Prospective Validation of the STOPSHOCK Score - Artificial Intelligence Based Predictive Scoring … (NCT07090382) | Clinical Trial Compass
By InvitationNot Applicable
Prospective Validation of the STOPSHOCK Score - Artificial Intelligence Based Predictive Scoring System to Identify the Risk of Developing Cardiogenic Shock (CS) in Patients Suffering From Acute Coronary Syndrome (ACS)
Slovakia1,046 participantsStarted 2025-06-01
Plain-language summary
Cardiogenic shock (CS) is a severe complication of acute coronary syndrome (ACS) with mortality approaching 50% despite the use of percutaneous mechanical circulatory support devices (pMCS). Identifying high-risk patients prior to the development of CS could allow pre-emptive use of pMCS possibly preventing CS. For this purpose, we derived and externally validated a machine learning score to predict in-hospital CS in patients with ACS with c-statistics: 0.844 (95% confidence interval, 0.841-0.847). STOPSCHOCK score is available as a web or smartphone application.
The aim of this study is to prospectively validate the STOPSHOCK score on a large cohort of ACS patients in a real- world clinical environment.
Who can participate
Age range
18 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Inclusion Criteria:
* Patients aged \>18 years.
* Admitted for acute coronary syndrome in CCU
Exclusion Criteria:
* Patients aged \< 18 years.
* Patients in CSWG-SCAI C, D or E CS the before the admission to CCU.
Questions worth asking your doctor
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
1This trial is testing an AI scoring tool called STOPSHOCK that predicts which ACS patients might develop cardiogenic shock — could my own risk profile make me someone whose data would be useful to this study, and what would my participation actually involve day-to-day?
2Since this trial is 'enrolling by invitation,' how does a patient get considered for inclusion, and is my care team already connected to the sites running this study?
3This study is focused on validating a prediction score rather than testing a new treatment — does that mean participating wouldn't change the actual care or interventions I receive for my ACS or PCI procedure?
4If the STOPSHOCK score identifies me as high-risk for cardiogenic shock, would that information be shared with my treating doctors in time to influence decisions during or after my PCI, or is the data only used for research purposes?
5Are there any privacy or data-sharing implications I should understand, given that this study involves AI-based analysis of my clinical information?
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
Questions for the trial coordinator
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
1What does taking part actually involve week to week — how many visits, where, and how long does each one take?
2What costs are covered by the study, and what might I have to pay for myself, including travel, parking, or time off work?
3What happens during screening, and what happens if the study team confirms I don't meet the criteria after those tests?
4Who pays for the scans, blood work, and other tests the trial requires — the study, my insurance, or me?
5How will being in the trial affect my regular care, and will my own doctor stay informed and involved?
6Can I leave the trial at any point if I change my mind, and what would happen to my care if I do?
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
What they're measuring
1
Discriminatory Power of the STOPSHOCK Score for Predicting Cardiogenic Shock
Timeframe: Up to hospital discharge (average of 14 days)