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S244. CHARACTERIZING OUTCOMES OF CLINICAL HIGH-RISK NON-CONVERTERS USING GROUP-BASED TRAJECTORY MODELING

BACKGROUND: The development of the clinical high-risk (CHR) prodromal criteria has facilitated advancement in understanding conversion to psychosis and has provided opportunities for early intervention and treatment for these individuals. However, the majority of CHR cases do not meet full criteria...

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Autores principales: Allswede, Dana, Cannon, Tyrone, Addington, Jean, Bearden, Carrie, Cadenhead, Kristin, Cornblatt, Barbara, Mathalon, Daniel, Thomas, McGlashan, Perkins, Diana, Seidman, Larry, Tsuang, Ming, Walker, Elaine, Woods, Scott
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5887955/
http://dx.doi.org/10.1093/schbul/sby018.1031
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author Allswede, Dana
Cannon, Tyrone
Addington, Jean
Bearden, Carrie
Cadenhead, Kristin
Cornblatt, Barbara
Mathalon, Daniel
Thomas, McGlashan
Perkins, Diana
Seidman, Larry
Tsuang, Ming
Walker, Elaine
Woods, Scott
author_facet Allswede, Dana
Cannon, Tyrone
Addington, Jean
Bearden, Carrie
Cadenhead, Kristin
Cornblatt, Barbara
Mathalon, Daniel
Thomas, McGlashan
Perkins, Diana
Seidman, Larry
Tsuang, Ming
Walker, Elaine
Woods, Scott
author_sort Allswede, Dana
collection PubMed
description BACKGROUND: The development of the clinical high-risk (CHR) prodromal criteria has facilitated advancement in understanding conversion to psychosis and has provided opportunities for early intervention and treatment for these individuals. However, the majority of CHR cases do not meet full criteria for conversion, yet continue to experience clinically significant symptoms and impairment in daily functioning. It is likely that many of these individuals would also benefit from additional intervention and treatment, but the outcomes and needs of these “non-converters” are not well characterized. Identifying common longitudinal patterns of symptoms and functioning of non-converters would support the identification of individuals who continue to require treatment and tailoring of services to their specific needs. METHODS: We used group-based trajectory modeling to identify common longitudinal symptom and functioning trajectories among CHR cases (N=561) in the second phase of the North American Prodrome Longitudinal Study (NAPLS2). Covariant trajectories of symptoms (including positive, negative, disorganized, and general) and functioning (including role and social) were examined. Models were tested for replicability in an independent sample of CHR cases (N=291) from the first phase of NAPLS (NAPLS1). RESULTS: We identified a subgroup of individuals who exhibited symptom remission and functioning within the normal range, as well as at least two additional subgroups that exhibited different patterns of ongoing, clinically significant symptoms and functional deficits. DISCUSSION: We are currently investigating the validity of these subgroups by assessing their association with a variety of risk factors and biomarkers.
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spelling pubmed-58879552018-04-11 S244. CHARACTERIZING OUTCOMES OF CLINICAL HIGH-RISK NON-CONVERTERS USING GROUP-BASED TRAJECTORY MODELING Allswede, Dana Cannon, Tyrone Addington, Jean Bearden, Carrie Cadenhead, Kristin Cornblatt, Barbara Mathalon, Daniel Thomas, McGlashan Perkins, Diana Seidman, Larry Tsuang, Ming Walker, Elaine Woods, Scott Schizophr Bull Abstracts BACKGROUND: The development of the clinical high-risk (CHR) prodromal criteria has facilitated advancement in understanding conversion to psychosis and has provided opportunities for early intervention and treatment for these individuals. However, the majority of CHR cases do not meet full criteria for conversion, yet continue to experience clinically significant symptoms and impairment in daily functioning. It is likely that many of these individuals would also benefit from additional intervention and treatment, but the outcomes and needs of these “non-converters” are not well characterized. Identifying common longitudinal patterns of symptoms and functioning of non-converters would support the identification of individuals who continue to require treatment and tailoring of services to their specific needs. METHODS: We used group-based trajectory modeling to identify common longitudinal symptom and functioning trajectories among CHR cases (N=561) in the second phase of the North American Prodrome Longitudinal Study (NAPLS2). Covariant trajectories of symptoms (including positive, negative, disorganized, and general) and functioning (including role and social) were examined. Models were tested for replicability in an independent sample of CHR cases (N=291) from the first phase of NAPLS (NAPLS1). RESULTS: We identified a subgroup of individuals who exhibited symptom remission and functioning within the normal range, as well as at least two additional subgroups that exhibited different patterns of ongoing, clinically significant symptoms and functional deficits. DISCUSSION: We are currently investigating the validity of these subgroups by assessing their association with a variety of risk factors and biomarkers. Oxford University Press 2018-04 2018-04-01 /pmc/articles/PMC5887955/ http://dx.doi.org/10.1093/schbul/sby018.1031 Text en © Maryland Psychiatric Research Center 2018. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Allswede, Dana
Cannon, Tyrone
Addington, Jean
Bearden, Carrie
Cadenhead, Kristin
Cornblatt, Barbara
Mathalon, Daniel
Thomas, McGlashan
Perkins, Diana
Seidman, Larry
Tsuang, Ming
Walker, Elaine
Woods, Scott
S244. CHARACTERIZING OUTCOMES OF CLINICAL HIGH-RISK NON-CONVERTERS USING GROUP-BASED TRAJECTORY MODELING
title S244. CHARACTERIZING OUTCOMES OF CLINICAL HIGH-RISK NON-CONVERTERS USING GROUP-BASED TRAJECTORY MODELING
title_full S244. CHARACTERIZING OUTCOMES OF CLINICAL HIGH-RISK NON-CONVERTERS USING GROUP-BASED TRAJECTORY MODELING
title_fullStr S244. CHARACTERIZING OUTCOMES OF CLINICAL HIGH-RISK NON-CONVERTERS USING GROUP-BASED TRAJECTORY MODELING
title_full_unstemmed S244. CHARACTERIZING OUTCOMES OF CLINICAL HIGH-RISK NON-CONVERTERS USING GROUP-BASED TRAJECTORY MODELING
title_short S244. CHARACTERIZING OUTCOMES OF CLINICAL HIGH-RISK NON-CONVERTERS USING GROUP-BASED TRAJECTORY MODELING
title_sort s244. characterizing outcomes of clinical high-risk non-converters using group-based trajectory modeling
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5887955/
http://dx.doi.org/10.1093/schbul/sby018.1031
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