Psychotic versus non-psychotic major depressive disorder: a comparative naturalistic study

Sex differences and risk factors of self-reported suicide attempts in middle-aged Chinese Han patients with first-episode drug-naïve anxious depression: a large-scale cross-sectional study

This study aims to investigate sex differences and risk factors for self-reported suicide attempts among Chinese Han middle-aged patients with first-episode drug-naïve (FEDN) anxious depression (AD). A total of 1796 patients with FEDN major depressive disorder were enrolled in this study, including 341 middle-aged patients with AD. We compared the prevalence, demographics, and clinical characteristics of suicide attempts between male and female patients with FEDN middle-aged AD. We also explored the risk factors for self-reported suicide attempts in this population using binary logistic regression analysis. The male/female ratio was 91/250 and the age of onset was 51.50 ± 4.13. Our results showed that there were no significant sex differences in the prevalence of self-reported suicide attempts in middle-aged patients with FEDN AD. However, we did find significant differences in several demographic and clinical characteristics between self-reported suicide attempters and non-suicide attempters. Moreover, severe anxiety, measured by the Hamilton Anxiety Rating Scale score, was identified as a risk factor for self-reported suicide attempts in female middle-aged AD patients. Additionally, elevated thyroid peroxidase antibody (TPOAb) levels were linked to self-reported suicide attempts in male AD patients. Our findings suggest that there are no significant sex differences in the prevalence of self-reported suicide attempts in this population, but there may be sex-specific risk factors for self-reported suicide attempts in middle-aged AD. Clinical psychiatrists need to pay attention to thyroid hormone levels in middle-aged anxious depression.

Depression severity partially mediates the association between thyroid function and psychotic symptoms in first-episode, drug-naive major depressive disorder patients with comorbid anxiety at different ages of onset

BACKGROUND

Anxiety and psychotic symptoms are common in patients with major depressive disorder (MDD), with a strong association with thyroid function. Age of onset contributes to the heterogeneity of MDD patients. This study aimed to assess the prevalence of psychotic symptoms in MDD patients with comorbid anxiety and to explore the relationship between thyroid function and psychotic symptoms by ages of onset.

METHODS

A total of 894 first-episode, drug-naïve Chinese Han MDD patients with comorbid anxiety were recruited. Thyroid function and psychometric measures including Hamilton Anxiety Scale, Hamilton Depression Scale, and Positive and Negative Syndrome Scale were evaluated. Patients were divided into early adulthood onset (EAO, < 45 years old) and mid-adulthood onset (MAO, ≥ 45 years old) groups.

RESULTS

The MAO subgroup had a higher prevalence of psychotic symptoms compared to EAO subgroup. TSH and TPOAb levels were positively correlated with psychotic symptoms severity, with a more pronounced effect in MAO subgroup. Furthermore, MDD severity partially mediated the effects of TPOAb and TSH levels on psychotic symptoms in both subgroups.

LIMITATIONS

A causal relationship could not be demonstrated with this cross-sectional study, and the results should be limited to first-episode, drug-naïve MDD patients without considering more potential confounders. Moreover, the male-to-female ratio imbalance is present.

CONCLUSIONS

Our results indicated that age of onset moderated the association between thyroid function and psychotic symptom, and depression severity partially mediated the effects of thyroid function on psychotic symptoms, suggesting thyroid function may serve as a biomarker of psychotic symptoms in MDD patients with anxiety.

Association between subclinical hypothyroidism and psychotic features in Chinese young adults with first-episode and untreated major depressive disorder

BACKGROUND

Thyroid dysfunction is often reported in patients with major depressive disorder (MDD) and may be associated with depression severity and psychotic symptoms. We included young adults with first-episode and untreated MDD to avoid the effect of age and disease duration on thyroid dysfunction and psychotic symptoms.

METHODS

481 young patients with MDD (aged 18-24 years) were recruited. The Hamilton Depression Scale (HAMD), Hamilton Anxiety Scale (HAMA), Positive and Negative Syndrome Scale (PANSS) positive subscale and Global Impression of Severity Scale (CGIS) were used to assess depression, anxiety, psychotic symptoms and disease severity, respectively.

RESULTS

The prevalence rate of subclinical hypothyroidism (SCH) and thyroid antibody positivity was 56.76 % (273/481) and 26.61 % (128/481) in young MDD, respectively. A higher proportion of MDD patients with SCH displayed psychotic features (14.3 % vs. 5.3 %, OR = 2.985, p = 0.001). TSH was a risk factor for psychotic symptoms in MDD patient with SCH (B = 0.136, p = 0.017, OR = 1.384), with an AUC of 0.709, indicating acceptable discrimination. Multivariate regression analysis also showed that TSH was also independently associated with PANSS positive score (B = 0.339, t = 2.019, p = 0.045).

LIMITATION

This cross-sectional study design did not demonstrate a causal relationship. Relying solely on the PANSS positive subscale as psychotic symptoms may cause bias.

CONCLUSIONS

Our findings suggest that SCH is common in young patients with first-episode and untreated MDD. MDD patients with higher TSH levels may suffer from more psychotic symptoms. Regular screening of serum thyroid hormones is necessary in patients with MDD.

