Data Analysis of Impaired Renal and Cardiac Function Using a Combination of Standard Classifiers.

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.

Is It Possible to Analyze Kidney Functions, Electrolytes and Volemia Using Artificial Intelligence?

Markers 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.

Crosstalk of Various Biomarkers That Might Provide Prompt Identification of Acute or Chronic Cardiorenal Syndromes.

Introduction: Pathophysiological interaction between the heart and kidneys represents the basis for clinical entities called cardiorenal syndromes. The purpose of the study was to assess the relations between acute and chronic cardiorenal syndromes and biomarkers [advanced oxidation protein products, brain natriuretic peptide, malondialdehyde, xanthine oxidoreductase (XOD), xanthine oxidase, xanthine dehydrogenase, interleukin 8, cystatin C, plasminogen activator inhibitor-1, high-sensitive troponin T, C-reactive protein and glomerular filtration rate, measured by the Modification of Diet in Renal Disease (MDRD) formula], to hypothesize biomarkers that might provide a prompt identification of acute or chronic cardiorenal syndromes, and to distinguish acute versus chronic types of these syndromes.

Methods: A total of 114 participants were enrolled in this study, i.

Microinflammation factors in the common diseases of the heart and kidneys.

Aim: To determine levels of interleukin-8 (IL-8) and plasminogen activator inhibitor-1 (PAI-1) in different cardiorenal syndrome (CRS) modalities and to compare findings to some already investigated direct and indirect parameters of inflammation and atherosclerosis.

Materials And Methods: Testing involved 114 examinees, divided into control and clinical groups suffering from different modalities and were formed according to the basis of a valid classification for CRS.

Results: C-reactive protein (CRP) was significantly higher in all CRSs in comparison to the control group (P < 0.

Circulating purine compounds, uric acid, and xanthine oxidase/dehydrogenase relationship in essential hypertension and end stage renal disease.

Purine nucleotide liberation and their metabolic rate of interconversion may be important in the development of hypertension and its renal consequences. In the present study, blood triphosphate (ATP), adenosine diphosphate (ADP), and adenosine monophosphate (AMP) breakdown pathway was evaluated in relation to uric acid concentration and xanthine dehydrogenase/xanthine oxidase (XDH/XO) in patients with essential hypertension, patients with chronic renal diseases on dialysis, and control individuals. The pattern of nucleotide catabolism was significantly shifted toward catabolic compounds, including ADP, AMP, and uric acid in patients on dialysis program.

Crosstalk of inflammatory mediators and lipid parameters as early markers of renal dysfunction in stable renal transplant recipients with regard to immunosuppression.

Background: Kidney transplantation is still the treatment of choice for end-stage renal disease, therefore it is important to establish all modifiable risk factors for initiation of renal dysfunction.

Material/methods: We enrolled 73 renal transplant recipients, who were more than 12 months post-renal transplant surgery, had a stable graft function, had no clinically present cardiovascular disease, and were on standard immunosuppressive therapy. The concentrations of intracellular adhesion molecule-1 (ICAM-1), vascular adhesion molecule-1 (VCAM-1), CRP, lipids, and lipoproteins were measured.

Circulating nucleic acids as possible damage-associated molecular patterns in different stages of renal failure.

Chronic renal failure (CRF) is a condition associated with the risk of cardiovascular complications. Systemic inflammatory response, initiated by the pathogen-associated molecular-pattern (PAMP) molecules, exerts many similarities with the damage-associated molecular-pattern (DAMP) molecule-induced systemic response. Up to now, a number of DAMP molecules were identified.

Oxidative stress in renal anemia of hemodialysis patients is mitigated by epoetin treatment.

Background/aims: Oxidative stress often occurs in chronic hemodialysis (HD) patients. The objective of our study was to investigate the interrelationship between oxidative stress and the degree of renal anemia.

Methods: In 107 consecutive HD patients, serum concentrations of two major aldehydic lipid peroxidation (LPO) products, 4-hydroxynonenal (HNE) and malondialdehyde (MDA), and of protein carbonyls were analyzed as parameters of oxidative stress and related to the degree of renal anemia.