2021
DOI: 10.1177/10998004211050887
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Assessment of Different Atherogenic Indices as Predictors of Metabolic Syndrome in Spanish Adolescents

Abstract: Background: Inconsistent results due to age, ethnic, and geographic differences have been found on the predictive capacity of atherogenic indices in previous studies. The aim of this study was to assess the predictive value of 6 atherogenic indices for MetS in a Spanish adolescent population. Methods: A cross-sectional study was performed on 981 adolescents (13.2 ± 1.2y) that were randomly recruited from schools in Southeastern Spain. Anthropometric and biochemical parameters were evaluated to identify the pre… Show more

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Cited by 8 publications
(14 citation statements)
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“…Finally, the age of the evaluated population is another important factor. For example, TyG showed the highest AUC values to predict MS in adolescent boys and in girls this value was lower [36].…”
Section: Discussionmentioning
confidence: 99%
“…Finally, the age of the evaluated population is another important factor. For example, TyG showed the highest AUC values to predict MS in adolescent boys and in girls this value was lower [36].…”
Section: Discussionmentioning
confidence: 99%
“…However, several strengths need to be highlighted. To the best of our knowledge, this is the first study to evaluate the association between the MTMR9 rs2293855 polymorphisms, the genetic risk score, lipid markers and non‐traditional atherogenic indices which, according to the literature, have a higher predictive value for cardiovascular risk (Fernández‐Aparicio et al., 2022).…”
Section: Discussionmentioning
confidence: 99%
“…However, it is necessary to evaluate atherogenic indices, such as the LDL/HDL and TC/HDL ratios, plasma atherogenic index (PAI), atherogenic coefficient (AC) and the lipoprotein combined index (LCI). These indices have a greater predictive capacity for cardiovascular risk than the isolated traditional markers (Fernández‐Aparicio et al., 2022). The atherogenic risk assessment allows the identification of individuals at risk for the development of atherosclerosis, that is, the accumulation of lipids in the vessel walls, with the consequent development of an inflammatory process (Lawler et al., 2020).…”
Section: Introductionmentioning
confidence: 99%
“…More research is required to fully understand this forecasting ability. 37 The best diagnostic cutoff values for CAD and SS >23 were 2.035 and 2.23, respectively. Using AIP as a biomarker may help avoid CAD in Chinese patients.…”
Section: A Novel CV Predictive Biomarkermentioning
confidence: 92%