Treatment resistance in bipolar disorder

2011 ◽  
Vol 26 (S2) ◽  
pp. 2025-2025
Author(s):  
Z. Rihmer
Keyword(s):  
Bipolar Disorder ◽  
Major Depression ◽  
Depressive Episode ◽  
Depressive Disorders ◽  
Major Depressive Episode ◽  
Treatment Resistance ◽  
Mood Stabilizers ◽  
Common Source ◽  
Major Depressive ◽  
Unipolar Major Depression

Antidepressant-resistant major depression (AD-RD) is a great challenge for the treating clinician. The most widely accepted definition of AD-RD refers that the depressed patient does not show a clinically significant response after at least two adequate trials of different classes of antidepressants. In spite of the fact that there are several causes of AD-RD in general, there is increasing evidence that one of the most common sources of it is the unrecognized bipolar nature of the “unipolar” major depressive episode, when the patients receive antidepressant monotherapy - unprotected by mood stabilizers/atypical antipsychotics. While it is well documented that the optimal clinical response to antidepressants is much rare in bipolar I and II than in unipolar major depression, only the most recent clinical studies have focused on the boundaries between treatment-resistant unipolar major depressive disorder and bipolar disorder. The most widely noted conclusion of the prior studies on AD-RD is that if noncompliance, hypothyreosis, use of “depressiogenic” drugs and pharmacokinetic causes etc, can be excluded, antidepressant-resistance reflects the heterogeneity of depressive disorders and different subgroups of depressed patients respond (or do not respond) to different drugs. However, current psychopathological research on the complex relationship between unipolar depression and bipolar disorders show that the most common source of antidepressant-resistance in DSM-IV diagnosed unipolar major depression is the result of the subthreshold or unrecognized bipolar nature of the depressive episode and antidepressant-induced (hypo)manic switches, antidepressant-resistance and “suicide-inducing” potential of antidepressants seem to be related to the underlying bipolarity of the major depressive episode.

scholarly journals The influence of the comorbidity between depression and alcohol use disorder on suicidal behaviors in the São Paulo Epidemiologic Catchment Area Study, Brazil

2010 ◽  
Vol 32 (4) ◽  
pp. 396-408 ◽  
Author(s):  
Bruno Mendonça Coêlho ◽  
Laura Helena Andrade ◽  
Francisco Bevilacqua Guarniero ◽  
Yuan-Pang Wang
Keyword(s):  
Substance Use ◽  
Alcohol Use ◽  
Substance Use Disorders ◽  
Depressive Episode ◽  
Depressive Disorders ◽  
Major Depressive Episode ◽  
Alcohol Use Disorders ◽  
Major Depressive ◽  
And Behaviors ◽  
And Gender

OBJECTIVE: To investigate in a community sample the association of suicide-related cognitions and behaviors ("thoughts of death", "desire for death", "suicidal thoughts", and "suicidal attempts") with the comorbidity of depressive disorders (major depressive episode or dysthymia) and alcohol or substance use disorders. METHOD: The sample was 1464 subjects interviewed in their homes using the Composite International Diagnostic Interview to generate DSM-III-R diagnosis. Descriptive statistics depicted the prevalence of suicide-related cognitions and behaviors by socio-demographic variables and diagnoses considered (major depressive episode, dysthymia, alcohol or substance use disorders). We performed a multivariate logistic regression analysis to estimate the effect of comorbid major depressive episode/dysthymia and alcohol or substance use disorders on each of the suicide-related cognitions and behaviors. RESULTS: The presence of major depressive episode and dysthymia was significantly associated with suicide-related cognitions and behaviors. In the regression models, suicide-related cognitions and behaviors were predicted by major depressive episode (OR = range 2.3-9.2) and dysthymia (OR = range 5.1-32.6), even in the presence of alcohol use disorders (OR = range 2.3-4.0) or alcohol or substance use disorders (OR = range 2.7-2.8). The interaction effect was observed between major depressive episode and alcohol use disorders, as well as between dysthymia and gender. Substance use disorders were excluded from most of the models. CONCLUSION: Presence of major depressive episode and dysthymia influences suicide-related cognitions and behaviors, independently of the presence of alcohol or substance use disorders. However, alcohol use disorders and gender interact with depressive disorders, displaying a differential effect on suicide-related cognitions and behaviors.

Work stress as a risk factor for major depressive episode(s)

2004 ◽  
Vol 35 (6) ◽  
pp. 865-871 ◽  
Author(s):  
JIANLI WANG
Keyword(s):  
Multivariate Analysis ◽  
Risk Factor ◽  
Major Depression ◽  
Work Stress ◽  
Depressive Episode ◽  
Major Depressive Episode ◽  
Working Population ◽  
Major Depressive ◽  
Major Depressive Episodes ◽  
Depressive Episodes

