Background: The 33-item Hypomania Checklist (HCL-33) has been shown to distinguish between adolescent bipolar disorder (BD) and unipolar depression. To investigate the utility of the HCL-33 as a screening tool in routine diagnostics, the frequency and psychopathological characteristics of detected individuals in a mixed psychiatric sample necessitate more examination.
Methods: The HCL-33, Children's Depression Inventory, Beck's Anxiety Inventory, and Strengths and Difficulties Questionnaire were completed by 285 children and adolescents (12-18 years) in a mixed psychiatric sample.
Aims: To assess electroconvulsive therapy (ECT) outcomes in patients affected by depressive symptoms with versus without additional comorbid personality disorders/traits.
Methods: We identified observational studies investigating ECT clinical outcomes in patients affected by depressive symptoms with versus without comorbid personality disorders/traits in Embase/Medline in 11/2022. Our protocol was registered with PROSPERO (CRD42023390833).
Soil microbes impact plant community structure and diversity through plant-soil feedbacks. However, linking the relative abundance of plant pathogens and mutualists to differential plant recruitment remains challenging. Here, we tested for microbial mediation of pairwise feedback using a reciprocal transplant experiment in a lowland tropical forest in Panama paired with amplicon sequencing of soil and roots.
View Article and Find Full Text PDFBackground: The aim of the present study is to evaluate the role of individual affective temperaments as clinical predictors of bipolarity in the clinical setting.
Methods: The affective temperaments of 1723 consecutive adult outpatients presenting for various symptoms to a university-based mental health clinical setting were assessed. Patients were administered the Hypomania Checklist-32 and the Temperament Evaluation of Memphis, Pisa, Paris, and San Diego - Auto-questionnaire (TEMPS-A) and were diagnosed by psychiatrists according to the DSM-5 criteria.
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.
View Article and Find Full Text PDFBackground: Bipolar disorder (BD) is often misdiagnosed, leading to poor treatment outcomes. Thus, accurate assessment of BD is of great importance, including in BD adolescents. The aim of the study was to explore the psychometric properties of the 33-item Hypomania Checklist-External Assessment (HCL-33-EA) in depressed adolescents.
View Article and Find Full Text PDFBackground And Objective: Studies exploring longitudinal reciprocal associations between depressive, anxiety, and substance use disorders (DD, AD and SUD, respectively) over long periods of time are mainly lacking. Therefore, the aim of the present study is to test longitudinal associations (i.e.
View Article and Find Full Text PDFBackground: Adolescents with bipolar disorder (BD) are often misdiagnosed as having major depressive disorder (MDD), which delays appropriate treatment and leads to adverse outcomes. The aim of this study was to compare the performance of the 33-item Hypomania Checklist (HCL-33) with the 33-item Hypomania Checklist- external assessment (HCL-33-EA) in adolescents with BD or MDD.
Methods: 147 adolescents with BD and 113 adolescents with MDD were consecutively recruited.
The misdiagnosis of bipolar disorder (BD) as major depressive disorder (MDD) is common in depressed older adults. The self-rated HCL-33 and its external assessment version (HCL-33-EA) have been developed to screen for hypomanic symptoms. This study compared the screening ability of these two instruments to discriminate BD from MDD.
View Article and Find Full Text PDFBackground: Bipolar disorder (BD) is often misdiagnosed as major depressive disorder (MDD) in older patients. This study examined the psychometric properties of the 33-item Hypomania Checklist (HCL-33) and its accuracy to differentiate BD from MDD among older adults.
Method: A total of 215 depressed older patients were recruited; 107 were diagnosed with BD (71 with BD-type I and 36 with BD-type II) and 108 with MDD.
Background: Adolescents with bipolar disorder (BD) are often misdiagnosed with major depressive disorder (MDD), which delays the introduction of appropriate treatment resulting in adverse outcomes. This study examined the psychometric properties of the 33-item Hypomania Checklist (HCL-33) and its accuracy to distinguish BD from MDD in adolescents.
