Publication

Statistical approaches to explore clinical heterogeneity in psychosis

Islam, A., 2017, [Groningen]: University of Groningen. 219 p.

Research output: ThesisThesis fully internal (DIV)Academic

APA

Islam, A. (2017). Statistical approaches to explore clinical heterogeneity in psychosis. [Groningen]: University of Groningen.

Author

Islam, Atiqul. / Statistical approaches to explore clinical heterogeneity in psychosis. [Groningen] : University of Groningen, 2017. 219 p.

Harvard

Islam, A 2017, 'Statistical approaches to explore clinical heterogeneity in psychosis', Doctor of Philosophy, University of Groningen, [Groningen].

Standard

Statistical approaches to explore clinical heterogeneity in psychosis. / Islam, Atiqul.

[Groningen] : University of Groningen, 2017. 219 p.

Research output: ThesisThesis fully internal (DIV)Academic

Vancouver

Islam A. Statistical approaches to explore clinical heterogeneity in psychosis. [Groningen]: University of Groningen, 2017. 219 p.


BibTeX

@phdthesis{510bad87e490483b944832cacc5c9113,
title = "Statistical approaches to explore clinical heterogeneity in psychosis",
abstract = "Psychotic disorders display a very heterogeneous presentation which is often overlooked. Main aim of this thesis is to explore the heterogeneity, stability and familial liability in psychotic patients and their unaffected siblings. Classical clustering, linear, generalized linear mixed effects and group-based trajectory modeling (GBTM) techniques were applied to dissect heterogeneity and stability.On heterogeneity, we confirmed previous work on cognitive subtypes within the GROUP-project, by demonstrating that Duda and Hart was indeed the best performing index to identify homogenous clusters. Heterogeneity of cognition and negative symptoms was validated in the course of the disease by using GBTM, yielding clinical relevant subtypes. Stability of these subtypes turned out to be key feature for cognition, but not for negative symptoms. Familial liability was reflected in cognition (siblings performing between healthy controls and patients), in somatic diseases (the risk for siblings being in between likewise) and in psychotic experiences (to be more prevalent in siblings than in controls).Within the framework of this thesis various predictive factors were identified. The cognitive profiles of patients predicted siblings’ cognitive performance. Also, good Theory of Mind in siblings predicted milder psychotic experiences, 3 years later. For negative symptoms, subtypes were strong predictors of outcomes over time. For multimoribidity, familial liability is the major determinants. Additionally, the highest risk for long duration on being untreated was migration.In conclusion, heterogeneity in psychosis is a clinical relevant concept. Subtyping patients provides new avenues to better understanding and more effectively treating people with psychosis in a personalized manner.",
author = "Atiqul Islam",
year = "2017",
language = "English",
isbn = "978-90-367-9882-2",
publisher = "University of Groningen",
school = "University of Groningen",

}

RIS

TY - THES

T1 - Statistical approaches to explore clinical heterogeneity in psychosis

AU - Islam, Atiqul

PY - 2017

Y1 - 2017

N2 - Psychotic disorders display a very heterogeneous presentation which is often overlooked. Main aim of this thesis is to explore the heterogeneity, stability and familial liability in psychotic patients and their unaffected siblings. Classical clustering, linear, generalized linear mixed effects and group-based trajectory modeling (GBTM) techniques were applied to dissect heterogeneity and stability.On heterogeneity, we confirmed previous work on cognitive subtypes within the GROUP-project, by demonstrating that Duda and Hart was indeed the best performing index to identify homogenous clusters. Heterogeneity of cognition and negative symptoms was validated in the course of the disease by using GBTM, yielding clinical relevant subtypes. Stability of these subtypes turned out to be key feature for cognition, but not for negative symptoms. Familial liability was reflected in cognition (siblings performing between healthy controls and patients), in somatic diseases (the risk for siblings being in between likewise) and in psychotic experiences (to be more prevalent in siblings than in controls).Within the framework of this thesis various predictive factors were identified. The cognitive profiles of patients predicted siblings’ cognitive performance. Also, good Theory of Mind in siblings predicted milder psychotic experiences, 3 years later. For negative symptoms, subtypes were strong predictors of outcomes over time. For multimoribidity, familial liability is the major determinants. Additionally, the highest risk for long duration on being untreated was migration.In conclusion, heterogeneity in psychosis is a clinical relevant concept. Subtyping patients provides new avenues to better understanding and more effectively treating people with psychosis in a personalized manner.

AB - Psychotic disorders display a very heterogeneous presentation which is often overlooked. Main aim of this thesis is to explore the heterogeneity, stability and familial liability in psychotic patients and their unaffected siblings. Classical clustering, linear, generalized linear mixed effects and group-based trajectory modeling (GBTM) techniques were applied to dissect heterogeneity and stability.On heterogeneity, we confirmed previous work on cognitive subtypes within the GROUP-project, by demonstrating that Duda and Hart was indeed the best performing index to identify homogenous clusters. Heterogeneity of cognition and negative symptoms was validated in the course of the disease by using GBTM, yielding clinical relevant subtypes. Stability of these subtypes turned out to be key feature for cognition, but not for negative symptoms. Familial liability was reflected in cognition (siblings performing between healthy controls and patients), in somatic diseases (the risk for siblings being in between likewise) and in psychotic experiences (to be more prevalent in siblings than in controls).Within the framework of this thesis various predictive factors were identified. The cognitive profiles of patients predicted siblings’ cognitive performance. Also, good Theory of Mind in siblings predicted milder psychotic experiences, 3 years later. For negative symptoms, subtypes were strong predictors of outcomes over time. For multimoribidity, familial liability is the major determinants. Additionally, the highest risk for long duration on being untreated was migration.In conclusion, heterogeneity in psychosis is a clinical relevant concept. Subtyping patients provides new avenues to better understanding and more effectively treating people with psychosis in a personalized manner.

M3 - Thesis fully internal (DIV)

SN - 978-90-367-9882-2

PB - University of Groningen

CY - [Groningen]

ER -

ID: 43782551