Risk assessment score for drug eluting stent restenosis

Abstract

Aim. To evaluate most significant risk factors of stent restenosis in coated stents, to develop a logistic model and invent prediction score of restenosis for real clinical practice application.Material and methods. Totally, 126 patients included, age 40 to 75 y. o. with chronic coronary heart disease, who had undergone repeated coronary arteriography within 6 to 12 month after percutaneous intervention with drug eluting stents implantation. Patients were selected to 2 groups: with restenosis (n=53) and with the none (n=73). Assessment of 35 clinical, laboratory and angiographic properties was done with logistic regression analysis.Results. There were 4 main risk factors found for restenosis risk: type 2 diabetes, low diameter of stented artery (<2,75 mm), number of simultaneously implanted stents and increased rate of neutrophil to lymphocyte numbers. A logistic model was built that combinates the parameters. ROC-analysis showed high predictive value of the model (square under curve ROC 0,78, p<0,001). Based on the logistic model, a score was invented for prediction of restenosis probability for clinical practice introduction.Conclusion. The proposed score shows high predictive power and is easy in use, that make it suitable for clinical practice in assessment of the risk of coated stents restenosis.

Keywords

• drug eluting stents
• restenosis
• coronary heart disease
• restenosis risk prediction