Early Prediction of Severe Sepsis
To derive a biomarker to allow the identification of patients with confirmed sepsis, and risk stratify patients at risk of developing severe sepsis
A Prospective, multi-centre cohort observational study
Professor Tim Walsh, Critical Care Research Group
Professor Tim Walsh
Patients who present to the Emergency Department with suspected sepsis
http://www.ccm.mvm.ed.ac.uk/
http://www.cir.ed.ac.uk/
Specialist Trainee Emergency Medicine
Lead Research Nurse
Assisting in identifying patients with Humeral shaft fractures in the ED by screening.
Giving patient information sheets to introduce the study, so patient has had adequate time to read and make decision about going into the trial before going to the fracture clinic.
To determine the association between high-sensitivity cardiac troponin concentration and obstructive coronary artery disease in patients presenting to the Emergency Department with suspected acute coronary syndrome and cardiac troponin concentration within the normal reference range using CTCA.
To determine the association between high-sensitivity cardiac troponin concentration and obstructive coronary artery disease in patients presenting to the Emergency Department with suspected acute coronary syndrome and cardiac troponin concentration within the normal reference range using CTCA.