A Validation of the Korean Version of Ultra-Short Suicidal Ideation Scale / 신경정신의학

Objectives@#An accurate and easy-to-identify form is needed for the early evaluation of suicidal ideation in high-risk patients. Therefore, this study examined the validity and reliability of a Korean version of the Ultra-Short Suicidal Ideation Scale (K-USSIS). @*Methods@#A total of 161 psychiatric university-affiliated general hospital patients completed the K-USSIS. The data were analyzed using correlation, internal consistency, and confirmatory factor analyses. @*Results@#First, the scale had good internal consistency with a Cronbach’s α of 0.94. Second, the confirmatory factor analysis demonstrated that the single-factor model had a reasonable fit (comparative fit index=0.99, Tucker–Lewis index=0.98, standardized root mean squared residual=0.01, and root mean square error of approximation=0.10). Finally, the convergent validity analysis revealed a significant positive correlation with depression, anxiety, and hopelessness. @*Conclusion@#The findings suggest that the K-USSIS has good psychometric properties and can serve as a valuable tool for screening for suicidal ideation to ensure early intervention in Korean psychiatric patients.

The Moderating Effect of Reasons for Living on the Relationship Between Depression and Suicidal Ideation Among Psychiatric Patients / 정신신체의학

Objectives@#：This study aimed to examine the moderating effects of reasons for living on the relationship between depression and suicidal ideation among psychiatric patients. @*Methods@#：Patients were recruited from the department of psychiatry of university hospital. A total of 137 participants completed self-report questionnaires assessing depression (Beck Depression Inventory), suicidal ideation (Ultra-Short Suicidal Ideation Scale) and reasons for living (The Reasons for Living Inventory). @*Results@#：Among 4 sub-scales of the reasons for living inventory, survival and coping beliefs, fear of death and social disapproval, and future expectation moderated the relationship between depression and suicidal ideation. @*Conclusions@#：The results suggest that the reasons for living can work as a protective factor on the relationship between depression and suicidal ideation among psychiatric patients.

Network Analysis of Central Symptoms of Depression in Elderly Cognitive Disorder Patients / 신경정신의학

Objectives@#This study aimed to identify central symptoms of depression in elderly cognitive disorder patients through network analysis. @*Methods@#A total of 222 participants, 61 male and 104 female suffering from a cognitive disorder, participated in the dementia screening test and were given Mini-Mental Status Examination in the Korean Version of the CERAD Assessment Packet or Mini-Mental Status Examination for Dementia Screening and Korean Form of Geriatric Depression Scale (GDS-K) at a public health center in Gyeonggi-do, Korea. This study used network analysis to identify the centrality in the symptom network of depression among elderly cognitive disorder patients. @*Results@#Among 30 nodes included in our network analysis, 435 edges were available, and 50 edges had a meaningful relationship. According to the centrality results of the study, we found that GDS-K item 16, “Do you feel depressed and discouraged?” item 3, “Do you feel like you’re living in vain?” and item 15, “Do you enjoy being alive?” were the key symptoms. Also, there was a difference in symptom correlations between cognitive disorder patients and normal participants. @*Conclusion@#The results suggest that depressive mood, discouragement, worthlessness and loss of pleasure should be the priority intervention goals in intervening in depressive symptoms of the elderly with cognitive disabilities.

Current Pharmacogenetics in Psychiatry

Pharmacogenetics is opening a new era of precision medicine in psychiatry. Drug-metabolizing enzymes are characterized by genetic polymorphisms, which render a large portion of variability in individual drug metabolism. Dose adjustment based on pharmacogenetics knowledge is a first step to translate pharmacogenetics into clinical practice. However, diverse factors including cost-effectiveness should be addressed to provide clinical recommendation. To address current challenges in pharmacogenetics testing in psychiatry, this review provides an update regarding genotyping (SNP analysis, array, and next-generation sequencing), genotype-phenotype correlations, and cost-effectiveness. The current updates on pharmacogenetics in psychiatry will provide guidance for both clinician and researchers to have a consensus in harmonizing efforts to advance the pharmacogenetics field in a part of precision medicine in psychiatry.

Current Pharmacogenetics in Psychiatry

Pharmacogenetics is opening a new era of precision medicine in psychiatry. Drug-metabolizing enzymes are characterized by genetic polymorphisms, which render a large portion of variability in individual drug metabolism. Dose adjustment based on pharmacogenetics knowledge is a first step to translate pharmacogenetics into clinical practice. However, diverse factors including cost-effectiveness should be addressed to provide clinical recommendation. To address current challenges in pharmacogenetics testing in psychiatry, this review provides an update regarding genotyping (SNP analysis, array, and next-generation sequencing), genotype-phenotype correlations, and cost-effectiveness. The current updates on pharmacogenetics in psychiatry will provide guidance for both clinician and researchers to have a consensus in harmonizing efforts to advance the pharmacogenetics field in a part of precision medicine in psychiatry.

