Association of lipids and inflammatory markers with left ventricular wall thickness in patients with bipolar disorder.

BACKGROUND: Individuals with bipolar disorder (BD) face a high risk of heart failure and left ventricular (LV) dysfunction. Despite strong evidence that high LV relative wall thickness (RWT) is a risk marker for heart failure, few studies have evaluated LV RWT and aggravating factors in individuals with BD. METHODS: We recruited 104 participants (52 patients with BD and 52 age- and sex-matched mentally healthy controls) to undergo echocardiographic imaging and biochemistry, high-sensitivity C-reactive protein (hs-CRP), and blood cell count measurements. LV RWT was estimated using the following equation: (2 × LV posterior wall end-diastolic thickness)/LV end-diastolic diameter. Clinical data were obtained through interviews and chart reviews. RESULTS: The BD group exhibited a significantly greater LV RWT (Cohen's d = 0.53, p = 0.003) and a less favorable mitral valve E/A ratio (Cohen's d = 0.54, p = 0.023) and LV global longitudinal strain (Cohen's d = 0.57, p = 0.047) than did the control group. Multiple linear regression revealed that in the BD group, serum triglyceride levels (ß = 0.466, p = 0.001), platelet-to-lymphocyte ratios (ß = 0.324, p = 0.022), and hs-CRP levels (ß = 0.289, p = 0.043) were all significantly and positively associated with LV RWT. LIMITATIONS: This study applied a cross-sectional design, meaning that the direction of causation could not be inferred. CONCLUSIONS: Patients with BD are at a risk of heart failure, as indicated by their relatively high LV RWT. Lipid levels and systemic inflammation may explain this unfavorable association.

Determining cut-off values and predictors for the Snaith-Hamilton Pleasure Scale: comparison between clinical and school settings.

BACKGROUND: Few previous studies have established Snaith-Hamilton Pleasure Scale (SHAPS) cut-off values using receiver operating characteristic curve analysis and applied these values to compare predictors of anhedonia between clinical and nonclinical groups. AIMS: To determine the optimal cut-off values for the SHAPS and use them to identify predictors of anhedonia in clinical and nonclinical groups in Taiwan. METHOD: This cross-sectional and correlational study used convenience sampling to recruit 160 patients from three hospitals and 412 students from two universities in northern Taiwan. Data analysis included receiver operating characteristic curve, univariate and multivariate analyses. RESULTS: The optimal SHAPS cut-off values were 29.5 and 23.5 for the clinical and nonclinical groups, respectively. Moreover, two-stage analysis revealed that participants in the clinical group who perceived themselves as nondepressed, and participants in the nonclinical group who did not skip classes and whose fathers exhibited higher levels of care and protection were less likely to attain the cut-off values. Conversely, participants in the nonclinical group who reported lower academic satisfaction and were unwilling to seek help from family or friends were more likely to attain the cut-off values. CONCLUSIONS: Our findings highlight the importance of optimal cut-off values in screening for depression risk within clinical and nonclinical groups. Accordingly, the development of comprehensive, individualised programmes to monitor variation trends in SHAPS scores and relevant predictors of anhedonia across different target populations is crucial.

Depression assessment using integrated multi-featured EEG bands deep neural network models: Leveraging ensemble learning techniques.

Mental Status Assessment (MSA) holds significant importance in psychiatry. In recent years, several studies have leveraged Electroencephalogram (EEG) technology to gauge an individual's mental state or level of depression. This study introduces a novel multi-tier ensemble learning approach to integrate multiple EEG bands for conducting mental state or depression assessments. Initially, the EEG signal is divided into eight sub-bands, and then a Long Short-Term Memory (LSTM)-based Deep Neural Network (DNN) model is trained for each band. Subsequently, the integration of multi-band EEG frequency models and the evaluation of mental state or depression level are facilitated through a two-tier ensemble learning approach based on Multiple Linear Regression (MLR). The authors conducted numerous experiments to validate the performance of the proposed method under different evaluation metrics. For clarity and conciseness, the research employs the simplest commercialized one-channel EEG sensor, positioned at FP1, to collect data from 57 subjects (49 depressed and 18 healthy subjects). The obtained results, including an accuracy of 0.897, F1-score of 0.921, precision of 0.935, negative predictive value of 0.829, recall of 0.908, specificity of 0.875, and AUC of 0.8917, provide evidence of the superior performance of the proposed method compared to other ensemble learning techniques. This method not only proves effective but also holds the potential to significantly enhance the accuracy of depression assessment.

