Active clinical trials for "Depressive Disorder"

The aim of this study is to investigate the changes in the retinal nerve fiber layer thickness of the patients with depression who received electroconvulsive therapy by means of optical coherence tomography.

Research has shown that people with depressive symptoms maintain negative expectations even if they have positive experiences that contradict their expectations. Healthy people, however, change their expectations after unexpected positive experiences. In this experimental study, it will now be examined whether there are also differences between healthy people and people with depressive symptoms in dealing with unexpected negative experiences.

Groups (intervention group receives 50000 IU vitamin D and control group receives placebo) through a random allocation. After 8 weeks, blood sample will be collected from each participant. The studied indices (inflammatory (IL-1β, IL-6, hs-CRP), PTH, platelet serotonin, serum oxytocin, serum 25(OH) D, depression status and anthropometry indices) will be evaluated at beginning and end of interventional period.

Depression is one of the most common conditions among primary care patients. Nevertheless, there are several problems in depression diagnosis, clinical management and outcomes. The INDI study, which is based in a collaborative care model, aims to improve the management of depression in primary care patients. It is intended to be implemented in clinical practice within the context of primary care.

Studies have reported that the patient's psychological state such as anxiety, depression and other emotion affect the therapeutic effect of osteoarthritis, also may be the important reason for the poor knee joint osteoarthritis efficacy. The aim of this study are firstly to investigate the depression status of patients with osteoarthritis. Secondly, the study will aim to assess whether osteoarthritis progression will affect depression status, ultimately, provide reference for clinical.

According to the statistics released by the Department of Health,Executive Yuan in 2005,depression, cancer and AIDS will become the three main diseases of the 21st century.The prevalence of depression is 5.8% for males and 9.5% for women in the worldwide total population each year.Depression ranks second next to cardiovascular disease and impacts on social and economic burdens.From the perspectives of prevalence,suicide rate,loss of workforce,family burden,co-morbidities and health care expenses,the issues related to caring for patients with depression should not be overlooked.Communication is often neglected while exploring the issues of caring for depressed patients,which can consequently affect their family,work performance,social interaction,and even leads to a risk of suicide.Therefore,in order to enhance their psychological adjustment and health management,it is particularly important to achieve effective communications.

Current methods of choosing treatment for major depressive disorder (MDD) are inefficient. The Strategic Treatment to Achieve Remission of Depression (STAR*D) Trial revealed that only about 1/3 of patients treated with antidepressant drugs will go into remission with the first medication chosen. We hypothesize that pattern recognition software using Machine Learning methods can accurately predict response to a variety of antidepressant medications (ADM) or cognitive behavior therapy (CBT) after training using pre-treatment demographic, clinical, laboratory or electroencephalographic (EEG) data. These algorithms might assist the clinician to chose, for any given patient, an antidepressant treatment option with greater probability of favourable response than is achievable using current best practise methods.

Subjects with major depression will be evaluated and intensively characterized through questionnaires, computerized cognitive evaluation and laboratory investigations. Magnetic resonance imaging will be used to document baseline white matter structure. subjects will then receive desvenlafaxine which will be adjusted as clinically indicated. After 16 weeks the evaluations will be repeated.

The mechanisms of oxidative stress and inflammation involved in mood disorders are factors of chronicity and severity. These mechanisms induce a phenomenon of accelerated cellular senescence and are reflected by alterations in systemic gene expression detectable in leukocytes in peripheral blood. The genetic markers of these mechanisms are clinically significant markers. The identification of new genetic markers will make it possible to improve evaluations of the severity and somatic consequences of depressive syndromes.

The objective of this study is to investigate the antidepressant efficacy of rTMS, and to assess cortical metabolism before and after rTMS sessions in patients with major depression. We also aimed to investigate differences between the responders and nonresponders to rTMS and what would predict clinical response to rTMS.