Estudio de validación de cuatro diferentes criterios para el diagnóstico de síndrome metabólico en población infantil

Valdés-Villalpando, Yesika N; Campuzano, Julio César; Sánchez-Zamorano, Luisa María; Bermúdez-Morales, Víctor Hugo; Peralta‐Zaragoza, Oscar; Díaz-Benítez, Cinthya; Cruz, Miguel; Burguete-García, Ana I.

doi:10.18273/revsal.v50n2-2018004

Cited by 14 publications

(3 citation statements)

References 17 publications

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“…However, these prevalences of MetS between boys and girls can vary due to the variable prevalence of obesity present in different countries. 55 The higher prevalence of MetS in children observed in de Ferranti et al compared to NCEP-ATP III, Cook et al, and IDF in that order has also been observed in a study by Valdes-Villalpando et al 56 in a larger group of children and adolescents aged 6 to 16 years. In a review by Reisinger et al, 57 it has also been observed that the prevalence by de Ferranti et al's criteria and Cook et al's are higher than IDF's in both children and adolescents in some selected countries from America, Europe, Asia, and Africa, with information selected between 2013 and 2018.…”

Section: Prevalence Of Mets In Childrenmentioning

confidence: 66%

Criteria in the Diagnosis of Metabolic Syndrome in Children: A Scoping Review

Díaz-Ortega,

Yupari-Azabache,

Caballero Vidal

et al. 2023

DMSO

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Currently, there is no consensus on the criteria for identifying metabolic syndrome in children, as observed in the diversity of research developed. For this reason, a scoping review was developed in this work, in order to compare the criteria for the diagnosis of metabolic syndrome (MetS) applied in children, described in observational, descriptive cross-sectional studies. The databases PubMed, Scopus, Web of Science and the search engine Google Scholar were used. The search terms "metabolic syndrome", "cardiometabolic syndrome", "child", "children" and "childhood" were considered, as well as the names of organizations or authors proposing identification criteria for MetS to establish search relationships using the Boolean connectors "AND" and "OR". Likewise, two reviewers carried out the evaluation and selection of articles, of which 26 articles were included in which children aged 6 to 12 participated. It was found that the most commonly used criteria for identifying MetS since 2015 are those of Cook et al, IDF, NCEP ATPIII, and De Ferranti et al, in that order. Specific criteria, such as those proposed by Cook et al, are being chosen to enhance the accuracy of identifying MetS in children. The most common risk factors in children with MetS are abdominal circumference and BMI, followed by triglycerides, HDL, blood pressure, and blood glucose. The prevalence of MetS in children varies according to the criteria used, being higher with De Ferranti et al.

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Section: Prevalence Of Mets In Childrenmentioning

confidence: 66%

Criteria in the Diagnosis of Metabolic Syndrome in Children: A Scoping Review

Díaz-Ortega,

Yupari-Azabache,

Caballero Vidal

et al. 2023

DMSO

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“…In girls, a maximum prevalence of 32.6% was observed after applying the criteria of Cruz and Goran 11 and 3.4% when the criteria established by Weiss et al 7 are applied. According to Valdés‐Villalpando et al, 28 these differences can be explained at the different cut‐off points established in each criterion to assess body composition by means of WC or BMI using both percentiles and Z‐scores, together with different criteria for dyslipidemia values for TG and HDL‐c, using cut‐off points in percentiles or mg/dL, as well as different cut‐off points to define blood pressure levels. According to Weihe et al, 29 this great variability justifies the urgent need to validate criteria to allow uniformity for the diagnosis of MetS in the adolescent population.…”

Section: Discussionmentioning

confidence: 99%

Concordance among diagnostic criteria for metabolic syndrome is inconsistent in Spanish adolescents

Fernández-Aparicio

Perona

González‐Jiménez

2020

Eur J Clin Investigation

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Background The metabolic syndrome (MetS), although more frequent in adults, is a growing health problem in adolescent population. There are different criteria for the diagnosis, however without a consensus of which is the best to be used in this population. The heterogeneity of the different diagnostic criteria makes it necessary to carry out more studies that analyse the degree of agreement among these criteria. The present study was aimed to evaluate the agreement between different criteria for diagnosis of MetS in adolescents. Materials and methods A cross‐sectional study was performed on 981 adolescents (13.2 ± 1.2 years) randomly recruited from 18 schools in south‐east Spain. MetS was diagnosed by eight different criteria. Results The criteria proposed by the IDF showed the highest mean values for WC and systolic blood pressure in boys and girls with MetS, and the lowest for glucose and triglycerides in boys. Depending on the diagnostic criteria used, the prevalence of MetS cases in boys ranged from 5.5% to 14.9%, while in girls varied from 3.4% to 32.6%. Both in boys and girls, the criteria proposed by the IDF was the less concordant with the other suggested criteria, while those proposed by Duncan et al, Rodriguez‐Moran et al and Cruz and Goran, were very concordant among each other. However, in girls, concordance values were not as high as those found for boys. Conclusion The variability observed in the agreement among the existing criteria suggests the need to validate uniform criteria for the diagnosis of MetS in adolescents.

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“…Se ha intentado diagnosticar el síndrome metabólico según diferentes consensos, organizaciones o grupos científicos internacionales que han emitido diversos criterios de diagnóstico, entre los que se destacan el Programa Nacional de Educación en Colesterol -Adult Treatment Panel III (NCEP-ATP III), la Organización Mundial de la Salud, la Federación Internacional de Diabetes y el Grupo Europeo de Estudio de Resistencia a la Insulina (EGIR), entre otros 12 . Estos criterios diagnósticos varían según los autores y los comités de expertos, que intentan agrupar varios factores de riesgo basados en evidencia aplicable 5 .…”

Section: Introductionunclassified