View clinical trials related to Neurocognitive Disorders.
Filter by:People living with HIV (PLWH) often have memory and thinking problems, which can range from mild to severe. These problems, which are called neurocognitive impairment (NCI), can appear even when PLWH are taking medicine to manage their HIV. PLWH who are experiencing NCI can have difficulties managing everyday activities. For instance, they might not remember to take their medicine on time, they might struggle to manage their money properly, and they might even be at a higher risk of passing HIV on to other. Ultimately, PLWH who are experiencing NCI might not enjoy life as much as others do. Currently, there are no specific medicines designed to treat NCI in PLWH. There are, however, some useful memory and thinking strategies that can help improve cognitive abilities. These strategies are called cognitive remediation (CR). In South Africa, there are many PLWH. Unfortunately, the country does not have clear plans for identifying and managing NCI in PLWH. It's difficult to use CR in South Africa because of cultural differences between where the strategies were developed and the patients who might need to use it, limited healthcare resources, and HIV clinics not having enough information about NCI. There are, however, some promising ways to deal with these issues. For example, it can be helpful to involve regular counselors and to use simple tests on mobile phones to find people who need assistance. With some effort and creativity, investigators can improve the situation and help PLWH lead better lives. The proposed study is a unique opportunity to find new ways to help PLWH and others with brain-related diseases who might be experiencing NCI. Investigators want to explore ways to use cognitive exercises to improve thinking abilities. This study will be the first of its kind because investigators will adapt these exercises to fit the cultures and languages of South Africa, where many people are affected by HIV and NCI. By doing this research, investigators hope to make important progress in addressing NCI in HIV and similar conditions. Investigators will learn how to make these cognitive exercises work best in South Africa's public clinics, and this knowledge can help people with NCI live better lives. Our goal is to improve healthcare not only in South Africa but also in other parts of the world that might be facing similar challenges with improving the lives of PLWH.
This is a prospective cohort study to explore the differences of resting-state functional magnetic resonance imaging (fMRI) between elderly gastrointestinal neoplasms patients with postoperative delirium (POD) who either develop or do not develop long-term postoperative neurocognitive disorders (pNCD).
This study is a prospective cohort study to investigate the differences in resting-state functional magnetic resonance imaging (fMRI) between elderly spinal surgery patients with postoperative delirium (POD) who either develop or do not develop long-term postoperative neurocognitive disorders (pNCD).
The aim of the research is to analyze whether 18F-FDG PET helps in the diagnosis and therefore in the management of the patient.
Anesthesia and perioperative Neurocognitive Disorders in the Elderly patients undergoing hip fracture Surgery platform trial (ANDES platform trial): A pragmatic multi-arm, adaptive, open label, multicenter randomized controlled platform trial to assess the effect of different enhance anesthesia technique in perioperative neurocognitive function, as compared to standard anesthesia care in the elderly patients undergoing hip fracture
The incidence of postoperative delirium in elderly patients is high, which can lead to long-term postoperative neurocognitive disorders. Its high risk factors are not yet clear. At present, there is a lack of early diagnosis and alarm technology for perioperative neurocognitive disorders, which can not achieve early intervention and effective treatment. By artificial intelligence and autonomously evolutionary neural network algorithm, relying on multi-source clinical big data, we explored the use of Bayesian network to optimize the anesthesia decision-making system in enhanced recovery after surgery, and established risk prediction model for perioperative critical events. It is expected that this method will also help to establish a risk prediction model for postoperative delirium and long-term postoperative neurocognitive disorders. This project plans to collect the perioperative sensitive parameters of anesthesia machine, multi-parameter monitor, EEG monitor,fMRI and HIS system, to explore the evolution process of data characteristics by feature fusion.We also plan to quickly screen key perioperative risk characteristics of postoperative delirium from massive clinical data through feature selection, to explore the high risk factors of long-term postoperative neurocognitive disorders developing from postoperative delirium. Finally, with multi-center intelligent analysis，the risk prediction model of postoperative delirium and long-term postoperative neurocognitive disorders will be constructed.
The incidence of MBI and the probability of progression to dementia are high. Early detection and intervention have important clinical significance to reduce the occurrence of dementia, delay the progression of dementia and promote healthy aging to active aging. The occurrence and development of NPS in MBI patients may be related to genetic and degenerative changes in the central nervous system. The evaluation of MBI patients is mainly based on neuropsychological tests, including NPS and cognitive function assessment. Landmark model is an effective tool for dynamic risk prediction of the progress of MBI. It can make dynamic prediction at different time points according to various existing measurement indicators of an individual and calculate the individual prediction probability, which is one of the best models for studying the outcome of disease at present. The Landmark model is applied to the elderly MBI population to study the influencing factors of normal aging, MBI and dementia and the probability of metastasis, which is a beneficial attempt to further advance the defense line of dementia. Personalized non-drug intervention is the preferred treatment for MBI, which mainly includes cognitive/emotional intervention, sensory stimulation, exercise therapy, etc. Currently, it is recommended to adopt diversified strategies to implement individualized precision treatment programs for patients. The hierarchical and classified health management of elderly MBI patients combined with health portrait technology is helpful to improve management efficiency and better meet the needs of personalized health management for the elderly.
Depression in neurocognitive disorders (Alzheimers' disease and related disoders) is a highly prevalent condition, especially in nursing homes. While it is associated with significant distress, the current conventional antidepressants have shown only modest efficacy and exposed to potentially severe side effects. Recent evidence suggests that nitrous oxide (N2O) in its most commonly used packaging of EMONO (Equimolar Mixture of Oxygen and Nitrous Oxide) has rapid antidepressant properties and a good safety profile. However, no study has investigating the antidepressant effect of EMONO in a population of depressed older adults with moderate to severe neurocognitive disorders in nursing homes. The principal goal of the PROTO-EHPAD study is to compare the changes in depressive symptoms in such individuals in a randomized controlled trial with a follow up period of 8 weeks, with a dosage escalation procedure.
The Sleep Optimization for Brain Health Outcomes in Older Surgical Patients (SLEEP-BOOST) is a pilot randomized, controlled, singled-blinded (participant) trial in major orthopedic joint surgery patients that will build on a previously clinically tested cognitive behavioral therapy for insomnia (CBT-I) mobile application paired with a wearable device (wrist actigraphy).
This is a prospective cohort study with the main purpose of predicting progression neurocognitive disorders in Thai population. The main predictor variables to be evaluated are plasma phosphorylated tau (p-tau) level and cognitive test scores, which will be combined using statistical/computational modeling. Additionally, it seeks to evaluate biomarkers for diagnosing disease pathologies, understand their correlation with clinical outcomes, and explore the socioeconomic impact of neurocognitive disorders. The study invites both participants for biospecimen collection, structured interviews, and cognitive examinations and schedules follow-up visits annually or biennially.