Placebo-controlled continuation treatment with mirtazapine: acute pattern of response predicts relapse

Low predictive power of clinical features for relapse prediction after antidepressant discontinuation in a naturalistic setting

The risk of relapse after antidepressant medication (ADM) discontinuation is high. Predictors of relapse could guide clinical decision-making, but are yet to be established. We assessed demographic and clinical variables in a longitudinal observational study before antidepressant discontinuation. State-dependent variables were re-assessed either after discontinuation or before discontinuation after a waiting period. Relapse was assessed during 6 months after discontinuation. We applied logistic general linear models in combination with least absolute shrinkage and selection operator and elastic nets to avoid overfitting in order to identify predictors of relapse and estimated their generalisability using cross-validation. The final sample included 104 patients (age: 34.86 (11.1), 77% female) and 57 healthy controls (age: 34.12 (10.6), 70% female). 36% of the patients experienced a relapse. Treatment by a general practitioner increased the risk of relapse. Although within-sample statistical analyses suggested reasonable sensitivity and specificity, out-of-sample prediction of relapse was at chance level. Residual symptoms increased with discontinuation, but did not relate to relapse. Demographic and standard clinical variables appear to carry little predictive power and therefore are of limited use for patients and clinicians in guiding clinical decision-making.

Predictors of relapse following a stepwise psychopharmacotherapy regime in patients with depressive disorders

BACKGROUND

Real world predictors of relapse following routine treatment for depression remain under-researched. We sought to investigate this in an outpatient clinical sample with depressive disorders receiving stepwise pharmacotherapy based on early clinical decision-making, applying a naturalistic 24-month prospective design.

METHODS

Patients were recruited at a University hospital in South Korea from March 2012 to April 2017. After 3-week antidepressant monotherapy (N = 1262), next treatment steps (1, 2, 3, and 4 or over) with alternative strategies (switching, augmentation, combination, and mixtures of these approaches) were administered based on measurements and patient preference at 3-week points in the acute treatment phase (3, 6, 9, and 12 weeks) (N = 1246). For those who responded [Hamilton Depression Rating Scale (HAMD) score of≤14] (N = 937), relapse (HAMD>14) was identified every 3 months from 6 to 24 months (N = 816). Predictors of relapse were evaluated using multi-variate Cox proportional hazards models.

RESULTS

Four independent relapse predictors were identified: higher number of previous depressive episodes, higher anxiety at baseline, higher number of treatment steps, and poor medication adherence. In particular, treatment Step 4 was significantly associated with relapse compared to treatment Step 1, 2, and 3 after adjustment for relevant covariates.

LIMITATION

Withdrawal syndromes after discontinuing psychotropic drugs, known to confound the determination of relapse, were not evaluated. The study was conducted at a single site, which maximised consistency but may limit generalizability.

CONCLUSIONS

Predictors of relapse reported from more restricted trial or cohort samples were replicated in this long-term naturalistic prospective design.

Methods for assessing and controlling placebo effects

The placebo serves as an indispensable control in many randomized trials. When analyzing the benefit of a new treatment, researchers are often confronted with large placebo effects that diminish the treatment effect. Various alternative methods have been proposed for analyzing placebo and treatment effects in studies where large placebo effects are expected or have already occurred. This paper presents an overview of methodological work that has been proposed for assessing and/or controlling for placebo effects in randomized trials. Throughout this paper, two main approaches are discussed. The first approach considers designs that represent alternatives to the classical placebo-controlled randomized trial design. Separately, the second approach considers adopting new methods for the statistical analysis of placebo and treatment effects to be implemented after the data have been collected using a classical randomized trial design.

Early symptomatic improvement affects treatment outcome in a study of major depressive disorder

Early symptomatic improvement immediately following randomization can affect signal detection in clinical trials. The impact of early improvement of the Montgomery-Asberg depression rating scale (MADRS) on eventual treatment outcome was examined in a 6-week, double-blind, placebo-controlled trial of a putative antidepressant (CX157) versus placebo in depressed subjects with major depressive disorder (MDD) who had had an inadequate response to ongoing antidepressant treatment (NCT00739908). MADRS score changes within one week after randomization directly affected treatment outcome at the study endpoint (week 6). The response and remission rates at week 6 increased significantly as the percent of MADRS score improvement increased between baseline and week 1 regardless of treatment assignment. Less MADRS improvement or actual worsening within the first week after randomization was associated with minimal overall MADRS score changes by week 6 in either treatment assignment. Alternatively, CX157 assigned subjects who had ≥30% improvement by week 1 achieved a significantly greater treatment response rate than the matched placebo group at the study endpoint (p = 0.025) that converted the lack of signal detection in the mITT population. This post-hoc analysis highlights the potent effect that early symptomatic improvement immediately following randomization can have on treatment outcome, and is particularly relevant for antidepressant drugs with rapid onset of action. The findings compel further exploration of possible moderating and mediating factors, including the experimental condition itself that can influence early response, and the need to identify "bio-types" within the population of MDD subjects.