Clinical Characteristics of Formal Thought Disorder in Schizophrenia

Objectives@#Our study aimed to present the distinctive correlates of formal thought disorder in patients with schizophrenia, using the Clinical Language Disorder Rating Scale (CLANG). @*Methods@#We compared clinical characteristics between schizophrenia patients with (n = 84) and without (n = 82) formal thought disorder. Psychometric scales including the CLANG, the Brief Psychiatric Rating Scale (BPRS), the Young Mania Rating Scale (YMRS), the Calgery Depression Scale for Schizophrenia (CDSS) and the Word Fluency Test (WFT) were used. @*Results@#After adjusting the effects of age, sex and total scores on the BPRS, YMRS and WFT, the subjects with disorganized speech presented significantly higher score on the abnormal syntax (p = 0.009), lack of semantic association (p = 0.005), discourse failure (p < 0.0001), pragmatics disorder (p = 0.001), dysarthria (p < 0.0001), and paraphasic error (p = 0.005) items than those without formal thought disorder. With defining the mentioned item scores as covariates, binary logistic regression model predicted that discourse failure (adjusted odds ratio [aOR] = 5.88, p < 0.0001) and pragmatics disorder (aOR = 2.17, p = 0.04) were distinctive correlates of formal thought disorder in patients with schizophrenia. @*Conclusions@#This study conducted Clinician Rated Dimensions of Psychosis Symptom Severity (CRDPSS) and CLANG scales on 166 hospitalized schizophrenia patients to explore the sub-items of the CLANG scale independently related to formal thought disorders in schizophrenia patients. Discourse failure and pragmatics disorder might be used as the distinctive indexes for formal thought disorder in patients with schizophrenia.

Predicting Autism Spectrum Disorder Using Blood-based Gene Expression Signatures and Machine Learning

OBJECTIVE: The aim of this study was to identify a transcriptomic signature that could be used to classify subjects with autism spectrum disorder (ASD) compared to controls on the basis of blood gene expression profiles. The gene expression profiles could ultimately be used as diagnostic biomarkers for ASD. METHODS: We used the published microarray data (GSE26415) from the Gene Expression Omnibus database, which included 21 young adults with ASD and 21 age- and sex-matched unaffected controls. Nineteen differentially expressed probes were identified from a training dataset (n=26, 13 ASD cases and 13 controls) using the limma package in R language (adjusted p value <0.05) and were further analyzed in a test dataset (n=16, 8 ASD cases and 8 controls) using machine learning algorithms. RESULTS: Hierarchical cluster analysis showed that subjects with ASD were relatively well-discriminated from controls. Based on the support vector machine and K-nearest neighbors analysis, validation of 19-DE probes with a test dataset resulted in an overall class prediction accuracy of 93.8% as well as a sensitivity and specificity of 100% and 87.5%, respectively. CONCLUSION: The results of our exploratory study suggest that the gene expression profiles identified from the peripheral blood samples of young adults with ASD can be used to identify a biological signature for ASD. Further study using a larger cohort and more homogeneous datasets is required to improve the diagnostic accuracy.

The Relationship between Identity and Mental Health for Successful Aging in Old-Aged Women

OBJECTIVE: The aim of this study was to explain what the relationship is between identity and psychological well-being and how these are related to successful aging of old-aged women. METHODS: The subjects were thirty females above 60 years old in the first study where we interviewed each ten subjects for 2 hours in three groups. In the second study we surveyed 320 old-aged men and women by questionnaire for about 15 minutes. RESULTS: From focus-group interview we found the freedom from everything in life was perceived as an important change in old-aged women. But their identity was mainly derived from family relationship in aspects of economy and/or care of their grandson/-daughter. The results from analyses of questionnaire survey (n=320) were as follows ; first, women were more positive than men (female 63.1% versus male 56.5%) in the evaluation of their past life. Second, women were also more positive (female 23.7% versus male 15.2%) in the expectation for the future. Third, the successful aging had positive relationships with acceptance for aging, cohabitation with family members, income, female gender and age (65-69 years) ; and negative relationships with stress and loneliness/depression, but no relationships with decreased memory and poor sleep. CONCLUSION: We concluded that identity for the successful aging in old-aged women is mainly derived from family relationship.