Clinical features of differential diagnosis between unipolar and bipolar depression in a drug-free sample of young adults

Clinical distinctions in symptomatology and psychiatric comorbidities between misdiagnosed bipolar I and bipolar II disorder versus major depressive disorder

BACKGROUND

To explore the demographic and clinical features of current depressive episode that discriminate patients diagnosed with major depressive disorder (MDD) from those with bipolar I (BP-I) and bipolar II (BP-II) disorder who were misdiagnosed as having MDD .

METHODS

The Mini-International Neuropsychiatric Interview (MINI) assessment was performed to establish DSM-IV diagnoses of MDD, and BP-I and BP-II, previously being misdiagnosed as MDD. Demographics, depressive symptoms and psychiatric comorbidities were compared between 1463 patients with BP-I, BP-II and MDD from 8 psychiatric settings in mainland China. A multinomial logistic regression model was performed to assess clinical correlates of diagnoses.

RESULTS

A total of 14.5% of the enrolled patients initially diagnosed with MDD were eventually diagnosed with BP. Broad illness characteristics including younger age, higher prevalence of recurrence, concurrent dysthymia, suicidal attempts, agitation, psychotic features and psychiatric comorbidities, as well as lower prevalence of insomnia, weight loss and somatic symptoms were featured by patients with BP-I and/or BP-I, compared to those with MDD. Comparisons between BP-I and BP-II versus MDD indicated distinct symptom profiles and comorbidity patterns with more differences being observed between BP-II and MDD, than between BP-I and MDD .

CONCLUSION

The results provide evidence of clinically distinguishing characteristics between misdiagnosed BP-I and BP- II versus MDD. The findings have implications for guiding more accurate diagnoses of bipolar disorders.

Comparing Symptoms of Major Depression in Youth with Confirmed Versus Suspected Bipolar Disorder

Background: While numerous studies have compared symptoms of major depressive episodes (MDEs) associated with bipolar disorder (BD; i.e., bipolar depression) versus major depressive disorder (MDD; i.e., unipolar depression), little is known about this topic in youth. We compared MDE symptoms in youth with BD with youth with suspected BD who have similar clinical and familial characteristics aside from having BD. Methods: MDE symptoms based on Kiddie Schedule for Affective Disorders and Schizophrenia for School Age Children (K-SADS) Depression Rating Scale items for the most severe past episode were compared in youth, ages 13-21 years, with BD (n = 208) versus suspected BD (n = 165). Diagnoses were confirmed via semistructured interviews. Symptoms with between-group differences (p < 0.05) in univariate analyses were evaluated in a multivariate forward stepwise regression. All analyses controlled for age and sex. Results: Youth with BD had significantly higher (more severe) ratings on depressed mood (p = 0.001, η2 = 0.05), irritability (p = 0.037, η2 = 0.02), anhedonia (p = 0.004, η2 = 0.04), negative self-image (p < 0.001, η2 = 0.07), hopelessness (p = 0.04, η2 = 0.02), fatigue (p = 0.001, η2 = 0.05), hypersomnia (p = 0.001, η2 = 0.05), suicidal ideation (p = 0.04, η2 = 0.02), and recurrent thoughts of death (p < 0.001, η2 = 0.05). In regression analyses, the only symptom that remained significant in the BD group was depressed mood (p = 0.002). Conclusions: These findings demonstrate greater severity of depressive symptoms in youth with BD versus MDD across mood, and cognitive and neurovegetative symptom domains. These differences are especially noteworthy given that the MDD group was highly similar to the BD group, aside from BD diagnosis. Present findings emphasize the need for novel treatment approaches to bipolar depression in youth, and for studies examining potential mechanisms underlying the increased severity of bipolar depression.

Evaluation of a novel instrument for detecting bipolar disorders in China: The Rapid Mood Screener (RMS)

OBJECTIVE

Bipolar disorder is easily misdiagnosed with major depressive disorder (MDD). The Rapid Mood Screener (RMS) was developed to address this unmet clinical need. This study aims to translate and evaluated the reliability and validity of the RMS in Chinese adults with bipolar I/II disorder (BD-I/II).

