Outcomes of acute phase cognitive therapy in outpatients with anxious versus nonanxious depression

Evaluating the effects of tDCS on depressive and anxiety symptoms from a transdiagnostic perspective: a systematic review and meta-analysis of randomized controlled trials

Depressive and anxiety symptoms are prevalent among patients with various clinical conditions, resulting in diminished emotional well-being and impaired daily functioning. The neural mechanisms underlying these symptoms, particularly across different disorders, remain unclear, limiting the effectiveness of conventional treatments. Therefore, it is crucial to elucidate the neural underpinnings of depressive and anxiety symptoms and investigate novel, effective treatments across clinical conditions. Transcranial direct current stimulation (tDCS) is a neuromodulatory technique that can help understand the neural underpinnings of symptoms and facilitate the development of interventions, addressing the two research gaps at both neural and clinical levels. Thus, this systematic review and meta-analysis aims to evaluate the existing evidence regarding the therapeutic efficacy of tDCS in reducing depressive and anxiety symptoms among individuals with diverse clinical diagnoses. This review evaluated evidence from fifty-six randomized, sham-controlled trials that administered repeated tDCS sessions with a parallel design, applying a three-level meta-analytic model. tDCS targeting the left dorsolateral prefrontal cortex (DLPFC) at 2-mA intensity demonstrates moderate efficacy in alleviating depressive symptoms, identifying the left DLPFC as a transdiagnostic neural mechanism of depressive symptoms across clinical conditions. In comparison, the findings on anxiety symptoms demonstrate greater heterogeneity. tDCS over the left DLPFC is effective in reducing depressive symptoms and shows promising effects in alleviating anxiety symptoms among individuals with diverse diagnoses. These findings enhance our understanding of the neuropsychological basis of depressive and anxiety symptoms, laying the groundwork for the development of more effective tDCS interventions applicable across clinical conditions.

Prevalence and correlates of severe anxiety in patients with first hospitalization for major depressive disorder combined with dyslipidemia: a large sample cross-sectional study

Background

Anxiety symptoms and dyslipidemia are common co-morbidities in patients with major depressive disorder (MDD), and there are complex pathophysiologic as well as clinical mechanisms underlying the association between the three. In this study, we investigated the prevalence and associated factors of severe anxiety in first-time hospitalized patients with MDD with dyslipidemia.

Methods

We included 708 patients with major depressive disorder with comorbid dyslipidemia and collected their sociodemographic and general clinical data as well as biochemical parameters such as lipids, thyroid function, and blood glucose. We also completed the Hamilton Anxiety Scale (HAMA), Hamilton Depression Scale (HAMD), Positive Symptom Scale (PSS), and Clinical General Impression Scale (CGI) to assess their clinical symptoms.

Results

The prevalence of severe anxiety disorder was 11.02% in patients with MDD with comorbid dyslipidemia. Suicidal history, female gender, body mass index (BMI), HAMD score, PSS score, and FT4 level were risk factors for the development of severe anxiety symptoms. Higher HAMD scores, higher PSS scores, and suicidal history were influential factors in exacerbating severe anxiety symptoms.

Conclusion

This study reports and identifies the prevalence of severe anxiety symptoms in first-time hospitalized MDD patients with dyslipidemia, as well as risk factors for anxiety symptoms and factors influencing their severity, and these identified factors may be potentially helpful and informative in preventing and intervening in severe anxiety disorders in this target population.

Association between depression and endometriosis using data from NHANES 2005-2006

Studies on the association between depression and self-reported endometriosis are limited, and further studies are required to investigate this association. Data were collected from the National Health and Nutrition Examination Survey database (2005-2006). Based on the inclusion and exclusion criteria, 100 participants with self-reported endometriosis and 1295 participants without self-reported endometriosis were included, representing a total population of 64,989,430. Depression severity was assessed using the Patient Health Questionnaire 9 (PHQ9). A survey-weighted logistic regression analysis was performed to explore the association between depression and endometriosis. Subgroup analyses were conducted to explore heterogeneity. The prevalence of endometriosis was 7.17%. A significant positive association was found between the PHQ9 score and endometriosis. After adjusting for all covariates, the PHQ9 score positively correlated with endometriosis. Furthermore, compared with the participants without depression, those with moderate depression were more prone to have endometriosis both in unadjusted and fully adjusted model. However, the relationship between severe depression and endometriosis was not significant in all models (P > 0.05). Our findings highlight the influence of depression on the prevalence of self-reported endometriosis. Further studies are required to elucidate the causal relationship between depression and self-reported endometriosis.

