scholarly journals Clinical features and correlates of major depressive disorder in individuals with body dysmorphic disorder

2007 ◽  
Vol 97 (1-3) ◽  
pp. 129-135 ◽  
Author(s):  
Katharine A. Phillips ◽  
Elizabeth R. Didie ◽  
William Menard
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Clinical Features ◽  
Body Dysmorphic Disorder ◽  
Major Depressive

Clinical features of the patients with major depressive disorder co-occurring insomnia and hypersomnia symptoms: a report of NSSD study

2021 ◽  
Vol 81 ◽  
pp. 375-381
Author(s):  
Jie Zhao ◽  
Hongmei Liu ◽  
Zhiguo Wu ◽  
Yun Wang ◽  
Tongdan Cao ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Clinical Features ◽  
Major Depressive

Clinical features and diagnosis

2012 ◽  
Author(s):  
Raymond W. Lam
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Differential Diagnosis ◽  
Depressive Disorder ◽  
Clinical Features ◽  
Cognitive Symptoms ◽  
Major Depressive ◽  
Low Mood ◽  
Different Types ◽  
Variable Presentation

• Depression is associated with a number of physical, emotional, and cognitive symptoms.• Sub-typing of major depressive disorder has implications for treatment choice and selection.• The differential diagnosis of depression includes bereavement, bipolar disorder, and other medical or substance-induced conditions.Depression is associated with many different types of symptoms which can result to a variable presentation in any given person. The features of depression can be physical (sleep, energy, appetite, libido), emotional (low mood, anxiety, crying) or cognitive (guilt, pessimism, suicidal thoughts). ...

Characterising anxiety in major depressive disorder and its use in predicting antidepressant treatment outcome: An iSPOT-D report

2019 ◽  
Vol 53 (8) ◽  
pp. 782-793 ◽  
Author(s):  
Taylor A Braund ◽  
Donna M Palmer ◽  
Leanne M Williams ◽  
Anthony WF Harris
Keyword(s):  
Major Depressive Disorder ◽  
Treatment Outcome ◽  
Depressive Disorder ◽  
Anxiety Disorders ◽  
Clinical Features ◽  
Antidepressant Treatment ◽  
Anxiety Symptoms ◽  
Poor Agreement ◽  
Major Depressive ◽  
Anxious Depression

Objective: Major depressive disorder commonly co-occurs with one or more anxiety disorders or with clinically significant levels of anxiety symptoms. Although evidence suggests that anxious forms of depression are prognostic of poorer antidepressant outcomes, there is no clear definition of anxious depression, and inferences about clinical outcomes are thus limited. Our objective was to compare and evaluate definitions of anxious depression and anxiety-related scales according to clinical and antidepressant outcome criteria. Method: A total of 1008 adults with a current diagnosis of single-episode or recurrent, nonpsychotic, major depressive disorder were assessed at baseline on clinical features. Participants were then randomised to one of three antidepressants and reassessed at 8 weeks regarding remission and response of the 17-item Hamilton Rating Scale Depression (HRSD17) and the 16-item Quick Inventory of Depressive Symptomatology (QIDS-SR16). Anxious depression was defined as major depressive disorder with one or more anxiety disorders or major depressive disorder with a HRSD17 anxiety/somatisation factor score ⩾7. Anxiety-related scales included the HRSD17 anxiety/somatisation factor and the 42-item Depression Anxiety Stress Scales (DASS42) anxiety and stress subscales. Results: Anxious depression definitions showed poor agreement (κ = 0.15) and the HRSD17 anxiety/somatisation factor was weakly correlated with both DASS42 anxiety ( r = 0.24) and stress subscales ( r = 0.20). Anxious depression definitions were also associated with few impairments on clinical features and did not predict poorer antidepressant treatment outcome. However, higher DASS42 anxiety predicted poorer HRSD17 and QIDS-SR16 remission, and item-level analysis found higher scores on items 9 (situational anxiety) and 23 (somatic anxiety) of the DASS42 predicted poorer treatment outcome, even after adjusting for covariates and multiple comparisons. Conclusion: Common definitions of anxious depression show poor agreement and do not predict poorer treatment outcome. Anxiety symptoms may be better characterised dimensionally using DASS42 when predicting treatment outcome.

Major depressive disorder history among patients who sought blepharoplasty operation in a private ophthalmology hospital in Saudi Arabia

2017 ◽  
Vol 41 (S1) ◽  
pp. S535-S535
Author(s):  
D. Nagui Rizk ◽  
M. Abo Ghanima
Keyword(s):  
Saudi Arabia ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Body Dysmorphic Disorder ◽  
Past History ◽  
Self Assessment ◽  
Major Depressive ◽  
History Of ◽  
Competing Interest ◽  
Number Of Individuals

BackgroundMuch attention has focused on body dysmorphic disorder among patients undergoing plastic surgeries, but there has been little evaluation of their past history of major depressive disorder (MDD).AimTo estimate the prevalence rate of past history of Major Depressive Disorder (MDD) in patients undergoing Blepharoplasty operation in a private ophthalmology hospital in Jeddah, Saudi Arabia.MethodsAll patients who have undergone blepharoplasty operation during the period from 5 April to 4 October 2016 (6 months) were included. Previous psychiatric history was taken from the patients by psychiatric assessment and self-assessment questionnaire, diagnosis of Major Depressive Disorder (MDD) confirmed previously by consultant psychiatrists in patients’ health records was included.ResultsOne hundred and forty-eight persons undergone blepharoplasty in the hospital from 5 April to 4 October 2016. They were 89 females (60%) and 59 males (40%). Among those 148 persons, 10 patients were previously diagnosed with major depressive disorder by consultant psychiatrists with a percentage of 6.8% where 5 were females (5.6% of 89 females) and 5 were males (8.5% of 59 males).ConclusionsThe number of individuals who present for blepharoplasty operation with a history of Major Depressive disorder needs to take a special consideration. A link between MDD and cosmetic operation decision should be further studied.Disclosure of interestThe authors have not supplied their declaration of competing interest.

