Literature DB >> 11816046

Utility of the daily prospective National Institute of Mental Health Life-Chart Method (NIMH-LCM-p) ratings in clinical trials of bipolar disorder.

Kirk D Denicoff1, S Omar Ali, Ann B Sollinger, Earlian E Smith-Jackson, Gabriele S Leverich, Robert M Post.   

Abstract

This study investigated the assets of the daily prospective National Institute of Mental Health Life-Chart Method (NIMH-LCM-p or LCM-p) for use in clinical trials in bipolar disorder. Fifty-two outpatients, who met DSM-III-R criteria for bipolar disorder, were randomly assigned in a double-blind design to an intended 1 year of treatment with lithium or carbamazepine, a crossover to the opposite drug in the second year, and then to a combination of both agents in the third year. For each patient, the LCM-p was initiated upon admission and was continued on a daily basis. Overall therapeutic effect for each phase (intended year) was assessed by using the Clinical Global Impressions-Bipolar Version (CGI-BP) scale. Kruskal-Wallis analysis of variance was used to examine the detailed course-of-illness variables derived from the LCM-p (e.g., percentage of time ill, average severity of illness, episodes per year, and mood switches per year) in relation to the global assessments of treatment response (CGI-BP). Most of the individual LCM-p-derived illness variables varied significantly (P <.05) as a function of global treatment response. Since global ratings of the degree of improvement can represent very different proportions of improvement in percentage of time ill, average severity of mania or depression, or frequency of manic and depressive episodes, the LCM-p provides the basis for a comprehensive description of both the illness course and the response to treatment. The LCM-p appears to have considerable utility in clinical trials of pharmacological and other interventions of bipolar disorder. It provides a detailed characterization of the severity, frequency, and duration of manic and depressive episodes, which facilitates the assessment of global improvement and allows for the quantification of separate components of the illness, which are or are not responsive to a given treatment. Copyright 2002 Wiley-Liss, Inc.

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Year:  2002        PMID: 11816046     DOI: 10.1002/da.1078

Source DB:  PubMed          Journal:  Depress Anxiety        ISSN: 1091-4269            Impact factor:   6.505


  8 in total

1.  Assessment Tools for Adult Bipolar Disorder.

Authors:  Christopher J Miller; Sheri L Johnson; Lori Eisner
Journal:  Clin Psychol (New York)       Date:  2009-06-01

2.  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.

Authors:  Lakshmi N Yatham; Sidney H Kennedy; Sagar V Parikh; Ayal Schaffer; David J Bond; Benicio N Frey; Verinder Sharma; Benjamin I Goldstein; Soham Rej; Serge Beaulieu; Martin Alda; Glenda MacQueen; Roumen V Milev; Arun Ravindran; Claire O'Donovan; Diane McIntosh; Raymond W Lam; Gustavo Vazquez; Flavio Kapczinski; Roger S McIntyre; Jan Kozicky; Shigenobu Kanba; Beny Lafer; Trisha Suppes; Joseph R Calabrese; Eduard Vieta; Gin Malhi; Robert M Post; Michael Berk
Journal:  Bipolar Disord       Date:  2018-03-14       Impact factor: 6.744

Review 3.  False dogmas in mood disorders research: Towards a nomothetic network approach.

Authors:  Michael Hj Maes; Drozdstoy Stoyanov
Journal:  World J Psychiatry       Date:  2022-05-19

4.  Allergen Specific IgE, Number and Timing of Past Suicide Attempts, and Instability in Patients with Recurrent Mood Disorders.

Authors:  Teodor T Postolache; Darryl W Roberts; Patricia Langenberg; Olesja Muravitskaja; John W Stiller; Robert G Hamilton; Leonardo H Tonelli
Journal:  Int J Child Health Hum Dev       Date:  2008

5.  Web-Based Graphic Representation of the Life Course of Mental Health: Cross-Sectional Study Across the Spectrum of Mood, Anxiety, Eating, and Substance Use Disorders.

Authors:  Robin Leora Aupperle; Martin P Paulus; Rayus Kuplicki; James Touthang; Teresa Victor; Hung-Wen Yeh; Sahib S Khalsa
Journal:  JMIR Ment Health       Date:  2020-01-28

6.  How to make online mood-monitoring in bipolar patients a success? A qualitative exploration of requirements.

Authors:  B Geerling; S M Kelders; R W Kupka; A W M M Stevens; E T Bohlmeijer
Journal:  Int J Bipolar Disord       Date:  2021-12-01

7.  Data quality indicators for daily life chart methodology: prospective self-ratings of bipolar disorder and alcohol use.

Authors:  Stasja Draisma; Jan van Zaane; Johannes H Smit
Journal:  BMC Res Notes       Date:  2015-09-24

8.  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

  8 in total

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