Clinical differences between unipolar and bipolar depression: interest of BDRS (Bipolar Depression Rating Scale)

Digital Phenotyping for Differential Diagnosis of Major Depressive Episode: Narrative Review

BACKGROUND

Major depressive episode (MDE) is a common clinical syndrome. It can be found in different pathologies such as major depressive disorder (MDD), bipolar disorder (BD), posttraumatic stress disorder (PTSD), or even occur in the context of psychological trauma. However, only 1 syndrome is described in international classifications (Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition [DSM-5]/International Classification of Diseases 11th Revision [ICD-11]), which do not take into account the underlying pathology at the origin of the MDE. Clinical interviews are currently the best source of information to obtain the etiological diagnosis of MDE. Nevertheless, it does not allow an early diagnosis and there are no objective measures of extracted clinical information. To remedy this, the use of digital tools and their correlation with clinical symptomatology could be useful.

OBJECTIVE

We aimed to review the current application of digital tools for MDE diagnosis while highlighting shortcomings for further research. In addition, our work was focused on digital devices easy to use during clinical interview and mental health issues where depression is common.

METHODS

We conducted a narrative review of the use of digital tools during clinical interviews for MDE by searching papers published in PubMed/MEDLINE, Web of Science, and Google Scholar databases since February 2010. The search was conducted from June to September 2021. Potentially relevant papers were then compared against a checklist for relevance and reviewed independently for inclusion, with focus on 4 allocated topics of (1) automated voice analysis, behavior analysis by (2) video and physiological measures, (3) heart rate variability (HRV), and (4) electrodermal activity (EDA). For this purpose, we were interested in 4 frequently found clinical conditions in which MDE can occur: (1) MDD, (2) BD, (3) PTSD, and (4) psychological trauma.

RESULTS

A total of 74 relevant papers on the subject were qualitatively analyzed and the information was synthesized. Thus, a digital phenotype of MDE seems to emerge consisting of modifications in speech features (namely, temporal, prosodic, spectral, source, and formants) and in speech content, modifications in nonverbal behavior (head, hand, body and eyes movement, facial expressivity, and gaze), and a decrease in physiological measurements (HRV and EDA). We not only found similarities but also differences when MDE occurs in MDD, BD, PTSD, or psychological trauma. However, comparative studies were rare in BD or PTSD conditions, which does not allow us to identify clear and distinct digital phenotypes.

CONCLUSIONS

Our search identified markers from several modalities that hold promise for helping with a more objective diagnosis of MDE. To validate their potential, further longitudinal and prospective studies are needed.

Confirmatory evaluation of the bipolar depression rating scale (BDRS) in a large sample of female patients with bipolar depression

OBJECTIVE

The Bipolar Depression Rating Scale (BDRS) is a structured rating scale designed to assess depressive and mixed symptoms in bipolar disorder (BD). Previous studies evaluating the scale have been performed on small samples or on patients in a depressive phase, but not on patients in a mixed or manic phase. This study evaluated the Persian version of the BDRS regarding its factor structure, reliability, and validity in a large sample of Iranian women with BD in a depressive or mixed/manic phase.

METHODS

Three-hundred and one female BD inpatients completed the BDRS, the Beck Depression Inventory-II (BDI-II), the Hamilton Depression Rating Scale (HDRS), the Montgomery-Åsberg Depression Rating Scale (MADRS), and the Young Mania Rating Scale (YMRS).

RESULTS

The BDRS demonstrated a three-factor structure with good reliability. The BDRS and its psychological and somatic symptom clusters had stronger correlations with other measures of depressive symptoms than a measure of mania. The BDRS mixed symptom cluster also had a stronger correlation with a measure of mania than other measures of depression, supporting the scales' convergent and discriminant validity.

CONCLUSIONS

The BDRS demonstrated psychometric validity in assessing depressive and mixed symptoms in Iranian women with BD in a depressive or mixed/manic phase.KEY POINTSThe Bipolar Depression Rating Scale (BDRS) was validated in Iranian women with BD.The BDRS showed a three-factor structure, similar to the original validation.The BDRS had good reliability based on Omega and test-retest coefficients.The findings provided evidence for the convergent and discriminant validity of the BDRS.

