Serum uric acid predicts incident metabolic syndrome in the elderly in an analysis of the Brisighella Heart Study

Abstract 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 a...

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Autores principales: Arrigo Francesco Giuseppe Cicero, Federica Fogacci, Marina Giovannini, Elisa Grandi, Martina Rosticci, Sergio D’Addato, Claudio Borghi
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Publicado: Nature Portfolio 2018
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spelling oai:doaj.org-article:dc52300f4ca845faaae407fba40bd0b92021-12-02T15:08:16ZSerum uric acid predicts incident metabolic syndrome in the elderly in an analysis of the Brisighella Heart Study10.1038/s41598-018-29955-w2045-2322https://doaj.org/article/dc52300f4ca845faaae407fba40bd0b92018-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-29955-whttps://doaj.org/toc/2045-2322Abstract 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.Arrigo Francesco Giuseppe CiceroFederica FogacciMarina GiovanniniElisa GrandiMartina RosticciSergio D’AddatoClaudio BorghiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-6 (2018)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Arrigo Francesco Giuseppe Cicero
Federica Fogacci
Marina Giovannini
Elisa Grandi
Martina Rosticci
Sergio D’Addato
Claudio Borghi
Serum uric acid predicts incident metabolic syndrome in the elderly in an analysis of the Brisighella Heart Study
description Abstract 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 article
author Arrigo Francesco Giuseppe Cicero
Federica Fogacci
Marina Giovannini
Elisa Grandi
Martina Rosticci
Sergio D’Addato
Claudio Borghi
author_facet Arrigo Francesco Giuseppe Cicero
Federica Fogacci
Marina Giovannini
Elisa Grandi
Martina Rosticci
Sergio D’Addato
Claudio Borghi
author_sort Arrigo Francesco Giuseppe Cicero
title 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_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_sort serum uric acid predicts incident metabolic syndrome in the elderly in an analysis of the brisighella heart study
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/dc52300f4ca845faaae407fba40bd0b9
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