Publications by authors named "Z Dimitrijevic"
Article Synopsis
- Patients on chronic hemodialysis (HD), especially with atrial fibrillation (AF), face significant risks of both bleeding and thrombotic events due to their health conditions and therapies they are receiving.
- In a 24-month study of 224 patients, 35.7% experienced bleeding events, with rates for major bleeding being higher in AF patients (18.6% vs. 7.18% without AF), and mortality from bleeding also elevated for AF patients (14%).
- Thrombotic events were present in 26.8% of patients, with AF patients showing even higher rates (48.8% vs. 21.5% non-AF), indicating that combined
The Role of Oxidative Stress as a Mechanism in the Pathogenesis of Acute Heart Failure in Acute Kidney Injury.
Diagnostics (Basel)
September 2024
Article Synopsis
- Despite extensive research, the exact cause of simultaneous kidney and heart damage remains unclear, highlighting a need for further investigation.
- Healthy mitochondria are crucial for the proper functioning of both kidneys and the heart, and dysfunction occurs when their production and maintenance processes are disrupted.
- The review focuses on the role of oxidative stress in cardiorenal syndrome type 3 and emphasizes the importance of pinpointing key factors involved in the disease's onset for future therapeutic developments.
We examine the significance of the predictive potential of EPI cystatin C (EPI CysC) in combination with NTproBNP, sodium, and potassium in the evaluation of renal function in patients with cardiorenal syndrome using standard mathematical classification models from the domain of artificial intelligence. The criterion for the inclusion of subjects with combined impairment of heart and kidney function in the study was the presence of newly discovered or previously diagnosed clinically manifest cardiovascular disease and acute or chronic kidney disease in different stages of evolution. In this paper, five standard classifiers from the field of machine learning were used for the analysis of the obtained data: ensemble of neural networks (MLP), ensemble of -nearest neighbors (-NN) and naive Bayes classifier, decision tree, and a classifier based on logistic regression.
View Article and Find Full Text PDFMarkers used in everyday clinical practice cannot distinguish between the permanent impairment of renal function. Sodium and potassium values and their interdependence are key parameters in addition to volemia for the assessment of cardiorenal balance. The aim of this study was to investigate volemia and electrolyte status from a clinical cardiorenal viewpoint under consideration of renal function utilizing artificial intelligence.
View Article and Find Full Text PDFBackground: Patients with end-stage renal disease (ESRD) receiving hemodialysis (HD) often experience bleeding. However, mechanisms behind this bleeding tendency are incompletely understood but may involve platelet dysfunction. We, therefore, studied platelet-dependent thrombus formation in flowing whole blood inside a microchip coated with collagen, and its association with circulating von Willebrand factor (VWF).
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