Hippocampal Semaphorin 3B Improves Depression-like Behaviours in Mice by Upregulating Synaptic Plasticity and Inhibiting Neuronal Apoptosis

Depression is a global health problem, and there is a pressing need for a better understanding of its pathogenesis. Semaphorin 3B (Sema 3B) is an important axon guidance molecule that is primarily expressed in neurons and contributes to synaptic plasticity. Our previous studies using a high-throughput microarray assay suggested that Sema 3B expression was tremendously decreased during the development of depression, but the specific role and mechanisms of Sema 3B in depression are still unknown. Herein, we report that levels of Sema 3B protein are decreased in the hippocampus and serum of chronic mild stress (CMS)-treated mice. Increasing the levels of Sema 3B, either by injecting AAV-Sema 3B into the hippocampus or by injecting recombinant Sema 3B protein into the lateral ventricles, alleviated CMS-induced depression-like behaviours and enhanced the resistance to acute stress by increasing dendritic spine density in hippocampal neurons. In contrast, interfering the function of Sema 3B by injecting anti-Sema 3B antibody into the lateral ventricles decreased the resistance to acute stress. In vitro, corticosterone (CORT) treatment decreased survival rate and protein levels of Sema 3B and synapse-associated proteins in HT22 cells. Overexpression of Sema 3B improved the decreased survival rate caused by CORT by inhibiting apoptosis and increasing levels of synaptic-associated proteins. And knockdown of Sema 3B reduces the cellular resistance to CORT and the levels of synapse-associated proteins. These findings represent the first evidence for the neuroprotective mechanism of Sema 3B against stresses, suggesting that Sema 3B could be a promising novel target for the prevention and treatment of depression.

Neuromodulation Treatments of Pathological Anxiety in Anxiety Disorders, Stressor-Related Disorders, and Major Depressive Disorder: A Dimensional Systematic Review and Meta-Analysis

BACKGROUND

Pathological anxiety is responsible for major functional impairments and resistance to conventional treatments in anxiety disorders (ADs), posttraumatic stress disorder (PTSD) and major depressive disorder (MDD). Focal neuromodulation therapies such as transcranial magnetic stimulation (TMS), transcranial direct current stimulation (tDCS) and deep brain stimulation (DBS) are being developed to treat those disorders.

METHODS

We performed a dimensional systematic review and meta-analysis to assess the evidence of the efficacy of TMS, tDCS and DBS in reducing anxiety symptoms across ADs, PTSD and MDD. Reports were identified through systematic searches in PubMed/Medline, Scopus and Cochrane library (inception to November 2020), followed by review according to the PRISMA guidelines. Controlled clinical trials examining the effectiveness of brain stimulation techniques on generic anxiety symptoms in patients with ADs, PTSD or MDD were selected.

RESULTS

Nineteen studies (RCTs) met inclusion criteria, which included 589 participants. Overall, focal brain activity modulation interventions were associated with greater reduction of anxiety levels than controls [SMD: -0.56 (95% CI, -0.93 to-0.20, I ² = 77%]. Subgroup analyses revealed positive effects for TMS across disorders, and of focal neuromodulation in generalized anxiety disorder and PTSD. Rates of clinical responses and remission were higher in the active conditions. However, the risk of bias was high in most studies.

CONCLUSIONS

There is moderate quality evidence for the efficacy of neuromodulation in treating pathological anxiety.

SYSTEMATIC REVIEW REGISTRATION

https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=233084, identifier: PROSPERO CRD42021233084. It was submitted on January 29th, 2021, and registered on March 1st, 2021. No amendment was made to the recorded protocol. A change was applied for the subgroup analyses based on target brain regions, we added the putative nature (excitatory/inhibitory) of brain activity modulation.

