Narrow Results

The complexity of the cardiac rhythm is demonstrated to exhibit self-affine multifractal variability. The dynamics of heartbeat interval time series was analyzed by application of the multifractal formalism based on the Cramer theory of large deviations. The continuous multifractal large deviation spectrum uncovers the nonlinear fractal properties in the dynamics of heart rate and presents a useful diagnostic framework for discrimination and classification of patients with cardiac disease, e.g. congestive heart failure. The characteristic multifractal spectral pattern in heart transplant recipients or chronic heart disease highlights the importance of neuroautonomic control mechanisms regulating the fractal dynamics of the cardiac rhythm.

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A 15-year-old mixed-breed dog that was presented with anorexia and lethargy for four months was diagnosed with chronic kidney disease (CKD) and cardiac disease. The patient was presented clinically in poor physical condition showing stupor and acute vomiting. Complete blood count (CBC) and serum biochemical analysis showed severe anemia and blood urea nitrogen (BUN, 145 mg/dL), creatinine (3.9 mg/dL) and phosphorus (17.2 mmol/L) were also elevated. Hemodialysis was performed after fluid therapy did not improve the condition of the patient. Hemodialysis successfully treated the acute-phase CKD and improved the kidney compensation function.