View clinical trials related to Brain Edema.
Filter by:To design and validate a predictive model for malignant brain edema after endovascular thrombectomy.
This is the first and only study conducted on the use of capnography in children diagnosed with DKA to evaluate the initial clinical grading of DKA, monitor clinical improvement, and predict complications such as brain edema.
The objective of this clinical trial is to determine whether rapid local ischemic postconditioning (RL-IPostC) is effective in preventing brain edema and safe in acute ischemic stroke (AIS) patients treated with mechanical thrombectomy. In this trial, researchers will block antegrade cerebral blood flow temporarily by the way of balloon inflation/deflation in AIS patients immediately after revascularization. It makes the ischemic reperfusion brain tissue have a capacity of adaptation through intermittent blood flow restoration. Researchers will evaluate the protective role and safety of different duration of balloon inflation/deflation. The optimal postconditioning intervention dose will be determined for further confirmative investigation.
To establish a predictive model and scoring system for predicting severe complications after thrombectomy. This scoring system can be used to identify high-risk patients after endovascular thrombectomy, guide the early use of adjunctive interventions, and provide reference for future clinical trials.
The purpose of this study is to investigate the clinical improvement measured by the Glasgow Outcome Scale Extended (GOS-E) with ABX-101 compared with Placebo intramuscular injection in participants with moderate to severe TBI.
Research Title: RISK FACTORS ASSOCIATED WITH HIGH ALTITUDE SICKNESS: A CASE-CONTROL STUDY Rationale: The Study will help us to identify risk factors of high altitude sickness among Nepalese and International patients. Aims and Objectives: - To identify risk factors for high altitude sickness, including AMS, HACE, and HAPE. - To compare the prevalence of high altitude sickness between individuals who ascended rapidly versus those who ascended slowly. - To examine the association between high altitude sickness and various demographic and environmental factors, such as age, sex, altitude, and temperature. - To evaluate the effectiveness of preventative measures, such as gradual ascent and medication, in reducing the risk of high altitude sickness Research Hypothesis (if relevant): N/A 1. Material & Methods: 1. Whether study involves Human/animals or both : Human 2. Population/ participants: Patients presenting in Emergency Ward of District Hospital, Mustang with AMS (Acute Mountain Sickness), HAPE (High altitude Pulmonary Oedema) or HACE (High altitude Cerebral Oedema) as CASES Healthy volunteers who didn't develop any symptoms of AMS/HAPE/HACE after their trip to high altitude as CONTROLS 3. Type of study design: : Case Control Study 4. Human study : Inclusion Criteria: Cases: Individuals age 18 years or older who have been diagnosed with AMS based on a LLS score of ≥3 or HAPE or HACE. Controls: Individuals age 18 years or older who did not develop AMS during their trip to high altitude as the cases, and who are matched to cases on age and sex. Exclusion Criteria: - Those who deny consent for participation. - Age<18 years - Pregnant Women 5. Expected sample size : Sample size calculation: Mentioned in methodology 6. Control groups : N/A 7. Probable duration of study: 180 days 8. Setting: Emergency Ward 9. Parameter/Variables to be applied/measured Independent Variables i. Socio-demographic characteristics such as age, sex, address, nationality. Dependent Variables: i. Symptoms of Presentation ii. Ascent Rate iii. Co-morbidities iv. Past History including previous history of altitude sickness v. Personal History such as smoking, alcohol intake, recreational drugs vi. Awareness on High Altitude Sickness vii. Intake of Prophylactic medicine (Acetazolamide) viii. Past history of Covid-19 , TB Outcome measures: Primary (main outcome): All dependent variables (i) Rational for statistical methods to be employed : Data will be entered in Microsoft Excel and converted it into SPSS for statistical analysis . Descriptive statistics will be used to summarize the characteristics of cases and controls. Univariate and multivariate logistic regression analyses will be performed to assess the association between risk factors and high altitude sickness. The results will be reported as odds ratios with corresponding 95% confidence intervals. A p-value of less than 0.05 will be considered statistically significant. (ii) Ethical clearance : Ethical clearance will be obtained from National Health Research Council of Nepal (iii) Permission to use copyright questionnaire/Pro forma: Not applicable (j) Maintain the confidentiality of subject Confidentiality of the participants will be maintained. Whether available resources are adequate: Yes 1. Other resources needed: No 2. For Intervention trial: Not applicable
This study has been added as a sub study to the Simulation Training for Emergency Department Imaging 2 study (ClinicalTrials.gov ID NCT05427838). The purpose of the study is to assess the impact of an Artificial Intelligence (AI) tool called qER 2.0 EU on the performance of readers, including general radiologists, emergency medicine clinicians, and radiographers, in interpreting non-contrast CT head scans. The study aims to evaluate the changes in accuracy, review time, and diagnostic confidence when using the AI tool. It also seeks to provide evidence on the diagnostic performance of the AI tool and its potential to improve efficiency and patient care in the context of the National Health Service (NHS). The study will use a dataset of 150 CT head scans, including both control cases and abnormal cases with specific abnormalities. The results of this study will inform larger follow-up studies in real-life Emergency Department (ED) settings.
Purpose of the study：This study aimed to evaluate the clinical significance of serum SUR1, TRPM4 and MMP-9 in the diagnosis of cerebral edema in children with cerebral edema admitted to PICU by comparing them with CT results and perturbation coefficients, so as to provide biological indicators for clinical diagnosis of cerebral edema and provide targets for the treatment of cerebral edema in various diseases.
Explore the role of Inflammation and coagulation factors in cerebrospinal fluid for predicting persistent cerebral edema after subarachnoid hemorrhage
The goal of this observational study is to compare the differences in the features of cerebral multifrequency EIT(cMFEIT) images between healthy subjects and patients with brain diseases and to explore the possibility of applying multifrequency EIT to intracranial abnormality detection.16 healthy volunteers and 8 patients with brain diseases were recruited as experimental subjects, and the cerebral EIT data of 9 frequencies in the range of 21 kHz - 100 kHz of all subjects were acquired with an EH-300 MFEIT system.