Dysfunctional attitudes as a moderator of pharmacotherapy and psychotherapy for chronic depression

Identifying subgroups with differential response to CBASP versus Escitalopram during the first eight weeks of treatment in outpatients with persistent depressive disorder

There exists little empirical evidence helping clinicians to select the most effective treatment for individual patients with persistent depressive disorder (PDD). This study identifies and characterizes subgroups of patients with PDD who are likely to benefit more from an acute treatment with psychotherapy than from pharmacotherapy and vice versa. Non-medicated outpatients with PDD were randomized to eight weeks of acute treatment with the Cognitive Behavioral Analysis System of Psychotherapy (CBASP; n = 29) or escitalopram plus clinical management (ESC/CM; n = 31). We combined several baseline variables to one composite moderator and identified two subgroups of patients: for 56.0%, ESC/CM was associated with a greater reduction in depression severity than CBASP, for the remaining 44.0%, it was the other way around. Patients likely to benefit more from ESC/CM were more often female, had higher rates of moderate-to-severe childhood trauma, more adverse life events and more previous suicide attempts. Patients likely to benefit more from CBASP were older, had more often an early illness onset and more previous treatments with antidepressants. Symptomatic response, remission, and reductions in symptom severity occurred more often in those patients treated with their likely more effective treatment condition. The findings suggest that the baseline phenotype of patients with PDD moderates their benefit from acute treatment with CBASP relative to ESC/CM. Once confirmed in an independent sample, these results could serve to guide the choice between primarily psychotherapeutic or pharmacological treatments for outpatients with PDD.

Associations of dysfunctional attitudes, ruminations and metacognitive beliefs about rumination with pharmacological treatment response in patients with first episode of major depression

INTRODUCTION

The aim of this study is to investigate whether treatment with selective serotonin reuptake inhibitors (SSRI) has an effect on the ruminative response, ruminative beliefs and dysfunctional attitudes (DA), and to evaluate the effects of pre-treatment dysfunctional attitudes and rumination levels on treatment response in individuals diagnosed with the first episode of major depression (MD).

METHODS

110 patients with MD participated in this study. Participants were evaluated with the Hamilton Depression Rating Scale (HDRS), the Clinical Global Impression Scale (CGI), the Short Version of Ruminative Response Scale (RRS), the Positive Beliefs about Rumination Scale (PBRS), the Negative Beliefs about Rumination Scale (NBRS), and the Dysfunctional Attitude Scale form A (DAS-A) before receiving SSRI treatment and 2 months after the onset of treatment.

RESULTS

After two months of SSRI treatment, patients were divided into two groups, remission and non-remission groups. The decrease in RRS subscales and total scores, NBRS uncontrollability and danger of ruminations score, PBRS total score and DAS-A autonomous attitude scores were significantly higher in the remission group. RRS and DAS-A scores were found to be predictors of remission.

CONCLUSIONS

DA and ruminations may be associated with poor response to SSRI treatment in depression. KEY POINTSAfter treatment with selective serotonin reuptake inhibitors, ruminations, dysfunctional attitudes, and positive and negative metacognitions on ruminations significantly decreased in patients with a first episode of major depression.The decrease in ruminations, autonomous attitudes, the metacognitions on the uncontrollability and danger of ruminations, and positive metacognitions on ruminations was higher in remission group compared to the non-remission group.Ruminations and dysfunctional attitudes significantly predicted remission in first episode of major depression.

Discrepancies between self-rated depression and observed depression severity: The effects of personality and dysfunctional attitudes

BACKGROUND

Patient self-reports and clinician ratings of depression severity can differ substantially. The aim of the current study was to explore factors associated with discrepancies between depressed patients' Patient Health Questionnaire (PHQ-9) self-reports and clinicians' Hamilton Rating Scale for Depression (HAMD-17) ratings.

METHODS

We first computed discrepancy scores defined as the standardized weighted HAMD-17 total score minus the standardized PHQ-9 total score. To assess correlates of inconsistent scores, results of patients with similar standardized scores were removed (i.e., within ½ standard deviation, n = 270). Positive values indicate underreporting (HAMD-17 > PHQ-9), i.e., the underreporting group (n = 200); and negative discrepancy scores indicate overreporting (PHQ-9 > HAMD-17), i.e., the overreporting group (n = 221). We examined the relationship of demographic, dysfunctional attitudes and personality variables to the discrepancies between self and observer rated depression.

RESULTS

There were significant differences in extraversion, psychoticism, neuroticism, dysfunctional attitudes and occupation between the underreporting group and the overreporting group (all p < .05). When controlling for potential confounding variables, being a working professional and having high neuroticism and dysfunctional attitudes were significantly associated with overestimating symptoms of depression (e.g., professional: OR, 2.89; 95% CI, 1.67-5.00; p < .001; high neuroticism: OR, 7.08; 95% CI, 1.47-34.08; p < .001;dysfunctional attitudes: OR, 1.01; 95% CI, 1.00-1.02; p = .030). People with average, or high extraversion tended to underestimate scores (average extraversion: OR, 0.59; 95% CI, 0.37-0.95; high extraversion: OR, 0.48; 95% CI, 0.24-0.98).

