1.Latent Classes based on Clinical Symptoms of Military Recruits with Mental Health Issues and Their Distinctive Clinical Responses to Treatment over 6 Months
Eun-Hee PARK ; Duk-In JON ; Hyun Ju HONG ; Myung Hun JUNG ; Narei HONG
Clinical Psychopharmacology and Neuroscience 2023;21(4):778-786
Objective:
This study aimed (1) to identify distinct subgroups of psychiatric patients referred for a mental health certificate for military service suitability and (2) to determine whether there is a difference in clinical features such as treatment responsiveness and prognosis among certain subgroups.
Methods:
We conducted latent profile analysis (LPA) using the Minnesota Multiphasic Personality Inventory-2 (MMPI-2) clinical profiles of the participants. Linear mixed model analysis was performed to examine changes in the severity of clinical symptoms and functional level according to the treatment period of the latent classes derived from the LPA.
Results:
The results indicated that the best-fitting model was a three-class model, comprising Class 1 (mild maladjustment), Class 2 (neurotic depression and anxiety), and Class 3 (highly vulnerable and hypervigilant). We demonstrated that the three subgroups displayed different characteristics in treatment responsiveness and clinical course based on their Clinical Global Impression-Severity and Global Assessment of Functioning scores over a treatment period of 6 months. While subjects in Classes 1 and 2 significantly improved over 6 months, those in Class 3 showed little or no improvement in our clinical parameters.
Conclusion
This study has yielded data with clinical implications for treatment planning and interventions for each subgroup classified that were based on MMPI-2 clinical profiles of military recruits who might be maladjusted to serve.
2.Psychometric Properties of the Korean Version of Functioning Assessment Short Test in Bipolar Disorder
Hangoeunbi KANG ; Bo-Hyun YOON ; Won-Myong BAHK ; Young Sup WOO ; Won KIM ; Jonghun LEE ; InKi SOHN ; Sung-Yong PARK ; Duk-In JON ; Myung Hun JUNG ; Moon-Doo KIM ; Young-Eun JUNG ; Hyung-Mo SUNG ; Young-Min PARK ; Jung Goo LEE ; Sang-Yeol LEE ; Seung-Ho JANG ; Eun-Sung LIM ; In Hee SHIM ; Kwanghun LEE ; Sae-Heon JANG
Clinical Psychopharmacology and Neuroscience 2023;21(1):188-196
Objective:
The Functioning Assessment Short Test (FAST) is a relatively specific test for bipolar disorders designed to assess the main functioning problems experienced by patients. This brief instrument includes 24 items assessing impairment or disability in 6 domains of functioning: autonomy, occupational functioning, cognitive functioning, financial issues, interpersonal relationships, and leisure time. It has already been translated into standardized versions in several languages. The aim of this study is to measure the validity and reliability of the Korean version of FAST (K-FAST).
Methods:
A total of 209 bipolar disorder patients were recruited from 14 centers in Korea. K-FAST, Young Mania Rating Scale (YMRS), Bipolar Depression Rating Scale (BDRS), Global Assessment of Functioning (GAF) and the World Health Organization Quality of Life Assessment Instrument Brief Form (WHOQOL-BREF) were administered, and psychometric analysis of the K-FAST was conducted.
Results:
The internal consistency (Cronbach’s alpha) of the K-FAST was 0.95. Test-retest reliability analysis showed a strong correlation between the two measures assessed at a 1-week interval (ICC = 0.97; p < 0.001). The K-FAST exhibited significant correlations with GAF (r = −0.771), WHOQOL-BREF (r = −0.326), YMRS (r = 0.509) and BDRS (r = 0.598). A strong negative correlation with GAF pointed to a reasonable degree of concurrent validity. Although the exploratory factor analysis showed four factors, the confirmatory factor analysis of questionnaires had a good fit for a six factors model (CFI = 0.925; TLI = 0.912; RMSEA = 0.078).
Conclusion
The K-FAST has good psychometric properties, good internal consistency, and can be applicable and acceptable to the Korean context.