Prevalence and risk factors of psychotic symptoms in middle-aged patients with first-episode drug-naïve major depressive disorder: A large-scale cross-sectional study

BACKGROUND

Psychotic symptoms are common in patients with major depressive disorder (MDD). However, few studies have assessed the incidence of comorbid psychotic symptoms in first-episode drug naïve (FEDN) MDD patients. The present study aimed to evaluate the prevalence and risk factors of psychotic symptoms in a large sample of middle-aged Chinese patients with FEDN MDD.

METHODS

813 middle-aged (age range 35 to 65 years) outpatients with FEDN MDD were recruited. The 17-item Hamilton Rating Scale for Depression (HAMD), the 14-item Hamilton Anxiety Rating Scale (HAMA), and the positive subscales of the Positive and Negative Syndrome Scale (PANSS) were used to assess patient anxiety, depression and psychotic symptoms, respectively.

RESULTS

The prevalence of psychotic symptoms in middle-aged patients with FEND MDD was 10.95 %. Multivariate logistic regression analysis showed that HAMA score, HAMD score, TSH, TC and BMI levels were significant predictors of psychotic symptoms in MDD middle-aged patients. The HAMA score and HAMD score predicted psychotic symptoms for both male and female middle-aged patients with MDD, while higher TSH, TC and BMI levels were correlated with psychotic symptoms only in female MDD patients. Furthermore, combining the HAMA score, HAMD score, and TSH could differentiate between psychotic major depression (PMD) and nonpsychotic major depression (NPMD) in middle-aged patients.

CONCLUSIONS

Psychotic symptoms among middle-aged patients with MDD can be identified by integrating clinical and biological variables as early as possible during the first time see a doctor.

Prevalence and related factors of anxiety in first episode and drug naïve Chinese Han outpatients with psychotic major depression

BACKGROUND

Anxiety frequently occurs with major depressive disorder (MDD) but to a different extent in the various subtypes. Psychotic major depression (PMD) is a severe subtype of MDD that is under-identified and under-studied. We investigated the prevalence and related risk factors of anxiety in PMD patients.

METHODS

A total of 1718 first episode and drug naïve MDD patients were recruited. Measures included the Hamilton Depression Scale (HAMD), Clinical Global Impression-Severity scale (CGI-S), Hamilton Anxiety Scale (HAMA), and positive symptom scale of the Positive and Negative Syndrome Scale (PANSS), thyroid hormone levels, and metabolic parameters.

RESULTS

171 of the entire MDD study sample met the criteria for the PMD subtype. The prevalence of severe anxiety was much higher in PMD patients (22.8 %) than in non-PMD patients (0.4 %) (χ² = 294.69, P < 0.001, OR = 75.88, 95 % CI = 31.55-182.52). Compared to PMD patients without severe anxiety, PMD patients with severe anxiety had higher HAMD score, CGI-S score, positive symptom subscale score, suicide attempts, blood pressure, thyroid-stimulating hormone (TSH), anti-thyroglobulin (TgAb), and thyroid peroxidases antibody (TPOAb) levels. Furthermore, logistic regression analysis indicated that HAMD score and TSH levels were associated with severe anxiety in PMD patients.

LIMITATIONS

Our cross-sectional study cannot explain the causal relationship between anxiety severity and risk factors in PMD patients.

CONCLUSIONS

Our results suggest that PMD patients are more likely to experience severe anxiety than non-PMD patients. The severity of depression and TSH levels are independent risk factors for anxiety in PMD patients.

Gender differences in clinical and biochemical parameters of patients consecutively hospitalized for unipolar depression

Major Depressive Disorder (MDD) is a medical illness twice as common in women than in men lifetime. Purpose of this study is to identify gender differences in clinical and biochemical parameters in subjects affected by MDD to implement individualized treatment strategies. We recruited 234 patients (112 males and 122 females) consecutively hospitalized for MDD in Milan (Italy). Data were obtained through a screening of the clinical charts and blood analyses. Univariate analyses, binary logistic regressions and a final logistic regression model were performed. The final logistic regression model showed that female patients (compared to males) had lower plasmatic levels of hemoglobin (p = 0.020) and uric acid (p = 0.002), higher levels of cholesterol (p < 0.001), had been treated with a lower number of antidepressants (p = 0.011), presented lower red blood cells (p < 0.001) and showed more frequently comorbidity with hypothyroidism (p = 0.036). Univariate analyses identified also that women had an earlier age at onset (p = 0.043), were less likely to have comorbidity with diabetes (p = 0.002) and were less frequently treated with a psychiatric polytherapy (p < 0.001). Finally, female patients had achieved more frequently remission in the last depressive episode (p = 0.001) and were more likely to have family history for psychiatric disorders (p < 0.001) than males. Female patients globally have a better response to treatments, but they seem to be more vulnerable to specific metabolic abnormalities as showed by more frequent hypercholesterolemia and lower plasma levels of uric acid. These results have to be confirmed by further studies.

Prevalence, clinical features and prescription patterns of psychotropic medications for patients with psychotic depression in China

OBJECTIVE

To investigate the prevalence of psychotic depression and the differences in sociodemographic and clinical characteristics and prescription patterns of psychotropic medications between patients with psychotic depression (PD) and patients with nonpsychotic depression (NPD) in China.