Early response in cognitive-behavior therapy for syndromes of medically unexplained symptoms

BACKGROUND

Early dramatic treatment response suggests a subset of patients who respond to treatment before most of it has been offered. These early responders tend to be over represented among those who are well at termination and at follow-up. Early response patterns in psychotherapy have been investigated only for a few of mental disorders so far. The main aim of the current study was to examine early response after five therapy-preparing sessions of a cognitive behavior therapy (CBT) for syndromes of medically unexplained symptoms (MUS).

METHODS

In the context of a randomized, waiting-list controlled trial 48 patients who suffered from ≥3 MUS over ≥6 months received 5 therapy-preparing sessions and 20 sessions of CBT for somatoform disorders. They completed self-report scales of somatic symptom severity (SOMS-7 T), depression (BDI-II), anxiety (BSI), illness anxiety and behavior (IAS) at pre-treatment, after 5 therapy-preparing sessions (FU-5P) and at therapy termination (FU-20 T).

RESULTS

The current analyses are based on data from the treatment arm only. Repeated measure ANOVAs revealed a significant decrease of depression (d = 0.34), anxiety (d = 0.60), illness anxiety (d = 0.38) and illness behavior (d = 0.42), but no change of somatic symptom severity (d = -0.03) between pre-treatment and FU-5P. Hierarchical linear multiple regression analyses showed that symptom improvements between pre-treatment and FU-5P predict a better outcome at therapy termination for depression and illness anxiety, after controlling for pre-treatment scores. Mixed-effect ANOVAs revealed significant group*time interaction effects indicating differences in the course of symptom improvement over the therapy between patients who fulfilled a reliable change (i.e., early response) during the 5 therapy-preparing sessions and patients who did not reach an early reliable change. Demographic or clinical variables at pre-treatment were not significantly correlated with differential scores between pre-treatment and FU-5P (-.23 ≤ r ≤ .23).

CONCLUSIONS

Due to several limitations (e.g., small sample size, lack of a control group) the results of this study have to be interpreted cautiously. Our findings show that reliable changes in regard to affective-cognitive and behavioral variables can take place very early in CBT of patients with distressing MUS. These early changes seem to be predictive of the outcome at therapy termination. Future studies are needed in order to replicate our results, and to identify mechanisms of these early response patterns in somatoform patients.

TRIAL REGISTRATION

ISRCTN. ISRCTN17188363 . Registered retrospectively on 29 March 2007.

Computational Tracking of Mental Health in Youth: Latin American Contributions to a Low-Cost and Effective Solution for Early Psychiatric Diagnosis

The early onset of mental disorders can lead to serious cognitive damage, and timely interventions are needed in order to prevent them. In patients of low socioeconomic status, as is common in Latin America, it can be hard to identify children at risk. Here, we briefly introduce the problem by reviewing the scarce epidemiological data from Latin America regarding the onset of mental disorders, and discussing the difficulties associated with early diagnosis. Then we present computational psychiatry, a new field to which we and other Latin American researchers have contributed methods particularly relevant for the quantitative investigation of psychopathologies manifested during childhood. We focus on new technologies that help to identify mental disease and provide prodromal evaluation, so as to promote early differential diagnosis and intervention. To conclude, we discuss the application of these methods to clinical and educational practice. A comprehensive and quantitative characterization of verbal behavior in children, from hospitals and laboratories to homes and schools, may lead to more effective pedagogical and medical intervention.

Predicting relapse after antidepressant withdrawal - a systematic review

A substantial proportion of the burden of depression arises from its recurrent nature. The risk of relapse after antidepressant medication (ADM) discontinuation is high but not uniform. Predictors of individual relapse risk after antidepressant discontinuation could help to guide treatment and mitigate the long-term course of depression. We conducted a systematic literature search in PubMed to identify relapse predictors using the search terms '(depress* OR MDD*) AND (relapse* OR recurren*) AND (predict* OR risk) AND (discontinu* OR withdraw* OR maintenance OR maintain or continu*) AND (antidepress* OR medication OR drug)' for published studies until November 2014. Studies investigating predictors of relapse in patients aged between 18 and 65 years with a main diagnosis of major depressive disorder (MDD), who remitted from a depressive episode while treated with ADM and were followed up for at least 6 months to assess relapse after part of the sample discontinued their ADM, were included in the review. Although relevant information is present in many studies, only 13 studies based on nine separate samples investigated predictors for relapse after ADM discontinuation. There are multiple promising predictors, including markers of true treatment response and the number of prior episodes. However, the existing evidence is weak and there are no established, validated markers of individual relapse risk after antidepressant cessation. There is little evidence to guide discontinuation decisions in an individualized manner beyond overall recurrence risk. Thus, there is a pressing need to investigate neurobiological markers of individual relapse risk, focusing on treatment discontinuation.

Defined symptom-change trajectories during acute-phase cognitive therapy for depression predict better longitudinal outcomes

BACKGROUND

Acute-phase cognitive therapy (CT) is an efficacious treatment for major depressive disorder (MDD), but responders experience varying post-acute outcomes (e.g., relapse vs. recovery). Responders' symptom-change trajectories during response to acute-phase CT may predict longer term outcomes.

