3 Clinical Trials for Various Conditions
Severe strokes, including large artery acute ischemic stroke and intracerebral hemorrhage, continue to be the leading cause of death and disability in adults in the U.S. Due to concerns for a poor long-term quality of life, withdrawal of mechanical ventilation and supportive medical care with transition to comfort care is the most common cause of death in severe strokes, but occurs at a highly variable rate. Decision aids (DAs) are shared decision-making tools which have been successfully implemented and validated for many other diseases to assist difficult decision making. The investigators have developed a pilot DA for goals-of-care decisions for surrogates of severe, critically ill stroke patients. This was developed through qualitative research using semi-structured interviews in surrogate decision makers of traumatic brain injury patients and physicians, and adapted to severe strokes. The investigators now propose to pilot-test a DA for surrogates of critically ill severe stroke patients in a feasibility trial.
Life-threatening mass effect (LTME) arises when brain swelling displaces or compresses crucial midline structures subsequent to acute brain injuries (ABIs) like traumatic brain injury (TBI), ischemic stroke (IS), and intraparenchymal hemorrhage (IPH), which can manifest rapidly within hours or more gradually over days. Despite advancements in surgical management, significant gaps in understanding persist regarding optimal monitoring and therapeutic approaches. The current standard for identifying LTME involves neurologic decline in conjunction with radiographic evidence or increased intracranial pressure (ICP) indicating space-occupying mass effect. However, in critically ill patients, reliance on subjective physical exam findings, such as decreased arousal, often leads to delayed recognition, occurring only after catastrophic shifts have already occurred. The goal of this study is to determine the association of non-invasive biomarkers with neurologic deterioration, and to determine whether non-invasive biomarker inclusion improves detection of outcome and decline. The investigators propose to use various non-invasive methods to monitor ICP as adjuncts in detecting deteriorating mass effect. These methods include quantitative pupillometry, radiographic data, laboratory data, and other bedside diagnostic tests available including electroencephalography (EEG), skull vibrations detected via brain4care device, optic nerve sheath diameter assessment (ONSD), and ultrasound-guided eyeball compression. Some of these methods will be measured \*only\* for the purposes of the research study (such as skull vibrations via brain4care). Other measurements, such as quantitative pupillometry, will represent additional measurements beyond those already being collected for clinical care. This research study is necessary to understand the association of these non-invasive biomarkers with neurological decline and outcomes while considering potential confounding factors.
The goal of this clinical trial is to explore the effect of FDA-approved antiseizure drugs in the brain connectivity patterns of severe and moderate acute brain injury patients with suppression of consciousness. The main questions it aims to answer are: * Does the antiseizure medication reduce the functional connectivity of seizure networks, as identified by resting state functional MRI (rs-fMRI), within this specific target population? * What is the prevalence of seizure networks in patients from the target population, both with EEG suggestive and not suggestive of epileptogenic activity? Participants will have a rs-fMRI and those with seizure networks will receive treatment with two antiseizure medications and a post-treatment rs-fMRI. Researchers will compare the pretreatment and post-treatment rs-fMRIs to see if there are changes in the participant's functional connectivity including seizure networks and typical resting state networks.