METHODS

We conducted a cross-sectional study in 13 major psychiatric hospitals or the psychiatric units of general hospitals in China from September 1, 2010, to February 28, 2011. PD was defined according to the psychotic disorder section of the Mini International Neuropsychiatric Interview (MINI). The sociodemographic and clinical characteristics and the prescription patterns of psychotropic medications were compared between the PD and NPD groups. Multivariate logistic regression analysis was used to investigate factors associated with an increased likelihood of PD.

RESULTS

Among 1172 MDD patients, the prevalence of psychotic features was 9.2% in the present study. The logistic regression analysis indicated that unmarried (OR = 2.08, p < 0.001), frequent depressive episodes (OR = 2.10, p = 0.020), depressive episodes with suicidal ideation and attempts (OR = 1.91, p = 0.004), and patients who were prescribed any antipsychotics (OR = 2.94, p < 0.001) were associated with psychotic features in patients with MDD.

LIMITATIONS

Cross-sectional design, retrospective recall of some data CONCLUSION: The prevalence of PD is high in China, and there were some differences in demographic and clinical characteristics between patients with PD and patients with NPD. Clinicians should regularly assess psychotic symptoms and consider intensive treatment and close monitoring when treating subjects with PD.

Guidelines for the management of psychosis in the context of mood disorders

Psychotic episodes occur in a substantial proportion of patients suffering from major mood disorders (both unipolar and bipolar) at some point in their lives. The nature of these episodes is less well understood than the more common, non-psychotic periods of illness and hence their management is also less sophisticated. This is a concern because the risk of suicide is particularly high in this subtype of mood disorder and comorbidity is far more common. In some cases psychotic symptoms may be signs of a comorbid illness but the relationship of psychotic mood to other forms of psychosis and in particular its interactions with schizophrenia is poorly understood. Therefore, our targeted review draws upon extant research and our combined experience to provide clinical context and a framework for the management of these disorders in real-world practice - taking into consideration both biological and psychological interventions.

Seasonality in Major Depressive Disorder: Effect of Sex and Age

BACKGROUND

Aside from the concept of seasonal affective disorder, the evidence for a seasonal pattern (SP) of major depressive disorder (MDD) is controversial. Furthermore, the effect of sex and age is still unclear.

METHODS

This is a nationwide, registry-based study assessing all inpatient admissions in mental health hospitals due to MDD episodes according to ICD-10 (moderate (F32/33.1), severe (F32/33.2) and severe with psychotic features (F32/33.3)) in Austria across 14 years. Calculations were based on deviations from expected monthly admissions.

RESULTS

The sample comprised 231,824 hospitalisations (36.8% men) for MDD. A significant SP (p=0.001) in moderate and severe depressive episodes in both women and men with decreased admission rates in the summer months and December was detected. In psychotic depression a significant SP was only evidenced in women (p = 0.002, men: p = 0.291). Patients older than 55 years had a reduced SP compared to those being younger.

LIMITATIONS

Only anonymised admission data of inpatient treatments were available. Hospitalization rates cannot fully be equated to the occurrence of MDD.

CONCLUSIONS

The current study indicates a seasonal variation in MDD symptoms that may go beyond seasonal affective disorder. Knowledge about the predictability of depressive symptoms in patients should encourage preventive strategies.

Psychotic Depression: Diagnosis, Differential Diagnosis, and Treatment

Psychotic depression was initially considered to be at one end of a continuum of severity of major depression. Subsequent experience demonstrated that psychosis is an independent trait that may accompany mood disorders of varying severity. While much has been learned about the impact of severe mood congruent delusions and hallucinations on the course and treatment response of depression, less is known about fleeting or mild psychosis, mood incongruent features, or psychotic symptoms that reflect traumatic experiences. Acute treatment of psychotic unipolar depression generally involves the combination of an antidepressant and an antipsychotic drug or electroconvulsive therapy. There is inadequate information about maintenance treatment of unipolar psychotic depression and acute and chronic treatment of psychotic bipolar disorder. Decision-making therefore still must rely in part on clinical experience.

Clinical characteristics and sociodemographic features of psychotic major depression

BACKGROUND

Psychotic major depression (PMD) is a subtype of depression with a poor prognosis. Previous studies have failed to find many differences between patients with PMD and those with non-psychotic major depression (NMD) or schizophrenia (SZ). We compared sociodemographic factors (including season of conception) and clinical characteristics between patients with PMD, NMD, and schizophrenia. Our aim was to provide data to help inform clinical diagnoses and future etiology research.

METHODS

This study used data of all patients admitted to Shandong Mental Health Center from June 1, 2016 to December 31, 2017. We analyzed cases who had experienced an episode of PMD (International Classification of Diseases, Tenth Revision codes F32.3, F33.3), NMD (F32.0-2/9, F33.0-2/9), and SZ (F20-20.9). Data on sex, main discharge diagnosis, date of birth, ethnicity, family history of psychiatric diseases, marital status, age at first onset, education, allergy history, and presence of trigger events were collected. Odds ratios (OR) were calculated using logistic regression analyses. Missing values were filled using the k-nearest neighbor method.

