Chinese Major Depressive Disorder Patients Research Articles

Latent classes of symptom trajectories among major depressive disorder patients in China

ObjectiveThis study aimed to understand the long-term symptom trajectories of Chinese patients with major depressive disorder (MDD) using piecewise latent growth modeling and growth mixture modeling. The investigation also aimed to identify the baseline characteristics indicative of poorer treatment outcomes. MethodsA total of 558 outpatients with MDD were assessed using a sequence of surveys. The Hamilton Rating Scale for Depression (HRSD), Hamilton Anxiety Rating Scale (HAMA), and Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery (MCCB) were used to evaluate baseline depression, anxiety, and cognitive function. Depression symptom severity was subsequently measured at the 1-month, 2-month, 6-month, 1-year, and 2-year follow-ups. ResultsResults indicated three depressive symptomology trajectories, including (a) severe, improving class (12.72 %), (b) partially responding, later deteriorating class (6.09 %), and (c) moderate, improving class (81.18 %). Logistic regression analyses showed that a history of cardiovascular disease (CVD) increased the odds of belonging to the partially responding, later deteriorating class, whereas higher baseline depression increased the odds of belonging to the severe, improving class compared to the moderate, improving class. Patients who experienced less depression relief during the first month of treatment had a lower probability of belonging to the moderate, improving class. LimitationsParticipant attrition in this study may have inflated the estimated rate of treatment-resistant patients. ConclusionsThe burden of CVD and poorer initial treatment response are plausible risk factors for poorer treatment outcomes, highlighting targets for intervention in Chinese MDD patients.

The FXR mediated anti-depression effect of CDCA underpinned its therapeutic potentiation for MDD.

Emerging evidence from animal and human studies has suggested that small microbial metabolites generated in the gut influence host mood and behavior. Our previous study reported that patients with major depressive disorder (MDD) reduced the abundance of genera Blautia and Eubacterium, the microbials critically regulating cholesterol and bile acid metabolism in the gut. In this study, we further demonstrated that the levels of plasma bile acid chenodeoxycholic acid (CDCA) were significantly lower in Chinese MDD patients (142) than in healthy subjects (148). Such low levels of plasma CDCA in MDD patients were rescued in remitters but not in nonremitters following antidepressant treatment. In a parallel animal study, Chronic Social Defeat Stress (CSDS) depressed mice reduced the plasma CDCA and expression level in prefrontal cortex (PFC) of bile acid receptor (FXR) protein, which is a ligand-activated transcription factor and a member of the nuclear receptor superfamily. We found that CDCA treatment restored the level of FXR in the CSDS mice, suggesting the involvement of bile acid receptors in MDD. We observed that CDCA decreased the activity of the NLRP3 inflammasome and caspase-1 and subsequently increased the levels of phosphorylation and expression of PFC glutamate receptors (GluA1) in the PFC. In addition, CDCA showed antidepressant effects in the tests of sucrose preference, tail suspension, and forced swimming in CSDS mouse model of depression. Finally, in agreement with this idea, blocking these receptors by a FXR antagonist GS abolished CDCA-induced antidepressant effect. Moreover, CDCA treatment rescued the increase of IL-1β, IL-6, TNF α and IL-17, which also were blocked by GS. These results suggest that CDCA is a biomarker and target potentially important for the diagnosis and treatment of MDD.

