Is the Psychotic Depression Assessment Scale a useful diagnostic tool? The CRESCEND study

Prevalence and risk factors for psychotic symptoms in young, first-episode and drug-naïve patients with major depressive disorder

BACKGROUND

Major depressive disorder (MDD) is a common psychiatric disorder worldwide. Psychotic depression has been reported to be frequently under-diagnosed due to poor recognition of psychotic features. Therefore, the purpose of this study was to reveal the rate and risk factors of psychotic symptoms in young, drug-naïve patients with major depressive disorder at the time of their first episode.

METHODS

A total of 917 patients were recruited and divided into psychotic and non-psychotic subgroups based on the Positive and Negative Syndrome Scale (PANSS) positive subscale score. Anxiety symptoms and depressive symptoms were measured by the Hamilton Anxiety Rating Scale (HAMA) and the 17-item Hamilton Depression Rating Scale (HAMD-17), respectively. Several biochemical indicators such as total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), fasting blood glucose (FBG), thyroid stimulating hormone (TSH), free triiodothyronine (FT3), and free thyroxine (FT4) were also measured.

RESULTS

The rate of psychotic symptoms among young adult MDD patients was 9.1%. There were significant differences in TSH (p<0.001), FBG (p<0.001), TC (p<0.0001), TG (p = 0.001), HDL-C (p = 0.049), LDL-C (p = 0.010), diastolic blood pressure (DP) (p<0.001), systolic blood pressure (SP) (p<0.001), and HAMD total score (p<0.001) between young MDD patients with and without psychotic depression. HAMD, TSH, TC, and severe anxiety were independently associated with psychotic symptoms in young adult MDD patients. In addition, among young MDD patients, the rate of suicide attempts in the psychotic subgroup was much higher than in the non-psychotic subgroup (45.8% vs. 16.9%).

CONCLUSIONS

Our findings suggest that psychotic symptoms are common in young MDD patients. Several clinical variables and biochemical indicators are associated with the occurrence of psychotic symptoms in young MDD patients.

Development and validation of a nomogram to predict suicidal behavior in female patients with mood disorder

Introduction

This study aims to explore the risk factors associated with suicidal behavior and establish predictive models in female patients with mood disorders, specifically using a nomogram of the least absolute shrinkage and selection operator (LASSO) regression.

Methods

A cross-sectional survey was conducted among 396 female individuals diagnosed with mood disorders (F30-F39) according to the International Classification of Diseases and Related Health Problems 10th Revision (ICD-10). The study utilized the Chi-Squared Test, t-test, and the Wilcoxon Rank-Sum Test to assess differences in demographic information and clinical characteristics between the two groups. Logistic LASSO Regression Analyses were utilized to identify the risk factors associated with suicidal behavior. A nomogram was constructed to develop a prediction model. The accuracy of the prediction model was evaluated using a Receiver Operating Characteristic (ROC) curve.

Result

The LASSO regression analysis showed that psychotic symptoms at first-episode (β = 0.27), social dysfunction (β = 1.82), and somatic disease (β = 1.03) increased the risk of suicidal behavior. Conversely, BMI (β = -0.03), age of onset (β = -0.02), polarity at onset (β = -1.21), and number of hospitalizations (β = -0.18) decreased the risk of suicidal behavior. The area under ROC curve (AUC) of the nomogram predicting SB was 0.778 (95%CI: 0.730-0.827, p < 0.001).

Conclusion

The nomogram based on demographic and clinical characteristics can predict suicidal behavior risk in Chinese female patients with mood disorders.