Inflammation associated with left ventricular hypertrophy in bipolar disorder: A cross-sectional study.

OBJECTIVE: Inflammation has received increasing attention as a contributor to the pathophysiology of bipolar disorder (BD) and cardiac hypertrophy into heart failure (HF). Accordingly, we chose BD-related inflammatory markers to investigate their relationships with cardiac left ventricular function and structure in BD. METHODS: Sixty physically healthy and euthymic patients with bipolar I disorder were recruited to compare with 50 healthy normal controls. The echocardiography was performed to estimate left ventricular mass index (LVMI) as a parameter of LV hypertrophy (LVH) and left ventricle ejection fraction (LVEF) as a parameter of systolic function. An LVEF above the normal range (>70%) was defined as a hyperdynamic heart. Participants' levels of inflammatory and atherosclerosis-related parameters were measured. RESULTS: Compared with normal controls, BD group had significantly higher rates of LVH (63% vs. 42%) and hyperdynamic heart (32% vs. 2%) and higher mean values of LVMI and LVEF. After adjustment for the effects of BMI and age, multiple regression analyses of BD group showed that the peripheral level of interleukin-8 was positively associated with LVMI and the level of soluble tumor necrosis factor receptor 1 (sTNF-R1) was positively associated with LVEF. CONCLUSIONS: Patients with BD from young adulthood are likely to have LVH with normal LV function and hyperdynamic heart associated with diastolic dysfunction. Low-grade inflammation may underlie the mechanisms of LV hypertrophy and cardiac dysfunction in BD patients.

Using Text Mining and Data Visualization Approaches for Investigating Mental Illness from the Perspective of Traditional Chinese Medicine.

Background and Objectives. Anxiety and depressive disorders are the most prevalent mental disorders, and due to the COVID-19 pandemic, more people are suffering from anxiety and depressive disorders, and a considerable fraction of COVID-19 survivors have a variety of persistent neuropsychiatric problems after the initial infection. Traditional Chinese Medicine (TCM) offers a different perspective on mental disorders from Western biomedicine. Effective management of mental disorders has become an increasing concern in recent decades due to the high social and economic costs involved. This study attempts to express and ontologize the relationships between different mental disorders and physical organs from the perspective of TCM, so as to bridge the gap between the unique terminology used in TCM and a medical professional. Materials and Methods. Natural language processing (NLP) is introduced to quantify the importance of different mental disorder descriptions relative to the five depots and two palaces, stomach and gallbladder, through the classical medical text Huangdi Neijing and construct a mental disorder ontology based on the TCM classic text. Results. The results demonstrate that our proposed framework integrates NLP and data visualization, enabling clinicians to gain insights into mental health, in addition to biomedicine. According to the results of the relationship analysis of mental disorders, depots, palaces, and symptoms, the organ/depot most related to mental disorders is the heart, and the two most important emotion factors associated with mental disorders are anger and worry & think. The mental disorders described in TCM are related to more than one organ (depot/palace). Conclusion. This study complements recent research delving into co-relations or interactions between mental status and other organs and systems.

Cardioprotective potential of lithium and role of fractalkine in euthymic patients with bipolar disorder.