Define and characterize the anhedonia in major depressive disorder: An explorative study

BackgroundAlthough anhedonia is a key symptom of major depressive disorder (MDD), there is neither a concise nor effective method to distinguish and define anhedonia in MDD. The current study attempts to answer two questions based on validating the Dimensional Anhedonia Rating Scale (DARS) in Chinese MDD patients: 1) whether anhedonia subgroup can be identified? 2) whether patients with anhedonia display unique psychosocial and clinical features? MethodsIn the discovery sample, 533 MDD patients and 124 healthy controls were recruited into a multicenter study. For replication, a further 112 first-episode, drug-naïve MDD patients were recruited. Latent profile analysis (LPA) was used to identify the latent subgroups based on their hedonic function measured by the DARS. According to the categorization, ROC curves were applied to find the cut-off value. Lasso regression was performed to characterize psychological and clinical features linked to anhedonia. ResultsThe data-driven approach identified and validated the anhedonia subgroup, and proposed that the cut-off value for distinguishing anhedonia was 28.5 based on the total score of DARS. Lasso regression demonstrated that melancholia, lower levels of positive affect and education, more severe depressive symptoms, older age were associated with anhedonia in MDD patients. ConclusionThis study used a data-driven approach to propose a new and convenient method for distinguishing the anhedonia of MDD patients with unique psychological and clinical features. Identifying the subtype may contribute to pinpointing more specific biomarkers in shedding light on the mechanisms of anhedonia in MDD.Trial registration: TNDTAD study, NCT03294525; TOSD study, NCT03148522

One-year incidence rate of Treatment Resistant Depression (TRD) and treatment characteristics in China

BackgroundLittle is known about the characteristics of Treatment-Resistant Depression (TRD) in China. In previous studies various identification approaches have led to a wide range of results, and it is unclear how Chinese patients compare to those in other studies. MethodsThis is a retrospective cohort study using electronic health records (EHR) from two major psychiatric hospitals in China. Adult major depressive disorder (MDD) patients who initiated pharmaceutical treatment during 2010–2018 were enrolled and follow-up was 1 year. TRD was primarily identified by consensus definition of two failures of adequate (≥4 weeks) regimens. Alternative regimens of 2-weeks and 6-weeks duration, and a data-driven definition were also applied. ResultsIn the two hospitals, 12,257 (mean age: 40.8y, 63.6% female) and 8314 (mean age: 42.4y, 68.4% female) eligible patients were included. The 1-year incidence rate of TRD was estimated to be 5.2%–7.7% using the primary definition. TRD patients had mean treatment duration of 302.5 days and 285.7 days; had 3.6 and 3.7 treatment steps on average; 94.0% and 72.6% were prescribed polypharmacy regimens, which were all marginally greater than that of non-TRD patients. Alternative definitions resulted in a wide range of incidence estimates (0.5%–20.0%). LimitationsMedications were assumed to be consumed as prescribed and lack of rating scales from EHRs may limit our TRD identification. ConclusionsThe incidence of TRD among Chinese MDD patients was comparable to other countries under similar settings and more complex treatment characteristics were observed among TRD patients. Alternative TRD definitions revealed the need for better treatment management in practices.

Incidence Trends and Risk Prediction Nomogram for Suicidal Attempts in Patients With Major Depressive Disorder

Background: Major depressive disorder (MDD) is often associated with suicidal attempt (SA). Therefore, predicting the risk factors of SA would improve clinical interventions, research, and treatment for MDD patients. This study aimed to create a nomogram model which predicted correlates of SA in patients with MDD within the Chinese population.Method: A cross-sectional survey among 474 patients was analyzed. All subjects met the diagnostic criteria of MDD according to the International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10). Multi-factor logistic regression analysis was used to explore demographic information and clinical characteristics associated with SA. A nomogram was further used to predict the risk of SA. Bootstrap re-sampling was used to internally validate the final model. Integrated Discrimination Improvement (IDI) and Akaike Information Criteria (AIC) were used to evaluate the capability of discrimination and calibration, respectively. Decision Curve Analysis (DCA) and the Receiver Operating Characteristic (ROC) curve was also used to evaluate the accuracy of the prediction model.Result: Multivariable logistic regression analysis showed that being married (OR = 0.473, 95% CI: 0.240 and 0.930) and a higher level of education (OR = 0.603, 95% CI: 0.464 and 0.784) decreased the risk of the SA. The higher number of episodes of depression (OR = 1.854, 95% CI: 1.040 and 3.303) increased the risk of SA in the model. The C-index of the nomogram was 0.715, with the internal (bootstrap) validation sets was 0.703. The Hosmer–Lemeshow test yielded a P-value of 0.33, suggesting a good fit of the prediction nomogram in the validation set.Conclusion: Our findings indicate that the demographic information and clinical characteristics of SA can be used in a nomogram to predict the risk of SA in Chinese MDD patients.

