scholarly journals Validity and reliability of the Structured Clinical Interview for Mood Spectrum: Brazilian version (SCIMOODS-VB)

2011 ◽  
Vol 33 (1) ◽  
pp. 64-67 ◽  
Author(s):  
Roberto Ratzke ◽  
Doris Hupfeld Moreno ◽  
Clarice Gorenstein ◽  
Ricardo Alberto Moreno
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Intraclass Correlation ◽  
Unipolar Depression ◽  
Brazilian Portuguese ◽  
Clinical Interview ◽  
Stepwise Discriminant Analysis ◽  
Cutoff Score ◽  
Major Depressive

OBJECTIVE: The aim of this study was to translate the Structured Clinical Interview for Mood Spectrum into Brazilian Portuguese, measuring its reliability, validity, and defining scores for bipolar disorders. METHOD: Questionnaire was translated (into Brazilian Portuguese) and back-translated into English. Sample consisted of 47 subjects with bipolar disorder, 47 with major depressive disorder, 18 with schizophrenia and 22 controls. Inter-rater reliability was tested in 20 subjects with bipolar disorder and MDD. Internal consistency was measured using the Kuder Richardson formula. Forward stepwise discriminant analysis was performed. Scores were compared between groups; manic (M), depressive (D) and total (T) threshold scores were calculated through receiver operating characteristic (ROC) curves. RESULTS: Kuder Richardson coefficients were between 0.86 and 0.94. Intraclass correlation coefficient was 0.96 (CI 95 % 0.93-0.97). Subjects with bipolar disorder had higher M and T, and similar D scores, when compared to major depressive disorder (ANOVA, p < 0.001). The sub-domains that best discriminated unipolar and bipolar subjects were manic energy and manic mood. M had the best area under the curve (0.909), and values of M equal to or greater than 30 yielded 91.5% sensitivity and 74.5% specificity. CONCLUSION: Structured Clinical Interview for Mood Spectrum has good reliability and validity. Cut-off of 30 best differentiates subjects with bipolar disorder vs. unipolar depression. A cutoff score of 30 or higher in the mania sub-domain is appropriate to help make a distinction between subjects with bipolar disorder and those with unipolar depression.

scholarly journals Individuals with bipolar disorder have a higher level of peripheral uric acid than major depressive disorder: a case-control study

2021 ◽  
Author(s):  
Zhe Lu ◽  
Yingtan Wang ◽  
Guanglei Xun
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Case Control Study ◽  
Bipolar Depression ◽  
Unipolar Depression ◽  
Acute Stage ◽  
Major Depressive ◽  
Drug Free ◽  
Control Study

Abstract Background: At present, no well-established biomarkers were ever found to distinguish unipolar depression (UD) and bipolar disorder (BD). This study aimed to provide a clearer comparison of UA levels between BD and major depressive disorder. Methods: Peripheral UA of 119 patients with BD in acute stage (AS) and 77 in remission stage (RS), and 95 patients with UD in AS and 61 in RS were measured, so were 180 healthy controls. Results: UA levels in BD group were higher than UD and HC groups regardless of the AS or RS, while differences in UA levels between UD group and HC group were not significant. Differences in UA levels of BD-M (bipolar mania/hypomania) were higher than BD-D (bipolar depression) subgroups, and UA levels of BD-M and BD-D subgroups were higher than UD and HC groups. The comparison of number of participants with hyperuricemia among groups confirmed the above results. There were no significant differences in UA levels of between drug-use and drug-free/naïve subgroups. Conclusion: The study suggests patients with BD had a higher level of UA than UD, especially in mania episode.

scholarly journals Association between antidepressant resistance in unipolar depression and subsequent bipolar disorder: cohort study

2012 ◽  
Vol 200 (1) ◽  
pp. 45-51 ◽  
Author(s):  
Cheng-Ta Li ◽  
Ya-Mei Bai ◽  
Yu-Lin Huang ◽  
Ying-Sheue Chen ◽  
Tzeng-Ji Chen ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Large Scale ◽  
Antidepressant Treatment ◽  
Poor Response ◽  
Unipolar Depression ◽  
Major Depressive ◽  
Antidepressant Use ◽  
Nationally Representative