METHODS

Brislin's translation and Delphi method were conducted to formulate the RMS-Chinses version (RMS-C). Patients with MDD (N = 99), BD-I (N = 77) and BD-II (N = 78) were included to assess the validity and reliability of RMS-C. The area under the curve (AUC) was computed to ascertain the ability of the Mood Disorder Questionnaire (MDQ) and RMS-C to distinguish BD-I and BD-II from MDD. The optimal cut-off scores for classification were also calculated by the maximum sensitivity and specificity.

RESULTS

The intraclass correlation coefficient of the RMS-C was 0.82 (95%CI, 0.71-0.89). The content validity index by six items were 0.71, 0.86, 1.00, 0.86, 1.00, and 1.00 in turn, and by scales was 0.90. The AUCs of the RMS-C in both BD-I/II, BD-I alone and BD-II alone were 0.83 (95 % CI, 0.78-0.89), 0.82 (95 % CI, 0.75-0.89) and 0.85 (95 % CI, 0.79-0.91), respectively, and were comparably to the MDQ. The optimal RMS-C values of the presence of BD-I and BD-II were >4 and 3, respectively.

CONCLUSION

The RMS-C is a valid, simple self-administer screening tool to help identify BD-I or BD-II in persons experiencing a depressive episode. Validating the impact of screening with the RMS-C on health outcomes and health economics is warranted.

Nonlinear relationship between sleep midpoint and depression symptoms: a cross-sectional study of US adults

BACKGROUND

Despite the close relationship between sleep-wake cycles and depression symptoms, the relationship between sleep midpoint and depression symptoms in adults remains understudied.

METHODS

In this cross-sectional study, 18280 adults aged ≥ 18 years from the National Health and Nutrition Examination Survey (NHANES) 2015-2020 were analyzed. Covariates included age, sex, race/ethnicity, education level, marital status, family income, body mass index, smoking status, drinking status, physical activity, comorbid condition, sleep duration, and sleep disturbance were adjusted in multivariate regression models.

RESULTS

Weighted restricted cubic spline based on the complex sampling design of NHANES showed that in participants with a sleep midpoint from 2:18 AM to 6:30 AM, the prevalence of depression symptoms increased by 0.2 times (adjusted odds ratio [OR] = 1.20, 95% confidence interval [CI]: 1.08-1.33) per 1-h increment in sleep midpoint compared to the reference point of 2:18 AM. For participants with a sleep midpoint after 6:30 AM and before 2:18 AM the next day, the relationship between sleep midpoint and depression symptoms was not significant after adjusting for all covariates (adjusted OR = 1.01, 95% CI: 0.99-1.03).

CONCLUSIONS

The findings indicate a significant nonlinear association between sleep midpoint and depression symptoms in a nationally representative sample of adults.

A comparison of the 33-item Hypomania Checklist with the 33-item Hypomania Checklist-external assessment for the detection of bipolar disorder in adolescents

BACKGROUND

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 HCL-33 and HCL-33-EA were completed by patients and their carers, respectively. The sensitivity, positive predictive value (PPV), specificity, negative predictive value (NPV), and area under the curve (AUC) were calculated and compared between the two instruments, using cut-off values based on the Youden's index.

RESULTS

The total scores of the HCL-33 and HCL-33-EA were positively and significantly correlated (rs = 0.309, P < 0.001). Compared to the HCL-33, the HCL-33-EA had higher sensitivity and NPV (HCL-33: sensitivity = 0.58, NPV = 0.53; HCL-33-EA: sensitivity = 0.81, NPV = 0.60), while the HCL-33 had higher specificity and PPV (HCL-33: specificity = 0.61, PPV = 0.66; HCL-33-EA: specificity = 0.37, PPV = 0.63).

CONCLUSION

Both the HCL-33 and HCL-33-EA seem to be useful for screening depressed adolescents for BD. The HCL-33-EA would be more appropriate for distinguishing BD from MDD in adolescents due to its high sensitivity in Chinese clinical settings.

