), and persistent and severe illness (9.5%). A higher mean duration of hospitalization, psychotic symptoms (PANSS total scale and subscales), chlorpromazine equivalent dose, and number of antipsychotic treatments were found among participants in Stage 4 as compared to the other groups. However, a significantly higher mean GAF scale was found among participants in stage 3b as compared to the other groups. Conclusion Each stage in the McGorry staging model of schizophrenia is associated with well-defined clinical presentations, which help decide the appropriate treatment. Using such models in psychiatry can improve the diagnostic process and potential therapeutic interventions for patients suffering from mental disorders.
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spelling doaj.art-7da6061bb7934683a69472d75bffe6ec2023-11-20T10:29:35ZengBMCBMC Psychiatry1471-244X2023-09-012311810.1186/s12888-023-05144-6Correlates of severity in a clinical staging model of schizophrenia: a cross-sectional study among 158 subjectsFatima Hamieh0Souheil Hallit1Chadia Haddad2Sahar Obeid3Francois Kazour4Faculty of Sciences, Lebanese UniversitySchool of Medicine and Medical Sciences, Holy Spirit University of KaslikResearch Department, Psychiatric Hospital of the CrossSocial and Education Sciences Department, School of Arts and Sciences, Lebanese American UniversityDepartment of Psychiatry, CHU AngersAbstract Background Clinical staging has been widely used to predict and optimize the treatment of medical disorders. Different models have been proposed to map the development, progression, and extension of psychiatric disorders over time, mainly for schizophrenia. The primary objective of this study was to classify patients with psychosis according to the McGorry staging model and compare factors between the different stages. Methods This was a cross-sectional study, collecting data from 158 patients hospitalized for schizophrenia/psychosis. The survey included the Mini International Neuropsychiatric Interview (MINI), Positive and Negative Symptom Scale (PANSS), Montgomery-Asberg Depression Rating Scale (MADRS), Yong Mania Rating Scale (YMRS), Clinical Global Impression (CGI) scale, and the McGorry staging model. Results Patients have been classified into three clinical stages: relapse of psychotic disorder (43%), multiple relapses (47.5%), and persistent and severe illness (9.5%). A higher mean duration of hospitalization, psychotic symptoms (PANSS total scale and subscales), chlorpromazine equivalent dose, and number of antipsychotic treatments were found among participants in Stage 4 as compared to the other groups. However, a significantly higher mean GAF scale was found among participants in stage 3b as compared to the other groups. Conclusion Each stage in the McGorry staging model of schizophrenia is associated with well-defined clinical presentations, which help decide the appropriate treatment. Using such models in psychiatry can improve the diagnostic process and potential therapeutic interventions for patients suffering from mental disorders.https://doi.org/10.1186/s12888-023-05144-6StagingSchizophreniaPsychosisMoodAntipsychotics
spellingShingle Fatima Hamieh
Souheil Hallit
Chadia Haddad
Sahar Obeid
Francois Kazour
Correlates of severity in a clinical staging model of schizophrenia: a cross-sectional study among 158 subjects
BMC Psychiatry
Staging
Schizophrenia
Psychosis
Mood
Antipsychotics
title Correlates of severity in a clinical staging model of schizophrenia: a cross-sectional study among 158 subjects
title_full Correlates of severity in a clinical staging model of schizophrenia: a cross-sectional study among 158 subjects
title_fullStr Correlates of severity in a clinical staging model of schizophrenia: a cross-sectional study among 158 subjects
title_full_unstemmed Correlates of severity in a clinical staging model of schizophrenia: a cross-sectional study among 158 subjects
title_short Correlates of severity in a clinical staging model of schizophrenia: a cross-sectional study among 158 subjects
title_sort correlates of severity in a clinical staging model of schizophrenia a cross sectional study among 158 subjects
topic Staging
Schizophrenia
Psychosis
Mood
Antipsychotics
url https://doi.org/10.1186/s12888-023-05144-6
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