학술논문
Inflammatory risk and cardiovascular events in patients without obstructive coronary artery disease: the ORFAN multicentre, longitudinal cohort study
Document Type
Article
Author
Chan, Kenneth; Wahome, Elizabeth; Tsiachristas, Apostolos; Antonopoulos, Alexios S; Patel, Parijat; Lyasheva, Maria; Kingham, Lucy; West, Henry; Oikonomou, Evangelos K; Volpe, Lucrezia; Mavrogiannis, Michail C; Nicol, Edward; Mittal, Tarun K; Halborg, Thomas; Kotronias, Rafail A; Adlam, David; Modi, Bhavik; Rodrigues, Jonathan; Screaton, Nicholas; Kardos, Attila; Greenwood, John P; Sabharwal, Nikant; De Maria, Giovanni Luigi; Munir, Shahzad; McAlindon, Elisa; Sohan, Yogesh; Tomlins, Pete; Siddique, Muhammad; Kelion, Andrew; Shirodaria, Cheerag; Pugliese, Francesca; Petersen, Steffen E; Blankstein, Ron; Desai, Milind; Gersh, Bernard J; Achenbach, Stephan; Libby, Peter; Neubauer, Stefan; Channon, Keith M; Deanfield, John; Antoniades, Charalambos; Thomas, Sheena; Denton, Jon; Farral, Robyn; Taylor, Carolyn; Qin, Wendy; Kasongo, Mary; Anthony, Susan; Banning, Adrian; Xie, Cheng; Kharbanda, Rajesh K; Pritchard, Amy; Halborg, Thomas; Syed, Nigar; Fry, Sam; Mathers, Chris; Rose, Anne; Hudson, George; Bajaj, Amrita; Das, Intrajeet; Deshpande, Aparna; Rao, Praveen; Lawday, Dan; Mirsadraee, Saeed; Hudson, Benjamin; Berry, Colin; Marwan, Mohamed; Maurovich-Horvat, Pál; He, Guo-Wei; Lin, Wen-Hua; Fan, Li-Juan; Takahashi, Naohiko; Kondo, Hidekazu; Dai, Neng; Ge, Junbo; Koo, Bon-Kwon; Guglielmo, Marco; Pontone, Gianluca; Huck, Daniel; Benedek, Theodora; Rajani, Ronak; Vilic, Dijana; Aljazzaf, Haleema; Mun, Mak S; Benedetti, Giulia; Preston, Rebecca L; Raisi-Estabragh, Zahra; Connolly, Derek L; Sharma, Vinoda; Grenfell, Rebecca; Bradlow, William; Schmitt, Matthias; Serfaty, Fabiano; Gottlieb, Ilan; Neves, Mario FT; Newby, David E; Dweck, Marc R; Hatem, Stéphane; Redheuil, Alban; Benetos, Georgios; Beer, Meinrad; Granillo, Gastón AR; Selvanayagam, Joseph; Lopez-Jimenez, Francisco; De Bosscher, Ruben; Tavildari, Alain; Figtree, Gemma; Danad, Ibrahim; Shantouf, Ronney; Kietselaer, Bas; Tousoulis, Dimitris; Dangas, George; Mehta, Nehal N; Kontanidis, Christos; Kunadian, Vijay; Fairbairn, Timothy A
Source
The Lancet; June 2024, Vol. 403 Issue: 10444 p2606-2618, 13p
Subject
Language
ISSN
01406736; 1474547X
Abstract
Coronary computed tomography angiography (CCTA) is the first line investigation for chest pain, and it is used to guide revascularisation. However, the widespread adoption of CCTA has revealed a large group of individuals without obstructive coronary artery disease (CAD), with unclear prognosis and management. Measurement of coronary inflammation from CCTA using the perivascular fat attenuation index (FAI) Score could enable cardiovascular risk prediction and guide the management of individuals without obstructive CAD. The Oxford Risk Factors And Non-invasive imaging (ORFAN) study aimed to evaluate the risk profile and event rates among patients undergoing CCTA as part of routine clinical care in the UK National Health Service (NHS); to test the hypothesis that coronary arterial inflammation drives cardiac mortality or major adverse cardiac events (MACE) in patients with or without CAD; and to externally validate the performance of the previously trained artificial intelligence (AI)-Risk prognostic algorithm and the related AI-Risk classification system in a UK population.