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The biomarker sst2 is an independent predictor for acute kidney injury in patients with st segment elevation myocardial infarction

Session Poster Session 4

Speaker Associate Professor Irina Vishnevskaya

Event : Heart Failure 2018

  • Topic : basic science
  • Sub-topic : Basic Science - Cardiac Diseases
  • Session type : Poster Session

Authors : IR Vyshnevska (Kharkiv,UA), YV Hilova (Kharkiv,UA), OV Petyunina (Kharkiv,UA), MP Kopytsya (Kharkiv,UA)

Authors:
IR Vyshnevska1 , YV Hilova1 , OV Petyunina1 , MP Kopytsya1 , 1Government institution“L.T. Malaya Therapy National institute of the National academy of medical sci - Kharkiv - Ukraine ,

Citation:

The development of acute kidney injury (AKI) in patient with ST segment elevation myocardial infarction (STEMI) significantly associated with the adverse prognosis. In order to diagnose this condition in time the search for biomarkers is going. ST-2 is a novel and promising biomarker in the evaluation prognosis for STEMI patients with AKI.

Purpose: to determine the role of various markers in the development of AKI in patients with STEMI.

Methods: 103 STEMI patients were screened (75 male and 28 female), mean age was 61,85 ± 12,23 years. All patients had to undergo baseline investigations, including the level of serum creatinine; the glomerular filtration rate (GFR) was estimated using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) formula. Accordingly, to the result, a group of patients has been selected (n= 59), their creatinine level was determined during the first 24 hours and after 48 hours. All patients were divided into two groups according to acute kidney injury network classification (AKIN): 27 patients in the first group with negative dynamic (1st stage AKIN and higher), 32 patient in the second group without creatinine dynamic. In addition, during the first day of hospitalization the sST2 and N-terminal pro-brain natriuretic peptide (NT-pro BNP) were determined.

Results: the analyses of biomarkers interconnection (NT pro-BNP, sST2) and GFR showed significant difference of estimated parameters in both groups as well (? = 0.02; ? = 0.03, respectively). Also, correlation of high and medium strength was found between biomarkers (sST2, NT pro-BNP) and GFR (? = 0.0001, p=0.001). For identification of the main risk factor for reduced kidney function, we have used logistic regression method and found NT-pro BNP (area under curve (AUC) 0.7; p<0.05; 95% confidence interval (CI): 0.52 – 0.8; sensitivity (Se) 63%, specificity (Spe) 71%), sST2 (AUC 0.63; p<0.02; 95% CI: 0.52 – 0.74; Se 83%, Spe 41%) were main risk factors for predicting AKI formation.

Conclusions: changes in sST2 and NT-pro BNP level independently predict development of AKI in patients with STEMI.

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