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. 2017 Nov 21;32(4):e22362. doi: 10.1002/jcla.22362

Figure 2.

Figure 2

ROC curves, calculated AUC values for NLR, cTnI, and NT‐proBNP levels, and optimal cut‐off value for NLR in predicting RVD. The optimal cut‐off value is 7.03 (sensitivity 83.3%, specificity 75.6%). AUC values were calculated as 0.803, 0.788, and 0.776 (95% CI: 0.730‐0.875, 0.712‐0.863, 0.699‐0.853, respectively. All P < .001). ROC = receiver operating characteristic, AUC = area under the curve, cTnI = cardiac troponin I, NT‐proBNP = N‐terminal pro‐brain natriuretic peptide, NLR = neutrophil‐to‐lymphocyte ratio