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Treatment Resistance: A Time-Based Approach for Early Identification in First Episode Psychosis
Although approximately 1/3 of individuals with schizophrenia are Treatment Resistant (TR), identifying these subjects prospectively remains challenging. The Treatment Response and Resistance in Psychosis working group defines <20% improvement as an indicator of TR, though its utility in First Epi...
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/PMC8400307/ https://www.ncbi.nlm.nih.gov/pubmed/34442355 http://dx.doi.org/10.3390/jpm11080711 |
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author | Dempster, Kara Li, Annie Sabesan, Priyadharshini Norman, Ross Palaniyappan, Lena |
author_facet | Dempster, Kara Li, Annie Sabesan, Priyadharshini Norman, Ross Palaniyappan, Lena |
author_sort | Dempster, Kara |
collection | PubMed |
description | Although approximately 1/3 of individuals with schizophrenia are Treatment Resistant (TR), identifying these subjects prospectively remains challenging. The Treatment Response and Resistance in Psychosis working group defines <20% improvement as an indicator of TR, though its utility in First Episode Schizophrenia (FES) remains unknown. In a prospective cohort of FES (n = 129) followed up for 5 years, we evaluated two improvement thresholds for ‘probable TR’; <20% and <50% based on positive, negative, and total symptoms. We ascertained (1) the ecological validity (i.e., the ability to identify an expected subgroup of 1/3rd of patients); (2) the predictive validity (i.e., ability to predict poor global functioning) and (3) the clinical utility (association with clozapine use at the 5th year). Using the criteria of a total symptom reduction of <50% or negative symptom reduction of <20% resulted in ‘probable TR’ rates of 37% and 33%, respectively. Using <20% positive or total symptoms criteria resulted in very low rates, indicating minimal utility in FES. <50% total symptom criterion best predicted the global functioning over 5 years. Clozapine use was only predicted by positive symptom criterion. Prospective characterization of TRS is possible at 6 months after FES through a time-based approach using a 50% threshold for symptom change in treatment-adherent patients. |
format | Online Article Text |
id | pubmed-8400307 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84003072021-08-29 Treatment Resistance: A Time-Based Approach for Early Identification in First Episode Psychosis Dempster, Kara Li, Annie Sabesan, Priyadharshini Norman, Ross Palaniyappan, Lena J Pers Med Article Although approximately 1/3 of individuals with schizophrenia are Treatment Resistant (TR), identifying these subjects prospectively remains challenging. The Treatment Response and Resistance in Psychosis working group defines <20% improvement as an indicator of TR, though its utility in First Episode Schizophrenia (FES) remains unknown. In a prospective cohort of FES (n = 129) followed up for 5 years, we evaluated two improvement thresholds for ‘probable TR’; <20% and <50% based on positive, negative, and total symptoms. We ascertained (1) the ecological validity (i.e., the ability to identify an expected subgroup of 1/3rd of patients); (2) the predictive validity (i.e., ability to predict poor global functioning) and (3) the clinical utility (association with clozapine use at the 5th year). Using the criteria of a total symptom reduction of <50% or negative symptom reduction of <20% resulted in ‘probable TR’ rates of 37% and 33%, respectively. Using <20% positive or total symptoms criteria resulted in very low rates, indicating minimal utility in FES. <50% total symptom criterion best predicted the global functioning over 5 years. Clozapine use was only predicted by positive symptom criterion. Prospective characterization of TRS is possible at 6 months after FES through a time-based approach using a 50% threshold for symptom change in treatment-adherent patients. MDPI 2021-07-24 /pmc/articles/PMC8400307/ /pubmed/34442355 http://dx.doi.org/10.3390/jpm11080711 Text en © 2021 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 Dempster, Kara Li, Annie Sabesan, Priyadharshini Norman, Ross Palaniyappan, Lena Treatment Resistance: A Time-Based Approach for Early Identification in First Episode Psychosis |
title | Treatment Resistance: A Time-Based Approach for Early Identification in First Episode Psychosis |
title_full | Treatment Resistance: A Time-Based Approach for Early Identification in First Episode Psychosis |
title_fullStr | Treatment Resistance: A Time-Based Approach for Early Identification in First Episode Psychosis |
title_full_unstemmed | Treatment Resistance: A Time-Based Approach for Early Identification in First Episode Psychosis |
title_short | Treatment Resistance: A Time-Based Approach for Early Identification in First Episode Psychosis |
title_sort | treatment resistance: a time-based approach for early identification in first episode psychosis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8400307/ https://www.ncbi.nlm.nih.gov/pubmed/34442355 http://dx.doi.org/10.3390/jpm11080711 |
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