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1
The Development of the Korean Medication Algorithm for Major Depressive Disorder

MinSoo Lee,SeWon Lim,JiHyun Cha,SangKeun Chung,KwangSu Kim,Siegfried Kasper,the Executive Committee for the Korean Medication Algorithm Project for Major Depressive Disorder 대한신경정신의학회 2005 PSYCHIATRY INVESTIGATION Vol.2 No.2
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There are many differences in the biological characteristics, clinical situations, and medical insurance systems between ethnic groups or countries. Consequently, there is a need for a specific Korean algorithm for the treatment of major depressive disorder. Therefore, the Korean society of depressive and bipolar disorder decided to develop the Korean Medication Algorithm for Major Depressive Disorder (KMA-MDD). The Korean Medication Algorithm Project for Major Depressive Disorder (KMAP-MDD) was designed with the goal of developing: 1) ideal algorithm, 2) Korean algorithm, 3) medication algorithm, 4) evidence-based and formal consensus algorithm. After collecting and reviewing many articles and reports by the evidence-based rule, we constructed a survey questionnaire designed to obtain the formal consensus of Korean experts. By employing panels of experts to review the collected evidences and survey results thoroughly, we used evidence based algorithm development as a component of the formal consensus development process. The KMA-MDD consists of two algorithms: one for major depressive disorder without psychotic features and the other for major depressive disorder with psychotic features. Clinical guidelines for the implementation of KMA-MDD were also developed. The KMA-MDD provides specific treatment strategies for each stage. The KMA-MDD is the first Korean algorithm for the treatment of major depressive disorder. It is based on evidence supporting the efficacy of each treatment modality and has obtained the consensus of Korean experts. We hope that the KMAMDD will be a good practical tool for clinicians who treat major depressive disorder in Korea.
2
Dimensions of Delusions in Major Depression: Socio-demographic and Clinical Correlates in an Unipolar-Bipolar Sample

Leonardo Zaninotto,Daniel Souery,Raffaella Calati,Giovanni Camardese,Luigi Janiri,Stuart Montgomery,Siegfried Kasper,Joseph Zohar,Diana De Ronchi,Julien Mendlewicz,Alessandro Serretti 대한정신약물학회 2015 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.13 No.1
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Objective: The present study aims at exploring associations between a continuous measure of distorted thought contents and a set of demographic and clinical features in a sample of unipolar/bipolar depressed patients. Methods: Our sample included 1,833 depressed subjects. Severity of mood symptoms was assessed by the 21 items Hamilton Depression Rating Scale (HAM-D). The continuous outcome measure was represented by a delusion (DEL) factor, extracted from HAM-D items and including items: 2 (“Feelings of guilt”), 15 (“Hypochondriasis”), and 20 (“Paranoid symptoms”). Each socio-demographic and clinical variable was tested by a generalized linear model test, having depressive severity (HAM-D score−DEL score) as the covariate. Results: A family history of major depressive disorder (MDD; p=0.0006), a diagnosis of bipolar disorder, type I ( p=0.0003), a comorbid general anxiety disorder (p<0.0001), and a higher number of manic episodes during lifetime (p<0.0001), were all associated to higher DEL scores. Conversely, an older age at onset (p<0.0001) and a longer duration of hospitalization for depression over lifetime (p=0.0003) had a negative impact over DEL scores. On secondary analyses, only the presence of psychotic features (p<0.0001) and depressive severity (p<0.0001) were found to be independently associated to higher DEL scores. Conclusion: The retrospective design and a non validated continuous measure for distorted thought contents were the main limitations of our study. Excluding the presence of psychotic features and depressive severity, no socio-demographic or clinical variable was found to be associated to our continuous measure of distorted thinking in depression.