Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis · 2013
The relation of platelet-lymphocyte ratio and coronary collateral circulation in patients with stable angina pectoris and chronic total occlusion.
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Açar Göksel, Kalkan Mehmet Emin, Avci Anıl, Alizade Elnur, Tabakci Mehmet Mustafa, Toprak Cüneyt, Özkan Birol, Alici Gökhan, Esen Ali Metin
Аннотация
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.
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.