OBJECTIVE: Over a half century, lithium has been used as the first-line medication to treat bipolar disorder. Emerging clinical and laboratory studies suggest that lithium may exhibit cardioprotective effects in addition to neuroprotective actions. Fractalkine (CX3CL1) is a unique chemokine associated with the pathogenesis of mood disorders and cardiovascular diseases. Herein we aimed to ascertain whether lithium treatment is associated with favorable cardiac structure and function in relation to the reduced CX3CL1 among patients with bipolar disorder. METHODS: We recruited 100 euthymic patients with bipolar I disorder aged over 20 years to undergo echocardiographic study and measurement of plasma CX3CL1. Associations between lithium treatment, cardiac structure and function and peripheral CX3CL1 were analyzed according to the cardiovascular risk. The high cardiovascular risk was defined as (1) age ⩾ 45 years in men or ⩾ 55 years in women or (2) presence of concurrent cardiometabolic diseases. RESULTS: In the high cardiovascular risk group (n = 61), patients who received lithium as the maintenance treatment had significantly lower mean values of left ventricular internal diameters at end-diastole (Cohen's d = 0.65, p = 0.001) and end-systole (Cohen's d = 0.60, p = 0.004), higher mean values of mitral valve E/A ratio (Cohen's d = 0.51, p = 0.019) and superior performance of global longitudinal strain (Cohen's d = 0.51, p = 0.037) than those without lithium treatment. In addition, mean plasma levels of CX3CL1 in the high cardiovascular risk group were significantly lower among patients with lithium therapy compared with those without lithium treatment (p = 0.029). Multiple regression models showed that the association between lithium treatment and mitral value E/A ratio was contributed by CX3CL1. CONCLUSION: Data from this largest sample size study of the association between lithium treatment and echocardiographic measures suggest that lithium may protect cardiac structure and function in patients with bipolar disorder. Reduction of CX3CL1 may mediate the cardioprotective effects of lithium.

Sex differences in the associations between psychological symptoms and tumor necrosis factor-alpha levels among obese and nonobese children aged 6-13 in Taiwan.

BACKGROUND: Evidence of associations between psychological symptoms and tumor necrosis factor (TNF)-α level is scant, as is evidence on sex differences in associations for children and adolescents with obesity. This study examined sex differences in associations between psychological symptoms (self-concept, anxiety, depression, anger, and disruptive behavior) and TNF-α level in Taiwanese children and adolescents with healthy weight, overweight, or obesity. METHODS: In 2010, 564 first, fourth, and seventh graders-comprising 250 children with overweight or obesity (44.3 %), 330 adolescents (58.5 %), and 303 males (53.7 %)-underwent a health examination and blood sampling and completed a questionnaire. RESULTS: A significantly higher TNF-α level was found in children and adolescents with healthy weight than in those with overweight or obesity (median: 14.5 vs. 4.1 (pg/mL); p < 0.001). In multiple linear regression models, anxiety was significantly positively associated with TNF-α level in female participants with healthy weight (ß = 0.11 per 10 increments in anxiety, 95 % confidence interval = 0.01-0.22). LIMITATIONS: Given the cross-sectional nature of the study, no inferences of causal relationships among TNF-α level, obesity, and psychological symptoms could be made. CONCLUSIONS: The findings enrich the literature on the TNF-α-psychological symptom association. Sex differences were found in children and adolescents without obesity rather than in those without obesity, and a higher TNF-α level was associated with increased anxiety in girls without obesity. The role of sex differences in the complex associations among psychological symptoms, TNF-α level, and overweight or obesity requires further investigation.

Antidepressant sertraline increases thioflavin-S and Congo red deposition in APPswe/PSEN1dE9 transgenic mice.

