Personalized antidepressant treatment for patients with major depressive disorder

被引:0
|
作者
Chin, Tracy [1 ]
Huyghebaert, Trudy [2 ]
Svrcek, Clark [3 ]
Oluboka, Oloruntoba
机构
[1] Alberta Calgary, Prat Clin Pharm Serv Sante, Calgary, AB, Canada
[2] South Hlth Campus Calgary, Ctr Enseignement Med Familiale, Calgary, AB, Canada
[3] Univ Calgary, Dept Med Familiale, Med Famille, Calgary, AB, Canada
关键词
2016 CLINICAL GUIDELINES; PRIMARY-CARE; CANADIAN NETWORK; MANAGEMENT; HEALTH; ADULTS; MOOD;
D O I
10.46747/cfp.6811e301
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Objective To present a visual clinical decision support tool to help personalize first-line antidepressant pharmacotherapy for adults with major depressive disorder (DCD) in a Canadian setting. Information sources A literature search was conducted using Google Scholar, PubMed, the Cochrane Database of Systematic Reviews and Trip Pro using the MeSH headings in English depression, antidepressive agents, primary care, practice patterns, medication adherence and decision making, shared. Main message Major depressive disorder affects approximately 4.7% of Canadians each year and is frequently observed and diagnosed in primary care. Untreated depression is linked to a lower quality of life, an increased risk of suicide, as well as a deterioration in physical health when depression occurs simultaneously with other chronic health problems. In a network meta-analysis, antidepressant drugs (such as selective serotonin reuptake inhibitors, serotonin-norepinephrine reuptake inhibitors, bupropion, and vortioxetine) reduced symptoms of depression by 50% or more. depression versus placebo in the acute treatment of adults with moderate to severe DCD. Poor adherence to treatment and high rates of discontinuation limit successful treatment of DCD. Factors such as strong therapeutic alliances between patients and prescribers, collaborative care, patient education and sustained self-management have been shown to increase treatment adherence. The most recent CANMAT (Canadian Network for Mood and Anxiety Treatments) depression treatment guidelines, published in 2016, offer 15 different first-line antidepressant options for the treatment of DCD. Evidence-based decision aids are needed to personalize antidepressant treatment for patients diagnosed with DCD. Conclusion Recent studies of antidepressants have indicated that no antidepressant is superior to another in the treatment of patients with DCD. This suggests that it may be possible to improve treatment adherence and success by personalizing antidepressant treatment according to individual patient preferences. The Antidepressant Selection Tool was developed to help prescribers and adult patients engage in shared decision-making to choose a personalized and optimal first-line antidepressant for the treatment of acute DCD.
引用
收藏
页码:E301 / E309
页数:9
相关论文
共 50 条
  • [21] Valproate as an antidepressant in major depressive disorder
    Davis, LL
    Kabel, D
    Patel, D
    Choate, AD
    FoslienNash, C
    Gurguis, GNM
    Kramer, GL
    Petty, F
    PSYCHOPHARMACOLOGY BULLETIN, 1996, 32 (04) : 647 - 652
  • [22] Serum BDNF in OCD and major depressive disorder patients before and during antidepressant treatment
    Chiavetto, L. Bocchio
    Rosso, G.
    Zanardini, R.
    Chiarle, A.
    Bogetto, F.
    Gennarelli, M.
    Maina, G.
    EUROPEAN NEUROPSYCHOPHARMACOLOGY, 2010, 20 : S541 - S541
  • [23] Pets enhance antidepressant pharmacotherapy effects in patients with treatment resistant major depressive disorder
    Pereira, Jorge Mota
    Fonte, Daniela
    JOURNAL OF PSYCHIATRIC RESEARCH, 2018, 104 : 108 - 113
  • [24] Factors Impacting the Selection of Antidepressant Treatment in Patients With Major Depressive Disorder at Risk for Nonadherence
    Shelton, Charles
    CNS SPECTRUMS, 2009, 14 (12) : 15 - 19
  • [25] Antidepressant treatment resistance is associated with increased inflammatory markers in patients with major depressive disorder
    Haroon, Ebrahim
    Daguanno, Alexander W.
    Woolwine, Bobbi J.
    Goldsmith, David R.
    Baer, Wendy M.
    Wommack, Evanthia C.
    Felger, Jennifer C.
    Miller, Andrew H.
    PSYCHONEUROENDOCRINOLOGY, 2018, 95 : 43 - 49
  • [26] A Neural Network Model for Predicting Treatment Response of Antidepressant in Patients with Major Depressive Disorder
    Chang, Hui Hua
    Chen, Po See
    Giacomini, Kathleen M.
    BIOLOGICAL PSYCHIATRY, 2012, 71 (08) : 286S - 286S
  • [27] Continued Antidepressant Treatment and Suicide in Patients with Depressive Disorder
    Sondergard, Lars
    Lopez, Ana Garcia
    Andersen, Per Kragh
    Kessing, Lars Vedel
    ARCHIVES OF SUICIDE RESEARCH, 2007, 11 (02) : 163 - 175
  • [28] Neural Correlates of Antidepressant Treatment Response in Adolescents with Major Depressive Disorder
    Cullen, Kathryn R.
    Klimes-Dougan, Bonnie
    Dung Pham Vu
    Schreiner, Melinda Westlund
    Mueller, Bryon A.
    Eberly, Lynn E.
    Camchong, Jazmin
    Westervelt, Ana
    Lim, Kelvin O.
    JOURNAL OF CHILD AND ADOLESCENT PSYCHOPHARMACOLOGY, 2016, 26 (08) : 705 - 712
  • [29] Serotonin Transporter Gene Methylation and Antidepressant Treatment of Major Depressive Disorder
    Lisoway, Amanda
    Zai, Clement C.
    Tiwari, Arun K.
    Harripaul, Ricardo
    Freeman, Natalie
    Oh, Gabriel
    French, Leon
    Kaminsky, Zachary A.
    Kennedy, James
    BIOLOGICAL PSYCHIATRY, 2017, 81 (10) : S95 - S95
  • [30] Imaging the serotonin transporter during major depressive disorder and antidepressant treatment
    Meyer, Jeffrey H.
    JOURNAL OF PSYCHIATRY & NEUROSCIENCE, 2007, 32 (02): : 86 - 102