A multidimensional investigation of anxiety sensitivity and depression outcomes in cognitive-behavioral group therapy

We examined how anxiety sensitivity - the fear of symptoms of anxiety due to their perceived harmful effects - and gender are associated with treatment trajectory and outcomes in a large outpatient sample (N = 278) who received 14-weeks of cognitive-behavioral group therapy (CBGT) for depression. Three dimensions of anxiety sensitivity (cognitive, physical, and social concerns) and depression were assessed at pre-treatment, and the latter was assessed weekly during treatment. Latent growth curve models supported a link between cognitive concerns (fears of losing control over thoughts) and greater improvement in depression near the end of treatment (i.e., weeks 10-14); gender did not moderate trajectory. Gender (i.e., identifying as a woman) and greater physical concerns (fears of physical consequences of arousal symptoms) were associated with completion of < 8 sessions. Results suggest that those with more cognitive concerns might require greater time in treatment and/or benefit most from the focus on maladaptive assumptions and core beliefs in later CBGT sessions. Future research, including investigation of intervening variables, may elucidate the mechanisms through which greater physical concerns and gender are associated with treatment non-completion. Results supported differential associations of anxiety sensitivity dimensions with depression treatment outcomes, though further research attention is needed.

A machine learning ensemble to predict treatment outcomes following an Internet intervention for depression

BACKGROUND

Some Internet interventions are regarded as effective treatments for adult depression, but less is known about who responds to this form of treatment.

METHOD

An elastic net and random forest were trained to predict depression symptoms and related disability after an 8-week course of an Internet intervention, Deprexis, involving adults (N = 283) from across the USA. Candidate predictors included psychopathology, demographics, treatment expectancies, treatment usage, and environmental context obtained from population databases. Model performance was evaluated using predictive R2$\lpar R_{{\rm pred}}^2\rpar\comma $ the expected variance explained in a new sample, estimated by 10 repetitions of 10-fold cross-validation.

RESULTS

An ensemble model was created by averaging the predictions of the elastic net and random forest. Model performance was compared with a benchmark linear autoregressive model that predicted each outcome using only its baseline. The ensemble predicted more variance in post-treatment depression (8.0% gain, 95% CI 0.8-15; total $R_{{\rm pred}}^2 \; $= 0.25), disability (5.0% gain, 95% CI -0.3 to 10; total $R_{{\rm pred}}^2 \; $= 0.25), and well-being (11.6% gain, 95% CI 4.9-19; total $R_{{\rm pred}}^2 \; $= 0.29) than the benchmark model. Important predictors included comorbid psychopathology, particularly total psychopathology and dysthymia, low symptom-related disability, treatment credibility, lower access to therapists, and time spent using certain Deprexis modules.

CONCLUSION

A number of variables predict symptom improvement following an Internet intervention, but each of these variables makes relatively small contributions. Machine learning ensembles may be a promising statistical approach for identifying the cumulative contribution of many weak predictors to psychosocial depression treatment response.

The Role of Dyadic Discord in Outcomes in Acute Phase Cognitive Therapy for Adults With Recurrent Major Depressive Disorder

Major depressive disorder (MDD) and relationship discord between cohabiting partners frequently co-occur, with bidirectional effects established. As relationship quality influences understanding and treatment of MDD, the current analyses clarified the relations of pretreatment dyadic discord with outcomes during and at the end of acute phase cognitive therapy (CT) for adults with recurrent MDD. Married or cohabiting patients (n = 219) completed the Dyadic Adjustment Scale (DYS) before and after a 16-20 session, 12-14 week CT protocol. Lower levels of dyadic adjustment indicated higher levels of dyadic discord. Response to CT was defined as the absence of a major depressive episode and ≤ 12 on the 17-item Hamilton Rating Scale for Depression. Pretreatment dyadic discord, whether defined as a continuous or categorical variable (using DYS cutoff score of 97), was not associated with treatment completion or response but was positively associated with levels of depressive symptoms at the end of acute phase CT. Furthermore, CT was associated with declines in dyadic discord, with 23.3% of initially discordant couples moving to nondiscordant status at the end of CT. Depressive symptoms did not significantly mediate changes in dyadic discord. Finally, pre- (but not mid-) treatment dyadic discord was associated with subsequent changes in depressive symptoms, suggesting limited mediation. These findings replicate prior research indicating that individual CT is associated with reductions in depressive symptoms and dyadic discord while clarifying that lower pre-treatment dyadic discord may predict initial improvement in depressive symptoms.

Do comorbid social and other anxiety disorders predict outcomes during and after cognitive therapy for depression?

BACKGROUND

Cognitive therapy (CT) improves symptoms in adults with major depressive disorder (MDD) plus comorbid anxiety disorder, but the specific type of anxiety may influence outcomes. This study compared CT outcomes among adults with MDD plus social, other, or no comorbid anxiety disorders.

