Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease (Jul 2016)
Reduced Kidney Function Is Associated With Cardiometabolic Risk Factors, Prevalent and Predicted Risk of Cardiovascular Disease in Chinese Adults: Results From the REACTION Study
- Jieli Lu,
- Yiming Mu,
- Qing Su,
- Lixin Shi,
- Chao Liu,
- Jiajun Zhao,
- Lulu Chen,
- Qiang Li,
- Tao Yang,
- Li Yan,
- Qin Wan,
- Shengli Wu,
- Yan Liu,
- Guixia Wang,
- Zuojie Luo,
- Xulei Tang,
- Gang Chen,
- Yanan Huo,
- Zhengnan Gao,
- Zhen Ye,
- Youmin Wang,
- Guijun Qin,
- Huacong Deng,
- Xuefeng Yu,
- Feixia Shen,
- Li Chen,
- Liebin Zhao,
- Jichao Sun,
- Wanwan Sun,
- Tiange Wang,
- Rui Du,
- Lin Lin,
- Meng Dai,
- Yu Xu,
- Min Xu,
- Yufang Bi,
- Shenghan Lai,
- Donghui Li,
- Weiqing Wang,
- Guang Ning
Affiliations
- Jieli Lu
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao‐Tong University School of Medicine, Shanghai, China
- Yiming Mu
- Chinese People's Liberation Army General Hospital, Beijing, China
- Qing Su
- Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
- Lixin Shi
- Affiliated Hospital of Guiyang Medical College, Guiyang, China
- Chao Liu
- Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, China
- Jiajun Zhao
- Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
- Lulu Chen
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Qiang Li
- The Second Affiliated Hospital of Harbin Medical University, Harbin, China
- Tao Yang
- The First Affiliated Hospital with Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Li Yan
- Sun Yat‐sen Memorial Hospital, Sun Yat‐sen University, Guangzhou, China
- Qin Wan
- The Affiliated Hospital of Luzhou Medical College, Luzhou, China
- Shengli Wu
- Karamay Municipal People's Hospital, Xinjiang, China
- Yan Liu
- The First Hospital of Jilin University, Changchun, China
- Guixia Wang
- The First Hospital of Jilin University, Changchun, China
- Zuojie Luo
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
- Xulei Tang
- The First Hospital of Lanzhou University, Lanzhou, China
- Gang Chen
- Fujian Provincial Hospital, Fujian Medical University, Fuzhou, China
- Yanan Huo
- Jiangxi People's Hospital, Nanchang, China
- Zhengnan Gao
- Dalian Municipal Central Hospital, Dalian, China
- Zhen Ye
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
- Youmin Wang
- The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Guijun Qin
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Huacong Deng
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Feixia Shen
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- Li Chen
- Qilu Hospital of Shandong University, Jinan, China
- Liebin Zhao
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao‐Tong University School of Medicine, Shanghai, China
- Jichao Sun
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao‐Tong University School of Medicine, Shanghai, China
- Wanwan Sun
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao‐Tong University School of Medicine, Shanghai, China
- Tiange Wang
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao‐Tong University School of Medicine, Shanghai, China
- Rui Du
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao‐Tong University School of Medicine, Shanghai, China
- Lin Lin
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao‐Tong University School of Medicine, Shanghai, China
- Meng Dai
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao‐Tong University School of Medicine, Shanghai, China
- Yu Xu
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao‐Tong University School of Medicine, Shanghai, China
- Min Xu
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao‐Tong University School of Medicine, Shanghai, China
- Yufang Bi
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao‐Tong University School of Medicine, Shanghai, China
- Shenghan Lai
- Johns Hopkins University School of Medicine, Baltimore, MD
- Donghui Li
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
- Weiqing Wang
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao‐Tong University School of Medicine, Shanghai, China
- Guang Ning
- State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao‐Tong University School of Medicine, Shanghai, China
- DOI
- https://doi.org/10.1161/JAHA.116.003328
- Journal volume & issue
-
Vol. 5,
no. 7
Abstract
BackgroundChronic kidney disease (CKD) increases cardiovascular disease (CVD) risk. However, the association of mildly reduced kidney function with CVD risk is unclear. Methods and ResultsThis study investigated the association of estimated glomerular filtration rate (eGFR) with prevalent CVDs, 10‐year Framingham risk for coronary heart disease (CHD), and 10‐year risk of atherosclerotic cardiovascular diseases (ASCVD) in 239 832 participants from the baseline of the Risk Evaluation of cAncers in Chinese diabeTic Individuals: a lONgitudinal study. With an interviewer‐assisted questionnaire, we collected information on CVD, including reported CHD, stroke, or myocardial infarction. Chronic Kidney Disease–Epidemiology Collaboration (CKD‐EPI) equation was used to calculate eGFR. Compared with individuals with normal eGFR (≥90 mL/min per 1.73 m2), those with decreased eGFR (75–89, 60–74, and <60 mL/min per 1.73 m2) had higher risk of prevalent obesity, diabetes mellitus, hypertension, and dyslipidemia in both men and women (P for trend all <0.001). Moreover, a significantly higher 10‐year Framingham risk for CHD and 10‐year risk for ASCVD was observed in both men and women with mildly decreased eGFR (60–89 mL/min per 1.73 m2). ConclusionsEven mildly reduced eGFR (under 90 mL/min per 1.73 m2) is associated with elevated 10‐year Framingham risk for CHD and 10‐year ASCVD risk among Chinese adults.
Keywords
- atherosclerotic cardiovascular diseases
- cardiovascular diseases
- estimated glomerular filtration rate
- Framingham Risk Score
- reduced kidney function
