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Long‐term cognitive trajectories and heterogeneity in patients with schizophrenia and their unaffected siblings

OBJECTIVE: This study aimed to assess the heterogeneity and stability of cognition in patients with a non‐affective psychotic disorder and their unaffected siblings. In addition, we aimed to predict the cognitive subtypes of siblings by their probands. METHOD: Assessments were conducted at baseline,...

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Autores principales: Islam, Md. A., Habtewold, T. D., van Es, F. D., Quee, P. J., van den Heuvel, E. R., Alizadeh, B. Z., Bruggeman, R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6220939/
https://www.ncbi.nlm.nih.gov/pubmed/30242827
http://dx.doi.org/10.1111/acps.12961
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author Islam, Md. A.
Habtewold, T. D.
van Es, F. D.
Quee, P. J.
van den Heuvel, E. R.
Alizadeh, B. Z.
Bruggeman, R.
author_facet Islam, Md. A.
Habtewold, T. D.
van Es, F. D.
Quee, P. J.
van den Heuvel, E. R.
Alizadeh, B. Z.
Bruggeman, R.
author_sort Islam, Md. A.
collection PubMed
description OBJECTIVE: This study aimed to assess the heterogeneity and stability of cognition in patients with a non‐affective psychotic disorder and their unaffected siblings. In addition, we aimed to predict the cognitive subtypes of siblings by their probands. METHOD: Assessments were conducted at baseline, 3 and 6 years in 1119 patients, 1059 siblings and 586 controls from the Genetic Risk and Outcome of Psychosis (GROUP) study. Group‐based trajectory modeling was applied to identify trajectories and clustered multinomial logistic regression analysis was used for prediction modeling. A composite score of eight neurocognitive tests was used to measure cognitive performance. RESULTS: Five stable cognitive trajectories ranging from severely altered to high cognitive performance were identified in patients. Likewise, four stable trajectories ranging from moderately altered to high performance were found in siblings. Siblings had a higher risk of cognitive alteration when patients’ alteration was mild (OR = 2.21), moderate (OR = 5.70), and severe (OR = 10.07) compared with patients with intact cognitive function. The familial correlation coefficient between pairs of index patients and their siblings was 0.27 (P = 0.003). CONCLUSIONS: The cognitive profiles identified in the current study might be suitable as endophenotypes and could be used in future genetic studies and predicting functional and clinical outcomes.
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spelling pubmed-62209392018-11-15 Long‐term cognitive trajectories and heterogeneity in patients with schizophrenia and their unaffected siblings Islam, Md. A. Habtewold, T. D. van Es, F. D. Quee, P. J. van den Heuvel, E. R. Alizadeh, B. Z. Bruggeman, R. Acta Psychiatr Scand Original Articles OBJECTIVE: This study aimed to assess the heterogeneity and stability of cognition in patients with a non‐affective psychotic disorder and their unaffected siblings. In addition, we aimed to predict the cognitive subtypes of siblings by their probands. METHOD: Assessments were conducted at baseline, 3 and 6 years in 1119 patients, 1059 siblings and 586 controls from the Genetic Risk and Outcome of Psychosis (GROUP) study. Group‐based trajectory modeling was applied to identify trajectories and clustered multinomial logistic regression analysis was used for prediction modeling. A composite score of eight neurocognitive tests was used to measure cognitive performance. RESULTS: Five stable cognitive trajectories ranging from severely altered to high cognitive performance were identified in patients. Likewise, four stable trajectories ranging from moderately altered to high performance were found in siblings. Siblings had a higher risk of cognitive alteration when patients’ alteration was mild (OR = 2.21), moderate (OR = 5.70), and severe (OR = 10.07) compared with patients with intact cognitive function. The familial correlation coefficient between pairs of index patients and their siblings was 0.27 (P = 0.003). CONCLUSIONS: The cognitive profiles identified in the current study might be suitable as endophenotypes and could be used in future genetic studies and predicting functional and clinical outcomes. John Wiley and Sons Inc. 2018-09-21 2018-12 /pmc/articles/PMC6220939/ /pubmed/30242827 http://dx.doi.org/10.1111/acps.12961 Text en © 2018 The Authors Acta Psychiatrica Scandinavica Published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Articles
Islam, Md. A.
Habtewold, T. D.
van Es, F. D.
Quee, P. J.
van den Heuvel, E. R.
Alizadeh, B. Z.
Bruggeman, R.
Long‐term cognitive trajectories and heterogeneity in patients with schizophrenia and their unaffected siblings
title Long‐term cognitive trajectories and heterogeneity in patients with schizophrenia and their unaffected siblings
title_full Long‐term cognitive trajectories and heterogeneity in patients with schizophrenia and their unaffected siblings
title_fullStr Long‐term cognitive trajectories and heterogeneity in patients with schizophrenia and their unaffected siblings
title_full_unstemmed Long‐term cognitive trajectories and heterogeneity in patients with schizophrenia and their unaffected siblings
title_short Long‐term cognitive trajectories and heterogeneity in patients with schizophrenia and their unaffected siblings
title_sort long‐term cognitive trajectories and heterogeneity in patients with schizophrenia and their unaffected siblings
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6220939/
https://www.ncbi.nlm.nih.gov/pubmed/30242827
http://dx.doi.org/10.1111/acps.12961
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