A comparison between insulin resistance scores parameters in identifying patients with metabolic syndrome

Abstract

As a consequence of the epidemic of obesity, prediction of metabolic syndrome (MetS) is relevant because of its subsequent association with type 2 diabetes and cardiovascular disease. Also, MetS is considered a state of insulin resistance (IR). This study aimed to evaluate the capacity of different indirect IR scores to identify patients with MetS, compared to standard criteria of MetS diagnosis. To the best of our knowledge, the cutoff values of these indexes, as indicators of MetS, in the Romanian population, have not been established. We used a non-parametric extension of the induced ROC regression methodology to determine the cutoff values of HOMA-IR, QUICKI, McAuley indexes, taking into account the MetS components instead of using 90th percentile criteria. Although HOMA is more commonly used in practice (probably due to its easy use), McAuley Score seems to have a better specificity in identifying patients with MetS. This is different between men and women; if in women, McAuley index has the highest sensitivity, in men, HOMA and QUICKI indexes have the highest sensitivity and specificity.

New Insights on the Relationship between Leptin, Ghrelin, and Leptin/Ghrelin Ratio Enforced by Body Mass Index in Obesity and Diabetes

“…Furthermore, we should mention the fact that, in men, the leptin/ghrelin ratio had a very good discriminatory capacity for metabolic syndrome (AUROC = 0.923). Compared to previous studies that evaluated other parameters (such as the leptin/adiponectin ratio, HOMA index, QUICKI index, McAuley index, triglycerides/HDL-cholesterol ratio, cholesterol/HDL-cholesterol ratio, different measurement in abdominal CT—[ 80 , 81 , 82 , 83 ]) for the prediction of metabolic syndrome, leptin/ghrelin appears to have at least as good, if not a better (in men) prediction capacity.…”