BMC Cardiovascular Disorders (Nov 2021)

Association between baseline serum uric acid and development of LDL-C level in patients with first acute myocardial infarction

  • Yang Chen,
  • Congcong Ding,
  • Longlong Hu,
  • Yuehua Ruan,
  • Kai Zou,
  • Cong Dai,
  • Yanhui Liao,
  • Hanhui Liao,
  • Yi Xia,
  • Yuanbin Zhao,
  • Renqiang Yang

DOI
https://doi.org/10.1186/s12872-021-02383-x
Journal volume & issue
Vol. 21, no. 1
pp. 1 – 9

Abstract

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Abstract Background Data on the relationship of baseline serum uric acid (SUA) with development of low-density lipoprotein cholesterol (LDL-C) level in patients with first acute myocardial infarction (AMI) are limited. The present study is to evaluate whether elevated SUA predicts the development of LDL-C in the first AMI. Methods This is a retrospective 6-month cohort study of 475 hospitalized Chinese patients who underwent first AMI between January 2015 and December 2019 and were reevaluated half a year later at the Department of Cardiology, the Second Affiliated Hospital of Nanchang University, Jiangxi Province, China. The associations of baseline SUA with the percentage decrease of LDL-C (%) and LDL-C control were analyzed by using logistic regression analyses, multivariate linear regression analyses and the restricted cubic spline. Results Over the 6-month follow-up, baseline SUA was independently and positively associated with the percentage decrease of LDL-C (%) and LDL-C control in a dose response fashion. After multivariable adjustment, per SD increment of baseline SUA (120.58 μmol/L) was associated with 3.96% higher percentage decrease of LDL-C(%). The adjusted OR (95% CI) for LDL-C control was 5.62 (2.05, 15.36) when comparing the highest tertile (SUA ≥ 437.0 μmol/L) to the lowest tertile (< 341.7 μmol/L) of baseline SUA. Conclusions Among Chinese patients with first AMI, higher baseline SUA was associated with higher LDL-C deduction percentage (%), and higher rate of LDL-C control in the short-term follow-up, respectively. SUA acquired when AMI occurred was prone to be profitable in predicting the risk stratification of uncontrolled LDL-C and dyslipidemia management.

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