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A Strategy to Identify de Novo Mutations in Common Disorders such as Autism and Schizophrenia
Published on: June 15, 2011
Premorbid adjustment trajectories in schizophrenia and bipolar disorder: A transdiagnostic cluster analysis
Chi C Chan1, Megan Shanahan2, Luz H Ospina3
1Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA; VISN 2 Mental Illness Research, Education, and Clinical Center, James J. Peters Veterans Affairs Medical Center, Bronx, NY, USA.
Abstract:
Despite the overlap between schizophrenia and bipolar disorder, neurodevelopmental abnormalities are thought to be associated primarily with schizophrenia. Transdiagnostic and empirical identification of subgroups based on premorbid adjustment (PMA) may enhance understanding of illness trajectories. 160 patients with bipolar I or II disorder (BD; n = 104) or schizophrenia or schizoaffective disorder (SZ; n = 56) were assessed on PMA course from childhood to late adolescence and current symptoms and functioning. A hierarchical cluster analysis was performed using social and academic PMA scores, resulting in three optimal clusters. Cluster 1 (n = 28 SZ, 65 BD) had normal social and academic PMA, the most education, and mildest current symptoms. Cluster 2 (n = 15 SZ, 24 BD) had normal social PMA but an impaired-declining academic course and had a greater proportion of males than Cluster 1. Cluster 3 (n = 13 SZ, 15 BD) had an impaired-stable social PMA and an impaired-declining academic course and the most severe current negative symptoms and childhood trauma. The proportions of SZ and BD diagnoses, current neurocognition, and functioning did not differ between clusters. These findings suggest shared neurodevelopmental abnormalities between SZ and BD, with subgroups exhibiting distinct PMA trajectories that cut across disorders.
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