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.

Navigating the diagnostic challenges of bipolar disorder in youth

ABSTRACT

Bipolar disorder in youth is difficult to diagnose and treat, but early detection is important to mitigate risks and improve patient outcomes. This article evaluates the unique challenges of diagnosing and treating bipolar disorder in children and adolescents. Bipolar disorder is associated with a significant personal and societal health burden and frequently is misdiagnosed and incorrectly treated. More research is needed to understand the pathophysiology of bipolar disorder and which treatment options are best throughout the lifespan.

Bipolar disorder: Treatment strategies for women of childbearing age

PURPOSE

Bipolar disorder is associated with increased rates of morbidity and mortality, magnified in women of childbearing age. The purpose of this paper is to provide an overview of the differential diagnosis and management of bipolar disorder in women of childbearing age.

CONCLUSIONS

Differential diagnoses for bipolar disorder include depressive disorders, anxiety disorders, trauma-related disorders, attention-deficit/hyperactivity disorder, and personality disorders. Pharmacotherapeutic options for the treatment of bipolar disorder include lithium, anti-epileptic medications, and atypical antipsychotics. In regard to women of childbearing age, consideration of risks, benefits, and alternative therapies is needed before initiating therapy.

PRACTICE IMPLICATIONS

Caring for patients with bipolar disorder, particularly women of childbearing age, requires careful differentiation of bipolar disorder from other mental health problems, and prudent consideration of pharmacotherapeutic options.

Treatment-resistant depression: An overview for psychiatric advanced practice nurses

PURPOSE

Treatment-resistant depression (TRD) can require complex management. The purpose of this paper is to provide an update on the hypothesized neurobiology of depression, and to describe treatment options for patients impacted by TRD.

CONCLUSIONS

Recent neurobiological findings support the use of augmenting pharmacological agents, neuromodulation techniques, and esketamine as effective in achieving remission for those with TRD.

PRACTICE IMPLICATIONS

First-line interventions for depression can be safely managed by primary care providers. Psychiatric advanced practice nurses must be well versed and capable of treating more complicated cases, including TRD, that may require second- or third-line approaches.

Presence and Overlap of Bipolar Symptoms and Borderline Features during Major Depressive Episodes

BACKGROUND

Bipolar symptoms and borderline personality features occur in both unipolar and bipolar major depressive episodes (MDEs). We investigated their prevalence, severity, co-occurrence and overlap.

METHODS

We interviewed 124 psychiatric outpatients with MDE using the Structured Clinical Interview for DSM-IV-TR Axis I and II Disorders, the Borderline Personality Disorder Severity Index (BPDSI-IV), and about past (hypo)manic episodes, and stratified them according to the principal diagnosis into subcohorts of major depressive disorder (MDD, n = 50), bipolar disorder (BD, n = 43), and borderline personality disorder (BPD, n = 31). We quantified (hypo)manic symptoms using a novel semi-structured interview (MIXed symptoms during MDE, MIX-MDE) with good psychometric qualities.

RESULTS

The subcohorts did not differ in MDE severity. They differed significantly in some (hypo)manic symptoms being present on most days in 24% of MDD, 30% of BD, and 42% of BPD subcohort, but only 5% of the BD subcohort fulfilled the DSM-5 mixed features. The mean MIX-MDE scores were 5.7 (SD 4.0), 12.0 (8.2) and 10.5 (7.5), and BPDSI-IV scores 15.6 (7.0), 17.2 (6.2) and 26.9 (8.7), respectively (both p < 0.001). (Hypo)manic days and unspecific symptoms of distractibility and irritability inflated the correlation of observed (hypo)manic symptoms and borderline features.

LIMITATIONS

Moderate sample size, limited age variation (18-50 years); no previous validation of MIX-MDE.

CONCLUSIONS

Presence of some mixed and borderline features is common in MDEs, with overlap and diagnosis-specific differences. Unspecific symptoms of irritability and distractibility and the aggravating impact of hypomania on perceived BPD features blur the differential diagnosis.

