Seon-Cheol Park

Reliability and Validity of the Korean Version of the Childhood Trauma Questionnaire-Short Form for Psychiatric Outpatients

Objective The Childhood Trauma Questionnaire (CTQ) is perhaps the most widely used and well-studied retrospective measure of childhood abuse or neglect. This study tested the initial reliability and validity of a Korean translation of the Childhood Trauma Questionnaire (CTQ-K) among non-psychotic psychiatric outpatients. Methods The CTQ-K was administered to a total of 163 non-psychotic psychiatric outpatients at a university-affiliated training hospital. Internal consistency, four-week test-retest reliability, and validity were calculated. A portion of the participants (n=65) also completed the Trauma Assessment Questionnaire (TAQ), the Impact of Events Scale-Revised, and the Dissociative Experiences Scale-Taxon. Results Four-week test-retest reliability was high (r=0.87) and internal consistency was good (Cronbachs α=0.88). Each type of childhood trauma was significantly correlated with the corresponding subscale of the TAQ, thus confirming its concurrent validity. In addition, the CTQ-K total score was positively related to post-traumatic symptoms and pathological dissociation, demonstrating the convergent validity of the scale. The CTQ-K was also negatively correlated with the competence and safety subscale of the TAQ, confirming discriminant validity. Additionally, we confirmed the factorial validity by identifying a five-factor structure that explained 64% of the total variance. Conclusion Our study indicates that the CTQ-K is a measure of psychometric soundness that can be used to assess childhood abuse or neglect in Korean patients. It also supports the cross-cultural equivalence of the scale.

Patterns of Antipsychotic Prescription to Patients with Schizophrenia in Korea: Results from the Health Insurance Review & Assessment Service-National Patient Sample

This study aimed to analyze the patterns of antipsychotic prescription to patients with schizophrenia in Korea. Using the Health Insurance Review & Assessment Service-National Patients Sample (HIRA-NPS), which was a stratified sampling from the entire population under the Korean national health security system (2009), descriptive statistics for the patterns of the monopharmacy and polypharmacy, neuropsychiatric co-medications, and prescribed individual antipsychotic for patients with schizophrenia were performed. Comparisons of socioeconomic and clinical factors were performed among patients prescribed only with first- and second-generation antipsychotics. Of 126,961 patients with schizophrenia (age 18-80 yr), 13,369 were prescribed with antipsychotic monopharmacy and the rest 113,592 with polypharmacy. Two or more antipsychotics were prescribed to 31.34% of the patients. Antiparkinson medications (66.60%), anxiolytics (65.42%), mood stabilizers (36.74%), and antidepressants (25.90%) were co-medicated. Patients who were prescribed only with first-generation antipsychotics (n=26,254) were characterized by significantly older age, greater proportion of male, higher proportion of medicaid, higher total medical cost, lower self-payment cost, and higher co-medication rates of antiparkinson agents and anxiolytics than those who were prescribed only with second-generation antipsychotics (n=67,361). In this study, it has been reported substantial prescription rates of first-generation antipsychotics and antipsychotic polypharmacy and relatively small prescription rate of clozapine to patients with schizophrenia. Since this study has firstly presented the patterns of antipsychotic prescription to schizophrenic patients in Korean national population, the findings of this study can be compared with those of later investigations about this theme. Graphical Abstract

Does Age at Onset of First Major Depressive Episode Indicate the Subtype of Major Depressive Disorder?: The Clinical Research Center for Depression Study

Purpose The purpose of this study was to evaluate the effects of age at onset of the first major depressive episode on the clinical features of individuals with major depressive disorder (MDD) in a large cohort of Korean depressed patients. Materials and Methods We recruited 419 MDD patients of age over 18 years from the Clinical Research Center for Depression study in South Korea. At the start of the study, the onset age of the first major depressive episode was self-reported by the subjects. The subjects were divided into four age-at-onset subgroups: childhood and adolescent onset (ages <18), early adult onset (ages 18-44), middle adult onset (ages 45-59), and late onset (ages 60+). Using analysis of covariance (ANCOVA) and ordinal logistic regression analysis with adjusting the effect of age, the relationships between clinical features and age at onset of MDD were evaluated. Results There was an apparent, but inconsistent correlation between clinical features and age at onset. Earlier onset MDD was significantly associated with higher proportion of female gender [adjusted odds ratio (AOR)=0.570, p=0.022], more previous suicide attempts (AOR=0.635, p=0.038), greater number of previous depressive episodes (F=3.475, p=0.016) and higher scores on the brief psychiatric rating scale (F=3.254, p=0.022), its negative symptom subscale (F=6.082, p<0.0001), and the alcohol use disorder identification test (F=7.061, p<0.0001). Conclusion Early age at onset may increase the likelihood of distinguishable MDD subtype, and age at onset of the first major depressive episode is a promising clinical indicator for the clinical presentation, course, and outcome of MDD.