3.Korean Medication Algorithm Project for Bipolar Disorder 2022:Comparisons with Other Treatment Guidelines
Jong-Hyun JEONG ; Won-Myong BAHK ; Young Sup WOO ; Bo-Hyun YOON ; Jung Goo LEE ; Won KIM ; InKi SOHN ; Sung-Yong PARK ; Se-Hoon SHIM ; Jeong Seok SEO ; IL Han CHOO ; Chan-Mo YANG ; Myung Hun JUNG ; Duk-In JON ; Moon-Doo KIM
Clinical Psychopharmacology and Neuroscience 2023;21(1):32-48
The objective of this study was to compare recommendations of the Korean Medication Algorithm Project for Bipolar Disorder 2022 (KMAP-BP 2022) with other recently published guidelines for treating bipolar disorder. We reviewed a total of six recently published global treatment guidelines and compared treatment recommendation of the KMAP-BP 2022 with those of other guidelines. For initial treatment of mania, there were no significant differences across treatment guidelines. All guidelines recommended mood stabilizer (MS) or atypical antipsychotic (AAP) monotherapy or a combination of an MS with an AAP as a first-line treatment strategy in a same degree for mania. However, the KMAP-BP 2022 recommended MS + AAP combination therapy for psychotic mania, mixed mania and psychotic depression as treatment of choice. Aripiprazole, quetiapine and olanzapine were the first-line AAPs for nearly all phases of bipolar disorder across guidelines. Some guideline suggested olanzapine is a second-line options during maintenance treatment, related to concern about long-term tolerability. Most guidelines advocated newer AAPs (asenapine, cariprazine, long-acting injectable risperidone, and aripiprazole once monthly) as first-line treatment options for all phases while lamotrigine was recommended for depressive and maintenance phases. Lithium and valproic acid were commonly used as MSs in all phases of bipolar disorder. KMAP-BP 2022 guidelines were similar to other guidelines, reflecting current changes in prescription patterns for bipolar disorder based on accumulated research data. Strong preference for combination therapy was characteristic of KMAP-BP 2022, predominantly in the treatment of psychotic mania, mixed mania and psychotic depression.
4.Development of a Guideline for Antipsychotic-induced Hyperprolactinemia in Korea Using the ADAPTE Process
Hye Ri KIM ; Sun Mi KIM ; Won Sub KANG ; Hong Jun JEON ; Seung-Ho JANG ; Duk-In JON ; Jeongwan HONG ; Jong-Hyun JEONG
Clinical Psychopharmacology and Neuroscience 2023;21(3):447-456
Objective:
To develop an evidence-based guideline for the diagnosis and treatment of antipsychotic-induced hyperprolactinemia by adapting existing high-quality clinical guidelines with a view to improve the clinical symptoms and long-term quality of life of patients by providing appropriate management.
Methods:
This guideline was developed according to the ADAPTE methodology. The adaptation process included determining key health questions, systematically searching and screening guidelines, evaluating the quality and contents of these guidelines, deriving recommendations for key questions, and performing a peer review. The selection criteria for the guideline search were (1) evidence-based guidelines, (2) published within the last 5 years, and (3) written in English or Korean.
Results:
After evaluating the quality and content, we finally selected three guidelines for adaptation. The final output of the development process was 25 recommendations for 10 key questions. We adopted the Agency for Health Research Quality methodology and presented the level of evidence from levels I to IV. In addition, we defined the recommendation grades from grade A (strongly recommended) to D (no recommendation) based on the level of evidence and clinical significance of the recommendation.
Conclusion
The development and dissemination of the adapted guideline is expected to increase the certainty of medical decision making and improve the quality of medical care. Further studies on the effectiveness and applicability of the developed guideline are necessary.
