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Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome
Published on: September 27, 2024
Metabolic syndrome in Mexican children: Low effectiveness of diagnostic definitions
Barbara Itzel Peña-Espinoza1, María de Los Ángeles Granados-Silvestre2, Katy Sánchez-Pozos2
1Laboratorio de Genómica de la Diabetes, Facultad de Química en la Unidad Académica de Ciencia y Tecnología de la UNAM, Yucatán, Mérida, Yucatán, México.
Insights
Diagnosing metabolic syndrome (MS) in children is challenging due to varied criteria. Including insulin resistance markers like HOMA-IR improves accuracy and identifies more at-risk youth.
Area of Science:
- Pediatric Endocrinology
- Metabolic Disorders
- Public Health
Background:
- Early identification of metabolic syndrome (MS) in children is crucial for preventing adult diabetes and cardiovascular disease.
- Current diagnostic criteria for MS in children vary, leading to inconsistent detection and delayed preventive actions.
- Insulin resistance (IR) is a key factor in MS, necessitating the evaluation of markers such as HOMA-IR and metabolic index (MI).
Purpose of the Study:
- To compare the prevalence of MS in Mexican children using five different diagnostic definitions (IDF, NCEP-ATP-III, Cook, de Ferranti, Weiss).
- To assess the impact of incorporating insulin resistance markers (HOMA-IR and/or MI) into MS diagnostic criteria.
- To evaluate the effectiveness of current MS diagnostic criteria and identify areas for improvement in early detection.
Main Methods:
- A cross-sectional study involving 508 Mexican children aged 9–13 years from seven schools.
- Collection of somatometric, biochemical, and hormonal data, including HOMA-IR and MI.
- Analysis of MS prevalence across different definitions and assessment of agreement with and without IR markers.
Main Results:
- MS prevalence varied significantly (2.4–45.9%) depending on the definition used.
- Insulin resistance was present in 12.4–25.2% (HOMA-IR) and 4.0–16.3% (MI) of children not diagnosed with MS.
- Including HOMA-IR or MI in MS definitions increased prevalence (8.5–50.2% and 7.7–46.9% respectively) and improved agreement between criteria (kappa > 0.8).
Conclusions:
- Current criteria for diagnosing MS in Mexican children are poorly effective, evidenced by definition variability and undetected IR.
- Incorporating HOMA-IR and/or MI into MS diagnostic criteria enhances diagnostic agreement and reduces the likelihood of excluding at-risk children.
- Standardizing MS definitions with IR markers is essential for accurate prevalence estimation and effective intervention in pediatric populations.
Background:
Early identification of children with metabolic syndrome (MS) is essential to decrease the risk of developing diabetes and cardiovascular disease in adulthood. Detection of MS is however challenging because of the different definitions for diagnosis; as a result, preventive actions are not taken in some children at risk. The study objective was therefore to compare prevalence of MS in children according to the IDF, NCEP-ATP-III, Cook, de Ferranti and Weiss definitions, considering insulin resistance (IR) markers such as HOMA-IR and/or metabolic index (MI).
Methods:
A total of 508 Mexican children (aged 9 to 13 years) from seven schools were enrolled in a cross-sectional study. Somatometric, biochemical, and hormonal measurements were evaluated.
Results:
Frequency of MS was 2.4-45.9% depending on the definition used. Frequency of IR in children not diagnosed with MS was 12.4-25.2% using HOMA-IR and 4.0-16.3% using MI. When HOMA-IR or MI was included in each of the definitions, frequency of MS was 8.5-50.2% and 7.7-46.9% respectively. The kappa value including HOMA-IR and/or MI was greater than 0.8.
Conclusions:
This study demonstrated the poor effectiveness of the current criteria used to diagnose MS in Mexican children, as shown by the variability in the definitions and by the presence of IR in children who not diagnosed with MS. Inclusion of HOMA-IR and/or MI in definitions of MS (thus increasing agreement between them) decreases the chance of excluding children at risk and allows for MS prevalence between populations.
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