P6358Novel biomarkers for prediction of acute cardiorenal syndrome
Abstract Objectives Acute kidney injury (AKI) is frequent event in patients with acute heart failure (AHF) and is associated with poor short and longterm outcome. Aim of the study was to decribe diagnostic yield of selected novel biomarkers in prediction of AKI in patients addmitted for AHF. Methods We performed a prospective cohort study of 72 consecutive patients (46/26 M/F) aged 69±10,3 years admitted for AHF. Renal damage was defined according to KDIGO guidelines. Patients were divided into two groups: AKI- (without renal injury, n=52) and AKI+ (with renal injury, n=20). Urine samples for AKI biomarkers measurements (NGAL, TIMP2, IGFBP7) were collected at admission. The ROC and linear logistic regression of new biomarkers and selected clinical variables was performed for evaluation of the AKI prediction. Results Patients with AKI + were older (median age: 75 vs. 64 years, p=0,01), had lower BMI (median: 28 vs. 29,5 kg/m2, p=0,04), were with higher proportion of patients with HF with reduced ejection fraction (55% vs 23,1%, p=0,01) and higher level of serum NTproBNP. Urinary NGAL at admission was significantly higher in the AKI+ compared to AKI – group (152 vs. 19,5 ng/ml, p <.0001); also median of u-TIMP-2 and u-IGFBP-7 in the AKI+ patients were significantly higher: 194,1 versus 42,5 ng/ml (p<0.0001) and 379 versus 92,4 pg/ml (p<0.0001) resp. Age, u-NGAL, u-TIMP2, u-IGFBP7, s-hemoglobin, NTproBNP and LVEF were associated with the development of AKI. Urine concentration IGFBP-7 performs the best for the prediction AKI (AUC 0,94). Conclusion Urine concentrations of NGAL, TIMP2, IGFBP7 at the time of admission for AHF predict developement of AKI. Age, NTproBNP, LVEF and s-hemoglobin are also associated with AKI in AHF patients. Acknowledgement/Funding Project was supported by Slovak Society of Cardiology research grant 2015-2018.