Introduction: Depression is strongly associated with Alzheimer's disease (AD). Antidepressants are commonly used in patients before and after their diagnosis of AD. To date, the relationship between antidepressants and AD remains unclear. Methods: In our study, we administered sertraline or paroxetine to wild type (WT) and APPswe/PSEN1dE9 (APP/PSEN1) transgenic mouse models for up to 12 months. We quantified the drug concentrations using LC-MS/MS analysis and measured serum serotonin level using an ELISA assay. Additionally, we evaluated the amyloid burdens through thioflavin-S and Congo red stainings, and recognition memory using the novel object recognition test. Results: Our findings revealed that mice treated with paroxetine exhibited a significantly higher level of weight gain compared to the control group and increased mortality in APP/PSEN1 mice. After 12 months of antidepressant treatment, the sertraline level was measured at 289.8 ng/g for cerebellum, while the paroxetine level was 792.9 ng/g for cerebellum. Sertraline significantly increased thioflavin-S and Congo red depositions, along with gliosis, in both isocortex and hippocampus of APP/PSEN1 mice compared to the control group. Both antidepressants also led to a decreased recognition index in APP/PSEN1 mice. Conclusion: These findings suggest a potential role of sertraline in AD pathogenesis, emphasizing the need to reassess the use of these antidepressants in patients with AD.

Genomic-Analysis-Oriented Drug Repurposing in the Search for Novel Antidepressants.

From inadequate prior antidepressants that targeted monoamine neurotransmitter systems emerged the discovery of alternative drugs for depression. For instance, drugs targeted interleukin 6 receptor (IL6R) in inflammatory system. Genomic analysis-based drug repurposing using single nucleotide polymorphism (SNP) inclined a promising method for several diseases. However, none of the diseases was depression. Thus, we aimed to identify drug repurposing candidates for depression treatment by adopting a genomic-analysis-based approach. The 5885 SNPs obtained from the machine learning approach were annotated using HaploReg v4.1. Five sets of functional annotations were applied to determine the depression risk genes. The STRING database was used to expand the target genes and identify drug candidates from the DrugBank database. We validated the findings using the ClinicalTrial.gov and PubMed databases. Seven genes were observed to be strongly associated with depression (functional annotation score = 4). Interestingly, IL6R was auspicious as a target gene according to the validation outcome. We identified 20 drugs that were undergoing preclinical studies or clinical trials for depression. In addition, we identified sarilumab and satralizumab as drugs that exhibit strong potential for use in the treatment of depression. Our findings indicate that a genomic-analysis-based approach can facilitate the discovery of drugs that can be repurposed for treating depression.

Comparing continuous and harmonized measures of depression severity in older adults with bipolar disorder: Relationship to functioning.

OBJECTIVE: Harmonizing different depression severity scales often requires creation of categorical variables that may decrease the sensitivity of the measure. Our aim was to compare the associations between categorical and continuous and harmonized measures of depression and global functioning in a large dataset of older age patients with bipolar disorder (OABD). METHOD: In the Global Aging & Geriatric Experiments in Bipolar Disorder Database (GAGE-BD) the 17-item Hamilton Depression scale (HAM-D), Montgomery Asberg Depression Rating Scale (MADRS) or the Center for Epidemiological Studies Depression scales (CES-D) was used to assess current depressive symptoms, while the Global Assessment of Functioning (GAF) assessed functional status. Data were harmonized from 8 OABD studies (n = 582). In each subsample, the relationship of depression severity as a continuous and categorical measure was compared to GAF. In the total sample, harmonized ordinal depression categories were compared to GAF. RESULTS: Effect size and variance explained by the model for the categorical measure in the total sample was higher than both the categorical and continuous measure in the CES-D subsample, higher than the categorical but lower than the continuous measure in the HAM-D subsample, and lower than both the categorical and continuous measures in the MADRS subsample. LIMITATIONS: All included studies have different inclusion and exclusion criteria, study designs, and differ in aspects of sociodemographic variables. CONCLUSIONS: Associations were only slightly larger for the continuous vs categorical measures of depression scales. Harmonizing different depression scales into ordinal categories for analyses is feasible without losing statistical power.

