Literature DB >> 18384245

Onset of depressive episodes is faster in patients with bipolar versus unipolar depressive disorder: evidence from a retrospective comparative study.

Ulrich Hegerl1, Anja-Christine Bottner, Bettina Holtschmidt-Täschner, Christoph Born, Florian Seemüller, Winfried Scheunemann, Michael Schütze, Heinz Grunze, Verena Henkel, Roland Mergl, Jules Angst.   

Abstract

OBJECTIVE: Depressive episodes can have a very fast onset (< 1 hour) or start very slowly (> 1 month). This interesting aspect, pointing to different neurophysiological pathomechanisms, has not been systematically evaluated so far. The aim of this study was to describe speed of onset of depressive episodes in a consecutive sample of patients with at least 1 depressive episode and to investigate potential differences between patients with major depression versus bipolar affective disorders concerning this variable.
METHOD: We examined 158 consecutive adult patients with major depression (N = 108) and bipolar disorder (N = 50) diagnosed according to criteria of the International Statistical Classification of Diseases, 10th revision, by applying the structured Onset-of-Depression Inventory. Patients with acute critical life events preceding the onset were excluded from final analyses. Data were collected between December 2001 and January 2007.
RESULTS: There was a significant positive association between speed of onset of the present depressive episode and that of the preceding depressive episode (rho = 0.66, p < .001). Patients with bipolar disorder developed full-blown depressive episodes significantly faster than patients with major depression (p < .001): Whereas depressive episodes began within 1 week in 58% of patients with bipolar disorder, this was the case in only 7.4% of patients with major depression.
CONCLUSION: Intraindividually, the speed of onset of depression is similar across different episodes. In the absence of acute critical life events, fast onset of depressive episodes (within 1 week) is common in bipolar disorder but rare in major depression. This aspect might be useful to identify depressive episodes occurring within a bipolar affective illness and might characterize a subgroup of patients with a distinct neurobiology.

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Year:  2008        PMID: 18384245     DOI: 10.4088/jcp.v69n0705

Source DB:  PubMed          Journal:  J Clin Psychiatry        ISSN: 0160-6689            Impact factor:   4.384


  7 in total

1.  [Bipolar depression. Spectrum of clinical pictures and differentiation from unipolar depression].

Authors:  F Seemüller; M Riedel; S Dargel; N Djaja; R Schennach-Wolff; S Dittmann; H-J Möller; E Severus
Journal:  Nervenarzt       Date:  2010-05       Impact factor: 1.214

Review 2.  The significance of at-risk or prodromal symptoms for bipolar I disorder in children and adolescents.

Authors:  Marta Hauser; Christoph U Correll
Journal:  Can J Psychiatry       Date:  2013-01       Impact factor: 4.356

Review 3.  Early interventions for youths at high risk for bipolar disorder: a developmental approach.

Authors:  Xavier Benarous; Angèle Consoli; Vanessa Milhiet; David Cohen
Journal:  Eur Child Adolesc Psychiatry       Date:  2015-09-22       Impact factor: 4.785

4.  The Bipolar Prodrome Symptom Interview and Scale-Prospective (BPSS-P): description and validation in a psychiatric sample and healthy controls.

Authors:  Christoph U Correll; Doreen M Olvet; Andrea M Auther; Marta Hauser; Taishiro Kishimoto; Ricardo E Carrión; Stephanie Snyder; Barbara A Cornblatt
Journal:  Bipolar Disord       Date:  2014-05-08       Impact factor: 6.744

Review 5.  Diagnosis and treatment in the early illness phase of bipolar disorders.

Authors:  Michael Bauer; Georg Juckel; Christoph U Correll; Karolina Leopold; Andrea Pfennig
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2008-11       Impact factor: 5.270

6.  Association between acute critical life events and the speed of onset of depressive episodes in male and female depressed patients.

Authors:  Maria Strauss; Roland Mergl; Nora Gürke; Kerstin Kleinert; Christian Sander; Ulrich Hegerl
Journal:  BMC Psychiatry       Date:  2018-10-16       Impact factor: 3.630

7.  Saving time and money: a validation of the self ratings on the prospective NIMH Life-Chart Method (NIMH-LCM).

Authors:  Christoph Born; Benedikt L Amann; Heinz Grunze; Robert M Post; Lars Schärer
Journal:  BMC Psychiatry       Date:  2014-05-07       Impact factor: 3.630

  7 in total

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