title: Prediction of ventricular fibrillation based on the ST-segment deviation: allometric model.
abstract: Based on some reported clinical data, we attempt to apply the allometric law for evaluating the probability of ventricular fibrillation when electrocardiographic ST-segment deviations are determined. The deviation is measured in millimeters at the standard calibration of 1mV = 10mm and the probability in percent. Using the equation VF(P) = δ + β (ST) in log-log representation, the fitting procedure produced the following overall coefficients: Average β = 1.11, with a maximum = 1.65 and a minimum = 0.78; Average δ = 0.83, with a maximum = 1.39 and a minimum = 0.41. For a 2mm ST-deviation, the full range of predicted ventricular fibrillation probability extended from about 6% at 1 month up to 47% at 4 years after the original cardiac event. These results, at least preliminarily, appear acceptable and still call for full clinical test. The model seems promising if other parameters were taken into account, such as cardiac enzyme concentration, ischemic or infarcted epicardial areas or ejection fraction. It is concluded, considering these results and a few references found in the literature, that the allometric model shows promising features in cardiology.
authors.affiliation: Instituto Argentino de Matemática (IAM), CONICET, Facultad de Ingeniería, Universidad de Buenos Aires, Argentina. pedro.arini@conicet.gov.ar
authors.forename: Pedro D
authors.initials: PD
authors.lastname: Arini
authors.forename: Maria P
authors.initials: MP
authors.lastname: Bonomini
authors.forename: Max E
authors.initials: ME
authors.lastname: Valentinuzzi
mesh_terms: D000465:Algorithms; D001145:Arrhythmias, Cardiac; D002138:Calibration; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D008954:Models, Biological; D008962:Models, Theoretical; D011336:Probability; D012016:Reference Values; D012815:Signal Processing, Computer-Assisted; D014693:Ventricular Fibrillation