5.Prevalence and Comorbidities of Attention Deficit Hyperactivity Disorder Among Adults and Children/Adolescents in Korea
Jeong-Cheol SEO ; Duk-In JON ; Se-Hoon SHIM ; Hyung-Mo SUNG ; Young Sup WOO ; Jeongwan HONG ; Sung‐Yong PARK ; Jeong Seok SEO ; Won-Myong BAHK
Clinical Psychopharmacology and Neuroscience 2022;20(1):126-134
Objective:
This study investigated the prevalence and comorbidities of attention deficit hyperactivity disorder (ADHD) among adults and children/adolescents in Korea.
Methods:
This study used data from the Korea Health Insurance Review and Assessment Service collected from 2008 to 2018. Study participants comprised patients with at least one diagnosis of ADHD (International Statistical Classification of Diseases and Related Health Provisions, 10th revision code F90.0). Prevalence rates and psychiatric comorbidities were also analyzed.
Results:
We identified 878,996 patients diagnosed with ADHD between 2008 and 2018. The overall prevalence rate of diagnosed ADHD increased steeply from 127.1/100,000 in 2008 to 192.9/100,000 in 2018; it increased 1.47 times in children/adolescents (≤ 18 years) and 10.1 times in adults (> 18 years) during this period. Among adult and children/adolescent ADHD patients, 61.84% (95% confidence interval [95% CI] 61.74−61.93) and 78.72% (95% CI 78.53− 78.91) had at least one psychiatric comorbidity, respectively.
Conclusion
Our results showed that the prevalence rate of diagnosed ADHD has increased in Korea; however, it is lower than the global average. Further studies are required to identify and treat vulnerable populations appropriately.
6.The Korean Medication Algorithm Project for Depressive Disorder 2021: Comparisons with Other Treatment Guidelines
Young Sup WOO ; Won-Myong BAHK ; Jeong Seok SEO ; Young-Min PARK ; Won KIM ; Jong-Hyun JEONG ; Se-Hoon SHIM ; Jung Goo LEE ; Seung-Ho JANG ; Chan-Mo YANG ; Sheng-Min WANG ; Myung Hun JUNG ; Hyung Mo SUNG ; Il Han CHOO ; Bo-Hyun YOON ; Sang-Yeol LEE ; Duk-In JON ; Kyung Joon MIN
Clinical Psychopharmacology and Neuroscience 2022;20(1):37-50
The Korean Medication Algorithm Project for Depressive Disorder (KMAP-DD) first was published in 2002, and has been revised four times, in 2006, 2012, 2017, and 2021. In this review, we compared recommendations from the recently revised KMAP-DD 2021 to four global clinical practice guidelines (CPGs) for depression published after 2010. The recommendations from the KMAP-DD 2021 were similar to those from other CPGs, although there were some differences. The KMAP-DD 2021 reflected social culture and the healthcare system in Korea and recent evidence about pharmacotherapy for depression, as did other recently published evidence-based guidelines. Despite some intrinsic limitations as an expert consensus-based guideline, the KMAP-DD 2021 can be helpful for Korean psychiatrists making decisions in clinical settings by complementing previously published evidence-based guidelines, especially for some clinical situations lacking evidence from rigorously designed clinical trials.
