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Predictive Markers of Early Cardiovascular Impairment and Insulin Resistance in Obese Pediatric Patients

Laura Mihaela Trandafir1, Elena Cojocaru2, Mihaela Moscalu3

  • 1Department of Mother and Child, Grigore T. Popa University of Medicine and Pharmacy, 700115 Iasi, Romania.

Diagnostics (Basel, Switzerland)
|April 30, 2021
PubMed

Insights

Pediatric obesity is linked to inflammation and insulin resistance. Body mass index (BMI) percentile effectively predicts these risks, aiding early cardiovascular disease detection in children.

Area of Science:

  • Pediatric Endocrinology
  • Metabolic Syndrome Research
  • Cardiovascular Risk Assessment

Background:

  • Childhood obesity prevalence is rising, increasing comorbidities.
  • Obesity in children contributes to adult health complications.
  • Early identification of at-risk pediatric patients is crucial.

Purpose of the Study:

  • Evaluate inflammation and insulin resistance markers in obese children.
  • Identify pediatric obesity markers predicting future complications.
  • Assess the predictive power of BMI percentile on these markers.

Main Methods:

  • Included 115 obese pediatric patients and 30 normal-weight controls.
  • Calculated Body Mass Index (BMI) and evaluated inflammatory markers (IL-6, ICAM, endotoxemia).
  • Assessed hormone profiles including insulin, HOMA index, and cortisol.

Main Results:

  • IL-6 and ICAM significantly correlated with glucose and BMI.
  • BMI percentile strongly predicted inflammatory markers (IL-6, ICAM, endotoxemia).
  • BMI percentile also significantly predicted insulin resistance markers (insulin, HOMA index).

Conclusions:

  • Early cardiovascular risk markers (IL-6, ICAM, endotoxemia) are vital in obese children.
  • These markers correlate with insulin resistance indicators (insulinemia, HOMA index).
  • BMI percentile is a significant predictor of metabolic markers for insulin resistance.
Abstract

Keywords:
cardiovascularcomorbiditiesinflammation markersinsulin resistance markersobese pediatric patients

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