METHODS

Outpatients with recurrent MDD (N = 523, including 87 with social and 110 with other comorbid anxiety disorders) received acute-phase CT. Higher risk responders (n = 241 with partial or unstable response) were randomized to 8 months of continuation treatment (CT or clinical management plus fluoxetine or pill placebo), followed by 24 months of assessment. Lower risk responders (n = 49) were assessed for 32 months without additional research treatment. Depression, anxiety symptoms, and social avoidance were measured repeatedly.

RESULTS

Other (non-social), but not social, anxiety disorders predicted elevated depression and anxiety symptoms throughout and after acute-phase CT. Social, but not other, anxiety disorder predicted greater reduction in depressive symptoms during acute-phase CT and elevated social avoidance during and after acute-phase CT.

LIMITATIONS

Anxiety disorders were assessed only before acute-phase treatment. The anxiety symptom measure was brief. Generalization to other patient populations and treatments is unknown.

CONCLUSIONS

Non-social comorbid anxiety disorders may reduce the efficacy of acute-phase CT for MDD by diminishing both short- and longer term outcomes relative to depressed patients without comorbid anxiety disorders. Comorbid social anxiety disorder may increase relative reductions in depressive symptoms during acute-phase CT for MDD, but patients with comorbid social anxiety disorder may require specialized focus on social avoidance during CT.

The influence of comorbid anxiety on the effectiveness of Cognitive Therapy and Interpersonal Psychotherapy for Major Depressive Disorder

BACKGROUND

Anxious depression is an important subtype of Major Depressive Disorder (MDD) defined by both syndromal (anxiety disorders) and dimensional (anxiety symptoms) criteria. A debated question is how anxiety affects MDD treatment. This study examined the impact of comorbid anxiety disorders and symptoms on the effectiveness of and dropout during Cognitive Therapy (CT) and Interpersonal Psychotherapy (IPT) for MDD.

METHODS

Depressed individuals were randomized to CT (n = 76) or IPT (n = 75). Outcome was depression severity measured with the Beck Depression Inventory-II (BDI-II) at the start of each therapy session, post treatment, and monthly up to five months follow-up. Anxiety disorders were assessed with the Structured Clinical Interview for DSM-IV Axis I disorders, (phobic) anxiety symptoms were assessed with Brief Symptom Inventory subscales.

RESULTS

Approximately one third of participants had a comorbid anxiety disorder. Comorbid anxiety disorders and anxiety symptoms were associated with less favorable depression change during IPT as compared to CT in the treatment phase, but not in the trial follow-up phase. Individuals with a comorbid anxiety disorder had significantly higher treatment dropout during both treatments.

LIMITATIONS

Not all therapists and participants were blind to the assessment of comorbid anxiety disorders and the assessments were performed by one rater.

CONCLUSIONS

A preference for CT over IPT for MDD is justifiable when comorbid anxiety is present, although long-term differences are not established and replication of this finding is needed. Clinicians should be aware of the risk of dropout for depressed individuals with an anxiety disorder.

Using patient self-reports to study heterogeneity of treatment effects in major depressive disorder

BACKGROUNDS

Clinicians need guidance to address the heterogeneity of treatment responses of patients with major depressive disorder (MDD). While prediction schemes based on symptom clustering and biomarkers have so far not yielded results of sufficient strength to inform clinical decision-making, prediction schemes based on big data predictive analytic models might be more practically useful.

METHOD

We review evidence suggesting that prediction equations based on symptoms and other easily-assessed clinical features found in previous research to predict MDD treatment outcomes might provide a foundation for developing predictive analytic clinical decision support models that could help clinicians select optimal (personalised) MDD treatments. These methods could also be useful in targeting patient subsamples for more expensive biomarker assessments.

RESULTS

Approximately two dozen baseline variables obtained from medical records or patient reports have been found repeatedly in MDD treatment trials to predict overall treatment outcomes (i.e., intervention v. control) or differential treatment outcomes (i.e., intervention A v. intervention B). Similar evidence has been found in observational studies of MDD persistence-severity. However, no treatment studies have yet attempted to develop treatment outcome equations using the full set of these predictors. Promising preliminary empirical results coupled with recent developments in statistical methodology suggest that models could be developed to provide useful clinical decision support in personalised treatment selection. These tools could also provide a strong foundation to increase statistical power in focused studies of biomarkers and MDD heterogeneity of treatment response in subsequent controlled trials.

CONCLUSIONS

Coordinated efforts are needed to develop a protocol for systematically collecting information about established predictors of heterogeneity of MDD treatment response in large observational treatment studies, applying and refining these models in subsequent pragmatic trials, carrying out pooled secondary analyses to extract the maximum amount of information from these coordinated studies, and using this information to focus future discovery efforts in the segment of the patient population in which continued uncertainty about treatment response exists.

