DSM-5 criteria for depression with mixed features: a farewell to mixed depression

Validity of the DSM-5 Mixed Features Specifier Interview

OBJECTIVES

To examine the reliability and validity of a semi-structured interview assessing the features of the DSM-5 mixed features specifier. Our goal was to develop an instrument that could be used for both diagnostic and severity measurement purposes.

METHODS

Four hundred fifty-nine psychiatric patients in a depressive episode were interviewed by a trained diagnostic rater who administered semi-structured interviews including the DSM-5 Mixed Features Specifier Interview (DMSI). We examined the inter-rater reliability and psychometric properties of the DMSI. The patients were rated on clinician rating scales of depression, anxiety, and irritability, and measures of psychosocial functioning, suicidality, and family history of bipolar disorder.

RESULTS

The DMSI had excellent joint-interview interrater reliability. More than twice as many patients met the DSM-5 mixed features specifier criteria during the week before the assessment than for the majority of the episode (9.4% vs. 3.9%). DMSI total scores were more highly correlated with a clinician-rated measure of manic symptoms than with measures of depression and anxiety. More patients with bipolar depression met the mixed features specifier than patients with MDD. Amongst patients with MDD, those with mixed features more frequently had a family history of bipolar disorder, were more frequently diagnosed with anxiety disorders, attention deficit disorder, and borderline personality disorder, more frequently had attempted suicide, and were more severely depressed, anxious, and irritable.

CONCLUSION

The DMSI is a reliable and valid measure of the presence of the DSM-5 mixed features specifier in depressed patients as well as the severity of the features of the specifier.

Models for depression recognition and efficacy assessment based on clinical and sequencing data

Major depression is a complex psychiatric disorder that includes genetic, neurological, and cognitive factors. Early detection and intervention can prevent progression, and help select the best treatment. Traditional clinical diagnosis tends to be subjective and misdiagnosed. Based on this, this study leverages clinical scale assessments and sequencing data to construct disease prediction models. Firstly, data undergoes preprocessing involving normalization and other requisite procedures. Feature engineering is then applied to curate subsets of features, culminating in the construction of a model through the implementation of machine learning and deep learning algorithms. In this study, 18 features with significant differences between patients and healthy controls were selected. The depression recognition model was constructed by deep learning with an accuracy of 87.26 % and an AUC of 91.56 %, which can effectively distinguish patients with depression from healthy controls. In addition, 33 features selected by recursive feature elimination method were used to construct a prognostic effect model of patients after 2 weeks of treatment, with an accuracy of 75.94 % and an AUC of 83.33 %. The results show that the deep learning algorithm based on clinical and sequencing data has good accuracy and provides an objective and accurate method for the diagnosis and pharmacodynamic prediction of depression. Furthermore, the selected differential features can serve as candidate biomarkers to provide valuable clues for diagnosis and efficacy prediction.

Innovative Neuroimaging Biomarker Distinction of Major Depressive Disorder and Bipolar Disorder through Structural Connectome Analysis and Machine Learning Models

Major depressive disorder (MDD) and bipolar disorder (BD) share clinical features, which complicates their differentiation in clinical settings. This study proposes an innovative approach that integrates structural connectome analysis with machine learning models to discern individuals with MDD from individuals with BD. High-resolution MRI images were obtained from individuals diagnosed with MDD or BD and from HCs. Structural connectomes were constructed to represent the complex interplay of brain regions using advanced graph theory techniques. Machine learning models were employed to discern unique connectivity patterns associated with MDD and BD. At the global level, both BD and MDD patients exhibited increased small-worldness compared to the HC group. At the nodal level, patients with BD and MDD showed common differences in nodal parameters primarily in the right amygdala and the right parahippocampal gyrus when compared with HCs. Distinctive differences were found mainly in prefrontal regions for BD, whereas MDD was characterized by abnormalities in the left thalamus and default mode network. Additionally, the BD group demonstrated altered nodal parameters predominantly in the fronto-limbic network when compared with the MDD group. Moreover, the application of machine learning models utilizing structural brain parameters demonstrated an impressive 90.3% accuracy in distinguishing individuals with BD from individuals with MDD. These findings demonstrate that combined structural connectome and machine learning enhance diagnostic accuracy and may contribute valuable insights to the understanding of the distinctive neurobiological signatures of these psychiatric disorders.

Identifying the DSM-5 mixed features specifier in depressed patients: A comparison of measures

BACKGROUND

A commonly used measure to assess mixed features in depressed patients is the Young Mania Rating Scale (YMRS), which only partially aligns with the DSM-5 criteria. Different algorithms on the YMRS have been used to approximate the DSM-5 mixed features criteria. In the present report from the Rhode Island Methods to Improve Diagnostic Assessment and Services (MIDAS) project, we examined the agreement and validity of different approaches towards assessing the mixed features specifier.

METHODS

Three hundred nine depressed psychiatric patients were interviewed with the Structured Clinical Interview for DSM-IV, the DSM-5 Mixed Features Specifier Interview (DMSI) and the YMRS. Seven definitions of mixed features were examined, two based on the DMSI and five from the YMRS.

RESULTS

The prevalence of mixed features varied 8-fold amongst the 7 definitions. The level of agreement between the YMRS definitions and the DMSI was poor. For each definition, mixed features were significantly more common in patients with bipolar disorder than major depressive disorder. A family history of bipolar disorder was significantly associated with the DMSI assessment of mixed features but none of the YMRS approaches.

LIMITATIONS

The ratings on the measures were not independent of each other. The sample size was too small to compare the patients with bipolar I and bipolar II disorder.

CONCLUSIONS

While there was evidence of validity for both the DSM-5 and YMRS approaches towards identifying mixed features, the 2 approaches are not interchangeable. The algorithm on the YMRS used to classify patients has a significant impact on prevalence.

Are anxious and mixed depression two sides of the same coin? Similarities and differences in patients with bipolar I, II and unipolar disorders

BACKGROUND

Diagnostic criteria are not always useful to discriminate major depression with anxious distress (ADS-D; Diagnostic and Statistical Manual for Mental Disorders, version-5 [DSM-5] criteria) from mixed depression (Koukopoulos' criteria; KMX-D). So, clinicians need alternative tools to improve their diagnostic ability and to choose the most appropriate treatment. The aim of the present study is to identify socio-demographic and clinical features that discriminate patients with ADS-D from those with KMX-D.

METHODS

Two hundred and forty-one consecutive outpatients with unipolar (51%) and bipolar (49%) disorder, fulfilling DSM-5 criteria for a current major depressive episode (MDE) and with a 21-item Hamilton Depression Rating Scale score ≥ 14, were recruited and treated in a prospective observational study.

RESULTS

Ten percent of patients met criteria for KMX-D, 22% ADS-D, and 37% for both. Irritable premorbid temperament, mixed depression polarity at onset, mixed depression recurrence, and a high number of mania symptoms at intake were typical features of patients with KMX-D. Depressive polarity at onset, a low number of mania symptoms at intake, and generalized anxiety disorder comorbidity were typical features of patients with ADS-D. Multinomial logistic regression confirmed that higher rate of irritable temperament and higher Young Mania Rating Scale total score differentiated patients with KMX-D from patients with pure MDE.

CONCLUSION

Our findings suggest some clinical features that could help differentiate between ADS-D and KMX-D in patients meeting both conditions and to select the appropriate treatment. However, the small sample size may have limited the power to detect differences between the groups. Further research is needed to confirm the results of present study.