Psychometric Properties of the Chinese Version of the Bipolar Depression Rating Scale for Bipolar Disorder

INTRODUCTION

Unlike unipolar depression, depressive episode of bipolar disorder is often associated with clinical characteristics, such as atypical and mixed symptoms. However, there are currently no valid and reliable specific tools available to assess the specific psychiatric symptomatology of depressive episode of bipolar disorder in China. Therefore, we aimed to evaluate the psychometric properties of the Chinese version of the Bipolar Depression Rating Scale (BDRS) in Chinese patients with bipolar disorder.

METHODS

The sample of this study included 111 patients with bipolar disorder (30 male, 81 female). All participants were interviewed with the Chinese version of the BDRS (BDRS-C), the 17-item Hamilton Depression Rating Scale (HAMD-17), the Montgomery-Asberg Depression Rating Scale (MADRS) and the Young Mania Rating Scale (YMRS). A psychometric analysis of the BDRS was conducted.

RESULTS

The Cronbach's alpha coefficient of the BDRS-C reached a value of 0.869. The BDRS-C score and scores for the HAMD-17 (r = 0.819, p < 0.01), the MADRS (r = 0.882, p < 0.01) and the YMRS (r = 0.355, p < 0.01) exhibited significant positive correlations. Close correlations were observed between the mixed subscale score of the BDRS-C and the YMRS score (r = 0.784, p < 0.01). Exploratory factor analysis resulted in three factors: a primary depressive symptoms cluster, a secondary depressive symptoms cluster, and a mixed symptoms cluster.

CONCLUSION

The Chinese version of the BDRS has satisfactory psychometric properties. This is a valid and reliable instrument to assess depressive symptomatology in patients with bipolar disorder.

Mismatch negativity indices and functional outcomes in unipolar and bipolar depression

The aim of the study was to explore the association between functional outcomes and mismatch negativity (MMN) activity in participants with mood disorders. The study participants were 27 subjects with major depressive disorder (MDD), 29 subjects with bipolar disorder (BD), and 33 healthy controls who performed a passive auditory oddball paradigm while electroencephalography (EEG) was recorded. Peak amplitudes and source activity of the MMN were compared across groups. Mood and anxiety symptoms were evaluated. The functional levels were the lowest in the BD group, followed by the MDD and healthy control groups. The subjects with BD had significantly lower MMN amplitudes at the frontal and frontocentral electrodes than the healthy controls. The source activity of the MMN from the left anterior cingulate cortex, inferior frontal gyrus, and middle frontal gyrus was significantly increased in the BD group compared to the MDD group. Significant correlations were detected between the functional outcomes and MMN amplitudes at frontal and frontocentral sites. The functional outcome was significantly correlated with left frontal regions. In conclusion, MMN activity appears to be a promising candidate as an evaluation tool for functional outcomes in mood disorders.

Differentiating unipolar and bipolar depression: Contribution of the Rorschach test (Comprehensive System)

OBJECTIVE

The aim of this study was to contribute to differential diagnoses of unipolar and bipolar depression using cognitive variables of the Rorschach test (Comprehensive System).

METHOD

One hundred forty one depressed inpatients (71 bipolar, 70 unipolar; mean age = 46, SD = 15.8; 64% women) previously evaluated and comparable regarding clinical characteristics of their illness (including current mood symptoms) were blindly tested using the Rorschach test (C.S.).

RESULTS

The cognitive profile of bipolar depressed patients was more impaired than the cognitive profile of unipolar depressed patients. Combining four cognitive specificities (tolerance to ambiguity, discrimination failure, difficulties in controlling ideational impulses, and impulsive or negligent processing) in a logistic regression model allows the identification of bipolarity with acceptable accuracy.

CONCLUSIONS

Some aspects of cognitive functioning, as assessed with the Rorschach test (CS), appear to be useful to capture some important cognitive specificities of bipolar depression and could contribute to differential diagnoses of mood disorders.