Ketamine as Add-On Treatment in Psychotic Treatment-Resistant Depression

Psychotic treatment-resistant depression is a complex and challenging manifestation of mood disorders in the clinical setting. Psychotic depression is a subtype of major depressive disorder characterized by mood-consistent hallucinations and/or delusions. Psychotic depression is often underdiagnosed and undertreated. Ketamine appears to have rapid and potent antidepressant effects in clinical studies, and the Federal Drug Agency approved the use of ketamine enantiomer esketamine-nasal spray for treatment-resistant depression pharmacotherapy in 2019. This study aimed to assess the usage of ketamine for major depressive disorder with psychotic features as an add-on treatment to the standard of care. Here we present four inpatients suffering from treatment-resistant depression with psychotic features, including one with severe suicidal crisis, all treated with 0.5 mg/kg intravenous infusion of ketamine. Subsequent monitoring revealed no exacerbation of psychotic symptoms in short and long-term observation, while stable remission was observed in all cases with imminent antisuicidal effect. Results suggest ketamine may benefit individuals with treatment-resistant depression with psychotic features.

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.

A Machine-Learning-Algorithm-Based Prediction Model for Psychotic Symptoms in Patients with Depressive Disorder

Psychotic symptoms are rarely concurrent with the clinical manifestations of depression. Additionally, whether psychotic major depression is a subtype of major depression or a clinical syndrome distinct from non-psychotic major depression remains controversial. Using data from the Research on Asian Psychotropic Prescription Patterns for Antidepressants, we developed a machine-learning-algorithm-based prediction model for concurrent psychotic symptoms in patients with depressive disorders. The advantages of machine learning algorithms include the easy identification of trends and patterns, handling of multi-dimensional and multi-faceted data, and wide application. Among 1171 patients with depressive disorders, those with psychotic symptoms were characterized by significantly higher rates of depressed mood, loss of interest and enjoyment, reduced energy and diminished activity, reduced self-esteem and self-confidence, ideas of guilt and unworthiness, psychomotor agitation or retardation, disturbed sleep, diminished appetite, and greater proportions of moderate and severe degrees of depression compared to patients without psychotic symptoms. The area under the curve was 0.823. The overall accuracy was 0.931 (95% confidence interval: 0.897-0.956). Severe depression (degree of depression) was the most important variable in the prediction model, followed by diminished appetite, subthreshold (degree of depression), ideas or acts of self-harm or suicide, outpatient status, age, psychomotor retardation or agitation, and others. In conclusion, the machine-learning-based model predicted concurrent psychotic symptoms in patients with major depression in connection with the "severity psychosis" hypothesis.

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.

Cross-cultural evaluation of the French version of the Delusion Assessment Scale (DAS) and Psychotic Depression Assessment Scale (PDAS)

BACKGROUND

Major depressive disorder with psychotic features (MDDPsy), compared to nonpsychotic MDD, involves an increased risk of suicide and failure to achieve treatment response. Symptom scales can be useful to assess patients with MDDPsy. The aim of the present study was to validate French versions of the Delusion Assessment Scale (DAS) and Psychotic Depression Assessment Scale (PDAS).

METHODS

One hundred patients were included. The scales were filled out by psychiatrists. Data from participants who accepted a second interview were used for inter-judge reliability. The scalability and psychometric properties of both scales were assessed.

RESULTS

Data from 94 patients were used. Owing to low score variability between patients, the predefined threshold for scalability (≥0.40) was not reached for both scales. Factorial analysis of the DAS identified five factors, different from those of the original version. Five factors were also identified in the PDAS, of which two comprised items from the HDRS and the other three items from the BPRS. Floor and ceiling effects were observed in both scales, due in part to the construction of certain subscales. Unlike the PDAS, the DAS had good internal consistency. Multiple correlations were observed between the DAS dimensions but none between those of the PDAS. Both scales showed good inter-judge reliability. Convergent validity analyses showed correlations with HDRS, BPRS and CGI.

LIMITATIONS

Inter-judge reliability was calculated from a relatively small number of volunteers.

CONCLUSIONS

The good psychometric properties of the French versions of the DAS and PDAS could help in assessing MDDPsy, in particular its psychotic features, and hence improve response to treatment and prognosis.

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.

Vitamin D supplementation improves anxiety but not depression symptoms in patients with vitamin D deficiency

OBJECTIVE

Epidemiological evidence indicated a relationship between vitamin D (VD) and depression with anxiety, but their therapeutic relationship has not been fully elucidated. This study aimed to examine whether VD supplementation would relieve symptoms in patients with depression and anxiety with low serum 25-hydroxy VD [25(OH) D] levels.

