Literature DB >> 15285972

Correlates of 1-year prospective outcome in bipolar disorder: results from the Stanley Foundation Bipolar Network.

Willem A Nolen1, David A Luckenbaugh, Lori L Altshuler, Trisha Suppes, Susan L McElroy, Mark A Frye, Ralph W Kupka, Paul E Keck, Gabriele S Leverich, Robert M Post.   

Abstract

OBJECTIVE: The purpose of the study was to examine potential correlates of outcome in patients treated for bipolar disorder.
METHOD: During a 1-year period, 258 patients with DSM-IV bipolar disorder or schizoaffective disorder were rated with the prospective NIMH-Life Chart Method, which characterizes each day in terms of the severity of manic and depressive symptoms on the basis of patients' mood-related impairment in their usual educational, social, or occupational roles. Mean ratings for the severity of mania, depression, and overall bipolar illness and the number of manic, depressive, and overall illness episodes were calculated. Potential risk factors were assessed at the start of the study, and multivariate linear regression analysis was used to determine the correlates of the six 1-year outcome measures.
RESULTS: Three of the six outcome measures were largely independent of each other and were used in the analysis. The mean rating for severity of mania was associated with comorbid substance abuse, history of more than 10 prior manic episodes, and poor occupational functioning at study entry. The mean rating for severity of depression was associated with a history of more than 10 prior depressive episodes and poor occupational functioning at study entry. The total number of overall illness episodes was associated with a positive family history of drug abuse, a history of prior rapid cycling, and poor occupational functioning. In addition, the mean rating for severity of mania and the total number of overall illness episodes were both initially associated with a history of childhood abuse, but these relationships were lost with the addition of other illness variables to the analysis.
CONCLUSIONS: Clinicians who treat patients with bipolar disorder should consider a family history of drug abuse, a history of childhood abuse, prior course of illness, comorbid substance abuse, and occupational functioning in determining prognosis and setting goals for further treatment.

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Year:  2004        PMID: 15285972     DOI: 10.1176/appi.ajp.161.8.1447

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


  25 in total

1.  Predictors of non-stabilization during the combination therapy of lithium and divalproex in rapid cycling bipolar disorder: a post-hoc analysis of two studies.

Authors:  Keming Gao; David E Kemp; Zuowei Wang; Stephen J Ganocy; Carla Conroy; Marry Beth Serrano; Martha Sajatovic; Robert L Findling; Joseph R Calabrese
Journal:  Psychopharmacol Bull       Date:  2010

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.  Description and prediction of time-to-attainment of excellent recovery for borderline patients followed prospectively for 20 years.

Authors:  Mary C Zanarini; Christina M Temes; Frances R Frankenburg; D Bradford Reich; Garrett M Fitzmaurice
Journal:  Psychiatry Res       Date:  2018-02-20       Impact factor: 3.222

4.  Descriptive study of the occupational outcome of bipolar patients.

Authors:  E Medard; C Dubertret; C S Peretti; J Ades; A D'escatha
Journal:  J Occup Rehabil       Date:  2010-09

5.  Longitudinal course of bipolar I disorder: duration of mood episodes.

Authors:  David A Solomon; Andrew C Leon; William H Coryell; Jean Endicott; Chunshan Li; Jess G Fiedorowicz; Lara Boyken; Martin B Keller
Journal:  Arch Gen Psychiatry       Date:  2010-04

6.  Brain circuitry associated with the development of substance use in bipolar disorder and preliminary evidence for sexual dimorphism in adolescents.

Authors:  Elizabeth T C Lippard; Carolyn M Mazure; Jennifer A Y Johnston; Linda Spencer; Judah Weathers; Brian Pittman; Fei Wang; Hilary P Blumberg
Journal:  J Neurosci Res       Date:  2017-01-02       Impact factor: 4.164

7.  Prediction of time-to-attainment of recovery for borderline patients followed prospectively for 16 years.

Authors:  M C Zanarini; F R Frankenburg; D B Reich; M M Wedig; L C Conkey; G M Fitzmaurice
Journal:  Acta Psychiatr Scand       Date:  2014-03-04       Impact factor: 6.392

8.  Longitudinal trajectories of mood symptoms and global functioning in youth at high risk for bipolar disorder.

Authors:  Marc J Weintraub; Christopher D Schneck; Patricia D Walshaw; Kiki D Chang; Aimee E Sullivan; Manpreet K Singh; David J Miklowitz
Journal:  J Affect Disord       Date:  2020-08-13       Impact factor: 4.839

9.  Empirical typology of bipolar I mood episodes.

Authors:  David A Solomon; Andrew C Leon; Jean Endicott; William H Coryell; Chunshan Li; Jess G Fiedorowicz; Martin B Keller
Journal:  Br J Psychiatry       Date:  2009-12       Impact factor: 9.319

10.  Excessive substance use in bipolar disorder is associated with impaired functioning rather than clinical characteristics, a descriptive study.

Authors:  Trine V Lagerberg; Ole A Andreassen; Petter A Ringen; Akiah O Berg; Sara Larsson; Ingrid Agartz; Kjetil Sundet; Ingrid Melle
Journal:  BMC Psychiatry       Date:  2010-01-27       Impact factor: 3.630

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