Prevalence of metabolic syndrome and its associated factors in Chinese patients with ankylosing spondylitis

Meng Liu, Yukai Huang, Zhengping Huang, Qidang Huang, Xin Guo, Yunqing Wang, Weiming Deng, Zhixiang Huang, Tianwang LiDepartment of Rheumatology and Immunology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong, People’s Republic of ChinaPurpose: We assessed the prevalence...

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Autores principales: Liu M, Huang Y, Huang Z, Huang Q, Guo X, Wang Y, Deng W, Li T
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Publicado: Dove Medical Press 2019
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spelling oai:doaj.org-article:fececf48dfb54123834772c9d65f153d2021-12-02T03:22:01ZPrevalence of metabolic syndrome and its associated factors in Chinese patients with ankylosing spondylitis1178-7007https://doaj.org/article/fececf48dfb54123834772c9d65f153d2019-04-01T00:00:00Zhttps://www.dovepress.com/prevalence-of-metabolic-syndrome-and-its-associated-factors-in-chinese-peer-reviewed-article-DMSOhttps://doaj.org/toc/1178-7007Meng Liu, Yukai Huang, Zhengping Huang, Qidang Huang, Xin Guo, Yunqing Wang, Weiming Deng, Zhixiang Huang, Tianwang LiDepartment of Rheumatology and Immunology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong, People’s Republic of ChinaPurpose: We assessed the prevalence of metabolic syndrome (MetS) and associated factors in mainland Chinese patients with ankylosing spondylitis (AS).Patients and methods: A retrospective study was conducted in 117 AS patients and 117 age- and sex-matched healthy controls. Parameters of MetS based on the criteria established by the Chinese Diabetes Society in 2013 were tabulated. Demographic features, laboratory data, and clinical characteristics were also collected. Independent factors correlated with MetS in AS patients were identified by backward stepwise multivariate analysis.Results: The prevalence of MetS was higher in AS patients than in healthy controls (P= 0.026). AS patients also had higher blood pressure and fasting serum glucose levels, but generally lower serum lipid levels. AS patients with and without MetS had no distinct differences in disease duration, medication usage, disease activity, or biomarkers of inflammation. Multivariable logistic regression analysis showed that hyperuricemia (odds ratio [OR] = 2.385, 95% confidence interval [95% CI] = 1.019–5.582, P= 0.045) and high body mass index (BMI, OR = 5.165; 95% CI = 1.935–13.787, P=0.001) were independent factors for MetS in AS patients.Conclusion: Chinese AS patients living in the mainland have an increased risk of developing MetS. Hyperuricemia and high BMI are predictors of MetS in AS patients.Keywords: ankylosing spondylitis, metabolic syndrome, prevalence, hyperuricemiaLiu MHuang YHuang ZHuang QGuo XWang YDeng WHuang ZLi TDove Medical Pressarticleankylosing spondylitismetabolic syndromeprevalencehyperuricemiaSpecialties of internal medicineRC581-951ENDiabetes, Metabolic Syndrome and Obesity: Targets and Therapy, Vol Volume 12, Pp 477-484 (2019)
institution DOAJ
collection DOAJ
language EN
topic ankylosing spondylitis
metabolic syndrome
prevalence
hyperuricemia
Specialties of internal medicine
RC581-951
spellingShingle ankylosing spondylitis
metabolic syndrome
prevalence
hyperuricemia
Specialties of internal medicine
RC581-951
Liu M
Huang Y
Huang Z
Huang Q
Guo X
Wang Y
Deng W
Huang Z
Li T
Prevalence of metabolic syndrome and its associated factors in Chinese patients with ankylosing spondylitis
description Meng Liu, Yukai Huang, Zhengping Huang, Qidang Huang, Xin Guo, Yunqing Wang, Weiming Deng, Zhixiang Huang, Tianwang LiDepartment of Rheumatology and Immunology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong, People’s Republic of ChinaPurpose: We assessed the prevalence of metabolic syndrome (MetS) and associated factors in mainland Chinese patients with ankylosing spondylitis (AS).Patients and methods: A retrospective study was conducted in 117 AS patients and 117 age- and sex-matched healthy controls. Parameters of MetS based on the criteria established by the Chinese Diabetes Society in 2013 were tabulated. Demographic features, laboratory data, and clinical characteristics were also collected. Independent factors correlated with MetS in AS patients were identified by backward stepwise multivariate analysis.Results: The prevalence of MetS was higher in AS patients than in healthy controls (P= 0.026). AS patients also had higher blood pressure and fasting serum glucose levels, but generally lower serum lipid levels. AS patients with and without MetS had no distinct differences in disease duration, medication usage, disease activity, or biomarkers of inflammation. Multivariable logistic regression analysis showed that hyperuricemia (odds ratio [OR] = 2.385, 95% confidence interval [95% CI] = 1.019–5.582, P= 0.045) and high body mass index (BMI, OR = 5.165; 95% CI = 1.935–13.787, P=0.001) were independent factors for MetS in AS patients.Conclusion: Chinese AS patients living in the mainland have an increased risk of developing MetS. Hyperuricemia and high BMI are predictors of MetS in AS patients.Keywords: ankylosing spondylitis, metabolic syndrome, prevalence, hyperuricemia
format article
author Liu M
Huang Y
Huang Z
Huang Q
Guo X
Wang Y
Deng W
Huang Z
Li T
author_facet Liu M
Huang Y
Huang Z
Huang Q
Guo X
Wang Y
Deng W
Huang Z
Li T
author_sort Liu M
title Prevalence of metabolic syndrome and its associated factors in Chinese patients with ankylosing spondylitis
title_short Prevalence of metabolic syndrome and its associated factors in Chinese patients with ankylosing spondylitis
title_full Prevalence of metabolic syndrome and its associated factors in Chinese patients with ankylosing spondylitis
title_fullStr Prevalence of metabolic syndrome and its associated factors in Chinese patients with ankylosing spondylitis
title_full_unstemmed Prevalence of metabolic syndrome and its associated factors in Chinese patients with ankylosing spondylitis
title_sort prevalence of metabolic syndrome and its associated factors in chinese patients with ankylosing spondylitis
publisher Dove Medical Press
publishDate 2019
url https://doaj.org/article/fececf48dfb54123834772c9d65f153d
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