CONCLUSIONS

This study is the first to use PHQ-9 and HAMD-17 to explore the discrepancies between self and observer rated depression. Discrepancies occurred between the PHQ-9 score and HAMD-17 score, which were related to neuroticism, extraversion, dysfunctional attitudes and being a working professional. Future research should clarify the relationship between these factors and therapeutic effects of treatments, including adverse outcomes.

Cognitive Vulnerabilities as Prognostic Predictors of Acute and Follow-up Outcomes in Seasonal Affective Disorder Treatment with Light Therapy or Cognitive-Behavioral Therapy

BACKGROUND

First-line treatments for winter seasonal affective disorder include light therapy and cognitive-behavioral therapy; however, it is unclear whether particular patient profiles respond differentially to each treatment type. This study examined baseline patient cognitive and chronobiological vulnerabilities as prognostic and prescriptive predictors of acute and follow-up treatment outcomes.

METHODS

177 adults with seasonal affective disorder were randomized to 6-weeks of either light therapy or cognitive-behavioral therapy. Participants completed baseline measures of cognitive vulnerabilities (Dysfunctional Attitudes Scale; Ruminative Response Scale; Seasonal Belief Questionnaire) and chronobiological vulnerability (Morningness-Eveningness Questionnaire). Depression was assessed at pre- and post-treatment and at follow-ups one and two winters later.

RESULTS

Pre-treatment depression severity correlated significantly with each cognitive vulnerability measure, and significantly predicted future depression. After controlling for pre-treatment depression, higher scores on the Morningness-Eveningness Questionnaire were prognostic of lower depression at treatment endpoint, but no cognitive vulnerability emerged as a prognostic or prescriptive predictor of outcome.

CONCLUSIONS

Greater morningness was associated with less severe post-treatment depression in both cognitive-behavior therapy and light therapy. No cognitive vulnerability emerged as a prognostic or prescriptive predictor, perhaps because they correlated with pre-treatment depression severity, a robust predictor of outcome. Future research should test alternative cognitive constructs.

Composite interaction tree for simultaneous learning of optimal individualized treatment rules and subgroups

Treatment response heterogeneity has long been observed in patients affected by chronic diseases. Administering an individualized treatment rule (ITR) offers an opportunity to tailor treatment strategies according to patient-specific characteristics. Overly complex machine learning methods for estimating ITRs may produce treatment rules that have higher benefit but lack transparency and interpretability. In clinical practices, it is desirable to derive a simple and interpretable ITR while maintaining certain optimality that leads to improved benefit in subgroups of patients, if not on the overall sample. In this work, we propose a tree-based robust learning method to estimate optimal piecewise linear ITRs and identify subgroups of patients with a large benefit. We achieve these goals by simultaneously identifying qualitative and quantitative interactions through a tree model, referred to as the composite interaction tree (CITree). We show that it has improved performance compared to existing methods on both overall sample and subgroups via extensive simulation studies. Lastly, we fit CITree to Research Evaluating the Value of Augmenting Medication with Psychotherapy trial for treating patients with major depressive disorders, where we identified both qualitative and quantitative interactions and subgroups of patients with a large benefit.

Depressive Symptoms Are Associated with More Hopelessness among White than Black Older Adults

BACKGROUND

Hopelessness is a core component of depression. Our information is, however, very limited on ethnic variations in the magnitude of the link between depression and hopelessness. Using a national sample of older adults in United States, we compared Blacks and Whites for the magnitude of the association between depressive symptoms and hopelessness.

METHODS

With a cross-sectional design, we used baseline data of the Religion, Aging, and Health Survey, 2001. Linear regression models were used for data analysis. Depressive symptoms (CES-D) and hopelessness were conceptualized as independent and dependent variables in different models, respectively. Demographic factors (age and gender), socioeconomic status (education and marital status), and health (self-rated health) were covariates. Ethnicity was the moderator.

RESULTS

In the pooled sample, higher depressive symptoms were predictive of hopelessness, above and beyond all covariates. We also found significant interactions suggesting that the association between depressive symptoms and hopelessness is weaker among Blacks compared to Whites. In ethnic-specific models, there were significant associations between depressive symptoms and hopelessness among Whites but not Blacks.

CONCLUSION

Depressive symptoms accompany more hopelessness among Whites than Blacks. This finding may explain why Blacks with depression have a lower tendency to commit suicide. Future research should test whether or not Whites with depression better respond to psychotherapies and cognitive behavioral therapies that focus on hope enhancement. This finding may explain differential correlates of depression based on race and ethnicity.