RESULTS

PMD patients were more likely to have a family history of psychiatric diseases in their first-, second-, and third-degree relatives ([OR] 1.701, 95% confidence interval [CI] 1.019-2.804) and to have obtained a higher level of education (OR 1.451, 95% CI 1.168-1.808) compared with depression patients without psychotic features. Compared to PMD patients, schizophrenia patients had lower education (OR 0.604, 95% CI 0.492-0.741), were more often divorced (OR 3.087, 95% CI 1.168-10.096), had a younger age of onset (OR 0.934, 95% CI 0.914-0.954), less likely to have a history of allergies (OR 0.604, 95% CI 0.492-0.741), and less likely to have experienced a trigger event 1 year before first onset (OR 0.420, 95% CI 0.267-0.661). Season of conception, ethnicity, and sex did not differ significantly between PMD and NMD or schizophrenia and PMD.

CONCLUSIONS

PMD patients have more similarities with NMD patients than SZ patients in terms of demographic and clinical characteristics. The differences found between PMD and SZ, and PMD and NMD correlated with specificity of the diseases. Furthermore, allergy history should be considered in future epidemiological studies of psychotic disorders.

Psychotic depression in hospitalized patients: Longitudinal outcomes of psychotic vs. nonpsychotic depression among inpatients

Even though psychotic depression is related to worse outcomes than nonpsychotic depression, there is increasing evidence that this greater severity is not solely explained by the depressive symptoms. We evaluated the socio-demographic and clinical characteristics, as well as the differences in clinical outcomes of psychiatric hospitalization between psychotic and non-psychotic depression. Two-hundred-eighty-eight depressive inpatients were assessed within 72 h after hospitalization and 24 h before discharge. We compared scores of Hamilton Depression Rating Scale 17-items (HDRS-17), Clinical Global Impression (CGI), Brief Psychiatric Rating Scale (BPRS), and Global Assessment of Functioning (GAF) between psychotic and nonpsychotic patients. Instruments were compared both cross-sectionally - on admission and discharge - and longitudinally. Longitudinal outcomes were corrected for potential confounders (sex, age, age at disease onset, years of study, previous history of mania/hypomania, electroconvulsive therapy in current hospitalization, history of attempted suicide, number of suicide attempts, and previous hospitalizations). One-hundred-thirty-one depressive inpatients (45.4%) presented psychotic features. Both groups showed similar HDRS-17 scores at admission and discharge. However, psychotic patients had worse scores on BPRS, CGI, and GAF at both timepoints. Both groups had similar improvement on HDRS-17 (P = 0.75), CGI (P = 0.5), and GAF (P = 0.84), but psychotic patients had greater improvement on BPRS (P < 0.001). Psychotic inpatients showed worse clinical and functional parameters. Nonetheless, the groups did not differ in depressive symptom severity. These findings reinforce the hypothesis that depressive episode with psychotic features is a more severe form of the disease irrespective of intensity of affective symptomatology.

Psychotic symptoms in first-episode and drug naïve patients with major depressive disorder: Prevalence and related clinical factors

BACKGROUND

Many patients with major depressive disorder (MDD) have been found to have psychotic symptoms. However, few studies have reported the prevalence of comorbid psychotic symptoms in first-episode drug naïve (FEDN) MDD patients. This study was to investigate the prevalence of psychotic symptoms and related risk factors in a large sample size of FEDN MDD patients in a Chinese population.

METHODS

A total of 573 patients with diagnosis of MDD at their first episode were recruited with their demographic and clinical data. Positive scale of the Positive and Negative Syndrome Scale was utilized for psychotic symptoms, Hamilton Anxiety Rating Scale (HAMA) for anxiety symptoms, and Hamilton Depression Rating Scale (HAMD) for depressive symptoms.

RESULTS

The prevalence of psychotic symptoms in these MDD patients was 9.8%. MDD patients with psychotic symptoms had significantly higher HAMD and HAMA total scores than those without psychotic symptoms (both p < .001). A strong association was found between psychotic MDD and anxiety or suicide, with odds ratio of 33.097 for severe anxiety, and 5.012 for suicide.

CONCLUSIONS

Our results suggest that psychotic symptoms are common in MDD patients at their first episode. The strong association between psychotic MDD and anxiety or suicide attempts demonstrates the importance of reducing anxiety symptoms in the treatment of psychotic MDD patients as well as the necessity to regularly assess suicide risk in MDD patients with psychotic symptoms to better prevent suicidal behavior.

Deconstructing major depressive episodes across unipolar and bipolar depression by severity and duration: a cross-diagnostic cluster analysis on a large, international, observational study

A cross-diagnostic, post-hoc analysis of the BRIDGE-II-MIX study was performed to investigate how unipolar and bipolar patients suffering from an acute major depressive episode (MDE) cluster according to severity and duration. Duration of index episode, Clinical Global Impression-Bipolar Version-Depression (CGI-BP-D) and Global Assessment of Functioning (GAF) were used as clustering variables. MANOVA and post-hoc ANOVAs examined between-group differences in clustering variables. A stepwise backward regression model explored the relationship with the 56 clinical-demographic variables available. Agglomerative hierarchical clustering with two clusters was shown as the best fit and separated the study population (n = 2314) into 65.73% (Cluster 1 (C1)) and 34.26% (Cluster 2 (C2)). MANOVA showed a significant main effect for cluster group (p < 0.001) but ANOVA revealed that significant between-group differences were restricted to CGI-BP-D (p < 0.001) and GAF (p < 0.001), showing greater severity in C2. Psychotic features and a minimum of three DSM-5 criteria for mixed features (DSM-5-3C) had the strongest association with C2, that with greater disease burden, while non-mixed depression in bipolar disorder (BD) type II had negative association. Mixed affect defined as DSM-5-3C associates with greater acute severity and overall impairment, independently of the diagnosis of bipolar or unipolar depression. In this study a pure, non-mixed depression in BD type II significantly associates with lesser burden of clinical and functional severity. The lack of association for less restrictive, researched-based definitions of mixed features underlines DSM-5-3C specificity. If confirmed in further prospective studies, these findings would warrant major revisions of treatment algorithms for both unipolar and bipolar depression.

