Influence of birth cohort on age of onset cluster analysis in bipolar I disorder

Bauer, Michael; Glenn, Tasha; Alda, Martin; Andreassen, Ole A.; Angelopoulos, Elias; Ardau, Raffaella; Baethge, Christopher; Bauer, Rita; Bellivier, Frank; Belmaker, Robert H.; Berk, Michael; Bjella, Thomas; Bossini, Letizia; Bersudsky, Yuly; Cheung, Eric Yat Wo; Conell, Jörn; Zompo, Maria Del; Dodd, Seetal; Étain, Bruno; Fagiolini, Andrea; Frye, Mark A.; Fountoulakis, Kostas N.; Garneau-Fournier, Jade; González-Pinto, Ana; Harima, Hirohiko; Hassel, Stefanie; Henry, Chantal; Iacovides, Apostolos; Isometsä, Erkki; Kapczinski, Flávio; Kliwicki, Sebastian; König, Barbara; Krogh, Rikke; Kunz, Maurício; Lafer, Beny; Larsen, Erik Roj; Lewitzka, Ute; López‐Jaramillo, Carlos; MacQueen, Glenda; Manchia, Mirko; Marsh, Wendy; Martínez‐Cengotitabengoa, Mónica; Melle, Ingrid; Monteith, Scott; Morken, Gunnar; Muñoz, Rodrigo A.; Nery, Fabiano G.; O′Donovan, Claire; Osher, Yamima; Pfennig, Andrea; Quiroz, Danilo; Ramesar, Raj; Rasgon, Natalie; Reif, Andreas; Ritter, Philipp; Rybakowski, Janusz; Sagduyu, Kemal; Scippa, Ângela M.; Severus, Emanuel; Simhandl, Christian; Stein, Dan J.; Strejilevich, Sergio; Sulaiman, Ahmad Hatim; Suominen, Kirsi; Tagata, Hiromi; Tatebayashi, Yoshitaka; Torrent, Carla; Vieta, Eduard; Viswanath, Biju; Wanchoo, Mihir J.; Zetin, Mark; Whybrow, Peter C.

doi:10.1016/j.eurpsy.2014.10.005

Cited by 29 publications

(30 citation statements)

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“…Statistical models suggest the presence of three age of onset subgroups within BDI and these can be categorized into a large early‐onset group (mean ± standard deviation (SD) 17.24 ± 3.20 years), and smaller middle‐onset (23.93 ± 5.12 years) and late‐onset (32.20 ± 11.96 years) groups, with the proportion of individuals falling into each category being 41.7%, 24.7% and 33.6% of the total sample, respectively 8. However, the ages of onset tend to differ somewhat depending upon the origins of samples analysed.…”

Section: Foundations Of Managementmentioning

confidence: 99%

Canadian Network for Mood and Anxiety Treatments (CANMAT) and International Society for Bipolar Disorders (ISBD) 2018 guidelines for the management of patients with bipolar disorder

et al. 2018

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The Canadian Network for Mood and Anxiety Treatments (CANMAT) previously published treatment guidelines for bipolar disorder in 2005, along with international commentaries and subsequent updates in 2007, 2009, and 2013. The last two updates were published in collaboration with the International Society for Bipolar Disorders (ISBD). These 2018 CANMAT and ISBD Bipolar Treatment Guidelines represent the significant advances in the field since the last full edition was published in 2005, including updates to diagnosis and management as well as new research into pharmacological and psychological treatments. These advances have been translated into clear and easy to use recommendations for first, second, and third‐ line treatments, with consideration given to levels of evidence for efficacy, clinical support based on experience, and consensus ratings of safety, tolerability, and treatment‐emergent switch risk. New to these guidelines, hierarchical rankings were created for first and second‐ line treatments recommended for acute mania, acute depression, and maintenance treatment in bipolar I disorder. Created by considering the impact of each treatment across all phases of illness, this hierarchy will further assist clinicians in making evidence‐based treatment decisions. Lithium, quetiapine, divalproex, asenapine, aripiprazole, paliperidone, risperidone, and cariprazine alone or in combination are recommended as first‐line treatments for acute mania. First‐line options for bipolar I depression include quetiapine, lurasidone plus lithium or divalproex, lithium, lamotrigine, lurasidone, or adjunctive lamotrigine. While medications that have been shown to be effective for the acute phase should generally be continued for the maintenance phase in bipolar I disorder, there are some exceptions (such as with antidepressants); and available data suggest that lithium, quetiapine, divalproex, lamotrigine, asenapine, and aripiprazole monotherapy or combination treatments should be considered first‐line for those initiating or switching treatment during the maintenance phase. In addition to addressing issues in bipolar I disorder, these guidelines also provide an overview of, and recommendations for, clinical management of bipolar II disorder, as well as advice on specific populations, such as women at various stages of the reproductive cycle, children and adolescents, and older adults. There are also discussions on the impact of specific psychiatric and medical comorbidities such as substance use, anxiety, and metabolic disorders. Finally, an overview of issues related to safety and monitoring is provided. The CANMAT and ISBD groups hope that these guidelines become a valuable tool for practitioners across the globe.