METHOD

Participants with low 25(OH)D levels were randomized to control or daily VD group and were followed up for 6 months. Serum concentrations of 25(OH) D were measured using commercial kits. Psychological symptoms were evaluated with the Hamilton Depression Rating Scale-17 (HAMD-17), Revised Social Anhedonia Scale (RSAS), Revised Physical Anhedonia scale (RPAS), and Hamilton Anxiety Rating Scale-14 (HAMA-14). The trial was listed in the trial registration (http://www.medresman.org.cn/uc/index.aspx; NTR number: ChiCTR2000030130).

RESULTS

In this clinical population, no significant difference in depression symptoms was detected between VD group and control group at both baseline and at the endpoint of our study. The HAMD-17, RSAS, and RPAS scores did not change significantly between VD and control groups from baseline to endpoint (all p > .05). However, there was a significant difference in time effect of the total HAMA-14 scores between the two groups (β [95% Cl] = -2.235 [-3.818, -0.653], p = .006).

CONCLUSIONS

Vitamin D supplementation could improve the anxiety symptoms but not depressive symptoms in depressive patients with low VD level after the 6-month intervention.

Diagnostic Issues of Depressive Disorders from Kraepelinian Dualism to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition

Because the Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV) was mainly influenced by the neo-Kraepelinian approach, its categorical approach to defining mental disorders has been criticized from the viewpoint of etiological neutrality. In the context of bridging the gap between "presumed etiologies-based symptomatology" and "identifiable pathophysiological etiologies," the content in 5th edition, the DSM-5, has been revised to incorporate a combination of categorical and dimensional approaches. The most remarkable change of note regarding the diagnostic classification of depressive disorders in the DSM-5 is the splitting of mood disorders into bipolar disorders and depressive disorders, which is in accordance with the deconstruction of the Kraepelinian dualism for psychoses. The transdiagnostic specifiers "with mixed features," "with psychotic features," and "with anxious distress" are introduced to describe the relationships of depressive disorders with bipolar disorders, schizophrenia, and generalized anxiety disorder, respectively, in a dimensional manner. The lowering of the diagnostic threshold for major depressive disorder (MDD) may be caused by the addition of "hopelessness" to the subjective descriptors of depressive mood and the elimination of "bereavement exclusion" from the definition of MDD. Since the heterogeneity of MDD is equivalent to the Wittgensteinian "games" analogy, the different types of MDD are related not by a single essential feature but rather by "family resemblance." Network analyses of MDD symptoms may therefore need further review to elucidate the connections among interrelated symptoms and other clinical elements.

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 major depression: challenges in clinical practice and research

Psychotic major depression is an under-researched and under-identified disorder. We highlight the major challenges both in clinical practice and in conducting research with people with this disorder. We also suggest which major issues need addressing to move treatment and knowledge of this disorder forward. Declaration of interest M.H. and A.H.Y. both report grants from the National Institute for Health Research (NIHR).

Clinical Validation of the Psychotic Depression Assessment Scale, Hamilton Depression Rating Scale-6, and Brief Psychiatric Rating Scale-5: Results from the Clinical Research Center for Depression Study

OBJECTIVE

The aim of this study was to validate the psychotic depression assessment scale (PDAS), which includes the six-item melancholia subscale from the Hamilton depression rating scale (HAMD-6) and the five-item psychosis subscale from the brief psychiatric rating scale (BPRS-5). Data from the Clinical Research Center for Depression (CRESCEND) study, which is a 52-week naturalistic trial, were analyzed.

METHODS

Fifty-two patients with psychotic depression from the CRESCEND study met our inclusion criteria. The patients underwent the following psychometric assessments: the PDAS, including HAMD-6 and BPRS-5, the clinical global impression scales, the HAMD, the positive symptom subscale, and the negative symptom subscale. Assessments were performed at the baseline and then at weeks 1, 2, 4, 8, 12, 24, and 52. Spearman correlation analyses were used to assess the clinical validity and responsiveness of the PDAS.

