Active clinical trials for "Depression"

This is a longitudinal observational study (via electronic records and biospecimens) designed to utilize health IT advances to collect information from patients undergoing routine care. This information will be stored in a database. Patients undergoing routine care from their providers will be invited to participate in the UTSW Depression Cohort. After obtaining informed consent, the CDRCC team will collect information from available sources and store it in a secure UT Southwestern network database protected by a security firewall. A schematic representation of this information processing is shown in the figure contained in section 3 of the protocol. As part of the UTSW Depression Cohort, patients will allow banking of their specimens. Specimens which are banked may include blood or blood products, urine, tissue samples, saliva, stool samples or clinical waste products. The study will only enroll participants comfortable with providing specimens. As the goal of the UTSW Depression Cohort is to create a national database, CDRCC will engage with patients, providers, and researchers at local, regional, and national levels. A large number of medical providers are already screening patients for depression. Structured instruments like PHQ-2 or PHQ-9 are often used. Hence, the CDRCC will seek collaborations with local, regional and national partners so that information contained in their health IT initiatives can be included in the this database. Due to the clinical nature of information collected, the investigators anticipate marked heterogeneity in the variables and amount of data collected. Database architects will utilize big data (large volumes of information from diverse sources with variable degrees of quality and complexity) tools to structure the registry so that additional variables can be added, as needed. The CDRCC team will maintain a detailed codebook of variables collected in the database. All statistical analyses will be conducted only on de-identified data. Researchers may obtain access to this de-identified data by following procedures established by the CDRCC, which include obtaining IRB approval.

While effective interventions for depression exist, their success rates are unsatisfactory and their provision is haphazard. The Canadian Depression Research and Intervention Network (CDRIN) Maritimes Depression Hub will improve the delivery of care and the quality of outcomes for youths, adults and seniors with depression across the Maritimes. The investigators will establish an integrated system of assessment, treatment, research and education related to depression with the active involvement of those with lived experience. The establishment of a patient registry is a key step that will facilitate evaluation and reform of current services, integration of patient choice and community resources into treatment programs, monitoring long-term outcomes, and development of more effective treatment approaches through research. The registry will facilitate research that will include validation of new diagnostic and outcome measurement tools, low-cost clinical trials and collaborative projects with national and international partners. Educational programs will involve training the next generation of researchers, those with lived experience, clinicians, and health system managers in critical appraisal and will facilitate their involvement in research. The registry, the proposed systematic measurement of outcomes and the broad dissemination of information and skills will improve the quality of research and of care as well as the experience of patients and their families. The need for a registry: It is increasingly recognized that major advances in the treatment of mental disorders will require large scale clinical research. Recently demonstrated ways of completing large-scale research with finite resources include the routine use of electronic health records (EHR), data linkage and randomized registry trial. Use of EHR is the most efficient way of rapidly obtaining large amounts of information. However, EHR cannot completely exclude confounding by indication and other unmeasured variables. Therefore, tests of treatment effects require experimental designs that cannot be replaced by routine health records data. The gold standard for testing the effects of treatment in an unbiased way is the randomized controlled trial (RCT), where measured and unmeasured confounders are balanced through the randomization process and any remaining confounding is due to chance alone. RCTs are valued as the highest level of evidence, but are costly and take significant time to be completed, partly because of the need to screen a large group of individuals to identify eligible participants. The most efficient unbiased test of interventions, new treatment modalities and novel ways of treatment delivery is a method that combines EHR use with the randomized controlled trial (RCT) methodology: the randomized registry trial (RRT). The RRT takes advantage of a registry of individuals with available information to identify a large number of individuals suitable for an RCT. The RRT approach is efficient especially if the same information (e.g. diagnosis and treatment history) is used repeatedly for different purposes. The same information can be used for clinical purposes, service improvement and multiple research projects. RRT will allow obtaining answers about the efficacy of new treatments and management strategies significantly faster and at a much lower cost than traditional RCTs. Therefore, the investigators propose to establish a registry that has the capacity to conduct RRTs. The proposed registry will be integrated with similar efforts across Canada. Jointly, this collaborative network of registries will facilitate fast and economical testing of new treatments, which is urgently needed to advance the therapeutic options for people with depression and related conditions.

The primary objective of this study is to assess short, mid and long-term clinical outcomes in patients with difficult to treat depression (such as patients with treatment resistant depression) treated with Vagus Nerve Stimulation (VNS) Therapy as adjunctive therapy.

The goal of MEM-ASA is to investigate the prevalence of anxiety/depression, sleep disturbances and alcohol use disorder in elderly with cognitive complaints. In memory clinics of Normandy (France), all patients aged over 50 year-old are systematically questioned about anxiety, depression, sleep quality and alcohol use disorder. They also perform a neuropsychological assessment. Questionnaires are given to the patient and his/her caregiver to be filled in at home. Levels of anxiety/depression, sleep quality and alcohol consumption are related to neuropsychological performance, diagnosis and responses to the questionaires.

