Prognostic value of albuminuria on 1-month mortality in acute myocardial infarction.

ABSTRACT

RATIONALE An increase in albuminuria occurs in the early days after acute myocardial infarction. The aim of this study was to assess the relation between albuminuria and 30-day mortality, as well as its incremental predictive value, on top of established prognostic parameters. METHODS AND RESULTS: Demographic, clinical, and biological characteristics at admission, as well as in-hospital treatments and 1-month survival, were recorded in 1,211 consecutive patients admitted for acute myocardial infarction. Albuminuria was assessed from an 8-hour overnight urine collection within the first 2 days using immunonephelemetry. The population was categorized into 3 groups according to albuminuria levels (<20, 20-200, and >200 microg/min). Among survivors on day 2, 52% (625/1,211) of patients had an albuminuria level <20 microg/min, 39% (477) between 20 and 200 microg/min, and 9% (109) >200 microg/min. High levels of albuminuria were associated with older age, peripheral vessel disease, systolic blood pressure, glucose, creatinine, troponin, B-type natriuretic peptide, and high-sensitivity C reactive protein levels, as well as use of angiography, angiotensin-converting enzyme inhibitors, and beta blockers. At 1 month, there was a significantly higher mortality rate in groups with higher albuminuria. After adjustment for baseline characteristics, patients with albuminuria level of >20 microg/min had a 2.7-fold higher 30-day mortality, and those with >200 microg/min had an almost 4-fold higher 30-day mortality compared to those with albuminuria level of <20 microg/min. The addition of albuminuria information improved the discrimination capacity of the model and the global risk prediction. CONCLUSIONS: Albuminuria level, taken as a quantitative or categorical variable, is an independent and powerful predictor of mortality after acute myocardial infarction.