Method: A total of 248 participants (171 MDD and 77 BD patients) were recruited from a university-affiliated hospital in China.
Objectives: The "Bipolar Disorders: Improving Diagnosis, Guidance, and Education" (BRIDGE-II-Mix) study aimed to estimate the frequency of mixed states in patients with a major depressive episode (MDE) according to different definitions and to compare their clinical validity, looking into specific features such as rapid cycling (RC).
Methods: Psychiatric symptoms, socio-demographic, and clinical variables were collected from a sample of 2811 MDE patients, of which 726 (25.8%) were diagnosed with bipolar disorder (BD).
A cross-diagnostic, post-hoc analysis of the BRIDGE-II-MIX study was performed to investigate how unipolar and bipolar patients suffering from an acute major depressive episode (MDE) cluster according to severity and duration. Duration of index episode, Clinical Global Impression-Bipolar Version-Depression (CGI-BP-D) and Global Assessment of Functioning (GAF) were used as clustering variables. MANOVA and post-hoc ANOVAs examined between-group differences in clustering variables.
View Article and Find Full Text PDFBackground: The aim was to quantify and to compare the associations between longitudinal changes in pain and depression in different chronic pain conditions.
Methods: Data were retrieved from 6 observational cohort studies. From baseline to the 6-month follow-up, the score changes on the Short Form (36) Health Survey (SF-36) bodily pain (pain) and the SF-36 mental health (depression) scales (0=worst, 100=best) were quantified, using partial correlations obtained by multiple regression.
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.
View Article and Find Full Text PDFThe impact of the comorbidity between Obsessive-Compulsive Disorder (OCD) and Bipolar Disorder Spectrum (BDS) remains to be clarified. The objective of this study was to examine the lifetime prevalence of OCD, the strength of the association of OCD with comorbid BDS and the role of comorbidity of OCD with BDS in the impairment of health-related quality of life (HRQoL) in an Italian community survey. The study is a community survey.
View Article and Find Full Text PDFBackground: The Clinical descriptions and diagnostic guidelines for the ICD-11 Classification of mental and behavioural disorders should soon be finalized. To measure their potential impact, the new proposed definitions of bipolar disorders in ICD-11 were applied to data from the Zurich cohort study and compared with the definitions of ICD-10 and DSM-5.
Results: We found little difference between ICD-11 and ICD-10 in the identification of subjects with bipolar disorders, but compared to DSM-5 a considerable increase in the diagnosis of hypomanic episodes and therefore of bipolar-II disorders.
Background: Diagnostic criteria for a major depressive episode capture heterogeneous presentations across unipolar (UD) and bipolar (BD) and first-onset (FDE) depression. We evaluated the contribution of each depressive and (hypo)manic symptom to worse functioning in UD/BD/FDE subgroups.
Methods: A post-hoc analysis of the BRIDGE-II-Mix study.
Background: Psychomotor agitation (PA) or retardation (PR) during major depressive episodes (MDEs) have been associated with depression severity in terms of treatment-resistance and course of illness.
Objectives: We investigated the possible association of psychomotor symptoms (PMSs) during a MDE with clinical features belonging to the bipolar spectrum.
Methods: The initial sample of 7689 MDE patients was divided into three subgroups based on the presence of PR, PA and non-psychomotor symptom (NPS).
Resistance and worsening of depression in response to antidepressants (ADs) are major clinical challenges. In a large international sample of patients with major depressive disorder (MDD), we aim to explore the possible associations between different patterns of response to ADs and bipolarity. A total of 2811 individuals with a major depressive episode (MDE) were enrolled in the BRIDGE-II-MIX study.
View Article and Find Full Text PDFBackground: current classifications of mood disorders focus on polarity rather than recurrence, separating bipolar disorder from major depressive disorder (MDD). The aim of the present study is to explore the possible relationships between number and frequency of depressive episodes and clinical variables associated to bipolarity, in a large sample of MDD patients.
Methods: the clinical characteristics of 7055 patients with MDD were analyzed and compared according to the number and frequency of depressive episodes.
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.