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We evaluated the diagnostic validity of the 9-item depression module of the Patient Health Questionnaire-9 (PHQ-9) in elderly Korean patients and suggest an optimal cutoff score to screen for major depressive disorders. The PHQ-9 and an elderly health questionnaire were administered to 1060 subjects older than 60 years, chosen using a stratified random sample of the community. The PHQ-9 was measured and compared with the Geriatric Depression Scale, Center for Epidemiological Studies Depression Scale, and Beck Depression Inventory scores. Reliability and validity tests, factor analysis, and receiver operating characteristic curve analysis were performed. The PHQ-9 indicated that 175 subjects had depressive disorders, and 885 subjects were rated as healthy. The PHQ-9 showed significant positive internal consistency ( r = 0.88) and test-retest reliability ( r = 0.60). The convergent validity with Geriatric Depression Scale and Center for Epidemiological Studies Depression Scale was significantly positive ( r = 0.74 and 0.66, respectively). We suggest a score of 5 as the optimal cutoff point when screening for depressive disorders using the PHQ-9. The Korean version of the PHQ-9 is an appropriate diagnostic tool for depression, and a score of 5 is the optimal cutoff for Korean elderly subjects. Screening for depression in the elderly population using the PHQ-9 would be valuable when medically ill patients show depressive symptoms in a primary health care setting.

Background Suicide is a significant yet preventable public health issue. Body mass index (BMI) is a readily measurable indicator associated with various health outcomes. However, the relationship between BMI and suicidal death risk is complex and warrants further investigation, particularly within contemporary, non-Western contexts with consideration of potential confounders. The purpose of this study was to investigate the relationship between BMI and the risk of suicidal death. Methods This study was nationwide, retrospective, observational study based on Korean National Health Insurance Service database. We analyzed 4,045,081 participants who were aged > 19 years and underwent national health surveillance in 2009. The participants were categorized according to their BMI (underweight: < 18.5 kg/m², normal weight: 18.5–23 kg/m², overweight: 23–25 kg/m², class I obesity: 25–30 kg/m², and class II obesity: > 30 kg/m²). The primary outcome was the death events caused by suicide which was defined by International Classification of Disorders (ICD-10) codes (X60–X84) and death records documented by the Korea National Statistical Office. Multivariate Cox proportional hazard regression analysis was performed to estimate the risk of suicidal death with respect to BMI categories after adjusting for potential confounders (age, sex, income, diabetes, hypertension, dyslipidemia, smoking, drinking, exercise, self-abuse, waist circumference, schizophrenia, bipolar disorder, eating disorder, cancer, anxiety, and substance use disorder). Results Underweight individuals had an increased risk (hazard ratio [HR] 1.44, 95% confidence interval [CI] 1.31–1.57) while overweight (HR 0.79, 95% CI 0.76–0.83), class I (HR 0.76, 95% CI 0.71–0.80) and class II obesity (HR 0.71, 95% CI 0.63–0.81) were associated with decreased risks of suicidal deaths compared to those of the normal weight individuals (BMI 18.5–23). This trend was consistent regardless of the presence of major depressive disorder (MDD) or the type of living arrangements of the participants. Conclusions Suicidal death risk was inversely correlated with BMI categories, independent of MDD or living arrangements. Our data suggests the importance of physiological factors associated with body mass in understanding suicidal death risk. Furthermore, these data provide valuable insights to where the public health resources should be invested to reduce suicidal death rates.

