Bipolar Disorder or Substance-Induced Mood Disorder in an Adolescent?

2010 ◽  
Vol 20 (4) ◽  
pp. 343-346
Author(s):  
Vinay Saranga ◽  
Barbara J. Coffey
2017 ◽  
Vol 13 (3) ◽  
pp. 197 ◽  
Author(s):  
Jamaluddin Nimah, MD ◽  
Alexander Chen, BA ◽  
Kelly N. Gable, PharmD, BCPP ◽  
Alan R. Felthous, MD

A variety of medications, most notably tricyclic antidepressants, and other antidepressants including venlafaxine have been reported to have triggered manic episodes in patients with bipolar disorder. The synthetic opioid tramadol has also been associated with mania activation. This report describes an unusual case of tramadol-associated mania in a patient without a charted diagnosis of bipolar disorder. However, she had a history of two prior episodes of mania following administration of tramadol that were also believed to be related to medication-induced mood disorder rather than underlying bipolar disorder. We hypothesize that tramadol-associated mania may have an underlying mechanism involving monoamine neurotransmission and increased oxidative stress.


2019 ◽  
Vol 7 ◽  
pp. 2050313X1982773
Author(s):  
Haruki Ikawa ◽  
Sho Kanata ◽  
Akihisa Akahane ◽  
Mamoru Tochigi ◽  
Naoki Hayashi ◽  
...  

Methamphetamine, a potent psychostimulant, may cause a condition of mood disorder among users. However, arguments concerning methamphetamine-induced mood disorder remain insufficient. This case study describes a male with methamphetamine-induced bipolar disorder not accompanied by psychotic symptoms, who twice in an 11-year treatment period, manifested an ultra-rapid cycler condition alternating between manic and depressive mood states with 3- to 7-day durations for each. The conditions ensued after a bout of high-dose methamphetamine use and shifted to a moderately depressive condition within 1 month after the use under a treatment regimen of aripiprazole and mood stabilizers. The cycler condition may be characteristic of a type of the bipolar disorder and a sign usable for characterization. Further efforts are needed to seek distinctive features and to improve diagnostic assessment of methamphetamine-induced mood disorders.


2021 ◽  
pp. 1-8
Author(s):  
L. Propper ◽  
A. Sandstrom ◽  
S. Rempel ◽  
E. Howes Vallis ◽  
S. Abidi ◽  
...  

Abstract Background Offspring of parents with major mood disorders (MDDs) are at increased risk for early psychopathology. We aim to compare the rates of neurodevelopmental disorders in offspring of parents with bipolar disorder, major depressive disorder, and controls. Method We established a lifetime diagnosis of neurodevelopmental disorders [attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, communication disorders, intellectual disabilities, specific learning disorders, and motor disorders] using the Kiddie Schedule for Affective Disorders and Schizophrenia, Present and Lifetime Version in 400 participants (mean age 11.3 + s.d. 3.9 years), including 93 offspring of parents with bipolar disorder, 182 offspring of parents with major depressive disorder, and 125 control offspring of parents with no mood disorder. Results Neurodevelopmental disorders were elevated in offspring of parents with bipolar disorder [odds ratio (OR) 2.34, 95% confidence interval (CI) 1.23–4.47, p = 0.010] and major depressive disorder (OR 1.87, 95% CI 1.03–3.39, p = 0.035) compared to controls. This difference was driven by the rates of ADHD, which were highest among offspring of parents with bipolar disorder (30.1%), intermediate in offspring of parents with major depressive disorder (24.2%), and lowest in controls (14.4%). There were no significant differences in frequencies of other neurodevelopmental disorders between the three groups. Chronic course of mood disorder in parents was associated with higher rates of any neurodevelopmental disorder and higher rates of ADHD in offspring. Conclusions Our findings suggest monitoring for ADHD and other neurodevelopmental disorders in offspring of parents with MDDs may be indicated to improve early diagnosis and treatment.


2015 ◽  
Vol 12 (2) ◽  
pp. 160-168 ◽  
Author(s):  
Sarah Goodday ◽  
Adrian Levy ◽  
Gordon Flowerdew ◽  
Julie Horrocks ◽  
Paul Grof ◽  
...  

