In this study, we will look back at past medical records to test how well two computer-based tools can help spot two types of heart disease: hypertrophic cardiomyopathy (HCM) and a form of cardiac amyloidosis called transthyretin amyloidosis (ATTR). One tool analyzes heart ultrasound images (echocardiograms) using artificial intelligence to identify signs of these conditions. The other tool looks at patterns in electronic health records—like diagnoses, test results, and medications—to flag patients who may have HCM or ATTR. Our goal is to see how accurate and useful these tools are in finding patients who may need further evaluation or care.
In this study, we will look back at past medical records to test how well two computer-based tools can help spot two types of heart disease: hypertrophic cardiomyopathy (HCM) and a form of cardiac amyloidosis called transthyretin amyloidosis (ATTR). One tool analyzes heart ultrasound images (echocardiograms) using artificial intelligence to identify signs of these conditions. The other tool looks at patterns in electronic health records—like diagnoses, test results, and medications—to flag patients who may have HCM or ATTR. Our goal is to see how accurate and useful these tools are in finding patients who may need further evaluation or care.
In this study, we will look back at past medical records to test how well two computer-based tools can help spot two types of heart disease: hypertrophic cardiomyopathy (HCM) and a form of cardiac amyloidosis called transthyretin amyloidosis (ATTR). One tool analyzes heart ultrasound images (echocardiograms) using artificial intelligence to identify signs of these conditions. The other tool looks at patterns in electronic health records—like diagnoses, test results, and medications—to flag patients who may have HCM or ATTR. Our goal is to see how accurate and useful these tools are in finding patients who may need further evaluation or care.
In this study, we will look back at past medical records to test how well two computer-based tools can help spot two types of heart disease: hypertrophic cardiomyopathy (HCM) and a form of cardiac amyloidosis called transthyretin amyloidosis (ATTR). One tool analyzes heart ultrasound images (echocardiograms) using artificial intelligence to identify signs of these conditions. The other tool looks at patterns in electronic health records—like diagnoses, test results, and medications—to flag patients who may have HCM or ATTR. Our goal is to see how accurate and useful these tools are in finding patients who may need further evaluation or care.
In this study, we will look back at past medical records to test how well two computer-based tools can help spot two types of heart disease: hypertrophic cardiomyopathy (HCM) and a form of cardiac amyloidosis called transthyretin amyloidosis (ATTR). One tool analyzes heart ultrasound images (echocardiograms) using artificial intelligence to identify signs of these conditions. The other tool looks at patterns in electronic health records—like diagnoses, test results, and medications—to flag patients who may have HCM or ATTR. Our goal is to see how accurate and useful these tools are in finding patients who may need further evaluation or care.
This study will have a 1:1:1 randomization post the implantation of the WATCHMAN DLX Pro Device comparing three different medications used after the WATCHMAN FLX Pro Device is placed. The goal of this study is to see how safe and effective the medications are after the device is placed. The three different arms include the following: Aspirin only for 12-month study duration, reduce dose non-vitamin K antagonist (VKA) oral anticoagulant (NOAC), either commercially available apixaban (preferred) or rivaroxaban for first 3-months, followed by aspirin, or Aspirin +clopidogrel) for first 6 months followed by aspirin only.
After leaving the hospital and finishing therapies, stroke survivors often do not have the supports they need to fully recover. Many live with problems for a long time after their stroke, such as trouble walking or doing everyday tasks like cleaning, grocery shopping, or cooking. Research suggests that healthy habits, like moving more, eating well, and being at a healthy weight, can improve most of these disabilities. These habits can be hard to form alone though, especially in rural areas that may not have many healthy foods or places to exercise. The goal of this research project is to test StrongPeople StrongHearts, a health program, to see if it helps stroke survivors in South Carolina make better choices for their health and improve their quality of life. The program will be delivered online so that survivors in rural areas can be in the program. One group will also receive a weekly grocery box tailored to their needs to improve access to healthy foods. This study could help increase access to research-based programs for stroke survivors who do not have the supports they did soon after their stroke.
This is a small, test study to see if mailing buprenorphine works for patients with opioid use disorder and a recent medical hospitalization. It tries to remove some of the existing barriers to make it easier to stay in treatment and make it easier for individuals to keep taking their medicine after discharge. The purpose of this research study is to determine if mailing buprenorphine is possible, acceptable, and look at the early results of how well it works.
Written Exposure Therapy (WET) is a five-session mental health therapy for post-traumatic stress disorder (PTSD). Research shows that it works as well as longer treatments for PTSD among people over 18, even though it requires fewer sessions than other PTSD therapies. However, WET has not been adapted and tested via telehealth with people aged 12 to 18. Our study aims to see how WET can be adapted to meet the needs of people aged 12 to 18 who have experienced trauma and currently have PTSD symptoms. To adapt WET for this age group, first we will talk with PTSD experts and people aged 12 to 18 to learn what changes might make WET more suitable for young people. We'll also deliver WET via telehealth to five people aged 12 to 18 following the manual as it is written for people over age 18 to see what needs adjusting. In the next part of the study, we will offer the adapted version of WET via telehealth to 20 people aged 12 to 18 in our MUSC integrated pediatric primary care clinic. People aged 12 to 18 will take part in five to seven weekly online therapy sessions and three virtual study visits (before therapy, after therapy, and one month later) to better understand who they are as a person and their current mental health symptoms and diagnoses. Individuals who are 18 can participate without caregiver permission; individuals aged 12 to 17 can only participate with caregiver permission. Our goal is to find the best way to provide effective PTSD treatment for young people that can be delivered in real-world pediatric primary care settings, so that ultimately more people can get the help they need after traumatic experiences.
This study is testing a new treatment for people with a dangerous heart rhythm problem called ventricular tachycardia (VT). VT can cause the heart to beat too fast, leading to fainting, heart failure, or even sudden death. Some people continue to have VT even after taking medicines and undergoing standard ablation procedures. For these patients, current treatment options are very limited.
The investigational treatment uses the Thermedical Ablation System with the Durablate™ catheter. This device delivers both heat and saline (salt water) deep into the heart muscle to target the areas causing abnormal rhythms. The goal is to safely and effectively reduce or eliminate VT episodes in patients who have not responded to other therapies.
About 130 patients will be enrolled at up to 25 hospitals in the U.S. and Canada. Participants will have the procedure and then be followed for six months with regular checkups to see if the treatment reduces their VT episodes and improves their quality of life. This study will help determine if the new system should be approved for wider clinical use.