OBJECTIVES: We aimed to investigate the relationship between the platelet-lymphocyte ratio (PLR) and coronary collateral circulation (CCC) in patients with stable angina pectoris (SAP) and chronic total occlusion (CTO). METHODS: A total of 294 patients with both SAP and CTO were classified according to their Rentrop collateral grades as either poor (Rentrop grades/0-1) or good (Rentrop grades/2-3). RESULTS: The PLR values were significantly higher in patients with poor CCC than in those with good CCC (156.8 + 30.7 vs 132.1 + 24.4, P < 0.001). In regression analysis, PLR (unit = 10) [odds ratio 1.48, 95% confidence interval (CI) 1.33 -1.65; P < 0.001] and high-sensitivity C-reactive protein were found to be the independent predictors of poor CCC. In receiver operator characteristic curve analysis, optimal cut-off value of PLR to predict poor CCC was found as 138.1, with 76% sensitivity and 65% specificity. CONCLUSION: PLR may be an important, simple, and cost effective tool predicting the degree of collateralization in patients with SAP and CTO.
OBJECTIVES: We aimed to investigate the relationship between the platelet-lymphocyte ratio (PLR) and coronary collateral circulation (CCC) in patients with stable angina pectoris (SAP) and chronic total occlusion (CTO). METHODS: A total of 294 patients with both SAP and CTO were classified according to their Rentrop collateral grades as either poor (Rentrop grades/0-1) or good (Rentrop grades/2-3). RESULTS: The PLR values were significantly higher in patients with poor CCC than in those with good CCC (156.8 + 30.7 vs 132.1 + 24.4, P < 0.001). In regression analysis, PLR (unit = 10) [odds ratio 1.48, 95% confidence interval (CI) 1.33 -1.65; P < 0.001] and high-sensitivity C-reactive protein were found to be the independent predictors of poor CCC. In receiver operator characteristic curve analysis, optimal cut-off value of PLR to predict poor CCC was found as 138.1, with 76% sensitivity and 65% specificity. CONCLUSION: PLR may be an important, simple, and cost effective tool predicting the degree of collateralization in patients with SAP and CTO.
Authors: Hasan Gungor; Abraham Samuel Babu; Cemil Zencir; Mahmut Akpek; Mithat Selvi; Muhammet Huseyin Erkan; Selim Durmaz Journal: Med Princ Pract Date: 2016-11-21 Impact factor: 1.927
Authors: Fatih Uzun; Mehmet Erturk; Huseyin Altug Cakmak; Ali Kemal Kalkan; Ibrahim Faruk Akturk; Ahmet Arif Yalcin; Begum Uygur; Umit Bulut; Kursat Oz Journal: Postepy Kardiol Interwencyjnej Date: 2017-03-10 Impact factor: 1.426