Objectives: The purpose of this study was to reveal different subgroups of patients with at least moderate risk of developing diabetes in the next 10 years, based on clustering of cardiovascular risk factors.

Methods: We performed a one-center cross-sectional study of adult patients (n = 109, median age 45 years) with Findrisc score of above 11 out of 26 maximum. We included in the cluster analysis anthropometrics, lipid and carbohydrate parameters obtained in oral glucose tolerance test (OGTT), insulin, C-peptide, creatinine, C-reactive protein, liver enzymes, beta-cell function, insulin sensitivity and insulin resistance (HOMA calculations). We also evaluated the atherogenic index of plasma (AIP).

Results: We identified three metabolic phenotypes of patients with at least moderate Findrisc score-one 'male' (cluster AM, n = 24), and two 'female' phenotypes (cluster AW, n = 9 and cluster BW, n = 76). Men were almost homogenous for their metabolic phenotype, with lower fat percentage than women (p < .05). Most of the women (cluster BW, n = 76) presented with better metabolic pattern i.e. lower insulin resistance, lower C-reactive protein, lower degree of obesity and visceral fat rating (p < .05), despite the higher fat percentage (p < .05). Some of the women, however, (cluster AW, n = 9) presented with parameters very similar to that of men (cluster AM) and significantly higher than in cluster BW. Despite the lack of significant differences in lipid parameters among clusters, AIP was significantly lower in cluster BW (p < .05).

Conclusion: Most of the women presented with clearly less unfavorable atherogenic risk than men. Two different phenotypes of obese women with at least moderate Findrisc score were revealed, and the level of inflammation seems to be the main discriminant factor. Larger prospective studies are required to elucidate whether those are really two different pathogenically phenotypes or if they belong to the same phenotype's continuum.

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http://dx.doi.org/10.1080/00325481.2016.1240590DOI Listing

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