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Korean Medication Algorithm for Depressive Disorder 2025, Fifth Revision: An Executive Summary

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Abstract
Objective: Since its development in 2002 by the Korean College of Neuropsychopharmacology and the Korean Society for Affective Disorders, the Korean Medication Algorithm Project for Depressive Disorder (KMAP-DD) has undergone five revisions.

Methods: To improve survey efficiency, reflect general clinical practice, and facilitate comparisons with previous KMAP-DD revisions, the overall structure of the questionnaire was retained. The six sections of the questionnaire were as follows: 1) pharmacological treatment strategies for major depressive disorder with and without psychotic features; 2) pharmacological treatment strategies for persistent depressive disorder and other depressive disorder subtypes; 3) consensus on treatment-resistant depression; 4) selection of an antidepressant in consideration of safety, adverse effects, and comorbid physical conditions; 5) treatment strategies for special populations (children/adolescents, elderly, and women); and 6) non-pharmacological biological therapies. First-, second-, and third-line treatment recommendations were statistically derived.

Results: Compared to KMAP-DD 2021, only minor changes were noted, due to the limited introduction of new medications or treatment modalities. Nonetheless, notable shifts included an increased preference for atypical antipsychotics (AAPs), and higher preference of combination strategies involving AAPs and mood stabilizers, indicating a more proactive and intensive treatment trend in Korea.

Conclusion: KMAP-DD is expected to serve as a valuable clinical resource by providing expert consensus-based recommendations on specific treatment strategies and pharmacological options for major depressive disorders, thereby supporting the integration of real-world clinical practice with evidence-based medicine.
All Author(s)
Nak-Young Kim ; Jeong Seok Seo ; Won-Myong Bahk ; Won-Seok Choi ; Sheng-Min Wang ; Young Sup Woo ; Won Kim ; Sung-Yong Park ; Jung Goo Lee ; Chan-Mo Yang ; Sang-Yeol Lee ; Hyung Mo Sung ; Young-Eun Jung ; Moon-Doo Kim ; Jong-Hyun Jeong ; Duk-In Jon ; Bo-Hyun Yoon ; Se-Hoon Shim ; Kyung Joon Min
Intsitutional Author(s)
심세훈
Issued Date
2025
Type
Article
Keyword
Algorithms; Depressive Disorder; Guideline; Pharmacotherapy; Treatment Guideline
Publisher
Korean College of Neuropsychopharmacology
ISSN
1738-1088 ; 2093-4327
Citation Title
Clinical psychopharmacology and neuroscience
Citation Volume
23
Citation Number
4
Citation Start Page
683
Citation End Page
706
Language(ISO)
eng
DOI
10.9758/cpn.25.1328
URI
http://schca-ir.schmc.ac.kr/handle/2022.oak/5048
Appears in Collections:
정신건강의학과 > 1. Journal Papers
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