Literature DB >> 30617009

Interrelations Between Serum Uric Acid, Silent Myocardial Infarction, and Mortality in the General Population.

Muhammad Imtiaz Ahmad1, Abhishek Dutta2, Muhammad Ali Anees3, Elsayed Z Soliman4.   

Abstract

Whether elevated uric acid (UA) is associated with silent myocardial infarction (SMI) or whether their joint association predicts an increased risk of mortality has not been explored. This analysis included 6,323 participants (58.4 ± 13.1 years, 53.9% women, and 49.7% Non-Hispanic whites) without clinical cardiovascular disease (CVD) from third National Health and Nutrition Examination Survey. SMI was defined as electrocardiographic evidence of myocardial infarction (MI) without a history of MI. Multivariable logistic regression model was used to examine the cross-sectional association between baseline UA and SMI. Cox-proportional hazard analysis was used to calculate hazard ratio (HR) with 95% confidence interval (CI) for the risk of all-cause and CVD mortality with UA in the absence and presence of SMI. The higher baseline level of UA was associated with higher odds of baseline SMI. The prevalence of SMI was 0.79%, 1.18%, 1.59%, and 2.27% across the UA quartiles respectively; multivariable-adjusted odds ratio (95% CI): 2.37 (1.11 to 5.08) comparing the upper with lower quartile. During a median follow up of 14 years, there were 1916 all-cause death of whom 774 were CVD deaths. Compared with participants with the lowest UA quartile values and without SMI, those with highest UA had a 29% increased the risk of all-cause mortality (multivariable-adjusted HR: [95% CI]: 1.29 [1.10 to 1.51]). This risk increased by 107% in the presence of SMI (multivariable-adjusted HR (95% CI): 2.07 (1.38 to 3.10)). Similar results were observed for CVD mortality. SMI carried an increased risk of all-cause and CVD mortality only in higher quartiles of UA. In conclusion, the strong association of UA with SMI and the additive effect of UA and SMI on mortality further support the potential role of UA as a marker of poor outcomes.
Copyright © 2018 Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 30617009     DOI: 10.1016/j.amjcard.2018.12.016

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  6 in total

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Journal:  Kidney Int Rep       Date:  2020-06-02

2.  Prognosis of unrecognised myocardial infarction determined by electrocardiography or cardiac magnetic resonance imaging: systematic review and meta-analysis.

Authors:  Yu Yang; Wensheng Li; Hailan Zhu; Xiong-Fei Pan; Yunzhao Hu; Clare Arnott; Weiyi Mai; Xiaoyan Cai; Yuli Huang
Journal:  BMJ       Date:  2020-05-07

3.  Association between serum uric acid and triglycerides in Chinese children and adolescents with short stature.

Authors:  Yuntian Chu; Qianqian Zhao; Mei Zhang; Bo Ban; Hongbing Tao
Journal:  Lipids Health Dis       Date:  2021-01-06       Impact factor: 3.876

4.  Hyperuricemia as a prognostic marker for long-term outcomes in patients with myocardial infarction with nonobstructive coronary arteries.

Authors:  Wenjian Ma; Side Gao; Sizhuang Huang; Jiansong Yuan; Mengyue Yu
Journal:  Nutr Metab (Lond)       Date:  2021-12-20       Impact factor: 4.169

5.  Influence of uric acid on the correlation between waist circumference and triglyceride glucose index: an analysis from CHARLS.

Authors:  Jia Zheng; Min Jiang; Yanxia Xie
Journal:  Lipids Health Dis       Date:  2021-04-30       Impact factor: 3.876

6.  The association of lipid ratios with hyperuricemia in a rural Chinese hypertensive population.

Authors:  Yu Yu; Tian Lan; Dandan Wang; Wangsheng Fang; Yu Tao; Minghui Li; Xiao Huang; Wei Zhou; Tao Wang; Lingjuan Zhu; Huihui Bao; Xiaoshu Cheng
Journal:  Lipids Health Dis       Date:  2021-09-29       Impact factor: 3.876

  6 in total

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