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Serum uric acid predicts incident metabolic syndrome in the elderly in an analysis of the Brisighella Heart Study
Several epidemiological studies report a positive correlation between hyperuricemia and metabolic syndrome (MetS) in adults, which hyperuricemic subjects seem to more easily develop. We aimed to verify if serum uric acid (SUA) concentrations were positively associated with MetS prevalence and middle...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6070523/ https://www.ncbi.nlm.nih.gov/pubmed/30068918 http://dx.doi.org/10.1038/s41598-018-29955-w |
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author | Cicero, Arrigo Francesco Giuseppe Fogacci, Federica Giovannini, Marina Grandi, Elisa Rosticci, Martina D’Addato, Sergio Borghi, Claudio |
author_facet | Cicero, Arrigo Francesco Giuseppe Fogacci, Federica Giovannini, Marina Grandi, Elisa Rosticci, Martina D’Addato, Sergio Borghi, Claudio |
author_sort | Cicero, Arrigo Francesco Giuseppe |
collection | PubMed |
description | Several epidemiological studies report a positive correlation between hyperuricemia and metabolic syndrome (MetS) in adults, which hyperuricemic subjects seem to more easily develop. We aimed to verify if serum uric acid (SUA) concentrations were positively associated with MetS prevalence and middle-term (4-year) incidence in older overall healthy subjects. We also purposed to identify which SUA cut-off values could be functional in MetS diagnosis in addition to the traditionally used parameters. For this reason, we selected from the historical cohort of the Brisighella Heart Study 923 older healthy subjects repeatedly visited during the 2008 and 2012 population surveys. In our sample, MetS was more frequent for higher SUA concentrations rather than the population’s mean in both men [OR = 2.12, 95%C.I.(1.55, 2.90)] and women [OR = 2.69,95%C.I.(1.91, 3.78)]. ROC analysis showed SUA was predictive of MetS in the whole population [AUC = 0.647, 95%C.I.(0.609, 0.686), P = 0.000001] and in both sex subgroups [men: AUC = 0.592, 95%C.I.(0.529, 654); P = 0.004; women: AUC = 0.758, 95%C.I.(0.711, 0.806), P < 0.000001], even there were sex-related differences in the best cut-off values (5.5 mg/dL for men; 4.2 mg/dL for women). Prospectively, SUA appeared predictive of middle-term (4-year) MetS incidence in the whole population (AUC = 0.604, 95%C.I.[0.518, 0.690], P = 0.029, best cut-off value = 4.7 mg/dL) and in the female group (AUC = 0,641, 95%C.I.[0.519, 0.762], P = 0.039, best cut-off value = 3.9 mg/dL) though not in the male one (P > 0.05). In conclusion, in our cohort, SUA is a frequent component of MetS, other than a middle-term predictor of newly diagnosed MetS in older women. |
format | Online Article Text |
id | pubmed-6070523 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60705232018-08-06 Serum uric acid predicts incident metabolic syndrome in the elderly in an analysis of the Brisighella Heart Study Cicero, Arrigo Francesco Giuseppe Fogacci, Federica Giovannini, Marina Grandi, Elisa Rosticci, Martina D’Addato, Sergio Borghi, Claudio Sci Rep Article Several epidemiological studies report a positive correlation between hyperuricemia and metabolic syndrome (MetS) in adults, which hyperuricemic subjects seem to more easily develop. We aimed to verify if serum uric acid (SUA) concentrations were positively associated with MetS prevalence and middle-term (4-year) incidence in older overall healthy subjects. We also purposed to identify which SUA cut-off values could be functional in MetS diagnosis in addition to the traditionally used parameters. For this reason, we selected from the historical cohort of the Brisighella Heart Study 923 older healthy subjects repeatedly visited during the 2008 and 2012 population surveys. In our sample, MetS was more frequent for higher SUA concentrations rather than the population’s mean in both men [OR = 2.12, 95%C.I.(1.55, 2.90)] and women [OR = 2.69,95%C.I.(1.91, 3.78)]. ROC analysis showed SUA was predictive of MetS in the whole population [AUC = 0.647, 95%C.I.(0.609, 0.686), P = 0.000001] and in both sex subgroups [men: AUC = 0.592, 95%C.I.(0.529, 654); P = 0.004; women: AUC = 0.758, 95%C.I.(0.711, 0.806), P < 0.000001], even there were sex-related differences in the best cut-off values (5.5 mg/dL for men; 4.2 mg/dL for women). Prospectively, SUA appeared predictive of middle-term (4-year) MetS incidence in the whole population (AUC = 0.604, 95%C.I.[0.518, 0.690], P = 0.029, best cut-off value = 4.7 mg/dL) and in the female group (AUC = 0,641, 95%C.I.[0.519, 0.762], P = 0.039, best cut-off value = 3.9 mg/dL) though not in the male one (P > 0.05). In conclusion, in our cohort, SUA is a frequent component of MetS, other than a middle-term predictor of newly diagnosed MetS in older women. Nature Publishing Group UK 2018-08-01 /pmc/articles/PMC6070523/ /pubmed/30068918 http://dx.doi.org/10.1038/s41598-018-29955-w Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Cicero, Arrigo Francesco Giuseppe Fogacci, Federica Giovannini, Marina Grandi, Elisa Rosticci, Martina D’Addato, Sergio Borghi, Claudio Serum uric acid predicts incident metabolic syndrome in the elderly in an analysis of the Brisighella Heart Study |
title | Serum uric acid predicts incident metabolic syndrome in the elderly in an analysis of the Brisighella Heart Study |
title_full | Serum uric acid predicts incident metabolic syndrome in the elderly in an analysis of the Brisighella Heart Study |
title_fullStr | Serum uric acid predicts incident metabolic syndrome in the elderly in an analysis of the Brisighella Heart Study |
title_full_unstemmed | Serum uric acid predicts incident metabolic syndrome in the elderly in an analysis of the Brisighella Heart Study |
title_short | Serum uric acid predicts incident metabolic syndrome in the elderly in an analysis of the Brisighella Heart Study |
title_sort | serum uric acid predicts incident metabolic syndrome in the elderly in an analysis of the brisighella heart study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6070523/ https://www.ncbi.nlm.nih.gov/pubmed/30068918 http://dx.doi.org/10.1038/s41598-018-29955-w |
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