Items of the Montgomery-Åsberg Depression Rating Scale Associated With Response to Paroxetine Treatment in Patients With Major Depressive Disorder

OBJECTIVES

In the present study, we investigated the association between the severity of each symptom evaluated by the Montgomery-Åsberg Depression Rating Scale (MADRS) at baseline and responsiveness to treatment in patients with major depressive disorder (MDD) to identify the items that predict treatment response.

METHODS

The patients received a diagnosis of MDD if they had a score greater than 20 points on the MADRS. Following admission, 120 patients were enrolled in the study, and 89 patients completed the study. For the first week, a 20-mg/d dose of paroxetine was administered; thereafter, the dose was increased to 40 mg/d. The MADRS was applied at baseline and after 1, 2, 4, and 6 weeks. We defined responders as patients with improvements in their MADRS scores of more than 50% after 6 weeks of treatment. A multiple regression analysis of MADRS scores at 6 weeks was performed to identify patients who responded to treatment.

RESULTS

There was a significant difference between responders and nonresponders in the reported sadness (RS) score for all MADRS items. In the multiple logistic regression analysis, only the RS and concentration difficulties (C) scores showed a significant association with treatment response. Based on the results of χ tests, RS score cutoff values of 2/3 and 3/4 revealed significant differences in the responder rate. None of the cutoff values for the C score revealed significant differences.

CONCLUSIONS

The RS score was significantly associated with responsiveness to paroxetine treatment for MDD, with higher RS scores predicting poor responses to treatment.

Predictors of Response to Web-Based Cognitive Behavioral Therapy With High-Intensity Face-to-Face Therapist Guidance for Depression: A Bayesian Analysis

Background

Several studies have demonstrated the effect of guided Internet-based cognitive behavioral therapy (ICBT) for depression. However, ICBT is not suitable for all depressed patients and there is a considerable level of nonresponse. Research on predictors and moderators of outcome in ICBT is inconclusive.

Objective

This paper explored predictors of response to an intervention combining the Web-based program MoodGYM and face-to-face therapist guidance in a sample of primary care patients with mild to moderate depressive symptoms.

Methods

Participants (N=106) aged between 18 and 65 years were recruited from primary care and randomly allocated to a treatment condition or to a delayed treatment condition. The intervention included the Norwegian version of the MoodGYM program, face-to-face guidance from a psychologist, and reminder emails. In this paper, data from the treatment phase of the 2 groups was merged to increase the sample size (n=82). Outcome was improvement in depressive symptoms during treatment as assessed with the Beck Depression Inventory-II (BDI-II). Predictors included demographic variables, severity variables (eg, number of depressive episodes and pretreatment depression and anxiety severity), cognitive variables (eg, dysfunctional thinking), module completion, and treatment expectancy and motivation. Using Bayesian analysis, predictors of response were explored with a latent-class approach and by analyzing whether predictors affected the slope of response.

Results

A 2-class model distinguished well between responders (74%, 61/82) and nonresponders (26%, 21/82). Our results indicate that having had more depressive episodes, being married or cohabiting, and scoring higher on a measure of life satisfaction had high odds for positively affecting the probability of response. Higher levels of dysfunctional thinking had high odds for a negative effect on the probability of responding. Prediction of the slope of response yielded largely similar results. Bayes factors indicated substantial evidence that being married or cohabiting predicted a more positive treatment response. The effects of life satisfaction and number of depressive episodes were more uncertain. There was substantial evidence that several variables were unrelated to treatment response, including gender, age, and pretreatment symptoms of depression and anxiety.

Conclusions

Treatment response to ICBT with face-to-face guidance may be comparable across varying levels of depressive severity and irrespective of the presence and severity of comorbid anxiety. Being married or cohabiting, reporting higher life satisfaction, and having had more depressive episodes may predict a more favorable response, whereas higher levels of dysfunctional thinking may be a predictor of poorer response. More studies exploring predictors and moderators of Internet-based treatments are needed to inform for whom this treatment is most effective.

Trial Registration

Australian New Zealand Clinical Trials Registry number: ACTRN12610000257066; https://www.anzctr.org.au/trial_view.aspx?id=335255 (Archived by WebCite at http://www.webcitation.org/6GR48iZH4).