BackgroundPeople with major depressive disorder who fail to respond to adequate trials of antidepressant treatment may harbour hidden bipolar disorder.AimsWe aimed to compare the rates of a change in diagnosis to bipolar disorder among people with major depressive disorder with stratified responses to antidepressants during an 8-year follow-up period.MethodInformation on individuals with major depressive disorder identified during 2000 (cohort 2000, n = 1485) and 2003 (cohort 2003, n = 2459) were collected from a nationally representative cohort of 1 000 000 health service users in Taiwan. Participants responding well to antidepressants were compared with those showing poor responses to adequate trials of antidepressants.ResultsIn 7.6–12.1% of those with a diagnosis of unipolar major depressive disorder this diagnosis was subsequently changed to bipolar disorder, with a mean time to change of 1.89–2.98 years. Difficult-to-treat participants presented higher rates of change to a bipolar diagnosis (25.6% in cohort 2000; 26.6% in cohort 2003) than easy-to-treat participants (8.8–8.9% in cohort 2000; 6.8–8.6% in cohort 2003; P<0.0001). Regression analysis showed that the variable most strongly associated with the change in diagnosis was antidepressant use history. The difficult-to-treat participants were associated most with diagnostic changing (cohort 2000: odds ratio (OR) = 1.88 (95% CI 1.12–3.16); cohort 2003: OR = 4.94 (95% CI 2.81–8.68)).ConclusionsThis is the first large-scale study to report an association between antidepressant response history and subsequent change in diagnosis from major depressive disorder to bipolar disorder. Our findings support the view that a history of poor response to antidepressants in unipolar depression could be a useful predictor for bipolar diathesis.

scholarly journals Unrecognised bipolar disorder in primary care patients with depression

2011 ◽  
Vol 199 (1) ◽  
pp. 49-56 ◽  
Author(s):  
Daniel J. Smith ◽  
Emily Griffiths ◽  
Mark Kelly ◽  
Kerry Hood ◽  
Nick Craddock ◽  
...  
Keyword(s):  
Primary Care ◽  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Psychosocial Functioning ◽  
Unipolar Depression ◽  
Major Depressive ◽  
Manic Symptoms ◽  
History Of ◽  
Primary Care Patients

BackgroundBipolar disorder is complex and can be difficult to diagnose. It is often misdiagnosed as recurrent major depressive disorder.AimsWe had three main aims. To estimate the proportion of primary care patients with a working diagnosis of unipolar depression who satisfy DSM–IV criteria for bipolar disorder. To test two screening instruments for bipolar disorder (the Hypomania Checklist (HCL–32) and Bipolar Spectrum Diagnostic Scale (BSDS)) within a primary care sample. To assess whether individuals with major depressive disorder with subthreshold manic symptoms differ from those individuals with major depressive disorder but with no or little history of manic symptoms in terms of clinical course, psychosocial functioning and quality of life.MethodTwo-phase screening study in primary care.ResultsThree estimates of the prevalence of undiagnosed bipolar disorder were obtained: 21.6%, 9.6% and 3.3%. The HCL–32 and BSDS questionnaires had quite low positive predictive values (50.0 and 30.1% respectively). Participants with major depressive disorder and with a history of subthreshold manic symptoms differed from those participants with no or little history of manic symptoms on several clinical features and on measures of both psychosocial functioning and quality of life.ConclusionsBetween 3.3 and 21.6% of primary care patients with unipolar depression may have an undiagnosed bipolar disorder. The HCL–32 and BSDS screening questionnaires may be more useful for detecting broader definitions of bipolar disorder than DSM–IV-defined bipolar disorder. Subdiagnostic features of bipolar disorder are relatively common in primary care patients with unipolar depression and are associated with a more morbid course of illness. Future classifications of recurrent depression should include dimensional measures of bipolar symptoms.

scholarly journals Individuals with bipolar disorder have a higher level of uric acid than major depressive disorder: a case–control study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Zhe Lu ◽  
Yingtan Wang ◽  
Guanglei Xun
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Bipolar Depression ◽  
Unipolar Depression ◽  
Acute Stage ◽  
Major Depressive ◽  
Potential Biomarker ◽  
Drug Free ◽  
Control Study

AbstractAt present, no well-established biomarkers were ever found to distinguish unipolar depression and bipolar disorder (BD). This study aimed to provide a clearer comparison of UA levels between BD and major depressive disorder. Peripheral UA of 119 patients with BD in acute stage (AS) and 77 in remission stage (RS), and 95 patients with UD in AS and 61 in RS were measured, so were 180 healthy controls. UA levels in BD group were higher than UD and HC groups regardless of the AS or RS, while differences in UA levels between UD group and HC group were not significant. Differences in UA levels of BD-M (bipolar mania/hypomania) were higher than BD-D (bipolar depression) subgroups, and UA levels of BD-M and BD-D subgroups were higher than UD and HC groups. The comparison of number of participants with hyperuricemia among groups confirmed the above results. There were no significant differences in UA levels of between drug-use and drug-free/naïve subgroups. UA could distinguish BD and UD significantly both in acute and remission stage. The study suggests patients with BD had a higher level of UA than UD, especially in mania episode. UA may be a potential biomarker to distinguish BD from UD.

