Literature DB >> 16027561

Trajectories of treatment response in late-life depression: psychosocial and clinical correlates.

Ariel G Gildengers1, Patricia R Houck, Benoit H Mulsant, Mary Amanda Dew, Howard J Aizenstein, Bobby L Jones, Joel Greenhouse, Bruce G Pollock, Charles F Reynolds.   

Abstract

The authors examined the effect of psychosocial and clinical variables on treatment response trajectory in elderly patients with major depressive disorder. Three studies provided data on treatment response in 360 elderly depressed subjects who participated in protocols using either nortriptyline or paroxetine as monotherapy or, in 2 studies, combined with interpersonal psychotherapy. Treatment response was assessed with the Hamilton Rating Scale for Depression-17 Item (HRSD-17) score over 12 weeks of acute treatment in each study. The mixture-modeling method of trajectory analysis was used to identify different subpopulations of response, and to determine whether baseline HRSD-17 score, depressive illness course (single or recurrent), current episode duration, Interpersonal Self Evaluation List-Self-esteem factor, age at study entry, and medical burden were risk factor covariates associated with response trajectory. As a contrast, logistic regression was used to assess the association between the same covariates and the probability of response (defined as HRSD-17 < or =10 and 50% reduction from baseline). In each study, there were 2 response trajectories with similar course, but with different speed. We classified the trajectories as "rapid response" and "slower response." Baseline HRSD-17 score was a significant predictor of response trajectory, with higher initial score related to slower response trajectory. Higher self-esteem was associated with more rapid response trajectory. In the logistic regression analysis, in two of the studies, higher baseline HRSD-17 score was a significant risk factor for nonresponse. In the study without psychotherapy, higher self-esteem was associated with responding to treatment. Thus, trajectory analysis can identify different trajectories of responders and determine psychosocial and clinical variables associated with response trajectory in the acute treatment of geriatric depression. Further study focusing on risk factors associated with slower response may help optimize treatment in elderly patients who do not respond quickly to first-line therapies.

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Year:  2005        PMID: 16027561     DOI: 10.1097/01.jcp.0000161498.81137.12

Source DB:  PubMed          Journal:  J Clin Psychopharmacol        ISSN: 0271-0749            Impact factor:   3.153


  25 in total

1.  Magnetic resonance imaging predictors of treatment response in late-life depression.

Authors:  Howard J Aizenstein; Alexander Khalaf; Sarah E Walker; Carmen Andreescu
Journal:  J Geriatr Psychiatry Neurol       Date:  2013-12-30       Impact factor: 2.680

2.  An Evaluation of IMPACT for the Treatment of Late-Life Depression in a Public Mental Health System.

Authors:  Michael J Penkunas; Stephen Hahn-Smith
Journal:  J Behav Health Serv Res       Date:  2015-07       Impact factor: 1.505

3.  Intrinsic inter-network brain dysfunction correlates with symptom dimensions in late-life depression.

Authors:  Wenjun Li; Yang Wang; B Douglas Ward; Piero G Antuono; Shi-Jiang Li; Joseph S Goveas
Journal:  J Psychiatr Res       Date:  2016-12-12       Impact factor: 4.791

Review 4.  Transcranial Magnetic Stimulation (TMS) in the Elderly.

Authors:  Ilva G Iriarte; Mark S George
Journal:  Curr Psychiatry Rep       Date:  2018-02-10       Impact factor: 5.285

5.  Empirically derived decision trees for the treatment of late-life depression.

Authors:  Carmen Andreescu; Benoit H Mulsant; Patricia R Houck; Ellen M Whyte; Sati Mazumdar; Alexandre Y Dombrovski; Bruce G Pollock; Charles F Reynolds
Journal:  Am J Psychiatry       Date:  2008-05-01       Impact factor: 18.112

6.  Does age at onset have clinical significance in older adults with bipolar disorder?

Authors:  David Chu; Ariel G Gildengers; Patricia R Houck; Stewart J Anderson; Benoit H Mulsant; Charles F Reynolds; David J Kupfer
Journal:  Int J Geriatr Psychiatry       Date:  2010-12       Impact factor: 3.485

7.  Antidepressant Response Trajectories and Associated Clinical Prognostic Factors Among Older Adults.

Authors:  Stephen F Smagula; Meryl A Butters; Stewart J Anderson; Eric J Lenze; Mary Amanda Dew; Benoit H Mulsant; Francis E Lotrich; Howard Aizenstein; Charles F Reynolds
Journal:  JAMA Psychiatry       Date:  2015-10       Impact factor: 21.596

8.  Predicting 6-week treatment response to escitalopram pharmacotherapy in late-life major depressive disorder.

Authors:  Ramin Saghafi; Charlotte Brown; Meryl A Butters; Jill Cyranowski; Mary Amanda Dew; Ellen Frank; Ariel Gildengers; Jordan F Karp; Eric J Lenze; Francis Lotrich; Lynn Martire; Sati Mazumdar; Mark D Miller; Benoit H Mulsant; Elizabeth Weber; Ellen Whyte; Jennifer Morse; Jacqueline Stack; Patricia R Houck; Salem Bensasi; Charles F Reynolds
Journal:  Int J Geriatr Psychiatry       Date:  2007-11       Impact factor: 3.485

9.  Web-based training and interrater reliability testing for scoring the Hamilton Depression Rating Scale.

Authors:  Jules Rosen; Benoit H Mulsant; Patricia Marino; Christopher Groening; Robert C Young; Debra Fox
Journal:  Psychiatry Res       Date:  2008-08-30       Impact factor: 3.222

Review 10.  Getting better, getting well: understanding and managing partial and non-response to pharmacological treatment of non-psychotic major depression in old age.

Authors:  Henry C Driscoll; Jordan F Karp; Mary Amanda Dew; Charles F Reynolds
Journal:  Drugs Aging       Date:  2007       Impact factor: 3.923

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