Sex differences in psychotic and non-psychotic major depressive disorder in a Chinese Han population

BACKGROUND

Sex differences between psychotic depression (PD) and non-psychotic depression (NPD) have received little systematic study. This study was conducted to investigate sex difference in patients with psychotic and non-psychotic major depressive disorder in a Chinese Han population.

METHODS

In this cross-sectional study, a total of 1718 first-episode and drug-naïve outpatients with major depressive disorder were recruited. Demographic and clinical characteristics were collected. All subjects were rated on the Hamilton Depression Rating Scale (HAMD), Hamilton Anxiety Rating Scale (HAMA) and the Positive and Negative Syndrome Scale (PANSS).

RESULTS

The prevalence of PD in female patients (10.97%) was higher than that in male patients (7.99%). Analysis of variance (ANOVA) showed that female patients were older compared with male patients in NPD group, but there were no significant differences in demographic and clinical variables between female and male PD patients. Further, there were no sex differences in the scores of HAMD, HAMA and positive symptom subscale of PANSS in both PD and NPD groups. Two-way ANOVA showed that PD patients had significantly higher scores on the HAMD, HAMA and positive symptom subscale of PANSS than non-PD patients. However, there were no significant effects of sex and sex* subtypes.

LIMITATIONS

The main limitations are cross-sectional design and inability to control selection bias.

CONCLUSIONS

Our findings show significant differences in clinical profiles between PD and NPD patients; however, no sex difference has been observed in the either PD or NPD patients.

Early childhood and adolescent risk factors for psychotic depression in a general population birth cohort sample

BACKGROUND AND PURPOSE

In the group of severe mental disorders, psychotic depression (PD) is essentially under-researched. Knowledge about the risk factors is scarce and this applies especially to early risk factors. Our aim was to study early childhood and adolescent risk factors of PD in a representative birth cohort sample with a follow-up of up to 50 years.

METHODS

The study was carried out using the Northern Finland Birth Cohort 1966 (NFBC 1966). We used non-psychotic depression (NPD) (n = 746), schizophrenia (SZ) (n = 195), psychotic bipolar disorder (PBD) (n = 27), other psychoses (PNOS) (n = 136) and healthy controls (HC) (n = 8200) as comparison groups for PD (n = 58). We analysed several potential early risk factors from time of birth until the age of 16 years.

RESULTS

The main finding was that parents' psychiatric illness [HR 3.59 (1.84-7.04)] was a risk factor and a high sports grade in school was a protective factor [HR 0.29 (0.11-0.73)] for PD also after adjusting for covariates in the multivariate Cox regression model. Parental psychotic illness was an especially strong risk factor for PD. The PD subjects had a parent with psychiatric illness significantly more often (p < 0.05) than NPD subjects. Differences between PD and other disorder groups were otherwise small.

CONCLUSIONS

A low sports grade in school may be a risk factor for PD. Psychiatric illnesses, especially psychoses, are common in the parents of PD subjects. A surprisingly low number of statistically significant risk factors may have resulted from the size of the PD sample and the underlying heterogeneity of the etiology of PD.

Results of the European Group for the Study of Resistant Depression (GSRD) - basis for further research and clinical practice

Objectives: The overview outlines two decades of research from the European Group for the Study of Resistant Depression (GSRD) that fundamentally impacted evidence-based algorithms for diagnostics and psychopharmacotherapy of treatment-resistant depression (TRD). Methods: The GSRD staging model characterising response, non-response and resistance to antidepressant (AD) treatment was applied to 2762 patients in eight European countries. Results: In case of non-response, dose escalation and switching between different AD classes did not show superiority over continuation of original AD treatment. Predictors for TRD were symptom severity, duration of the current major depressive episode (MDE), suicidality, psychotic and melancholic features, comorbid anxiety and personality disorders, add-on treatment, non-response to the first AD, adverse effects, high occupational level, recurrent disease course, previous hospitalisations, positive family history of MDD, early age of onset and novel associations of single nucleoid polymorphisms (SNPs) within the PPP3CC, ST8SIA2, CHL1, GAP43 and ITGB3 genes and gene pathways associated with neuroplasticity, intracellular signalling and chromatin silencing. A prediction model reaching accuracy of above 0.7 highlighted symptom severity, suicidality, comorbid anxiety and lifetime MDEs as the most informative predictors for TRD. Applying machine-learning algorithms, a signature of three SNPs of the BDNF, PPP3CC and HTR2A genes and lacking melancholia predicted treatment response. Conclusions: The GSRD findings offer a unique and balanced perspective on TRD representing foundation for further research elaborating on specific clinical and genetic hypotheses and treatment strategies within appropriate study-designs, especially interaction-based models and randomized controlled trials.

