Literature DB >> 15994709

Comparison of rapid-cycling and non-rapid-cycling bipolar disorder based on prospective mood ratings in 539 outpatients.

Ralph W Kupka1, David A Luckenbaugh, Robert M Post, Trisha Suppes, Lori L Altshuler, Paul E Keck, Mark A Frye, Kirk D Denicoff, Heinz Grunze, Gabriele S Leverich, Susan L McElroy, Jörg Walden, Willem A Nolen.   

Abstract

OBJECTIVE: To detect risk factors for rapid cycling in bipolar disorder, the authors compared characteristics of rapid-cycling and non-rapid-cycling patients both from a categorical and a dimensional perspective.
METHOD: Outpatients with bipolar I disorder (N=419), bipolar II disorder (N=104), and bipolar disorder not otherwise specified (N=16) were prospectively evaluated with daily mood ratings for 1 year. Subjects were classified as having rapid cycling (defined by the DSM-IV criterion of four or more manic or depressive episodes within 1 year) or not having rapid cycling, and the two groups' demographic and retrospective and prospective illness characteristics were compared. Associated factors were also evaluated in relationship to episode frequency.
RESULTS: Patients with rapid cycling (N=206; 38.2%) significantly differed from those without rapid cycling (N=333) with respect to the following independent variables: history of childhood physical and/or sexual abuse, bipolar I disorder subtype, number of lifetime manic or depressive episodes, history of rapid cycling, and history of drug abuse. The prevalence of these characteristics increased progressively with episode frequency. The proportion of women was greater than the proportion of men only among patients with eight or more episodes per year. The average time spent manic/hypomanic increased as a function of episode frequency, but the average time spent depressed was comparable in patients with one episode and in those with more than one episode. Brief episodes were as frequent as full-duration DSM-IV-defined episodes.
CONCLUSIONS: A number of heterogeneous risk factors were progressively associated with increasing episode frequency. Depression predominated in all bipolar disorder patients, but patients with rapid cycling were more likely to be characterized by manic features. The findings overall suggest that rapid cycling is a dimensional course specifier arbitrarily defined on a continuum of episode frequency.

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Year:  2005        PMID: 15994709     DOI: 10.1176/appi.ajp.162.7.1273

Source DB:  PubMed          Journal:  Am J Psychiatry        ISSN: 0002-953X            Impact factor:   18.112


  37 in total

1.  Illness progression as a function of independent and accumulating poor prognosis factors in outpatients with bipolar disorder in the United States.

Authors:  Robert M Post; Lori L Altshuler; Gabriele S Leverich; Willem A Nolen; Ralph Kupka; Heinz Grunze; Mark A Frye; Trisha Suppes; Susan L McElroy; Paul E Keck; Mike Rowe
Journal:  Prim Care Companion CNS Disord       Date:  2014-12-18

Review 2.  New findings from the Bipolar Collaborative Network: clinical implications for therapeutics.

Authors:  Robert M Post; Lori L Altshuler; Mark A Frye; Trisha Suppes; Susan McElroy; Paul E Keck; Gabriele S Leverich; Ralph Kupka; Willem A Nolen; Heinz Grunze
Journal:  Curr Psychiatry Rep       Date:  2006-12       Impact factor: 5.285

3.  Antidepressants worsen rapid-cycling course in bipolar depression: A STEP-BD randomized clinical trial.

Authors:  Rif S El-Mallakh; Paul A Vöhringer; Michael M Ostacher; Claudia F Baldassano; Niki S Holtzman; Elizabeth A Whitham; Sairah B Thommi; Frederick K Goodwin; S Nassir Ghaemi
Journal:  J Affect Disord       Date:  2015-06-10       Impact factor: 4.839

4.  Testing frameworks for personalizing bipolar disorder.

Authors:  Amy L Cochran; André Schultz; Melvin G McInnis; Daniel B Forger
Journal:  Transl Psychiatry       Date:  2018-02-02       Impact factor: 6.222

5.  Rapid cycling bipolar disorders in primary and tertiary care treated patients.

Authors:  Tomas Hajek; Margaret Hahn; Claire Slaney; Julie Garnham; Joshua Green; Martina Růzicková; Peter Zvolský; Martin Alda
Journal:  Bipolar Disord       Date:  2008-06       Impact factor: 6.744

6.  Bipolar disorder with frequent mood episodes in the national comorbidity survey replication (NCS-R).

Authors:  A A Nierenberg; H S Akiskal; J Angst; R M Hirschfeld; K R Merikangas; M Petukhova; R C Kessler
Journal:  Mol Psychiatry       Date:  2009-06-30       Impact factor: 15.992

7.  Lifetime and 12-month prevalence of bipolar spectrum disorder in the National Comorbidity Survey replication.

Authors:  Kathleen R Merikangas; Hagop S Akiskal; Jules Angst; Paul E Greenberg; Robert M A Hirschfeld; Maria Petukhova; Ronald C Kessler
Journal:  Arch Gen Psychiatry       Date:  2007-05

8.  Individualized identification of euthymic bipolar disorder using the Cambridge Neuropsychological Test Automated Battery (CANTAB) and machine learning.

Authors:  Mon-Ju Wu; Ives Cavalcante Passos; Isabelle E Bauer; Luca Lavagnino; Bo Cao; Giovana B Zunta-Soares; Flávio Kapczinski; Benson Mwangi; Jair C Soares
Journal:  J Affect Disord       Date:  2015-12-30       Impact factor: 4.839

9.  Differential interactions between comorbid anxiety disorders and substance use disorder in rapid cycling bipolar I or II disorder.

Authors:  Keming Gao; Bryan K Tolliver; David E Kemp; Marcia L Verduin; Stephen J Ganocy; Sarah Bilali; Kathleen T Brady; Seong S Shim; Robert L Findling; Joseph R Calabrese
Journal:  J Affect Disord       Date:  2008-01-29       Impact factor: 4.839

10.  A prospective study examining the effects of gender and sexual/physical abuse on mood outcomes in patients with co-occurring bipolar I and substance use disorders.

Authors:  Christina S Meade; Leah J McDonald; Fiona S Graff; Garrett M Fitzmaurice; Margaret L Griffin; Roger D Weiss
Journal:  Bipolar Disord       Date:  2009-04-15       Impact factor: 6.744

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