View clinical trials related to Depressive Disorder.
Filter by:To compare the efficacy of blue light, bright light and dim light in the treatment of with nonseasonal major depression disorder(MDD) in adults.
Inflammation that is mediated by microglia activation plays an important role in the pathogenesis of depression. Microglia activation can lead to an increase in the levels of proinflammatory cytokines, including TNF-α, which leads to neuronal apoptosis in the specific neural circuits of some brain regions, abnormal cognition, and treatment-resistant depression (TRD). Protein kinase C (PKC) is a key regulator of the microglia activation process. The investigators assume that the abnormality in PKC might be the serum biomarkers of depression.
To evaluate the clinical efficacy of Ginkgo biloba dropping pills on improving the frequency of angina pectoris and the life quality of patients with stable angina pectoris and depression symptoms on the basis of the best western medicine treatment; Study on the clinical pharmacological mechanism of Ginkgo biloba dropping pills.
Major depressive disorder (MDD) characterized by high prevalence, high recurrence rate and high disability rate is a mental illness with the heaviest burden and has become a major public health issue in China and the world. Great challenges in diagnosis and treatment of depression consist of the complicated pathogenesis, a lack of objective diagnostic criteria, unsatisfactory treatment outcomes and poor treatment compliance. The previous studies of our research team showed that depression is affected by multiple factors. We could explore important markers for the diagnosis, treatment and prediction of treatment efficacy in depressed patients' data collected from different dimensions including immunometabolism, brain electrophysiology, brain structure and functional neural circuits, neuropsychology and psychophysiology. Our completed studies in the National Science and Technology Support Program and National Key Research and Development (R&D) Program of the 12th and 13th Five-Year Plan in China found that treatment designed for specific clinical subtypes can improve the treatment effect, and meanwhile, the application of electronic-measurement based care (e-MBC) combined with smart mobile terminals can effectively provide whole-course medical management for patients, improve patient compliance and increase the efficacy of clinical diagnosis and treatment. However, due to disease diagnosis based on clinical symptomatology without subtype distinction and lack of multi-scale biological data mining, multidimensional assessment and deep integration, the results of most previous studies can hardly be used in clinical practice. Therefore, there is a strong urge to carry out a systematic research in which multidimensional evaluation of clinical characteristics and a large scale of data collection and mining are needed to form clinical diagnosis and optimal treatment regimens for depression subtypes. To achieve the goal, patients with depression will be our research subject in this study. First, on the basis of the previous cohort study and the whole-course e-MBC, patients' data of movement, respiratory rate, heart rate and sleep will be further collected. With the help of artificial intelligence (AI) technology such as deep machine learning, the data integrated with EEG imaging and specific immunometabolic markers in blood will be analyzed with clinical characteristics. The model of diagnosis and classification will be established based on multidimensional clinical assessment and verified. Second, through a prospective multicenter randomized controlled trial, optimal treatment regimens for different depression subtypes and individualized magnetic stimulation physical intervention technology navigated by AI will be explored so as to establish a predictive model of curative effect. Finally, long-term follow-up and its regular data collection can be completed on the patient diagnosis and treatment platform which is linked to the e-MBC. Thus, a stable clinical cohort and an advanced database containing multidimensional information of depression will be set up. The whole course e-MBC management platform will be optimized and promoted to improve patient compliance, treatment efficiency and prognosis. This study can provide evidence for precise diagnosis and classification of depression and optimal treatment regimens for different subtypes.
Multiple sclerosis (MS) is a chronic and demyelinating disease of the central nervous system. It is one of the most common cause of neurological disability in young adults. Depression is a common symptom in MS patients, with lifetime prevalence rates going up to 50%. Depression not only reduces the response to treatment, delays the recovery of neurological function and social ability, but also significantly increases the risk of disability in patients with MS. Transcranial magnetic stimulation (TMS) is a non-invasive method of brain stimulation that is based on electromagnetic induction. Intermittent theta burst stimulation (TBS), a newer form of rTMS, delivers 600 pulses in just 3 min, versus 37.5 min for conventional rTMS, but it has been shown to produce similar effects in patient with treatment-resistant depression. To observe the effect and safety of iTBS on patients with MS and depression, we design a double-blind, randomized controlled study. Results of this research will inform on the efficiency of the TMS for the treatment of depression in MS patients, which will reduce the risk of disability and improve the quality of life.
Postoperative cognitive dysfunction is a relatively common in elderly patients after hip surgery, but exact mechanism of its onset is still unclear as well as contributing factors. There is also increased incidence of depression and anxiety. Both affect the recovery after surgery, slow it down and reduce the quality of life. Patients will be divided into two groups, operated under regional anaesthesia and operated under general anaesthesia, and monitored after surgery. Patients will be tested before and after surgery to evaluate postoperative cognitive deficits, depression and anxiety scale and health-related quality of life questionnaire.
Women who were able to benefit from psychiatric follow-up during the quarantine by tele-consultation have a lower risk of anxious and depressive symptoms than those who did not receive follow-up.
Community health workers (CHWs) have successfully used Motivational Interviewing (MI) to improve treatment adherence (i.e. taking medications and attending clinic appointments) for patients with depression in the US and globally. Mobile health (mHealth) tools can address challenges in implementing MI by providing real-time support in the community and facilitating ongoing coaching and supervision for CHWs, as these two challenges currently impede CHWs' ability to use MI. The investigators will develop then test a new mHealth app, which can potentially be used in the US and abroad, to help CHWs receive decision-support for MI and capture consented audio recordings of patient interactions for review and feedback by facility-based nurses with MI expertise.
This is a single-center, double blind, randomized, placebo-controlled, parallel group study of bear bile pill, as add-on therapy in MDD patients conducted in Shang Hai Mental Health Center. The purpose of this study is to determine the efficacy and safety of bear bile pill in reducing symptoms of depression in Major Depressive Disorder (MDD)patients with inadequate response to current antidepressant therapy. Following a screening period, subjects who meet the entry criteria will be randomized to treated with either placebo or 450mg bear bile pill three times daily for 8 weeks.
Studies have shown that admission to hospital during a coronavirus epidemic is associated with increased levels of anxiety, depression and panic disorder. During the SARS-CoV-2 pandemic in North London the Royal Free Hospital admitted over 500 patients with Covid-19. As part of the standard of care, these patients are screened at 8 weeks post discharge for signs of anxiety and depression. The Feeling Good app is a NHS approved digital application which utilises applied relaxation, mindfulness based cognitive therapy and positive visualisation through audio tracks for the treatment of anxiety and depression. This is a naturalistic cohort study aimed to track the post illness psychological symptoms of those who have been admitted with Covid-19 to the Royal Free hospital up to 5-7 months after discharge. The study population is those who are exhibiting anxiety or depressive symptoms as measure by the PHQ-2 or TSQ questionnaires. All those with symptoms will be offered free access to a NHS approved app for anxiety and depression, and followed up for 3 months after recruitment to track changes to their symptoms.