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Untangling the complex relationships between incident gout risk, serum urate, and its comorbidities

BACKGROUND: Many gout comorbidities (e.g., hypertension) are correlated with serum urate. In this investigation, we identified risk factors (e.g., systolic blood pressure [SBP]), that (1) are associated with incident gout, (2) have effects on gout risk that cannot be fully explained by correlated di...

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Autores principales: Sun, Mengying, Vazquez, Ana I., Reynolds, Richard J., Singh, Jasvinder A., Reeves, Mathew, Merriman, Tony R., Gaffo, Angelo L., los Campos, Gustavo de
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5932762/
https://www.ncbi.nlm.nih.gov/pubmed/29720278
http://dx.doi.org/10.1186/s13075-018-1558-3
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author Sun, Mengying
Vazquez, Ana I.
Reynolds, Richard J.
Singh, Jasvinder A.
Reeves, Mathew
Merriman, Tony R.
Gaffo, Angelo L.
los Campos, Gustavo de
author_facet Sun, Mengying
Vazquez, Ana I.
Reynolds, Richard J.
Singh, Jasvinder A.
Reeves, Mathew
Merriman, Tony R.
Gaffo, Angelo L.
los Campos, Gustavo de
author_sort Sun, Mengying
collection PubMed
description BACKGROUND: Many gout comorbidities (e.g., hypertension) are correlated with serum urate. In this investigation, we identified risk factors (e.g., systolic blood pressure [SBP]), that (1) are associated with incident gout, (2) have effects on gout risk that cannot be fully explained by correlated differences in serum urate, and (3) may modulate the relationship between gout and serum urate. METHODS: Using data from the Atherosclerosis Risk in Communities (ARIC) study, we estimated the unadjusted associations between gout and risk factors by calculating ORs and using chi-square tests. The adjusted associations were analyzed using logistic regression by sequentially adding (1) one risk factor at a time or (2) all risk factors, to a baseline model that includes serum urate only. Stepwise selection was used to select main effects. Two-way interactions of variables from the main effects model were also analyzed. RESULTS: Average gout incidence was 2.7 per 1000 people per year. Serum urate was highly associated with incident gout, with odd ratios of 3.16 [95% CI 2.11, 4.76] and 25.9 [95% CI 17.2, 38.4] for moderately high (6–8 mg/dl) and high serum urate (> 8 mg/dl), relative to normal serum urate (< 6 mg/dl), respectively. Ethnicity and SBP were independently and additively associated with gout after accounting for serum urate levels. No significant interactions were found between serum urate and ethnicity or SBP. CONCLUSIONS: Ethnicity and hypertension are predictive of gout risk, and the associations cannot be fully explained by serum urate. For serum urate levels near the crystallization threshold (6–8 mg/dl) African Americans and people with hypertension are at two to three times greater risk for developing gout. The gout risk for this group appears to increase before the onset of severe hyperuricemia. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13075-018-1558-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-59327622018-05-09 Untangling the complex relationships between incident gout risk, serum urate, and its comorbidities Sun, Mengying Vazquez, Ana I. Reynolds, Richard J. Singh, Jasvinder A. Reeves, Mathew Merriman, Tony R. Gaffo, Angelo L. los Campos, Gustavo de Arthritis Res Ther Research Article BACKGROUND: Many gout comorbidities (e.g., hypertension) are correlated with serum urate. In this investigation, we identified risk factors (e.g., systolic blood pressure [SBP]), that (1) are associated with incident gout, (2) have effects on gout risk that cannot be fully explained by correlated differences in serum urate, and (3) may modulate the relationship between gout and serum urate. METHODS: Using data from the Atherosclerosis Risk in Communities (ARIC) study, we estimated the unadjusted associations between gout and risk factors by calculating ORs and using chi-square tests. The adjusted associations were analyzed using logistic regression by sequentially adding (1) one risk factor at a time or (2) all risk factors, to a baseline model that includes serum urate only. Stepwise selection was used to select main effects. Two-way interactions of variables from the main effects model were also analyzed. RESULTS: Average gout incidence was 2.7 per 1000 people per year. Serum urate was highly associated with incident gout, with odd ratios of 3.16 [95% CI 2.11, 4.76] and 25.9 [95% CI 17.2, 38.4] for moderately high (6–8 mg/dl) and high serum urate (> 8 mg/dl), relative to normal serum urate (< 6 mg/dl), respectively. Ethnicity and SBP were independently and additively associated with gout after accounting for serum urate levels. No significant interactions were found between serum urate and ethnicity or SBP. CONCLUSIONS: Ethnicity and hypertension are predictive of gout risk, and the associations cannot be fully explained by serum urate. For serum urate levels near the crystallization threshold (6–8 mg/dl) African Americans and people with hypertension are at two to three times greater risk for developing gout. The gout risk for this group appears to increase before the onset of severe hyperuricemia. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13075-018-1558-3) contains supplementary material, which is available to authorized users. BioMed Central 2018-05-03 2018 /pmc/articles/PMC5932762/ /pubmed/29720278 http://dx.doi.org/10.1186/s13075-018-1558-3 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Sun, Mengying
Vazquez, Ana I.
Reynolds, Richard J.
Singh, Jasvinder A.
Reeves, Mathew
Merriman, Tony R.
Gaffo, Angelo L.
los Campos, Gustavo de
Untangling the complex relationships between incident gout risk, serum urate, and its comorbidities
title Untangling the complex relationships between incident gout risk, serum urate, and its comorbidities
title_full Untangling the complex relationships between incident gout risk, serum urate, and its comorbidities
title_fullStr Untangling the complex relationships between incident gout risk, serum urate, and its comorbidities
title_full_unstemmed Untangling the complex relationships between incident gout risk, serum urate, and its comorbidities
title_short Untangling the complex relationships between incident gout risk, serum urate, and its comorbidities
title_sort untangling the complex relationships between incident gout risk, serum urate, and its comorbidities
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5932762/
https://www.ncbi.nlm.nih.gov/pubmed/29720278
http://dx.doi.org/10.1186/s13075-018-1558-3
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