Lithium exposure and chronic inflammation with activated macrophages and monocytes associated with atherosclerosis in bipolar disorder.

BACKGROUND: Atherosclerosis accounts for cardiovascular diseases (CVDs). This study aimed to explore the association between carotid intima-media thickness (CIMT), psycho-pharmacotherapy, and inflammatory markers along with other molecules related to atherosclerosis in bipolar disorder (BD). METHODS: The euthymic patients with bipolar I disorder (BD-I) aged over 20 years were recruited to measure CIMT through ultrasound and the blood levels of lipid profiles, soluble tumor necrosis factor receptor-1 (sTNF-R1), soluble interleukin-6 receptor (sIL-6R), monocyte chemoattractant protein-1, chitinase 3-like 1, endothelial adhesive proteins, and thrombin-antithrombin complex. RESULTS: Participants were 103 BD-I patients with mean 44.3 years old. The ratio of lithium exposure in relation to illness chronicity and the current daily dosage of lithium therapy exhibited an inverse relationship with CIMT in the entire sample. After controlling for age and BMI, multivariate regression indicated that a higher lithium level was significantly associated with decreased CIMT in the entire sample, high-risk (those with CVDs or endocrine diseases, N = 48), middle-risk (those without CVDs and endocrine diseases, N = 55), and low-risk (those aged <45 years in the middle-risk subgroup, N = 43) subgroups. Furthermore, higher levels of sTNF-R1 in the entire sample and high-risk subgroup and sIL-6R in the middle- and low-risk subgroups were statistically associated with greater CIMT. LIMITATION: The age range was too wide to control for the effect of age on CIMT and medication. CONCLUSIONS: Lithium exposure may be a protective factor for atherosclerosis progression in BD-I. The chronic inflammation in BD-I with activated macrophages and monocytes may link with the atherosclerosis development over time.

Echocardiographic study of cardiac structure and function in people with bipolar disorder after midlife.

BACKGROUND: Heart failure is the leading cause of mortality in older people with bipolar disorder (BD). Studies examining cardiac structure and function in middle-aged patients with BD by using echocardiography and cardiac strain imaging are scant. METHODS: We recruited 48 patients with bipolar I disorder (BD-I) older than 45 years to undergo conventional and tissue speckle tracking echocardiography. Data of 31 mentally healthy adults older than 45 years were randomly retrieved from the echocardiographic dataset and compared with the data of BD patients. RESULTS: Patients with BD-I had significantly higher mean values of interventricular septal thickness (Cohen's d = 0.83, p = 0.001) and left ventricular internal diameter (Cohen's d = 0.90, p = 0.001) at end-diastole relative to controls. Additionally, BD-I patients exhibited significantly lower mean values of mitral valve E/A ratio (Cohen's d = 0.67, p = 0.007) and a more reduced global longitudinal strain (Cohen's d = 0.72, p = 0.029) than controls. Multiple linear regression revealed that body mass index was negatively correlated with the mitral valve E/A ratio (adjustment R2 = 0.363, p = 0.043) in patients with BD-I. LIMITATIONS: A relatively small sample size may limit generalization. CONCLUSIONS: After midlife, BD patients exhibit cardiac diastolic (low mitral valve E/A ratio) and systolic (reduced global longitudinal strain) dysfunction. High body mass index may play a role in the unfavorable cardiac function in aging patients with BD.

Peripheral inflammatory markers associated with brain volume reduction in patients with bipolar I disorder.

