Literature DB >> 26288246

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

Stephen F Smagula1, Meryl A Butters2, Stewart J Anderson3, Eric J Lenze4, Mary Amanda Dew5, Benoit H Mulsant6, Francis E Lotrich2, Howard Aizenstein2, Charles F Reynolds7.   

Abstract

IMPORTANCE: More than 50% of older adults with late-life major depressive disorder fail to respond to initial treatment with first-line pharmacological therapy.
OBJECTIVES: To assess typical patterns of response to an open-label trial of extended-release venlafaxine hydrochloride (venlafaxine XR) for late-life depression and to evaluate which clinical factors are associated with the identified longitudinal response patterns. DESIGN, SETTING, AND PARTICIPANTS: Group-based trajectory modeling was applied to data from a 12-week open-label pharmacological trial conducted in specialty care as part of the Incomplete Response in Late Life: Getting to Remission Study. Clinical prognostic factors, including domain-specific cognitive performance and individual depression symptoms, were examined in relation to response trajectories. Participants included 453 adults aged 60 years or older with current major depressive disorder. The study was conducted between August 2009 and August 2014. INTERVENTION: Open-label venlafaxine XR (titrated up to 300 mg/d) for 12 weeks. MAIN OUTCOMES AND MEASURES: Subgroups exhibiting similar response patterns were derived from repeated measures of overall depression severity obtained using the Montgomery-Asberg Depression Rating Scale.
RESULTS: Among the 453 study participants, 3 subgroups with differing baseline depression severity clearly responded to treatment: one group with the lowest baseline severity had a rapid response (n = 69 [15.23%]), and distinct responses were also apparent among groups starting at moderate (n = 108 [23.84%]) and higher (n = 25 [5.52%]) baseline symptom levels. Three subgroups had nonresponding trajectories: 2 with high baseline symptom levels (totaling 35.98%: high, nonresponse 1, n = 110 [24.28%]; high, nonresponse 2, n = 53 [11.70%]) and 1 with moderate baseline symptom levels (n = 88 [19.43%]). Several factors were independently associated with having a nonresponsive trajectory, including greater baseline depression severity, longer episode duration, less subjective sleep loss, more guilt, and more work/activity impairment (P < .05). Higher delayed memory (list recognition) performance was independently associated with having a rapid response (adjusted odds ratio = 2.22; 95% CI, 1.18-4.20). CONCLUSIONS AND RELEVANCE: Based on the observed trajectory patterns, patients who have late-life depression with high baseline depression severity are unlikely to respond after 12 weeks of treatment with venlafaxine XR. However, high baseline depression severity alone may be neither a necessary nor sufficient predictor of treatment nonresponse. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT00892047.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 26288246      PMCID: PMC4718144          DOI: 10.1001/jamapsychiatry.2015.1324

Source DB:  PubMed          Journal:  JAMA Psychiatry        ISSN: 2168-622X            Impact factor:   21.596


  32 in total

Review 1.  Evidence-based pharmacologic interventions for geriatric depression.

Authors:  Bindu Shanmugham; Jordan Karp; Rebecca Drayer; Charles F Reynolds; George Alexopoulos
Journal:  Psychiatr Clin North Am       Date:  2005-12

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

Authors:  Ariel G Gildengers; Patricia R Houck; Benoit H Mulsant; Mary Amanda Dew; Howard J Aizenstein; Bobby L Jones; Joel Greenhouse; Bruce G Pollock; Charles F Reynolds
Journal:  J Clin Psychopharmacol       Date:  2005-08       Impact factor: 3.153

3.  The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS): preliminary clinical validity.

Authors:  C Randolph; M C Tierney; E Mohr; T N Chase
Journal:  J Clin Exp Neuropsychol       Date:  1998-06       Impact factor: 2.475

4.  Temporal profiles of the course of depression during treatment. Predictors of pathways toward recovery in the elderly.

Authors:  M A Dew; C F Reynolds; P R Houck; M Hall; D J Buysse; E Frank; D J Kupfer
Journal:  Arch Gen Psychiatry       Date:  1997-11

5.  Executive dysfunction, heart disease burden, and remission of geriatric depression.

Authors:  George S Alexopoulos; Dimitris N Kiosses; Christopher Murphy; Moonseong Heo
Journal:  Neuropsychopharmacology       Date:  2004-12       Impact factor: 7.853

6.  Prefrontal neuropsychological predictors of treatment remission in late-life depression.

Authors:  Guy G Potter; Joshua D Kittinger; H Ryan Wagner; David C Steffens; K Ranga Rama Krishnan
Journal:  Neuropsychopharmacology       Date:  2004-12       Impact factor: 7.853

7.  Antidepressant response trajectories and quantitative electroencephalography (QEEG) biomarkers in major depressive disorder.