Temperament and character influence on depression treatment outcome

BACKGROUND

personality features have been repeatedly associated with depression treatment outcome in Major Depressive Disorder (MDD), however conclusive results are still lacking. Moreover, as for Bipolar Disorder (BD), results are only few and preliminary.

AIM

the aim of the present study was to perform an exploratory investigation of the influence of personality traits as assessed by the Temperament and Character Inventory (TCI), on principal depression treatment outcomes (non remission, non response and resistance).

METHODS

743 mood disorders patients (455 MDD (61.24%) and 288 BD (38.76%)) were recruited in the context of 6 European studies. Generalized logit models were performed to test the effects of TCI dimensions on treatment outcomes, considering possible confounders such as age, gender and education. Positive results were controlled for comorbidities (anxiety and substance use disorders) as well.

RESULTS

MDD Non-Remitters showed high Harm Avoidance (HA) and Self Transcendence (ST) (p = 0.0004, d = 0.40; p = 0.007, d = 0.36 respectively) and low Persistence (P) and Self Directedness (SD) (p = 0.05; d = 0.18; p = 0.002, d = 0.40, respectively); MDD Non-Responders showed a slightly different profile with high HA and low Reward Dependence (RD) and SD; finally, MDD Resistants showed low RD, P and Cooperativeness (C). In BD patients, only higher HA in non response was observed.

LIMITATIONS

the retrospective cross-sectional design, the TCI assessment regardless of the mood state and the small number of bipolar patients represent the main limitations.

CONCLUSION

specific TCI personality traits are associated with depression treatment outcome in MDD patients. The inclusion of such personality traits, together with other socio-demographic and clinical predictors, could ameliorate the accuracy of the prediction models available to date.

Gray matter bases of psychotic features in adult bipolar disorder: A systematic review and voxel-based meta-analysis of neuroimaging studies

Psychotic bipolar disorder (P-BD) is a specific subset that presents greater risk of relapse and worse outcomes than nonpsychotic bipolar disorder (NP-BD). To explore the neuroanatomical bases of psychotic dimension in bipolar disorder (BD), a systematic review was carried out based on the gray matter volume (GMV) among P-BD and NP-BD patients and healthy controls (HC). Further, we conducted a meta-analysis of GMV differences between P-BD patients and HC using a whole-brain imaging approach. Our review revealed that P-BD patients exhibited smaller GMVs mainly in the prefronto-temporal and cingulate cortices, the precentral gyrus, and insula relative to HC both qualitatively and quantitatively. Qualitatively the comparison between P-BD and NP-BD patients suggested inconsistent GMV alterations mainly involving the prefrontal cortex, while NP-BD patients showed GMV deficits in local regions compared with HC. The higher proportions of female patients and patients taking psychotropic medication in P-BD and P-BD type I were associated with smaller GMV in the right precentral gyrus, and the right insula, respectively. In conclusions, psychosis in BD might be associated with specific cortical GMV deficits. Gender and psychotropic medication might have effects on the regional GMVs in P-BD patients. It is necessary to distinguish psychotic dimension in neuroimaging studies of BD.

Clinical characteristics and outcomes of psychotic depression in the Northern Finland Birth Cohort 1966

BACKGROUND

Psychotic depression (PD) is heavily understudied despite high mortality and the severe course of illness. A majority of the studies conducted so far are also largely based on selected clinical samples. The aim of this study was to examine the clinical characteristics of PD in a representative prospective birth cohort sample.

METHODS

The Northern Finland Birth Cohort 1966 is a well-known prospective population-based cohort including 12 058 people followed since mid-pregnancy. We identified 55 individuals with PD, analysed their characteristics and compared them with schizophrenia (SZ), non-psychotic depression (NPD), psychotic bipolar disorder (PBD) and other psychoses (PNOS).

RESULTS

The life-time prevalence of stable (no conversion to schizophrenia, bipolar disorder or schizoaffective disorder) PD was 0.5%. PD subjects were older than SZ and PNOS subjects during the first psychotic episode and compared to SZ, more often female. PD required hospitalization and transition to disability pension more often than NPD, but less often than SZ. Comorbid alcohol abuse disorder (44%) and personality disorder (40%) were highly common in PD. PNOS had a similar occupational outcome than PD but hospitalization rate was lower in the PNOS group. PBD and PD had mostly comparable outcomes.

CONCLUSIONS

Our findings in a naturalistic cohort support the notion that the course of illness in PD is mostly similar to that of PBD, it is less severe than in schizophrenia, but worse than in non-psychotic depression. PD seems to have high psychiatric comorbidity.

