Branding/Logomark minus Citation Combined Shape Icon/Bookmark-empty Icon/Copy Icon/Collection Icon/Close Copy 7 no author result Created with Sketch. Icon/Back Created with Sketch. Match!
Jules Angst
University of Zurich
554Publications
81H-index
25.8kCitations
Publications 554
Newest
Published on Jun 1, 2019in Journal of Affective Disorders 4.08
Margherita Barbuti3
Estimated H-index: 3
(UniPi: University of Pisa),
Lorenzo Mazzarini15
Estimated H-index: 15
(Sapienza University of Rome)
+ 6 AuthorsGiulio Perugi43
Estimated H-index: 43
(UniPi: University of Pisa)
Abstract Background current classifications of mood disorders focus on polarity rather than recurrence, separating bipolar disorder from major depressive disorder (MDD). The aim of the present study is to explore the possible relationships between number and frequency of depressive episodes and clinical variables associated to bipolarity, in a large sample of MDD patients. Methods the clinical characteristics of 7055 patients with MDD were analyzed and compared according to the number and freque...
Published in Bipolar Disorders 4.94
Margherita Barbuti3
Estimated H-index: 3
(UniPi: University of Pisa),
Cecilia Mainardi (University of Barcelona)+ -3 AuthorsAllan H. Young69
Estimated H-index: 69
(South London and Maudsley NHS Foundation Trust)
Published on Aug 1, 2019in Journal of Psychiatric Research 3.92
Giulio E. Brancati , Eduard Vieta92
Estimated H-index: 92
+ 5 AuthorsGiulio Perugi43
Estimated H-index: 43
Abstract Background DSM-5 and ICD-11 define mixed depression as the presence of non-overlapping symptoms of opposite polarity during a major depressive episode. However, such a definition has generated controversy. Methods 2720 patients with major depression, enrolled in BRIDGE–II–MIX cross-sectional study, were subdivided in clusters using a k-medoids algorithm based on 32 clinical features. Clinical variables were compared among clusters. Stepwise logistic regression and random forest predicto...
Published on Jun 1, 2019in European Neuropsychopharmacology 4.47
Giulio Perugi43
Estimated H-index: 43
(UniPi: University of Pisa),
I. Pacchiarotti26
Estimated H-index: 26
(University of Barcelona)
+ 9 AuthorsSergey Mosolov9
Estimated H-index: 9
Abstract Resistance and worsening of depression in response to antidepressants (ADs) are major clinical challenges. In a large international sample of patients with major depressive disorder (MDD), we aim to explore the possible associations between different patterns of response to ADs and bipolarity. A total of 2811 individuals with a major depressive episode (MDE) were enrolled in the BRIDGE-II-MIX study. This post-hoc analysis included only 1329 (47%) patients suffering from MDD. Patients wi...
Published on Apr 1, 2019in European Neuropsychopharmacology 4.47
A. Murru23
Estimated H-index: 23
(University of Barcelona),
G. Guiso (University of Barcelona)+ 13 AuthorsSergey Mosolov9
Estimated H-index: 9
Abstract According to the DSM-5, “reduction in the need for sleep” is the only sleep-related criteria for mixed features in depressive episodes. We aimed at studying the prevalence, clinical correlates and the role of hypersomnia in a sample of acutely depressed patients. Secondarily, we factors significantly increasing the odds of hypersomnia were studied. We conducted a post-hoc analysis of the BRIDGE-II-Mix study. Variables were compared between patients with hypersomnia (SLEEP+) and with ins...
Published on Mar 1, 2019in Journal of Affective Disorders 4.08
Giulia Vannucchi7
Estimated H-index: 7
(UniFI: University of Florence),
Pierpaolo Medda12
Estimated H-index: 12
(UniPi: University of Pisa)
+ 8 AuthorsSergey Mosolov9
Estimated H-index: 9
Abstract Objective This study primarily focused on the relationship between comorbid attention deficit-hyperactivity disorder (ADHD), mixed features and bipolarity in major depressive patients. Methods The sample comprised 2777 patients with Major Depressive Episode (MDE) enrolled in a multicentre, multinational study originally designed to assess different definitions of mixed depression. Socio-demographic, familial and clinical characteristics were compared in patients with (ADHD + ) and witho...
Published on Feb 1, 2019in Journal of Affective Disorders 4.08
Meng Fang (Capital Medical University), Yuan-Yuan Wang4
Estimated H-index: 4
(DMU: De Montfort University)
+ 5 AuthorsJules Angst81
Estimated H-index: 81
(UZH: University of Zurich)
Abstract Background Misdiagnosis of bipolar disorder (BD) is common in clinical practice, leading to inappropriate treatment and detrimental consequences. The 33-item Hypomania Checklist (HCL-33) is a newly developed screening instrument for hypomanic symptoms in patients with BD. The 33-item Hypomania Checklist-external assessment (HCL-33-EA) is a version of the HCL-33 for carers of patients with mood disorders. In this study, the psychometric properties of the HCL-33-EA in a Chinese population...
Published on Jan 29, 2019in Lifetime Data Analysis 0.95
Per Kragh Andersen73
Estimated H-index: 73
(UCPH: University of Copenhagen),
Jules Angst81
Estimated H-index: 81
(UZH: University of Zurich),
Henrik Ravn1
Estimated H-index: 1
(Novo Nordisk)
We study models for recurrent events with special emphasis on the situation where a terminal event acts as a competing risk for the recurrent events process and where there may be gaps between periods during which subjects are at risk for the recurrent event. We focus on marginal analysis of the expected number of events and show that an Aalen–Johansen type estimator proposed by Cook and Lawless is applicable in this situation. A motivating example deals with psychiatric hospital admissions wher...
12345678910