Early distinction of bipolar disorder (BD) from major depressive disorder (MDD) is difficult since no tools are available to estimate the risk of BD. In this study, we aimed to develop and validate a model of oxidative stress injury for predicting BD. Data were collected from 1252 BD and 1359 MDD patients, including 64 MDD patients identified as converting to BD from 2009 through 2018. 30 variables from a randomly-selected subsample of 1827 (70%) patients were used to develop the model, including age, sex, oxidative stress markers (uric acid, bilirubin, albumin, and prealbumin), sex hormones, cytokines, thyroid and liver function, and glycolipid metabolism. Univariate analyses and the Least Absolute Shrinkage and Selection Operator were applied for data dimension reduction and variable selection. Multivariable logistic regression was used to construct a model for predicting bipolar disorder by oxidative stress biomarkers (BIOS) on a nomogram. Internal validation was assessed in the remaining 784 patients (30%), and independent external validation was done with data from 3797 matched patients from five other hospitals in China. 10 predictors, mainly oxidative stress markers, were shown on the nomogram. The BIOS model showed good discrimination in the training sample, with an AUC of 75.1% (95% CI: 72.9%-77.3%), sensitivity of 0.66, and specificity of 0.73. The discrimination was good both in internal validation (AUC 72.1%, 68.6%-75.6%) and external validation (AUC 65.7%, 63.9%-67.5%). In this study, we developed a nomogram centered on oxidative stress injury, which could help in the individualized prediction of BD. For better real-world practice, a set of measurements, especially on oxidative stress markers, should be emphasized using big data in psychiatry.
Biomarkers/metabolism* ; Bipolar Disorder/metabolism* ; Depressive Disorder, Major/diagnosis* ; Early Diagnosis ; Humans ; Oxidative Stress

Antidepressants are widely used to treat depression in Korea, however, only a few studies have focused on the provider of the treatment. The aim of the study is to compare the differences between patients who were prescribed antidepressants by psychiatrists and those who were prescribed antidepressants by non-psychiatrists in South Korea. Patients with a diagnosis of depressive disorder who had been newly prescribed antidepressants in 2012 were selected from the Health Insurance Review and Assessment Service database. They were classified into two groups depending on whether they received the antidepressant prescription from a psychiatrist or non-psychiatrist. Sociodemographic, clinical, and depression related cost has been investigated. Treatment resistant depression, which is defined as a failure of two antidepressant regimens to alleviate symptoms, was also investigated. Prescription adequacy was assessed based on whether a regimen was maintained for at least 4 weeks. Among the 834694 patients with pharmaceutically treated depression (PTD) examined in this study, 326122 (39.1%) were treated by psychiatrists. Patients who were treated by psychiatrists were younger and had more psychiatric comorbidities than those treated by non-psychiatrists. They had longer PTD duration (229.3 days vs. 103.0 days, p < 0.05) and a larger proportion of treatment resistant depression (9.3% of PTD) when compared to those patients treated by non-psychiatrists. The patients treated by psychiatrists had a smaller proportion of inadequate antidepressant use compared to those patients in the non-psychiatrist group (44.5% vs. 65.1%, p < 0.05). The costs related to depression corrected with PTD duration were higher in the nonpsychiatrist group (32214 won vs. 56001 won, p < 0.05). Patients who receive antidepressants from psychiatrists are patients with more severe, treatment-resistant depression. Psychiatrists prescribe antidepressants more adequately and cost-effectively than non-psychiatrists.
Antidepressive Agents ; Comorbidity ; Depression ; Depressive Disorder ; Depressive Disorder, Treatment-Resistant ; Diagnosis ; Epidemiology ; Humans ; Insurance, Health ; Korea ; Prescriptions ; Psychiatry