RESULTS

The clinical validity and responsiveness of the PDAS, including HAMD-6 and BPRS-5, were acceptable, with the exception of the clinical responsiveness of the PDAS for positive symptoms and the clinical responsiveness of BPRS-5 for negative symptoms.

CONCLUSION

The clinical relevance of the PDAS has been confirmed and this clinical validation will enhance its clinical utility and availability.

How many different symptom combinations fulfil the diagnostic criteria for major depressive disorder? Results from the CRESCEND study

BACKGROUND

The polythetic nature of major depressive disorder (MDD) in DSM- IV and DSM-5 inevitably leads to diagnostic heterogeneity.

AIMS

This study aimed to identify the number of depressive symptom combinations actually fulfilling the DSM-IV diagnostic criteria that can be found in Korean MDD patients and the relative frequencies of each combination.

METHODS

Using the data from the Clinical Research Center for Depression (CRESCEND) study in South Korea, we enrolled 853 MDD patients diagnosed using DSM-IV and scored as 8 or more on the Hamilton Depression Rating Scale (HAMD). Descriptive statistical analyses were performed to reveal the degree of diagnostic heterogeneity of the MDD.

RESULTS

This study identified 119 different depressive symptom combinations. The most common combination consisted of all nine depressive symptom profiles, and nine different combinations were each present in more than 3% of the patients.

CONCLUSION

The findings support the criticism that the diagnosis of MDD is not based on a single mental process, but on a set of 'family resemblances'.

Clinical Significance of the Number of Depressive Symptoms in Major Depressive Disorder: Results from the CRESCEND Study

Our study aimed to establish the relationship between the number of depressive symptoms and the clinical characteristics of major depressive disorder (MDD). This would enable us to predict the clinical significance of the number of depressive symptoms in MDD patients. Using data from the Clinical Research Center for Depression (CRESCEND) study in Korea, 853 patients with DSM-IV MDD were recruited. The baseline and clinical characteristics of groups with different numbers of depressive symptoms were compared using the χ(2) test for discrete variables and covariance (ANCOVA) for continuous variables. In addition, the scores of these groups on the measurement tools were compared by ANCOVA after adjusting the potential effects of confounding variables. After adjusting the effects of monthly income and history of depression, a larger number of depressive symptoms indicated higher overall severity of depression (F [4, 756] = 21.458, P < 0.001) and higher levels of depressive symptoms (F [4, 767] = 19.145, P < 0.001), anxiety symptoms (F [4, 765] = 12.890, P < 0.001) and suicidal ideation (F [4, 653] = 6.970, P < 0.001). It also indicated lower levels of social function (F [4, 760] = 13.343, P < 0.001), and quality of life (F [4, 656] = 11.975, P < 0.001). However, there were no significant differences in alcohol consumption (F [4, 656] = 11.975, P < 0.001). The number of depressive symptoms can be used as an index of greater illness burden in clinical psychiatry.

Establishing the cut-off score for remission and severity-ranges on the Psychotic Depression Assessment Scale (PDAS)

BACKGROUND

The Psychotic Depression Assessment Scale (PDAS) is a rating scale dedicated to the measurement of severity in psychotic depression (PD). The aim of this study was to establish the PDAS cut-off for remission of PD as well as PDAS score-ranges for mild, moderate, and severe PD. The secondary aim was to test how remission, as defined by the PDAS, would perform as outcome measure when applied to the data from a large randomized controlled trial (RCT) in PD.

METHODS

The study was based on data from the Study of Pharmacotherapy in Psychotic Depression (STOP-PD). The cut-off for remission on the PDAS and the severity-ranges for mild, moderate, and severe PD were defined using the Clinical Global Impression - Severity scale (CGI-S) as reference by means of pair-wise receiver operating characteristic (ROC) analyses. Subsequently, it was tested whether remission on the PDAS could separate the effects of Olanzapine+Sertraline vs. Olanzapine+Placebo through an intention-to-treat, mixed-effects logistic regression of the data from STOP-PD.