Is the Psychotic Depression Assessment Scale a useful diagnostic tool?: The CRESCEND study

BACKGROUND The Psychotic Depression Assessment Scale (PDAS) has been validated as a method of assessing the severity and treatment outcomes of psychotic depression (PD). We aimed to compare the results of the PDAS in PD and non-psychotic depression (non-PD) patients and validate the PDAS as a diagnostic tool for PD. METHODS We included 53 patients with PD and 441 with non-PD who participated in the Clinical Research Center for Depression study in South Korea. In addition to the PDAS, psychometric tools including the HAMD17, HAMA, BPRS, CGI-S, SOFAS, SSI-Beck, WHOQOL-BREF, AUDIT, and FTND were used to assess, respectively, depression, anxiety, overall symptoms, global severity, social functioning, suicidal ideation, quality of life, alcohol use, and nicotine use. RESULTS After adjusting for age and total HAMD17 score, PD patients had higher scores for depressive mood, hallucinations, unusual thought content, suspiciousness, blunted affect, and emotional withdrawal on the PDAS and higher total scores on the SSI-Beck than non-PD patients. Binary logistic regression identified hallucinatory behavior and emotional withdrawal as predictors of PD. Receiver operating characteristic analysis showed that emotional withdrawal could be used to differentiate psychotic from non-psychotic depression. LIMITATIONS The inter-rater reliability for psychometric assessments was not evaluated. CONCLUSIONS In addition to assessing the severity and treatment outcomes of PD, PDAS can help in the diagnosis of PD.

Validation of a scoring tool to predict drug-resistant pathogens in hospitalised pneumonia patients.

BACKGROUND Health care-associated pneumonia (HCAP) affects a heterogeneous group of patients in frequent contact with health care systems. However, HCAP criteria poorly predict infection with drug-resistant (DR) pathogens. OBJECTIVE To validate our previously reported risk-scoring model (predictive of DR pathogen infection) in patients admitted to hospital with pneumonia. DESIGN We evaluated 580 patients admitted with culture-positive bacterial pneumonia. We identified risk factors, evaluated the risk-scoring models capacity to predict infection by DR pathogens and compared the models diagnostic accuracy with that of current HCAP criteria. RESULTS DR pathogens were observed in 227/580 patients (39.1%). Of 269 HCAP patients, 153 (56.9%) were infected with DR pathogens. Overtreatment was more common in HCAP than in community-acquired pneumonia (58.7% vs. 41.2%, P < 0.001). Recent hospitalisation, admission from a long-term care facility, recent antibiotic treatment and tube feeding were independently associated with DR pathogens. For pathogen prediction, the risk-scoring model showed better diagnostic accuracy than HCAP criteria (area under receiver operating-characteristic curve = 0.723 vs. 0.673, P < 0.001). CONCLUSION According to current HCAP criteria, half of the HCAP patients were treated unnecessarily with broad-spectrum antibiotics. Risk scoring by stratifying risk factors could improve the identification of patients likely to be infected with DR pathogens.

Validity of a commercial wearable sleep tracker in adult insomnia disorder patients and good sleepers

OBJECTIVES To compare the accuracy of the commercial Fitbit Flex device (FF) with polysomnography (PSG; the gold-standard method) in insomnia disorder patients and good sleepers. METHODS Participants wore an FF and actigraph while undergoing overnight PSG. Primary outcomes were intraclass correlation coefficients (ICCs) of the total sleep time (TST) and sleep efficiency (SE), and the frequency of clinically acceptable agreement between the FF in normal mode (FFN) and PSG. The sensitivity, specificity, and accuracy of detecting sleep epochs were compared among FFN, actigraphy, and PSG. RESULTS The ICCs of the TST between FFN and PSG in the insomnia (ICC=0.886) and good-sleepers (ICC=0.974) groups were excellent, but the ICC of SE was only fair in both groups. The TST and SE were overestimated for FFN by 6.5min and 1.75%, respectively, in good sleepers, and by 32.9min and 7.9% in the insomnia group with respect to PSG. The frequency of acceptable agreement of FFN and PSG was significantly lower (p=0.006) for the insomnia group (39.4%) than for the good-sleepers group (82.4%). The sensitivity and accuracy of FFN in an epoch-by-epoch comparison with PSG was good and comparable to those of actigraphy, but the specificity was poor in both groups. CONCLUSIONS The ICC of TST in the FFN-PSG comparison was excellent in both groups, and the frequency of agreement was high in good sleepers but significantly lower in insomnia patients. These limitations need to be considered when applying commercial sleep trackers for clinical and research purposes in insomnia.