Neurocognitive deficits are frequently observed in patients with schizophrenia and major depressive disorder (MDD). The relations between cognitive features may be represented by neurocognitive graphs based on cognitive features, modeled as Gaussian Markov random fields. However, it is unclear whether it is possible to differentiate between phenotypic patterns associated with the differential diagnosis of schizophrenia and depression using this neurocognitive graph approach. In this study, we enrolled 215 first-episode patients with schizophrenia (FES), 125 with MDD, and 237 demographically-matched healthy controls (HCs). The cognitive performance of all participants was evaluated using a battery of neurocognitive tests. The graphical LASSO model was trained with a one-vs-one scenario to learn the conditional independent structure of neurocognitive features of each group. Participants in the holdout dataset were classified into different groups with the highest likelihood. A partial correlation matrix was transformed from the graphical model to further explore the neurocognitive graph for each group. The classification approach identified the diagnostic class for individuals with an average accuracy of 73.41% for FES vs HC, 67.07% for MDD vs HC, and 59.48% for FES vs MDD. Both of the neurocognitive graphs for FES and MDD had more connections and higher node centrality than those for HC. The neurocognitive graph for FES was less sparse and had more connections than that for MDD. Thus, neurocognitive graphs based on cognitive features are promising for describing endophenotypes that may discriminate schizophrenia from depression.
Adult ; Algorithms ; Depressive Disorder, Major ; classification ; diagnosis ; Endophenotypes ; analysis ; Female ; Humans ; Machine Learning ; Male ; Markov Chains ; Neuropsychological Tests ; Schizophrenia ; classification ; diagnosis ; Young Adult

INTRODUCTION: Expectant mothers may appear anxious even during healthy pregnancies. Unfortunately, little is known about antenatal anxiety, and affected women may remain undetected and untreated. This study aimed to examine the prevalence, incidence, course and associations of high state anxiety in routine obstetric care. MATERIALS AND METHODS: This was an observational prospective cohort study at a large maternity unit. Obstetric outpatients with low-risk singleton pregnancies were recruited during first trimester consultations. Participants provided sociodemographic data and completed the State-Trait Anxiety Inventory (STAI) and Edinburgh Postnatal Depression Scale. The STAI was re-administered at each subsequent trimester. RESULTS: Prevalence and incidence of  high state anxiety among 634 completers were 29.5% (95% CI 25.6%-33.6%) and 13.9% (95% CI 9.9%-18.0%), respectively. Anxiety was persistent in 17.0% (95% CI 14.3%-20.2%) and transient in 26.3% (95% CI 23.1%-29.9%). Only persistently anxious participants had high mean second trimester state anxiety scores. Odds for anxiety of greater persistence increased by 29% (95% CI 24%-35%) per 1-point increase in first trimester depression scores, and decreased by 36% (95% CI 7%-56%) with tertiary education. CONCLUSION Antenatal anxiety symptoms are common even in normal pregnancies, especially among women with depression and lower education. Our study indicates value in exploring diagnostic criteria and quantitative measures for antenatal anxiety.
Adult ; Anxiety Disorders ; diagnosis ; epidemiology ; Cohort Studies ; Confidence Intervals ; Depressive Disorder ; diagnosis ; epidemiology ; Female ; Humans ; Odds Ratio ; Pregnancy ; Pregnancy Complications ; diagnosis ; epidemiology ; Pregnancy Outcome ; Pregnancy Trimester, First ; Prenatal Diagnosis ; Prevalence ; Prospective Studies ; Risk Assessment ; Severity of Illness Index ; Singapore

OBJECTIVES: Although impulsivity has long been thought as an important factor influencing suicidal behaviors, it is unknown whether impulsivity increases the risk of dying from suicidal behaviors and what specific component among constructs of impulsivity contributes to the risk of dying among suicide attempters. METHODS: To elucidate the association between impulsivity and medical lethality of suicide attempt among suicide attempters, we consecutively recruited 46 suicide attempters who visited an emergency room of a general hospital located in a metropolitan area, Seoul, Republic of Korea, due to suicide attempts and consented to participate in this study. Then we assessed medical lethality with the Beck Lethality Scale (LS) and impulsivity with the Korean version of the Barratt Impulsiveness Scale-11-Revised (BIS). Demographic variables were obtained from medical records and structured social work reports for suicide attempters. RESULTS: Although total scores of the BIS did not correlate with LS scores, only the scores of self-control, that is one of the Barret's six theoretical constructs of impulsivity in which the higher score indicates less self-control and more impulsivity, had a significant positive correlation with scores of LS (p = 0.003). The association remained significant after adjusting for variables known to affect suicide lethality such as job status, recent alcohol consumption, diagnosis of depressive disorders, and having a plan for suicide (β = 0.429, p = 0.009). CONCLUSIONS: Not impulsivity in general, but poor self-control, in particular, predicts lethal suicidal behaviors among suicide attempters. The degree of self-control should be evaluated when assessing patients with elevated suicide risk, and proper measures should be installed to prevent possible future lethal suicide attempts.
Alcohol Drinking ; Depressive Disorder ; Diagnosis ; Emergency Service, Hospital ; Hospitals, General ; Humans ; Impulsive Behavior* ; Medical Records ; Republic of Korea ; Self-Control ; Seoul ; Social Work ; Suicide* ; Suicide, Attempted ; Trauma Severity Indices

