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Korean Medication Algorithm for Depressive Disorder 2025, Fifth Revision: An Executive Summary
Nak-Young Kim1, Jeong Seok Seo2, Won-Myong Bahk3,4
1Department of Psychiatry, Hanyang University Hospital, Seoul, Korea.
The Korean Medication Algorithm Project for Depressive Disorder (KMAP-DD) was updated, showing a trend towards more proactive treatment. Recent revisions indicate increased use of atypical antipsychotics and combination therapies for depression management.
Area of Science:
- Neuroscience
- Psychiatry
- Pharmacology
Background:
- The Korean Medication Algorithm Project for Depressive Disorder (KMAP-DD) has been revised five times since 2002.
- It is developed by the Korean College of Neuropsychopharmacology and the Korean Society for Affective Disorders.
Purpose of the Study:
- To update treatment recommendations for depressive disorders.
- To maintain survey efficiency and reflect current clinical practices.
- To facilitate comparisons with previous KMAP-DD revisions.
Main Methods:
- The study retained the overall structure of the KMAP-DD questionnaire.
- Six sections covered pharmacological treatments, treatment-resistant depression, antidepressant selection, special populations, and non-pharmacological therapies.
- Treatment recommendations were statistically derived for first-, second-, and third-line options.
Main Results:
- Minor changes were observed compared to KMAP-DD 2021 due to limited new medications.
- A notable shift included increased preference for atypical antipsychotics (AAPs).
- There was a higher preference for combination strategies involving AAPs and mood stabilizers, indicating a more intensive treatment trend.
Conclusions:
- The KMAP-DD provides expert consensus-based recommendations for depressive disorder treatment.
- It serves as a clinical resource for pharmacological options and specific treatment strategies.
- The project supports integrating real-world practice with evidence-based medicine.
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