Objectives

Previous studies showed the association between the major adverse cardiovascular outcomes and both higher neutrophil and lower lymphocyte counts. Sufficient coronary collateral development has important preventive role against unstable angina pectoris, myocardial infarction, ventricular failure, ventricular aneurysm formation, fatal arrhythmia, need for hospitalization, cardiac morbidity and mortality. We aimed to investigate whether there is an association between the neutrophil-lymphocyte ratio (NLR) value and development of coronary collateral circulation (CCC) in patients with coronary chronic total occlusion (CTO).

Methods

A total of 274 patients with CTO were included in this study. Patients were then classified according to their Rentrop collateral grades as either poor (Rentrop grades 0-1) or good (Rentrop grades 2-3). Clinical information and analyses of blood samples were obtained from a review of the patients’ chart.

Statistical analysis: Statistical analysis was performed using the SPSS for Windows (version 19.0; SPSS Inc., Chicago, IL, USA). Continuous variables are expressed as mean ± SD; categorical variables were defined as percentages. The comparisons between the 2 CCC groups were performed by using the chi-square test for categorical variables. The differences between the continuous variables were compared using the Student’s t-test or Mann–Whitney U-test where appropriate.

Methods

A total of 274 patients with CTO were included in this study. Patients were then classified according to their Rentrop collateral grades as either poor (Rentrop grades 0-1) or good (Rentrop grades 2-3). Clinical information and analyses of blood samples were obtained from a review of the patients’ chart.

Statistical analysis: Statistical analysis was performed using the SPSS for Windows (version 19.0; SPSS Inc., Chicago, IL, USA). Continuous variables are expressed as mean ± SD; categorical variables were defined as percentages. The comparisons between the 2 CCC groups were performed by using the chi-square test for categorical variables. The differences between the continuous variables were compared using the Student’s t-test or Mann–Whitney U-test where appropriate.