Metabolic risk-factor clustering estimation in obese children

Area of Science:

• Pediatrics
• Metabolic Health
• Obesity Research

Background:

• Childhood obesity is a growing global health concern.
• Obese children are at increased risk for developing metabolic abnormalities and cardiovascular disease.
• Early identification of metabolic risk factors is crucial for timely intervention.

Purpose of the Study:

• To evaluate the utility of the new Metabolic Individual Risk-factor And Clustering Estimation (MIRACLE) score in Spanish obese children and adolescents.
• To assess the association between the MIRACLE score and other established metabolic risk factors.
• To determine the prevalence of metabolic risk using the MIRACLE score in this pediatric cohort.

Main Methods:

• A cohort of 153 Spanish children (mean age 11.2 years) with simple obesity was studied.
• The MIRACLE score was calculated based on family history, individual history, clinical features (BMI, waist circumference, blood pressure), and metabolic abnormalities (glucose intolerance, type 2 diabetes).
• Blood samples were analyzed for triglycerides, HDL-cholesterol, apolipoprotein B, apolipoprotein A1, glucose, and HOMA index.

Main Results:

• The most common clinical features were excess waist circumference (95.4%) and hypertension (41.8%).
• A significant proportion of children had family history of type 2 diabetes (55.3%), hypertension (39.1%), and early cardiovascular disease (31.3%).
• Glucose intolerance was detected in 22.2% of participants, and 37.4% met the criteria for metabolic risk (MIRACLE score ≥ 5), which was associated with dyslipidemia in females.

Conclusions:

• The MIRACLE score is a valuable tool for detecting metabolic risk in obese children.
• The score's predictive value for dyslipidemia was significant in females.
• Enhancements to the MIRACLE score, incorporating lipid profiles and insulin resistance indicators, are recommended for improved metabolic syndrome assessment in children.