Active clinical trials for "Depressive Disorder, Major"

Residual Symptoms of Depression (SRD) are those symptoms that persist despite remission of MDD. They are characterized by a high incidence (approx. 90% of patients in remission) at the psychiatric clinic, have become a growing problem. Its presence is associated with a high probability of relapse / recurrence and disability, as determined by decreased performance and low quality of life. Their neglect has generated an increase in clinical and socioeconomic costs, alerting the need for research to provide treatment strategies. The application of different types of psychotherapy has been successful in abating SRD. The present study aims to evaluate the clinical changes related to the application of music therapy as a treatment of SRD, through a randomized controlled trial with two treatment arms trial. Music Therapy (MT) is a psychotherapy provided by specialized health professionals, and is defined as the clinical use of musical evidence-based interventions within a therapeutic relationship. MT treatment group will design an application schema of 8 sessions (2 hrs. Each) over a period of two months (one session per week). The control group will receive the Usual Treatment (TU) which corresponds to the usual clinical psychiatric treatment by the physician in the INPRF, with the same duration. The evaluation will be conducted with clinimetric testing at baseline, at the end of the track and after three months of treatment. This study seeks to identify the presence of SRD in a Mexican sample and explore a treatment designed for that purpose, also, show that the MT is a cost-effective implementation can become a new clinical option to extend the possibilities of assistance and deepen the investigation of this problem.

This Randomized Clinical Trial (RCT) compares outcomes in patients with major depressive disorder (MDD) treated according to the patient's CYP2D6 genotype status versus empiric "standard-of-care" psychotropic therapy. The hypothesis is that provision of medication based on the functional status of the patient's CYP2D6 enzyme inferred from genotype results within 48 hours of admission to treating clinicians will, through refined selection of psychotropic medication during hospitalization, decrease length of psychiatric hospitalization stay and decrease the rate of 30 day re-admission. The trial setting is the Hartford Hospital Institute of Living (IOL). The IOL operated the Clinical Evaluation and Monitoring System (CEMS), an innovative electronic messaging system developed by Co-Investigator Dr. J.W. Goethe. The Hartford Hospital Genetics Research Center (GRC) performs the genotype testing. CYP2D6 genotype analysis detects all known polymorphisms that result in an enzyme with sub-normal or supra-normal function. In this study, CEMS transmits clinically actionable guidance based on the patient's genotype to the clinician, advancing the medication alerts in real time. The RCT will test the effects of timely incorporation of medication recommendations based on CYP2D6 genotype into CEMS. The RCT randomizes patients to standard therapy (Group S) for whom CYP2D6 genetic information is determined but not transmitted to the treating clinician, allowing psychotropic therapy to be empirically determined, and to genetically guided therapy (Group G) where genotyping result and treatment recommendations are furnished via CEMS to the clinician within 48 hours of admission. For patients in Group G who are poor or rapid metabolizers, medications primarily metabolized by the CYP2D6 enzyme are proscribed. The primary outcome is hospital length of stay and the secondary outcome, the frequency of 30 day hospital readmission. Additional genetic stratification of both Group S and Group G will allow investigation of specific psychotropic usage. The expected benefits are (1) quantitative understanding of the effect of providing CYP2D6 pharmacogenetic information on length of hospitalization, 30 day readmission rate, and associated costs; and (2) objective benchmarking for the comparative effectiveness of CYP2D6 genotyping for guiding psychotropic therapy.

A multicenter, 10-week study to evaluate the efficacy and safety of Sustained-Release Desvenlafaxine Hydrochloride versus Sustained-Release venlafaxine Hydrochloride in adult with major depressive disorder.

Despite significant advances in pharmacological treatment, the global burden of depression is increasing worldwide. The major challenge in antidepressant treatment is the clinicians' inability to predict the variability in individual response to the treatment. The development of biomarkers to predict treatment outcomes would enable clinician to find the right medication for a particular patient at the early stage of the treatment and thus could reduce prolonged suffering and ineffective protracted treatment. Brain imaging studies that examined brain predictors of treatment response based on group comparisons have limited value in classifying individuals as responders or non-responders. Machine learning classification techniques such as the support vector machine (SVM) method have proven useful in the classification of individual brain image observations into distinct groups or classes. However, studies that have applied the SVM method to structural and functional magnetic resonance scans (fMRI) involved small sample sizes and were confounded by placebo responses. Furthermore, a recent meta-analysis of clinical trials and EEG studies have shown that early clinical responses and brain changes at the early phase of antidepressant treatment may predict later clinical outcomes suggesting that neural markers measured in the early phase of antidepressant treatment may improve predictive accuracy. However, there is no fMRI study to date that has examined the predictive accuracy of data obtained in early phase of the treatment. We have preliminary fMRI data relating to early treatment response that form the basis of this proposed study. The main objective of this study is to use machine learning method to examine the predictive value (sensitivity, specificity, accuracy) of resting state and emotional task-related fMRI data collected at pre-treatment baseline (week 0) and in the early phase of antidepressant treatment (week 2) in the classification of remitters (< 10 MADRS scores after 12 weeks of treatment) and non-remitters in patients with major depressive disorder (MDD). A secondary objective is to determine which data set (week 0 or week 2) gives the best predictive value.