Is the BPRS-5 subscale of the psychotic depression assessment scale a reliable screening tool for psychotic depression?: Results from the CRESCEND Study

BACKGROUND The detection of psychotic depression (PD) among patients with depressive disorders is important for both treatment and monitoring. Therefore, in continuation of our previous work, this study aimed to test the ability of the five-item Brief Psychiatric Rating Scale (BPRS-5) of the Psychotic Depression Assessment Scale (PDAS) in separating patients with psychotic depression from those with non-psychotic depression (non-PD) and to compare this discriminative validity to that of other item sets. METHODS A receiver operating characteristics curve was used to identify the optimal cut-off score of the BPRS-5 subscale for sensitive and specific distinction between PD and non-PD in a sample of 494 patients with depressive disorders (53 with PD and 441 with non-PD). RESULTS Using an optimal cut-off score of 1, the sensitivity and the specificity of the BPRS-5 subscale in detecting PD were 71.2% and 87.2%, respectively. The BPRS-5 outperformed other item sets of the PDAS and the positive symptom subscale of the BPRS in identifying patients with PD. LIMITATIONS The inter-rater reliability of the PDAS and the BPRS-5 subscale was not evaluated in this study. CONCLUSIONS The BPRS-5 subscale can be regarded as a more sensitive screening method for PD compared to other item sets from the PDAS and the BPRS. Hence, from a screening perspective, a positive score on any of the five symptoms of the BPRS-5 subscale (hallucinatory behavior, unusual thought content, suspiciousness, blunted affect, and emotional withdrawal) is indicative of PD, and should lead to more thorough diagnostic assessment.

Distinctive clinical correlates of psychotic major depression: The CRESCEND study

Objective The purpose of this investigation was to identify distinctive clinical correlates of psychotic major depression (PMD) as compared with non-psychotic major depression (NPMD) in a large cohort of Korean patients with major depressive disorder (MDD). Methods We recruited 966 MDD patients of age over 18 years from the Clinical Research Center for Depression of South Korea (CRESCEND) study. Diagnoses of PMD (n=24) and NPMD (n=942) were made with the DSM-IV definitions and confirmed with SCID. Psychometric scales were used to assess overall psychiatric symptoms (BPRS), depression (HAMD), anxiety (HAMA), global severity (CGI-S), suicidal ideation (SSI-Beck), functioning (SOFAS), and quality of life (WHOQOL-BREF). Using independent t-tests and χ2 tests, we compared clinical characteristics of patients with PMD and NPMD. A binary logistic regression model was constructed to identify factors independently associated with increased likelihood of PMD. Results PMD subjects were characterized by a higher rate of inpatient enrollment, and higher scores on many items on BPRS (somatic concern, anxiety, emotional withdrawal, guilt feelings, tension, depression, suspiciousness, hallucination, motor retardation, blunted affect and excitement) global severity (CGI-s), and suicidal ideation (SSI-Beck). The explanatory factor model revealed that high levels of tension, excitement, and suicidal ideation were associated with increased likelihood of PMD. Conclusion Our findings partly support the view that PMD has its own distinctive clinical manifestation and course, and may be considered a diagnostic entity separate from NPMD.

Psychosocial, Physical, and Autonomic Correlates of Depression in Korean Adults: Results from a County-Based Depression Screening Study

Objective We aimed to investigate the prevalence and psychosocial and neurophysiological correlates of depression in a large county-based cohort of Korean adults. Methods We recruited 2355 adults from a rural county-based health promotion program. The following psychometric scales were used: the Center for Epidemiologic Studies Depression scale (CES-D) was used to assess depression, the General Health Questionnaire (GHQ) was used to evaluate stress, and the Medical Outcome Study Social Support Survey (MOS-SSS) was used to determine perceived social support. Heart rate variability (HRV) was used to assess neurophysiological properties. The psychosocial and neurophysiological variables of adults with depression (CES-D score ≥25) and without depression (CES-D score <25) were statistically compared. A logistic regression model was constructed to identify factors independently associated with depression. Results We estimated that 17.7% of the subjects had depression, which was associated with old age, being female, being single, less religious affiliation, high education, low body mass index (BMI), low levels of aerobic exercise, low social support, and a low HRV triangular index. The explanatory factors of depression included high education, less religious affiliation, low levels of current aerobic exercise, low BMI, and low social support. Conclusion Given the relatively high prevalence of overall depression, subsyndromal depression should also be regarded as an important issue in screening. The independent factors associated with depression suggest that practical psychosocial intervention, including brief psychotherapy, aerobic exercise, and other self-help methods should be considered. In addition, the HRV results suggest that further depression screening accompanied by neurophysiological features would require fine methodological modifications with proactive efforts to prevent depressive symptoms.

How many different symptom combinations fulfil the diagnostic criteria for major depressive disorder? Results from the CRESCEND study

Abstract Background: The polythetic nature of major depressive disorder (MDD) in DSM- IV and DSM-5 inevitably leads to diagnostic heterogeneity. Aims: This study aimed to identify the number of depressive symptom combinations actually fulfilling the DSM-IV diagnostic criteria that can be found in Korean MDD patients and the relative frequencies of each combination. Methods: Using the data from the Clinical Research Center for Depression (CRESCEND) study in South Korea, we enrolled 853 MDD patients diagnosed using DSM-IV and scored as 8 or more on the Hamilton Depression Rating Scale (HAMD). Descriptive statistical analyses were performed to reveal the degree of diagnostic heterogeneity of the MDD. Results: This study identified 119 different depressive symptom combinations. The most common combination consisted of all nine depressive symptom profiles, and nine different combinations were each present in more than 3% of the patients. Conclusion: The findings support the criticism that the diagnosis of MDD is not based on a single mental process, but on a set of ‘family resemblances’.