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Section: Foundations Of Managementmentioning

confidence: 99%

Canadian Network for Mood and Anxiety Treatments (CANMAT) and International Society for Bipolar Disorders (ISBD) 2018 guidelines for the management of patients with bipolar disorder

et al. 2018

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“…Bipolar disorder frequently emerges in the late teens and young adults (1)(2)(3) and its prevalence in males and females is the same (4). The nature, course, and prognosis of bipolar disorder include: (a) a tendency toward remission and recurrent mood episodes (5), (b) frequent comorbidities such as substance use and anxiety disorders (6), (c) decreased quality of life and neurocognitive functioning in various domains such as work and family life (7,8), and (d) high mortality characterized by suicide (9,10) and general medical conditions (11).…”

Section: Introductionmentioning

confidence: 99%

Patterns in Psychiatrists’ Prescription of Valproate for Female Patients of Childbearing Age With Bipolar Disorder in Japan: A Questionnaire Survey

et al. 2020

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“…Age of onset may be determined by environmental and genetic conditions (Bauer M. et al, 2014; Martinez-Cengotitabengoa et al, 2014; Bauer et al, 2015a,b). Commonly, BD onset happens during youth years, leading to cognitive, affective, and functional impairment (Forcada et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

White Matter Tract Integrity in Alzheimer's Disease vs. Late Onset Bipolar Disorder and Its Correlation with Systemic Inflammation and Oxidative Stress Biomarkers

Besga

Chyzhyk

González-Ortega

et al. 2017

Front. Aging Neurosci.

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Background: Late Onset Bipolar Disorder (LOBD) is the development of Bipolar Disorder (BD) at an age above 50 years old. It is often difficult to differentiate from other aging dementias, such as Alzheimer's Disease (AD), because they share cognitive and behavioral impairment symptoms.Objectives: We look for WM tract voxel clusters showing significant differences when comparing of AD vs. LOBD, and its correlations with systemic blood plasma biomarkers (inflammatory, neurotrophic factors, and oxidative stress).Materials: A sample of healthy controls (HC) (n = 19), AD patients (n = 35), and LOBD patients (n = 24) was recruited at the Alava University Hospital. Blood plasma samples were obtained at recruitment time and analyzed to extract the inflammatory, oxidative stress, and neurotrophic factors. Several modalities of MRI were acquired for each subject,Methods: Fractional anisotropy (FA) coefficients are obtained from diffusion weighted imaging (DWI). Tract based spatial statistics (TBSS) finds FA skeleton clusters of WM tract voxels showing significant differences for all possible contrasts between HC, AD, and LOBD. An ANOVA F-test over all contrasts is carried out. Results of F-test are used to mask TBSS detected clusters for the AD > LOBD and LOBD > AD contrast to select the image clusters used for correlation analysis. Finally, Pearson's correlation coefficients between FA values at cluster sites and systemic blood plasma biomarker values are computed.Results: The TBSS contrasts with by ANOVA F-test has identified strongly significant clusters in the forceps minor, inferior longitudinal fasciculus, inferior fronto-occipital fasciculus, and cingulum gyrus. The correlation analysis of these tract clusters found strong negative correlation of AD with the nerve growth factor (NGF) and brain derived neurotrophic factor (BDNF) blood biomarkers. Negative correlation of AD and positive correlation of LOBD with inflammation biomarker IL6 was also found.Conclusion: TBSS voxel clusters tract atlas localizations are consistent with greater behavioral impairment and mood disorders in LOBD than in AD. Correlation analysis confirms that neurotrophic factors (i.e., NGF, BDNF) play a great role in AD while are absent in LOBD pathophysiology. Also, correlation results of IL1 and IL6 suggest stronger inflammatory effects in LOBD than in AD.

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Influence of birth cohort on age of onset cluster analysis in bipolar I disorder

Cited by 29 publications

References 50 publications

Canadian Network for Mood and Anxiety Treatments (CANMAT) and International Society for Bipolar Disorders (ISBD) 2018 guidelines for the management of patients with bipolar disorder

Canadian Network for Mood and Anxiety Treatments (CANMAT) and International Society for Bipolar Disorders (ISBD) 2018 guidelines for the management of patients with bipolar disorder

Patterns in Psychiatrists’ Prescription of Valproate for Female Patients of Childbearing Age With Bipolar Disorder in Japan: A Questionnaire Survey

White Matter Tract Integrity in Alzheimer's Disease vs. Late Onset Bipolar Disorder and Its Correlation with Systemic Inflammation and Oxidative Stress Biomarkers

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