Related Experiment Video
Updated: Jul 4, 2026
A Murine Model of Stent Implantation in the Carotid Artery for the Study of Restenosis
Published on: May 14, 2013
Predictors of restenosis after coronary artery stenting
K Yoneyama1, A Tsuboya, M Kogo
1Health Service Center, Showa University, Tokyo, Japan. yoneyama@med.showa-u.ac.jp
Insights
This study identified key factors predicting restenosis after coronary artery stenting. A new Restenotic Index (RI) formula helps assess the risk of restenosis in patients undergoing stenting.
Area of Science:
- Cardiology
- Interventional Cardiology
- Biomedical Engineering
Background:
- Restenosis remains a significant complication following percutaneous coronary intervention (PCI) with coronary artery stenting.
- Predicting the risk of restenosis is crucial for optimizing patient management and improving long-term outcomes.
Purpose of the Study:
- To analyze the incidence of restenosis after coronary artery stenting.
- To identify independent predictors of restenosis.
- To develop a quantitative index for predicting restenosis risk.
Main Methods:
- A cohort of 181 patients (249 lesions) undergoing their first coronary artery stenting was analyzed.
- Multivariate analysis was employed to identify significant risk factors.
- A Restenotic Index (RI) formula was derived using identified predictors.
Main Results:
- Restenosis occurred in 89 patients (111 lesions).
- Significant independent predictors of restenosis included diabetes mellitus, creatinine (Cr) level, contrast medium volume, and stent diameter.
- The derived RI formula is: RI=exp (1.088xCr+0.909xdiabetes mellitus+0.871xcontrast medium+0.591xstent diameter).
Conclusions:
- The developed Restenotic Index (RI) offers a tool for predicting the risk of restenosis after coronary artery stenting.
- This index can aid clinicians in risk stratification and personalized treatment strategies.
Aim:
The aim of this study was to analyze restenosis after percutaneous coronary intervention, factors related to restenosis after coronary artery stenting and the degree of the risk of restenosis were evaluated.
Methods:
The study enrolled 181 patients (249 lesions) who underwent the first coronary artery stenting. Multivariate analysis was performed, and the restenotic index (RI) was calculated by combining the extracted predictors.
Results:
Among the 181 patients (249 lesions), restenosis occurred in 89 (111 lesions) and did not occur in 92 (138 lesions). Vascular revasculation was performed in 95 restenosed target lesions in 68 patients. The mean period of follow-up angiography after the procedures was 206 days in the restenosis group and 271 days in the non-restenosis group, i.e. significantly shorter in the restenosis group. As a result of multivariate analysis, diabetes mellitus, Cr level, amount of the contrast medium used and stent diameter were selected as significant factors that independently contributed to the restenosis after coronary artery stenting. By combining these factors, the RI was calculated by the following formula for the prediction of restenosis: RI=exp (1.088xCr+0.909xdiabetes mellitus+0.871xcontrast medium+0.591xstent diameter).
Conclusion:
The risk of restenosis after coronary artery stenting can be predicted to an extent according to the RI devised in this study.