The ability to identify students at ultra-high risk (UHR) for psychosis in school settings is crucial for enabling appropriate referral to a clinician and positive therapeutic results. The aim of this study was to examine school counselors' recognition of the diagnosis and appropriate treatment recommendations for students at UHR for psychosis. In total, 132 school counselors completed surveys, including questions relating to a vignette about a student at UHR for psychosis. In total, 12.4% of the sample provided the correct diagnosis, much lower than that for other schizophrenia spectrum disorders and non-psychotic disorders, including depressive disorder. Although most school counselors preferred psychiatrists as the first-line treatment for students at UHR for psychosis, counseling centers were also mentioned as potential treatment options. In terms of medication, antipsychotics were preferred over other medication classes. It is necessary to design appropriate educational and training programs for school counselors to promote identification and effective referral of those at UHR for psychosis.
Antipsychotic Agents ; Counseling ; Depressive Disorder ; Diagnosis ; Education ; Humans ; Psychiatry ; Psychotic Disorders* ; Referral and Consultation ; Schizophrenia

BACKGROUND: To further understand the relationship between anxiety and depression, this study examined the factor structure of the combined items from two validated measures for anxiety and depression. METHODS: The participants were 406 patients with mixed psychiatric diagnoses including anxiety and depressive disorders from a psychiatric outpatient unit at a university-affiliated medical center. Responses of the Beck Anxiety Inventory (BAI), Beck Depression Inventory (BDI)-II, and Symptom Checklist-90-Revised (SCL-90-R) were analyzed. We conducted an exploratory factor analysis of 42 items from the BAI and BDI-II. Correlational analyses were performed between subscale scores of the SCL-90-R and factors derived from the factor analysis. Scores of individual items of the BAI and BDI-II were also compared between groups of anxiety disorder (n = 185) and depressive disorder (n = 123). RESULTS: Exploratory factor analysis revealed the following five factors explaining 56.2% of the total variance: somatic anxiety (factor 1), cognitive depression (factor 2), somatic depression (factor 3), subjective anxiety (factor 4), and autonomic anxiety (factor 5). The depression group had significantly higher scores for 12 items on the BDI while the anxiety group demonstrated higher scores for six items on the BAI. CONCLUSION: Our results suggest that anxiety and depressive symptoms as measured by the BAI and BDI-II can be empirically differentiated and that particularly items of the cognitive domain in depression and those of physical domain in anxiety are noteworthy.
Anxiety Disorders ; Anxiety* ; Depression* ; Depressive Disorder ; Diagnosis ; Factor Analysis, Statistical* ; Humans ; Outpatients*

OBJECTIVE: It is not easy to diagnose bipolar disorders accurately in the clinical setting. Although Korean version of the Mood Disorder Questionnaire (K-MDQ) is easily administered, it still has weakness regarding case finding. In this study, we suggest a new weighted version of the K-MDQ to increase its screening power. METHODS: Ninety-five patients with bipolar disorders and 346 controls (patients with schizophrenia, patients with depressive disorders, patients with anxiety disorders, and subjects without any psychiatric disease) were enrolled in this study. The subjects received brief information on the K-MDQ, and then independently completed the questionnaire. RESULTS: Using odds ratios, we constructed a new weighted K-MDQ (W-K-MDQ). Item 1 (feel so good or hyper) was weighted 7 times and item 4 (less sleep) 3.5 times. Item 7 (easily distracted) and item 11 (more interested in sex) were excluded. Part 2 (simultaneity) and 3 (functional impairment) were also excluded as in the original K-MDQ. The sensitivity of the W-K-MDQ with a cutoff value of 10 was enhanced to 0.789. The area under the receiver operating characteristic curve was increased to 0.837. CONCLUSION: We suggested a new formula for K-MDQ using 11 of its items. The W-K-MDQ can be easily applied with good sensitivity to screen for bipolar disorders in clinical settings in Korea. Further evaluations with larger samples are needed to establish the usefulness of the W-K-MDQ.
Anxiety Disorders ; Bipolar Disorder ; Depressive Disorder ; Diagnosis, Differential ; Humans ; Korea ; Mass Screening* ; Mood Disorders* ; Odds Ratio ; ROC Curve ; Schizophrenia