BACKGROUND: Neuroinflammation and brain structural abnormalities are found in bipolar disorder (BD). Elevated levels of cytokines and chemokines have been detected in the serum and cerebrospinal fluid of patients with BD. This study investigated the association between peripheral inflammatory markers and brain subregion volumes in BD patients. METHODS: Euthymic patients with bipolar I disorder (BD-I) aged 20-45 years underwent whole-brain magnetic resonance imaging. Plasma levels of monocyte chemoattractant protein-1 (MCP-1), chitinase-3-like protein 1 (also known as YKL-40), fractalkine (FKN), soluble tumour necrosis factor receptor-1 (sTNF-R1), interleukin-1ß, and transforming growth factor-ß1 were measured on the day of neuroimaging. Clinical data were obtained from medical records and interviewing patients and reliable others. RESULTS: We recruited 31 patients with a mean age of 29.5 years. In multivariate regression analysis, plasma level YKL-40, a chemokine, was the most common inflammatory marker among these measurements displaying significantly negative association with the volume of various brain subareas across the frontal, temporal, and parietal lobes. Higher YKL-40 and sTNF-R1 levels were both significantly associated with lower volumes of the left anterior cingulum, left frontal lobe, right superior temporal gyrus, and supramarginal gyrus. A greater number of total lifetime mood episodes were also associated with smaller volumes of the right caudate nucleus and bilateral frontal lobes. CONCLUSIONS: The volume of brain regions known to be relevant to BD-I may be diminished in relation to higher plasma level of YKL-40, sTNF-R1, and more lifetime mood episodes. Macrophage and macrophage-like cells may be involved in brain volume reduction among BD-I patients.

A nationwide study of the risk of all-cause, sudden death, and cardiovascular mortality among antipsychotic-treated patients with schizophrenia in Taiwan.

INTRODUCTION: Studies have reported higher risks of mortality for patients with schizophrenia, compared to the general population. This study aimed to evaluate the risk of all-cause, sudden death, and cardiovascular mortality among patients with schizophrenia in terms of types of antipsychotics. METHODS: A retrospective cohort study assessed the risk of mortality among antipsychotic-treated patients with schizophrenia. The study linked the Taiwan National Health Insurance (NHI) claims and National Register of Death databases from 2001 to 2015. Patients were hierarchically assigned to the following index antipsychotic treatment groups: atypical long acting injection (LAI), typical LAI, atypical oral, and typical oral. RESULTS: A total of 68,159 antipsychotic-treated patients with schizophrenia were analyzed. Under the hierarchical grouping, the largest percentages of patients were on atypical oral antipsychotic regimens (65.51%), followed by typical oral (14.00%), typical LAI (12.84%), and atypical LAI (7.65%). Typical oral patients had the highest incidence of all-cause mortality of 27.48 per 1000 patient-years and the atypical LAI group had the lowest incidence (13.95 per 1000 patient-years). Compared to typical oral users, there were lower risks of all-cause mortality for users of atypical LAI (aHR = 0.62, 95% CI: 0.47-0.81), typical LAI (aHR = 0.65, 95% CI: 0.55-0.78), and atypical orals (aHR = 0.55, 95% CI: 0.49-0.62). CONCLUSION: Compared to typical oral users, we found a lower risk of all-cause mortality, sudden death, and cardiovascular mortality among schizophrenia users of LAIs and oral atypicals. Further research is warranted to characterize the risk of mortality among users of more recently available LAIs in the Asia Pacific region and elsewhere.

Higher body mass index associated with smaller frontal cortical volumes in older adult patients with bipolar disorder

Background and objectives: Patients with bipolar disorder (BD) tend to have accelerated decline in executive function during the aging. Thus far, only few studies have examined the effect of obesity on frontal cortical volumes in young patients with BD. Herein we aimed to ascertain the association between body mass index (BMI) and frontal cortical volumes in older adult patients with BD.MethodsWe recruited outpatients who were diagnosed as bipolar I disorder (BD-I) and aged over 50 years to undergo volumetric magnetic resonance imaging and anthropometric measurement. Clinical data were obtained through interview and chart review.ResultsA total of 42 patients (mean age, 59.5 ± 7.9 years) with BD-I were recruited in this study. Compared with normal BMI group, overweight/obese patients (59.5%, n = 25) had significantly smaller volumes of the bilateral prefrontal cortex and right orbitofrontal cortex. After adjusting cardiometabolic variables, higher BMI and age were significantly associated with smaller volumes of the left prefrontal cortex and bilateral orbitofrontal cortex, accounting for 29.8% (left prefrontal cortex), 33.1% (left orbitofrontal cortex), and 42.0% (right orbitofrontal cortex) of the variance. BMI alone was negatively associated with the volumes of the right prefrontal and right medial frontal cortexes, accounting for 25.7% and 14.7% of the variance, respectively.ConclusionsHigher BMI was associated with smaller cortical volumes across individual frontal regions in older patients with BD independent of cardiometabolic morbidity. Future research is necessary to elucidate the mechanisms underlying the association between BMI and frontal cortical volumes in older patients with BD. (AU)