Prevalence and risk factors of overweight and obesity in Chinese patients with first-episode drug-naïve major depressive disorder

BackgroundsObesity and overweight are common in patients with major depressive disorder (MDD); the results are inconsistent due to confounding variables involved in studies. Furthermore, no well-designed study has been published to investigate the prevalence, risk factors and underlying mechanisms of obesity/overweight in Chinese MDD patients. This study aimed to investigate the prevalence of obesity/overweight and related risk factors in first-episode, drug-naïve (FEDN) patients with MDD in China. MethodsA total of 1718 patients were recruited. Their clinical and anthropometric data, thyroid function and biochemical parameters were collected. All patients were evaluated on the 17-item Hamilton Rating Scale for Depression, 14-item Hamilton Anxiety Rating Scale and the Positive and Negative Syndrome Scale. ResultsThe prevalence of obesity and overweight was 3.73% and 56.00%, respectively. Multivariable logistic regression analysis showed that TSH was the only independent risk factor for weight gain in MDD patents. The fitting curve of the relationship between TSH and BMI formed an inverted U-shaped parabola. The ordinal logit mode showed that when TSH<=2.68 was set as a reference, the odd rates of weight increased with the increase of TSH, and the highest rate was 3.929 (95%CI: 2.879–5.361, P<0.0001). LimitationCausality cannot be drawn due to cross-sectional design. ConclusionOur results suggest that overweight is very common among patients with FEDN MDD rather than obesity. TSH is a promising predictor and potential biomarker of high weight in MDD patients, and there is an inverted U-shaped parabolic relationship between TSH and BMI.

Influence of genetic polymorphisms in homocysteine and lipid metabolism systems on antidepressant drug response

BackgroundVariation in genes implicated in homocysteine and lipid metabolism systems may influence antidepressant response for patients with major depressive disorder (MDD). This study aimed to investigate whether association of polymorphisms on the MTHFR, ApoE and ApoA4 genes with the treatment response in MDD subjects.MethodsA total of 281 Han Chinese MDD patients received a single antidepressant drug (SSRI or SNRI) for at least 6 weeks, among whom 275 were followed up for 8 weeks. Their response to 6 weeks’ treatment and remission to 8 weeks’ treatment with antidepressant drugs was determined by changes in the 17-item Hamilton Depression Rating Scale (HARS-17) score. Single SNP and haplotype associations with treatment response were analyzed by UNPHASED 3.0.13. Logistic regression analysis was used to explore the interactions between genotypes and gender or drug type on treatment outcome, only those SNPs that had interactional association with gender or drug type were subjected to further stratified analysis.ResultsIn total group, the haplotype (C-A) in MTHFR (rsl801133 and rs1801131) and the ApoE rs405509 AA genotype were significantly associated with better efficacy of antidepressants; In gender subgroups, only haplotype (C-A) in MTHFR (rsl801133 and rs1801131) was significantly associated with better efficacy of antidepressants in male subgroup; In drug type subgroup, the haplotype (C-A) in MTHFR (rsl801133 and rs1801131) and haplotype (G-C) in ApoE (rs7412 and rs405509) were associated with better efficacy of antidepressants in SNRI treated subgroup; The ApoA4 rs5092 G allele and GG genotype were associated with worse efficacy of antidepressants in SNRI treated subgroup.ConclusionsGenetic polymorphisms in homocysteine and lipid metabolism systems are associated with antidepressant response, particularly for the interactions of the certain genetic with gender or drug type.

