BACKGROUND: Many studies have used admixture analysis to separate age-at-onset (AAO) subgroups in bipolar patients, but few have looked at the phenomenological characteristics of these subgroups, in order to find out phenotypic markers. METHODS: Admixture analysis was applied to identify the model best fitting the observed AAO distribution of a sample of 1082 consecutive DSM-IV bipolar I manic inpatients who were assessed for demographic, clinical, course of illness, comorbidity, and temperamental characteristics. RESULTS: The model best fitting the observed distribution of AAO was a mixture of three Gaussian distributions. We could identify three AAO subgroups: early, intermediate, and late age-at-onset (EAO, IAO, and LAO, respectively). Patients in the EAO subgroup were more often single young males exhibiting severe mania with psychotic features, a subcontinuous course of illness with substance use and panic comorbidity, more suicide attempts, and temperamental components sharing hypomanic features. Patients with LAO showed a less severe picture with more depressive temperamental components, alcohol use and comorbid general medical conditions. A less typical phenotype was present in IAO patients. LIMITATIONS: The following are the limitations of this study: retrospective design, and bias toward preferential enrollment of patients with manic predominant polarity. CONCLUSIONS: This study confirms that bipolar I disorder can be subdivided into three subgroups based on AAO distribution and shows that patients from these subgroups differ in phenotypes.
BACKGROUND: Many studies have used admixture analysis to separate age-at-onset (AAO) subgroups in bipolarpatients, but few have looked at the phenomenological characteristics of these subgroups, in order to find out phenotypic markers. METHODS: Admixture analysis was applied to identify the model best fitting the observed AAO distribution of a sample of 1082 consecutive DSM-IV bipolar I manic inpatients who were assessed for demographic, clinical, course of illness, comorbidity, and temperamental characteristics. RESULTS: The model best fitting the observed distribution of AAO was a mixture of three Gaussian distributions. We could identify three AAO subgroups: early, intermediate, and late age-at-onset (EAO, IAO, and LAO, respectively). Patients in the EAO subgroup were more often single young males exhibiting severe mania with psychotic features, a subcontinuous course of illness with substance use and panic comorbidity, more suicide attempts, and temperamental components sharing hypomanic features. Patients with LAO showed a less severe picture with more depressive temperamental components, alcohol use and comorbid general medical conditions. A less typical phenotype was present in IAO patients. LIMITATIONS: The following are the limitations of this study: retrospective design, and bias toward preferential enrollment of patients with manic predominant polarity. CONCLUSIONS: This study confirms that bipolar I disorder can be subdivided into three subgroups based on AAO distribution and shows that patients from these subgroups differ in phenotypes.
Authors: Ayal Schaffer; Erkki T Isometsä; Jean-Michel Azorin; Frederick Cassidy; Tina Goldstein; Zoltán Rihmer; Mark Sinyor; Leonardo Tondo; Doris H Moreno; Gustavo Turecki; Catherine Reis; Lars Vedel Kessing; Kyooseob Ha; Abraham Weizman; Annette Beautrais; Yuan-Hwa Chou; Nancy Diazgranados; Anthony J Levitt; Carlos A Zarate; Lakshmi Yatham Journal: Aust N Z J Psychiatry Date: 2015-07-14 Impact factor: 5.744
Authors: Ayal Schaffer; Erkki T Isometsä; Leonardo Tondo; Doris H Moreno; Gustavo Turecki; Catherine Reis; Frederick Cassidy; Mark Sinyor; Jean-Michel Azorin; Lars Vedel Kessing; Kyooseob Ha; Tina Goldstein; Abraham Weizman; Annette Beautrais; Yuan-Hwa Chou; Nancy Diazgranados; Anthony J Levitt; Carlos A Zarate; Zoltán Rihmer; Lakshmi N Yatham Journal: Bipolar Disord Date: 2014-10-20 Impact factor: 6.744
Authors: Martha Sajatovic; Sergio A Strejilevich; Ariel G Gildengers; Annemiek Dols; Rayan K Al Jurdi; Brent P Forester; Lars Vedel Kessing; John Beyer; Facundo Manes; Soham Rej; Adriane R Rosa; Sigfried Ntm Schouws; Shang-Ying Tsai; Robert C Young; Kenneth I Shulman Journal: Bipolar Disord Date: 2015-09-19 Impact factor: 6.744
Authors: Mauro Pettorruso; Luisa De Risio; Marco Di Nicola; Giovanni Martinotti; Gianluigi Conte; Luigi Janiri Journal: Front Psychiatry Date: 2014-12-03 Impact factor: 4.157
Authors: Sorcha Bolton; Dan W Joyce; Katherine Gordon-Smith; Lisa Jones; Ian Jones; John Geddes; Kate E A Saunders Journal: BJPsych Open Date: 2022-07-18