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증상 중심의 항우울제 선택

Title
증상 중심의 항우울제 선택
Other Titles
Symptom-based selection of antidepressants
Author
박선철
Keywords
항우울제; 우울증; 정신병리학; 약물치료; 알고리듬; Antidepressive agents; Depression; Psychopathology; Drug therapy; Algorithms
Issue Date
2020-04
Publisher
Korean Medical Association
Citation
J Korean Med Assoc v. 63, no. 4, page. 216-226.
Abstract
Most evidence-based pharmacological guidelines recommend selective serotonin reuptake inhibitors, serotonin-norepinephrine 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.
URI
https://jkma.org/journal/view.php?doi=10.5124/jkma.2020.63.4.216https://repository.hanyang.ac.kr/handle/20.500.11754/165399
ISSN
1975-8456; 2093-5951
DOI
10.5124/jkma.2020.63.4.216
Appears in Collections:
COLLEGE OF MEDICINE[S](의과대학) > MEDICINE(의학과) > Articles
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