STRATEGY TO PREVENT CARDIOGENIC SHOCK
A novel machine-learning scoring system that can predict cardiogenic shock in acute coronary syndrome patients - enabling pre-emptive intervention and improved survival.
Cardiogenic shock is a serious, life-threatening condition affecting almost 10% of patients suffering from acute coronary syndrome. When untreated, it can rapidly progress causing collapse of circulation and sudden death.
Despite contemporary improvements in diagnostic and treatment options, mortality remains incredibly high, reaching nearly 50%. The window for successful treatment is relatively narrow - when missed, even eliminating the underlying primary cause is not enough to reverse this vicious circle.
Currently available mechanical circulatory support devices can replace the function of the heart and/or lungs, thereby essentially eliminating the primary cause. However, cardiogenic shock involves not only an isolated decrease in cardiac function but a rapidly progressing multiorgan dysfunction accompanied by severe cellular and metabolic abnormalities.
#STOPSHOCK is a novel AI-based scoring system for the prediction of cardiogenic shock in patients with acute coronary syndrome. The ability to identify high-risk patients prior to the development of CS might enable STOPSHOCK-guided triage, intensified monitoring strategies, and early intervention, including pre-emptive consideration of mechanical circulatory support.
MachineΒ learning-based clinical prediction tool for CS that uses variables available at first medical contact.
The model demonstrated strong prospective performance for early prediction of cardiogenic shock in both external validation dataset and a large multi-center prospective validation study in over 1000 patients.Β
Available as an online calculator and smartphone app for iOS and Android.
More than 40 leading clinical and research centers worldwide are part of the #STOPSHOCK initiative. Β
#STOPSHOCK was presented at the Late Breaking Science section at THT 2026!
Learn more βMachine-learning based scoring system to predict cardiogenic shock in acute coronary syndrome
Read the paper β#STOPSHOCK was chosen for the SHOCK TANK competition at the Transcatheter Heart Therapies 2025 conference.
Learn more βFor the very first time, groundbreaking original research from Slovakia was showcased in the prestigious ESC Late Breaking Science session.
View presentation βThe study garnered significant attention from Slovak mainstream media.
HNonline.sk article βAwarded for our abstract at the AHA 2023 Scientific Sessions in Philadelphia.
Learn more βWe invite clinicians and institutions worldwide to collaborate with us on prospective validation and continuous model improvement.
Get access to dedicated STOPSHOCK smartphone applications and work with us on prospective validation and continuous model improvement.
Sign Up βHelp with retrospective or prospective patient registration. The established ACS STOPSHOCK patient database will be available to all contributing members.
Join Registry βFor test use only.
Download the official STOPSHOCK app for instant access to the risk calculator at the bedside.