Depression affects 7% of the elderly population, and it often remains misdiagnosed or untreated. Peripheral biomarkers might aid clinicians by allowing more accurate and well-timed recognition of the disease. We sought to determine if plasma protein levels predict the severity of depressive symptomatology or distinguish patients from healthy individuals. The severity of depressive symptoms and global cognitive functioning were assessed by the Geriatric Depression Scale (GDS) and Mini-Mental State Examination (MMSE) in 152 elderly subjects, 76 of which with major depressive disorder (MDD). Plasma levels of 24 proteins were measured by multiplexing and analyzed as continuous predictors or dichotomized using the median value. The association between individual plasma proteins and MDD risk or depressive symptoms severity was investigated using multiple logistic and linear regressions including relevant covariates. Sensitivity analyses were performed excluding cognitively impaired individuals or non-acute patients with MDD. After adjusting for possible confounders and false discovery rate (FDR) correction, we found lower Fetuin-A levels in MDD patients vs. controls (pFDR = 1.95 × 10–6). This result was confirmed by the sensitivity and dichotomized analyses. Lower prolactin (PRL) levels predicted more severe depressive symptoms in acute MDD patients (pFDR = 0.024). Fetuin-A is a promising biomarker of MDD in the elderly as this protein was negatively associated with the disorder in our sample, regardless of the global cognitive functioning. Lower PRL levels may be a peripheral signature of impaired neuroprotective processes and serotoninergic neurotransmission in more severely depressed patients.

Vortioxetine was approved by the U.S. Food and Drug Administration (FDA) in September 2013 for treating major depressive disorder (MDD). Thus far, a number of randomized, double-blind, placebo-controlled clinical trials (RCTs) of vortioxetine have been conducted in patients with MDD. We performed a meta-analysis to increase the statistical power of these studies and enhance our current understanding of the role of vortioxetine in the treatment of MDD. We performed an extensive search of databases and the clinical trial registry. The mean change in total scores on the 24-item Hamilton Rating Scale for Depression (HAM-D) and the Montgomery–Åsberg Depression Rating Scale (MADRS) from the baseline were the primary outcome measures. The secondary efficacy measures were the response and remission rates, as defined by a 50% or greater reduction in HAM-D/MADRS total scores and as a score of 10 or less in the MADRS and 7 or less in the HAM-D total scores at the end of treatment. We included 7 published and 5 unpublished short-term (6–12 wk) RCTs in our meta-analysis. Vortioxetine was significantly more effective than placebo, with an effect size (standardized mean difference [SMD]) of −0.217 (95% confidence interval [CI] −0.313 to −0.122) and with odds ratios (ORs) for response and remission of 1.652 (95% CI 1.321 to 2.067) and 1.399 (95% CI 1.104 to 1.773), respectively. Those treated with vortioxetine did not differ significantly from those treated with selective norepinephrine reuptake inhibitors/agomelatine with regard to the SMD of the primary outcome measure (0.081, −0.062 to 0.223) or for response (OR 0.815, 95% CI 0.585 to 1.135) and remission (OR 0.843, 95% CI 0.575 to 1.238) rates. Discontinuation owing to lack of efficacy (OR 0.541, 95% CI 0.308 to 0.950) was significantly less common among those treated with vortioxetine than among those who received placebo, whereas discontinuation owing to adverse events (AEs; OR 1.530, 95% CI 1.144 to 2.047) was significantly more common among those treated with vortioxetine than among those receiving placebo. There was no significant difference in discontinuation rates between vortioxetine and comparators owing to inefficacy (OR 0.983, 95% CI 0.585 to 1.650), whereas discontinuation owing to AEs was significantly less common in the vortioxetine than in the comparator group (OR 0.728, 95% CI 0.554 to 0.957). Studies examining the role of vortioxetine in the treatment of MDD are limited. Although our results suggest that vortioxetine may be an effective treatment option for MDD, they should be interpreted and translated into clinical practice with caution, as the meta-analysis was based on a limited number of heterogeneous RCTs.