7.Corrigendum: Prevalence and Comorbidities of Attention Deficit Hyperactivity Disorder Among Adults and Children/Adolescents in Korea
Jeong-Cheol SEO ; Duk-In JON ; Se-Hoon SHIM ; Hyung-Mo SUNG ; Young Sup WOO ; Jeongwan HONG ; Sung‐Yong PARK ; Jeong Seok SEO ; Won-Myong BAHK
Clinical Psychopharmacology and Neuroscience 2022;20(2):402-
8.Global Impact of the COVID-19 Pandemic on Cerebral Venous Thrombosis and Mortality
Thanh N. NGUYEN ; Muhammad M. QURESHI ; Piers KLEIN ; Hiroshi YAMAGAMI ; Mohamad ABDALKADER ; Robert MIKULIK ; Anvitha SATHYA ; Ossama Yassin MANSOUR ; Anna CZLONKOWSKA ; Hannah LO ; Thalia S. FIELD ; Andreas CHARIDIMOU ; Soma BANERJEE ; Shadi YAGHI ; James E. SIEGLER ; Petra SEDOVA ; Joseph KWAN ; Diana Aguiar DE SOUSA ; Jelle DEMEESTERE ; Violiza INOA ; Setareh Salehi OMRAN ; Liqun ZHANG ; Patrik MICHEL ; Davide STRAMBO ; João Pedro MARTO ; Raul G. NOGUEIRA ; ; Espen Saxhaug KRISTOFFERSEN ; Georgios TSIVGOULIS ; Virginia Pujol LEREIS ; Alice MA ; Christian ENZINGER ; Thomas GATTRINGER ; Aminur RAHMAN ; Thomas BONNET ; Noémie LIGOT ; Sylvie DE RAEDT ; Robin LEMMENS ; Peter VANACKER ; Fenne VANDERVORST ; Adriana Bastos CONFORTO ; Raquel C.T. HIDALGO ; Daissy Liliana MORA CUERVO ; Luciana DE OLIVEIRA NEVES ; Isabelle LAMEIRINHAS DA SILVA ; Rodrigo Targa MARTÍNS ; Letícia C. REBELLO ; Igor Bessa SANTIAGO ; Teodora SADELAROVA ; Rosen KALPACHKI ; Filip ALEXIEV ; Elena Adela CORA ; Michael E. KELLY ; Lissa PEELING ; Aleksandra PIKULA ; Hui-Sheng CHEN ; Yimin CHEN ; Shuiquan YANG ; Marina ROJE BEDEKOVIC ; Martin ČABAL ; Dusan TENORA ; Petr FIBRICH ; Pavel DUŠEK ; Helena HLAVÁČOVÁ ; Emanuela HRABANOVSKA ; Lubomír JURÁK ; Jana KADLČÍKOVÁ ; Igor KARPOWICZ ; Lukáš KLEČKA ; Martin KOVÁŘ ; Jiří NEUMANN ; Hana PALOUŠKOVÁ ; Martin REISER ; Vladimir ROHAN ; Libor ŠIMŮNEK ; Ondreij SKODA ; Miroslav ŠKORŇA ; Martin ŠRÁMEK ; Nicolas DRENCK ; Khalid SOBH ; Emilie LESAINE ; Candice SABBEN ; Peggy REINER ; Francois ROUANET ; Daniel STRBIAN ; Stefan BOSKAMP ; Joshua MBROH ; Simon NAGEL ; Michael ROSENKRANZ ; Sven POLI ; Götz THOMALLA ; Theodoros KARAPANAYIOTIDES ; Ioanna KOUTROULOU ; Odysseas KARGIOTIS ; Lina PALAIODIMOU ; José Dominguo BARRIENTOS GUERRA ; Vikram HUDED ; Shashank NAGENDRA ; Chintan PRAJAPATI ; P.N. SYLAJA ; Achmad Firdaus SANI ; Abdoreza GHOREISHI ; Mehdi FARHOUDI ; Elyar SADEGHI HOKMABADI ; Mazyar HASHEMILAR ; Sergiu Ionut SABETAY ; Fadi RAHAL ; Maurizio ACAMPA ; Alessandro ADAMI ; Marco LONGONI ; Raffaele ORNELLO ; Leonardo RENIERI ; Michele ROMOLI ; Simona SACCO ; Andrea SALMAGGI ; Davide SANGALLI ; Andrea ZINI ; Kenichiro SAKAI ; Hiroki FUKUDA ; Kyohei FUJITA ; Hirotoshi IMAMURA ; Miyake KOSUKE ; Manabu SAKAGUCHI ; Kazutaka