Electrochemical immunosensor AuNPs/NG-PANI/ITO-PET for the determination of BDNF in depressed mice serum

A novel electrochemical immunosensor was developed for highly sensitive detection of brain-derived neurotrophic factor (BDNF), a well-known depression marker. The immunosensor was fabricated by modifying indium tin oxide-coated polyethylene terephthalate (ITO-PET) with N-doped graphene-polyaniline (NG-PANI) and gold nanoparticles (AuNPs) to enhance the conductivity and protein loading capacity. Subsequently, BDNF was immobilized onto the electrode surface via gold-sulfur bonds, followed by the attachment of biotinylated antibody (Biotin-Ab) and horseradish peroxidase-avidin (HRP-Avidin) to create the final immunosensor (HRP-Avidin-Biotin-Ab-BDNF-AuNPs/NG-PANI/ITO-PET). The proposed immunosensor exhibited a linear range of determination (0.781-400 pg/mL) with a low limit of detection (LOD) of 0.261 pg/mL (S/N = 3) and excellent reproducibility (RSD = 1.4%) and stability (92.7%, RSD = 3.1%). Additionally, the immunosensor demonstrated good anti-interference performance and good recovery (98.1-107%). To evaluate the practical utility of the immunosensor, BDNF levels were quantified in the serum of mice with depression induced by chronic unpredictable mild stress (CUMS). The results indicated that the serum BDNF levels were significantly decreased in the depression model group compared with the control group, highlighting the potential of this immunosensor for clinical detection of BDNF in depression diagnosis and treatment.

Distinguishing between bipolar depression and unipolar depression based on the reward circuit activities and clinical characteristics: A machine learning analysis

BACKGROUND

Differentiating bipolar depression (BD) from unipolar depression (UD) is a major clinical challenge. Identifying the potential classifying biomarkers between these two diseases is vital to optimize personalized management of depressed individuals.

METHODS

Here, we aimed to integrate neuroimaging and clinical data with machine learning method to classify BD and UD at the individual level. Data were collected from 31 healthy controls (HC group) and 80 depressive patients with an average follow-up period of 7.51 years. Of these patients, 32 got diagnosis conversion from major depressive disorder (MDD) to BD (BD group) and 48 remain persistent diagnosis of MDD (MDD group). Using graph theory and functional connectivity (FC) analysis, we investigated the differences in reward circuit properties among three groups. Then we applied a support vector machine and leave-one-out cross-validation methods to classify BD and UD patients based on neuroimaging and clinical data.

RESULTS

Compared with MDD and HC, BD showed decreased degree centrality of right mediodorsal thalamus (MD) and nodal efficiency (NE) of left ventral pallidum. Compared with BD and HC, MDD showed decreased NE of right MD and increased FC between right MD and bilateral dorsolateral prefrontal cortex and left ventromedial prefrontal cortex. Notably, the classifier obtained high classification accuracies (87.50 %) distinguishing BD and UD patients based on reward circuit properties and clinical features.

LIMITATIONS

The classifying model requires out-of-sample replication analysis.

CONCLUSION

The reward circuit dysfunction can not only provide additional information to assist clinical differential diagnosis, but also in turn informed treatment decision of depressive patients.

Bipolar disorder in the International Classification of Diseases-Eleventh version: A review of the changes, their basis, and usefulness

The World Health Organization’s 11^th revision of the International Classification of Diseases (ICD-11) including the chapter on mental disorders has come into effect this year. This review focuses on the “Bipolar or Related Disorders” section of the ICD-11 draft. It describes the benchmarks for the new version, particularly the foremost principle of clinical utility. The alterations made to the diagnosis of bipolar disorder (BD) are evaluated on their scientific basis and clinical utility. The change in the diagnostic requirements for manic and hypomanic episodes has been much debated. Whether the current criteria have achieved an optimum balance between sensitivity and specificity is still not clear. The ICD-11 definition of depressive episodes is substantially different, but the lack of empirical support for the changes has meant that the reliability and utility of bipolar depression are relatively low. Unlike the Diagnostic and Statistical Manual of Mental Disorders, 5^th edition (DSM-5), the ICD-11 has retained the category of mixed episodes. Although the concept of mixed episodes in the ICD-11 is not perfect, it appears to be more inclusive than the DSM-5 approach. Additionally, there are some uncertainties about the guidelines for the subtypes of BD and cyclothymic disorder. The initial results on the reliability and clinical utility of BD are promising, but the newly created diagnostic categories also appear to have some limitations. Although further improvement and research are needed, the focus should now be on facing the challenges of implementation, dissemination, and education and training in the use of these guidelines.

Clinical research diagnostic criteria for bipolar illness (CRDC-BP): rationale and validity

BACKGROUND

In the 1970 s, scientific research on psychiatric nosology was summarized in Research Diagnostic Criteria (RDC), based solely on empirical data, an important source for the third revision of the official nomenclature of the American Psychiatric Association in 1980, the Diagnostic and Statistical Manual, Third Edition (DSM-III). The intervening years, especially with the fourth edition in 1994, saw a shift to a more overtly "pragmatic" approach to diagnostic definitions, which were constructed for many purposes, with research evidence being only one consideration. The latest editions have been criticized as failing to be useful for research. Biological and clinical research rests on the validity of diagnostic definitions that are supported by firm empirical foundations, but critics note that DSM criteria have failed to prioritize research data in favor of "pragmatic" considerations.

RESULTS

Based on prior work of the International Society for Bipolar Diagnostic Guidelines Task Force, we propose here Clinical Research Diagnostic Criteria for Bipolar Illness (CRDC-BP) for use in research studies, with the hope that these criteria may lead to further refinement of diagnostic definitions for other major mental illnesses in the future. New proposals are provided for mixed states, mood temperaments, and duration of episodes.

CONCLUSIONS

A new CRDC could provide guidance toward an empirically-based, scientific psychiatric nosology, and provide an alternative clinical diagnostic approach to the DSM system.

Exploration of mood spectrum symptoms during a major depressive episode: The impact of contrapolarity-Results from a transdiagnostic cluster analysis on an Italian sample of unipolar and bipolar patients

Background

Subthreshold hypomania during a major depressive episode challenges the bipolar-unipolar dichotomy. In our study we employed a cross-diagnostic cluster analysis - to identify distinct subgroups within a cohort of depressed patients.

Methods

A k-means cluster analysis— based on the domain scores of the Mood Spectrum Self-Report (MOODS-SR) questionnaire—was performed on a data set of 300 adults with either bipolar or unipolar depression. After identifying groups, between-clusters comparisons were conducted on MOODS-SR domains and factors and on a set of sociodemographic, clinical and psychometric variables.

Results

Three clusters were identified: one with intermediate depressive and poor manic symptomatology (Mild), one with severe depressive and poor manic symptomatology (Moderate), and a third one with severe depressive and intermediate manic symptomatology (Mixed). Across the clusters, bipolar patients were significantly less represented in the Mild one, while the DSM-5 “Mixed features” specifier did not differentiate the groups. When compared to the other patients, those of Mixed cluster exhibited a stronger association with most of the illness-severity, quality of life, and outcomes measures considered. After performing pairwise comparisons significant differences between “Mixed” and “Moderate” clusters were restricted to: current and disease-onset age, psychotic ideation, suicidal attempts, hospitalization numbers, impulsivity levels and comorbidity for Cluster B personality disorder.

Conclusions

In the present study, a clustering approach based on a spectrum exploration of mood symptomatology led to the identification of three transdiagnostic groups of patients. Consistent with our hypothesis, the magnitude of subthreshold (hypo)manic symptoms was related to a greater clinical severity, regardless of the main categorical diagnosis.

