Please use this identifier to cite or link to this item: https://repositorio.ufrn.br/handle/123456789/31562
Title: Revisiting an unsolved problem – impact of SLICC criteria on the risk of metabolic syndrome
Authors: Lima Júnior, J. C.
Lemos, Telma Maria Araujo Moura
Azevedo, George Dantas de
Vilar, Maria José Pereira
Keywords: Humans;Metabolic Syndrome;Risk Factors;Severity of Illness Index
Issue Date: 11-Jul-2016
Publisher: SAGE Publications
Citation: LIMA-JÚNIOR, J. C. de; LEMOS, Telma Maria Araujo Moura; AZEVEDO, George Dantas de; VILAR, Maria José Pereira. Revisiting an unsolved problem – impact of SLICC criteria on the risk of metabolic syndrome. Lupus, [s. l.], v. 25, n. 13, p. 1505-1506, 11 jul. 2016. SAGE Publications. Disponível em: https://journals.sagepub.com/doi/10.1177/0961203316644332. Acesso em: 26 jun. 2020. http://dx.doi.org/10.1177/0961203316644332.
Portuguese Abstract: As with mostprevious studies on the prevalence of metabolicsyndrome (MetS) in systemic lupus erythematosus(SLE), in which the prevalence varies greatly, itwas found to be always greater than in non-lupus patients. MetS, a bundle of cardiovascular risk factors, is highly prevalent and associated with increased rate of cardiovascular events and death. Apart from these risk factors, MetS is closely correlated with inflammation. Not only are they related to each other, but the inflammatory burst also precedes the MetS. Was evaluated the influence of SLICC criteria and other disease-specific factors in the presentation of MetS. In order to evaluate these factors, It was conducted a cross-sectional pilot study with 59 women with SLE according to the American College Rheumatology (ACR) criteria at the rheumatology out patient clinic. Individuals with SLE had a higher prevalence of MetS (30.5%) than controls (20.5%), as shown previously. Despite this higher prevalence, there was no si-nificant association between the presence of SLE and whether individuals had MetS or not(p¼0.117). Via a binary logistic regression, was evaluated the chance of specific factors associated with SLE predicting the presence of MetS. No significant association was detected between MetS and any SLE specific factors.
URI: https://repositorio.ufrn.br/handle/123456789/31562
ISSN: 0961-2033
1477-0962
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