OBJECTIVES: Effects of multiple trauma are complex and extend beyond core PTSD symptoms. However, few psychological instruments for trauma assessment address this issue of symptom complexity. The Trauma Symptom Checklist-40 (TSC-40) is a self-report scale that assesses wide range of symptoms associated with childhood or adult traumatic experience. The purpose of the present study was to evaluate the validity of the Korean Version of the TSC-40 in a sample of psychiatric outpatients. METHODS: Data of 367 treatment-seeking patients with DSM-IV diagnoses were obtained from an outpatient department of psychiatric unit at a university hospital. The diagnoses were anxiety disorder, posttraumatic stress disorder, depressive disorder, adjustment disorder and others. Included in the psychometric data were the TSC-40, the Life events checklist, the Impact of Event Scale-Revised, the Zung's Self-report Depression Scale, and the Zung's Self-report Anxiety Scale. Cronbach's α for internal consistency were calculated. Convergent and concurrent validity was approached with correlation between the TSC-40 and other scales (PTSD, anxiety and depression). RESULTS: Exploratory factor analysis of the Korean Version of TSC-40 extracted seven-factor structure accounted for 59.55% of total variance that was contextually similar to a six-factor structure and five-factor structure of the original English version. The Korean Version of TSC-40 demonstrated a high level of internal consistency. (Cronbach's α=0.94) and good concurrent and convergent validity with another PTSD scale and anxiety and depression scales. CONCLUSIONS: Excellent construct validity of The Korean Version of TSC-40 was proved in this study. And subtle difference in the factor structure may reflect the cultural issues and the sample characteristics such as heterogeneous clinical population (including non-trauma related disorders) and outpatient status. Overall, this study TSCdemonstrated that the Korean version of TSC-40 is psychometrically sound and can be used for Korean clinical population.
Adjustment Disorders ; Adult ; Anxiety ; Anxiety Disorders ; Checklist ; Depression ; Depressive Disorder ; Diagnosis ; Diagnostic and Statistical Manual of Mental Disorders ; Humans ; Multiple Trauma ; Outpatients ; Psychometrics ; Stress Disorders, Post-Traumatic ; Weights and Measures

INTRODUCTIONLiterature has shown that individuals with various psychiatric disorders experience a lower quality of life (QoL). However, few have examined QoL across disorders. The current study explored differences in QoL and symptom severity across 4 psychiatric diagnostic groups: anxiety disorders (including obsessive compulsive disorder [OCD]), depressive disorders, schizophrenia, and pathological gambling.

MATERIALS AND METHODSData analysed was from a previous study that examined the prevalence of hoarding symptoms among outpatients (n = 500) in a tertiary psychiatric hospital in Singapore. Measures utilised included the Beck Anxiety Inventory (BAI), Beck Depression Inventory-II (BDI-II) and Quality of Life Enjoyment and Satisfaction QuestionnaireShort Form (Q-LES-Q-SF). Sociodemographic information and details on type and number of comorbidities were also collected.

RESULTSThe depressive disorder group had the highest level of depressive and anxiety symptoms and the lowest QoL whereas; the schizophrenia group had the lowest level of depressive symptoms and the highest QoL. Age and employment status were the only sociodemographic correlates which were significantly associated with QoL. After controlling for sociodemographic factors, only the type of mental disorder was found to have a significant effect in explaining BAI, BDI-II and Q-LES-Q-SF.

CONCLUSIONFindings offer insight in terms of the burden associated with the various disorders.

Adult ; Anxiety Disorders ; epidemiology ; psychology ; Comorbidity ; Cost of Illness ; Demography ; Depressive Disorder ; epidemiology ; psychology ; Female ; Gambling ; epidemiology ; psychology ; Humans ; Male ; Middle Aged ; Outpatients ; psychology ; statistics & numerical data ; Psychiatric Status Rating Scales ; Quality of Life ; Schizophrenia ; diagnosis ; epidemiology ; Singapore ; epidemiology ; Socioeconomic Factors