Active clinical trials for "Depressive Disorder"

In fact theWorld Health Organization estimates that 2-3% in general populations of countries across the world tend to be affected by severe mental disorders (1) Thrombolytic therapy seems to be of great importance in achieving better quality of life in ischemic stroke patients who respond to this therapy(rTPA).

According to the survey of the World Health Organization, the number of patients with depression in the world has reached 350 million, has becoming the primary cause of disability and the main disease burden worldwide. In order to better dealing with adverse reactions, improving the doctor-patient relationship and optimizing the treatment cost, FIBSER, STAR-P and HEA Health Economics Follow-up Evaluation Scale are selected as simple and quick evaluation scales to evaluate the influence, doctor-patient relationship and social and economic benefits after drug treatment in clinical treatment. At present, the reliability and validity of FIBSER, STAR-P and HEA scales will be verified the reliability and validity of the above three scales in depressive disorder, aiming at enriching the treatment of depressive patients based on assessment, thus improving the compliance of medication for depressive disorder, improving the doctor-patient relationship and reducing the total burden of social diseases.

Background : Depression and Anxiety are linked to COVID (Coronavirus Disease)-19 long-term impact through several mechanisms. The possible way is the alteration of neurotransmitter regulation from the interaction of severe acute respiratory syndrome -Coronavirus-2 (SARS-COV2) with Angiotensin-Converting Enzyme 2 (ACE2) receptor, and Dopa Decarboxylase (DDC), an enzyme that associated with the production of dopamine, serotonin, and other neurotransmitters. However, some arguments exist that depression and anxiety occur naturally due to external stressors, as the impact of public health measures, and not associated with physiological changes due to viral infection. Objective: This study aims to identify whether the patient discharged after COVID 19 treatment has significant changes in serotonin and dopamine level which might induce depression and anxiety internally and, To distinguish external etiologies that might induce depression and anxiety such as social isolation and stress due to public health restriction. Method: A prospective longitudinal study of people with the interest exposure is COVID 19 and the primary outcome is Depression, Anxiety, and Neurotransmitter level Hypothesis: People with a previous infection of COVID 19 have a significant difference in neurotransmitter level over time and compared to non exposed group and a higher prevalence of anxiety and depression.

The associations between dietary choline, genetics and anxiety/depression

Background: MDD is a common mental disorder with significant morbidities and mortalities. Recent local data suggested that depressive disorders have a prevalence of over 12% in females and nearly 7 % in males in Hong Kong general adult population. Other than insomnia, patients with MDD often complained another sleep symptom - hypersomnia (defined as daytime sleepiness or excessive sleep). Interestingly, when compared to insomnia, there is much far less research on the role of hypersomnia in MDD. However, there are available data suggested that hypersomnia is associated with greater treatment-resistance, more recurrence, and increased suicidality, suggesting a need to investigate this problem in MDD patients. Objective: To investigate the prevalence and determine characteristics of hypersomnia amongst major depressive disorder. Design: 2-phase study design Setting: A case-control study Participants: Patients with a history of Major Depressive Disorder from out-patient clinics in New Territories East Cluster. Main outcome measures: Daytime sleepiness measured by MSLT, actigraphy and self-reported questionnaire (ESS), sleep duration as measured by sleep diary and actigraphy.

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.

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.

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.