METHOD

We studied adult outpatients (N = 220) with recurrent MDD who responded to CT but had residual symptoms. Responders with linear (steady improvement), log-linear (quicker improvement earlier and slower later), one-step (a single, relatively large, stable improvement between adjacent assessments), or undefined (not linear, log-linear, or one-step) symptom trajectories were assessed every 4 months for 32 additional months.

RESULTS

Defined (linear, log-linear, one-step) versus undefined acute-phase trajectories predicted lower depressive symptoms (d = 0.36), lower weekly probability of being in a major depressive episode (OR = 0.46), higher weekly probabilities of remission (OR = 1.93) and recovery (OR = 2.35), less hopelessness (d = 0.41), fewer dysfunctional attitudes (d = 0.31), and better social adjustment (d = 0.32) for 32 months after acute-phase CT. Differences among defined trajectory groups were nonsignificant.

CONCLUSIONS

Responding to acute-phase CT with a defined trajectory (orderly pattern) of symptom reduction predicts better longer term outcomes, but which defined trajectory (linear, log-linear, or one-step) appears unimportant. Frequent measurement of depressive symptoms to identify un/defined CT response trajectories may clarify need for continued clinical monitoring and treatment.

Evidence-based guidelines for treating depressive disorders with antidepressants: A revision of the 2008 British Association for Psychopharmacology guidelines

A revision of the 2008 British Association for Psychopharmacology evidence-based guidelines for treating depressive disorders with antidepressants was undertaken in order to incorporate new evidence and to update the recommendations where appropriate. A consensus meeting involving experts in depressive disorders and their management was held in September 2012. Key areas in treating depression were reviewed and the strength of evidence and clinical implications were considered. The guidelines were then revised after extensive feedback from participants and interested parties. A literature review is provided which identifies the quality of evidence upon which the recommendations are made. These guidelines cover the nature and detection of depressive disorders, acute treatment with antidepressant drugs, choice of drug versus alternative treatment, practical issues in prescribing and management, next-step treatment, relapse prevention, treatment of relapse and stopping treatment. Significant changes since the last guidelines were published in 2008 include the availability of new antidepressant treatment options, improved evidence supporting certain augmentation strategies (drug and non-drug), management of potential long-term side effects, updated guidance for prescribing in elderly and adolescent populations and updated guidance for optimal prescribing. Suggestions for future research priorities are also made.

[Integral Care Guide for Early Detection and Diagnosis of Depressive Episodes and Recurrent Depressive Disorder in Adults. Integral Attention of Adults with a Diagnosis of Depressive Episodes and Recurrent Depressive Disorder: Part II: General Aspects of Treatment, Management of the Acute Phase, Continuation and Maintenance of Patients with a Depression Diagnosis]

INTRODUCTION

This article presents recommendations based on evidence gathered to answer a series of clinical questions concerning the depressive episode and the recurrent depressive disorder, with emphasis on general treatment aspects, treatment in the acute phase and management of the continuation/maintenance, all intended to grant health care parameters based on the best and more updated available evidence for achieving minimum quality standards with adult patients thus diagnosed.

METHODOLOGY

A practical clinical guide was elaborated according to standards of the Methodological Guide of the Ministry of Social Protection. Recommendation from NICE90 and CANMAT guides were adopted and updated so as to answer the questions posed while de novo questions were developed.

RESULTS

Recommendations 5-22 corresponding to management of depression are presented.

A randomised controlled feasibility trial for an educational school-based mental health intervention: study protocol

BACKGROUND

With the burden of mental illness estimated to be costing the English economy alone around £22.5 billion a year 1, coupled with growing evidence that many mental disorders have their origins in adolescence, there is increasing pressure for schools to address the emotional well-being of their students, alongside the stigma and discrimination of mental illness. A number of prior educational interventions have been developed and evaluated for this purpose, but inconsistency of findings, reporting standards, and methodologies have led the majority of reviewers to conclude that the evidence for the efficacy of these programmes remains inconclusive.

METHODS/DESIGN

A cluster randomised controlled trial design has been employed to enable a feasibility study of 'SchoolSpace', an intervention in 7 UK secondary schools addressing stigma of mental illness, mental health literacy, and promotion of mental health. A central aspect of the intervention involves students in the experimental condition interacting with a young person with lived experience of mental illness, a stigma reducing technique designed to facilitate students' engagement in the project. The primary outcome is the level of stigma related to mental illness. Secondary outcomes include mental health literacy, resilience to mental illness, and emotional well-being. Outcomes will be measured pre and post intervention, as well as at 6 month follow-up.

DISCUSSION

The proposed intervention presents the potential for increased engagement due to its combination of education and contact with a young person with lived experience of mental illness. Contact as a technique to reduce discrimination has been evaluated previously in research with adults, but has been employed in only a minority of research trials investigating the impact on youth. Prior to this study, the effect of contact on mental health literacy, resilience, and emotional well-being has not been evaluated to the authors' knowledge. If efficacious the intervention could provide a reliable and cost-effective method to reduce stigma in young people, whilst increasing mental health literacy, and emotional well-being.

TRIAL REGISTRATION

ISRCTN: ISRCTN07406026.