2016 ◽  
Vol 208 (4) ◽  
pp. 343-351 ◽  
Author(s):  
Daniel J. Martin ◽  
Zia Ul-Haq ◽  
Barbara I. Nicholl ◽  
Breda Cullen ◽  
Jonathan Evans ◽  
...  

BackgroundThe relative contribution of demographic, lifestyle and medication factors to the association between affective disorders and cardiometabolic diseases is poorly understood.AimsTo assess the relationship between cardiometabolic disease and features of depresion and bipolar disorder within a large population sample.MethodCross-sectional study of 145 991 UK Biobank participants: multivariate analyses of associations between features of depression or bipolar disorder and five cardiometabolic outcomes, adjusting for confounding factors.ResultsThere were significant associations between mood disorder features and ‘any cardiovascular disease’ (depression odds ratio (OR) = 1.15, 95% CI 1.12–1.19; bipolar OR = 1.28, 95% CI 1.14–1.43) and with hypertension (depression OR = 1.15, 95% CI 1.13–1.18; bipolar OR = 1.26, 95% CI 1.12–1.42). Individuals with features of mood disorder taking psychotropic medication were significantly more likely than controls not on psychotropics to report myocardial infarction (depression OR = 1.47, 95% CI 1.24–1.73; bipolar OR = 2.23, 95% CI 1.53–3.57) and stroke (depression OR = 2.46, 95% CI 2.10–2.80; bipolar OR = 2.31, 95% CI 1.39–3.85).ConclusionsAssociations between features of depression or bipolar disorder and cardiovascular disease outcomes were statistically independent of demographic, lifestyle and medication confounders. Psychotropic medication may also be a risk factor for cardiometabolic disease in individuals without a clear history of mood disorder.


2010 ◽  
Vol 32 (4) ◽  
pp. 416-423 ◽  
Author(s):  
Odeilton Tadeu Soares ◽  
Doris Hupfeld Moreno ◽  
Eduardo Calmon de Moura ◽  
Jules Angst ◽  
Ricardo Alberto Moreno

OBJECTIVE: Bipolar disorders are often not recognized and undertreated. The diagnosis of current or past episodes of hypomania is of importance in order to increase diagnostic certainty. The Hypomania Checklist-32 is a self-applied questionnaire aimed at recognizing these episodes. As part of the international collaborative effort to develop multi-lingual versions of the Hypomania Checklist-32, we aimed to validate the Brazilian version and to compare its psychometric properties with those of the Mood Disorder Questionnaire. METHOD: Adult outpatients with bipolar disorder I (n = 37), bipolar disorder II (n = 44) and major depressive disorder (n = 42) of a specialized mood disorder unit were diagnosed according to DSM-IV-TR using a modified version of the SCID. We analyzed the internal consistency and discriminative ability of the Hypomania Checklist-32 Brazilian version in relation to the Mood Disorder Questionnaire. RESULTS: The internal consistency of the Brazilian Hypomania Checklist-32, analyzed using Cronbach's alpha coefficient, was 0.86. A score of 18 or higher in the Hypomania Checklist-32 Brazilian version distinguished between bipolar disorder and major depressive disorder, with a sensitivity of 0.75 and a specificity of 0.58, compared to 0.70 and 0.58, respectively, for the Mood Disorder Questionnaire (score > 7). The Hypomania Checklist-32 Brazilian version showed a dual factor structure characterized by "active/elated" and "risk-taking/irritable" items. Hence, the Hypomania Checklist-32 Brazilian version was found to have a higher sensitivity but the same specificity as the Mood Disorder Questionnaire. CONCLUSION: The Brazilian version of the Hypomania Checklist-32 has adequate psychometric properties and helps discriminating bipolar disorder from major depressive disorder (but not bipolar disorder I from bipolar disorder II) with good sensitivity and specificity indices, similar to those of the Mood Disorder Questionnaire.


2011 ◽  
Vol 12 ◽  
pp. S29
Author(s):  
Piyush Das ◽  
Rahul Kashyap ◽  
Mark Frye ◽  
Simon Kung ◽  
Timothy Lineberry ◽  
...  

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Anna Sasdelli ◽  
Loredana Lia ◽  
C. Claudia Luciano ◽  
Claudia Nespeca ◽  
Domenico Berardi ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document