Vortioxetine Induced Hypomania: A Case Presentation and Review of the Literature

Antidepressant-induced hypomania/mania is a complex issue that can be seen in mood disorders but is not clarified. There are case reports in the literature regarding vortioxetine-induced mania and hypomania; however, there is insufficient data. Here, we aim to present a case of vortioxetine-induced hypomania in a major depressive disorder patient who previously used various antidepressants but did not experience hypomania or mania. Our case is expected to contribute to the literature.

Associations of presenting symptoms and subsequent adverse clinical outcomes in people with unipolar depression: a prospective natural language processing (NLP), transdiagnostic, network analysis of electronic health record (EHR) data

OBJECTIVE

To investigate the associations of symptoms of mania and depression with clinical outcomes in people with unipolar depression.

DESIGN

A natural language processing electronic health record study. We used network analysis to determine symptom network structure and multivariable Cox regression to investigate associations with clinical outcomes.

SETTING

The South London and Maudsley Clinical Record Interactive Search database.

PARTICIPANTS

All patients presenting with unipolar depression between 1 April 2006 and 31 March 2018.

EXPOSURE

(1) Symptoms of mania: Elation; Grandiosity; Flight of ideas; Irritability; Pressured speech. (2) Symptoms of depression: Disturbed mood; Anhedonia; Guilt; Hopelessness; Helplessness; Worthlessness; Tearfulness; Low energy; Reduced appetite; Weight loss. (3) Symptoms of mania or depression (overlapping symptoms): Poor concentration; Insomnia; Disturbed sleep; Agitation; Mood instability.

MAIN OUTCOMES

(1) Bipolar or psychotic disorder diagnosis. (2) Psychiatric hospital admission.

RESULTS

Out of 19 707 patients, at least 1 depression, overlapping or mania symptom was present in 18 998 (96.4%), 15 954 (81.0%) and 4671 (23.7%) patients, respectively. 2772 (14.1%) patients subsequently developed bipolar or psychotic disorder during the follow-up period. The presence of at least one mania (HR 2.00, 95% CI 1.85 to 2.16), overlapping symptom (HR 1.71, 95% CI 1.52 to 1.92) or symptom of depression (HR 1.31, 95% CI 1.07 to 1.61) were associated with significantly increased risk of onset of a bipolar or psychotic disorder. Mania (HR 1.95, 95% CI 1.77 to 2.15) and overlapping symptoms (HR 1.76, 95% CI 1.52 to 2.04) were associated with greater risk for psychiatric hospital admission than symptoms of depression (HR 1.41, 95% CI 1.06 to 1.88).

CONCLUSIONS

The presence of mania or overlapping symptoms in people with unipolar depression is associated with worse clinical outcomes. Symptom-based approaches to defining clinical phenotype may facilitate a more personalised treatment approach and better predict subsequent clinical outcomes than psychiatric diagnosis alone.

Mixed Depression: A Mini-Review to Guide Clinical Practice and Future Research Developments

The debate on mixed states (MS) has been intense for decades. However, several points remain controversial from a nosographic, diagnostic, and therapeutic point of view. The different perspectives that have emerged over the years have turned into a large, but heterogeneous, literature body. The present review aims to summarize the evidence on MS, with a particular focus on mixed depression (MxD), in order to provide a guide for clinicians and encourage the development of future research on the topic. First, we review the history of MS, focusing on their different interpretations and categorizations over the centuries. In this section, we also report alternative models to traditional nosography. Second, we describe the main clinical features of MxD and list the most reliable assessment tools. Finally, we summarize the recommendations provided by the main international guidelines for the treatment of MxD. Our review highlights that the different conceptualizations of MS and MxD, the variability of clinical pictures, and the heterogeneous response to pharmacological treatment make MxD a real challenge for clinicians. Further studies are needed to better characterize the phenotypes of patients with MxD to help clinicians in the management of this delicate condition.

Canadian Network for Mood and Anxiety Treatments (CANMAT) and International Society for Bipolar Disorders (ISBD) recommendations for the management of patients with bipolar disorder with mixed presentations

OBJECTIVES

The 2018 Canadian Network for Mood and Anxiety Treatments (CANMAT) and International Society for Bipolar Disorders (ISBD) guidelines provided clinicians with pragmatic treatment recommendations for bipolar disorder (BD). While these guidelines included commentary on how mixed features may direct treatment selection, specific recommendations were not provided-a critical gap which the current update aims to address.

METHOD

Overview of research regarding mixed presentations in BD, with treatment recommendations developed using a modified CANMAT/ISBD rating methodology. Limitations are discussed, including the dearth of high-quality data and reliance on expert opinion.

RESULTS

No agents met threshold for first-line treatment of DSM-5 manic or depressive episodes with mixed features. For mania + mixed features second-line treatment options include asenapine, cariprazine, divalproex, and aripiprazole. In depression + mixed features, cariprazine and lurasidone are recommended as second-line options. For DSM-IV defined mixed episodes, with a longer history of research, asenapine and aripiprazole are first-line, and olanzapine (monotherapy or combination), carbamazepine, and divalproex are second-line. Research on maintenance treatments following a DSM-5 mixed presentation is extremely limited, with third-line recommendations based on expert opinion. For maintenance treatment following a DSM-IV mixed episode, quetiapine (monotherapy or combination) is first-line, and lithium and olanzapine identified as second-line options.

CONCLUSION

The CANMAT and ISBD groups hope these guidelines provide valuable support for clinicians providing care to patients experiencing mixed presentations, as well as further influence investment in research to improve diagnosis and treatment of this common and complex clinical state.

Non-Alcoholic Fatty Liver Disease (NAFLD) and Potential Links to Depression, Anxiety, and Chronic Stress

Non-alcoholic fatty liver disease (NAFLD) constitutes the most common liver disease worldwide, and is frequently linked to the metabolic syndrome. The latter represents a clustering of related cardio-metabolic components, which are often observed in patients with NAFLD and increase the risk of cardiovascular disease. Furthermore, growing evidence suggests a positive association between metabolic syndrome and certain mental health problems (e.g., depression, anxiety, and chronic stress). Given the strong overlap between metabolic syndrome and NAFLD, and the common underlying mechanisms that link the two conditions, it is probable that potentially bidirectional associations are also present between NAFLD and mental health comorbidity. The identification of such links is worthy of further investigation, as this can inform more targeted interventions for patients with NAFLD. Therefore, the present review discusses published evidence in relation to associations of depression, anxiety, stress, and impaired health-related quality of life with NAFLD and metabolic syndrome. Attention is also drawn to the complex nature of affective disorders and potential overlapping symptoms between such conditions and NAFLD, while a focus is also placed on the postulated mechanisms mediating associations between mental health and both NAFLD and metabolic syndrome. Relevant gaps/weaknesses of the available literature are also highlighted, together with future research directions that need to be further explored.

The relationship between depression with anxious distress DSM-5 specifier and mixed depression: a network analysis

INTRODUCTION

Epidemiological, clinical, and treatment response characteristics of major depression with anxious distress (ADS) are quite similar to those of mixed depression, but no study investigated the symptom interplay of these conditions.

OBJECTIVE

To analyze the correlations among symptom criteria for major depression with ADS and for mixed depression using a network analysis.

METHODS

Two hundred and forty-one outpatients with major depression were consecutively recruited. DSM-5 criteria for major depression with ADS or with mixed features (MF) and Koukopoulos' criteria for mixed depression (MXD) were assessed using a structured clinical interview.

