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Identification of Risk Factors to Predict the Occurrences of Relapses in Individuals with Schizophrenia Spectrum Disorder in Iran
Schizophrenia Spectrum Disorder (SSD) is a chronic psychiatric disorder with a modest treatment outcome. In addition, relapses are commonplace. Here, we sought to identify factors that predict relapse latency and frequency. To this end, we retrospectively analyzed data for individuals with SSD. Medi...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7827717/ https://www.ncbi.nlm.nih.gov/pubmed/33440817 http://dx.doi.org/10.3390/ijerph18020546 |
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author | Davarinejad, Omran Mohammadi Majd, Tahereh Golmohammadi, Farzaneh Mohammadi, Payam Radmehr, Farnaz Alikhani, Mostafa Motaei, Tayebeh Moradinazar, Mehdi Brühl, Annette Sadeghi Bahmani, Dena Brand, Serge |
author_facet | Davarinejad, Omran Mohammadi Majd, Tahereh Golmohammadi, Farzaneh Mohammadi, Payam Radmehr, Farnaz Alikhani, Mostafa Motaei, Tayebeh Moradinazar, Mehdi Brühl, Annette Sadeghi Bahmani, Dena Brand, Serge |
author_sort | Davarinejad, Omran |
collection | PubMed |
description | Schizophrenia Spectrum Disorder (SSD) is a chronic psychiatric disorder with a modest treatment outcome. In addition, relapses are commonplace. Here, we sought to identify factors that predict relapse latency and frequency. To this end, we retrospectively analyzed data for individuals with SSD. Medical records of 401 individuals with SSD were analyzed (mean age: 25.51 years; 63.6% males) covering a five-year period. Univariate and multivariate Penalized Likelihood Models with Shared Log-Normal Frailty were used to determine the correlation between discharge time and relapse and to identify risk factors. A total of 683 relapses were observed in males, and 422 relapses in females. The Relapse Hazard Ratio (RHR) decreased with age (RHR = 0.99, CI: (0.98–0.998)) and with participants’ adherence to pharmacological treatment (HR = 0.71, CI: 0.58–0.86). In contrast, RHR increased with a history of suicide attempts (HR = 1.32, CI: 1.09–1.60), and a gradual compared to a sudden onset of disease (HR = 1.45, CI: 1.02–2.05). Gender was not predictive. Data indicate that preventive and therapeutic interventions may be particularly important for individuals who are younger at disease onset, have a history of suicide attempts, have experienced a gradual onset of disease, and have difficulties adhering to medication. |
format | Online Article Text |
id | pubmed-7827717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-78277172021-01-25 Identification of Risk Factors to Predict the Occurrences of Relapses in Individuals with Schizophrenia Spectrum Disorder in Iran Davarinejad, Omran Mohammadi Majd, Tahereh Golmohammadi, Farzaneh Mohammadi, Payam Radmehr, Farnaz Alikhani, Mostafa Motaei, Tayebeh Moradinazar, Mehdi Brühl, Annette Sadeghi Bahmani, Dena Brand, Serge Int J Environ Res Public Health Article Schizophrenia Spectrum Disorder (SSD) is a chronic psychiatric disorder with a modest treatment outcome. In addition, relapses are commonplace. Here, we sought to identify factors that predict relapse latency and frequency. To this end, we retrospectively analyzed data for individuals with SSD. Medical records of 401 individuals with SSD were analyzed (mean age: 25.51 years; 63.6% males) covering a five-year period. Univariate and multivariate Penalized Likelihood Models with Shared Log-Normal Frailty were used to determine the correlation between discharge time and relapse and to identify risk factors. A total of 683 relapses were observed in males, and 422 relapses in females. The Relapse Hazard Ratio (RHR) decreased with age (RHR = 0.99, CI: (0.98–0.998)) and with participants’ adherence to pharmacological treatment (HR = 0.71, CI: 0.58–0.86). In contrast, RHR increased with a history of suicide attempts (HR = 1.32, CI: 1.09–1.60), and a gradual compared to a sudden onset of disease (HR = 1.45, CI: 1.02–2.05). Gender was not predictive. Data indicate that preventive and therapeutic interventions may be particularly important for individuals who are younger at disease onset, have a history of suicide attempts, have experienced a gradual onset of disease, and have difficulties adhering to medication. MDPI 2021-01-11 2021-01 /pmc/articles/PMC7827717/ /pubmed/33440817 http://dx.doi.org/10.3390/ijerph18020546 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Davarinejad, Omran Mohammadi Majd, Tahereh Golmohammadi, Farzaneh Mohammadi, Payam Radmehr, Farnaz Alikhani, Mostafa Motaei, Tayebeh Moradinazar, Mehdi Brühl, Annette Sadeghi Bahmani, Dena Brand, Serge Identification of Risk Factors to Predict the Occurrences of Relapses in Individuals with Schizophrenia Spectrum Disorder in Iran |
title | Identification of Risk Factors to Predict the Occurrences of Relapses in Individuals with Schizophrenia Spectrum Disorder in Iran |
title_full | Identification of Risk Factors to Predict the Occurrences of Relapses in Individuals with Schizophrenia Spectrum Disorder in Iran |
title_fullStr | Identification of Risk Factors to Predict the Occurrences of Relapses in Individuals with Schizophrenia Spectrum Disorder in Iran |
title_full_unstemmed | Identification of Risk Factors to Predict the Occurrences of Relapses in Individuals with Schizophrenia Spectrum Disorder in Iran |
title_short | Identification of Risk Factors to Predict the Occurrences of Relapses in Individuals with Schizophrenia Spectrum Disorder in Iran |
title_sort | identification of risk factors to predict the occurrences of relapses in individuals with schizophrenia spectrum disorder in iran |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7827717/ https://www.ncbi.nlm.nih.gov/pubmed/33440817 http://dx.doi.org/10.3390/ijerph18020546 |
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