Literature DB >> 17562912

Quantitative Circulatory Physiology: an integrative mathematical model of human physiology for medical education.

Sean R Abram1, Benjamin L Hodnett, Richard L Summers, Thomas G Coleman, Robert L Hester.   

Abstract

We have developed Quantitative Circulatory Physiology (QCP), a mathematical model of integrative human physiology containing over 4,000 variables of biological interactions. This model provides a teaching environment that mimics clinical problems encountered in the practice of medicine. The model structure is based on documented physiological responses within peer-reviewed literature and serves as a dynamic compendium of physiological knowledge. The model is solved using a desktop, Windows-based program, allowing students to calculate time-dependent solutions and interactively alter over 750 parameters that modify physiological function. The model can be used to understand proposed mechanisms of physiological function and the interactions among physiological variables that may not be otherwise intuitively evident. In addition to open-ended or unstructured simulations, we have developed 30 physiological simulations, including heart failure, anemia, diabetes, and hemorrhage. Additional stimulations include 29 patients in which students are challenged to diagnose the pathophysiology based on their understanding of integrative physiology. In summary, QCP allows students to examine, integrate, and understand a host of physiological factors without causing harm to patients. This model is available as a free download for Windows computers at http://physiology.umc.edu/themodelingworkshop.

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Year:  2007        PMID: 17562912     DOI: 10.1152/advan.00114.2006

Source DB:  PubMed          Journal:  Adv Physiol Educ        ISSN: 1043-4046            Impact factor:   2.288


  15 in total

1.  The Physiome Projects and Multiscale Modeling.

Authors:  James B Bassingthwaighte; Howard Jay Chizeck
Journal:  IEEE Signal Process Mag       Date:  2008-03       Impact factor: 12.551

2.  Testing Computer Models Predicting Human Responses to a High-Salt Diet.

Authors:  Theodore W Kurtz; Stephen E DiCarlo; Michal Pravenec; Filip Ježek; Jan Šilar; Jiří Kofránek; R Curtis Morris
Journal:  Hypertension       Date:  2018-12       Impact factor: 10.190

3.  Control-oriented physiological modeling of hemodynamic responses to blood volume perturbation.

Authors:  Ramin Bighamian; Bahram Parvinian; Christopher G Scully; George Kramer; Jin-Oh Hahn
Journal:  Control Eng Pract       Date:  2018-03-14       Impact factor: 3.475

4.  Prediction of heat-illness symptoms with the prediction of human vascular response in hot environment under resting condition.

Authors:  Yogender Aggarwal; Bhuwan Mohan Karan; Barsa Nand Das; Rakesh Kumar Sinha
Journal:  J Med Syst       Date:  2008-04       Impact factor: 4.460

Review 5.  Space physiology IV: mathematical modeling of the cardiovascular system in space exploration.

Authors:  M Keith Sharp; Jerry Joseph Batzel; Jean-Pierre Montani
Journal:  Eur J Appl Physiol       Date:  2013-03-29       Impact factor: 3.078

6.  Mechanisms of blood pressure salt sensitivity: new insights from mathematical modeling.

Authors:  John S Clemmer; W Andrew Pruett; Thomas G Coleman; John E Hall; Robert L Hester
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2016-12-14       Impact factor: 3.619

7.  Systems biology and integrative physiological modelling.

Authors:  Robert L Hester; Radu Iliescu; Richard Summers; Thomas G Coleman
Journal:  J Physiol       Date:  2010-12-06       Impact factor: 5.182

Review 8.  Environmental origins of hypertension: phylogeny, ontogeny and epigenetics.

Authors:  Melvin Khee-Shing Leow
Journal:  Hypertens Res       Date:  2015-02-19       Impact factor: 3.872

9.  HumMod: A Modeling Environment for the Simulation of Integrative Human Physiology.

Authors:  Robert L Hester; Alison J Brown; Leland Husband; Radu Iliescu; Drew Pruett; Richard Summers; Thomas G Coleman
Journal:  Front Physiol       Date:  2011-04-13       Impact factor: 4.566

Review 10.  Seven Mathematical Models of Hemorrhagic Shock.

Authors:  Luciano Curcio; Laura D'Orsi; Andrea De Gaetano
Journal:  Comput Math Methods Med       Date:  2021-06-03       Impact factor: 2.238

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