Trajectories of symptom severity and functioning over a three-year period in a psychosis high-risk sample: A secondary analysis of the Neurapro trial

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Standard

Trajectories of symptom severity and functioning over a three-year period in a psychosis high-risk sample : A secondary analysis of the Neurapro trial. / Hartmann, Jessica A.; Schmidt, Stefanie J.; McGorry, Patrick D.; Berger, Maximus; Berger, Gregor E.; Chen, Eric Y.H.; de Haan, Lieuwe; Hickie, Ian B.; Lavoie, Suzie; Markulev, Connie; Mossaheb, Nilufar; Nieman, Dorien H.; Nordentoft, Merete; Polari, Andrea; Riecher-Rössler, Anita; Schäfer, Miriam R.; Schlögelhofer, Monika; Smesny, Stefan; Thompson, Andrew; Verma, Swapna K.; Yuen, Hok Pan; Yung, Alison R.; Amminger, G. Paul; Nelson, Barnaby.

I: Behaviour Research and Therapy, Bind 124, 103527, 01.2020.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Hartmann, JA, Schmidt, SJ, McGorry, PD, Berger, M, Berger, GE, Chen, EYH, de Haan, L, Hickie, IB, Lavoie, S, Markulev, C, Mossaheb, N, Nieman, DH, Nordentoft, M, Polari, A, Riecher-Rössler, A, Schäfer, MR, Schlögelhofer, M, Smesny, S, Thompson, A, Verma, SK, Yuen, HP, Yung, AR, Amminger, GP & Nelson, B 2020, 'Trajectories of symptom severity and functioning over a three-year period in a psychosis high-risk sample: A secondary analysis of the Neurapro trial', Behaviour Research and Therapy, bind 124, 103527. https://doi.org/10.1016/j.brat.2019.103527

APA

Hartmann, J. A., Schmidt, S. J., McGorry, P. D., Berger, M., Berger, G. E., Chen, E. Y. H., de Haan, L., Hickie, I. B., Lavoie, S., Markulev, C., Mossaheb, N., Nieman, D. H., Nordentoft, M., Polari, A., Riecher-Rössler, A., Schäfer, M. R., Schlögelhofer, M., Smesny, S., Thompson, A., ... Nelson, B. (2020). Trajectories of symptom severity and functioning over a three-year period in a psychosis high-risk sample: A secondary analysis of the Neurapro trial. Behaviour Research and Therapy, 124, [103527]. https://doi.org/10.1016/j.brat.2019.103527

Vancouver

Hartmann JA, Schmidt SJ, McGorry PD, Berger M, Berger GE, Chen EYH o.a. Trajectories of symptom severity and functioning over a three-year period in a psychosis high-risk sample: A secondary analysis of the Neurapro trial. Behaviour Research and Therapy. 2020 jan.;124. 103527. https://doi.org/10.1016/j.brat.2019.103527

Author

Hartmann, Jessica A. ; Schmidt, Stefanie J. ; McGorry, Patrick D. ; Berger, Maximus ; Berger, Gregor E. ; Chen, Eric Y.H. ; de Haan, Lieuwe ; Hickie, Ian B. ; Lavoie, Suzie ; Markulev, Connie ; Mossaheb, Nilufar ; Nieman, Dorien H. ; Nordentoft, Merete ; Polari, Andrea ; Riecher-Rössler, Anita ; Schäfer, Miriam R. ; Schlögelhofer, Monika ; Smesny, Stefan ; Thompson, Andrew ; Verma, Swapna K. ; Yuen, Hok Pan ; Yung, Alison R. ; Amminger, G. Paul ; Nelson, Barnaby. / Trajectories of symptom severity and functioning over a three-year period in a psychosis high-risk sample : A secondary analysis of the Neurapro trial. I: Behaviour Research and Therapy. 2020 ; Bind 124.

Bibtex

@article{fec769a0d5ca4eecb67de3c29e73b6e0,
title = "Trajectories of symptom severity and functioning over a three-year period in a psychosis high-risk sample: A secondary analysis of the Neurapro trial",
abstract = "The Ultra-High Risk (UHR) for psychosis group is known to be heterogeneous with diverse outcomes. This study aimed to: 1. Identify subclasses of UHR individuals based on trajectories of symptomatic and functional change over time, 2. Identify predictors of these trajectories. A sample of 304 UHR individuals participating in the Neurapro trial were followed over an average of 40 months. All participants received cognitive-behavioural case management (CBCM). Symptomatic and functional profiles were investigated using latent class growth analysis. Multinomial regression was employed to investigate predictors of classes. Identified trajectories showed mostly parallel slopes (i.e. improving symptoms/functioning over time), which were primarily distinct regarding the severity of symptomatology/level of functioning at baseline (i.e. the intercept). Higher symptomatic/lower functioning classes were predicted by higher substance use, older age, female gender, and lower cognitive functioning. No divergent trajectories were identified as all classes improved over time. This may reflect effective treatment through CBCM, natural illness course, or effective engagement with mental health services. Nonetheless, classes highest in symptoms/lowest in functioning still showed considerable impairment during follow-up, highlighting the need for targeted intervention in these subgroups. The study emphasizes the need for more clinical attention directed towards UHR patients being female or using substances.",
keywords = "Latent class growth analysis, Longitudinal, Psychosis, Symptom trajectories, Ultra-high risk",
author = "Hartmann, {Jessica A.} and Schmidt, {Stefanie J.} and McGorry, {Patrick D.} and Maximus Berger and Berger, {Gregor E.} and Chen, {Eric Y.H.} and {de Haan}, Lieuwe and Hickie, {Ian B.} and Suzie Lavoie and Connie Markulev and Nilufar Mossaheb and Nieman, {Dorien H.} and Merete Nordentoft and Andrea Polari and Anita Riecher-R{\"o}ssler and Sch{\"a}fer, {Miriam R.} and Monika Schl{\"o}gelhofer and Stefan Smesny and Andrew Thompson and Verma, {Swapna K.} and Yuen, {Hok Pan} and Yung, {Alison R.} and Amminger, {G. Paul} and Barnaby Nelson",
year = "2020",
month = jan,
doi = "10.1016/j.brat.2019.103527",
language = "English",
volume = "124",
journal = "Behaviour Research and Therapy",
issn = "0005-7967",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Trajectories of symptom severity and functioning over a three-year period in a psychosis high-risk sample