Further structure-activity relationship studies on 4-((((3S,6S)-6-benzhydryltetrahydro-2H-pyran-3-yl)amino)methyl)phenol: identification of compounds with triple uptake inhibitory activity as potential antidepressant agents

To investigate structural alterations of the lead triple uptake inhibitor molecule, disubstituted 4-((((3S,6S)-6-benzhydryltetrahydro-2H-pyran-3-yl)amino)methyl)phenol, we have carried out structure-activity relationship (SAR) studies to investigate the effect of alteration of aromatic substitutions and introduction of heterocyclic aromatic moieties on this molecular template. The novel compounds were tested for their affinities for the dopamine transporter (DAT), serotonin transporter (SERT), and norepinephrine transporter (NET) in the brain by measuring their potency in inhibiting the uptake of [(3)H]DA, [(3)H]5-HT, and [(3)H]NE, respectively. SAR results indicate dopamine norepinephrine reuptake inhibitory (DNRI) type activity in thiophene (10g) and pyrrole (10i) derivatives. On the other hand, 3-hydroxyphenyl derivative 10f and 4-methoxyphenyl derivative 10j exhibited a triple reuptake inhibitory (TUI) activity profile, as these molecules exhibited potent uptake inhibition for all the monoamine transporters (K(i) of 31.3, 40, 38.5 and K(i) of 15.9, 12.9, 29.3 for DAT, SERT, and NET for 10f and 10g, respectively). Compound 10f was further evaluated in the rat forced swim test to evaluate its potential antidepressant effect. The results show significant reduction of immobility by TUI 10f at 10 mg/kg dose, indicating potential antidepressant activity.

A new paradigm for the prediction of antidepressant treatment response

Current treatment of Major Depressive Disorder utilizes a trial-and-error sequential treatment strategy that results in delays in achieving response and remission for a majority of patients. Protracted ineffective treatment prolongs patient suffering and increases health care costs. In addition, long and unsuccessful antidepressant trials may diminish patient expectations, reinforce negative cognitions, and condition patients not to respond during subsequent antidepressant trials, thus contributing to further treatment resistance. For these reasons, it is critical to identify reliable predictors of antidepressant treatment response that can be used to shorten or eliminate lengthy and ineffective trials. Research on possible endophenotypic as well as genomic predictors has not yet yielded reliable predictors. The most reliable predictors identified thus far are symptomatic and physiologic characteristics of patients that emerge early in the course of treatment. We propose here the term “response endophenotypes” (REs) to describe this class of predictors, defined as latent measurable symptomatic or neurobiologie responses of individual patients that emerge early in the course of treatment, and which carry strong predictive power for individual patient outcomes. Use of REs constitutes a new paradigm in which medication treatment trials that are likely to be ineffective could be stopped within 1 to 2 weeks and other medication more likely to be effective could be started. Data presented here suggest that early changes in symptoms, quantitative electroencephalography, and gene expression could be used to construct effective REs. We posit that this new paradigm could lead to earlier recovery from depressive illness and ultimately produce profound health and economic benefits.

High-dose glycine treatment of refractory obsessive-compulsive disorder and body dysmorphic disorder in a 5-year period

This paper describes an individual who was diagnosed with obsessive-compulsive disorder (OCD) and body dysmorphic disorder (BDD) at age 17 when education was discontinued. By age 19, he was housebound without social contacts except for parents. Adequate trials of three selective serotonin reuptake inhibitors, two with atypical neuroleptics, were ineffective. Major exacerbations following ear infections involving Group A β-hemolytic streptococcus at ages 19 and 20 led to intravenous immune globulin therapy, which was also ineffective. At age 22, another severe exacerbation followed antibiotic treatment for H. pylori. This led to a hypothesis that postulates deficient signal transduction by the N-methyl-D-aspartate receptor (NMDAR). Treatment with glycine, an NMDAR coagonist, over 5 years led to robust reduction of OCD/BDD signs and symptoms except for partial relapses during treatment cessation. Education and social life were resumed and evidence suggests improved cognition. Our findings motivate further study of glycine treatment of OCD and BDD.

Clinical studies on the efficacy of agomelatine on depressive symptoms

The novel mechanism of action of agomelatine, with affinity for melatonergic and 5-HT(2C) receptors, offers the prospect of efficacy in major depression and anxiety with minimal adverse effects. The challenge of performing acute placebo-controlled treatment trials in a relevant sample of patients with moderate to severe major depression is considerable. The efficacy of active treatment may be obscured by excessive responses in placebo and active treatment arms. The agomelatine programme has successfully introduced methodological innovation to overcome this risk and ensure that cases of major depression display adequate severity on both ratings of symptoms and measures of functional impairment. The efficacy of agomelatine in major depression has thus been demonstrated at doses of 25-50 mg against the full range of symptoms that make up the depressive syndrome in patients with moderate to severe major depression.

Genetic variants in FKBP5 affecting response to antidepressant drug treatment

INTRODUCTION

Hyperactivity of the hypothalamic-pituitary-adrenal (HPA) axis is a pathogenic mechanism of depression, and genetic polymorphisms in HPA axis genes have been described to influence response to antidepressant drugs. In particular, two polymorphisms in FKBP5, a co-chaperone of the glucocorticoid receptor, were strongly associated with response to therapy. We aimed to analyze whether these findings could be reproduced in a different sample of otherwise comparable inpatients with major depression.

