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Differential Treatment Responses in Pakistani Schizophrenia Samples: Correlation with Sociodemographic Parameters, Drug Addiction, Attitude to the Treatment and Antipsychotic Agents

Schizophrenia patients demonstrate variations in response to different therapies that are currently being used for the treatment of disorders, such as augmentation therapy (ECT or mood stabilizer) and combination therapy (with antipsychotics). These therapies are also used to treat schizophrenia pat...

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Autores principales: Habiba, Umme, Malik, Aafia, Raja, Ghazala Kaukab, Memon, Muhammad Raza, Nizami, Asad Tameezud din, Ishaq, Rafaqat, Ilyas, Muhammad, Valadi, Hadi, Nawaz, Muhammad, Shaiq, Pakeeza Arzoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10046393/
https://www.ncbi.nlm.nih.gov/pubmed/36979217
http://dx.doi.org/10.3390/brainsci13030407
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author Habiba, Umme
Malik, Aafia
Raja, Ghazala Kaukab
Memon, Muhammad Raza
Nizami, Asad Tameezud din
Ishaq, Rafaqat
Ilyas, Muhammad
Valadi, Hadi
Nawaz, Muhammad
Shaiq, Pakeeza Arzoo
author_facet Habiba, Umme
Malik, Aafia
Raja, Ghazala Kaukab
Memon, Muhammad Raza
Nizami, Asad Tameezud din
Ishaq, Rafaqat
Ilyas, Muhammad
Valadi, Hadi
Nawaz, Muhammad
Shaiq, Pakeeza Arzoo
author_sort Habiba, Umme
collection PubMed
description Schizophrenia patients demonstrate variations in response to different therapies that are currently being used for the treatment of disorders, such as augmentation therapy (ECT or mood stabilizer) and combination therapy (with antipsychotics). These therapies are also used to treat schizophrenia patients in Pakistan; however, patients show poor overall response. Therefore, this study was conducted to investigate the association between the patients’ response to treatment and the use of antipsychotic agents, with variability in overall response, within different groups of patients. Methods: We conducted a retrospective study that included schizophrenia subjects (N = 200) belonging to different age groups, ethnicities, and regions from different outpatient and inpatient departments in psychiatric institutes located in different cities of Pakistan. These patients were assessed for their response to treatment therapies and categorized into four groups (non-responders (N-R), slow response (S-R), patients with relapse, and completely recovered patients (C-R)) according to their responses. Results: The final analysis included 200 subjects, of which 73.5% were males. Mean age was 34 ± 10 years. Percentage of N-R was 5%, S-R was 42%, patients with relapse were 24%, and C-R was 1.5%. The generalized linear regression model shows a significant association between medication response and age (p = 0.0231), age of onset (p = 0.0086), gender (p = 0.005), and marital status (p = 0.00169). Variability within the medication responses was a result of the treatment regime followed. Antipsychotic agents were significantly associated with the treatment response (p = 0.00258, F = 4.981) of the patients. Significant variation was also observed in the treatment response (p = 0.00128) of the patients that were given augmentation therapy as well as combination therapy. Conclusion: The data suggests proper monitoring of patients’ behavior in response to treatment therapies to implement tailored interventions. Despite several genetic studies supporting the heritability of schizophrenia, an insignificant association between characteristic features and family history might have been due to the limited sample size, suggesting collaborative work with massive sample sizes.
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spelling pubmed-100463932023-03-29 Differential Treatment Responses in Pakistani Schizophrenia Samples: Correlation with Sociodemographic Parameters, Drug Addiction, Attitude to the Treatment and Antipsychotic Agents Habiba, Umme Malik, Aafia Raja, Ghazala Kaukab Memon, Muhammad Raza Nizami, Asad Tameezud din Ishaq, Rafaqat Ilyas, Muhammad Valadi, Hadi Nawaz, Muhammad Shaiq, Pakeeza Arzoo Brain Sci Article Schizophrenia patients demonstrate variations in response to different therapies that are currently being used for the treatment of disorders, such as augmentation therapy (ECT or mood stabilizer) and combination therapy (with antipsychotics). These therapies are also used to treat schizophrenia patients in Pakistan; however, patients show poor overall response. Therefore, this study was conducted to investigate the association between the patients’ response to treatment and the use of antipsychotic agents, with variability in overall response, within different groups of patients. Methods: We conducted a retrospective study that included schizophrenia subjects (N = 200) belonging to different age groups, ethnicities, and regions from different outpatient and inpatient departments in psychiatric institutes located in different cities of Pakistan. These patients were assessed for their response to treatment therapies and categorized into four groups (non-responders (N-R), slow response (S-R), patients with relapse, and completely recovered patients (C-R)) according to their responses. Results: The final analysis included 200 subjects, of which 73.5% were males. Mean age was 34 ± 10 years. Percentage of N-R was 5%, S-R was 42%, patients with relapse were 24%, and C-R was 1.5%. The generalized linear regression model shows a significant association between medication response and age (p = 0.0231), age of onset (p = 0.0086), gender (p = 0.005), and marital status (p = 0.00169). Variability within the medication responses was a result of the treatment regime followed. Antipsychotic agents were significantly associated with the treatment response (p = 0.00258, F = 4.981) of the patients. Significant variation was also observed in the treatment response (p = 0.00128) of the patients that were given augmentation therapy as well as combination therapy. Conclusion: The data suggests proper monitoring of patients’ behavior in response to treatment therapies to implement tailored interventions. Despite several genetic studies supporting the heritability of schizophrenia, an insignificant association between characteristic features and family history might have been due to the limited sample size, suggesting collaborative work with massive sample sizes. MDPI 2023-02-26 /pmc/articles/PMC10046393/ /pubmed/36979217 http://dx.doi.org/10.3390/brainsci13030407 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Habiba, Umme
Malik, Aafia
Raja, Ghazala Kaukab
Memon, Muhammad Raza
Nizami, Asad Tameezud din
Ishaq, Rafaqat
Ilyas, Muhammad
Valadi, Hadi
Nawaz, Muhammad
Shaiq, Pakeeza Arzoo
Differential Treatment Responses in Pakistani Schizophrenia Samples: Correlation with Sociodemographic Parameters, Drug Addiction, Attitude to the Treatment and Antipsychotic Agents
title Differential Treatment Responses in Pakistani Schizophrenia Samples: Correlation with Sociodemographic Parameters, Drug Addiction, Attitude to the Treatment and Antipsychotic Agents
title_full Differential Treatment Responses in Pakistani Schizophrenia Samples: Correlation with Sociodemographic Parameters, Drug Addiction, Attitude to the Treatment and Antipsychotic Agents
title_fullStr Differential Treatment Responses in Pakistani Schizophrenia Samples: Correlation with Sociodemographic Parameters, Drug Addiction, Attitude to the Treatment and Antipsychotic Agents
title_full_unstemmed Differential Treatment Responses in Pakistani Schizophrenia Samples: Correlation with Sociodemographic Parameters, Drug Addiction, Attitude to the Treatment and Antipsychotic Agents
title_short Differential Treatment Responses in Pakistani Schizophrenia Samples: Correlation with Sociodemographic Parameters, Drug Addiction, Attitude to the Treatment and Antipsychotic Agents
title_sort differential treatment responses in pakistani schizophrenia samples: correlation with sociodemographic parameters, drug addiction, attitude to the treatment and antipsychotic agents
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10046393/
https://www.ncbi.nlm.nih.gov/pubmed/36979217
http://dx.doi.org/10.3390/brainsci13030407
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