Leptin as a predictor of metabolic syndrome in prepubertal children
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , , , , , |
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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Arquivos de Endocrinologia e Metabolismo (Online) |
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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 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972017000100007 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/2359-3997000000199 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
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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1752122514479251456 |