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Clinical Trial Overview
This study compared two methods for diagnosing chronic coronary syndrome (CCS) in patients experiencing chest pain. The methods were:
- Coronary Computed Tomographic Angiography (CCTA) followed by Invasive Coronary Angiography (ICA)
- Direct Invasive Coronary Angiography (ICA)
Study Design
A total of 1200 patients were included from TEDA International Cardiovascular Hospital between January 2021 and December 2022. They were randomly divided into two groups for the two different diagnostic approaches.
Key Findings
- Unnecessary Procedures: Unnecessary ICA procedures were significantly lower in the CCTA group (7.5%) compared to the ICA group (55.2%), showing an 86.4% reduction.
- Readmissions: Fewer patients in the CCTA group were readmitted for severe angina compared to the ICA group.
- Safety: No major cardiac events were reported in either group over one year.
- Costs: The average hospitalization cost was lower in the CCTA group ($1259.54) than in the ICA group ($1399.41), indicating a cost reduction of nearly 10%.
- Predictive Model: A risk prediction model was developed to help identify patients at high risk for obstructive coronary artery disease (CAD). This model was based on factors such as age, diabetes, and smoking history.
Practical Healthcare Solutions
Based on these results, the following practical solutions are recommended:
- Measurable Outcomes: Set clear goals for reducing unnecessary procedures and costs while maintaining patient safety and satisfaction.
- AI Tools: Select AI solutions that can help in predicting CAD risk and assessing patient data efficiently.
- Step-by-Step Implementation: Start with a pilot project to integrate CCTA as a screening method, track results, and expand based on findings.
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