Psychometric Properties of the Revised and Abbreviated form of the Turkish Version of the Dysfunctional Attitude Scale

Dysfunctional attitudes are considered to be important risk factors in the onset and maintenance of depression. Thus, a psychometrically reliable and valid measure is necessary for understanding depression. The Dysfunctional Attitude Scale (DAS) is widely used and has good psychometric properties, but there is no consensus about its factor structure. To examine its psychometric properties and factor structure, a total of 885 individuals consisting of patients with depression and healthy controls were evaluated. After the sample was randomly divided into two subsets, exploratory and confirmatory factor analyses were performed. Then the DAS was abbreviated according to the factor profiles and theoretical background. Analyses indicated two factors, named Perfectionism/Achievement and Need for Approval/Dependency for the revised DAS . Reliability analyses revealed a good internal consistency, and the concurrent validity indicated significant correlations with the Beck Depression Inventory and the Automatic Thoughts Questionnaire.

Neural effects of cognitive-behavioural therapy on dysfunctional attitudes in depression

BACKGROUND

Dysfunctional attitudes are a feature of depression that has been correlated with receptor binding abnormalities in limbic and cortical regions. We sought to investigate the functional neuroanatomy of dysfunctional attitudes in major depressive disorder (MDD) and the effects of treatment with cognitive-behavioural therapy (CBT).

METHOD

Participants were 16 patients with unipolar depression in an acute depressive episode (mean age 40.0 years) and 16 matched healthy controls (mean age 39.9 years). Patients were medication free and received a course of treatment with CBT. All participants underwent functional magnetic resonance imaging (fMRI) scans at baseline and at week 16, prior to the initiation of therapy and following the course of CBT for patients. During each fMRI scan, participants indicated their attributions to statements from a modified Dysfunctional Attitudes Scale (mDAS-48).

RESULTS

MDD patients in an acute depressive episode endorsed a greater number of extreme responses to DAS statements, which normalized following CBT treatment. Extreme attributions were associated with greater activation in the left hippocampal region, inferior parietal lobe and precuneus in MDD patients as compared with healthy controls as a main effect of group. An interaction effect was found in the left parahippocampal region, which showed less attenuation in MDD patients at the follow-up scan relative to healthy controls.

CONCLUSIONS

Attenuation of activity in the parahippocampal region may be indicative of an improvement in dysfunctional thinking following CBT treatment in depression, while persistent engagement of regions involved in attentional processing and memory retrieval with extreme attributions reflects a trait feature of depression.

Moderators of response to cognitive behavioural therapy as an adjunct to pharmacotherapy for treatment-resistant depression in primary care

BACKGROUND

Stratified medicine aims to improve clinical and cost-effectiveness by identifying moderators of treatment that indicate differential response to treatment. Cognitive behavioural therapy (CBT) is often offered as a 'next-step' for patients who have not responded to antidepressants, but no research has examined moderators of response to CBT in this population. We aimed, therefore, to identify moderators of response to CBT in treatment resistant depression.

METHODS

We used linear regression to test for interactions between treatment effect and 14 putative moderator variables using data from the CoBalT randomised controlled trial. This trial examined the effectiveness of CBT given in addition to usual care (n=234) compared with usual care alone (n=235) for primary care patients with treatment resistant depression.

RESULTS

Age was the only variable with evidence for effect modification (p Value for interaction term=0.012), with older patients benefiting the most from CBT. We found no evidence of effect modification by any other demographic, life, illness, personality trait, or cognitive variable (p≥0.2).

CONCLUSIONS

Given the largely null findings, a stratified approach that might limit offering CBT is premature; CBT should be offered to all individuals where antidepressant medication has failed.

An Exploratory Analysis of the Factor Structure of the Dysfunctional Attitude Scale–Form A (DAS)

A number of studies have attempted to identify the factor structure of the Dysfunctional Attitude Scale (DAS). However, no studies have done so using a clinical sample of outpatients likely to generalize to the clinical trials in which the DAS is commonly used. The current investigation utilized exploratory structural equation modeling in an outpatient sample ( N = 982) and found support for a one-factor solution (composed of 19 items). This solution was largely confirmed in a second outpatient sample ( N = 301). Construct validity was demonstrated in correlations with measures of depression, social interaction anxiety, and symptoms of obsessive-compulsive disorder.

Persistence of chronic major depression: a national prospective study

BACKGROUND

Chronic major depressive disorder (CMDD) is highly prevalent and associated with high personal and societal cost. Identifying risk factors for persistence and remission of CMDD may help in developing more effective treatment and prevention interventions.

METHODS

Prospective cohort study of individuals participating in the National Epidemiologic Survey on Alcohol and Related Conditions (Wave 1; n=43,093) and its 3-year follow-up (Wave 2; n=34,653) who met a diagnosis of CMDD at the Wave 1 assessment.

RESULTS

Among the 504 respondents who met criteria for present CMDD at Wave 1, only 63 (11.52%) of them continued to meet criteria of CMDD. A history of childhood sexual abuse, earlier onset of MDD, presence of comorbidity and a history of treatment-seeking for depression predicted persistence of CMDD three years after the baseline evaluation.

LIMITATIONS

Our sample is limited to adults, our follow-up period was only three-years and the diagnosis of CMDD at baseline was retrospective.

CONCLUSIONS

CMDD shows high rates of remission within three years of baseline assessment, although some specific risk factors predict a persistent course. Given the high personal and societal cost associated with CMDD, there is a need to develop and disseminate effective interventions for CMDD.