Associations between patterns in comorbid diagnostic trajectories of individuals with schizophrenia and etiological factors

Morten Dybdahl Krebs, Gonçalo Espregueira Themudo, Michael Eriksen Benros, Ole Mors, Anders D. Børglum, David Hougaard, Preben Bo Mortensen, Merete Nordentoft, Michael J. Gandal, Chun Chieh Fan, Daniel H. Geschwind, Andrew J. Schork, Thomas Werge () and Wesley K. Thompson
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Morten Dybdahl Krebs: Mental Health Services Capital Region of Denmark
Gonçalo Espregueira Themudo: Mental Health Services Capital Region of Denmark
Michael Eriksen Benros: Copenhagen University Hospital
Ole Mors: iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research
Anders D. Børglum: iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research
David Hougaard: iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research
Preben Bo Mortensen: iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research
Merete Nordentoft: iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research
Michael J. Gandal: University of California, Los Angeles
Chun Chieh Fan: Mental Health Services Capital Region of Denmark
Daniel H. Geschwind: University of California, Los Angeles
Andrew J. Schork: Mental Health Services Capital Region of Denmark
Thomas Werge: Mental Health Services Capital Region of Denmark
Wesley K. Thompson: Mental Health Services Capital Region of Denmark

Nature Communications, 2021, vol. 12, issue 1, 1-12

Abstract: Abstract Schizophrenia is a heterogeneous disorder, exhibiting variability in presentation and outcomes that complicate treatment and recovery. To explore this heterogeneity, we leverage the comprehensive Danish health registries to conduct a prospective, longitudinal study from birth of 5432 individuals who would ultimately be diagnosed with schizophrenia, building individual trajectories that represent sequences of comorbid diagnoses, and describing patterns in the individual-level variability. We show that psychiatric comorbidity is prevalent among individuals with schizophrenia (82%) and multi-morbidity occur more frequently in specific, time-ordered pairs. Three latent factors capture 79% of variation in longitudinal comorbidity and broadly relate to the number of co-occurring diagnoses, the presence of child versus adult comorbidities and substance abuse. Clustering of the factor scores revealed five stable clusters of individuals, associated with specific risk factors and outcomes. The presentation and course of schizophrenia may be associated with heterogeneity in etiological factors including family history of mental disorders.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-26903-7

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DOI: 10.1038/s41467-021-26903-7

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