Identifying moderators of the adherence-outcome relation in cognitive therapy for depression

OBJECTIVE

Little is known about the influence of patients' pretreatment characteristics on the adherence-outcome relation in cognitive therapy (CT) for depression. In a sample of 57 depressed adults participating in CT, the authors examined interactions between pretreatment patient characteristics and therapist adherence in predicting session-to-session symptom change.

METHOD

Using items from the Collaborative Study Psychotherapy Rating Scale, the authors assessed 3 facets of therapist adherence: cognitive methods, negotiating/structuring, and behavioral methods/homework. Two graduate students rated Sessions 1-4 for adherence. Symptoms were assessed prior to each session with the Beck Depression Inventory-II. Moderators were assessed as part of patients' intake evaluations.

RESULTS

After correcting for multiple comparisons, patient gender remained a significant moderator of the relationship between cognitive methods and next-session symptom change; cognitive methods more strongly predicted greater symptom improvement for women as compared to men. Pretreatment anxiety and number of prior depressive episodes were significant moderators of the relationship between behavioral methods/homework and next-session symptom change, with greater behavioral methods/homework predicting symptom improvement more strongly among patients high in pretreatment anxiety and among patients with relatively few prior depressive episodes.

CONCLUSIONS

This is the first study to provide evidence of how therapist adherence is differentially related to outcome among depressed patients with different characteristics. If replicated, these findings may inform clinical decisions regarding the use of specific facets of adherence in CT for depression with specific patients.

Baseline working memory activation deficits in dimensional anxious depression as detected by magnetoencephalography

OBJECTIVE

Anxiety often co-occurs with major depressive disorder (MDD). This preliminary study sought to ascertain the extent to which anxious depression drives group neurobiological differences between patients with MDD and healthy volunteers (HVs).

METHODS

Magnetoencephalography beta-band frequency was used to compare differences in brain response during the N-back working memory task between 30 medication-free patients with treatment-resistant MDD (anxious depression=18; nonanxious depression=12) and 28 HVs.

RESULTS

Compared to HVs, patients with anxious depression had significantly reduced desynchronisation (less activation) in the left precuneus, right cuneus, and left insula extending into the inferior and middle frontal cortex during the 2-back condition compared with the 1-back condition of the N-back working memory task--indicating less activation of these neural networks in patients with anxious depression during the condition with the highest level of task demands. No other significant group differences were found during the working memory conditions.

CONCLUSION

This preliminary study suggests that a subset of patients--those with anxious depression--may be driving observed group differences between patients with MDD and HVs. Further neurobiological studies and replication experiments are necessary to determine the extent to which this subgroup has preferentially influenced our understanding of the underlying neurobiology of depression.

Treating co-occurring depression and anxiety: modeling the dynamics of psychopathology and psychotherapy using the time-varying effect model

OBJECTIVE

We demonstrate the utility of the time-varying effect model (TVEM) for the analysis of psychotherapy data, with the aim of elucidating complex patterns of change over time and dynamic associations between constructs of interest. Specifically, we examine the association between depression and co-occurring anxiety in a sample of adults treated with interpersonal psychotherapy (IPT) for depression or a variant designed to address both depression and co-occurring anxiety (IPT-PS, IPT for depression with panic and anxiety symptoms).

METHOD

Seventy-eight (82% female) adult outpatients with major depression and co-occurring anxiety were assessed at each of 16 outpatient treatment sessions using the Hamilton rating scales for depression and anxiety.

RESULTS

On average, depressive symptoms declined in a quadratic form over the course of treatment. While the association between anxiety and depression was modest early in treatment, it strengthened over the middle and latter treatment phases. Finally, exploratory analyses suggest that while IPT and IPT-PS were similarly effective in reducing depressive symptoms, IPT-PS may be more effective at uncoupling the association between core anxiety and depressive symptoms.

CONCLUSIONS

Findings point to the utility of the TVEM for psychotherapy research and the importance of assessing anxiety in the course of treating depression, especially following the initial phase of treatment (i.e., after Session 5).