METHODS

Genotyping for the two variants within the FKBP5 gene was performed using PCR-restriction fragment length polymorphism and Taqman real-time PCR in a cohort of 179 inpatients who were monitored for the first 3 weeks of antidepressant drug treatment. The early response to antidepressant drugs was assessed as percentage of decline in Hamilton depression score after 3 weeks, responders versus nonresponders were distinguished by a 50% decrease.

RESULTS

The FKBP5 variants rs3800373 and rs1360780 were highly linked, and carriers of the FKBP5 variants had a trend towards a higher chance to respond (p = 0.04; odds ratio: 1.8; 95% CI: 0.98-3.3). When analyzing drug-specific subgroups, the effect was seen mainly in the subgroups of patients treated with antidepressant drug combinations or with venlafaxine.

CONCLUSION

In this study, an effect of FKBP5 variants on antidepressant drug response was confirmed in an independent cohort of depressed patients; however, with an odds ratio of 1.8 the effect size was smaller than that described earlier.

Common genetic variations in human brain-specific tryptophan hydroxylase-2 and response to antidepressant treatment

OBJECTIVE

Genetic variability within the serotoninergic system may predict the response to antidepressant drugs. Several polymorphisms in the gene coding for the brain-specific tryptophan hydroxylase (TPH2) have been associated with susceptibility to psychiatric diseases. In this study, we analyzed the correlation between TPH2 polymorphisms and response to antidepressant drugs.

METHODS

The study included 182 patients who received drug treatment for major depression. To assess the variability in the TPH2 gene, four single nucleotide polymorphisms (SNPs) tagging the common TPH2 haplotypes and six SNPs medically relevant according to data from other studies were analyzed in a multiplex single base primer extension reaction.

RESULTS

Two SNPs, rs10897346 and rs1487278, were significantly associated with response to therapy (P=0.003 and 0.007). The rs10897346 variant showed the highest predictive values with carriers of null C alleles showing a 2.6-fold increased risk (95% confidence interval 1.4-4.8) for nonresponse compared with the others. The effect was found in all major types of antidepressant medications administered in this study and was statistically significant in the subgroup on selective serotonin reuptake inhibitors. Multiple logistic regression analyses confirmed the rs10879346 polymorphism as an independent predictor of the antidepressant response (odds ratio: 3.86; 1.75-8.55, P=0.0008). The therapeutically relevant variant rs10897346 is completely linked with the functional Pro312Pro polymorphism, which is known to affect TPH2 expression and may influence serotonin synthesis in the brain.

CONCLUSION

The polymorphisms rs10897346 and Pro312Pro in the TPH2 gene might play an important role for TPH2 expression and antidepressant drug response.

Evidence-based guidelines for treating depressive disorders with antidepressants: a revision of the 2000 British Association for Psychopharmacology guidelines

A revision of the 2000 British Association for Psychopharmacology evidence-based guidelines for treating depressive disorders with antidepressants was undertaken to incorporate new evidence and to update the recommendations where appropriate. A consensus meeting involving experts in depressive disorders and their management was held in May 2006. Key areas in treating depression were reviewed, and the strength of evidence and clinical implications were considered. The guidelines were drawn up after extensive feedback from participants and interested parties. A literature review is provided, which identifies the quality of evidence to inform the recommendations, the strength of which are based on the level of evidence. These guidelines cover the nature and detection of depressive disorders, acute treatment with antidepressant drugs, choice of drug versus alternative treatment, practical issues in prescribing and management, next-step treatment, relapse prevention, treatment of relapse, and stopping treatment.

D-161, a novel pyran-based triple monoamine transporter blocker: behavioral pharmacological evidence for antidepressant-like action

Deficiency in dopaminergic activity has been linked to a depressed state in pharmacological and clinical studies. Current pharmacological treatment for depression primarily involves modulation of serotonergic and noradrenergic systems but not dopaminergic neurotransmission. Available pharmacotherapy for depression has a number of drawbacks as a significant number of people are either refractory or develop tolerance to the antidepressant agents resulting in relapse. Furthermore, the slow onset of action of current therapies often poses a challenge for effective treatment. In our effort to develop novel molecules impacting all three above mentioned monoamine systems, we discovered structurally unique pyran derivatives with various profiles in inhibiting monoamine transporters. One of our lead molecules, D-161 exhibited triple monoamine transporter inhibitory activity with the highest affinity for norepinephrine transporter (NET) followed by its affinity for serotonin transporter (SERT) and dopamine transporter (DAT). D-161 exhibited potent activity in reducing immobility significantly in the rat forced swim test as well as in the mouse tail suspension test. Moreover, results from locomotor activity tests indicated that the reduction of immobility by D-161 was not due to motor activation as no significant motor activation was observed when the rats were subjected to the same doses of drug under the same conditions as in the forced swim test. These results suggest that the novel asymmetric pyran derivative D-161 with unique molecular structure exhibiting triple monoamine transporter inhibitory activity could possess potent antidepressant activity.

