Models Predictive of Metabolic Syndrome Components in Obese Pediatric Patients

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• 作者：Rosa Ortega-Cortes^a ; ^{drarosyortegac@hotmail.com" class="auth_mail" title="E-mail the corresponding author} ; X&oacute ; chitl Trujillo^b ; Erika Fabiola Hurtado L&oacute ; pez^a ; Ana Laura L&oacute ; pez Beltrá ; n^c ; Cecilia Colunga Rodrí ; guez^d ; Juan Carlos Barrera-de Leon^d ; Alberto Tlacuilo-Parra^d
• 关键词：Insulin resistance ; Obesity ; Uric acid ; Waist circumference
• 刊名：Archives of Medical Research
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：47
• 期：1
• 页码：40-48
• 全文大小：220 K

文摘

Components of metabolic syndrome (MetS) are complications caused by abdominal obesity and insulin resistance (IR). Diagnosis of MetS by clinical indicators could help to identify patients at risk of cardiovascular disease and type 2 diabetes. We undertook this study to propose predictive indicators of MetS in obese children and adolescents.

Methods

ra0015">A cross-sectional study was carried out. After obtaining informed consent and the registration of the study with an institutional research committee, 172 obese patients from an Obesity Clinic, aged 6–15 years, were included. Variables included were waist circumference (WC), glucose, high-density lipoprotein (HDL), triglycerides (TGL), blood pressure, insulin resistance (by homeostatic model assessment HOMA-index), acanthosis nigricans (AN), uric acid, serum glutamic oxaloacetic transaminase (GOT) and alanine transaminase, and hepatic sonogram. International standards for age and sex variables were used. Multivariate analysis was applied.

Results

ra0020">Variables predicted components of MetS in children: HOMA-IR (insulin resistance by HOMA index) was increased by 2.4 in hepatic steatosis, by 0.6 for each unit of SUA (serum uric acid), and by 0.009 for every mg/dL of triglycerides. In adolescents, every cm of waist circumference increased systolic blood pressure by 0.6 mmHg, and each unit of SUA increased it by 2.9 mmHg.

Conclusions

ra0025">Serum uric acid and waist circumference are useful and accessible variables that can predict an increased risk of cardiovascular disease in obese pediatric patients.