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Recent Updates on Predicting Conversion in Youth at Clinical High Risk for Psychosis
PURPOSE OF REVIEW: This review highlights recent advances in the prediction and treatment of psychotic conversion. Over the past 25 years, research into the prodromal phase of psychotic illness has expanded with the promise of early identification of individuals at clinical high risk (CHR) for psych...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654175/ https://www.ncbi.nlm.nih.gov/pubmed/37755654 http://dx.doi.org/10.1007/s11920-023-01456-2 |
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author | Caballero, Noe Machiraju, Siddharth Diomino, Anthony Kennedy, Leda Kadivar, Armita Cadenhead, Kristin S. |
author_facet | Caballero, Noe Machiraju, Siddharth Diomino, Anthony Kennedy, Leda Kadivar, Armita Cadenhead, Kristin S. |
author_sort | Caballero, Noe |
collection | PubMed |
description | PURPOSE OF REVIEW: This review highlights recent advances in the prediction and treatment of psychotic conversion. Over the past 25 years, research into the prodromal phase of psychotic illness has expanded with the promise of early identification of individuals at clinical high risk (CHR) for psychosis who are likely to convert to psychosis. RECENT FINDINGS: Meta-analyses highlight conversion rates between 20 and 30% within 2–3 years using existing clinical criteria while research into more specific risk factors, biomarkers, and refinement of psychosis risk calculators has exploded, improving our ability to predict psychotic conversion with greater accuracy. Recent studies highlight risk factors and biomarkers likely to contribute to earlier identification and provide insight into neurodevelopmental abnormalities, CHR subtypes, and interventions that can target specific risk profiles linked to neural mechanisms. SUMMARY: Ongoing initiatives that assess longer-term (> 5–10 years) outcome of CHR participants can provide valuable information about predictors of later conversion and diagnostic outcomes while large-scale international biomarker studies provide hope for precision intervention that will alter the course of early psychosis globally. |
format | Online Article Text |
id | pubmed-10654175 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-106541752023-09-27 Recent Updates on Predicting Conversion in Youth at Clinical High Risk for Psychosis Caballero, Noe Machiraju, Siddharth Diomino, Anthony Kennedy, Leda Kadivar, Armita Cadenhead, Kristin S. Curr Psychiatry Rep Article PURPOSE OF REVIEW: This review highlights recent advances in the prediction and treatment of psychotic conversion. Over the past 25 years, research into the prodromal phase of psychotic illness has expanded with the promise of early identification of individuals at clinical high risk (CHR) for psychosis who are likely to convert to psychosis. RECENT FINDINGS: Meta-analyses highlight conversion rates between 20 and 30% within 2–3 years using existing clinical criteria while research into more specific risk factors, biomarkers, and refinement of psychosis risk calculators has exploded, improving our ability to predict psychotic conversion with greater accuracy. Recent studies highlight risk factors and biomarkers likely to contribute to earlier identification and provide insight into neurodevelopmental abnormalities, CHR subtypes, and interventions that can target specific risk profiles linked to neural mechanisms. SUMMARY: Ongoing initiatives that assess longer-term (> 5–10 years) outcome of CHR participants can provide valuable information about predictors of later conversion and diagnostic outcomes while large-scale international biomarker studies provide hope for precision intervention that will alter the course of early psychosis globally. Springer US 2023-09-27 2023 /pmc/articles/PMC10654175/ /pubmed/37755654 http://dx.doi.org/10.1007/s11920-023-01456-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Caballero, Noe Machiraju, Siddharth Diomino, Anthony Kennedy, Leda Kadivar, Armita Cadenhead, Kristin S. Recent Updates on Predicting Conversion in Youth at Clinical High Risk for Psychosis |
title | Recent Updates on Predicting Conversion in Youth at Clinical High Risk for Psychosis |
title_full | Recent Updates on Predicting Conversion in Youth at Clinical High Risk for Psychosis |
title_fullStr | Recent Updates on Predicting Conversion in Youth at Clinical High Risk for Psychosis |
title_full_unstemmed | Recent Updates on Predicting Conversion in Youth at Clinical High Risk for Psychosis |
title_short | Recent Updates on Predicting Conversion in Youth at Clinical High Risk for Psychosis |
title_sort | recent updates on predicting conversion in youth at clinical high risk for psychosis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654175/ https://www.ncbi.nlm.nih.gov/pubmed/37755654 http://dx.doi.org/10.1007/s11920-023-01456-2 |
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