Relationship between serum uric acid, metabolic syndrome and resting heart rate in Chinese elderly

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• 作者：Ping Liu ; ^{lping@sdu.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Yunqi Jiang ; Juan Meng
• 关键词：ACEI ; angiotensin-converting enzyme inhibitor ; ARB ; angiotensin receptor blockers ; BMI ; body mass index ; BP ; blood pressure ; CCB ; calcium channel blocker ; hsCRP ; high-sensitivity C-reactive protein ; HbA1C ; glycated hemoglobin ; HDL-C ; high-density lipoprotein cholesterol ; IDF ; International Diabetes Federation ; LDL-C ; low density lipoprotein cholesterol ; MtS ; metabolic syndrome ; RHR ; resting heart rate ; ROC ; receiver&ndash ; operating characteristic ; SUA ; serum uric acid ; TG ; triglyceride ; TIA ; tra
• 刊名：Obesity Research & Clinical Practice
• 出版年：2016
• 出版时间：March-April 2016
• 年：2016
• 卷：10
• 期：2
• 页码：159-168
• 全文大小：578 K

文摘

Both serum uric acid (SUA) and resting heart rate (RHR) are positively associated with metabolic syndrome (MetS). However, little is known regarding the relationship between SUA and RHR. We aimed to investigate the relationship between SUA and RHR in the elderly with MetS.

Methods

With a retrospective observational analysis, 867 Chinese elderly subjects (437 males and 430 females) were divided into 4 groups according to SUA quartiles. We first investigated the relationship between SUA and MetS. Then we evaluated whether there is an independent association of SUA with RHR in these subjects.

Results

There were significant differences of MetS incidence in groups of Quartile 1–4 in male and female (all P < 0.01). Female had higher MtS incidence than male (53.49% versus 43.24%; P = 0.003). After adjusting age, sex and diuretics usage, SUA levels intimately correlate with RHR, creatinine, waist-to-height ratio, waist circumference, high-sensitivity C-reactive protein (hsCRP) and white blood cells (all r > 0.30, P < 0.05). When RHR exceeded 86 bpm, after adjusting for various known risk factors, Odds ratios of concomitant SUA level were 1.243, 1.908, and 2.194 in the second, third, and fourth urate quartile respectively compared to the first quartile. ROC curve analysis demonstrated statistically significant value of RHR for hyperuricemia diagnosis (area under the curve was 0.702 with 95% CI of 0.605–0.791, P = 0.000).

Conclusion

The SUA has significant correlation with RHR in MetS. RHR appears to be a potentially detective marker to predict the elevated SUA and cardio-metabolic risk in Chinese elderly.