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

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

OBJECTIVE: The pathophysiology of major depressive disorder (MDD) is still not well understood. Conflicting results for surrogate biomarkers in MDD have been reported, which might be a consequence of the heterogeneity of MDD patients. Therefore, we aim to investigate how the severity of depression and various symptom domains are related to the levels of dehydroepiandrosterone sulfate (DHEA-s) in MDD patients. METHODS: We recruited 117 subjects from a general practice. Depressive symptoms were assessed using the Beck Depression Inventory (BDI). Depressive symptoms were divided into three subdomains according to BDI items; somatic symptoms, guilt and failure, and mood and inhibition. RESULTS: In subjects with very-mild-to-moderate depression, the DHEA-s level increased as BDI score did. However, the DHEA-s levels in the subjects with severe depression were significantly lower than in subjects with moderate depression (p=0.003). DHEA-s level was correlated with the BDI subscore for guilt and failure in very-mild-to-moderate depression (r=0.365, p=0.006). CONCLUSION: The DHEA-s level appears to be indicative of MDD severity with respect to depressive symptoms, especially regarding guilt and failure. Our findings suggest that the upregulation of DHEA-s may be a part of a compensatory process in very-mild-to-moderate depression, and the failure of this compensation mechanism may underlie the development of severe depression.
Biomarkers ; Compensation and Redress ; Dehydroepiandrosterone Sulfate* ; Dehydroepiandrosterone* ; Depression ; Depressive Disorder, Major* ; Diagnosis, Differential ; General Practice ; Guilt ; Humans ; Neuroendocrinology ; Population Characteristics ; Up-Regulation

Differentiating early Alzheimer's disease (AD) from depression with cognitive impairment is challenging in the elderly. To develop a model for differentiating these two conditions using electroencephalography (EEG), we enrolled 11 patients with early probable AD and 11 age- and cognitive function-matched patients with major depressive disorder (MDD) and compared the EEG relative powers of 9 scalp regions. Compared to the MDD group, the AD group had a higher global theta relative power (p=0.021). In the MDD group, beta relative power was higher in the mid-central region than in the left or right central regions (p<0.01). The prediction model that included global theta relative power and regional beta index was able to discriminate AD from MDD (AUC=0.893, p=0.002). A combination of global theta relative power and intra-individual regional differences in beta may differentiate early AD from MDD with cognitive impairment.
Aged ; Alzheimer Disease* ; Cognition Disorders ; Depression* ; Depressive Disorder, Major ; Diagnosis, Differential ; Electroencephalography* ; Humans ; Scalp

OBJECTIVE: Among the various psychiatric disorders, depression is a common comorbid condition in cancer patients. Due to the distinct and diverse nature of cancer, the prevalence of depression may be assumed to be affected by differences in primary cancer sites. In this study, we explored the prevalence rates of depression among the ten most prevalent cancers in South Korea using a national patient sample. METHODS: This was a 1-year cross-sectional study using a national patient sample provided by the South Korean National Health Insurance in 2011. We selected all patients who had received ICD-10 codes of the 10 most prevalent cancers and major depressive disorder. Afterwards, the cancer and depression groups were merged and analyzed. RESULTS: The MDD prevalence rate was highest in lung cancer (11.0%), followed by non-Hodgkin's lymphoma (9.2%), prostate (9.1%), bladder (8.8%), breast (7.8%), cervix (7.8%), colorectal (7.7%), stomach (6.9%), liver (6.5%), and thyroid cancer (5.6%). Within all cancer groups, patients with a MDD diagnosis were significantly older (p<0.05) than non-MDD patients. Colorectal, stomach, and thyroid cancer displayed a higher female proportion in the MDD group than the non-MDD group. In the subgroup analysis, the prevalence rate differed by age and sex. CONCLUSION: The prevalence of depression varied according to cancer types. Patients with lung cancer were the most prone to experience depression. Because clinical and psychological factors may influence MDD prevalence, these factors will need to be studied more closely in the future.
Breast ; Cervix Uteri ; Cross-Sectional Studies ; Depression* ; Depressive Disorder, Major ; Diagnosis ; Epidemiology ; Female ; Humans ; International Classification of Diseases ; Korea* ; Liver ; Lung Neoplasms ; Lymphoma, Non-Hodgkin ; National Health Programs ; Prevalence* ; Prostate ; Psychology ; Stomach ; Thyroid Neoplasms ; Urinary Bladder