Brain-derived Neurotrophic Factors Val66Met and C270T Polymorphisms Influence Citalopram/Escitalopram Response in Chinese Patients with Major Depressive Disorder

The aim of this study was to investigate the association between two brain-derived neurotrophic factor polymorphisms (Val66Met and C270T) and response to citalopram/escitalopram treatment. Chinese patients who met diagnostic and Statistical Manual of Mental Disorders criteria for major depressive disorder (n=180) were prescribed citalopram/escitalopram for 6 weeks. Depression severity was evaluated using the 17-item Hamilton rating scale for depression at baseline and week 2, 4, and 6 of treatment. The expression quantitative trait loci analysis was performed to investigate the functional effect of Val66Met and C270T on brain-derived neurotrophic factor expression in the brain and blood. A significant difference was found in genotype (χ2=6.979, p=0.031, correction p=0.062) but not allele (p>0.05) frequencies of Val66Met between responders and non-responders. Homozygous GG showed a higher response than other two genotypes (χ2=5.218, p=0.022, correction p=0.044). In addition, the C allele and CC genotype of C270T were significantly related to higher remission over 6 weeks among females (C/T, p=0.027, correction p=0.054; CC/TT, p=0.023, correction p=0.046) and first-episode major depressive disorder patients (C/T, p=0.023, correction p=0.046; CC/TT, χ2= 6.870, p=0.009, correction p=0.018). Further expression quantitative trait loci analysis showed that Val66Met and C270T have functional effect on brain-derived neurotrophic factor expression in the brain. Brain-derived neurotrophic factor Val66Met and C270T polymorphisms were associated with therapeutic response to citalopram/escitalopram in Chinese major depressive disorder patients.

Analysis of the association of &lt;em&gt;MIR124-1&lt;/em&gt; and its target gene &lt;em&gt;RGS4&lt;/em&gt; polymorphisms with major depressive disorder and antidepressant response

BackgroundIncreasing evidence has indicated that dysfunction of miR-124 and target gene regulator of G protein signaling 4 (RGS4) may be involved in the etiology and treatment of major depressive disorder (MDD). However, the molecular mechanisms are not fully understood. This study aimed to investigate whether common genetic variations in these two genes are associated with MDD and therapeutic response to antidepressants in the Chinese population.MethodsThree polymorphisms including rs531564 (a functional single-nucleotide polymorphism [SNP] in MIR124-1), rs10759 (a microRNA-binding site SNP in RGS4), and rs951436 (a promoter SNP in RGS4) were genotyped in 225 Chinese MDD patients and 436 controls. Among the MDD patients, 147 accepted antidepressant treatment for 8 weeks with therapeutic evaluation at baseline, week 2, week 4, week 6, and week 8 using the 17-item Hamilton Rating Scale for Depression. Multifactor dimensionality reduction (MDR) was used to identify gene–gene interactions.ResultsNo significant association with MDD was discovered in single-SNP analyses. However, by MDR analysis, the three-locus model of gene–gene interaction was the best for predicting MDD risk. In pharmacogenetic study, a significant association was found in genotypic frequencies of rs951436 between the remitter and non-remitter groups (p=0.026, correction p=0.078). For further analysis, the rs951436 heterozygote carriers had threefold probabilities of achieving clinical complete remission (odds ratio =3.00, 95% confidence interval =1.33–6.76, p=0.007, correction p=0.021) as compared with rs951436 homozygotes (AA+CC) after 8 weeks of treatment.ConclusionAn interaction effect of MIR124-1 and RGS4 polymorphisms may play a more important role than individual factors for MDD development. Moreover, RGS4 gene polymorphisms may be associated with antidepressant response among the Han population.

