Literature DB >> 16021664

Late-onset major depression: clinical and treatment-response variability.

Henry C Driscoll1, James Basinski, Benoit H Mulsant, Meryl A Butters, Mary Amanda Dew, Patricia R Houck, Sati Mazumdar, Mark D Miller, Bruce G Pollock, Jacqueline A Stack, Mary Ann Schlernitzauer, Charles F Reynolds.   

Abstract

OBJECTIVE: To explore clinical and treatment-response variability in late-onset vs early-onset non-bipolar, non-psychotic major depression.
METHODS: We grouped patients from a late-life depression treatment study according to illness-course characteristics: those with early-onset, recurrent depression (n = 59), late-onset, recurrent depression (n = 27), and late-onset, single-episode depression (n = 95). Early-onset was defined as having a first lifetime episode of major depression at age 59 or earlier; late-onset was defined as having a first episode of major depression at age 60 or later. We characterized the three groups of patients with respect to baseline demographic, neuropsychological, and clinical characteristics, use of augmentation pharmacotherapy to achieve response, and treatment outcomes.
RESULTS: Rates of response, remission, relapse, and termination were similar in all three groups; however, patients with late-onset, recurrent major depression took longer to respond to treatment than those with late-onset, single-episode depression (12 weeks vs 8 weeks) and had more cognitive and functional impairment. Additionally, patients with recurrent depression (whether early or late) were more likely to require pharmacotherapy augmentation to achieve response than patients with a single lifetime episode.
CONCLUSION: Late-onset, recurrent depression takes longer to respond to treatment than late-onset single-episode depression and is more strongly associated with cognitive and functional impairment. Further study of biological, neuropsychologic, and psychosocial correlates of late-onset, recurrent depression is needed. Copyright 2005 John Wiley & Sons, Ltd.

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Year:  2005        PMID: 16021664     DOI: 10.1002/gps.1334

Source DB:  PubMed          Journal:  Int J Geriatr Psychiatry        ISSN: 0885-6230            Impact factor:   3.485


  13 in total

Review 1.  A Meta-Analysis of Executive Dysfunction and Antidepressant Treatment Response in Late-Life Depression.

Authors:  Monique A Pimontel; David Rindskopf; Bret R Rutherford; Patrick J Brown; Steven P Roose; Joel R Sneed
Journal:  Am J Geriatr Psychiatry       Date:  2015-05-21       Impact factor: 4.105

2.  Impaired cerebral hemodynamics in late-onset depression: computed tomography angiography, computed tomography perfusion, and magnetic resonance imaging evaluation.

Authors:  Jinhong Wang; Renren Li; Meng Liu; Zhiyu Nie; Lingjing Jin; Zheng Lu; Yunxia Li
Journal:  Quant Imaging Med Surg       Date:  2020-09

3.  Resilience predicts remission in antidepressant treatment of geriatric depression.

Authors:  Kelsey T Laird; Helen Lavretsky; Natalie St Cyr; Prabha Siddarth
Journal:  Int J Geriatr Psychiatry       Date:  2018-07-23       Impact factor: 3.485

Review 4.  Association of Microvascular Dysfunction With Late-Life Depression: A Systematic Review and Meta-analysis.

Authors:  Marnix J M van Agtmaal; Alfons J H M Houben; Frans Pouwer; Coen D A Stehouwer; Miranda T Schram
Journal:  JAMA Psychiatry       Date:  2017-07-01       Impact factor: 21.596

Review 5.  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

6.  Serotonin transporter genotype interacts with paroxetine plasma levels to influence depression treatment response in geriatric patients.

Authors:  Francis E Lotrich; Bruce G Pollock; Margaret Kirshner; Robert F Ferrell; Charles F Reynolds Iii
Journal:  J Psychiatry Neurosci       Date:  2008-03       Impact factor: 6.186

7.  Contemporary concepts in the pharmacotherapy of depression in older people.

Authors:  Carlos Rojas-Fernandez; Mina Mikhail
Journal:  Can Pharm J (Ott)       Date:  2012-05

8.  Dynamic prediction of treatment response in late-life depression.

Authors:  Ian Joel; Amy E Begley; Benoit H Mulsant; Eric J Lenze; Sati Mazumdar; Mary Amanda Dew; Daniel Blumberger; Meryl Butters; Charles F Reynolds
Journal:  Am J Geriatr Psychiatry       Date:  2013-02-06       Impact factor: 4.105

9.  SLC6A4 polymorphisms and age of onset in late-life depression on treatment outcomes with citalopram: a Sequenced Treatment Alternatives to Relieve Depression (STAR*D) report.

Authors:  Paulo R Shiroma; Maureen S Drews; Jennifer R Geske; David A Mrazek
Journal:  Am J Geriatr Psychiatry       Date:  2013-08-20       Impact factor: 4.105

10.  A Comparative Study of Regional Homogeneity of Resting-State fMRI Between the Early-Onset and Late-Onset Recurrent Depression in Adults.

Authors:  Ji-Fei Sun; Li-Mei Chen; Jia-Kai He; Zhi Wang; Chun-Lei Guo; Yue Ma; Yi Luo; De-Qiang Gao; Yang Hong; Ji-Liang Fang; Feng-Quan Xu
Journal:  Front Psychol       Date:  2022-04-07
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