Implications of elevated troponin on time-to-surgery in non-ST elevation myocardial infarction (NIHR Health Informatics Collaborative: TROP-CABG study)
Year: 2022
Type: article
Study design: Observational Study
Authors: Umberto Benedetto, Shubhra Sinha, Abdulrahim Mulla, Benjamin Glampson, Jim Davies, Vasileios Panoulas, Sanjay Gautama, Dimitri Papadimitriou, Kerrie Woods, Paul Elliott, Harry Hemingway, Bryan Williams, Folkert W. Asselbergs, Narbeh Melikian, George Krasopoulos, Rana Sayeed, Olaf Wendler, Kamran Baig, Andrew Chukwuemeka, Gianni D. Angelini, Jonathan A.C. Sterne, Tom Johnson, Ajay M. Shah, Divaka Perera, Riyaz S. Patel, Rajesh Kharbanda, Keith M. Channon, Jamil Mayet, Amit Kaura
Institutions: University Hospitals Bristol NHS Foundation Trust, University of Bristol, University of Chieti-Pescara, NIHR Bristol Biomedical Research Centre, Imperial College Healthcare NHS Trust, Hammersmith Hospital, NIHR Imperial Biomedical Research Centre, Imperial College London, University of Oxford, NIHR Oxford Biomedical Research Centre, National Institute for Health and Care Research, Health Data Research UK, University College London Hospitals NHS Foundation Trust, UCL Biomedical Research Centre, University College London, King's College London, Guy's and St Thomas' NHS Foundation Trust, King's College Hospital NHS Foundation Trust, Guy's Hospital, St Thomas' Hospital
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: closed
Awards: G2907834127, G3327974904, NIHR Senior Investigator Award, Manufacture scale up of human pericyte progenitor cells for regenerative medicine, The BHF Field Marshal Earl Alexander Chair of Cardiovascular Medicine, Using unstructured echocardiography and electrocardiography data from multicentre electronic health record systems for big data analytics, Activation of the hypothalamo-pituitary- adrenal axis during cardiac surgery: the effect of surgical stress and cardiopulmonary bypass, Genetic and phenotypic risk factors for subsequent coronary heart disease events, The BHF-Turing Cardiovascular Data Science Awards (Second call): Machine learning for risk prediction in adult cardiac surgery in the United Kingdom (joint funding with The Alan Turing Institute), Cortisol profiles in the critically ill after cardiac surgery, Low frequency ventilation during cardiopulmonary bypass for lung protection: a randomised controlled trial
OpenAlex ID: W4224950710