Leptin as a predictor of metabolic syndrome in prepubertal children

Detalhes bibliográficos
Autor(a) principal: Madeira,Isabel
Data de Publicação: 2017
Outros Autores: Bordallo,Maria Alice, Rodrigues,Nádia Cristina, Carvalho,Cecilia, Gazolla,Fernanda, Collett-Solberg,Paulo, Medeiros,Clarice, Bordallo,Ana Paula, Borges,Marcos, Monteiro,Claudia, Ribeiro,Rebeca
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Arquivos de Endocrinologia e Metabolismo (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972017000100007
Resumo: ABSTRACT Objective Leptin has been suggested as a potential biomarker of cardiovascular risk. This paper aims to ascertain, based on a sample of prepubertal children, which serum leptin value best suited to identify metabolic syndrome (MS). Subjects and methods This observational, cross-sectional study recruited children from the outpatient pediatrics clinic, with the purpose of validating serum leptin level cutoffs to identify MS. All obese and overweight children who met eligibility criteria were included in the study, as was a sample of normal-weight children. The sample underwent clinical assessment and blood fasting glucose, lipid profile, insulin, and leptin were measured. Sensitivity and specificity were estimated for each leptin measurement, using MS as the outcome. These values were used to construct a receiver operating characteristic (ROC) curve. The association between MS and leptin was assessed using logistic models to predict MS. Results A total of 65 normal weight, 46 overweight, and 164 obese children were analyzed (160 boys, 115 girls; age: 93.7 ± 17.8 months). The most appropriate leptin cutoff was 13.4 ng/mL (sensitivity 67.6%; specificity 68.9%; accuracy 72.1%). The logistic model indicated that leptin levels above 13.4 ng/dL were significantly associated with MS and that, for every 1 ng/dL increase in leptin levels, the odds of MS increase by 3% (p = 0.002; OR 1.03; 95% CI 1.01-1.05). Conclusions Leptin may be a useful biomarker of cardiovascular risk in prepubertal children, with an optimal cutoff of 13.4 ng/mL. Identification of potential new risk markers for cardiovascular disease in children could contribute to the development of preventive strategies.
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spelling Leptin as a predictor of metabolic syndrome in prepubertal childrenChildrenROC curveleptinobesityinsulin resistanceABSTRACT Objective Leptin has been suggested as a potential biomarker of cardiovascular risk. This paper aims to ascertain, based on a sample of prepubertal children, which serum leptin value best suited to identify metabolic syndrome (MS). Subjects and methods This observational, cross-sectional study recruited children from the outpatient pediatrics clinic, with the purpose of validating serum leptin level cutoffs to identify MS. All obese and overweight children who met eligibility criteria were included in the study, as was a sample of normal-weight children. The sample underwent clinical assessment and blood fasting glucose, lipid profile, insulin, and leptin were measured. Sensitivity and specificity were estimated for each leptin measurement, using MS as the outcome. These values were used to construct a receiver operating characteristic (ROC) curve. The association between MS and leptin was assessed using logistic models to predict MS. Results A total of 65 normal weight, 46 overweight, and 164 obese children were analyzed (160 boys, 115 girls; age: 93.7 ± 17.8 months). The most appropriate leptin cutoff was 13.4 ng/mL (sensitivity 67.6%; specificity 68.9%; accuracy 72.1%). The logistic model indicated that leptin levels above 13.4 ng/dL were significantly associated with MS and that, for every 1 ng/dL increase in leptin levels, the odds of MS increase by 3% (p = 0.002; OR 1.03; 95% CI 1.01-1.05). Conclusions Leptin may be a useful biomarker of cardiovascular risk in prepubertal children, with an optimal cutoff of 13.4 ng/mL. Identification of potential new risk markers for cardiovascular disease in children could contribute to the development of preventive strategies.Sociedade Brasileira de Endocrinologia e Metabologia2017-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972017000100007Archives of Endocrinology and Metabolism v.61 n.1 2017reponame:Arquivos de Endocrinologia e Metabolismo (Online)instname:Sociedade Brasileira de Endocrinologia e Metabologia (SBEM)instacron:SBEM10.1590/2359-3997000000199info:eu-repo/semantics/openAccessMadeira,IsabelBordallo,Maria AliceRodrigues,Nádia CristinaCarvalho,CeciliaGazolla,FernandaCollett-Solberg,PauloMedeiros,ClariceBordallo,Ana PaulaBorges,MarcosMonteiro,ClaudiaRibeiro,Rebecaeng2017-02-20T00:00:00Zoai:scielo:S2359-39972017000100007Revistahttps://www.aem-sbem.com/https://old.scielo.br/oai/scielo-oai.php||aem.editorial.office@endocrino.org.br2359-42922359-3997opendoar:2017-02-20T00:00Arquivos de Endocrinologia e Metabolismo (Online) - Sociedade Brasileira de Endocrinologia e Metabologia (SBEM)false