Authors:  Aimee M Hunter; Bengt O Muthén; Ian A Cook; Andrew F Leuchter
Journal:  J Psychiatr Res       Date:  2009-07-24       Impact factor: 4.791

8.  Maintenance treatment of major depression in old age.

Authors:  Charles F Reynolds; Mary Amanda Dew; Bruce G Pollock; Benoit H Mulsant; Ellen Frank; Mark D Miller; Patricia R Houck; Sati Mazumdar; Meryl A Butters; Jacqueline A Stack; Mary Ann Schlernitzauer; Ellen M Whyte; Ariel Gildengers; Jordan Karp; Eric Lenze; Katalin Szanto; Salem Bensasi; David J Kupfer
Journal:  N Engl J Med       Date:  2006-03-16       Impact factor: 91.245

9.  Outcomes and predictors of late-life depression trajectories in older primary care patients.

Authors:  Xingjia Cui; Jeffrey M Lyness; Wan Tang; Xin Tu; Yeates Conwell
Journal:  Am J Geriatr Psychiatry       Date:  2008-05       Impact factor: 4.105

Review 10.  Polypharmacy in elderly patients.

Authors:  Emily R Hajjar; Angela C Cafiero; Joseph T Hanlon
Journal:  Am J Geriatr Pharmacother       Date:  2007-12
View more
  21 in total

1.  Combining moderators to identify clinical profiles of patients who will, and will not, benefit from aripiprazole augmentation for treatment resistant late-life major depressive disorder.

Authors:  Stephen F Smagula; Meredith L Wallace; Stewart J Anderson; Jordan F Karp; Eric J Lenze; Benoit H Mulsant; Meryl A Butters; Daniel M Blumberger; Breno S Diniz; Francis E Lotrich; Mary Amanda Dew; Charles F Reynolds
Journal:  J Psychiatr Res       Date:  2016-07-07       Impact factor: 4.791

Review 2.  Advances in Pharmacotherapy of Late-Life Depression.

Authors:  John L Beyer; Kim G Johnson
Journal:  Curr Psychiatry Rep       Date:  2018-04-07       Impact factor: 5.285

3.  Neuroticism Traits Selectively Impact Long Term Illness Course and Cognitive Decline in Late-Life Depression.

Authors:  Kevin J Manning; Grace Chan; David C Steffens
Journal:  Am J Geriatr Psychiatry       Date:  2016-10-13       Impact factor: 4.105

4.  Treating insomnia in depression: Insomnia related factors predict long-term depression trajectories.

Authors:  Bei Bei; Lauren D Asarnow; Andrew Krystal; Jack D Edinger; Daniel J Buysse; Rachel Manber
Journal:  J Consult Clin Psychol       Date:  2018-03

5.  The role of late life depressive symptoms on the trajectories of insomnia symptoms during antidepressant treatment.

Authors:  Marie Anne Gebara; John Kasckow; Stephen F Smagula; Elizabeth A DiNapoli; Jordan F Karp; Eric J Lenze; Benoit H Mulsant; Charles F Reynolds
Journal:  J Psychiatr Res       Date:  2017-10-18       Impact factor: 4.791

6.  Adherence to Depression Treatment in Primary Care: A Randomized Clinical Trial.

Authors:  Jo Anne Sirey; Samprit Banerjee; Patricia Marino; Martha L Bruce; Ashley Halkett; Molly Turnwald; Claire Chiang; Brian Liles; Amanda Artis; Fred Blow; Helen C Kales
Journal:  JAMA Psychiatry       Date:  2017-11-01       Impact factor: 21.596

7.  Specific depressive symptoms predict remission to aripiprazole augmentation in late-life treatment resistant depression.

Authors:  Marie Anne Gebara; Elizabeth A DiNapoli; John Kasckow; Jordan F Karp; Daniel M Blumberger; Eric J Lenze; Benoit H Mulsant; Charles F Reynolds
Journal:  Int J Geriatr Psychiatry       Date:  2017-10-03       Impact factor: 3.485

8.  Patient Response Trajectories in Major Depressive Disorder.

Authors:  Klaus G Larsen; Sidney H Kennedy; Elin Heldbo Reines; Michael E Thase
Journal:  Psychopharmacol Bull       Date:  2020-09-14

9.  Distinct trajectories of response to prefrontal tDCS in major depression: results from a 3-arm randomized controlled trial.

Authors:  Stephan A Goerigk; Frank Padberg; Markus Bühner; Nina Sarubin; Tyler S Kaster; Zafiris J Daskalakis; Daniel M Blumberger; Lucas Borrione; Lais B Razza; Andre R Brunoni
Journal:  Neuropsychopharmacology       Date:  2020-12-21       Impact factor: 7.853

10.  Transcranial Magnetic Stimulation Indices of Cortical Excitability Enhance the Prediction of Response to Pharmacotherapy in Late-Life Depression.

Authors:  Jennifer I Lissemore; Benoit H Mulsant; Anthony J Bonner; Meryl A Butters; Robert Chen; Jonathan Downar; Jordan F Karp; Eric J Lenze; Tarek K Rajji; Charles F Reynolds; Reza Zomorrodi; Zafiris J Daskalakis; Daniel M Blumberger
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2021-07-23
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.