We examined predictors of suicide attempts in clinically depressed adolescents in Korea and gender differences in suicidal behavior. In total, 106 adolescents diagnosed with depressive disorder were recruited in South Korea. We assessed various variables that might affect suicide attempts, and used a structured interview for the diagnosis of depression and comorbidities and to evaluate suicidality. Demographic and clinical characteristics of the subjects were compared between suicide attempt and non-suicide attempt groups and we examined significant predictors of suicide attempts. Gender differences in suicidal ideation and suicidal behavior were also analyzed. Among 106 depressed participants, 50 (47.2%) adolescents were classified in the suicide attempt group. Generally, the suicide attempt and non-suicide attempt group shared similar clinical characteristics. The suicide attempt group had more females, more major depressive disorder diagnoses, more depressive episodes, and higher suicidal ideation than the non-suicide attempt group. Suicidal ideation was the only significant predictor of suicidal attempt, regardless of gender. Higher suicidal ideation frequency scores and more non-suicidal self-injurious behaviors were shown in the female suicide attempt group than the male suicide attempt group. It is recommended that suicidal ideation be assessed regularly and managed rigorously to decrease suicide risks in depressive adolescents.
Adolescent* ; Comorbidity ; Depression ; Depressive Disorder ; Depressive Disorder, Major ; Diagnosis ; Female ; Humans ; Korea ; Male ; Self-Injurious Behavior ; Suicidal Ideation ; Suicide* ; Suicide, Attempted

OBJECTIVES: There is little research on the practice and effectiveness of electroconvulsive therapy (ECT) in Korea. This study investigated the practice pattern, effectiveness, and safety of ECT. METHODS: This chart review study included electronic medical records of 180 patients treated with ECT between January 2007 and December 2013 at the Asan Medical Center. Symptomatic improvement was assessed using Clinical Global Impression (CGI) scale. Treatment response was defined as CGI improvement scale score of 2 or less. Re-hospitalization was used as an indicator of recurrence. Safety was assessed by spontaneous reports from patients. RESULTS: One hundred and eighty patients underwent 1539 sessions of modified ECT. Their most frequent diagnosis was major depressive disorder (n=74, 41.1%). The most common indication for ECT was poor response to medication (n=177, 75.3%). Treatment response rate was 66.9% in acute phase group and 63.8% in the patients with poor response to medication. The recurrence rate at six months after the end of the course was 29.6%. Memory impairment or amnesia was the most common adverse effect. CONCLUSION: There was a remarkable improvement following ECT in patients who responded poorly to medications, and most adverse effects were tolerable and temporary. The present study suggests that ECT could be a useful treatment option.
Amnesia ; Chungcheongnam-do ; Depressive Disorder, Major ; Diagnosis ; Electroconvulsive Therapy* ; Electronic Health Records ; Humans ; Korea ; Memory ; Recurrence

Major depression is a common condition seen in the primary care setting, often presenting with somatic symptoms. It is potentially a chronic illness with considerable morbidity, and a high rate of relapse and recurrence. Major depression has a bidirectional relationship with chronic diseases, and a strong association with increased age and coexisting mental illnesses (e.g. anxiety disorders). Screening can be performed using clinical tools for major depression, such as the Patient Health Questionaire-2, Patient Health Questionaire-9 and Beck Depression Inventory, so that timely treatment can be initiated. An accurate diagnosis of major depression and its severity is essential for prompt treatment to reduce morbidity and mortality. This is the first of a series of articles that illustrates the approach to the management of major depression in primary care. Our next articles will cover suicide risk assessment in a depressed patient and outline the basic principles of management and treatment modalities.
Chronic Disease ; Depressive Disorder, Major ; complications ; diagnosis ; Disabled Persons ; Humans ; Mass Screening ; Primary Health Care ; methods ; Psychometrics ; Recurrence ; Risk Assessment ; Suicide ; prevention & control ; Surveys and Questionnaires

