Symptom-based selection of antidepressants

被引:1
|
作者
Park, Seon-Cheol [1 ]
机构
[1] Inje Univ, Dept Psychiat, Haeundae Paik Hosp, Busan, South Korea
来源
基金
新加坡国家研究基金会;
关键词
Antidepressive agents; Depression; Psychopathology; Drug therapy; Algorithms; DEPRESSIVE-DISORDERS; NOMENCLATURE NBN; NEUROSCIENCE; CLASSIFICATION; CENTRALITY; OUTCOMES; ISSUES; DSM;
D O I
10.5124/jkma.2020.63.4.216
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Most evidence-based pharmacological guidelines recommend selective serotonin reuptake inhibitors, serotoninnorepinephrine reuptake inhibitors, norepinephrine-dopamine reuptake inhibitors or norepinephrine and specific serotonin antidepressants as the first-line treatment for major depression. Since the clinical factors associated with treating patients with depression are relatively complex, it can be challenging to apply the recommendations of evidence-based medicine verbatim. Furthermore, the diagnostic criteria of major depressive disorders, which are defined in a polythetic and operational manner, inevitably result in their heterogeneity. Studies have inferred that depressive syndrome may be connected with "family resemblance" rather than being shared with a neurobiological essence. Therefore, the symptom-based selection of antidepressants can be supported by a network analysis that provides a novel perspective on the symptom structure of major depression. The symptom-based treatment algorithm suggests treatment options that can be applied to the symptoms that are included in and excluded from the diagnosis criteria of major depressive disorder. The symptom-based selection of antidepressants and other psychotropic agents involves matching the deconstructed symptoms of depression to the specific neuroanatomical regions and neurotransmitters. This ensures timely and optimized treatment options for patients with depression.
引用
收藏
页码:216 / 226
页数:11
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