Effect of repetitive transcranial magnetic stimulation on depression and cognition in individuals with traumatic brain injury: a systematic review and meta-analysis.

Repetitive transcranial magnetic stimulation (rTMS) is an FDA-approved therapy in major depressive disorder. However, its treatment efficacy on depression after traumatic brain injury (TBI) remains inconclusive. We conducted a meta-analysis to assess the effectiveness of executing rTMS over dorsolateral prefrontal cortex (DLPFC) on depression, cognitive impairment and post-concussion syndrome in individuals with traumatic brain injury. This study contained seven randomized controlled trials that published before April 5, 2020 in PubMed, Embase, Scopus, Cochrane, and Web of Science databases. The rTMS had significant anti-depressant effect (SMD = 1.03, p = 0.02), but the effects dissipated at 1-month follow-up (SMD = 0.39, p = 0.62). In the subgroup analysis, only applying rTMS to left DLPFC area of post-TBI patients showed significant anti-depressant effect (SMD = 0.98, p = 0.04). Moreover, current data observed that rTMS on post-TBI patients possessed substantial improvement in visuospatial memory (SMD = 0.39, p < 0.0001), but wasn't in processing speed (SMD = - 0.18, p = 0.32) and selective attention (SMD = 0.21, p = 0.31). In addition, the effect of rTMS is not superior to sham on postconcussion syndrome. In conclusion, the short-term antidepressant effect of left DLPFC rTMS in patients with TBI was significant. However, the effectiveness of rTMS on cognition and postconcussion syndrome in patients with post-TBI depression was limited.

Roles of sedative-hypnotics in patients with recurrent major depressive disorder: a nationwide population-based 14-year follow-up study in Taiwan.

BACKGROUND: The use of sedatives or hypnotics and the recurrence of depression have not been adequately explored. This study investigated the roles of sedative-hypnotics in patients with major depressive disorder (MDD). Various characteristics of sedative-hypnotic use were tested as risk factors for recurrence. METHODS: Clinical records of 15,510 patients with major depressive disorder who prescribed selective serotonin reuptake inhibitors (SSR) during 1997-2009 were collected from the National Health Insurance Research Database (NHIRD). Cox proportional hazard regression models were used to analyze factors related to depression recurrence. RESULTS: The risk of MDD recurrence was lower for patients using SED/HYP with an indication of both anxiolytics and hypnotics (AHR = 0.66; 95% CI = 0.59-0.72) than for those using SED/HYP with an indication of anxiolytics only. AHR was slightly greater in current users than in recent users (AHR = 0.77; 95% CI = 0.72-0.83) and past users (AHR = 0.70; 95% CI = 0.67-0.74). There was a higher AHR of MDD recurrence in patients who used SED/HYP over 1 DDD in 1 month than those who used SED/HYP less than 1 DDD in 1 month, with the highest-dose users having the highest risk of MDD recurrence (AHR = 7.91; 95% CI = 6.86-9.11). CONCLUSIONS: Patterns and characteristics of sedative-hypnotic use may affect depression recurrence. These findings should be considered by clinicians when combining sedative-hypnotics with antidepressant treatment.