RESULTS

A total of 58.9% of patients met DSM-5 criteria for major depression with ADS, 48.5% for MXD, and 2.5% for major depression with MF, so that the symptoms of this specifier were excluded from the network analysis. The most frequent symptoms were difficulty concentrating due to worries (57.7%), feeling keyed up or on edge (51%) (major depression with ADS), and psychic agitation or inner tension (51%) (MXD). Psychic agitation or inner tension had a central position in the network and bridged MXD to major depression with ADS through feeling keyed up or on edge.

CONCLUSIONS

Criteria for major depression with ADS and for MXD are partially overlapping, with psychic agitation or inner tension and feeling keyed up or on edge that feature in both conditions and are difficult to distinguish in clinical practice. The clarification of the relationship between these two psychopathological conditions could bring important implications for diagnosis, prognosis, and treatment of depressive episodes.

Not Only Mania or Depression: Mixed States/Mixed Features in Paediatric Bipolar Disorders

Background: early onset is frequent in Bipolar Disorders (BDs), and it is characterised by the occurrence of mixed states (or mixed features). In this systematic review, we aimed to confirm and extend these observations by providing the prevalence rates of mixed states/features and data on associated clinical, pharmacological and psychopathological features. Methods: following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we searched from inception to 9 February 2021 for all studies investigating mixed states/mixed features in paediatric BD. Data were independently extracted by multiple observers. The prevalence rates of mixed states/features for each study were calculated. Results: eleven studies were included in our review, involving a total patient population of 1365 individuals. Overall, of the patients with paediatric age BD, 55.2% had mixed states/features (95% CI 40.1–70.3). Children with mixed states/features presented with high rates of comorbidities, in particular, with Attention Deficit Hyperactivity Disorder (ADHD). Evidences regarding the psychopathology and treatment response of mixed states/features are currently insufficient. Conclusions: our findings suggested that mixed states/features are extremely frequent in children and adolescents with BD and are characterised by high levels of comorbidity. Future investigations should focus on the relationship between mixed states/features and psychopathological dimensions as well as on the response to pharmacological treatment.

Characteristics Associated with Depression Severity in 270 Juveniles in a Major Depressive Episode

Introduction: Severe depression is prevalent in young persons and can lead to disability and elevated suicidal risk. Objectives: To identify clinical and demographic factors associated with the severity of depression in juveniles diagnosed with a major mood disorder, as a contribution to improving clinical treatment and reducing risk of suicide. Methods: We analyzed factors associated with depression severity in 270 juveniles (aged 6-18 years) in a major depressive episode, evaluated and treated at the Bambino Gesù Children's Hospital of Rome. Depressive symptoms were rated with the revised Children's Depression Rating Scale (CDRS-R) and manic symptoms with the Kiddie Schedule for Affective Disorders and Schizophrenia (K-SADS) Mania Rating Scale (K-SADS-MRS). Bivariate comparisons were followed by multivariable linear regression modeling. Results: Depression severity was greater among females than males (55.0 vs. 47.2), with the diagnosis of a major depressive disorder (MDD) vs. bipolar disorder (BD; 53.8 vs. 49.3), and tended to increase with age (slope = 1.14). Some symptoms typical of mania were associated with greater depression severity, including mood lability, hallucinations, delusions, and irritability, whereas less likely symptoms were hyperactivity, pressured speech, grandiosity, high energy, and distractibility. Factors independently and significantly associated with greater depression severity in multivariable linear regression modeling were: MDD vs. BD diagnosis, female sex, higher anxiety ratings, mood lability, and irritability. Conclusions: Severe depression was significantly associated with female sex, the presence of some manic or psychotic symptoms, and with apparent unipolar MDD. Manic/psychotic symptoms should be assessed carefully when evaluating a juvenile depressive episode and considered in treatment planning in an effort to balance risks of antidepressants and the potential value of mood-stabilizing and antimanic agents to decrease the severity of acute episodes and reduce suicidal risk.

Diagnosing and treating major depressive episodes that lie along the mood disorders spectrum: focus on depression with mixed features

Growing evidence indicates that historical descriptions of mixed depression-broadly defined as major depressive episodes with subthreshold manic or hypomanic (hypo/manic) symptoms-are incredibly clinically relevant in this day-and-age. However, the first operational definition of mixed depression did not occur in the modern nomenclature until 2013 with publication of Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5), and there has not been enough time to evaluate these criteria empirically. Thus, the most valid operational definition of a mixed depressive episode is still unknown, widely accepted treatment guidelines are not available, and no treatment has regulatory approval for mixed depression-whether associated with bipolar I disorder, bipolar II disorder, or major depressive disorder. This is despite seven drugs having regulatory indications for mixed episodes, defined as the co-occurrence of syndromal depression and syndromal mania, and now recognized as mania with mixed features by DSM-5. Indeed, we found only two randomized, placebo-controlled trials in patients with protocol defined mixed depression, one with ziprasidone and one with lurasidone. Both studies were positive, suggesting treatment with second-generation antipsychotics may be helpful for mixed depressive episodes associated with bipolar II or unipolar disorder. We found no randomized control trial of antidepressant monotherapy in mixed depression and many clinical reports that such treatment may worsen mixed depression Randomized, placebo-controlled trials of antidepressants, antipsychotics, and mood stabilizers-alone and in combination-in individuals with carefully defined mixed depression are needed before firm treatment guidelines can be produced.

An alternative approach to future diagnostic standards for major depressive disorder

During the period extending from 1780 to 1880, the conceptualization of melancholia changed from an intellectual to a mood model. The modern view of depression, based on Kraepelinian dualism, has reflected changes in opinion on psychiatric taxonomy of individual melancholia. From the point of view of an "operational revolution," the diagnostic criteria for major depressive disorder in the Diagnostic and Statistical Manual of Mental Disorders, 3rd edition (DSM-III) were based on a neoKraepelinian approach rooted in disease essentialism. In the revision process from the DSM-IV to the DSM-5, a combined dimensional and categorial approach was used. In the DSM-5, the diagnostic criteria for major depressive disorder are polythetic and operational in approach reflecting the heterogeneity of major depressive disorder. Although 227 different symptom combinations fulfilling the diagnostic criteria for major depressive disorder can be theoretically calculated, certain symptom combinations are more prevalent than others in real clinical situations. The heterogeneity of these operational criteria for major depressive disorder have been criticized in a manner informed by the Wittgensteinian analogy of the language game. Herein, our network analysis proposes a novel perspective on the psychopathology of major depressive disorder. The novel approach suggested here may lay the foundation for a redefinition of the traditional taxonomy of depression.

The Koukopoulos mixed depression rating scale (KMDRS) and the assessment of mixed symptoms during the perinatal period

BACKGROUND

Mixed symptoms in depression may underlie bipolar diathesis rather than unipolarity. Uncovering mixed depression (MxD) is crucial for appropriate management, especially in the perinatal period, as it may affect treatment planning and impact future child development. We used a scale specific for identifying MxD and tested its validity in pregnant and postpartum women with depression.

METHODS

Women developing a major depressive episode (MDE) during their perinatal period extending from pregnancy to one year postpartum from November-2012 through June-2019 were assessed with BPRS-18, EPDS, CGI-S, GAF, HAM-A, HAM-D, Koukopoulos' Mixed Depression Rating Scale (KMDRS), TEMPS, and YMRS. They were classified, based on KMDRS criteria, as with mixed (MxD) or without (nonMxD) mixed symptoms. We conducted ROC analysis and performed factor analysis of the KMDRS.

