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Published on: September 22, 2023
Incremental predictive value for obstructive coronary artery disease by combination of Duke Clinical Score and
Kazuhisa Takamura1, Takeshi Kondo2, Shinichiro Fujimoto3
1Department of Cardiology, Graduate School of Medicine, Juntendo University, Tokyo, Japan k-takamu@juntendo.ac.jp.
Insights
Combining the Duke Clinical score (DCS) with the Agatston score significantly improves the diagnosis of obstructive coronary artery disease (CAD). This combined approach offers superior diagnostic performance compared to using either score alone for identifying significant blockages in heart arteries.
Area of Science:
- Cardiology
- Medical Imaging
- Diagnostic Performance Evaluation
Background:
- The Duke Clinical score (DCS) may overestimate pretest probability in obstructive coronary artery disease (CAD) assessment.
- The Agatston score, derived from low-radiation CT, quantifies coronary artery calcification.
- There is a need for improved diagnostic accuracy in identifying obstructive CAD.
Purpose of the Study:
- To evaluate if combining the Duke Clinical score (DCS) with the Agatston score enhances diagnostic performance for obstructive CAD.
- To compare the diagnostic utility of the combined score against individual scores.
Main Methods:
- Retrospective analysis of 3688 patients with suspected stable angina and no prior CAD.
- Coronary Computed Tomography Angiography (CCTA) was used to define obstructive CAD (>50% diameter stenosis).
- Diagnostic performance assessed using Receiver Operating Characteristic (ROC) curves, Area Under the Curve (AUC), Net Reclassification Improvement (NRI), and Integrated Discrimination Improvement (IDI).
Main Results:
- The combination of DCS and Agatston score achieved a significantly higher AUC (0.8057) compared to DCS alone (0.7137, P < 0.001).
- The combined score demonstrated significant improvements in NRI (0.8132) and IDI (0.1374) over DCS alone (P < 0.001).
- The combination also showed improved NRI (0.3522) and IDI (0.0287) compared to the Agatston score alone (P < 0.001).
Conclusions:
- The combination of DCS and Agatston score significantly improves diagnostic performance for obstructive CAD.
- This combined approach is superior to using either the DCS or Agatston score individually.
- The findings suggest a more accurate non-invasive method for diagnosing obstructive coronary artery disease.
Aims:
Recent study suggests that algorithms such as the Duke Clinical score (DCS) may overestimate the pretest probability. The Agatston score representing the grade of coronary artery calcification can be simply calculated from low-radiation exposure ECG-gated plain CT. In this study, we investigated whether or not more superior diagnostic performance for obstructive coronary artery disease (CAD) can be obtained by combining DCS with the Agatston score.
Methods And Results:
Of 3939 consecutive patients suspected of having stable angina without known CAD who underwent Coronary Computed Tomography Angiography (CCTA) as well as calculation of the DCS and Agatston score at our hospital, 3688 patients were selected as subjects. Obstructive CAD was defined as >50% diameter stenosis on CCTA; we investigated the diagnostic performance based on the area under the curve (AUC) of a receiver operating characteristic (ROC) curve, Net Reclassification Improvement (NRI), and Integrated Discrimination Improvement (IDI). The AUCs of ROCs prepared using the DCS alone and combination of the DCS and Agatston score were 0.7137 and 0.8057, respectively, showing that the diagnostic performance of the combination was significantly superior to DCS alone (P < 0.001). NRI was 0.8132 and IDI was 0.1374, showing that the diagnostic performance was improved by the combination of the DCS and Agatston score compared with DCS alone (P < 0.001). NRI (0.3522) and IDI (0.0287) were improved compared with those of the Agatston score alone (P < 0.001).
Conclusion:
The combination of the DCS and Agatston score improved the diagnostic performance for obstructive CAD compared with DCS alone and Agatston score.
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