Revisiting an unsolved problem – impact of SLICC criteria on the risk of metabolic syndrome
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRN |
Texto Completo: | https://repositorio.ufrn.br/handle/123456789/31562 |
Resumo: | 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. |
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Lima Júnior, J. C.Lemos, Telma Maria Araujo MouraAzevedo, George Dantas deVilar, Maria José Pereira2021-02-19T11:28:35Z2021-02-19T11:28:35Z2016-07-11LIMA-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/10.1177/0961203316644332.0961-20331477-0962https://repositorio.ufrn.br/handle/123456789/3156210.1177/0961203316644332SAGE PublicationsAttribution-NonCommercial 3.0 Brazilhttp://creativecommons.org/licenses/by-nc/3.0/br/info:eu-repo/semantics/openAccessHumansMetabolic SyndromeRisk FactorsSeverity of Illness IndexRevisiting an unsolved problem – impact of SLICC criteria on the risk of metabolic syndromeinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleAs 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.engreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNORIGINALSLICCRiskMetabolic_Azevedo_2016.pdfSLICCRiskMetabolic_Azevedo_2016.pdfapplication/pdf62707https://repositorio.ufrn.br/bitstream/123456789/31562/1/SLICCRiskMetabolic_Azevedo_2016.pdf5a25710445dfb7c9ee36d01ec9159905MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8920https://repositorio.ufrn.br/bitstream/123456789/31562/2/license_rdf728dfda2fa81b274c619d08d1dfc1a03MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/31562/3/license.txte9597aa2854d128fd968be5edc8a28d9MD53TEXTSLICCRiskMetabolic_Azevedo_2016.pdf.txtSLICCRiskMetabolic_Azevedo_2016.pdf.txtExtracted texttext/plain8320https://repositorio.ufrn.br/bitstream/123456789/31562/4/SLICCRiskMetabolic_Azevedo_2016.pdf.txt0f487f37609c5af7f90b39d3d1fe05d6MD54THUMBNAILSLICCRiskMetabolic_Azevedo_2016.pdf.jpgSLICCRiskMetabolic_Azevedo_2016.pdf.jpgGenerated Thumbnailimage/jpeg1772https://repositorio.ufrn.br/bitstream/123456789/31562/5/SLICCRiskMetabolic_Azevedo_2016.pdf.jpgabe7110d762de400d287cd89079e1797MD55123456789/315622021-02-21 05:32:02.173oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2021-02-21T08:32:02Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false |
dc.title.pt_BR.fl_str_mv |
Revisiting an unsolved problem – impact of SLICC criteria on the risk of metabolic syndrome |
title |
Revisiting an unsolved problem – impact of SLICC criteria on the risk of metabolic syndrome |
spellingShingle |
Revisiting an unsolved problem – impact of SLICC criteria on the risk of metabolic syndrome Lima Júnior, J. C. Humans Metabolic Syndrome Risk Factors Severity of Illness Index |
title_short |
Revisiting an unsolved problem – impact of SLICC criteria on the risk of metabolic syndrome |
title_full |
Revisiting an unsolved problem – impact of SLICC criteria on the risk of metabolic syndrome |
title_fullStr |
Revisiting an unsolved problem – impact of SLICC criteria on the risk of metabolic syndrome |
title_full_unstemmed |
Revisiting an unsolved problem – impact of SLICC criteria on the risk of metabolic syndrome |
title_sort |
Revisiting an unsolved problem – impact of SLICC criteria on the risk of metabolic syndrome |
author |
Lima Júnior, J. C. |
author_facet |
Lima Júnior, J. C. Lemos, Telma Maria Araujo Moura Azevedo, George Dantas de Vilar, Maria José Pereira |
author_role |
author |
author2 |
Lemos, Telma Maria Araujo Moura Azevedo, George Dantas de Vilar, Maria José Pereira |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Lima Júnior, J. C. Lemos, Telma Maria Araujo Moura Azevedo, George Dantas de Vilar, Maria José Pereira |
dc.subject.por.fl_str_mv |
Humans Metabolic Syndrome Risk Factors Severity of Illness Index |
topic |
Humans Metabolic Syndrome Risk Factors Severity of Illness Index |
description |
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. |
publishDate |
2016 |
dc.date.issued.fl_str_mv |
2016-07-11 |
dc.date.accessioned.fl_str_mv |
2021-02-19T11:28:35Z |
dc.date.available.fl_str_mv |
2021-02-19T11:28:35Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
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. |
dc.identifier.uri.fl_str_mv |
https://repositorio.ufrn.br/handle/123456789/31562 |
dc.identifier.issn.none.fl_str_mv |
0961-2033 1477-0962 |
dc.identifier.doi.none.fl_str_mv |
10.1177/0961203316644332 |
identifier_str_mv |
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. 0961-2033 1477-0962 10.1177/0961203316644332 |
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https://repositorio.ufrn.br/handle/123456789/31562 |
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eng |
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eng |
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Attribution-NonCommercial 3.0 Brazil http://creativecommons.org/licenses/by-nc/3.0/br/ |
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openAccess |
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SAGE Publications |
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SAGE Publications |
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