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Associations of metal exposure with hyperuricemia and gout in general adults.
Xu, Jing; Zhu, Xu; Hui, Rutai; Xing, Yujie; Wang, Junkui; Shi, Shuang; Zhang, Yong; Zhu, Ling.
Afiliação
  • Xu J; Department of Cardiology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.
  • Zhu X; Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China.
  • Hui R; Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Xing Y; Department of Cardiology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.
  • Wang J; Department of Cardiology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.
  • Shi S; Department of Cardiology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.
  • Zhang Y; Department of Cardiology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.
  • Zhu L; Department of Cardiology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China.
Front Endocrinol (Lausanne) ; 13: 1052784, 2022.
Article em En | MEDLINE | ID: mdl-36531480
ABSTRACT

Background:

Epidemiological evidence of the associations between metal exposure and gout-related outcomes (including serum uric acid [SUA], hyperuricemia and gout) is scarce. The aim of the study is to investigate the associations of metal exposure with SUA, hyperuricemia and gout in general adults.

Methods:

In this study, the exposure to five blood metals (mercury, manganese, lead, cadmium and selenium) of general adults was analyzed based on the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2018 (n = 14,871). Linear, logistic and weighted quantile sum (WQS) regression models were applied to examine the associations of blood metals with gout-related outcomes. Possible dose-response relationships were analyzed through restricted cubic spline regression.

Results:

Compared with the lowest quartile of blood metals, mercury (quartile 2 and 4), lead (quartile 2, 3, and 4) and selenium (quartile 2 and 4) were found to be positively correlated with SUA and hyperuricemia. Higher levels of mercury and lead were associated with gout, but only those in the fourth quartile had statistical significance (OR [95%CI] 1.39 [1.10-1.75] and 1.905 [1.41-2.57]) respectively). The WQS index of the blood metals was independently correlated with SUA (ß [95%CI] 0.17 [0.13-0.20]), hyperuricemia (OR [95%CI] 1.29 [1.16-1.42]) and gout (OR [95%CI] 1.35 [1.15-1.58]). Among them, lead was the most heavily weighted component (weight = 0.589 for SUA, 0.482 for hyperuricemia, and 0.527 for gout). In addition, restricted cubic spline regression models showed a linear association of lead with the prevalence of hyperuricemia and gout.

Conclusion:

Our results suggested that blood metal mixtures were positively associated with gout-related outcomes, with the greatest effect coming from lead.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Selênio / Hiperuricemia / Gota / Mercúrio Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Front Endocrinol (Lausanne) Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Selênio / Hiperuricemia / Gota / Mercúrio Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Front Endocrinol (Lausanne) Ano de publicação: 2022 Tipo de documento: Article