RESULTS

Of 45 included, MxD (N = 19) were biased towards diagnosis of bipolar disorder and nonMxD (N = 26) towards major depressive disorder. Other sociodemographic variables did not differ significantly between MxD and nonMxD. MxD scored higher on total YMRS, BPRS, and KMDRS, and on KMDRS-6 Subjective Feelings of Irritability and KMDRS-12 Suicidal Impulsiveness items. The KMDRS correlated in the entire sample, in MxD and nonMxD, with the YMRS and the BPRS, while correlating with the HAM-D in nonMxD only. The KMDRS showed acceptable AUC distribution, with a 68% sensitivity and 58% specificity. Best-fit was three-factor-structure, explaining 54.66% of cumulative variance.

LIMITATIONS

Small sample and cross-sectional design.

CONCLUSIONS

The KMDRS is fit for investigating MxD along with the YMRS and the BPRS in perinatal women with a MDE.

An organization- and category-level comparison of diagnostic requirements for mental disorders in ICD-11 and DSM-5

In 2013, the American Psychiatric Association (APA) published the 5th edition of its Diagnostic and Statistical Manual of Mental Disorders (DSM-5). In 2019, the World Health Assembly approved the 11th revision of the International Classification of Diseases (ICD-11). It has often been suggested that the field would benefit from a single, unified classification of mental disorders, although the priorities and constituencies of the two sponsoring organizations are quite different. During the development of the ICD-11 and DSM-5, the World Health Organization (WHO) and the APA made efforts toward harmonizing the two systems, including the appointment of an ICD-DSM Harmonization Group. This paper evaluates the success of these harmonization efforts and provides a guide for practitioners, researchers and policy makers describing the differences between the two systems at both the organizational and the disorder level. The organization of the two classifications of mental disorders is substantially similar. There are nineteen ICD-11 disorder categories that do not appear in DSM-5, and seven DSM-5 disorder categories that do not appear in the ICD-11. We compared the Essential Features section of the ICD-11 Clinical Descriptions and Diagnostic Guidelines (CDDG) with the DSM-5 criteria sets for 103 diagnostic entities that appear in both systems. We rated 20 disorders (19.4%) as having major differences, 42 disorders (40.8%) as having minor definitional differences, 10 disorders (9.7%) as having minor differences due to greater degree of specification in DSM-5, and 31 disorders (30.1%) as essentially identical. Detailed descriptions of the major differences and some of the most important minor differences, with their rationale and related evidence, are provided. The ICD and DSM are now closer than at any time since the ICD-8 and DSM-II. Differences are largely based on the differing priorities and uses of the two diagnostic systems and on differing interpretations of the evidence. Substantively divergent approaches allow for empirical comparisons of validity and utility and can contribute to advances in the field.

Clinical correlates of DSM-5 mixed features in bipolar disorder: A meta-analysis

BACKGROUND

Systematic data on clinical correlates of mixed features in bipolar disorder are not available, so far. We conducted a systematic review and meta-analysis estimating the association between DSM-5 mixed features and candidate characteristics in depressive and manic/hypomanic episodes.

METHODS

We included observational studies indexed in the main electronic databases. The association between DSM-5 mixed features and relevant correlates was estimated using odds ratio (OR) and standardized mean difference (SMD) with 95% confidence intervals (CIs), for categorical and continuous variables, respectively. Analyses were based on random effects models.

RESULTS

Eight studies were included, involving 3070 individuals (1495 with a major depressive episode and 1575 with hypo/manic episode). No clinical characteristics were associated with mixed features in subjects with a depressive episode. Among subjects with a manic/hypomanic episode, those with mixed features were more likely to have a history of suicide attempts (OR: 2.37; 95%CI: 1.42 to 3.94; I²=39.7%), co-occurring anxiety disorders (OR: 2.67; 95%CI: 1.28 to 5.57; I²=0%), and a rapid cycling course (OR=4.23; 95%CI: 1.29 to 13.81; I²=0%), with less severe manic symptoms (SMD=-0.40; 95%CI: -0.65 to -0.16; I²=0%).

LIMITATIONS

(1) the heterogeneity of methods across studies and the inconsistency of findings; (2) the limited amount of data on correlates of DSM-5 mixed features; (3) the possible influence of publication bias.

CONCLUSIONS

Findings of this meta-analysis show that mixed features among individuals with a manic/hypomanic episode may identify a special clinical population, characterized not only by depressive symptoms, but also by anxiety, rapid cycling, and suicidality.

Cariprazine efficacy in bipolar I depression with and without concurrent manic symptoms: post hoc analysis of 3 randomized, placebo-controlled studies

OBJECTIVE

Mixed presentations, defined by simultaneous occurrence of depressive and manic symptoms, are difficult to treat. Antidepressants, although commonly used, have weak evidence of efficacy and may increase risk of mood destabilization. The aim of this pooled post hoc analysis was to evaluate the efficacy of cariprazine in the treatment of bipolar depression with or without concurrent manic symptoms.

METHODS

Patients from 3 randomized, double-blind, placebo-controlled studies who met DSM-IV-TR or DSM-5 criteria for bipolar I disorder with a current major depressive episode were identified to have concurrent manic symptoms by baseline Young Mania Rating Scale total score ≥4. Efficacy was assessed in cariprazine 1.5 and 3 mg/day dose groups versus placebo; analyses included the least squares mean change from baseline to week 6 in Montgomery-Åsberg Depression Rating Scale (MADRS) total score.

RESULTS

Of 1383 patients randomized to treatment, 808 (58.4%) had concurrent manic symptoms. For patients with manic symptoms, mean reduction in MADRS total score from baseline to week 6 was significantly greater for both cariprazine 1.5 and 3 mg/day compared with placebo, with least squares mean differences (LSMDs) versus placebo of -2.5 (p = .0033) and -2.9 (p = .0010), respectively; for patients without manic symptoms, the LSMD was significant for 1.5 mg/day (-3.3; p = .0008), but not for 3 mg/day (-1.9; p = .0562).

CONCLUSION

The results of this post hoc analysis suggest that cariprazine may be an appropriate treatment option for patients with bipolar I depression with or without manic symptoms, with higher doses potentially more effective in patients with manic symptoms.

Predominant polarity and hippocampal subfield volumes in Bipolar disorders

OBJECTIVES

Predominant polarity (PP) is a proposed course specifier for bipolar disorders (BD) based on patient lifetime mood episodes. Hippocampal subfield volumetric changes have been proposed as a neurobiological marker for BD and could be influenced by mood episodes. Our study aimed to test the hypothesis that patients with BD differ in hippocampal subfield volumes according to their PP.

METHODS

We assessed 172 outpatients, diagnosed with BD according to DSM-IV-TR criteria, and 150 healthy control (HC) participants. High-resolution magnetic resonance imaging was performed on all subjects and volumes of all hippocampal subfields were measured using FreeSurfer.

RESULTS

Patients with depressive PP (BD-DP) and with uncertain PP (BD-UP) but not with manic/hypomanic PP (BD-MP) showed a global reduction on all hippocampal subfield volumes with respect to HCs. When directly compared, BD-DP presented with smaller bilateral presubiculum/subiculum volumes than BD-MP.

CONCLUSIONS

Results support the potential utility of PP not only as a clinical but also as a neurobiological specifier of BD.

The use of lithium in mixed states

Lithium is a unique drug. In more than 60 years of observation, it showed its multiple important clinical properties in treating mania, stabilizing mood alterations, preventing suicide and protecting from neurodegeneration. It was also the most extensively studied drug in psychiatry. Nevertheless, it is generally underprescribed. Specifically, lithium is virtually not considered in the treatment of patients affected by mixed affective states. Lithium is not suggested for the acute treatment of mixed affective states and is considered to be less effective than other mood stabilizers in the long-term management of these patients. The main reason why lithium has no indication for mixed states is the "lack of evidence." Actually, there are several reasons to consider lithium as an effective treatment in patients with mixed affective states.