Symptoms and Characteristics of Youth Hospitalized for Depression: Subthreshold Manic Symptoms Can Help Differentiate Bipolar from Unipolar Depression

Background: Most people who have major depressive disorder (MDD) or bipolar disorder (BD) will have their first episode of depression in adolescence. However, in the absence of significant [hypo]manic symptoms, there are no clear guidelines for distinguishing bipolar from unipolar depression, which can lead to misdiagnosis and ineffective/harmful treatment. We aimed to compare phenomenological differences among youth with MDD or BD hospitalized for an acute episode of depression. Methods: A retrospective electronic chart review of adolescents hospitalized in an acute care inpatient unit who had a discharge diagnosis of MDD, MDD with mixed or psychotic features (MDD+), BD-I-current episode depressed, or BD-II-current episode depressed, was performed. Results: Altogether, 598 patients (mean age = 15.1 ± 1.5 years, female = 71%, and White = 46%) met study inclusion criteria, i.e., BD-I: n = 39, BD-II: n = 84, MDD: n = 422, and MDD+: n = 53 patients. The admission Hamilton Depression Rating Scale (HAMD) total score was significantly higher in the BD-I (29.3 ± 9.1) and MDD+ (31.2 ± 9.3) groups versus the MDD group (24.3 ± 9.7) (p < 0.05). Although there were some group differences in the severity of individual depression symptoms, these did not line up neatly across BD and MDD groups. At admission, Young Mania Rating Scale (YMRS) total scores were significantly higher in the BD-I (14.4 ± 7.4), BD-II (13.8 ± 6.5), and MDD+ groups (14.3 ± 6.6) versus the MDD group (8.2 ± 4.6, p < 0.05). Additionally, 9 of 11 and 4 of 11 YMRS items scored significantly higher in the BD-II and BD-I groups versus the MDD group, respectively. The motor activity and hypersexuality items, in particular, were scored consistently higher in the BD groups than MDD groups. Limitations: All diagnoses were made based on a clinical interview and not a structured diagnostic interview, and some of the subgroup sample sizes were relatively modest, limiting the power for group comparisons. Conclusion: The presence of subsyndromal manic symptoms during an episode of MDD currently offers the clearest way by which to differentiate bipolar depression from unipolar depression.

Psychopathological Features of Bipolar Depression: Italian Validation of the Bipolar Depression Rating Scale (I-BDRS)

Background: Aim of the study was the validation of the Bipolar Disorder Rating Scale (BDRS) in an Italian population. Secondary aim was the evaluation of differences between unipolar and bipolar depression and between bipolar I and II depressed patients.

Method: 125 Bipolar Disorder and 60 Major Depressive Disorder patients were administered an Italian translation of the BDRS (I-BDRS), Hamilton Depression Rating Scale (HDRS), Montgomery-Asberg Depression Rating Scale (MADRS), Young Mania Rating Scale (YMRS) and Temperament and Character Inventory-Revised (TCI-R).

Results: I-BDRS showed considerable validity and reliability. Factor analysis found 3 subscales, two linked to depressive symptoms and one to mixed symptoms. Measures concerning depression (MADRS and HAM-D) were positively related to the I-BDRS's subscales, but mostly to the two subscales measuring depression. In mixed symptoms, the mean of the bipolar group was significantly higher than the unipolar group suggesting that the BDRS was able to distinguish between unipolar and bipolar depressed patients.

Conclusion: I-BDRS is a valid scale for the measurement of depression in BD patients, with a notable internal consistency (Cronbach's α 0.82), a significant consistency between items/total (Cronbach's α from 0.80 to 0.82) and positive correlation with other scales (MADRS r = 0.67, p < 0.001; HDRS r = 0.81, p < 0.001; YMRS r = 0.46 p < 0.0001). The mixed state sub-scale shows usefulness in differentiating bipolar from unipolar patients. I-BDRS could be a sensitive tool, both in pure depression and in mixed states, and could be used in the everyday screening and treatment of Bipolar Disorder.

Ropinirole in Bipolar Disorder: Rate of Manic Switching and Change in Disease Severity

PURPOSE

To determine the effects of ropinirole on manic switching and disease severity in bipolar disorder.

DESIGN AND METHODS

A cross-sectional survey was conducted in 23 bipolar depressed patients using ropinirole combination therapy (Young Mania Rating Scale [YMRS], Bipolar Inventory of Symptoms Scale [BISS]). Retrospective Clinical Global Impression of Change (CGI-C) and CGI-S (Severity) were captured via chart review.

FINDINGS

One patient (4.3%) experienced induction of mania (YMRS). All patients responded or partially responded to ropinirole (CGIs). YMRS and BISS mania scores were correlated.

PRACTICE IMPLICATIONS

Ropinirole has a low rate of manic switching and significantly reduces bipolar depression severity.

Feasibility of the Korean version of the Bipolar Depression Rating Scale in Adolescents with Early-Onset Bipolar Disorder

OBJECTIVE

This study explores the feasibility and psychometric properties of the Korean version of the Bipolar Depression Rating Scale (BDRS) in adolescents with Early-onset bipolar disorders.

METHODS

Fifty-three participants (aged 13-18) with early-onset bipolar disorders (40 depressed and 18 euthymic, 5 patients were assessed at depressed state and reassessed after remission) were recruited. All participants were assessed using the BDRS, the Hamilton Depression Rating Scale (HAM-D), the Montgomery-Asperg Depression Rating Scale (MADRS), the Young Mania Rating Scale (YMRS), and the Modified Overt Aggression scale (MOAS).

