AI Algorithms in Prediction of ACS Based on Leukocyte Properties

Launched by ROBOTDREAMS GMBH · Apr 22, 2024

Keywords

ClinConnect Summary

This clinical trial is studying whether artificial intelligence (AI) can help predict acute coronary syndrome (ACS), a serious heart condition, by analyzing information from white blood cells. The researchers want to see if the AI can provide results that are as accurate as a common blood test called high-sensitivity cardiac troponin (hs-cTn), which is typically used to diagnose ACS. The study will use health data and blood test results that have already been collected from participants who have stable angina (chest pain) or no chest pain but are undergoing a procedure called coronary angiography.

To be eligible for this study, participants need to be at least 18 years old and willing to give consent. They should not have elevated hs-cTn levels and must have had their blood samples taken under certain conditions before the angiography. Importantly, participants will not need to undergo any new tests specifically for this study, as their existing data will be used. This research aims to improve how ACS is diagnosed, potentially leading to better treatment outcomes for patients.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Male or Female, aged 18 years or above
• • Participant is willing and able to give informed consent for participation in the study
• • Subjects presenting without chest pain or with stable angina pectoris but without indication for revascularization during coronary angiography; identical evaluation results by review board required
• • Exclusion of elevated hs-cTn
• • Criteria for timing of blood sampling for collection of WBC and hs-cTn data need to be fulfilled (see 5.14)
• • o Subjects with no or stable angina pectoris must have provided WBC data and at least one hs-cTn value any time before start of coronary angiography.
• • Between initial blood sampling to collect WBC data and coronary angiography, the subject must not develop suspicion of ACS.
• Exclusion Criteria:
• • Age \< 18 years old
• • Subject refuses informed consent
• • Collection of WBC and hs-cTn data is not possible
• • Criteria for timing of blood sampling for collection of WBC and hs-cTn data cannot be fulfilled
• • Suspicion of ACS occurred in subjects with no or stable angina pectoris any time between initial blood sampling and start of coronary angiography