Clinical Research Directory

Detection of Cerebral Ischemia With Artificial Intelligence.

In patients undergoing planned surgery for carotid tromendarterendectomy, a non-invasive device that registers heart rate variability is attached. Furthermore a non-invasive device that monitors cerebral oxygenation- near infrared spectroscopy as well as electroencephalography is also attached. At times when surgeons clamps the carotid artery, there will be a moment with controlled cerebral ischemia. This will be registered by the devices. The information obtained will be used to teach artificial intelligence what patterns are related to cerebral ischemia. The same procedure will be performed in patients undergoing ocklusive cerebral trombectomy, so the artificial intelligence will learn to recognize cerebral reperfusion.Blood samples will be drawn before and after cerebral ischemia may occur and will be analyzed for neurobiomarkers and cardiac biomarkers. To teach the algorithm patterns from anaesthesia and surgery in patients without pre existing neuronal injury, the same method will be applied to patients undergoing mixed abdominal surgery. This group will provide a better knowledge of neuro biomarker patterns during anesthesia and surgery.

CES1 Carriers in the PAPI Study

This study builds, in part, upon preliminary results generated as part of the Pharmacogenomics Anti-Platelet Intervention (PAPI) Study (NCT00799396). The purpose of this investigation is to assess the impact of genetic variation in the carboxylesterase 1 (CES1) on response to clopidogrel as well as dual antiplatelet therapy (i.e. clopidogrel and aspirin), as assessed by ex vivo platelet aggregometry, in healthy Amish individuals. The investigators hypothesize that participants who carry alleles that modify the activity or expression of CES1 will have altered response to clopidogrel as well as dual antiplatelet therapy.