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Uric acid in-hospital changes predict mortality in patients with acute myocardial infarction.
BACKGROUND AND AIMS: The prognostic impact of admission uric acid (UA) levels in patients with acute myocardial infarction (AMI) is controversial. We assessed the prognostic role of in-hospital UA changes in patients with AMI.
METHODS AND RESULTS: We studied 375 consecutive patients (320 males, mean age 62.6 years) with AMI (232 with ST elevation MI) within 12 h of symptoms' onset. UA levels were daily measured throughout hospitalization and their admission and peak values were recorded. End-points were 30-day and 1-year mortality. Mortality rate at 30 days was 7.2% and at 1 year 10.9%. Patients who died within 30 days exhibited higher peak UA (10.24 mg/dl vs. 7.06 mg/dl, p < 0.001) and absolute UA elevation (1.7 mg/dl vs. 0.7 mg/dl, p < 0.001). Optimal values for predicting 30-day mortality were 9.65 mg/dl for peak UA and 2.35 mg/dl for UA elevation. Concerning 1-year mortality, deceased patients had higher peak UA levels (9.71 mg/dl vs. 7 mg/dl, p < 0.001) and absolute UA elevation (1.5 mg/dl vs. 0.6 mg/dl, p < 0.001). Optimal values for predicting 1-year mortality were 9.55 mg/dl for peak UA and 1.1 mg/dl for UA elevation. With Cox regression analysis peak UA (adjHR 1.157, p = 0.030) and UA elevation (adjHR 1.288, p = 0.009) were independent predictors of 30-day mortality. Similarly, peak UA levels (adjHR 1.204, p = 0.001) and UA elevation (adjHR 1.213, p = 0.001) predicted 1-year mortality.
CONCLUSIONS: In patients with AMI peak rather than admission UA levels, and absolute in-hospital UA elevation predict both 30-day and 1-year mortality. Serial in-hospital UA measurements add prognostic information in AMI patients.
METHODS AND RESULTS: We studied 375 consecutive patients (320 males, mean age 62.6 years) with AMI (232 with ST elevation MI) within 12 h of symptoms' onset. UA levels were daily measured throughout hospitalization and their admission and peak values were recorded. End-points were 30-day and 1-year mortality. Mortality rate at 30 days was 7.2% and at 1 year 10.9%. Patients who died within 30 days exhibited higher peak UA (10.24 mg/dl vs. 7.06 mg/dl, p < 0.001) and absolute UA elevation (1.7 mg/dl vs. 0.7 mg/dl, p < 0.001). Optimal values for predicting 30-day mortality were 9.65 mg/dl for peak UA and 2.35 mg/dl for UA elevation. Concerning 1-year mortality, deceased patients had higher peak UA levels (9.71 mg/dl vs. 7 mg/dl, p < 0.001) and absolute UA elevation (1.5 mg/dl vs. 0.6 mg/dl, p < 0.001). Optimal values for predicting 1-year mortality were 9.55 mg/dl for peak UA and 1.1 mg/dl for UA elevation. With Cox regression analysis peak UA (adjHR 1.157, p = 0.030) and UA elevation (adjHR 1.288, p = 0.009) were independent predictors of 30-day mortality. Similarly, peak UA levels (adjHR 1.204, p = 0.001) and UA elevation (adjHR 1.213, p = 0.001) predicted 1-year mortality.
CONCLUSIONS: In patients with AMI peak rather than admission UA levels, and absolute in-hospital UA elevation predict both 30-day and 1-year mortality. Serial in-hospital UA measurements add prognostic information in AMI patients.
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