Cardiogenic shock
Cardiogenic shock is a serious life-threatening condition affecting almost 10% of patients suffering from acute coronary syndrome.
Despite recent improvements in diagnostic and treatment options, mortality remains incredibly high, reaching nearly 50%.
The ability to identify high-risk patients prior to the development of CS could allow pre-emptive measures, such as the implantation of pMCS, and thus prevent CS, leading to improved survival.
#STOPSHOCK
#STOPSHOCK is a novel, self-improving, A.I. based scoring system for the prediction of cardiogenic shock in patients with acute coronary syndrome.
About
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%.
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 is not only an isolated decrease in cardiac function but a rapidly progressing multiorgan dysfunction accompanied by severe cellular and metabolic abnormalities. The window for successful treatment is relatively narrow and when missed, even the elimination of underlying primary cause is not enough to reverse this vicious circle.
New
We will present at the 2024 ESC Acute CardioVascular Care in Athens, Greece.
The American Heart Association 2023 Paul Dudley White International Scholar Award for our abstract!
Our paper was published!
"Data processing pipeline for cardiogenic shock prediction using machine learning" Read HERE. 
What we accomplished so far
The first results presented at the 2022 ESC Acute CardioVascular Care congress received positive feedback.
After external validation our model showed an exciting predictive capability: AUC of 0.84 surpassing current validated CS models (e.g., the ORBI score).
We started an international cooperation not only in the framework of patient data collection, but also planning, design and management of the entire #STOPSHOCK project.
Our online cloud-based electronic case report form is up and running, continually tested and ready for final variable selection.
Online calculator is online.
Our smartphone applications (Android and iOS) for prospective model validation and data collection are in clinical testing.
#STOP SHOCK is designed to allow self-improvement. New potential CS predictors can be added and tested in the future ensuring that the model keeps pace with contemporary research.
ESC ACVC 2023, Marseille, France - our presentations:
- Machine learning score to predict cardiogenic shock in patients with myocardial infarction (#STOPSHOCK)
- A.I. - based prediction of cardiogenic shock
STOPSHOCK on A-CURE 2023!
STOP SHOCK: Artificial Intelligence Model for Prediction of Cardiogenic Shock and MCS use 
STOPSHOCK on AHA 2023, Philadelphia, PA - read our ABSTRACT
Support us
Sign-up your institution for prospective validation
Get access to dedicated STOP SHOCK smartphone applications and work with us on prospective validation and continuous model improvement.
Sign-up your institution for STOP SHOCK CS registry
Help with retrospective or prospective patient registration. Established ACS STOP SHOCK patient database will be available to all contributing members with STOP SHOCK not being the end but a beginning of international research cooperation on cardiogenic shock.
Download the app
Privacy Policy
Online calculator
For test use only. Manuscript with scientific evidence is currently in the publication process
#STOPSHOCK
Score To Predict SHOCK