Cut-off values, sensitivity, and specificity of ROC curves for differential diagnosis of SA and TB.

*a. PRE-BMI and leptin: When we applied BMI and leptin to the logistic regression equation, if the prediction probability was positive (greater than or equal to the cutoff value: 0.5076), patients were diagnosed with sarcoidosis.*b. PRE-leptin and ICAM-1: When we applied leptin and ICAM-1 to the logistic regression equation, if the prediction probability was positive (greater than or equal to the cutoff value: 0.4080), patients were diagnosed with sarcoidosis.*c. PRE-BMI, leptin, and ICAM-1: When we applied BMI, leptin, and ICAM-1 to the logistic regression equation, if the prediction probability was positive (greater than or equal to the cutoff value: 0.3651), patients were diagnosed with sarcoidosis.Cut-off values, sensitivity, and specificity of ROC curves for differential diagnosis of SA and TB.