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Use este identificador para citar ou linkar para este item: https://ri.ufs.br/jspui/handle/riufs/23370
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dc.contributor.authorGiuffrida, Fernando de Mello Almada-
dc.contributor.authorGuedes, Alexis Dourado-
dc.contributor.authorRocco, Eloá Roberta-
dc.contributor.authorMory, Denise Barretto-
dc.contributor.authorDualib, Patricia-
dc.contributor.authorMatos, Odelisa S.-
dc.contributor.authorChaves Fonseca, Reine Marie-
dc.contributor.authorCobas, Roberta Arnoldi-
dc.contributor.authorNegrato, Carlos Antonio-
dc.contributor.authorGomes, Marilia B.-
dc.date.accessioned2025-10-07T17:56:30Z-
dc.date.available2025-10-07T17:56:30Z-
dc.date.issued2012-
dc.identifier.citationGIUFFRIDA, F. M. A. et al. Heterogeneous behavior of lipids according to HbA1c levels undermines the plausibility of metabolic syndrome in type 1 diabetes: data from a nationwide multicenter survey. Cardiovascular Diabetology, London, v. 11, n. 156, 2012. Disponível em: https://cardiab.biomedcentral.com/articles/10.1186/1475-2840-11-156. Acesso em: 7 out. 2025.pt_BR
dc.identifier.issn1475-2840-
dc.identifier.urihttps://ri.ufs.br/jspui/handle/riufs/23370-
dc.languageengpt_BR
dc.publisherBioMed Centralpt_BR
dc.relation.ispartofCardiovascular Diabetologypt_BR
dc.subjectType 1 diabeteseng
dc.subjectMetabolic syndromeeng
dc.subjectDyslipidemiaeng
dc.subjectCardiovascular risk factoreng
dc.titleHeterogeneous behavior of lipids according to HbA1c levels undermines the plausibility of metabolic syndrome in type 1 diabetes: data from a nationwide multicenter surveypt_BR
dc.typeArtigopt_BR
dc.identifier.licenseCreative Commons Atribuição 2.0 Genérica (CC BY 2.0)pt_BR
dc.description.resumoBackground: Cardiovascular risk factors (CVRF) may cluster in type 1 diabetes, analogously to the metabolic syndrome described in type 2 diabetes. The threshold of HbA1c above which lipid variables start changing behavior is unclear. This study aims to 1) assess the behavior of dyslipidemia according to HbA1c values; 2) detect a threshold of HbA1c beyond which lipids start to change and 3) compare the clustering of lipids and other non-lipid CVRF among strata of HbA1c individuals with type 1 diabetes. Methods: Effects of HbA1c quintiles (1st: ≤7.4%; 2nd: 7.5-8.5%; 3rd: 8.6-9.6%; 4th: 9.7-11.3%; and 5th: >11.5%) and covariates (gender, BMI, blood pressure, insulin daily dose, lipids, statin use, diabetes duration) on dyslipidemia were studied in 1275 individuals from the Brazilian multi-centre type 1 diabetes study and 171 normal controls. Results: Body size and blood pressure were not correlated to lipids and glycemic control. OR (99% CI) for high-LDL were 2.07 (1.21-3.54) and 2.51 (1.46-4.31), in the 4th and 5th HbA1c quintiles, respectively. Hypertriglyceridemia increased in the 5th quintile of HbA1c, OR 2.76 (1.20-6.37). OR of low-HDL-cholesterol were 0.48 (0.24-0.98) and 0.41 (0.19-0.85) in the 3rd and 4th HbA1c quintiles, respectively. HDL-cholesterol correlated positively (0.437) with HbA1c in the 3rd quintile. HDL-cholesterol and insulin dose correlated inversely in all levels of glycemic control. Conclusions: Correlation of serum lipids with HbA1c is heterogeneous across the spectrum of glycemic control in type 1 diabetes individuals. LDL-cholesterol and triglycerides worsened alongside HbA1c with distinct thresholds. Association of lower HDL-cholesterol with higher daily insulin dose is consistent and it points out to a role of exogenous hyperinsulinemia in the pathophysiology of the CVRF clustering. These data suggest diverse pathophysiological processes depending on HbA1c, refuting a unified explanation for cardiovascular risk in type 1 diabetes.pt_BR
dc.description.localLondonpt_BR
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