T2 - A secondary analysis of the Neurapro trial

AU - Hartmann, Jessica A.

AU - Schmidt, Stefanie J.

AU - McGorry, Patrick D.

AU - Berger, Maximus

AU - Berger, Gregor E.

AU - Chen, Eric Y.H.

AU - de Haan, Lieuwe

AU - Hickie, Ian B.

AU - Lavoie, Suzie

AU - Markulev, Connie

AU - Mossaheb, Nilufar

AU - Nieman, Dorien H.

AU - Nordentoft, Merete

AU - Polari, Andrea

AU - Riecher-Rössler, Anita

AU - Schäfer, Miriam R.

AU - Schlögelhofer, Monika

AU - Smesny, Stefan

AU - Thompson, Andrew

AU - Verma, Swapna K.

AU - Yuen, Hok Pan

AU - Yung, Alison R.

AU - Amminger, G. Paul

AU - Nelson, Barnaby

PY - 2020/1

Y1 - 2020/1

N2 - The Ultra-High Risk (UHR) for psychosis group is known to be heterogeneous with diverse outcomes. This study aimed to: 1. Identify subclasses of UHR individuals based on trajectories of symptomatic and functional change over time, 2. Identify predictors of these trajectories. A sample of 304 UHR individuals participating in the Neurapro trial were followed over an average of 40 months. All participants received cognitive-behavioural case management (CBCM). Symptomatic and functional profiles were investigated using latent class growth analysis. Multinomial regression was employed to investigate predictors of classes. Identified trajectories showed mostly parallel slopes (i.e. improving symptoms/functioning over time), which were primarily distinct regarding the severity of symptomatology/level of functioning at baseline (i.e. the intercept). Higher symptomatic/lower functioning classes were predicted by higher substance use, older age, female gender, and lower cognitive functioning. No divergent trajectories were identified as all classes improved over time. This may reflect effective treatment through CBCM, natural illness course, or effective engagement with mental health services. Nonetheless, classes highest in symptoms/lowest in functioning still showed considerable impairment during follow-up, highlighting the need for targeted intervention in these subgroups. The study emphasizes the need for more clinical attention directed towards UHR patients being female or using substances.

AB - The Ultra-High Risk (UHR) for psychosis group is known to be heterogeneous with diverse outcomes. This study aimed to: 1. Identify subclasses of UHR individuals based on trajectories of symptomatic and functional change over time, 2. Identify predictors of these trajectories. A sample of 304 UHR individuals participating in the Neurapro trial were followed over an average of 40 months. All participants received cognitive-behavioural case management (CBCM). Symptomatic and functional profiles were investigated using latent class growth analysis. Multinomial regression was employed to investigate predictors of classes. Identified trajectories showed mostly parallel slopes (i.e. improving symptoms/functioning over time), which were primarily distinct regarding the severity of symptomatology/level of functioning at baseline (i.e. the intercept). Higher symptomatic/lower functioning classes were predicted by higher substance use, older age, female gender, and lower cognitive functioning. No divergent trajectories were identified as all classes improved over time. This may reflect effective treatment through CBCM, natural illness course, or effective engagement with mental health services. Nonetheless, classes highest in symptoms/lowest in functioning still showed considerable impairment during follow-up, highlighting the need for targeted intervention in these subgroups. The study emphasizes the need for more clinical attention directed towards UHR patients being female or using substances.

KW - Latent class growth analysis

KW - Longitudinal

KW - Psychosis

KW - Symptom trajectories

KW - Ultra-high risk

U2 - 10.1016/j.brat.2019.103527

DO - 10.1016/j.brat.2019.103527

M3 - Journal article

C2 - 31790853

AN - SCOPUS:85075575815

VL - 124

JO - Behaviour Research and Therapy

JF - Behaviour Research and Therapy

SN - 0005-7967

M1 - 103527

ER -

ID: 244377926