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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,...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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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. |
format | Online Article Text |
id | pubmed-6220939 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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