Evaluation of biomarkers effi ciency in predictive and early diagnostics of acute kidney damage in acute coronary syndrome (pilot study)

Abstract

INTRODUCTION. Acute Kidney Injury (AKI) is a common complication of acute coronary syndromes (ACS), and associated with higher mortality and adverse outcomes. Despite advances in research over the past years, effective treatments for current AKI are not available. Prevention and early intervention remain the most effective strategies for AKI of any entity. THE AIM: This study aimed to explore a risk factors and biomarkers for predictive and early diagnostic of AKI in ACS.PATIENTS AND METHODS. Study was prospective and cohort, patients hospitalized with ACS in Pavlov First Saint Petersburg State Medical University were included. In case of exclusion of ACS, patients were determined in the comparison group, in case of confirmation of the diagnosis of ACS – in the study group. Biomaterial (blood and urine) was taken at admission (T1), 1 day after admission (T2) and 2 days after admission (T3). For the diagnosis of AKI, KDIGO 2012 criteria were used. The measured biomarkers at each point were NGAL, KIM-1, cystatin C, sST2, troponin I. RESULTS. The study included 73 patients, the diagnosis of ACS was confirmed in 40 patients and AKI development was in 15 patients, all from the ACS group. The most significant for predictive diagnosis was the assessment of the parameters of systemic hemodynamics and the severity of acute heart failure (AHF): heart rate>89 (AUC=0,798, p=0,001), GRACE Risk Score>133 (AUC=0,926, p=0,005). In evaluation the suitability of biomarkers in terms of prognostic diagnosis of AKI, urine NGAL>32 ng/ml (AUC=0,814 p=0,04) and sST2>23.4 ng/ml (AUC=0,718, p=0,02) showed the best results.CONCLUSIONS. In study of biomarkers efficiency, the use of urine sST2 and NGAL is most promising. Together with hemodynamic parameters, biomarkers have high predictive ability in the diagnosis of AKI in ACS.