Antidepressant Response Trajectories and Associated Clinical Prognostic Factors Among Older Adults

被引:47
作者
Smagula, Stephen F. [1 ,2 ]
Butters, Meryl A. [1 ]
Anderson, Stewart J. [3 ]
Lenze, Eric J. [4 ]
Dew, Mary Amanda [1 ,2 ,3 ,5 ,6 ]
Mulsant, Benoit H. [7 ,8 ]
Lotrich, Francis E. [1 ]
Aizenstein, Howard [1 ]
Reynolds, Charles F., III [1 ,9 ]
机构
[1] Univ Pittsburgh, Western Psychiat Inst & Clin, Med Ctr, Dept Psychiat, Pittsburgh, PA 15217 USA
[2] Univ Pittsburgh, Grad Sch Publ Hlth, Dept Epidemiol, Pittsburgh, PA USA
[3] Univ Pittsburgh, Grad Sch Publ Hlth, Dept Biostat, Pittsburgh, PA 15261 USA
[4] Washington Univ, Sch Med, Dept Psychiat, St Louis, MO 63110 USA
[5] Univ Pittsburgh, Dept Psychol, Pittsburgh, PA 15260 USA
[6] Univ Pittsburgh, Clin & Translat Sci Inst, Pittsburgh, PA USA
[7] Univ Toronto, Ctr Addict & Mental Hlth, Toronto, ON, Canada
[8] Univ Toronto, Dept Psychiat, Toronto, ON, Canada
[9] Univ Pittsburgh, Grad Sch Publ Hlth, Dept Behav & Community Hlth Sci, Pittsburgh, PA USA
关键词
LATE-LIFE DEPRESSION; GERIATRIC DEPRESSION; MAJOR DEPRESSION; EXECUTIVE DYSFUNCTION; MAINTENANCE TREATMENT; ELDERLY-PATIENTS; RATING-SCALE; REMISSION; PREDICTORS; REANALYSIS;
D O I
10.1001/jamapsychiatry.2015.1324
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
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 300mg/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.
引用
收藏
页码:1021 / 1028
页数:8
相关论文
共 40 条
  • [1] Agency for Healthcare Research and Quality, 2005, HOUS COMP MED EXP PA
  • [2] Executive dysfunction, heart disease burden, and remission of geriatric depression
    Alexopoulos, GS
    Kiosses, DN
    Murphy, C
    Heo, M
    [J]. NEUROPSYCHOPHARMACOLOGY, 2004, 29 (12) : 2278 - 2284
  • [3] [Anonymous], 1997, SF 36 HLTH SURVEY MA
  • [4] ASSESSMENT OF SUICIDAL INTENTION - SCALE FOR SUICIDE IDEATION
    BECK, AT
    KOVACS, M
    WEISSMAN, A
    [J]. JOURNAL OF CONSULTING AND CLINICAL PSYCHOLOGY, 1979, 47 (02) : 343 - 352
  • [5] The predictive power of subgroups: An empirical approach to identify depressive symptom patterns that predict response to treatment
    Buehler, Joel
    Seemueller, Florian
    Laege, Damian
    [J]. JOURNAL OF AFFECTIVE DISORDERS, 2014, 163 : 81 - 87
  • [6] Outcomes and predictors of late-life depression trajectories in older primary care patients
    Cui, Xingjia
    Lyness, Jeffrey M.
    Tang, Wan
    Tu, Xin
    Conwell, Yeates
    [J]. AMERICAN JOURNAL OF GERIATRIC PSYCHIATRY, 2008, 16 (05) : 406 - 415
  • [7] Delis D.C., 2001, DELIS KAPLAN EXECUTI
  • [8] THE BRIEF SYMPTOM INVENTORY - AN INTRODUCTORY REPORT
    DEROGATIS, LR
    MELISARATOS, N
    [J]. PSYCHOLOGICAL MEDICINE, 1983, 13 (03) : 595 - 605
  • [9] Dew MA, 1997, ARCH GEN PSYCHIAT, V54, P1016
  • [10] First M, 2002, STRUCTURED CLIN INTE