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Korean Medication Algorithm for Bipolar Disorder 2018 : Mixed Features / 우울ㆍ조울병
Mood and Emotion ; (2): 69-76, 2018.
Article en Ko | WPRIM | ID: wpr-786882
Biblioteca responsable: WPRO
ABSTRACT
OBJECTIVES: The Korean Medication Algorithm for Bipolar Disorder 2018 (KMAP-BP 2018) has been revised again as a result of a consensus of opinions among experts. The mixed episode was changed to mixed features in DSM-5. In this study, we will describe the preference and recommendation of KMAP-BP 2018 for the treatment of mood episodes with mixed features.METHODS: Out of 84 members of the review committee, 61 completed the survey. We analyzed the answers, discussed the data, and held a clinician hearing.RESULTS: The preferred first-step strategies for mixed features with more manic symptoms were a combination of mood stabilizers (MS), atypical antipsychotics (AAP), and AAP monotherapy. For mixed features with more depressive symptoms, a combination of MS and lamotrigine (LTG), a combination of MS and AAP, and a combination of AAP and LTG were preferred. For mixed features with manic and depressive symptoms, a combination of MS and AAP, and AAP monotherapy were preferred.CONCLUSION: For mixed features, a combination of MS and AAP was generally preferred, and lamotrigine was preferred for depressive symptoms. We hope this KMAP-BP 2018 to be helpful for clinicians that treat patients with bipolar disorder in Korea.
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Texto completo: 1 Índice: WPRIM Asunto principal: Antipsicóticos / Trastorno Bipolar / Comités Consultivos / Consenso / Depresión / Esperanza / Audición / Corea (Geográfico) Tipo de estudio: Guideline / Prognostic_studies Límite: Humans País/Región como asunto: Asia Idioma: Ko Revista: Mood and Emotion Año: 2018 Tipo del documento: Article
Texto completo: 1 Índice: WPRIM Asunto principal: Antipsicóticos / Trastorno Bipolar / Comités Consultivos / Consenso / Depresión / Esperanza / Audición / Corea (Geográfico) Tipo de estudio: Guideline / Prognostic_studies Límite: Humans País/Región como asunto: Asia Idioma: Ko Revista: Mood and Emotion Año: 2018 Tipo del documento: Article