RESULTS

BDRS exhibited good internal validity and significant correlations with the HAM-D and the MADRS. In item to scale correlations, all items on the BDRS were significantly correlated with the BDRS total scores except for 'increased motor drive' and 'increased speech', 'depressed mood' and 'worthlessness' showed the highest mean scores and endorsement rates. BDRS score of the depressed group was significantly higher compared with the euthymic group. Three factors (i.e., psychosomatic, mood, and mixed) were identified in the principal component analysis and hierarchical cluster analysis of the BDRS.

CONCLUSION

In this study, we report that the Korean version of BDRS is a feasible and reliable tool for the assessment of depression in adolescents with Early-onset bipolar disorders.

Guidelines for the recognition and management of mixed depression

A significant minority of people presenting with a major depressive episode (MDE) experience co-occurring subsyndromal hypo/manic symptoms. As this presentation may have important prognostic and treatment implications, the DSM-5 codified a new nosological entity, the "mixed features specifier," referring to individuals meeting threshold criteria for an MDE and subthreshold symptoms of (hypo)mania or to individuals with syndromal mania and subthreshold depressive symptoms. The mixed features specifier adds to a growing list of monikers that have been put forward to describe phenotypes characterized by the admixture of depressive and hypomanic symptoms (e.g., mixed depression, depression with mixed features, or depressive mixed states [DMX]). Current treatment guidelines, regulatory approvals, as well the current evidentiary base provide insufficient decision support to practitioners who provide care to individuals presenting with an MDE with mixed features. In addition, all existing psychotropic agents evaluated in mixed patients have largely been confined to patient populations meeting the DSM-IV definition of "mixed states" wherein the co-occurrence of threshold-level mania and threshold-level MDE was required. Toward the aim of assisting clinicians providing care to adults with MDE and mixed features, we have assembled a panel of experts on mood disorders to develop these guidelines on the recognition and treatment of mixed depression, based on the few studies that have focused specifically on DMX as well as decades of cumulated clinical experience.

Clinical assessment of bipolar depression: validity, factor structure and psychometric properties of the Korean version of the Bipolar Depression Rating Scale (BDRS)

BACKGROUND

The Bipolar Depression Rating Scale (BDRS) is a scale for assessment of the clinical characteristics of bipolar depression. The primary aims of this study were to describe the development of the Korean version of the BDRS (K-BDRS) and to establish more firmly its psychometric properties in terms of reliability and validity.

METHODS

The study included 141 patients (62 male and 79 female) who had been diagnosed with bipolar disorder, were currently experiencing symptoms of depression, and were interviewed using the K-BDRS. Other measures included the Montgomery and Asberg Depression Scale (MADRS), the 17-item Hamilton Depression Scale (HAMD), and the Young Mania Rating Scale (YMRS). Additionally, the internal consistency, concurrent validity, inter-rater reliability, and test-retest reliability of the K-BDRS were evaluated.

RESULTS

The Cronbach's α-coefficient for the K-BDRS was 0.866, the K-BDRS exhibited strong correlations with the HAMD (r = 0.788) and MADRS (r = 0.877), and the mixed symptoms score of the K-BDRS was significantly correlated with the YMRS (r = 0.611). An exploratory factor analysis revealed three factors that corresponded to psychological depressive symptoms, somatic depressive symptoms, and mixed symptoms.

CONCLUSIONS

The present findings suggest that the K-BDRS has good psychometric properties and is a valid and reliable tool for assessing depressive symptoms in patients with bipolar disorder.

The impact of mood symptomatology on pattern of substance use among homeless

BACKGROUND

Homeless individuals are an extremely vulnerable and underserved population characterized by overlapping problems of mental illness and substance use. Given the fact that mood disorders are frequently associated with substance use disorders, we wanted to further highlight the role of excitement in substance abuse. Patterns of substance abuse among homeless suffering from unipolar and bipolar depression were compared. The "self-medication hypothesis" which would predict no-differences in substance preference by unipolar (UP) and bipolar (BP) depressed homeless was tested.

METHODS

Homeless individuals from the Vancouver At Home/Chez Soi study were selected for lifetime UP and lifetime BP depression and patterns of substances abused in the previous 12 months were identified with the Mini-International Neuropsychiatric Interview. Differences in substance use between BP-depressed homeless and UP-depressed homeless were tested using Chi-square and logistic regression techniques.

RESULTS

No significant differences were observed between UP and BP homeless demographics. The bipolar depressed homeless (BDH) group displayed a higher percentage of Central Nervous System (CNS) Stimulants (χ 8.66, p=0.004) and Opiates (χ 6.41, p=0.013) as compared to the unipolar depressed homeless (UDH) group. CSN Stimulant was the only predictor within the BDH Group (χ(2) 8.74 df 1 p<0.003).

LIMITATIONS

Data collected are self-reported and no urinalyses were performed.

CONCLUSIONS

The results support the hypothesis that beyond the self-medication hypothesis, bipolarity is strictly correlated to substance use; this correlation is also verified in a homeless population.