SONODA ; Yuji MATSUMARU ; Nobuyuki OHARA ; Seigo SHINDO ; Yohei TAKENOBU ; Takeshi YOSHIMOTO ; Kazunori TOYODA ; Takeshi UWATOKO ; Nobuyuki SAKAI ; Nobuaki YAMAMOTO ; Ryoo YAMAMOTO ; Yukako YAZAWA ; Yuri SUGIURA ; Jang-Hyun BAEK ; Si Baek LEE ; Kwon-Duk SEO ; Sung-Il SOHN ; Jin Soo LEE ; Anita Ante ARSOVSKA ; Chan Yong CHIEH ; Wan Asyraf WAN ZAIDI ; Wan Nur Nafisah WAN YAHYA ; Fernando GONGORA-RIVERA ; Manuel MARTINEZ-MARINO ; Adrian INFANTE-VALENZUELA ; Diederik DIPPEL ; Dianne H.K. VAN DAM-NOLEN ; Teddy Y. WU ; Martin PUNTER ; Tajudeen Temitayo ADEBAYO ; Abiodun H. BELLO ; Taofiki Ajao SUNMONU ; Kolawole Wasiu WAHAB ; Antje SUNDSETH ; Amal M. AL HASHMI ; Saima AHMAD ; Umair RASHID ; Liliana RODRIGUEZ-KADOTA ; Miguel Ángel VENCES ; Patrick Matic YALUNG ; Jon Stewart Hao DY ; Waldemar BROLA ; Aleksander DĘBIEC ; Malgorzata DOROBEK ; Michal Adam KARLINSKI ; Beata M. LABUZ-ROSZAK ; Anetta LASEK-BAL ; Halina SIENKIEWICZ-JAROSZ ; Jacek STASZEWSKI ; Piotr SOBOLEWSKI ; Marcin WIĄCEK ; Justyna ZIELINSKA-TUREK ; André Pinho ARAÚJO ; Mariana ROCHA ; Pedro CASTRO ; Patricia FERREIRA ; Ana Paiva NUNES ; Luísa FONSECA ; Teresa PINHO E MELO ; Miguel RODRIGUES ; M Luis SILVA ; Bogdan CIOPLEIAS ; Adela DIMITRIADE ; Cristian FALUP-PECURARIU ; May Adel HAMID ; Narayanaswamy VENKETASUBRAMANIAN ; Georgi KRASTEV ; Jozef HARING ; Oscar AYO-MARTIN ; Francisco HERNANDEZ-FERNANDEZ ; Jordi BLASCO ; Alejandro RODRÍGUEZ-VÁZQUEZ ; Antonio CRUZ-CULEBRAS ; Francisco MONICHE ; Joan MONTANER ; Soledad PEREZ-SANCHEZ ; María Jesús GARCÍA SÁNCHEZ ; Marta GUILLÁN RODRÍGUEZ ; Gianmarco BERNAVA ; Manuel BOLOGNESE ; Emmanuel CARRERA ; Anchalee CHUROJANA ; Ozlem AYKAC ; Atilla Özcan ÖZDEMIR ; Arsida BAJRAMI ; Songul SENADIM ; Syed I. HUSSAIN ; Seby JOHN ; Kailash KRISHNAN ; Robert LENTHALL ; Kaiz S. ASIF ; Kristine BELOW ; Jose BILLER ; Michael CHEN ; Alex CHEBL ; Marco COLASURDO ; Alexandra CZAP ; Adam H. DE HAVENON ; Sushrut DHARMADHIKARI ; Clifford J. ESKEY ; Mudassir FAROOQUI ; Steven K. FESKE ; Nitin GOYAL ; Kasey B. GRIMMETT ; Amy K. GUZIK ; Diogo C. HAUSSEN ; Majesta HOVINGH ; Dinesh JILLELA ; Peter T. KAN ; Rakesh KHATRI ; Naim N. KHOURY ; Nicole L. KILEY ; Murali K. KOLIKONDA ; Stephanie LARA ; Grace LI ; Italo LINFANTE ; Aaron I. LOOCHTAN ; Carlos D. LOPEZ ; Sarah LYCAN ; Shailesh S. MALE ; Fadi NAHAB ; Laith MAALI ; Hesham E. MASOUD ; Jiangyong MIN ; Santiago ORGETA-GUTIERREZ ; Ghada A. MOHAMED ; Mahmoud MOHAMMADEN ; Krishna NALLEBALLE ; Yazan RADAIDEH ; Pankajavalli RAMAKRISHNAN ; Bliss RAYO-TARANTO ; Diana M. ROJAS-SOTO ; Sean RULAND ; Alexis N. SIMPKINS ; Sunil A. SHETH ; Amy K. STAROSCIAK ; Nicholas E. TARLOV ; Robert A. TAYLOR ; Barbara VOETSCH ; Linda ZHANG ; Hai Quang DUONG ; Viet-Phuong DAO ; Huynh Vu LE ; Thong Nhu PHAM ; Mai Duy TON ; Anh Duc TRAN ; Osama O. ZAIDAT ; Paolo MACHI ; Elisabeth DIRREN ; Claudio RODRÍGUEZ FERNÁNDEZ ; Jorge ESCARTÍN LÓPEZ ; Jose Carlos FERNÁNDEZ FERRO ; Niloofar MOHAMMADZADEH ; Neil C. SURYADEVARA, MD ; Beatriz DE LA CRUZ FERNÁNDEZ ; Filipe BESSA ; Nina JANCAR ; Megan BRADY ; Dawn SCOZZARI
