Uric acid for diagnosis and risk stratification in suspected myocardial infarction

  • Karin Wildi
  • Philip Haaf
  • Tobias Reichlin
  • Resat Acemoglu
  • Jeannine Schneider
  • Cathrin Balmelli
  • Beatrice Drexler
  • Raphael Twerenbold
  • Tamina Mosimann
  • Miriam Reiter
  • Mira Mueller
  • Susanne Ernst
  • Paola Ballarino
  • Christa Zellweger
  • Berit Moehring
  • Carles Vilaplana
  • Heike Freidank
  • Christian Mueller

Abstract

Background: Hypoxia precedes cardiomyocyte necrosis in acute myocardial infarction (AMI). We therefore hypothesized that uric acid - as a marker of oxidative stress and hypoxia - might be useful in the early diagnosis and risk stratification of patients with suspected AMI. Materials and methods: In this prospective observational study, uric acid was measured at presentation in 892 consecutive patients presenting to the emergency department with suspected AMI. The final diagnosis was adjudicated by two independent cardiologists. Patients were followed 24 months regarding mortality. Primary outcome was the diagnosis of AMI, secondary outcome was short- and long-term mortality. Results: Uric acid at presentation was higher in patients with AMI than in patients without (372 μM vs. 336 μM; P < 0·001). The diagnostic accuracy of uric acid for AMI as quantified by the area under the receiver operating characteristic curve (AUC) was 0·60 (95%Cl 0·56-0·65). When added to cardiac troponin T (cTnT), uric acid significantly increased the AUC of cTnT from 0·89 (95%Cl 0·85-0·93) to 0·92 (95%Cl 0·89-0·95, P = 0·020 for comparison). Cumulative 24-month mortality rates were 2·2% in the first, 5·4% in the second and the third and 15·6% in the fourth quartile of uric acid (P < 0·001 for log-rank). Uric acid predicted 24-month mortality independently. Adding uric acid to TIMI and GRACE risk score improved their prognostic accuracy as shown by an integrated discrimination improvement of 0·04 (P = 0·007) respective 0·02 (P = 0·021). Conclusions: Uric acid, an inexpensive widely available biomarker, improves both the early diagnosis and risk stratification of patients with suspected AMI.

Bibliographical data

Original languageEnglish
ISSN0014-2972
DOIs
Publication statusPublished - 02.2013
Externally publishedYes