Epidemiology of psychotic depression - systematic review and meta-analysis

Large amount of data have been published on non-psychotic depression (NPD), schizophrenia (SZ), and bipolar disorder, while psychotic depression (PD) as an own entity has received much smaller attention. We performed a systematic review and meta-analyses on epidemiology, especially incidence and prevalence, risk factors, and outcomes of PD. A systematic search to identify potentially relevant studies was conducted using four electronic databases and a manual search. The search identified 1764 unique potentially relevant articles, the final study included 99 articles. We found that the lifetime prevalence of PD varies between 0.35% and 1%, with higher rates in older age. Onset age of PD was earlier than that of NPD in younger samples, but later in older samples. There were no differences in gender distribution in PD v. NPD, but higher proportion of females was found in PD than in SZ or in psychotic bipolar disorder (PBD). Risk factors have rarely been studied, the main finding being that family history of psychosis and bipolar disorder increases the risk of PD. Outcomes of PD were mostly worse when compared with NPD, but better compared with SZ and schizoaffective disorder. The outcome compared with PBD was relatively similar, and somewhat varied depending on the measure of the outcome. Based on this review, the amount of research on PD is far from that of NPD, SZ, and bipolar disorder. Based on our findings, PD seems distinguishable from related disorders and needs more scientific attention.

Psychotic (delusional) depression and suicidal attempts: a systematic review and meta-analysis

OBJECTIVE

It still remains unclear whether psychotic features increase the risk of suicidal attempts in major depressive disorder. Thus, we attempted, through a systematic review coupled with a meta-analysis, to elucidate further whether unipolar psychotic depression (PMD) compared to non-PMD presents higher levels of suicidal attempts.

METHOD

A systematic search was conducted in PubMed, EMBASE, PsycINFO as well as in various databases of the so-called gray literature for all studies providing data on suicidal attempts in PMD compared to non-PMD, and the results were then subjected to meta-analysis.

RESULTS

Twenty studies met our inclusion criteria, including in total 1,275 PMD patients and 5,761 non-PMD patients. An elevated risk for suicide attempt for PMD compared to non-PMD patients was found: The total (lifetime) fixed-effects pooled OR was 2.11 (95% CI: 1.81-2.47), and the fixed-effects pooled OR of the five studies of the acute phase of the disorder was 1.93 (95% CI: 1.33-2.80). This elevated risk of suicidal attempt for PMD patients remained stable across all age groups of adult patients.

CONCLUSION

Despite data inconsistency and clinical heterogeneity, this systematic review and meta-analysis showed that patients with PMD are at a two-fold higher risk, both during lifetime and in acute phase, of committing a suicidal attempt than patients with non-PMD.

Psychotic (delusional) depression and completed suicide: a systematic review and meta-analysis

BACKGROUND

It remains unclear whether psychotic features increase the risk of completed suicides in unipolar depression. The present systematic review coupled with a meta-analysis attempts to elucidate whether unipolar psychotic major depression (PMD) compared to non-PMD presents higher rates of suicides.

METHODS

A systematic search was conducted in Scopus, PubMed, and "gray literature" for all studies providing data on completed suicides in PMD compared to non-PMD, and the findings were then subjected to meta-analysis. All articles were independently extracted by two authors using predefined data fields.

RESULTS

Nine studies with 33,873 patients, among them 828 suicides, met our inclusion criteria. PMD compared to non-PMD presented a higher lifetime risk of completed suicides with fixed-effect pooled OR 1.21 (95% CI 1.04-1.40). In a sub-analysis excluding a very large study (weight = 86.62%), and comparing 681 PMD to 2106 non-PMD patients, an even higher pooled OR was found [fixed-effect OR 1.69 (95% CI 1.16-2.45)]. Our meta-analysis may provide evidence that the presence of psychosis increases the risk of suicide in patients suffering from severe depression. The data are inconclusive on the contribution of age, mood congruence, comorbidity, and suicide method on PMD's suicide risk. The lack of accurate diagnosis at the time of suicide, PMD's diagnostic instability, and the use of ICD-10 criteria constitute the main study limitations.

CONCLUSIONS

The presence of psychosis in major depression should alert clinicians for the increased risk of completed suicide. Thus, the implementation of an effective treatment both for psychotic depression and patients' suicidality constitutes a supreme priority.

Medication Adherence and Persistence in Patients with Severe Major Depressive Disorder with Psychotic Features: Antidepressant and Second-Generation Antipsychotic Therapy Versus Antidepressant Monotherapy

BACKGROUND

Major depressive disorder with psychotic features, or psychotic depression, is a severe mental health disorder often associated with a worse depression-related symptom profile when compared with major depressive disorder without psychotic features. While combination pharmacotherapy with an antidepressant and an antipsychotic is recommended as first-line therapy, antidepressant monotherapy has been found to be useful and efficacious in psychotic depression.

OBJECTIVE

To assess the rates of antidepressant adherence and antidepressant persistence in Texas Medicaid patients with psychotic depression who used antidepressant plus second-generation antipsychotic (AD/SGA) therapy or antidepressant (AD) monotherapy.

METHODS

Using Texas Medicaid prescription and medical claims data from September 2007 to December 2012, adult patients aged 18-63 years were included if they had no confounding psychiatric disorders, no antidepressant claims during a 6-month pre-index period, and at least 1 diagnosis for severe major depressive disorder with psychotic features (ICD-9-CM codes 296.24 and 296.34). The first claim date for an antidepressant served as the index date. All patients were required to have at least 2 antidepressant claims, and those in the AD/SGA cohort were required to have 2 or more claims for an SGA. Study covariates included age, gender, race/ethnicity, residence, Charlson Comorbidity Index (CCI) score, and tobacco use/dependence. Statistical analyses included descriptive statistics, univariate analyses, logistic regression, and Cox proportional hazards regression.