Journal of Stroke 2022;24(2):256-265
Background:
and Purpose Recent studies suggested an increased incidence of cerebral venous thrombosis (CVT) during the coronavirus disease 2019 (COVID-19) pandemic. We evaluated the volume of CVT hospitalization and in-hospital mortality during the 1st year of the COVID-19 pandemic compared to the preceding year.
Methods:
We conducted a cross-sectional retrospective study of 171 stroke centers from 49 countries. We recorded COVID-19 admission volumes, CVT hospitalization, and CVT in-hospital mortality from January 1, 2019, to May 31, 2021. CVT diagnoses were identified by International Classification of Disease-10 (ICD-10) codes or stroke databases. We additionally sought to compare the same metrics in the first 5 months of 2021 compared to the corresponding months in 2019 and 2020 (ClinicalTrials.gov Identifier: NCT04934020).
Results:
There were 2,313 CVT admissions across the 1-year pre-pandemic (2019) and pandemic year (2020); no differences in CVT volume or CVT mortality were observed. During the first 5 months of 2021, there was an increase in CVT volumes compared to 2019 (27.5%; 95% confidence interval [CI], 24.2 to 32.0; P<0.0001) and 2020 (41.4%; 95% CI, 37.0 to 46.0; P<0.0001). A COVID-19 diagnosis was present in 7.6% (132/1,738) of CVT hospitalizations. CVT was present in 0.04% (103/292,080) of COVID-19 hospitalizations. During the first pandemic year, CVT mortality was higher in patients who were COVID positive compared to COVID negative patients (8/53 [15.0%] vs. 41/910 [4.5%], P=0.004). There was an increase in CVT mortality during the first 5 months of pandemic years 2020 and 2021 compared to the first 5 months of the pre-pandemic year 2019 (2019 vs. 2020: 2.26% vs. 4.74%, P=0.05; 2019 vs. 2021: 2.26% vs. 4.99%, P=0.03). In the first 5 months of 2021, there were 26 cases of vaccine-induced immune thrombotic thrombocytopenia (VITT), resulting in six deaths.
Conclusions
During the 1st year of the COVID-19 pandemic, CVT hospitalization volume and CVT in-hospital mortality did not change compared to the prior year. COVID-19 diagnosis was associated with higher CVT in-hospital mortality. During the first 5 months of 2021, there was an increase in CVT hospitalization volume and increase in CVT-related mortality, partially attributable to VITT.