Melancholia: does this ancient concept have contemporary utility?

Many efforts have been made to develop coherent and clinically useful categories of depressive illness, especially to facilitate prediction of morbidity and guide treatment-response. They include proposals to resurrect the ancient concept of melancholia, as a form of severe depression with particular symptomatic and proposed psychobiological characteristics. However, modern research is inconsistent in supporting differences between melancholic and nonmelancholic depression. In our recent study of over 3200 patient-subjects with DSM-5 major depressive episodes with/without melancholic characteristics, and matched for illness severity, prevalence of melancholic features was 35.2% with remarkably few clinical and demographic differences between melancholic and nonmelancholic subjects. Also, our systematic review of trials comparing melancholic and nonmelancholic subjects found little difference in responses to antidepressant treatments. These findings indicate that the concept of melancholia may have limited value for clinical prediction and treatment-selection. Overlap of symptoms in melancholic and nonmelancholic depression, based on DSM criteria, may limit distinction of melancholia; alternative definitions can be sought, and psychomotor retardation is a particularly strong differentiating feature. For now, however, melancholia seems best considered a state-dependent depression-type strongly associated with greater symptomatic severity, rather than a distinct syndrome. Its DSM-5 current status as a depression-type specifier seems appropriate, and it may be a logical target for genetic and other biomedical studies.

Depression Preceding Diagnosis of Bipolar Disorder

This paper focuses on depression that precedes an onset of manifest bipolar disorder as early stage bipolar disorder. First, we review how to pragmatically identify the clinical characteristics of patients presenting with an episode of depression who subsequently go on to develop episodes of mania or hypomania. The existing literature shows a strong consensus: accurate identification of depression with early onset and recurrent course with multiple episodes, subthreshold hypomanic and/or mixed symptoms, and family history of bipolar disorder or completed suicide have been shown by multiple authors as signs pointing to bipolar diagnosis. This contrasts with relatively limited information available to guide management of such "pre-bipolar" (pre-declared bipolar) patients, especially those in the adult age range. Default assumption of unipolar depression at this stage carries significant risk. Antidepressants are still the most common pharmacological treatment used, but clinicians need to be aware of their potential harm. In some patients with unrecognized bipolar depression, antidepressants can not only produce switch to (hypo)mania, but also mixed symptoms, or worsening of depression with an increased risk of suicide. We review pragmatic management strategies in the literature beyond clinical guidelines that can be considered for this at-risk group encompassing the more recent child and adolescent literature. In the future, genetic research could make the early identification of bipolar depression easier by generating informative markers and polygenic risk scores.

State-of-the-Art: Inflammatory and Metabolic Markers in Mood Disorders

Mounting evidence highlights the involvement of inflammatory/immune systems and their relationships with neurotransmitters and different metabolic processes in mood disorders. Nevertheless, there is a general agreement that available findings are still inconclusive. Therefore, further investigations are required, aimed at deepening the role of possible alterations of biomarkers in the pathophysiology of mood disorders that might lead to more focused and tailored treatments. The present study is a comprehensive review on these topics that seem to represent intriguing avenues for the development of real innovative therapeutic strategies of mood disorders.

Symptom networks in acute depression across bipolar and major depressive disorders: A network analysis on a large, international, observational study

Major Depressive Episode (MDE) is a transdiagnostic nosographic construct straddling Major Depressive (MDD) and Bipolar Disorder (BD). Prognostic and treatment implications warrant a differentiation between these two disorders. Network analysis is a novel approach that outlines symptoms interactions in psychopathological networks. We investigated the interplay among depressive and mixed symptoms in acutely depressed MDD/BD patients, using a data-driven approach. We analyzed 7 DSM-IV-TR criteria for MDE and 14 researched-based criteria for mixed features (RBDC) in 2758 acutely depressed MDD/BD patients from the BRIDGE-II-Mix study. The global network was described in terms of symptom thresholds and symptom centrality. Symptom endorsement rates were compared across diagnostic subgroups. Subsequently, MDD/BD differences in symptom-network structure were examined using permutation-based network comparison test. Mixed symptoms were the most central and highly interconnected nodes in the network, particularly agitation followed by irritability. Despite mixed symptoms, appetite gain and hypersomnia were significantly more endorsed in BD patients, associations between symptoms were highly correlated across MDD/BD (Spearman's r = 0.96, p<0.001). Network comparison tests showed no significant differences among MDD/BD in network strength, structure, or specific edges, with strong edges correlations (0.66-0.78). Upstream differences in MDD/BD may produce similar symptoms networks downstream during acute depression. Yet, mixed symptoms, appetite gain and hypersomnia are associated to BD rather than MDD. Symptoms during mixed-MDE might aggregate according to 2 different clusters, suggesting a possible stratification within mixed states. Future symptom-based studies should implement clinical, longitudinal, and biological factors, in order to establish tailored therapeutic strategies for acute depression.

A Review of Antidepressant-Associated Hypomania in Those Diagnosed with Unipolar Depression-Risk Factors, Conceptual Models, and Management

PURPOSE OF REVIEW

The nosology and management of antidepressant-associated hypomania (AAH) in the treatment of unipolar depression requires clarification. We sought to review recent studies examining AAH, focusing on risk factors, differing explanatory models, and management strategies.

RECENT FINDINGS

AAH occurs more frequently in those of female gender, younger age, and with a bipolar disorder (BP) family history. Depressive features (e.g., suicidal ideation, psychotic symptoms) in those with AAH were similar to those with established BPs. Explanatory models for AAH describe it as (i) a transient iatrogenic event, (ii) a specific "bipolar III" disorder, (iii) indicative of "conversion" to BP, (iv) acceleration of BP, and (v) coincidental and unrelated to antidepressant medication. Management recommendations include antidepressant cessation, atypical antipsychotic medications, or switching to a mood stabilizer. Determinants and management of AAH in the treatment of unipolar depression requires considerable clarification, likely to be achieved by close clinical review and refined research studies.

The Ring of Fire: Childhood Trauma, Emotional Reactivity, and Mixed States in Mood Disorders

Childhood trauma (CT) is strongly associated with bipolar disorder, possibly through emotional hyperreactivity (EH). Mixed symptoms/states (MSs) are associated with increased illness severity. The authors tested through a systematic review the association between CT and MSs. The authors systematically looked for studies exploring associations between MSs and CT, CT and EH, and EH and MSs. Most literature agrees that MSs are associated with CT; the latter was found to be associated to EH, which is in turn associated with MSs. The literature supports an association between CT and later development of MSs, possibly mediated through EH.

Suicidal Behavior Associated with Mixed Features in Major Mood Disorders

Mixed features of the opposite nominal mood-polarity are increasingly recognized in both depressive and [hypo]manic phases of major affective disorders. They are associated with major increases of risk of suicidal behaviors. The authors reviewed the association of suicidal behavior with mixed features in both major depressive and bipolar disorders, as well as potentially relevant adverse effects of antidepressant treatment and use of alternative treatments aimed at minimizing agitation and suicidal risk.

Clinical Picture, Temperament, and Personality of Patients with Mixed States

The construct of mixed states is a robust clinical entity with a high variability of prevalence according to different diagnostic criteria. Despite the changes over the years, current official diagnostic criteria still have poor clinical usefulness. Premorbid characteristics with a potential high clinical importance such as temperament, personality, and emotional reactivity are understudied in patients with mixed states and excluded from the current nosologic systems. The authors provide an overview of current nosography and clinical pictures of mixed states and discuss the role of temperament, personality, and emotional reactivity in mixed states.