RESULTS

A total of 926 patients met study criteria (AD cohort = 510; AD/SGA cohort = 416). The overall sample had a mean [±SD] age of 40.5 [±13.2] years and was primarily female (66.8%) and non-Caucasian (74.8%). When compared with the AD cohort, patients in the AD/SGA cohort had a 52.3% higher likelihood of being adherent to antidepressant therapy based on proportion of days covered (PDC; OR = 1.523; 95% CI = 1.129-2.053; P = 0.006). Similarly, antidepressant adherence was 42.0% higher for the AD/SGA cohort based on medication possession ratio (MPR; OR = 1.420; 95% CI = 1.062-1.898; P = 0.018). Younger patients, African Americans, and tobacco users/dependents had significantly worse likelihoods of antidepressant medication adherence based on PDC and MPR. The risk of antidepressant nonpersistence was 23.2% lower for patients in the AD/SGA cohort (HR = 0.768; 95% CI = 0.659-0.896; P = 0.001), compared with those in the AD cohort. Antidepressant nonpersistence was significantly higher in younger patients, African Americans, Hispanics, and tobacco users/dependents.

CONCLUSIONS

Better antidepressant adherence and persistence outcomes were associated with combination pharmacotherapy with an AD and an SGA antipsychotic. This study provides real-world estimates that support the current first-line treatment recommendations for psychotic depression; however, it should be noted that the majority of study patients used AD therapy only. Future research in psychotic depression is needed.

DISCLOSURES

Kim-Romo received funding to conduct this study from the PhRMA Foundation Pre-Doctoral Fellowship in Health Outcomes. Rascati, Richards, Ford, Wilson, and Beretvas declare no conflict of interest in relation to this manuscript. Kim-Romo and Rascati collaborated on the study design, data analysis, study interpretation, and writing of this manuscript. Richards, Ford, Wilson, and Beretvas provided critical evaluation of the study design, analysis, and interpretation, as well as edited this manuscript.

Sex Steroids and Major Psychoses: Which Role for DHEA-S and Progesterone

OBJECTIVE

Endocrine pathways seem to play a role in the etiology of major psychoses. The identification of biomarkers associated with psychotic symptoms in schizophrenia (SKZ) and mood disorders would allow the identification of high-risk subjects for delusions and hallucinations. The aim of this study was to evaluate dehydroepiandrosterone sulfate (DHEA-S) and progesterone plasma levels in drug-free patients with major psychoses and their relation with the diagnosis and history of psychotic symptoms.

METHODS

Eighty-nine consecutive drug-free male inpatients with SKZ or mood disorders were recruited, and DHEA-S and progesterone plasma levels were measured. The groups, divided according to pathological/normal-range hormone levels, were compared in terms of clinical variables using x03C7;2 tests with Bonferroni's corrections or multivariate analyses of variance. The same analyses were performed for groups divided according to the presence/absence of lifetime psychotic symptoms. Binary logistic regression analysis was performed using hormone levels as independent variables and history of lifetime psychotic symptoms as a dependent one.

RESULTS

A higher number of patients with abnormal DHEA-S levels was found to have a family history of major depressive disorder (p < 0.05). Higher DHEA-S levels (F = 8.31; p = 0.005) were found in patients with a history of psychotic symptoms. In addition, binary logistic regression confirmed that DHEA-S levels were associated with a higher probability of lifetime psychotic symptoms (p = 0.037).

CONCLUSIONS

Our results confirm previous data about the role of endocrine factors in the etiology of major psychoses. A high DHEA-S level might be a risk factor for psychotic symptoms. Studies with larger samples are needed to confirm these data.

Biological aspects and candidate biomarkers for psychotic bipolar disorder: A systematic review

AIM

We carried out a systematic review of the available literature about potential biomarkers of psychotic bipolar disorder (BD-P), a specific subset presenting worse outcome and greater risk of relapse than non-psychotic bipolar disorder (BD-NP).

METHODS

We searched the main psychiatric databases (PubMed, ISI Web of Knowledge, PsychInfo). Only original articles with the main topic of BD-P compared to schizophrenia/BD-NP/healthy controls (HC) written in English from 1994 to 2015 were included.

RESULTS

BD-P patients presented higher kynurenic acid levels in the cerebrospinal fluid, elevated anti- S accharomyces cerevisiae antibodies levels, and lower serum levels of dehydroepiandrosterone sulfate and progesterone than BD-NP/HC. Event-related potentials abnormalities have been identified in BD-P with respect to BD-NP. BD-P patients also presented bigger ventricles but similar hippocampal volumes compared to BD-NP/HC. Although the results are contrasting, some cognitive deficits seemed to be related to the psychotic dimension of bipolar affective disorder, such as impairment in verbal/logical memory, working memory, verbal and semantic fluency and executive functioning. Finally, polymorphisms of genes, such as NRG1, 5HTTLPR (s), COMT, DAOA and some chromosome regions (16p12 and 13q), were positively associated with BD-P.

CONCLUSION

Data about the identification of specific biomarkers for BD-P are promising, but most of them have not yet been replicated. They could lead the clinicians to an early diagnosis and proper treatment, thus ameliorating outcome of BD-P and reducing the biological changes associated with a long duration of illness. Further studies with bigger samples are needed to detect more specific biological markers of the psychotic dimension of bipolar affective disorder.