We aimed to examine the potential relationship between season of birth (SOB) and clinical characteristics in Korean patients with unipolar non-psychotic major depressive disorder (MDD). Using data from the Clinical Research Center for Depression (CRESCEND) study in South Korea, 891 MDD patients were divided into two groups, those born in spring/summer (n=457) and those born in autumn/winter (n=434). Measurement tools comprising the Hamilton Depression Rating Scale, Hamilton Anxiety Rating Scale, Brief Psychiatric Rating Scale, Scale for Suicidal Ideation, Clinical Global Impression of severity, Social and Occupation Functional Assessment Scale, WHO Quality of Life assessment instrument-abbreviated version, Alcohol Use Disorder Identification Test, and Temperament and Character Inventory were used to evaluate depression, anxiety, overall symptoms, suicidal ideation, global severity, social function, quality of life, drinking, and temperament and character, respectively. Using independent t-tests for continuous variables and χ2 tests for discrete variables, the clinical characteristics of the two groups were compared. MDD patients born in spring/summer were on average younger at onset of first depressive episode (t=2.084, p=0.038), had greater loss of concentration (χ2=4.589, p=0.032), and were more self-directed (t=2.256, p=0.025) than those born in autumn/winter. Clinically, there was a trend for the MDD patients born in spring/summer to display the contradictory characteristics of more severe clinical course and less illness burden; this may have been partly due to a paradoxical effect of the 5-HT system.
Adult ; Age of Onset ; Aged ; Alcohol Drinking ; Bipolar Disorder/*diagnosis/*ethnology/psychology ; Character ; Cost of Illness ; Depression ; Depressive Disorder, Major/*diagnosis/*ethnology/psychology ; Female ; Humans ; Male ; Middle Aged ; Personality Inventory/statistics & numerical data ; *Quality of Life ; Republic of Korea/epidemiology ; *Seasons ; Temperament

OBJECTIVES: The aim of this study is to evaluate difference of somatic symptoms of anxiety disorder and major depressive disorder and domainal association with suicidal idealization, plan, and attempts. METHODS: A total of 359 adults diagnosed with major depressive disorder and anxiety disorder of last one year participated. Participants interviewed with certain sections of Korean version of Composite International Diagnostic interview of CIDI. Sections of interests includes questionnaires regarding somatic symptoms and suicidal idea, plan and attempts of last one year. RESULTS: Chest pain shows more prevalence in major depressive disorder. Symptoms of Headache and loose stool are more prevalent in anxiety disorder. Difficulty in equilibrium and fainting spells are more common somatic complaints of co-diagnosis states of anxiety disorder and major depressive disorder. Comparing 3 domains of pain symptoms, gastrointestinal symptoms and pseudo-neurological symptoms, pain symptom domains, gastrointestinal symptoms domain shows significant statistic difference between diagnosis. Average somatic symptom numbers of each symptom domains increase through suicidal idealization, plan and attempt, accordingly. CONCLUSIONS: Our finding shows some of somatic symptoms are more prevalent at certain diagnosis. Since increasing numbers of somatic complaints of each symptom domains goes with the suicidal idealization to suicidal attempts, proper psychiatric evaluation and consultations are crucial for patients with numerous somatic complaints in non-psychiatric clinical settings.
Adult ; Anxiety Disorders* ; Anxiety* ; Chest Pain ; Depression ; Depressive Disorder, Major* ; Diagnosis ; Headache ; Humans ; Prevalence ; Referral and Consultation ; Suicide ; Syncope