Figures & data
Table 1 Subject Characteristics
Table 2 ROC Analysis of NLR
Figure 1 Receiver operating characteristic (ROC) analysis of NLR. AUC was 72.6% (63.4%-81.8%). NLR optimal cut-off value was 5.12 (n=118).
![Figure 1 Receiver operating characteristic (ROC) analysis of NLR. AUC was 72.6% (63.4%-81.8%). NLR optimal cut-off value was 5.12 (n=118).](/cms/asset/bc0ef3bf-e890-4fba-9336-cbf6a7caefb1/djbm_a_12167130_f0001_c.jpg)
Figure 2 Sensitivity and specificity analysis of NLR. NLR optimal cut-off value was determined to be 5.12 (n=118).
![Figure 2 Sensitivity and specificity analysis of NLR. NLR optimal cut-off value was determined to be 5.12 (n=118).](/cms/asset/d75f6867-c58b-447b-8793-b5dcfe8688ff/djbm_a_12167130_f0002_c.jpg)
Table 3 ROC Analysis of D-Dimer
Table 4 ROC Analysis of NLR and D-Dimer
Figure 4 Receiver operating characteristic (ROC) analysis of NLR and D-dimer. AUC is 76.1% (67.3%–84.8%).
![Figure 4 Receiver operating characteristic (ROC) analysis of NLR and D-dimer. AUC is 76.1% (67.3%–84.8%).](/cms/asset/a47962b2-b433-43f6-8687-571519b7b7b2/djbm_a_12167130_f0004_c.jpg)
Table 5 Statistical Comparison of Obtained AUCs
Table 6 Sensitivity and Specificity of NLR and D-Dimer in Low Probability and High Probability Groups
Table 7 Univariate Analysis of Variables
Table 8 Step 1 of Multivariate Analysis with Interaction Variable
Table 9 Step 4 of Multivariate Analysis with Interaction Variable
Table 10 Best Model of Multivariate Analysis
Table 11 Hosmer and Lemeshow Test