RESULTS

According to the ROC analyses, the ideal cut-off for remission of PD was a PDAS total score <8, while the severity-ranges for mild, moderate and severe PD were 8-15, 16-23, and >23 respectively. When applying the PDAS total score <8 (remission) as outcome on the STOP-PD data, treatment with Olanzapine+Sertraline performed significantly better than Olanzapine+Placebo (p<0.001).

LIMITATIONS

The STOP-PD was not designed specifically to answer the research questions of the present study.

CONCLUSIONS

According to this study, a total score <8 on the PDAS corresponds to remission of PD.

Gender Differences in the Clinical Characteristics of Psychotic Depression: Results from the CRESCEND Study

OBJECTIVE

To test whether there are gender differences in the clinical characteristics of patients with psychotic depression (PD).

METHODS

Using data from the Clinical Research Center for Depression (CRESCEND) study in South Korea, we tested for potential gender differences in clinical characteristics among 53 patients with PD. The Psychotic Depression Assessment Scale (PDAS) and other psychometric scales were used to evaluate various clinical features of the study subjects. Independent t-tests were performed for normally distributed variables, Mann-Whitney U-tests for non-normally distributed variables, and χ(2)tests for discrete variables. In addition, to exclude the effects of confounding variables, we carried out an analysis of covariance (ANCOVA) for the normally distributed variables and binary logistic regression analyses for discrete variables, after adjusting the effects of marital status.

RESULTS

We identified more prevalent suicidal ideation (adjusted odds ratio [aOR]=10.316, p=0.036) and hallucinatory behavior (aOR=8.332, p=0.016), as well as more severe anxiety symptoms (degrees of freedom [df]=1, F=6.123, p=0.017), and poorer social and occupational functioning (df=1, F=6.265, p=0.016) in the male patients compared to the female patients.

CONCLUSION

Our findings suggest that in South Korean patients with PD, suicidal ideation, hallucinatory behavior, and anxiety is more pronounced among males than females. This should be taken into consideration in clinical practice.

Rating scales measuring the severity of psychotic depression

OBJECTIVE

Unipolar psychotic depression (PD) is a severe and debilitating syndrome, which requires intensive monitoring. The objective of this study was to provide an overview of the rating scales used to assess illness severity in PD.

METHOD

Selective review of publications reporting results on non-self-rated, symptom-based rating scales utilized to measure symptom severity in PD. The clinical and psychometric validity of the identified rating scales was reviewed.

RESULTS

A total of 14 rating scales meeting the predefined criteria were included in the review. These scales grouped into the following categories: (i) rating scales predominantly covering depressive symptoms, (ii) rating scales predominantly covering psychotic symptoms, (iii) rating scales covering delusions, and (iv) rating scales covering PD. For the vast majority of the scales, the clinical and psychometric validity had not been tested empirically. The only exception from this general tendency was the 11-item Psychotic Depression Assessment Scale (PDAS), which was developed specifically to assess the severity of PD.

CONCLUSION

In PD, the PDAS represents the only empirically derived rating scale for the measurement of overall severity of illness. The PDAS should be considered in future studies of PD and in clinical practice.

Is the BPRS-5 subscale of the psychotic depression assessment scale a reliable screening tool for psychotic depression?: Results from the CRESCEND study

BACKGROUND

The detection of psychotic depression (PD) among patients with depressive disorders is important for both treatment and monitoring. Therefore, in continuation of our previous work, this study aimed to test the ability of the five-item Brief Psychiatric Rating Scale (BPRS-5) of the Psychotic Depression Assessment Scale (PDAS) in separating patients with psychotic depression from those with non-psychotic depression (non-PD) and to compare this discriminative validity to that of other item sets.

METHODS

A receiver operating characteristics curve was used to identify the optimal cut-off score of the BPRS-5 subscale for sensitive and specific distinction between PD and non-PD in a sample of 494 patients with depressive disorders (53 with PD and 441 with non-PD).