ABSTRACTBackgroundComplement factor H (CFH) plays a key role in regulating the cascade of the alternative pathway of the complement system. Dysregulation of CFH may be involved in the pathophysiology of various inflammation-mediated diseases including neuropsychiatric illnesses. This study aimed to investigate this relationship by examining determining CFH levels in elderly individuals with and without depression. MethodsA total of 152 elderly individuals (major depressive disorder (MDD) group, n = 76; comparison sample, n = 76) were selected from the Ansan Geriatric study. The plasma level of CFH was measured. MDD was diagnosed with the Mini-International Neuropsychiatric Interview as per DSM-IV criteria. The severity of depression was evaluated with the geriatric depression scale (GDS). Mean CFH levels were compared using the Mann–Whitney U test. After adjusting for possible confounding factors including age, sex, marital status, education, alcohol use, hemoglobin levels, and the Korean version of the Mini-Mental State Examination (MMSE-KC), a multiple regression analysis was conducted. The GDS score and plasma level of CFH were analyzed using Spearman's correlation. ResultsPlasma CFH level was significantly higher in individuals with MDD than in the comparison sample (289.51 ± 21.16 vs. 339.67 ± 66.23, p < 0.001). In a regression model adjusted for possible confounders, CFH was significantly associated with geriatric depression (p < 0.001). CFH levels were not significantly related to GDS scores in the depressed group. ConclusionThis study revealed an association between high plasma levels of CFH and geriatric depression, thereby suggesting the alternative pathway of the complement system contributing to the development of geriatric depression.

Major depressive disorder (MDD) is a chronic and recurrent mental condition leading to huge impacts on direct and indirect personal and public medical costs. To overcome such a serious mental disorder, we currently have a number of different classes of antidepressants, such as selective serotonin reuptake inhibitors, serotonin-norepinephrine reuptake inhibitors, noradrenergic and specific serotonin receptor antagonists, dopamine and norepinephrine reuptake inhibitors, along with newly introduced antidepressants (e.g., vilazodone and agomelatine). However, a number of well-controlled clinical trials, meta-analyses and practical clinical studies have found that only a third of such MDD patients remit following adequate antidepressant treatment, while most MDD patients suffer from significant core depressive or residual symptoms during their clinical course. There have been some treatment approaches to overcome such a shortage of antidepressant efficacy, such as augmentation of psychotropics other than antidepressants, switching to a different antidepressant and combinations of different antidepressants. Among these different second treatment options, augmentation treatment has some favorable points compared with the combination and switching option (e.g., maintaining previous antidepressant partial response, synergistic effect between different pharmacological profile and no need to wash out previous antidepressants). Recently, second-generation antipsychotics (SGAs), olanzapine plus fluoxetine, quetiapine extended release and aripiprazole have clearly demonstrated efficacy in the treatment of MDD patients through a number of small-scale, open-label studies or randomized, placebo-controlled clinical trials. Eventually, in November 2007, aripiprazole was the first approved by the US FDA as an adjunctive treatment to antidepressants for treating MDD, followed by the approval of quetiapine and olanzapine plus fluoxetine at 2009. This comprehensive review provides an overview of the clinical trial data of SGAs for treating MDD and clinical issues raised in the use of SGA therapy in patients with MDD in clinical practice.

This study aimed to evaluate the psychometric properties of the Korean version of the Clinically Useful Anxiety Outcome Scale (CUXOS) and to examine the current diagnostic comorbidity and differential severity of anxiety symptoms between major depressive disorder (MDD) and anxiety disorders. In total, 838 psychiatric outpatients were analyzed at their intake appointment. Diagnostic characteristics were examined using the structured clinical interview from the DSM-IV because the DSM5 was not available at the start of the study. The CUXOS score was measured and compared with that of 3 clinician rating scales and 4 self-report scales. The CUXOS showed excellent results for internal consistency (Cronbach's α = 0.90), test-retest reliability (r = 0.74), and discriminant and convergent validity. The CUXOS significantly discriminated between different levels of anxiety severity, and the measure was sensitive to change after treatment. Approximately 45% of patients with MDD were additionally diagnosed with anxiety disorders while 55% of patients with anxiety disorders additionally reported an MDD. There was a significant difference in CUXOS scores between diagnostic categories (MDD only, anxiety only, both disorders, and no MDD or anxiety disorder). The CUXOS scores differed significantly between all categories of depression (major, minor, and non-depression) except for the comparison between minor depression and non-depression groups. The Korean version of the CUXOS is a reliable and valid measure of the severity of anxiety symptoms. The use of the CUXOS could broaden the understanding of coexisting and differentiating characteristics of anxiety and depression.