The present study aims to develop a new predictive index to predict future depression of adolescents by using factors including individual, interpersonal and environmental. The index can be used to predict likelihood of students who are non-probable depression cases convert into probable depression cases. In addition, the investigators also test the factors of depression remission. It can hence be used in school setting to identify high-risk students, and provide them with secondary interventions that are designed by considering modifiable significant variables identified in this unique, large-scale, longitudinal study.

The study aims to use machine learning to predict the occurrence of episodic and autobiographical memory deficits as well as treatment response following a course of electroconvulsive therapy. Additionally, the neurophysiological correlates of the cognitive effects after a course of ECT will be investigated. Therefore, structural, resting-state and diffusion tensor images will be collected within one week before the first and after the last ECT treatment from severely depressed patients. Standard measures of cognitive function and specifically episodic as well as autobiographical memory will also be collected longitudinally and used for prediction. The study consists of 60 ECT receiving inpatients suffering from major unipolar or bipolar depression, 60 medication-only controls and 60 healthy controls.

A randomized controlled trial will compare hippocampal neuroplasticity, antidepressant, and cognitive outcomes between individualized amplitude and fixed 800 mA amplitude ECT in older depressed subjects (n = 25 per group, n = 50 total). Relative to fixed 800 mA ECT: H1: Individualized amplitude arm will have improved RUL antidepressant outcome (IDS-C30 response rates and reduced BT electrode placement switch at V2). H2: Individualized amplitude arm will have improved cognitive outcomes (DKEFS-Verbal Fluency

Rheumatoid arthritis (RA) is a systemic chronic inflammatory disease, and depression and anxiety are among the most common comorbidities in RA patients, with a high prevalence rate. Epidemiological studies have found that joint deformities, severe pain, positive serum RF titers, as well as comorbidities such as hypertension, insomnia, pain, and fatigue are significantly associated with depression and anxiety in RA patients. Currently, clinical studies have found that the relief of depression or anxiety is one of the expected treatment goals for RA patients. Due to the unclear pathogenic factors of depression or anxiety in RA patients, there is a lack of effective clinical treatment options. Therefore, this study will use a "causal inference model" to identify possible "mediating variables" that may lead to the comorbidity of RA and emotional disorders through clinical investigation, aiming to improve the precision of treatment for physicians.

Investigators will evaluate the implementation of an evidence-based, Spanish-language, digital, cognitive-behavioral therapy intervention (SilverCloud) in primary care settings for Latino patients with depression and/or anxiety. 426 participants will be enrolled in a two-armed trial comparing self-guided vs. supported dCBT (SilverCloud). At the provider level, investigators will compare the efficacy of provider referrals with the use of a clinic patient registry to identify candidates who could benefit from a digital mental health intervention.

Emotional disorders (anxiety and/or depression) are severely undiagnosed and untreated despite being among the most common mental disorders, particularly at a young age. Half of all mental disorders begin by age 14; three-quarters by age 24, which makes adolescence a particularly crucial stage. In adolescence, prodromal signs of mental disorders and even full-blown clinical conditions often remain undetected, undiagnosed and untreated. However, there is an absence of evidence-based protocols to reach at-risk youth for developing emotional disorders. There is an urgent need for a paradigm shift by developing intervention protocols to early identify and treat at-risk adolescents, thus preventing them from developing severe mental disorders later on in life. Mental health selective prevention is key to helping at-risk adolescents thrive before emotional disorder evolves. To cover this gap, PROCARE is conceptualized as a modularized selective preventive programme for adolescents aged 12 to 18 years. Using personalized medicine approach, PROCARE will allow to tailor intervention protocols according to the particular needs of an individual, but also to identify vulnerable people according to risk factors. Adolescents will be stratified based on risk and resilience status and allocated to a 3-arm intervention trial, delivered as a group, face-to-face or telehealth format, depending on Covid19 restrictions imposed by government. By the very first time, PROCARE as selective intervention for at-risk adolescents will deliver specific add-on modules to tackle risk factors evidenced by adolescents, along with a core intervention. The PROCARE protocol aims to reduce the effect of risk factors and enhance protective factors that will eventually lead to lasting positive effects for adolescents. PROCARE will combine quantitative analysis, with special attention to vulnerable groups in a sex/gender disaggregated way. The PROCARE project is expected to have a far impact ultimately contributing to preventing and reducing the prevalence of mental disorders in the young. The outcomes of PROCARE will contribute to identifying and treating adolescents at risk for emotional mental at an early stage, before they incur personal, societal and economic cost. PROCARE will be culturally-adapted and implemented as a multicenter Randomized-Controlled Trial (RCT). PROCARE will be designed to be an acceptable, scalable, and sustainable selective prevention program.