Comorbid generalized anxiety disorder and its association with quality of life in patients with major depressive disorder

The comorbidity of major depressive disorder (MDD) and generalized anxiety disorder (GAD) is common and often predicts poorer outcomes than either disorder alone. This study aimed to examine the prevalence of comorbid GAD and its association with quality of life (QOL) among MDD patients. A total of 1225 psychiatric outpatients were screened using the Hospital Anxiety and Depression Scale (HADS). Those who scored ≥8 on the HADS were interviewed using DSM-IV criteria by two senior psychiatrists. Patients diagnosed with MDD were further assessed using the 9-item Patient Health Questionnaire, Social Support Rating Scale, Pittsburgh Sleep Quality Index, and World Health Organization QOL Scale, brief version (WHOQOL-BREF). Ultimately, 667 patients were diagnosed with MDD, of 71.7% of whom had GAD. Compared to those with MDD alone, comorbid patients had lower scores on the physical (38.64 ± 10.35 vs.36.54 ± 12.32, P = 0.026) and psychological (35.54 ± 12.98 vs. 30.61 ± 14.66, P < 0.001) domains of the WHOQOL-BREF. The association between comorbid GAD and poor QOL on the two domains remained statistically significant in the multiple linear regression (unstandardized coefficients: −1.97 and −4.65, P < 0.001). In conclusion, the prevalence of comorbid GAD in MDD patients is high, and co-occurring GAD may exacerbate impaired physical and psychological QOL in Chinese MDD patients.

Prescribing patterns of psychotropic medications and clinical features in patients with major depressive disorder with and without comorbid dysthymia in China.

Little has been reported about the demographic and clinical features of major depressive disorder (MDD) with comorbid dysthymia in Chinese patients. This study examined the frequency of comorbid dysthymia in Chinese MDD patients together with the demographic and clinical correlates and prescribing patterns of psychotropic drugs. Consecutively collected sample of 1178 patients with MDD were examined in 13 major psychiatric hospitals in China. Patients' demographic and clinical characteristics and psychotropic drugs prescriptions were recorded using a standardized protocol and data collection procedure. The diagnosis of dysthymia was established using the Mini International Neuropsychiatric Interview. Medications ascertained included antidepressants, antipsychotics, benzodiazepines, and mood stabilizers. One hundred and three (8.7%) patients fulfilled criteria for dysthymia. In multiple logistic regression analyses, compared to non-dysthymia counterparts, MDD patients with dysthymia had more depressive episodes with atypical features including increased appetite, sleep, and weight gain, more frequent lifetime depressive episodes, and less likelihood of family history of psychiatric disorders. There was no significant difference in the pattern of psychotropic prescription between the 2 groups. There are important differences in the demographic and clinical features of comorbid dysthymia in Chinese MDD patients compared with previous reports. The clinical profile found in this study has implications for treatment decisions.

Catecholamine pathway polymorphisms and antidepressant response.

Genes that regulate the catecholamine metabolism pathways are potential targets for research in the antidepressant treatment response. This study was intended to determine whether antidepressant responses to selective serotonin reuptake inhibitors (SSRIs) are associated with genetic polymorphisms of the tyrosine or tryptophan gene in Chinese major depressive disorder (MDD) patients. A total of 290 MDD patients were recruited and received a 6-week SSRIs randomized double-blinded treatment. Allele, genotype, and haplotype frequencies were compared between responders and nonresponders in catecholamine genes. Genotype frequency of the rs1800544 polymorphism in the DRD4 gene was significantly different between responders and nonresponders after false discovery rate correction (P = 0.042). The frequency of the DRD4 rs1800544 CG genotype was significantly higher (P = 0.003) in responders (51.4%) than in nonresponders (35.8%), and patients with the CG genotype showed an 81.7% response rate. In comparison, the response rates were 73.9% and 52.2% in patients with the GG genotype and the CC genotype, respectively. The frequencies of the DRD4 rs1800544 CC and GG genotypes were significantly lower (P = 0.003) in responders (7.7%, 40.9%) than in the nonresponders (19.4%, 44.8%). No significant difference was found between two groups either in genotype or allele frequencies of single nucleotide polymorphisms in the TPH, SLC6A2, SLC6A3, or DRD2 genes. No significant difference was found between two groups in TPH, SLC6A2, SLC6A3, DRD2, orDRD4 gene haplotypes. Polymorphisms of the DRD4 gene appear to be associated with SSRI treatment response in Chinese MDD patients.