RESULTS

Using an optimal cut-off score of 1, the sensitivity and the specificity of the BPRS-5 subscale in detecting PD were 71.2% and 87.2%, respectively. The BPRS-5 outperformed other item sets of the PDAS and the positive symptom subscale of the BPRS in identifying patients with PD.

LIMITATIONS

The inter-rater reliability of the PDAS and the BPRS-5 subscale was not evaluated in this study.

CONCLUSIONS

The BPRS-5 subscale can be regarded as a more sensitive screening method for PD compared to other item sets from the PDAS and the BPRS. Hence, from a screening perspective, a positive score on any of the five symptoms of the BPRS-5 subscale (hallucinatory behavior, unusual thought content, suspiciousness, blunted affect, and emotional withdrawal) is indicative of PD, and should lead to more thorough diagnostic assessment.

Cognitive markers of psychotic unipolar depression: a meta-analytic study

BACKGROUND

The goal of the current meta-analysis was to review and examine in detail the features of cognitive performance in psychotic (MDDP) versus non-psychotic (MDD) major depressive disorder.

METHODS

An electronic literature search was performed to find studies comparing cognitive performance in MDDP versus MDD. A meta-analysis of broad cognitive domains (processing speed, reasoning/problem solving, verbal learning, visual learning, attention/working memory) and individual cognitive tasks was conducted on all included studies (n=12). Demographic and clinical features were investigated via meta-regression analysis as moderators of cognitive performance.

RESULTS

No difference in socio-demographic and clinical variables was detected between groups. In general, a poorer cognitive performance was detected in MDDP versus MDD subjects (ES=0.38), with a greater effect size in drug-free patients (ES=0.69). MDDP patients were more impaired in verbal learning (ES=0.67), visual learning (ES=0.62) and processing speed (ES=0.71) tasks. A significantly poorer performance was also detected in MDDP patients for individual tasks as Trail Making Test A, WAIS-R digit span backward and WAIS-R digit symbol. Age resulted to have a negative effect on tasks involved in working memory performance.

CONCLUSION

In line with previous meta-analyses, our findings seem to support an association between psychosis and cognitive deficits in the context of affective disorders. Psychosis during the course of MDD is associated with poorer cognitive performance in some specific cognitive domains, such as visual and verbal learning and executive functions.

Clinical and psychometric validation of the psychotic depression assessment scale

BACKGROUND

Recent studies have indicated that the 11-item Psychotic Depression Assessment Scale (PDAS), consisting of the 6-item melancholia subscale (HAM-D6) of the Hamilton Depression Rating Scale and 5 psychosis items from the Brief Psychiatric Rating Scale (BPRS), is a valid measure for the severity of psychotic depression. The aim of this study was to subject the PDAS, and its depression (HAM-D6) and psychosis (BPRS5) subscales to further validation.

METHODS

Patients diagnosed with psychotic depression at Danish psychiatric hospitals participated in semi-structured interviews. Video recordings of these interviews were assessed by two experienced psychiatrists (global severity rating of psychotic depression, depressive symptoms and psychotic symptoms) and by two young physicians (rating on 27 symptom items, including the 11 PDAS items). The clinical validity and responsiveness of the PDAS and its subscales was investigated by Spearman correlation analysis of the global severity ratings and the PDAS, HAM-D6, and BPRS5 total scores. The unidimensionality of the scales was tested by item response theory analysis (Mokken).

RESULTS

Ratings from 39 participants with unipolar psychotic depression and nine participants with bipolar psychotic depression were included in the analysis. The Spearman correlation analysis indicated that the PDAS, HAM-D6 and BPRS5 were clinically valid (correlation coefficients from 0.78 to 0.85, p<0.001) and responsive (correlation coefficients from 0.72 to 0.86, p<0.001) measures of psychotic depression. According to the Mokken analysis, all three scales were unidimensional.

CONCLUSIONS

The clinical validity, responsiveness and unidimensionality of the PDAS and its subscales were confirmed in an independent sample of patients with psychotic depression.