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Relationship between serum uric acid and clustering of cardiovascular disease risk factors and renal disorders among Shanghai population: a multicentre and cross-sectional study

OBJECTIVES: To estimate the current prevalence of cardiovascular disease risk factors (CRFs) and renal disorders across serum uric acid (SUA) quartiles, and evaluate the relationships between SUA and CRFs and renal diseases in Shanghai population. STUDY DESIGN: Observational, cross-sectional study....

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Autores principales: Tao, Min, Pi, Xiaoling, Ma, Xiaoyan, Shi, Yingfeng, Zhang, Yuzhen, Gu, Hongwei, Chi, Yongbin, Zhuang, Shougang, Liu, Na
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429858/
https://www.ncbi.nlm.nih.gov/pubmed/30826766
http://dx.doi.org/10.1136/bmjopen-2018-025453
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author Tao, Min
Pi, Xiaoling
Ma, Xiaoyan
Shi, Yingfeng
Zhang, Yuzhen
Gu, Hongwei
Chi, Yongbin
Zhuang, Shougang
Liu, Na
author_facet Tao, Min
Pi, Xiaoling
Ma, Xiaoyan
Shi, Yingfeng
Zhang, Yuzhen
Gu, Hongwei
Chi, Yongbin
Zhuang, Shougang
Liu, Na
author_sort Tao, Min
collection PubMed
description OBJECTIVES: To estimate the current prevalence of cardiovascular disease risk factors (CRFs) and renal disorders across serum uric acid (SUA) quartiles, and evaluate the relationships between SUA and CRFs and renal diseases in Shanghai population. STUDY DESIGN: Observational, cross-sectional study. SETTING: Data were obtained from the physical check-up of local residents at three hospitals in Shanghai. PARTICIPANTS: Residents were invited to take part in a physical check-up and provided informed consent. Exclusion criteria were diseases that resemble cancer, hepatic disease, and other coexisting illnesses including autoimmune kidney diseases and renal artery stenosis, individuals treated with xanthine oxidase inhibitors, and those with incomplete information. There are 26 768 individuals in our study. PRIMARY AND SECONDARY OUTCOME MEASURES: Hyperuricaemia was defined as SUA ≥7 mg/dL in men and ≥6 mg/dL in women or taking xanthine oxidase inhibitors. Subjects were divided into gender-specific quartiles. We estimate the prevalence of CRFs and renal disorders across SUA quartiles. The relationships between SUA and CRFs and renal disorders in both genders were evaluated using logistic regression analysis. RESULTS: There was a significant increase in the prevalence of major CRFs and renal diseases across SUA quartiles in a separate analysis among men and women (all p trend <0.001). After multiple adjustment, hyperuricaemia positively correlated with obesity (male OR=3.165, p<0.001; female OR=3.776, p<0.001), hypertension (male OR=1.341, p<0.001; female OR=1.289, p=0.006), dyslipidaemia (male OR=2.490, p<0.001; female OR=3.614, p<0.001), chronic kidney disease (male OR=7.081, p<0.001; female OR=11.571, p<0.001) and nephrolithiasis (male OR=1.469, p<0.001; female OR=1.242, p=0.041), but negatively correlated with diabetes mellitus (male OR=0.206, p<0.001; female OR=0.524, p<0.001). There was a stronger association between hyperuricaemia and clustered CRFs as well as chronic kidney disease in women than in men. CONCLUSIONS: In Shanghai population, concomitant with the elevated level of SUA, the prevalence of CRFs and renal diseases was rising. Hyperuricaemia was significantly associated with CRFs and renal disorders, especially in women.
