AI Article Synopsis
- The Korean Medication Algorithm Project for Depressive Disorder (KMAP-DD) is a guideline for treating depression that has undergone multiple revisions since its creation in 2002.
- The development process involved gathering expert opinions and refining guidelines based on clinical studies and discussions within a committee.
- The study found that while antidepressant monotherapy is generally preferred for mild depression, a combination of antidepressants and atypical antipsychotics is recommended for severe cases or those with psychotic features across various age groups.
Article Abstract
Background: The Korean Medication Algorithm Project for Depressive Disorder (KMAP-DD) is an expert consensus guideline for depressive disorder created in 2002, and since then, four revisions (2006, 2012, 2017, 2021) have been published. In this study, changes in the content of the KMAP-DD survey and recommendations for each period were examined.
Methods: The development process of the KMAP-DD was composed of two stages. First, opinions from experts with abundant clinical experience were gathered through surveys. Next, a final guideline was prepared through discussion within the working committee regarding the suitability of the results with reference to recent clinical studies or other guidelines.
Results: In mild depressive symptoms, antidepressant (AD) monotherapy was preferred, but when severe depression or when psychotic features were present, a combination of AD and atypical antipsychotics (AD + AAP) was preferred. AD monotherapy was preferred in most clinical subtypes. AD monotherapy was preferred for mild depressive symptoms, and AD + AAP was preferred for severe depression and depression with psychotic features in children, adolescents, and the elderly.
Conclusions: This study identified the changes in the KMAP-DD treatment strategies and drug preferences in each period over the past 20 years. This work is expected to aid clinicians in establishing effective treatment strategies.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9917906 | PMC |
| http://dx.doi.org/10.3390/jcm12031146 | DOI Listing |
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