Cognitive-behavioral therapy for hypochondriasis/health anxiety: a meta-analysis of treatment outcome and moderators

The present investigation employed meta-analysis to examine the efficacy of cognitive-behavioral therapy (CBT) for hypochondriasis/health anxiety as well as potential moderators that may be associated with outcome. A literature search revealed 15 comparisons among 13 randomized-controlled trials (RCTs) with a total sample size of 1081 participants that met inclusion criteria. Results indicated that CBT outperformed control conditions on primary outcome measures at post-treatment (Hedges's g = 0.95) and at follow-up (Hedges's g = 0.34). CBT also outperformed control conditions on measures of depression at post-treatment (Hedges's g = 0.64) and at follow-up (Hedges's g = 0.35). Moderator analyses revealed that higher pre-treatment severity of hypochondriasis/health anxiety was associated with greater effect sizes at follow-up visits and depression symptom severity was significantly associated with a lower in effect sizes at post-treatment. Although effect size did not vary as a function of blind assessment, smaller effect sizes were observed for CBT vs. treatment as usual control conditions than for CBT vs. waitlist control. A dose response relationship was also observed, such that a greater number of CBT sessions was associated with larger effect sizes at post-treatment. This review indicates that CBT is efficacious in the treatment of hypochondriasis/health anxiety and identifies potential moderators that are associated with outcome. The implications of these findings for further delineating prognostic and prescriptive indicators of CBT for hypochondriasis/health anxiety are discussed.

Emotion regulation skills training enhances the efficacy of inpatient cognitive behavioral therapy for major depressive disorder: a randomized controlled trial

BACKGROUND

Deficits in emotion regulation skills are possible factors maintaining major depressive disorder (MDD). Therefore, the aim of the study was to test whether integrating a systematic emotion regulation training (ERT) enhances the efficacy of routine inpatient cognitive behavioral therapy (CBT) for MDD.

METHODS

In a prospective randomized controlled trial, 432 inpatients meeting criteria for MDD were assigned to receive either routine CBT or CBT enriched with an intense emotion regulation skills training (CBT-ERT).

RESULTS

Participants in the CBT-ERT condition demonstrated a significantly greater reduction in depression (response rates - CBT: 75.5%, CBT-ERT: 84.9%; remission rates - CBT: 51.1%, CBT-ERT: 65.1%). Moreover, CBT-ERT participants demonstrated a significantly greater reduction of negative affect, as well as a greater increase of well-being and emotion regulation skills particularly relevant for mental health.

CONCLUSIONS

Integrating strategies that target emotion regulation skills improves the efficacy of CBT for MDD.

Role of stress, depression, and aging in cognitive decline and Alzheimer's disease

Late-onset Alzheimer's disease (AD) is a chronic neurodegenerative disorder and the most common cause of progressive cognitive dysfunction and dementia. Despite considerable progress in elucidating the molecular pathology of this disease, we are not yet close to unraveling its etiopathogenesis. A battery of neurotoxic modifiers may underpin neurocognitive pathology via deleterious heterogeneous pathologic impact in brain regions, including the hippocampus. Three important neurotoxic factors being addressed here include aging, stress, and depression. Unraveling "upstream pathologies" due to these disparate neurotoxic entities, vis-à-vis cognitive impairment involving hippocampal dysfunction, is of paramount importance. Persistent systemic inflammation triggers and sustains neuroinflammation. The latter targets several brain regions including the hippocampus causing upregulation of amyloid beta and neurofibrillary tangles, synaptic and neuronal degeneration, gray matter volume atrophy, and progressive cognitive decline. However, what is the fundamental source of this peripheral inflammation in aging, stress, and depression? This chapter highlights and delineates the inflammatory involvement-i.e., from its inception from gut to systemic inflammation to neuroinflammation. It highlights an upregulated cascade in which gut-microbiota-related dysbiosis generates lipopolysaccharides (LPS), which enhances inflammation and gut's leakiness, and through a Web of interactions, it induces stress and depression. This may increase neuronal dysfunction and apoptosis, promote learning and memory impairment, and enhance vulnerability to cognitive decline.

Preventing depressive relapse and recurrence in higher-risk cognitive therapy responders: a randomized trial of continuation phase cognitive therapy, fluoxetine, or matched pill placebo

IMPORTANCE

Strategies to improve the course of recurrent major depressive disorder have great public health relevance. To reduce the risk of relapse/recurrence after acute phase cognitive therapy (CT), a continuation phase model of therapy may improve outcomes.

OBJECTIVES

To test the efficacy of continuation phase CT (C-CT) and fluoxetine for relapse prevention in a pill placebo (PBO)-controlled randomized trial and compare the durability of prophylaxis after discontinuation of treatments.

DESIGN

A sequential, 3-stage design with an acute phase (all patients received 12 weeks of CT); 8-month experimental phase (responders at higher risk were randomized to C-CT, fluoxetine, or PBO); and 24 months of longitudinal, posttreatment follow-up.

