02/09/2022
Early risk stratification is key to guide the management of patients with non-ST-segment elevation acute coronary syndromes (NSTE-ACS). F Wenzl et al. developed the improved machine learning-based GRACE 3.0 score which provides increased predictive performance and accounts for s*x differences in disease characteristics. Check out the full study (https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(22)01483-0/fulltext) led by the CMC and published in The Lancet (https://www.thelancet.com).
Summary Video (https://twitter.com/UZH_en/status/1564884215983915008)
Presentation at the ESC Congress 2022 (https://esc365.escardio.org/session/37132)
Communication by the University of Zurich (https://www.news.uzh.ch/en/articles/media/2022/Heart-Attack-Treatment.html)
Paper (https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(22)01483-0/fulltext)
Editorial Comment (https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(22)01607-5/fulltext
Florian Wenzl Simon Kraler European Society of Cardiology The Lancet UCL