Discriminating bipolar depression from major depressive disorder with polygenic risk scores

2020 ◽  
pp. 1-8 ◽  
Author(s):  
David T. Liebers ◽  
Mehdi Pirooznia ◽  
Andrea Ganna ◽  
Fernando S. Goes ◽  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Clinical Features ◽  
Clinical Symptoms ◽  
Bipolar Depression ◽  
Risk Scores ◽  
Characteristic Analysis ◽  
Major Depressive ◽  
Polygenic Risk ◽  
Increased Risk

Abstract Background Although accurate differentiation between bipolar disorder (BD) and unipolar major depressive disorder (MDD) has important prognostic and therapeutic implications, the distinction is often challenging based on clinical grounds alone. In this study, we tested whether psychiatric polygenic risk scores (PRSs) improve clinically based classification models of BD v. MDD diagnosis. Methods Our sample included 843 BD and 930 MDD subjects similarly genotyped and phenotyped using the same standardized interview. We performed multivariate modeling and receiver operating characteristic analysis, testing the incremental effect of PRSs on a baseline model with clinical symptoms and features known to associate with BD compared with MDD status. Results We found a strong association between a BD diagnosis and PRSs drawn from BD (R2 = 3.5%, p = 4.94 × 10−12) and schizophrenia (R2 = 3.2%, p = 5.71 × 10−11) genome-wide association meta-analyses. Individuals with top decile BD PRS had a significantly increased risk for BD v. MDD compared with those in the lowest decile (odds ratio 3.39, confidence interval 2.19–5.25). PRSs discriminated BD v. MDD to a degree comparable with many individual symptoms and clinical features previously shown to associate with BD. When compared with the full composite model with all symptoms and clinical features PRSs provided modestly improved discriminatory ability (ΔC = 0.011, p = 6.48 × 10−4). Conclusions Our study demonstrates that psychiatric PRSs provide modest independent discrimination between BD and MDD cases, suggesting that PRSs could ultimately have utility in subjects at the extremes of the distribution and/or subjects for whom clinical symptoms are poorly measured or yet to manifest.

scholarly journals Comparison of depressive episodes in bipolar disorder and in major depressive disorder within bipolar disorder pedigrees

2011 ◽  
Vol 199 (4) ◽  
pp. 303-309 ◽  
Author(s):  
Philip B. Mitchell ◽  
Andrew Frankland ◽  
Dusan Hadzi-Pavlovic ◽  
Gloria Roberts ◽  
Justine Corry ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Clinical Features ◽  
Bipolar Depression ◽  
Bipolar Affective Disorder ◽  
Probabilistic Approach ◽  
Psychomotor Retardation ◽  
Major Depressive ◽  
Depressive Episodes

BackgroundAlthough genetic epidemiological studies have confirmed increased rates of major depressive disorder among the relatives of people with bipolar affective disorder, no report has compared the clinical characteristics of depression between these two groups.AimsTo compare clinical features of depressive episodes across participants with major depressive disorder and bipolar disorder from within bipolar disorder pedigrees, and assess the utility of a recently proposed probabilistic approach to distinguishing bipolar from unipolar depression. A secondary aim was to identify subgroups within the relatives with major depression potentially indicative of ‘genetic’ and ‘sporadic’ subgroups.MethodPatients with bipolar disorder types 1 and 2 (n = 246) and patients with major depressive disorder from bipolar pedigrees (n = 120) were assessed using the Diagnostic Interview for Genetic Studies. Logistic regression was used to identify distinguishing clinical features and assess the utility of the probabilistic approach. Hierarchical cluster analysis was used to identify subgroups within the major depressive disorder sample.ResultsBipolar depression was characterised by significantly higher rates of psychomotor retardation, difficulty thinking, early morning awakening, morning worsening and psychotic features. Depending on the threshold employed, the probabilistic approach yielded a positive predictive value ranging from 74% to 82%. Two clusters within the major depressive disorder sample were found, one of which demonstrated features characteristic of bipolar depression, suggesting a possible ‘genetic’ subgroup.ConclusionsA number of previously identified clinical differences between unipolar and bipolar depression were confirmed among participants from within bipolar disorder pedigrees. Preliminary validation of the probabilistic approach in differentiating between unipolar and bipolar depression is consistent with dimensional distinctions between the two disorders and offers clinical utility in identifying patients who may warrant further assessment for bipolarity. The major depressive disorder clusters potentially reflect genetic and sporadic subgroups which, if replicated independently, might enable an improved phenotypic definition of underlying bipolarity in genetic analyses.

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