Title of article :
Usefulness of the Neutrophil-to-Lymphocyte Ratio to Predict Bare-Metal Stent Restenosis
Author/Authors :
Turak، نويسنده , , Osman and Ozcan، نويسنده , , F?rat and Isleyen، نويسنده , , Ahmet and Tok، نويسنده , , Derya and Sokmen، نويسنده , , Erdogan and Buyukkaya، نويسنده , , Eyup and Aydogdu، نويسنده , , Sinan and Akpek، نويسنده , , Mahmut and Kaya، نويسنده , , Mehmet G.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2012
Abstract :
Inflammation plays a crucial role in the pathogenesis of in-stent restenosis (ISR). Neutrophil-to-lymphocyte ratio (NLR) provides a simple method for assessment of inflammatory status and prognosis in patients with coronary artery disease. The aim of the present study was to investigate the predictive value of preprocedural NLR on development of ISR in patients undergoing coronary stent implantation. We retrospectively analyzed clinical, hematologic, and angiographic data of 624 patients (mean age 60.5 ± 10.2 years, 71.8% men) who had undergone coronary stent implantation and a further control coronary angiography owing to stable or unstable angina pectoris. Patients were divided into 3 tertiles based on preprocedural NLR. Restenosis occurred in 21 patients (10.1%) in the lowest tertile, in 62 (29.8%) in the middle tertile, and in 107 (51.4%) in the highest NLR tertile (p <0.001). Serum C-reactive protein levels were also significantly higher in patients in tertile 3 than in those in tertiles 1 and 2 (p <0.001). Using multiple logistic regression analysis, smoking, diabetes mellitus, stent length, preprocedural NLR, and C-reactive protein levels emerged as independent predictors of ISR. In receiver operating characteristics curve analysis, NLR >2.73 had 80% sensitivity and 75% specificity in predicting ISR. In conclusion, high preprocedural NLR is a powerful and independent predictor of bare-metal stent restenosis in patients with stable and unstable angina pectoris.
Journal title :
American Journal of Cardiology
Journal title :
American Journal of Cardiology