View clinical trials related to Bipolar Disorder.
Filter by:Schizophrenia, bipolar and major depressive disorders collectively affect over 10 million people across the EU and are associated with annual healthcare and societal costs in excess of 100 billion Euros. When diagnosed with one of these disorders, patients are prescribed psychotropic medication such as antidepressants, mood stabilisers or antipsychotics. It is unknown whether this first-line treatment will be successful. After this first-line treatment fails, usually a second-line treatment is initiated, and when this is not successful either a third-line treatment is initiated. Third-line treatments are quite successful, especially when compared to second-line treatments. The research question is whether the third-line treatments (early-intensified treatments) would be more efficacious than the current second-line treatments (treatment as usual) for schizophrenia, bipolar and major depressive disorders. If this is indeed the case, this could lead to the prevention of unnecessary trials of ineffective treatments and adaptations of worldwide guidelines as well as a reduction of healthcare and societal costs.
One in five people will present a major depressive episode (MDE) in their lifetime. While antidepressants (ADs) are currently the standard treatment for MDE, the first AD prescribed is effective in less than 40% of patients and a complete clinical response is only observed after several weeks. Identifying early biomarkers of the response to treatment with an AD could allow the clinician to rapidly identify patients in whom treatment will not be effective and therefore modify patient care. We have recently shown that the messenger RNA (mRNA) of two proteins, ELK1 and GPR56, were present in different amounts in the blood cells of "responder" compared to those of "non-respondent" patients. In this context, our main objective will be to determine whether ELK1 and GPR56 mRNAs, are very early biomarkers of the response to AD, i.e., biomarkers whose variation precedes the clinical response by several weeks. Secondary objectives will be to identify early phase changes in neurophysiological measures, cognitive and behavioral tasks, as well as levels of blood coding and non-coding RNAs, serum cytokine, mitochondrial and metabolic markers, neuroimaging markers as biomarkers of differential treatment outcomes to antidepressant treatment. Patients will be treated with SERTRALINE or FLUOXETINE or DULOXETINE or MAPROTILINE (in monotherapy) with or without adjunct benzodiazepine. Patients are identified as responders or non-responders based on their clinical assessment at 8 weeks after treatment onset. In addition, a second stage will collect data to address another important issue for the management of patients with a MDE: to discriminate those with a major depressive disorder (MDD) from those with a bipolar disorder (BD). BD diagnosis is one of the most common reasons of failure to response to ADs. Therefore, one of our secondary objectives will be to identify biomarkers to differentiate between these two categories of patients. To do this, we will follow patients for a period of 24 months to identify those who will present during this follow-up the diagnostic criteria of bipolarity.
Serious mental illnesses (SMI) like schizophrenia and bipolar disorder are two of the most disabling and costly chronic illnesses worldwide. A high proportion of adults with schizophrenia and bipolar disorder have sleep disorders, like obstructive sleep apnea (OSA), but tend to be underdiagnosed and undertreated compared to the general population. This study aims to examine feasibility, acceptance, and impact of OSA treatment and how it affects cognitive function in people with SMI.
Introduction: A poor therapeutic relationship, poor quality of life, impaired functioning, ineffective coping methods, and lack of motivation It is associated with poor adjustment (to symptoms, treatment, and environment) in patients with bipolar disorder. In order to achieve better compliance and results, the therapeutic relationship, coping skills, quality of life and functionality should be improved by increasing the motivation of individuals. Purpose: This study was planned to examine the effects of motivational interviewing on coping, functioning, adherence to treatment and quality of life in patients with bipolar disorder. Methods: In this single-blind, randomized controlled trial, simple randomization method and pretest-posttest control group design, experimental research design will be used. The work will take place at: Pamukkale University Health Research and Application Center, Psychiatric Hospital from July 2021 to February 2022 and including 48 individuals (24 in the experimental group and 24 in the control group). Working data it will be collected using personal information form, Morisky Medication Adherence Scale (MMAS), The World Health Organization Quality of Life Scale, the Short Form (WHOQOL-BREF), Assessment of Coping Attitudes Inventory (COPE), and Bipolar Disorder Functioning Questionnaire (BDFQ). The researchers will conduct a 6- session of motivational interviewing with the participants in the experimental group. No intervention will be made in the control group. Data will be analyzed on a pre-intervention, post-intervention and post-intervention 3 months (follow-up) basis.
Investigating the application of transcranial infrared laser stimulation in individuals with bipolar disorder.
Lithium therapy is cornerstone in therapy of bipolar disorders. A well known side-effect of lithium therapy is a urinary concentration defect which manifests in it's most severe form as nephrogenic diabetes insipidus. The development of urinary concentration defects and its progression to nephrogenic diabetes insipidus in the population of lithium treated patients is unknown and therefore this study aims to evaluate the decline of urinary concentration defects in a Dutch population of lithium treated patients. In this prospective cohort study, 51 participants treated with lithium at Canisius Wilhelmina Hospital, Nijmegen and included in the previous study in 2012 will be approached to undergo a follow-up dDAVP-test.
Measurement based care (MBC) is an emerging best practice involving serial assessment of clinical status and using those findings to inform clinical decision making. However, there is a lack of research on how to best apply principles of MBC for patients with bipolar disorder. The proposed project goal is to assess the feasibility of comparing effectiveness of measurement-based care (MBC) to enhanced usual care in a randomized trial. Many individuals with bipolar disorder experience fluctuating depressive and manic symptoms which can impair functioning and reduce quality of life. The main hypothesis is that treatment adjustments will occur more often in the MBC group than the enhanced usual care group. The exploratory hypothesis is that symptoms of bipolar disorder will decrease more in the MBC group than the enhanced usual care group.
Bipolar disorder is a common condition that can cause significant disability and risk for suicide. Second generation antipsychotic medications can be used to treat depression in bipolar disorder, yet we do not know how they work. Here, we will use a recently approved medication, cariprazine (Vraylar), to treat participants with bipolar depression. They will have brain imaging with PET scans before and during treatment to understand how the medication may be working. Particularly, we will look at the role of the D3 dopamine receptor.
Relapses in bipolar disorders are associated with a significant proportional functional impact, as well as worsening of the course of bipolar disorder, with impairment of the quality of functional remission, as well as the development of addictive, anxiety and suicidal comorbidities.The functional deficit and the instability of the mood disorder increase with thymic relapses. Currently, these relapses (transition from the state of remission, to a depressive or hyperthymic state) are difficult to predict and to treat because of the absence of correlation between the degree of severity of the stressful event (intensity associated stress) and the occurrence of relapse, taking into account the mediation of this relationship by the stress compensation / adaptation capacities, which are very individual. This project proposes to develop tools based on artificial intelligence technologies to monitor the level of stress and adaptation to life events as well as identifying relapse predictive factors of a patient by using portable and connected devices recording different physiological signals in order to alert him/her when there is a risk of relapse, thus anticipating therapeutic strategies.
The aim is to provide a comprehensive assessment regarding the service provision and the accessibility to intensive mental health care in Rwanda