Psychopathology of Mixed States

Mixed states are frequent clinical pictures in psychiatric practice but are not well described in nosologic systems. Debate exists as to defining mixed states. We review factor and cluster analytical studies and prominent clinical/conceptual models of mixed states. While mania involves standard manic symptoms and depression involves standard depressive symptoms, core additional features of the mixed state are, primarily, psychomotor activation and, secondarily, dysphoria. Those features are more pronounced in mixed mania than in mixed depression but are present in both.

Perinatal Mixed Affective State: Wherefore Art Thou?

Mixed states in patients with a perinatal mood episode is seldom encountered. Lack of appropriate assessment tools could be partly responsible for this observation. The authors conducted a selective review of studies dealing with the reporting of mixed symptoms in women during the perinatal period with the intention to quantify the phenomenon. In many instances of reported postpartum depression, either a first onset or an onset in the context of bipolar disorder, mixed states were identifiable. However, the strict application of the Diagnostic and Statistical Manual of Mental Disorders, 5th edition, mixed features specifier to these episodes risks misdiagnosis.

Diagnosis, Clinical Features, and Therapeutic Implications of Agitated Depression

Agitated "unipolar" depression is a clinical entity characterized by excitement together with depressed mood during the same episode. The clinical picture of agitated "unipolar" depression is characterized by a depressed and anxious mood with inner, psychic agitation, whereas motor agitation may or may not be present. Some investigators have conceptualized this disorder as a mixed affective state, laying on the bipolar disorder spectrum, but controversies still persist. The diagnosis of agitated "unipolar" depression has important prognostic and therapeutic implications, with many clinicians reporting difficulties to adequately diagnose and treat it.

The Role of Electroconvulsive Therapy in the Treatment of Severe Bipolar Mixed State

Electroconvulsive therapy (ECT) results effective in two-thirds of the patients with severe and drug-resistant mixed states. The episode duration is the main predictor of nonresponse. This practice may increase the risk of mood destabilization and chronic complications and may decrease the chance of recovery in many patients. Compared with the burden of neurologic and metabolic side effects associated with long-term use of complex pharmacologic regimens, ECT should be considered a safe option with a very low incidence of severe adverse events and a long-term nondestabilizing effect.

Mixed States: Historical Impact and Evolution of the Concept

Mixed states have been discussed for more than 2 millennia. The theoretic conception of the coexistence of presumably opposite symptoms of mood or of different psychic domains is well established, although obscured by the presumed separation between bipolar and depressive disorders. Moreover, the lack of response to treatments and severe psychopathology raise important issues requiring urgent solution. The aim of this article was to review the development of the concept of mixed states from the classic literature to modern nosologic systems and to claim for the need of a new paradigm to address the still-open issues about mixed states.

Mixed Features in Depression: The Unmet Needs of Diagnostic and Statistical Manual of Mental Disorders Fifth Edition

The Diagnostic and Statistical Manual of Mental Disorders Fifth Edition introduced the specifier "with mixed features" including 3 or more nonoverlapping typical manic symptoms during a major depressive episode in bipolar disorder type I or II or unipolar major depressive disorder. Excluding overlapping excitatory symptoms, which are frequently observed in mixed depression, leaves many patients with mixed depression undiagnosed. As a consequence, alternative diagnostic criteria have been proposed, claiming for the inclusion in the rubric of mixed features the following symptoms: psychomotor agitation, mood lability, and aggressiveness. A deeper diagnostic reconsideration of mixed features in depression should be provided by the new nosologic classification systems.

Treatment of Mixed Features in Bipolar Disorder: an Updated View

PURPOSE OF REVIEW

Mixed presentations in bipolar disorder have long posed clinical and nosological challenges. The DSM-5 mixed features specifier was developed to provide a more flexible and clinically relevant definition of mixed presentations compared with narrowly defined DSM-IV mixed episodes. However, there is little guidance on treating such presentations. Here, we summarize the evidence for biological treatments of DSM-5 and similarly defined mixed features (MFs).

RECENT FINDINGS

The literature on treating MFs is almost exclusively based on post hoc analyses. Within this limited evidence base is preliminary positive data for aripiprazole, asenapine, cariprazine, olanzapine, risperidone, and ziprasidone in treating acute mania with MFs, and cariprazine, lurasidone, olanzapine, and ziprasidone for depressive symptoms in depression with MFs. Divalproex may also be efficacious for acute mania with MFs. The few extant maintenance studies suggest that divalproex and olanzapine may have long-term efficacy in those with index MFs or for the prevention of MFs, respectively. The existing evidence suggests that clinicians consider atypical antipsychotics and divalproex for treating acute mixed presentations. However, adequately powered treatment trials-and studies of maintenance and neurostimulation therapies-are needed. Additionally, data-driven techniques to identify relevant symptom clusters may help improve our conceptualization of mixed presentations.

Validity of the Shahin Mixed Depression Scale: A Self-Rated Instrument Designed to Measure the Non-DSM Mixed Features in Depression

BACKGROUND

The DSM5-defined mixed features in depression do not include psychomotor agitation, irritability or distractibility because they are considered overlapping symptoms. A growing number of modern psychiatrists have expressed dissatisfaction with this and proposed alternative sets of mixed symptoms that are much more common and clinically relevant. Among such alternative criteria were those proposed by Koukopoulos. He utilized the research diagnostic criteria of agitated depression (RDC-A) as a mixed depression subtype, and validated another form of mixed depression, the Koukopoulos criteria for mixed depression (K-DMX).

PURPOSE

This study provides psychometric validation for the first self-rated scale designed to measure the most common mixed symptoms in depression as proposed by Koukopoulos.

PATIENTS AND METHODS

We conducted a multicenter cross-sectional study of 170 patients with unipolar depression. They completed the Shahin Mixed Depression Scale (SMDS) and underwent expert interviews as a gold standard reference. SMDS' psychometric properties were assessed, including Cronbach's alpha, factor analysis, sensitivity, specificity, predictive value and accuracy.

RESULTS

We found significant association and agreement between mixity according to SMDS and the gold standard (K-DMX and RDC-A according to expert interview) with good internal consistency (Cronbach's alpha=0.87), high sensitivity (=91.4%), specificity (=98.0%), positive predictive value (=96.9%), negative predictive value (= 94.2%) and accuracy (=95.2%). Factor analysis identified one factor for psychomotor agitation and another for mixity without psychomotor agitation.

CONCLUSION

SMDS was a reliable and valid instrument for assessing the frequently encountered and clinically relevant mixed features in depression.

Associations of Adverse Childhood Experiences with Past-Year DSM-5 Psychiatric and Substance Use Disorders in Older Adults

OBJECTIVES

To examine the prevalence of adverse childhood experiences (ACEs) and the associations of ACEs with psychiatric and substance use disorders among older adults in the United States.

DESIGN

Cross-sectional analysis of the 2012-2013 National Epidemiological Survey on Alcohol and Related Conditions Wave III (NESARC-III).

SETTING

Nationally representative drug-related health interview survey in the United States.

PARTICIPANTS

Survey respondents aged 65 or older (n = 5806 unweighted).

MEASUREMENTS

ACEs, the key independent variable, were assessed using validated measures. Outcome variables consisted of past-year psychiatric disorders (eg, major depressive disorder and generalized anxiety disorder) and substance use disorders (eg, alcohol use disorder) using criteria from the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. We estimated the national prevalence of ACEs in older adults and used multivariable-adjusted logistic regression analyses to assess the association between ACEs and the outcomes after adjusting for sociodemographics and clinical comorbidities.

