“…The obtained values and their corresponding sensitivity, specificity, and positive and negative predictive values as determined by applying Bayes theorem 9 are given in Table 1. The optimal cutoff value for the mFramingham score was small at 2.5, which is in keeping with the reported observation that applying multiple major traditional risk factor assessment equations as recommended in the population at large results in a gross underestimation of plaque presence in RA 6,7 . Both the corresponding specificity and negative predictive values for the mFramingham score, as well as chemerin concentrations, were relatively large at 71.2% and 75.1%, and 72.9% and 68.2%, respectively, suggesting that patients with nonelevation of these measures are unlikely to experience high-risk atherosclerosis.…”