ESPE2019 Poster Category 1 Fat, Metabolism and Obesity (2) (25 abstracts)
Continuous Score of Metabolic Syndrome (sSMp) in Chilean Pediatric Population is Associated with Insulin Resistance Parameters and Subclinical Endothelial Inflammation
Carolina Loureiro 1 , Gabriel Cavada 2 , Rodrigo Bancalari 3 , Andrea Vecchiola 1 , Alejandra Tapia 1 , René Baudrand 1 , Carmen Campino 1 , Cristian Carvajal 1 , Carlos Fardella 1 , Alejandro Martíinez 1 & Hernán García 1
1Pontificia Universidad Católica de Chile, Santiago, Chile. 2Universidad de Chile, Santiago, Chile. 3Santa Maria Clinic, Santiago, Chile
Introduction: The dichotomous nature of the definition of Metabolic Syndrome (MS) in both children and adults can under-diagnose subjects at risk and prevents adequate follow-up of therapeutic interventions. Recently, a continuous score of MS (sSMp) was validated in the pediatric population based on the IDF criteria for a population> 16 years.
Objectives: To apply sSMp in a Chilean pediatric population cohort and correlate it with parameters of Insulin Resistance and subclinical endothelial inflammation.
Subjects and Methods: We studied 385 subjects (47.2% women), of 11.5 ± 2.8 years of age. Anthropometry, systolic blood pressure (SBP) and diastolic blood pressure (DBP) were performed. Insulin, glycemia, triglycerides,HDLcol, LDLcol, GOT, GPT, IL6, PAI-1, usCRP, TNF-alpha and adiponectin were determined and the HOMA-IR was calculated. The sSMp was calculated according to the following formula: sSMp = 2x waist / height + Glicemia (mmmol / l) / 5.6+ Triglycerides (mmol / l) /1.7 + SBP / 130 - HDLcol (mmol / l) /1.02. Pearson correlation (R) was used to evaluate associations between the variables.
Results: 41.51% were overweight and 17.4% were obese. The waist / height ratio was 0.51 ± 0.07, SBP 112.5 ± 13.7 mmHg, blood glucose 85.8 ± 6.2 mg / dL, TG 77 ± 53.6 mg / dL, HDL 50.4 ± 12.1 mg / dL. sSMp correlated positively with age (R = 0.25 **), BMI (R = 0.5 **), PAD (R = 0.28 **), GPT (R = 0.268 **), Insulin (R=0.39**), glycemia (R=0.235**), HOMA (R=0.398**), IL6 (R0.13*), PAI-1 (R0.28 **), usCRP (R=0.22**), adiponectin (R=-0.3 **). **P<0.001, *P<0.05.
Conclusions: To our knowledge, this is the first study that validates sSMp and its association with parameters of Insulin resistance and subclinical endothelial inflammation in the pediatric population. The sSMp constituted by a numerical value represents a practical and simple way of predicting children and adolescents at cardiometabolic risk, escaping the dichotomous nature of the classic definition of MS. Future studies will be necessary to establish a cut-off point for the sSMP, capable of individually validating this prediction.
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