To examine the efficacy of ziprasidone vs. placebo for the depressive mixed state in patients with bipolar disorder type II or major depressive disorder (MDD). 73 patients were randomized in a double-blinded, placebo-controlled study to ziprasidone (40-160 mg/d) or placebo for 6 weeks. They met DSM-IV criteria for a major depressive episode (MDE), while also meeting 2 or 3 (but not more nor less) DSM-IV manic criteria. They did not meet DSM-IV criteria for a mixed or manic episode. Baseline psychotropic drugs were continued unchanged. The primary endpoint measured was Montgomery-Åsberg Depression Rating Scale (MADRS) scores over time. The mean dose of ziprasidone was 129.7±45.3 mg/day and 126.1±47.1 mg/day for placebo. The primary outcome analysis indicated efficacy of ziprasidone versus placebo (p = 0.0038). Efficacy was more pronounced in type II bipolar disorder than in MDD (p = 0.036). Overall ziprasidone was well tolerated, without notable worsening of weight or extrapyramidal symptoms. There was a statistically significant benefit with ziprasidone versus placebo in this first RCT of any medication for the provisional diagnostic concept of the depressive mixed state. Clinicaltrials.gov NCT00490542.

We investigated the effect of a set of SNPs within 5 genes identified by GWASs as possible risk genes for schizophrenia (SCZ) in two independent samples, comprising 176 SCZ patients and 326 controls of Korean origin and 83 SCZ patients and 194 controls of Italian origin. The PANSS was used to assess psychopathology severity and antipsychotic response (AR). Several clinical features were assessed at recruitment. In the Korean sample, the SP4 gene haplotype rs2282888-rs2237304-rs10272006-rs12673091 (p = 0.02) was associated with SCZ. In the Italian sample, PPP3CC rs11780915 (genotypic: p = 0.006; allelic: p = 0.001) and rs2249098 (genotypic: p = 0.0004; allelic: p = 0.00006) were associated with SCZ, as well as the PPP3CC rs11780915-rs10108011-rs2249098 and the ZNF804A rs7603001-rs1344706 haplotypes (p = 0.03 and p = 0.02). Several RORA variants were associated with AR in both the samples, although only the haplotype rs1020729-rs1871858 in the Korean sample survived to the statistical correction (p = 0.01). Exploratory analyses suggested that: (1) PPP3CC, ST8SIA2, and SP4 genes may modulate psychotic symptoms, and (2) RORA and ZNF804A genes may influence AR. Our results partially support a role for these genes in SCZ and AR. Analyses in well phenotyped samples may help to refine the role of the genes identified by GWASs.

Background Mapping metabolic “signatures” can provide new insights into addictive mechanisms and potentially identify biomarkers and therapeutic targets. Objective We examined the differences in metabolites related to the tyrosine, tryptophan, purine, and oxidative stress pathways between cocaine-dependent subjects and healthy controls. Several of these metabolites serve as biological indices underlying the mechanisms of reinforcement, toxicity, and oxidative stress. Methods Metabolomic analysis was performed in 18 DSM-IV-diagnosed cocaine-dependent individuals with at least 2 weeks of abstinence and ten drug-free controls. Plasma concentrations of 37 known metabolites were analyzed and compared using a liquid chromatography electrochemical array platform. Multivariate analyses were used to study the relationship between severity of drug use [Addiction Severity Index (ASI) scores] and biological measures. Results Cocaine subjects showed significantly higher levels of n -methylserotonin ( p  < 0.0017) and guanine ( p  < 0.0031) and lower concentrations of hypoxanthine ( p  < 0.0002), anthranilate ( p  < 0.0024), and xanthine ( p  < 0.012), compared to controls. Multivariate analyses showed that a combination of n -methylserotonin and xanthine contributed to 73% of the variance in predicting the ASI scores ( p  < 0.0001). Logistic regression showed that a model combining n -methylserotonin, xanthine, xanthosine, and guanine differentiated cocaine and control groups with no overlap. Conclusions Alterations in the methylation processes in the serotonin pathways and purine metabolism seem to be associated with chronic exposure to cocaine. Given the preliminary nature and cross-sectional design of the study, the findings need to be confirmed in larger samples of cocaine-dependent subjects, preferably in a longitudinal design.