Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ LAReferencia - Red F...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
versions View all 1 versions
addClaim

Critérios diagnósticos de síndrome metabólica como fator de risco para Diabetes melito gestacional e hiperglicemia gestacional leve : estudo de validação diagnóstica e prevalência na gestação

Authors: Vernini, Joice Monaliza;

Critérios diagnósticos de síndrome metabólica como fator de risco para Diabetes melito gestacional e hiperglicemia gestacional leve : estudo de validação diagnóstica e prevalência na gestação

Abstract

BACKGROUND – Metabolic Syndrome (MS) has been associated with Mild Gestational Hyperglycemia (MGH) and Gestational Diabetes Mellitus (GDM). OBJECTIVE - To assess the role of MS diagnostic markers proposed in three different sets of guidelines in the prediction of hyperglycemia (MGH or GDM) in pregnancy. METHODS – This cross-sectional cohort study undertaken between March/2014-December/2016, included women with a singleton pregnancy and no hyperglycemia at gestational age (GA) 88 cm were identified as independent risk factors for MGH and GDM. Performance analysis identified new limits. Pregestational BMI≥25 kg/m2 (72.7/50.6%) and WC≥88 cm (78.1/43.9%) at GA<24 weeks; and TG≥125 mg/dL (97.7/17.8%) and BMI≥25 kg/m2 (81.4/45.0%) at GA≥24 weeks showed optimal Sensitivity/Specificity balance. CONCLUSION – MS diagnositic markers can independently predict risk, but new different thresholds showed better performance in predicting MGH and GDM. These results might help the implementation of primary preventive measures and the selective screening of hyperglycemia during pregnancy. Key words – Gestational diabetes mellitus, Metabolic Syndrome, risk prediction.

INTRODUÇÃO – Síndrome Metabólica (SM) está associada a gestações complicadas por Hiperglicemia Gestacional Leve (HGL) e Diabetes Melito Gestacional (DMG). OBJETIVO – Avaliar marcadores diagnósticos de SM, definidos por diferentes protocolos, na predição de HGL ou DMG. MÉTODO – Estudo de corte transversal, incluindo 506 mulheres, de gestação única e sem hiperglicemia, avaliadas na idade gestacional (IG) 88 cm foram FR independentes para HGL ou DMG. Pela análise de desempenho, novos limites foram identificados – na IG < 24 sem, IMC pré ≥ 25 kg/m2 (72,7/50,6%) e CC ≥ 88 cm (78,1/43,9%); na IG ≥ 24 sem, TG ≥ 125 mg/dL (97,7/17,8%) e IMC ≥ 25 Kg/m2 (81,4/45,0%) apresentaram o melhor balanço Sens/Esp. CONCLUSÃO – Este estudo definiu marcadores diagnósticos de SM como preditores de risco independentes, mas novos limites testados tiveram melhor desempenho na predição de HGL ou DMG. Estes resultados deverão auxiliar na instituição de medidas de prevenção primária ou no rastreamento seletivo de hiperglicemia na gestação.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Pós-graduação em Ginecologia, Obstetrícia e Mastologia - FMB

Processo FAPESP 12/51257-9

Country
Brazil
Keywords

Síndrome Metabólica, Metabolic Syndrome, DMG, risk prediction, predição de risco, Gestational diabetes mellitus

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Related to Research communities