Impact of renal dysfunction on clinical outcomes of acute coronary syndrome

Yonsei Med J. 2009 Aug 31;50(4):537-45. doi: 10.3349/ymj.2009.50.4.537. Epub 2009 Aug 19.

Abstract

Purpose: The present study aimed to compare the clinical outcomes and to investigate prognostic factors of acute coronary syndrome (ACS) in patients with renal dysfunction (RD).

Materials and methods: The study was a retrospective cohort of 648 adult patients admitted with ACS between October 2005 and December 2006. The estimated glomerular filtration rate (GFR) was classified into 4 levels: 1) normal, GFR greater than 90 mL/min/1.73 m(2); 2) mild RD, GFR of 60 to 90 mL/min/1.73 m(2); 3) moderate RD, GFR of 30 to 60 mL/min/1.73 m(2); and 4) severe RD, GFR less than 30 mL/min/1.73 m(2). Primary end points were death and complication in hospital courses. Secondary end points were major adverse cardiac event (MACE) during follow-up.

Results: The median follow-up was 505 +/- 183 days, the mean age was 63 +/- 12 years, and 71.8 percent of the group were men. A graded association was observed between severity of RD and clinical outcomes. Severe RD independently predicted MACE [hazard ratio, 2.731; 95% confidence interval (CI), 1.058 to 7.047, p = 0.038]. Low hemoglobin level was also an independent risk factor for MACE (hazard ratio, 1.155; 95% CI, 1.020 to 1.307, p = 0.022). Use of lipid-lowering therapy (hazard ratio, 0.456; 95% CI, 0.242 to 0.857, p = 0.015) was associated with reduced risk for MACE.

Conclusion: Severe RD and low hemoglobin level were an independent risk factors for the mortality and complications of ACS, while lipid-lowering therapy was associated with reduced risk.

Keywords: Acute coronary syndrome; glomerular filtration rate; risk factors.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acute Coronary Syndrome / pathology*
  • Aged
  • Coronary Angiography
  • Female
  • Glomerular Filtration Rate / physiology
  • Humans
  • Kidney Diseases / physiopathology*
  • Kidney Function Tests
  • Male
  • Middle Aged
  • Proportional Hazards Models
  • Retrospective Studies
  • Risk Factors