Author/Authors :
Curcio, Luciano National Research Council of Italy - Institute for Biomedical Research and Innovation - Via Ugo La Malfa - Palermo, Italy , D’Orsi, Laura National Research Council of Italy - Institute for Systems Analysis and Computer Science “A. Ruberti” - BioMatLab (Biomathematics Laboratory) - UCSC Largo A. Gemelli - Rome, Italy , Cibella, Fabio National Research Council of Italy - Institute for Biomedical Research and Innovation - Via Ugo La Malfa - Palermo, Italy , Wagnert-Avraham, Linn Faculty of Medicine - The Hebrew University of Jerusalem and the Israel Defense Forces Medical Corps, Israel , Nachman, Dean Faculty of Medicine - The Hebrew University of Jerusalem and the Israel Defense Forces Medical Corps, Israel , De Gaetano, Andrea National Research Council of Italy - Institute for Biomedical Research and Innovation - Via Ugo La Malfa - Palermo, Italy
Abstract :
Hemorrhagic shock is the number one cause of death on the battlefield and in civilian trauma as well. Mathematical modeling has
been applied in this context for decades; however, the formulation of a satisfactory model that is both practical and effective has yet
to be achieved. This paper introduces an upgraded version of the 2007 Zenker model for hemorrhagic shock termed the ZenCur
model that allows for a better description of the time course of relevant observations. Our study provides a simple but realistic
mathematical description of cardiovascular dynamics that may be useful in the assessment and prognosis of hemorrhagic shock.
This model is capable of replicating the changes in mean arterial pressure, heart rate, and cardiac output after the onset of
bleeding (as observed in four experimental laboratory animals) and achieves a reasonable compromise between an overly
detailed depiction of relevant mechanisms, on the one hand, and model simplicity, on the other. The former would require
considerable simulations and entail burdensome interpretations. From a clinical standpoint, the goals of the new model are to
predict survival and optimize the timing of therapy, in both civilian and military scenarios.