RESULTS

Overall, 35.9% of older adults, representative of 14.8 million older adults nationwide, reported some form of ACEs. The most common types were parental psychopathology (20.3%), other traumatic events (14.0%), and physical/psychological abuse (8.4%). Having experienced any ACEs was associated with higher odds of having a past-year psychiatric disorder (adjusted odds ratio = 2.11; 95% confidence interval = 1.74-2.56). Similar results were found for substance use disorders (P < .01).

CONCLUSION

ACEs are linked to an increased risk for past-year psychiatric and substance use disorders in older adults. ACEs may have long-term effects on older adults' mental well-being. Although further research is needed, preventing ACEs may lead to large improvements in public mental health that persist well into older age. J Am Geriatr Soc 67:2085-2093, 2019.

Agitated depression in bipolar disorder

OBJECTIVES

It has been suggested that agitated depression (AD) is a common, severe feature in bipolar disorder. We aimed to estimate the prevalence of AD and investigate whether presence of AD was associated with episodic and lifetime clinical features in a large well-characterized bipolar disorder sample.

METHOD

The prevalence of agitation, based on semi-structured interview and medical case-notes, in the most severe depressive episode was estimated in 2925 individuals with DSM-IV bipolar disorder recruited into the UK Bipolar Disorder Research Network. Predictors of agitation were ascertained using symptoms within the same episode and lifetime clinical features using multivariate models.

RESULTS

32.3% (n = 946) experienced agitation during the worst depressive episode. Within the same episode, significant predictors of presence of agitation were: insomnia (OR 2.119, P < 0.001), poor concentration (OR 1.966, P = 0.027), decreased libido (OR 1.960, P < 0.001), suicidal ideation (OR 1.861, P < 0.001), slowed activity (OR 1.504, P = 0.001), and poor appetite (OR 1.297, P = 0.029). Over the lifetime illness course, co-morbid panic disorder (OR 2.000, P < 0.001), suicide attempt (OR 1.399, P = 0.007), and dysphoric mania (OR 1.354, P = 0.017) were significantly associated with AD.

CONCLUSIONS

Agitation accompanied bipolar depression in at least one-third of cases in our sample and was associated with concurrent somatic depressive symptoms, which are also common features of mixed manic states. Furthermore, AD in our sample was associated with lifetime experience of mixed mania, in addition to severe lifetime illness course including comorbid panic disorder and suicidal behavior. Our results have implications for the diagnosis and treatment of agitated features in bipolar depression.

Melancholia: An Attempt at Definition Based on a Review of Empirical Data

We sought to identify clinical features that best discriminate melancholia from nonmelancholic depressive conditions. An extensive review of studies using latent factor models that identified a melancholic depression dimension/factor was undertaken. Clinical variables extracted from these studies were analyzed in terms of their contribution to a diagnosis of melancholia and their consistency across studies. Psychomotor retardation and mood nonreactivity were the most relevant clinical features for the identification of melancholic depressions. Other clinical features commonly described as weighted to melancholia, such as anhedonia, psychomotor agitation, late insomnia, or appetite/weight loss, seemed less useful in distinguishing these subtypes of depression. Study results are considered in relation to the potential limitations of current operational definitions of melancholia, and how symptom sets could be modified.

The role of overlapping excitatory symptoms in major depression: are they relevant for the diagnosis of mixed state?

BACKGROUND

DSM-5 and ICD-11 define mixed depression as the presence of non-overlapping symptoms of opposite polarity during a major depressive episode. However, such a definition has generated controversy.

METHODS

2720 patients with major depression, enrolled in BRIDGE-II-MIX cross-sectional study, were subdivided in clusters using a k-medoids algorithm based on 32 clinical features. Clinical variables were compared among clusters. Stepwise logistic regression and random forest predictor importance estimates were used to identify which features best predicted cluster membership. Data-driven criteria were compared with DSM-5 mixed specifier and previously proposed research-based criteria (RBDC).

RESULTS

Two clusters were identified (MDE ± MX), mainly reflecting differences in current manic symptoms. As expected, MDE + MX showed higher rates of comorbidities and bipolar features, more previous depressive episodes and suicide attempts, shorter duration of current MDE and lower age at onset. Seven clinical features among the original 32 proved to be the best predictors of cluster membership. Derived criteria perfectly allocated subjects in clusters, requiring at least four features out of the following seven: irritability, emotional lability, psychomotor agitation, distractibility, mood reactivity, absence of reduced appetite, and absence of psychomotor retardation. RBDC showed a better performance than DSM-5 in identifying MDE + MX subjects.

CONCLUSION

Our results strongly suggest a predominant role for overlapping "manic" symptoms in defining mixed depressive states. Mixed depression is better identified by the presence of excitatory features shared with mania and atypical features rather than by non-overlapping manic symptoms.

Clinical course predicts long-term outcomes in bipolar disorder

BACKGROUND

The long-term outcomes of bipolar disorder range from lasting remission to chronic course or frequent recurrences requiring admissions. The distinction between bipolar I and II disorders has limited utility in outcome prediction. It is unclear to what extent the clinical course of bipolar disorder predicts long-term outcomes.

METHODS

A representative sample of 191 individuals diagnosed with bipolar I or II disorder was recruited and followed for up to 5 years using a life-chart method. We previously described the clinical course over the first 18 months with dimensional course characteristics and latent classes. Now we test if these course characteristics predict long-term outcomes, including time ill (time with any mood symptoms) and hospital admissions over a second non-overlapping follow-up period in 111 individuals with available data from both 18 months and 5 years follow-ups.

RESULTS

Dimensional course characteristics from the first 18 months prospectively predicted outcomes over the following 3.5 years. The proportion of time depressed, the severity of depressive symptoms and the proportion of time manic predicted more time ill. The proportion of time manic, the severity of manic symptoms and depression-to-mania switching predicted a greater likelihood of hospital admissions. All predictions remained significant after controlling for age, sex and bipolar I v. II disorder.

CONCLUSIONS

Differential associations with long-term outcomes suggest that course characteristics may facilitate care planning with greater predictive validity than established types of bipolar disorders. A clinical course dominated by depressive symptoms predicts a greater proportion of time ill. A clinical course characterized by manic episodes predicts hospital admissions.

Anxiety and Depression Predict the Paths Through Which Rumination Acts on Behavior: A Daily Diary Study

Introduction: Rumination—thinking passively, negatively, and repetitively—is a common cognitive process that is associated with poor health behaviors. Rumination impacts health behaviors through two distinct behavioral pathways: acting too quickly (impulsivity) or not acting at all (amotivation), though no research to date has examined the conditions under which rumination may manifest in these two disparate behavioral paths. The presence of anxiety and depression may lead to the behavioral manifestations of rumination, which may then differentially impact health behavior patterns. In this study, we tested whether individuals reporting anxiety who ruminate will then act impulsively and individuals reporting depression who ruminate will then not act in the context of their daily health behaviors.

Methods: We recruited 285 college students (mean age = 19.3; 76.8% female; 79.4% Caucasian) and had them complete a baseline survey and an 11-day online daily diary to assess associations among anxiety, depression, rumination, and health behaviors.

Results: Rumination predicted health behaviors through both impulsivity and amotivation as expected. Moderation models revealed that rumination in the context of anxiety leads to impulsivity and rumination in the context of depression leads to amotivation. Limitations: The undergraduate sample limits the generalizability of this data.

Discussion: These results show that those who report depression or anxiety are likely to experience more daily rumination and the deleterious behavioral manifestations of that rumination, which then affects health behavior engagement or avoidance. Future behavioral health interventions can perhaps specifically target impulsivity among individuals reporting anxiety and amotivation among individuals reporting depression in order to promote more healthy behaviors.