scholarly journals A Comparative Study of Depressive Episode in Major Depressive Disorder and Bipolar Disorder

2016 ◽  
pp. 1-7
Author(s):  
Arijit Mondal ◽  
Sumit Mukherjee ◽  
Sayanti Ghosh ◽  
Divya Gopal Mukherjee
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Family History ◽  
Depressive Disorder ◽  
Depressive Episode ◽  
Bipolar Depression ◽  
Unipolar Depression ◽  
Major Depressive ◽  
Demographic Profile ◽  
Suicidal Ideas

Distinguishing between major depressive disorder (MDD) and bipolar disorder is important because there are differences in the optimal management of these conditions. Antidepressant treatment of bipolar depression (BPD) can adversely affect long-term prognosis by causingdestabilisation of mood and more frequent depressive episodes, and can lead to the development of treatment resistance. Most people with bipolar disorder experience depression rather than mania as their first episode of illness. It is clinically desirable to recognise, or at least to suspect,bipolar depression at an early stage of a bipolar illness.  OBJECTIVE : Comparison of depressive episode in major depressive disorder and bipolar affective disorder in a tertiary care general hospital, psychiatry unit.  METHOD : 80 cases of unipolar depression and 54 cases of bipolar depression were compared on the basis of socio-demographic profile, family history of mood disorder and clinical features using Semi structured questionnaire for socio-demographic profile and validated Bengaliversion of Beck Depression Inventory (BDI).  RESULTS : Bipolar depression is characterized by early age of onset, more number of previous episodes, positive family history, more severe in nature associated with prominent features of guilt feeling, self dislike, self accusation, suicidal ideas, irritability, social withdrawal, fatigability and loss of libido. Major depressive disorder shows female preponderance, more number of stressful life events before episodes. Body image change, insomnia, anorexia, weight loss, somatic pre-occupation are more in unipolar depression.

scholarly journals The overlap of genetic susceptibility to schizophrenia and cardiometabolic disease can be used to identify metabolically different groups of individuals

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Rona J. Strawbridge ◽  
Keira J. A. Johnston ◽  
Mark E. S. Bailey ◽  
Damiano Baldassarre ◽  
Breda Cullen ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
European Ancestry ◽  
Cardiometabolic Disease ◽  
Metabolic Profiles ◽  
Genome Wide Association Studies ◽  
Uk Biobank ◽  
Major Depressive ◽  
Increased Risk

AbstractUnderstanding why individuals with severe mental illness (Schizophrenia, Bipolar Disorder and Major Depressive Disorder) have increased risk of cardiometabolic disease (including obesity, type 2 diabetes and cardiovascular disease), and identifying those at highest risk of cardiometabolic disease are important priority areas for researchers. For individuals with European ancestry we explored whether genetic variation could identify sub-groups with different metabolic profiles. Loci associated with schizophrenia, bipolar disorder and major depressive disorder from previous genome-wide association studies and loci that were also implicated in cardiometabolic processes and diseases were selected. In the IMPROVE study (a high cardiovascular risk sample) and UK Biobank (general population sample) multidimensional scaling was applied to genetic variants implicated in both psychiatric and cardiometabolic disorders. Visual inspection of the resulting plots used to identify distinct clusters. Differences between these clusters were assessed using chi-squared and Kruskall-Wallis tests. In IMPROVE, genetic loci associated with both schizophrenia and cardiometabolic disease (but not bipolar disorder or major depressive disorder) identified three groups of individuals with distinct metabolic profiles. This grouping was replicated within UK Biobank, with somewhat less distinction between metabolic profiles. This work focused on individuals of European ancestry and is unlikely to apply to more genetically diverse populations. Overall, this study provides proof of concept that common biology underlying mental and physical illness may help to stratify subsets of individuals with different cardiometabolic profiles.

Predictors of conversion of major depressive disorder to bipolar disorder

2021 ◽  
pp. 113939
Author(s):  
Satish Suhas ◽  
Abha Thakurdesai ◽  
Amal Jolly Joseph ◽  
Chittaranjan Andrade
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Major Depressive
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