dc.title.none.fl_str_mv Leptin as a predictor of metabolic syndrome in prepubertal children
title Leptin as a predictor of metabolic syndrome in prepubertal children
spellingShingle Leptin as a predictor of metabolic syndrome in prepubertal children
Madeira,Isabel
Children
ROC curve
leptin
obesity
insulin resistance
title_short Leptin as a predictor of metabolic syndrome in prepubertal children
title_full Leptin as a predictor of metabolic syndrome in prepubertal children
title_fullStr Leptin as a predictor of metabolic syndrome in prepubertal children
title_full_unstemmed Leptin as a predictor of metabolic syndrome in prepubertal children
title_sort Leptin as a predictor of metabolic syndrome in prepubertal children
author Madeira,Isabel
author_facet Madeira,Isabel
Bordallo,Maria Alice
Rodrigues,Nádia Cristina
Carvalho,Cecilia
Gazolla,Fernanda
Collett-Solberg,Paulo
Medeiros,Clarice
Bordallo,Ana Paula
Borges,Marcos
Monteiro,Claudia
Ribeiro,Rebeca
author_role author
author2 Bordallo,Maria Alice
Rodrigues,Nádia Cristina
Carvalho,Cecilia
Gazolla,Fernanda
Collett-Solberg,Paulo
Medeiros,Clarice
Bordallo,Ana Paula
Borges,Marcos
Monteiro,Claudia
Ribeiro,Rebeca
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Madeira,Isabel
Bordallo,Maria Alice
Rodrigues,Nádia Cristina
Carvalho,Cecilia
Gazolla,Fernanda
Collett-Solberg,Paulo
Medeiros,Clarice
Bordallo,Ana Paula
Borges,Marcos
Monteiro,Claudia
Ribeiro,Rebeca
dc.subject.por.fl_str_mv Children
ROC curve
leptin
obesity
insulin resistance
topic Children
ROC curve
leptin
obesity
insulin resistance
description ABSTRACT Objective Leptin has been suggested as a potential biomarker of cardiovascular risk. This paper aims to ascertain, based on a sample of prepubertal children, which serum leptin value best suited to identify metabolic syndrome (MS). Subjects and methods This observational, cross-sectional study recruited children from the outpatient pediatrics clinic, with the purpose of validating serum leptin level cutoffs to identify MS. All obese and overweight children who met eligibility criteria were included in the study, as was a sample of normal-weight children. The sample underwent clinical assessment and blood fasting glucose, lipid profile, insulin, and leptin were measured. Sensitivity and specificity were estimated for each leptin measurement, using MS as the outcome. These values were used to construct a receiver operating characteristic (ROC) curve. The association between MS and leptin was assessed using logistic models to predict MS. Results A total of 65 normal weight, 46 overweight, and 164 obese children were analyzed (160 boys, 115 girls; age: 93.7 ± 17.8 months). The most appropriate leptin cutoff was 13.4 ng/mL (sensitivity 67.6%; specificity 68.9%; accuracy 72.1%). The logistic model indicated that leptin levels above 13.4 ng/dL were significantly associated with MS and that, for every 1 ng/dL increase in leptin levels, the odds of MS increase by 3% (p = 0.002; OR 1.03; 95% CI 1.01-1.05). Conclusions Leptin may be a useful biomarker of cardiovascular risk in prepubertal children, with an optimal cutoff of 13.4 ng/mL. Identification of potential new risk markers for cardiovascular disease in children could contribute to the development of preventive strategies.
publishDate 2017
dc.date.none.fl_str_mv 2017-02-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972017000100007
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2359-3997000000199
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eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Sociedade Brasileira de Endocrinologia e Metabologia
publisher.none.fl_str_mv Sociedade Brasileira de Endocrinologia e Metabologia
dc.source.none.fl_str_mv Archives of Endocrinology and Metabolism v.61 n.1 2017
reponame:Arquivos de Endocrinologia e Metabolismo (Online)
instname:Sociedade Brasileira de Endocrinologia e Metabologia (SBEM)
instacron:SBEM
instname_str Sociedade Brasileira de Endocrinologia e Metabologia (SBEM)
instacron_str SBEM
institution SBEM
reponame_str Arquivos de Endocrinologia e Metabolismo (Online)
collection Arquivos de Endocrinologia e Metabolismo (Online)
repository.name.fl_str_mv Arquivos de Endocrinologia e Metabolismo (Online) - Sociedade Brasileira de Endocrinologia e Metabologia (SBEM)
repository.mail.fl_str_mv ||aem.editorial.office@endocrino.org.br
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