565 – Abnormality of white matter structure and resting state brain function in first-episode, treatment-naive patients with major depressive disorder

Introduction Increasing evidence indicates that major depressive disorder (MDD) is associated with cognitive as well as mood disturbances. Objectives To evaluate cognitive function and white matter structure, resting-state brain function in first-episode, treatmentnaive patients with MDD. Aims To explore brain structure and function mechanisms of cognitive impairment in MDD. Methods 46 Han Chinese MDD patients aged 18–45 year and 46 controls were assessed by a series of validated test procedures.Then, 30 patients and 30 controls were obtained by MRI scan.White matter abnormalities evaluated using diffusion tensor imaging (DTI) were analyzed using tract based spatial statistics (TBSS) and resting-state brain function was evaluated using regional homogeneity (ReHo) analysis. Results Cognitive impairment in patients with MDD was demonstrated by reduced accuracy in the Wisconsin Card Sorting test (WSCT) and to a lesser extent the Continuous Performance test (CPT) and Trail Making tests (TMT). White matter abnormalities found in the left cerebellum, and resting-state abnormalities present in the left inferior parietal gyrus, left anterior cingulate nucleus and left hippocampal gyrus were associated with impaired performance in the WSCT and CPT tests. We also showed that poor WSCT performance was associated with increased interconnectivity between the left ventral anterior cingulate nucleus and the medial frontal lobe areas. Conclusions The present study indicates cognitive disturbances in patients with MDD are associated with white matter and resting-state changes and altered interconnections in specific brain areas.

The role of BDNF, NTRK2 gene and their interaction in development of treatment-resistant depression: Data from multicenter, prospective, longitudinal clinic practice

BackgroundAlthough genetic variants may play a key role in development of treatment-resistant depression (TRD), relevant research is scarce. MethodsTo examine whether the polymorphisms of BDNF (rs6265) and NTRK2 (rs1387923, rs2769605 and rs1565445) genes confer risk for TRD in major depressive disorder (MDD), a total of 948 MDD patients were recruited in a 12-week, multicenter, prospective longitudinal study. ResultsOur study showed a significant allelic association between rs1565445 and TRD with an excess of the T allele in the TRD group, compared to non-TRD group (OR = 1.43, 95%CI: 1.16–1.76, p = 0.0008); while patients with genotype C/C and T/C in rs1565445 were less likely to develop TRD than those carrying T/T (OR = 0.52, 95%CI: 0.33–0.82; OR = 0.72, 95%CI: 0.54–0.97, respectively; p = 0.005). Haplotype T–T (rs1565445 and rs1387923) had 1.41-fold increased risk of TRD (p = 0.0014). Furthermore, significant four-locus (rs1387923-rs1565445-rs2769605-rs6265) gene–gene interactions were detected by the Multifactor-dimensionality reduction (MDR) method. DiscussionThese results suggest that the interactions of BDNF (rs6265) with NTRK2 (rs1387923, rs2769605 and rs1565445) gene polymorphisms likely play an essential role in the development of TRD in Han Chinese MDD patients.