Ketamine has been safely used for induction and maintenance of anesthesia for decades and more recently has been used for chronic pain. Ketamine is a noncompetitive, high-affinity antagonist of the N-methyl-D-aspartate type glutamate receptor, with additional effects on dopamine and μ-opioid receptors. During the last 9 years several uncontrolled reports have been published, showing a rapid and impressive effect of ketamine in TRD patients (Berman, Cappiello et al. 2000; Zarate, Singh et al. 2006; Mathew, Murrough et al. 2010; Aan Het Rot, Zarate et al. 2012; Mathew, Shah et al. 2012; Murrough, Iosifescu et al. 2013). Recently three placebo-controlled trials showed that a single dose of sub-anesthetic, (0.5 mg/kg) slow intravenous (IV) ketamine improves depressive symptoms dramatically. Across studies, a clinically significant antidepressant response was maintained for up to 72 hours in 12 of 25 patients. Nonetheless, all but two patients relapsed <2 weeks post-ketamine (Zarate, Singh et al. 2006; aan Het Rot, Zarate et al. 2012). Rot et al. showed that repeated IV ketamine infusions prolongs the duration of improvement. The investigators believe that the data presented above allows us to provide ketamine treatment here in the Sheba Medical Center for TRD patients.

The purpose of this study is to determine whether an oxytocin ad-on, or oxytocin and tibolone ad-on can induce a response to antidepressants in patients with treatment resistant depression.

Background: According to the WHO, major depressive disorder is the second largest healthcare problem worldwide in terms of disability caused by illness. It afflicts an estimated 17% of individuals during their lifetimes at tremendous costs. A number of depressive patients are treated with antidepressant medication. The efficacy of antidepressant medication has been studied in a number of systematic reviews, and in recent years some of these reviews have shown that the efficacy is questionable for many patients. So are there other effective treatments for this serious illness? Cognitive- and psychodynamic therapies are probably both significantly more effective for depression than no treatment, but only limited comparisons have been made between the two interventions. A Cochrane review shows that cognitive therapy has a preventive effect against recurrent depression, and that this effect may surpass the preventive effect of antidepressant medication. Mindfulness training may be an effective technique in preventing relapse in patients who have had at least 3 previous depressive episodes. But efficacy in treating currently depressed patients has not been studied. Objective To perform a randomised clinical trial with blinded assessment of efficacy variables in order to study the effects of mindfulness based behavioral therapy (cognitive therapy and mindfulness) versus psychodynamic therapy in depressive patients. Methods A randomised clinical trial of 84 consecutive patients diagnosed with major depressive disorder, referred to the day clinic, Roskilde psychiatric services. The patients will be randomised to one of two interventions: MIBT (mindfulness-based behavioural therapy) PT (psychodynamic therapy)

Patients with diabetes and major depression treated with Escitalopram might experience significant improvement in depression and anxiety scores; functional ability; diabetes-related self-care; and pain symptoms

The purpose of this study is to assess the effect of escitalopram on sleep architecture utilizing a prospective design. Hypothesis: Escitalopram will improve REM latency in patients with MDD that have responded clinically to treatment.

Major Depressive Disorder affects approximately 16% of the adult population over the lifetime. Controlled studies indicate that short-term antidepressive medications or psychotherapy produce full remission in only about 46% of patients. Furthermore, about 80% of patients will continue to have subsequent recurrences after remission of the first episode, with each episode increasing the probability of future recurrences. This pilot study will examine whether antidepressive medications plus one of three commonly available types of psychotherapy used in the short-term treatment of depression can protect against the recurrence of depression if active treatment is extended to 18-months duration. Results will aid designing a more complete study. Adults with an acute episode of major depressive disorder with at least one prior episode will be randomized to Antidepressive medications (ADM) plus 18-months of either Cognitive-behavioral therapy (CBT) or Dynamic psychotherapy (DYN), or to a standard control therapy, Supportive Clinical Management (SUP-CM). We will determine whether a higher percentage of those receiving either CBT or DYN remain well after three years of follow-up, compared to those receiving the standard control treatment. We will also examine the reduction in psychological risk factors as well as potential economic benefits of the three approaches.