9.Korean Medication Algorithm Project for Bipolar Disorder 2022:Mixed Features
Won KIM ; Won-Myong BAHK ; Young Sup WOO ; Jong-Hyun JEONG ; Jeong Seok SEO ; IL Han CHOO ; Chan-Mo YANG ; Jung Goo LEE ; Se-Hoon SHIM ; Bo-Hyun YOON ; Sung-Yong PARK ; InKi SOHN ; Moon-Doo KIM ; Myung Hun JUNG ; Duk-In JON
Journal of Korean Neuropsychiatric Association 2022;61(2):133-142
Objectives:
Treatment guidelines or an algorithm can help clinicians implement better practices and clinical decisions. Therefore, the Korean Medication Algorithm Project for Bipolar Disorder 2022 (KMAP-BP 2022) was revised again through a consensus of expert opinion. The diagnosis and treatment of mixed features are not simple, and there are many things to discuss. We describe the preferences and recommendations from KMAP-BP 2022 for the treatment of mood episodes with mixed features.
Methods:
We revised the KMAP-BP 2018 questionnaire and conducted the survey with expert clinicians. Out of ninety-three members of the review committee, eighty-seven completed the survey. We analyzed the answers, discussed the data, and held a clinician hearing.
Results:
In first-step strategies for mixed features with more manic symptoms, a combination of a mood stabilizer and an atypical antipsychotic is the treatment of choice. Mood stabilizer monotherapy and atypical antipsychotic monotherapy are preferred strategies. For mixed features with more depressive symptoms, a combination of mood stabilizer and atypical antipsychotic, a combination of atypical antipsychotic and lamotrigine (LMT), atypical antipsychotic monotherapy, a combination of mood stabilizer and LMT, and mood stabilizer monotherapy are preferred. For mixed features with similar manic symptoms and depressive symptoms, a combination of mood stabilizer and atypical antipsychotic, atypical antipsychotic monotherapy, and mood stabilizer monotherapy are preferred.
Conclusion
For mixed features, a combination of mood stabilizer and atypical antipsychotic is generally preferred, and LMT is preferred for depressive symptoms. Compared with KMAP-BP 2018, more diverse strategies and drugs are being attempted for the treatment of mixed features.
10.Korean Medication Algorithm Project for Bipolar Disorder 2022:Depressive Episode
Jeong Seok SEO ; Young Sup WOO ; Won-Myong BAHK ; Jong-Hyun JEONG ; Bo-Hyun YOON ; IL Han CHOO ; Chan-Mo YANG ; Won KIM ; Jung Goo LEE ; Se-Hoon SHIM ; Myung Hun JUNG ; Duk-In JON ; Sung-Yong PARK ; InKi SOHN ; Moon-Doo KIM
Journal of Korean Neuropsychiatric Association 2022;61(2):123-132
Objectives:
After the Korean Medication Algorithm Project for Bipolar Disorder (KMAP-BP) was developed in 2002, its fifth revision was completed in 2022 to reflect the recent rapid developments and research into bipolar disorder and its psychopharmacology.
Methods:
According to the methodology for previous versions, the depressive episode section of KMAP-BP 2022 was revised based on a survey consisting of 11 questions. Among ninetythree experts, eighty-seven members of the review committee (93.5%) completed the survey.The executive committee analyzed the results and discussed the final production of an algorithm by considering the scientific evidence.
Results:
Overall, the results from this study showed little change in comparison with previous versions of KMAP-BP. However, there have been significant changes in recommendations over the span of about 20 years. The preferences for lamotrigine and atypical antipsychotics, especially aripiprazole, quetiapine, and olanzapine, have shown a tendency to continuously increase, but the preferences for risperidone and ziprasidone have not increased, but have decreased. Moreover, the preference for typical antipsychotics has significantly decreased. Additionally, concerns over the use of antidepressants in bipolar depression have been raised, and their use is not recommended in KMAP-BP 2022 as a first-line treatment.
Conclusion
Pharmacotherapy for acute depressive episodes with various clinical progressions and various subtypes still shows diversity, compared to pharmacotherapy for mania. We look forward to the development of bipolar depressive, episode-specific therapeutic drugs in the future, and hope the fifth update of KMAP-BP will be a complementary option for clinicians and their patients with bipolar disorder.

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