Demographic and Clinical Features and Prescribing Patterns of Psychotropic Medications in Patients with the Melancholic Subtype of Major Depressive Disorder in China

BackgroundLittle has been known about the demographic and clinical features of the melancholic subtype of major depressive disorder (MDD) in Chinese patients. This study examined the frequency of melancholia in Chinese MDD patients and explored its demographic and clinical correlates and prescribing patterns of psychotropic drugs.MethodsA consecutively collected sample of 1,178 patients with MDD were examined in 13 psychiatric hospitals or psychiatric units of general hospitals in China nationwide. The cross-sectional data of patients’ demographic and clinical characteristics and prescriptions of psychotropic drugs were recorded using a standardized protocol and data collection procedure. The diagnosis of the melancholic subtype was established using the Mini International Neuropsychiatric Interview (MINI). Medications ascertained included antidepressants, mood stabilizers, antipsychotics and benzodiazepines.ResultsSix hundred and twenty nine (53.4%) of the 1,178 patients fulfilled criteria for melancholia. In multiple logistic regression analyses, compared to non-melancholic counterparts, melancholic MDD patients were more likely to be male and receive benzodiazepines, had more frequent suicide ideations and attempts and seasonal depressive episodes, while they were less likely to be employed and receive antidepressants and had less family history of psychiatric disorders and lifetime depressive episodes.ConclusionsThe demographic and clinical features of melancholic MDD in Chinese patients were not entirely consistent with those found in Western populations. Compared to non-melancholic MDD patients, melancholic patients presented with different demographic and clinical features, which have implications for treatment decisions.

Patterns of co-morbidity with anxiety disorders in Chinese women with recurrent major depression

BackgroundStudies conducted in Europe and the USA have shown that co-morbidity between major depressive disorder (MDD) and anxiety disorders is associated with various MDD-related features, including clinical symptoms, degree of familial aggregation and socio-economic status. However, few studies have investigated whether these patterns of association vary across different co-morbid anxiety disorders. Here, using a large cohort of Chinese women with recurrent MDD, we examine the prevalence and associated clinical features of co-morbid anxiety disorders.MethodA total of 1970 female Chinese MDD patients with or without seven co-morbid anxiety disorders [including generalized anxiety disorder (GAD), panic disorder, and five phobia subtypes] were ascertained in the CONVERGE study. Generalized linear models were used to model association between co-morbid anxiety disorders and various MDD features.ResultsThe lifetime prevalence rate for any type of co-morbid anxiety disorder is 60.2%. Panic and social phobia significantly predict an increased family history of MDD. GAD and animal phobia predict an earlier onset of MDD and a higher number of MDD episodes, respectively. Panic and GAD predict a higher number of DSM-IV diagnostic criteria. GAD and blood-injury phobia are both significantly associated with suicidal attempt with opposite effects. All seven co-morbid anxiety disorders predict higher neuroticism.ConclusionsPatterns of co-morbidity between MDD and anxiety are consistent with findings from the US and European studies; the seven co-morbid anxiety disorders are heterogeneous when tested for association with various MDD features.

Efficacy and safety of escitalopram versus citalopram in major depressive disorder: a 6-week, multicenter, randomized, double-blind, flexible-dose study

S-citalopram (escitalopram) is the very active moiety of citalopram. It has been shown in many studies to be an effective and safe antidepressant for treating major depressive disorder (MDD). The aim of our study was to compare the efficacy and safety of escitalopram vs citalopram in Chinese MDD patients. In the double-blind study, 240 MDD patients were randomly assigned to treatment for 6 weeks either with escitalopram (10-20 mg/d) or citalopram (20-40 mg/d). The primary efficacy measurement was the change of 17-item Hamilton Depression Rating Scale (HAMD-17) total score from baseline to the end of study. The secondary efficacy measurements were response and remission rates. The adverse events (AEs) were recorded by the investigator. Two hundred and three (85%) patients completed the trial. The average dose was 13.9 mg/d in the escitalopram group and 27.6 mg/d in the citalopram group. No significant differences were found between the two groups in the change in HAMD-17 total score, response, and remission rate. These results were similar in severe MDD patients. No significant differences were found between the two groups in AEs. No serious AEs were observed in this study. The study suggests that escitalopram 10-20 mg/d are as effective and safe as citalopram 20-40 mg/d in the short-term treatment for Chinese MDD patients.