SETTING

Two university-based specialty clinics.

PATIENTS

A total of 523 adults with recurrent major depressive disorder began acute phase CT, of which 241 higher-risk responders were randomized and 181 subsequently entered the follow-up.

INTERVENTIONS

Cognitive therapy responders at higher risk for relapse were randomized to receive 8 months of C-CT (n = 86), fluoxetine (n = 86), or PBO (n = 69).

MAIN OUTCOMES AND MEASURES

Survival analyses of relapse/recurrence rates, as determined by blinded evaluators using DSM-IV criteria and the Longitudinal Interval Follow-up Evaluation. RESULTS As predicted, the C-CT or fluoxetine groups were significantly less likely to relapse than the PBO group across 8 months. Relapse/recurrence rates for C-CT and fluoxetine were nearly identical during the 8 months of treatment, although C-CT patients were more likely to accept randomization, stayed in treatment longer, and attended more sessions than those in the fluoxetine and PBO groups. Contrary to prediction, relapse/recurrence rates following the discontinuation of C-CT and fluoxetine did not differ.

CONCLUSIONS AND RELEVANCE

Relapse risk was reduced by both C-CT and fluoxetine in an enriched randomization sampling only CT responders. The preventive effects of C-CT were not significantly more durable than those of fluoxetine after treatment was stopped, suggesting that some higher-risk patients may require alternate longer-term interventions.

TRIAL REGISTRATION

clinicaltrials.gov Identifiers: NCT00118404, NCT00183664, and NCT00218764.

D-cycloserine augmentation of cognitive behavioral group therapy of social anxiety disorder: prognostic and prescriptive variables

OBJECTIVE

The aim of the current study was to identify individual characteristics that (a) predict symptom improvement with group cognitive behavioral therapy (CBT) for social anxiety disorder (SAD; i.e., prognostic variables) or (b) moderate the effects of d-cycloserine (DCS) versus placebo augmentation of CBT for SAD (i.e., prescriptive variables).

METHOD

Adults with SAD (N = 169) provided Liebowitz Social Anxiety Scale scores in a trial evaluating DCS augmentation of group CBT. Rate of symptom improvement during therapy and posttreatment symptom severity were evaluated using multilevel modeling. As predictors of these 2 parameters, we selected the range of variables assessed at baseline (demographic characteristics, clinical characteristics, personality traits). Using step-wise analyses, we first identified prognostic and prescriptive variables within each of these domains and then entered these significant predictors simultaneously in 1 final model.

RESULTS

African American ethnicity and cohabitation status were associated with greater overall rates of improvement during therapy and lower posttreatment severity. Higher initial severity was associated with a greater improvement during therapy but also higher posttreatment severity (the greater improvement was not enough to overcome the initial higher severity). DCS augmentation was evident only among individuals low in conscientiousness and high in agreeableness.

CONCLUSIONS

African American ethnicity, cohabitation status, and initial severity are prognostic of favorable CBT outcomes in SAD. DCS augmentation appears particularly useful for patients low in conscientiousness and high in agreeableness. These findings can guide clinicians in making decisions about treatment strategies and can help direct research on the mechanisms of these treatments.

What is the best sequential treatment strategy in the treatment of depression? Adding pharmacotherapy to psychotherapy or vice versa?

BACKGROUND

Insufficient response to monotreatment for depression is a common phenomenon in clinical practice. Even so, evidence indicating how to proceed in such cases is sparse.

METHODS

This study looks at the second phase of a sequential treatment algorithm, in which 103 outpatients with moderately severe depression were initially randomized to either short-term supportive psychodynamic therapy (PDT) or antidepressants. Patients who reported less than 30% symptom improvement after 8 weeks were offered combined treatment. Outcome measures were the Hamilton Depression Rating Scale (HAM-D), the Clinical Global Impression of Severity and Improvement, the SCL-90 depression subscale and the EuroQOL questionnaire.

RESULTS

Despite being nonresponsive, about 40% of patients preferred to continue with monotherapy. At treatment termination, patients initially randomized to PDT had improved more than those initially receiving antidepressants, as indicated by the HAM-D and the EuroQOL, independently of whether the addition was accepted or not.

CONCLUSIONS

Starting with psychotherapy may be preferable in mildly and moderately depressed outpatients. For patients who receive either PDT or antidepressants, combined therapy after early nonresponse seems to be helpful. Nevertheless, this sequential strategy is not always preferred by patients.