Timing of clinical improvement and symptom resolution in the treatment of major depressive disorder. A replication of findings with the use of a double-blind, placebo-controlled trial of Hypericum perforatum versus fluoxetine

BACKGROUND

Our objective was to assess for the relationship between timing of clinical improvement and resolution of depressive symptoms during the treatment of major depressive disorder (MDD). Thirty-nine MDD outpatients who responded following a 12-week, double-blind study comparing Hypericum perforatum, fluoxetine or placebo were included in the analysis.

METHODS

Onset of clinical improvement was defined as a 25% decrease in 17-item Hamilton Depression Scale (HDRS-17) scores that was not followed by a subsequent worsening of symptoms. Controlling for baseline symptom severity, we then assessed for the relationship between timing of clinical improvement and depressive symptom severity at endpoint.

RESULTS

Among responders, earlier clinical improvement predicted lower HDRS-17 scores at week 12 (p = 0013). This was also true of responders who received active treatment (n = 29, p = 0.0113) but not placebo responders (n = 10; p > 0.05). Finally, patients with an early onset of clinical improvement (occurring during the first 2 weeks) had lower week 12 HDRS-17 scores than patients with a late onset of clinical improvement (p = 0.0404).

CONCLUSION

In the present work, earlier as well as early clinical improvement during treatment is predictive of greater symptom resolution at endpoint among responders. This was replicated among patients who received active treatment (either hypericum or fluoxetine) but not placebo.

The descriptive epidemiology of commonly occurring mental disorders in the United States

Data are reviewed on the descriptive epidemiology of commonly occurring DSM-IV mental disorders in the United States. These disorders are highly prevalent: Roughly half the population meets criteria for one or more such disorders in their lifetimes, and roughly one fourth of the population meets criteria in any given year. Most people with a history of mental disorder had first onsets in childhood or adolescence. Later onsets typically involve comorbid disorders. Some anxiety disorders (phobias, separation anxiety disorder) and impulse-control disorders have the earliest age of onset distributions. Other anxiety disorders (panic disorder, generalized anxiety disorder, post-traumatic stress disorder), mood disorders, and substance disorders typically have later ages of onset. Given that most seriously impairing and persistent adult mental disorders are associated with child-adolescent onsets and high comorbidity, increased efforts are needed to study the public health implications of early detection and treatment of initially mild and currently largely untreated child-adolescent disorders.

Bayesian modelling and ROC analysis to predict placebo responders using clinical score measured in the initial weeks of treatment in depression trials

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT

* In major depressive disorder an appreciable percentage (40%) of patients in antidepressant trials will have a placebo response. * In these trials, early changes (i.e. within the first 4 weeks) of the clinical score scale (e.g. HAMD-17) are associated with response at end-point. * Unpredictable placebo response is one of the major reasons for clinical trial failure in the evaluation of antidepressant drugs.

WHAT THIS STUDY ADDS

* Provides a model to describe the time course of individual and population placebo response. * Provides a methodology to forecast the individual probability to be placebo responder based on early HAMD-17 measurements with an assessment of the prognostic power. * Provides a methodological framework to implement a population enrichment strategy in the design of clinical trials for the assessment of novel antidepressant drugs.

AIMS

To develop a probabilistic and longitudinal model describing the time course of Hamilton's Rating Scale for Depression (HAMD-17) total score in patients with major depressive disorders treated with placebo and to develop predictive models to estimate the response at end-point given HAMD-17 measurements at weeks 2 and 4.

METHODS

Patients (n = 691) from seven clinical trials were analysed in WinBUGS using a Bayesian approach. The whole dataset was randomly split in a learning (359 patients for model definition) and a test dataset (332 patients for assessment of model predictive performance). The analysis of the learning dataset assumed uninformative priors, whereas the analysis of the test dataset used the posterior parameter estimates of the learning dataset as priors. ROC curve analysis estimated the optimal sensitivity/specificity cut-off between false-negative and false-positive rates and determined the prognostic allocation rule for patients to responder and nonresponder groups.

RESULTS

A Weibull/linear model accurately described the population and individual HAMD-17 time course. The total area under the ROC curve, ranging from 0.76 (logistic model with data at week 2) to 0.86 (longitudinal model with data at week 4), provided a measure of the prognostic discriminatory power of early HAMD-17 measures using the two models. The best placebo-responder classification score (86.32% true and 13.68% false positive) was associated with the longitudinal model with HAMD-17 measures at week 4.

CONCLUSION

Results showed the relevance of the Bayesian approach to predict HAMD-17 score at study end and to classify a patient as a placebo responder given the uncertainty in parameters derived from historical data and early HAMD-17 measurements.