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spelling pubmed-64298582019-04-05 Relationship between serum uric acid and clustering of cardiovascular disease risk factors and renal disorders among Shanghai population: a multicentre and cross-sectional study Tao, Min Pi, Xiaoling Ma, Xiaoyan Shi, Yingfeng Zhang, Yuzhen Gu, Hongwei Chi, Yongbin Zhuang, Shougang Liu, Na BMJ Open Epidemiology OBJECTIVES: To estimate the current prevalence of cardiovascular disease risk factors (CRFs) and renal disorders across serum uric acid (SUA) quartiles, and evaluate the relationships between SUA and CRFs and renal diseases in Shanghai population. STUDY DESIGN: Observational, cross-sectional study. SETTING: Data were obtained from the physical check-up of local residents at three hospitals in Shanghai. PARTICIPANTS: Residents were invited to take part in a physical check-up and provided informed consent. Exclusion criteria were diseases that resemble cancer, hepatic disease, and other coexisting illnesses including autoimmune kidney diseases and renal artery stenosis, individuals treated with xanthine oxidase inhibitors, and those with incomplete information. There are 26 768 individuals in our study. PRIMARY AND SECONDARY OUTCOME MEASURES: Hyperuricaemia was defined as SUA ≥7 mg/dL in men and ≥6 mg/dL in women or taking xanthine oxidase inhibitors. Subjects were divided into gender-specific quartiles. We estimate the prevalence of CRFs and renal disorders across SUA quartiles. The relationships between SUA and CRFs and renal disorders in both genders were evaluated using logistic regression analysis. RESULTS: There was a significant increase in the prevalence of major CRFs and renal diseases across SUA quartiles in a separate analysis among men and women (all p trend <0.001). After multiple adjustment, hyperuricaemia positively correlated with obesity (male OR=3.165, p<0.001; female OR=3.776, p<0.001), hypertension (male OR=1.341, p<0.001; female OR=1.289, p=0.006), dyslipidaemia (male OR=2.490, p<0.001; female OR=3.614, p<0.001), chronic kidney disease (male OR=7.081, p<0.001; female OR=11.571, p<0.001) and nephrolithiasis (male OR=1.469, p<0.001; female OR=1.242, p=0.041), but negatively correlated with diabetes mellitus (male OR=0.206, p<0.001; female OR=0.524, p<0.001). There was a stronger association between hyperuricaemia and clustered CRFs as well as chronic kidney disease in women than in men. CONCLUSIONS: In Shanghai population, concomitant with the elevated level of SUA, the prevalence of CRFs and renal diseases was rising. Hyperuricaemia was significantly associated with CRFs and renal disorders, especially in women. BMJ Publishing Group 2019-03-01 /pmc/articles/PMC6429858/ /pubmed/30826766 http://dx.doi.org/10.1136/bmjopen-2018-025453 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Epidemiology
Tao, Min
Pi, Xiaoling
Ma, Xiaoyan
Shi, Yingfeng
Zhang, Yuzhen
Gu, Hongwei
Chi, Yongbin
Zhuang, Shougang
Liu, Na
Relationship between serum uric acid and clustering of cardiovascular disease risk factors and renal disorders among Shanghai population: a multicentre and cross-sectional study
title Relationship between serum uric acid and clustering of cardiovascular disease risk factors and renal disorders among Shanghai population: a multicentre and cross-sectional study
title_full Relationship between serum uric acid and clustering of cardiovascular disease risk factors and renal disorders among Shanghai population: a multicentre and cross-sectional study
title_fullStr Relationship between serum uric acid and clustering of cardiovascular disease risk factors and renal disorders among Shanghai population: a multicentre and cross-sectional study
title_full_unstemmed Relationship between serum uric acid and clustering of cardiovascular disease risk factors and renal disorders among Shanghai population: a multicentre and cross-sectional study
title_short Relationship between serum uric acid and clustering of cardiovascular disease risk factors and renal disorders among Shanghai population: a multicentre and cross-sectional study
title_sort relationship between serum uric acid and clustering of cardiovascular disease risk factors and renal disorders among shanghai population: a multicentre and cross-sectional study
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429858/
https://www.ncbi.nlm.nih.gov/pubmed/30826766
http://dx.doi.org/10.1136/bmjopen-2018-025453
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