Background. Major depression is a prevalent mental disorder in the general population, with a multi-factorial etiology. However, work stress as a risk factor for major depression has not been well studied.Method. Using a longitudinal study design, this analysis investigated the association between the levels of work stress and major depressive episode(s) in the Canadian working population, aged 18 to 64 years. Data from the longitudinal cohort of the Canadian National Population Health Survey (NPHS) were used (n=6663). The NPHS participants who did not have major depressive episodes (MDE) at baseline (1994–1995 NPHS) were classified into four groups by the quartile values of the baseline work stress scores. The proportion of MDE of each group was calculated using the 1996–1997 NPHS data.Results. The first three quartile groups had a similar risk of MDE. Those who had a work stress score above the 75th percentile had an elevated risk of MDE (7·1%). Using the 75th percentile as a cut-off, work stress was significantly associated with the risk of MDE in multivariate analysis (odds ratio=2·35, 95% confidence interval 1·54–3·77). Other factors associated with MDE in multivariate analysis included educational level, number of chronic medical illnesses and child and adulthood traumatic events. There was no evidence of effect modification between work stress and selected sociodemographic, clinical and psychosocial variables.Conclusions. Work stress is an independent risk factor for the development of MDE in the working population. Strategies to improve working environment are needed to keep workers mentally healthy and productive.

scholarly journals Descriptive analysis of the economic burden of treatment resistance in a major depressive episode

2019 ◽  
Vol 36 (2) ◽  
pp. 329-335
Author(s):  
Qian Cai ◽  
John J. Sheehan ◽  
Bingcao Wu ◽  
Larry Alphs ◽  
Nancy Connolly ◽  
...  
Keyword(s):  
Economic Burden ◽  
Depressive Episode ◽  
Major Depressive Episode ◽  
Descriptive Analysis ◽  
Treatment Resistance ◽  
Major Depressive ◽  
Burden Of Treatment

Superimposition of acute depressive episode on chronic neurotic symptoms: one of the reasons for refractoriness of depression

1994 ◽  
Vol 9 (6) ◽  
pp. 307-308
Author(s):  
F Okada ◽  
M Daiguji
Keyword(s):  
Mental Health ◽  
Major Depression ◽  
Panic Disorder ◽  
Personality Disorders ◽  
Depressive Episode ◽  
Major Depressive Episode ◽  
Minor Depression ◽  
Major Depressive ◽  
Collaborative Program ◽  
Double Depression

Keller and Shapiro (1982) reported that 26% of the first 101 patients who entered the National Institute of Mental Health (NIMH)-Clinical Research Branch Collaborative Program on the Psychobiology of Depression (Katz and Klerman, 1979; Katz et al, 1979) with a major depressive episode were found to have a pre-existing chronic minor depression of at least 2 years’ duration. They labeled this Phenomenon “double depression„ (Keller and Shapiro, 1982). Furthermore, patients with panic disorder almost universally suffer from major depression at some time in the course of their disorder (Coryell et al, 1988; Stein and Uhde, 1988; Vollrath et al, 1990). “Double diagnosis„, or identification of psychotic or related syndromes, co-existing with personality disorders, have received much attention in the literature in recent years (Sanderson et al, 1990; Torgersen, 1990; Barsky et al, 1992). Much of the research on comorbidity between depressive and anxiety disorders has been summarized in two edited volumes (Kendall and Watson, 1989; Maser and Cloninger, 1990).

scholarly journals Brain-derived neurotrophic factor levels and bipolar disorder in patients in their first depressive episode: 3-year prospective longitudinal study

2014 ◽  
Vol 205 (1) ◽  
pp. 29-35 ◽  
Author(s):  
Zezhi Li ◽  
Chen Zhang ◽  
Jinbo Fan ◽  
Chengmei Yuan ◽  
Jia Huang ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Logistic Regression ◽  
Decision Tree ◽  
Depressive Episode ◽  
Plasma Levels ◽  
Major Depressive Episode ◽  
Mrna Levels ◽  
Healthy Controls ◽  
Bdnf Mrna ◽  
Major Depressive

BackgroundEarly identification of patients with bipolar disorder during their first depressive episode is beneficial to the outcome of the disorder and treatment, but traditionally this has been a great challenge to clinicians. Recently, brain-derived neurotrophic factor (BDNF) has been suggested to be involved in the pathophysiology of bipolar disorder and major depressive disorder (MDD), but it is not clear whether BDNF levels can be used to predict bipolar disorder among patients in their first major depressive episode.AimsTo explore whether BDNF levels can differentiate between MDD and bipolar disorder in the first depressive episode.MethodA total of 203 patients with a first major depressive episode as well as 167 healthy controls were recruited. After 3 years of bi-annual follow-up, 164 patients with a major depressive episode completed the study, and of these, 21 were identified as having bipolar disorder and 143 patients were diagnosed as having MDD. BDNF gene expression and plasma levels at baseline were compared among the bipolar disorder, MDD and healthy control groups. Logistic regression and decision tree methods were applied to determine the best model for predicting bipolar disorder at the first depressive episode.ResultsAt baseline, patients in the bipolar disorder and MDD groups showed lower BDNF mRNA levels (P<0.001 and P = 0.02 respectively) and plasma levels (P = 0.002 and P = 0.01 respectively) compared with healthy controls. Similarly, BDNF levels in the bipolar disorder group were lower than those in the MDD group. These results showed that the best model for predicting bipolar disorder during a first depressive episode was a combination of BDNF mRNA levels with plasma BDNF levels (receiver operating characteristics (ROC) = 0.80, logistic regression; ROC = 0.84, decision tree).ConclusionsOur findings suggest that BDNF levels may serve as a potential differential diagnostic biomarker for bipolar disorder in a patient's first depressive episode.

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