Triple uptake inhibitors: therapeutic potential in depression and beyond

Drugs that interfere with the uptake and/or metabolism of biogenic amines have been used to treat depression for > 4 decades. Early medications such as tricyclic antidepressants and monoamine oxidase inhibitors are effective but possess many side effects that limit their usefulness. Selective serotonin reuptake inhibitors (SSRIs) or selective noradrenaline reuptake inhibitors (SNRIs) are the results of rational design to find drugs that are as effective as the tricyclic antidepressants, but with more selectivity towards a single monoamine transporter. The SSRI class of drugs, which includes fluoxetine, paroxetine and sertraline, were previously viewed as the agents of choice for treating major depression. Recently, inhibitors of both serotonin and noradrenaline uptake ('dual uptake inhibitors'; SSRI/SNRI such as venlafaxine, duloxetine and milnacipran) have gained acceptance in the market. However, neither the SSRIs nor the SSRI/SNRI are fully satisfactory due to a delayed onset of action, low rate of response and side effect that can affect compliance. An important recent development has been the emergence of the triple uptake inhibitors (SSRI/SNRI/selective dopamine reuptake inhibitor), which inhibit the uptake of all three neurotransmitters that are most closely linked to depression: serotonin, noradrenaline and dopamine. Preclinical studies and clinical trials indicate that a drug inhibiting the uptake of all three of these neurotransmitters could produce a more rapid onset of action and possess greater efficacy than traditional antidepressants. This review discusses the evolution of biogenic amine-based therapies, the emerging strategies involved in the design and synthesis of novel triple uptake inhibitors as antidepressants and the therapeutic potential of triple uptake inhibitors.

Age of onset of mental disorders: a review of recent literature

PURPOSE OF REVIEW

The aim of this article is to review recent epidemiological research on age-of-onset of mental disorders, focusing on the WHO World Mental Health surveys.

RECENT FINDINGS

Median and inter-quartile range (IQR; 25th-75th percentiles) of age-of-onset is much earlier for phobias (7-14, IQR 4-20) and impulse-control disorders (7-15; IQR 4-35) than other anxiety disorders (25-53, IQR 15-75), mood disorders (25-45, IQR 17-65), and substance disorders (18-29, IQR 16-43). Although less data exist for nonaffective psychosis, available evidence suggests that median age-of-onset is in the range late teens through early 20s. Roughly half of all lifetime mental disorders in most studies start by the mid-teens and three quarters by the mid-20s. Later onsets are mostly secondary conditions. Severe disorders are typically preceded by less severe disorders that are seldom brought to clinical attention.

SUMMARY

First onset of mental disorders usually occur in childhood or adolescence, although treatment typically does not occur until a number of years later. Although interventions with early incipient disorders might help reduce severity-persistence of primary disorders and prevent secondary disorders, additional research is needed on appropriate treatments for early incipient cases and on long-term evaluation of the effects of early intervention on secondary prevention.

Timing of clinical improvement and symptom resolution in the treatment of major depressive disorder

The goal of the present work is to assess for the relationship between the timing of clinical improvement and the resolution of depressive symptoms in Major Depressive Disorder (MDD). 182 MDD outpatients (40.5+/-9.7 years; 53.8% female) who responded following an 8-week, 20 mg, open trial of fluoxetine were included in the analysis. The symptoms questionnaire (SQ) and Beck hopelessness scale (BHS) were also administered to 83 and 153 of these patients, respectively. Onset of clinical improvement was defined as a 30% decrease in 17-item Hamilton depression scale (HDRS-17) scores. Controlling for baseline symptom severity, we then assessed for the relationship between the timing of clinical improvement and depressive symptom at endpoint. Earlier clinical improvement in responders predicted lower HDRS-17, BHS, SQ-depression, SQ-anxiety, but not SQ-somatic symptom or SQ-anger/hostility scores at week 8. This was true regardless of whether improvement was defined as a continuous measure (30% decrease in symptom severity), as a dichotomous measure (clinical response occurring in the first two weeks of treatment). In conclusion, earlier clinical improvement with fluoxetine treatment is predictive of greater symptom resolution at endpoint. Further studies exploring the impact of various treatment modalities and placebo on the timing of clinical improvement and symptom resolution in MDD are warranted.

Preventing relapse and recurrence of depression: a brief review of therapeutic options

Depression is increasingly recognized as a highly recurrent and potentially chronic illness that imposes a substantial burden on individuals, families, and society. Evidence indicates that the risks of depressive recurrence, treatment resistance, and chronicity increase as the illness becomes more highly recurrent. Up to 1 year of continuation phase therapy is now recommended for virtually all depressed patients who respond to antidepressants, with a longer course of maintenance phase pharmacotherapy recommended for those who have experienced multiple episodes. Antidepressants, when effective during the acute phase of therapy, reduce the risk of depressive relapse (continuation phase) and recurrence (maintenance phase) by at least 50%. Longer-term antidepressant pharmacotherapy is most effective when the full dose of medication effective during acute-phase treatment is continued. As combined treatment with antidepressants and psychotherapy may improve shorter-term outcomes for patients with more severe recurrent depression, ongoing combined therapy may be indicated, especially for patients at particularly high risk. Approximately 5% to 10% of patients maintained on antidepressants relapse yearly, leading some to implicate tachyphylaxis. However, before attributing relapse or recurrence to diminished responsiveness to antidepressant medication at the neurochemical level, clinicians should ensure that the patient has been adherent to therapy as prescribed and consider other explanations.

A 40-basepair VNTR polymorphism in the dopamine transporter (DAT1) gene and the rapid response to antidepressant treatment

Finding predictors of the response to antidepressant therapy is a major goal of molecular psychiatry. The genes encoding the serotonin (SERT) and dopamine (DAT1) transporters are among the possible candidate genes modulating an individual's antidepressant response. In a naturalistic prospective cohort study with a total of 190 fully assessed patients, improvement of depression symptoms during the 3 weeks following initiation of antidepressant therapy was recorded using the 21-item Hamilton Depression Rating Scale (HDRS). The SLC6A3 3' UTR 40-bp variable number of tandem repeats (VNTR) and the SLC6A4 5' 44-bp insertion/deletion polymorphism were analyzed by polymerase chain reaction. There was a significantly smaller number of rapid responders among homozygous carriers of the DAT1 9-repeat allele (9/9) than among heterozygous (9/10) and homozygous (10/10) carriers of the 10-repeat allele (19 versus 37 versus 52%, respectively, P=0.0037). Median decline in HDRS score was 35, 40, and 52% in patients with the 9/9, 9/10, and 10/10 genotypes, respectively (P=0.013). The effect was found in all classes of medications (selective serotonin reuptake inhibitors (SSRIs), tricyclics, mirtazapine, venlafaxine) and statistically significant also within the subgroup of patients having received SSRIs. The serotonin promoter insertion/deletion genotype had no effect in the entire study group, but there was an insignificant trend of better response in the l/l and l/s carriers who received SSRIs or mirtazapine. In conclusion, the dopamine transporter VNTR polymorphism influenced rapid response to antidepressant therapy. Compared with homozygous carriers of the 10-repeat allele, carriers of the 9/10 genotype had an odds ratio (OR) calculated by logistic regression analysis of 1.6 (95% CI 0.8-3.2) and carriers of the 9/9 genotype had an OR of 6.0 (1.5-24.4) for no or poor response. Further studies are required to confirm this clinical association and to elucidate the underlying mechanisms.

Multi-target strategies for the improved treatment of depressive states: Conceptual foundations and neuronal substrates, drug discovery and therapeutic application

Major depression is a debilitating and recurrent disorder with a substantial lifetime risk and a high social cost. Depressed patients generally display co-morbid symptoms, and depression frequently accompanies other serious disorders. Currently available drugs display limited efficacy and a pronounced delay to onset of action, and all provoke distressing side effects. Cloning of the human genome has fuelled expectations that symptomatic treatment may soon become more rapid and effective, and that depressive states may ultimately be "prevented" or "cured". In pursuing these objectives, in particular for genome-derived, non-monoaminergic targets, "specificity" of drug actions is often emphasized. That is, priority is afforded to agents that interact exclusively with a single site hypothesized as critically involved in the pathogenesis and/or control of depression. Certain highly selective drugs may prove effective, and they remain indispensable in the experimental (and clinical) evaluation of the significance of novel mechanisms. However, by analogy to other multifactorial disorders, "multi-target" agents may be better adapted to the improved treatment of depressive states. Support for this contention is garnered from a broad palette of observations, ranging from mechanisms of action of adjunctive drug combinations and electroconvulsive therapy to "network theory" analysis of the etiology and management of depressive states. The review also outlines opportunities to be exploited, and challenges to be addressed, in the discovery and characterization of drugs recognizing multiple targets. Finally, a diversity of multi-target strategies is proposed for the more efficacious and rapid control of core and co-morbid symptoms of depression, together with improved tolerance relative to currently available agents.

A meta-analysis of early sustained response rates between antidepressants and placebo for the treatment of major depressive disorder

CONTEXT

Pattern analysis suggests that "true" drug response is characterized by clinical improvement that is not subsequently followed by a worsening of symptoms (sustained clinical response). To date, several reports demonstrate that early response rates are equivalent between antidepressant-treated and placebo-treated groups of patients with major depressive disorder, suggesting that patients who demonstrate significant and sustained symptom improvement during the first 2 weeks of treatment are not responding to the antidepressant itself, but to nonspecific, placebo-like factors.

OBJECTIVE

To compare early sustained response rates between antidepressant- and placebo-treated adults with major depressive disorder.

DATA SOURCES

Medline/Pubmed were searched. No year of publication limits were used.

STUDY SELECTION

Randomized, double-blind, placebo-controlled antidepressant trials or pooled reports/meta-analyses of such trials reporting early sustained response rates for major depressive disorder. The decision to include studies in the meta-analysis was performed by 2 reviewers.

DATA EXTRACTION

Data were extracted with the use of a precoded form.

DATA SYNTHESIS

Analyses were performed on the proportion of patients who achieved a sustained response the first 2 weeks of treatment, as well as the first week of treatment. A random-effects model with fixed drug effects was used to combine the studies and make comparisons of sustained early response rates between antidepressant- and placebo-treated groups. Data from 8 reports involving a total of 7121 major depressive disorder patients (4076 randomized to treatment with an antidepressant and 3045 randomized to placebo) were analyzed. Antidepressant-treated patients were more likely to demonstrate sustained clinical response by 2 weeks (odds ratio 2.06, 95% CI: 1.52-2.8) or 1 week of treatment (odds ratio 1.50, 95% CI: 1.08-2.08) than placebo-treated patients.

CONCLUSIONS

The results of the present analysis suggest that "true" drug response can occur the first 2 week as well as the first week of treatment of major depressive disorder with conventional antidepressants.