Best Practice & Research Clinical Anaesthesiology
Volume 25, Issue 4 , Pages 499-510 , December 2011

In silico modelling of physiologic systems

References 

  1. Shafer SL, Varvel JR. Pharmacokinetics, pharmacodynamics, and rational opioid selection. Anesthesiology. 1991;74(1):53–63
  2. Santamore WP, Burkhoff D. Hemodynamic consequences of ventricular interaction as assessed by model analysis. Am J Physiol. 1991;260(1 Pt 2):H146–H157
  3. Burkhoff D, Tyberg JV. Why does pulmonary venous pressure rise after onset of LV dysfunction: a theoretical analysis. Am J Physiol. 1993;265(5 Pt 2):H1819–H1828
  4. Magder S. How to use central venous pressure measurements. Curr Opin Crit Care. 2005;11(3):264–270
  5. Magder S. Central venous pressure monitoring. Curr Opin Crit Care. 2006;12(3):219–227
  6. Magder S. Central venous pressure: a useful but not so simple measurement. Crit Care Med. 2006;34(8):2224–2227
  7. Magder S. Point: the classical Guyton view that mean systemic pressure, right atrial pressure, and venous resistance govern venous return is/is not correct. J Appl Physiol. 2006;101(5):1523–1525
  8. Magder S, Veerassamy S, Bates JH. A further analysis of why pulmonary venous pressure rises after the onset of LV dysfunction. J Appl Physiol. 2009;106(1):81–90
  9. Avolio AP. Multi-branched model of the human arterial system. Med Biol Eng Comput. 1980;18(6):709–718
  10. Bauernschmitt R, Schulz S, Schwarzhaupt A, et al. Simulation of arterial hemodynamics after partial prosthetic replacement of the aorta. Ann Thorac Surg. 1999;67(3):676–682
  11. Kelly RP, Tunin R, Kass DA. Effect of reduced aortic compliance on cardiac efficiency and contractile function of in situ canine left ventricle. Circ Res. 1992;71(3):490–502
  12. Ioannou CV, Stergiopulos N, Katsamouris AN, et al. Hemodynamics induced after acute reduction of proximal thoracic aorta compliance. Eur J Vasc Endovasc Surg. 2003;26(2):195–204
  13. Kelly R, Fitchett D. Noninvasive determination of aortic input impedance and external left ventricular power output: a validation and repeatability study of a new technique. J Am Coll Cardiol. 1992;20(4):952–963
  14. Bauernschmitt R, Naujokat E, Mehmanesh H, et al. Mathematical modelling of extracorporeal circulation: simulation of different perfusion regimens. Perfusion. 1999;14(5):321–330
  15. Sun Y, Sjöberg BJ, Ask P, et al. Mathematical model that characterizes transmitral and pulmonary venous flow velocity patterns. Am J Physiol. 1995;268(1 Pt 2):H476–H489
  16. Szabo G, Soans D, Graf A, et al. A new computer model of mitral valve hemodynamics during ventricular filling. Eur J Cardiothorac Surg. 2004;26(2):239–247
  17. Tanne D, Kadem L, Rieu R, et al. Hemodynamic impact of mitral prosthesis-patient mismatch on pulmonary hypertension: an in silico study. J Appl Physiol. 2008;105(6):1916–1926
  18. Magne J, et al. Impact of prosthesis-patient mismatch on survival after mitral valve replacement. Circulation. 2007;115(11):1417–1425
  19. Lagana K, Balossino R, Migliavacca F, et al. Multiscale modeling of the cardiovascular system: application to the study of pulmonary and coronary perfusions in the univentricular circulation. J Biomech. 2005;38(5):1129–1141
  20. Migliavacca F, Pennati G, Dubini G, et al. Modeling of the Norwood circulation: effects of shunt size, vascular resistances, and heart rate. Am J Physiol Heart Circ Physiol. 2001;280(5):H2076–H2086
  21. Barnea O, Austin EH, Richman B, et al. Balancing the circulation: theoretic optimization of pulmonary/systemic flow ratio in hypoplastic left heart syndrome. J Am Coll Cardiol. 1994;24(5):1376–1381
  22. Barnea O, Austin EH, Richman B, et al. Estimation of oxygen delivery in newborns with a univentricular circulation. Circulation. 1998;98(14):1407–1413
  23. Migliavacca F, Balossino R, Pennati G, et al. Multiscale modelling in biofluidynamics: application to reconstructive paediatric cardiac surgery. J Biomech. 2006;39(6):1010–1020
  24. Bove EL, de Leval MR, Migliavacca F, et al. Toward optimal hemodynamics: computer modeling of the Fontan circuit. Pediatr Cardiol. 2007;28(6):477–481
  25. Martonen T, Isaacs K, Hwang D. Three-dimensional simulations of airways within human lungs. Cell Biochem Biophys. 2005;42(3):223–249
  26. Martonen TB, Yang Y, Hwang D, et al. Computer simulations of human lung structures for medical applications. Comput Biol Med. 1995;25(5):431–446
  27. Martonen TB. Mathematical model for the selective deposition of inhaled pharmaceuticals. J Pharm Sci. 1993;82(12):1191–1199
  28. Martonen TB, Yang Y, Hwang D, et al. Mapping the human lung using Delaunay tessellation. Comput Biomed Res. 1994;27(4):245–262
  29. Martonen TB, Yang Y, Hwang D, et al. Computer model of human lung morphology to complement SPECT analyses. Int J Biomed Comput. 1995;40(1):5–16
  30. Martonen T, Fleming J, Schroeter J, et al. In silico modeling of asthma. Adv Drug Deliv Rev. 2003;55(7):829–849
  31. Uttman L, Jonson B. Computer-aided ventilator resetting is feasible on the basis of a physiological profile. Acta Anaesthesiol Scand. 2002;46(3):289–296
  32. Uttman L, Beydon L, Jonson B. Effects of positive end-expiratory pressure increments can be predicted by computer simulation based on a physiological profile in acute respiratory failure. Intensive Care Med. 2003;29(2):226–232
  33. Fincham WF, Tehrani FT. A mathematical model of the human respiratory system. J Biomed Eng. 1983;5(2):125–133
  34. Tehrani FT. Mathematical analysis and computer simulation of the respiratory system in the newborn infant. IEEE Trans Biomed Eng. 1993;40(5):475–481
  35. McClelland SH, Bogod DG, Hardman JG. Pre-oxygenation and apnoea in pregnancy: changes during labour and with obstetric morbidity in a computational simulation. Anaesthesia. 2009;64(4):371–377
  36. McClelland SH, Bogod DG, Hardman JG. Pre-oxygenation in pregnancy: an investigation using physiological modelling. Anaesthesia. 2008;63(3):259–263
  37. McClelland SH, Bogod DG, Hardman JG. Apnoea in pregnancy: an investigation using physiological modelling. Anaesthesia. 2008;63(3):264–269
  38. Hardman JG, Bedforth NM, Ahmed AB, et al. A physiology simulator: validation of its respiratory components and its ability to predict the patient’s response to changes in mechanical ventilation. Br J Anaesth. 1998;81(3):327–332
  39. De Lazzari C, Darowski M, Wolski P, et al. In vivo and simulation study of artificial ventilation effects on energetic variables in cardiosurgical patients. Methods Inf Med. 2005;44(1):98–105
  40. De Lazzari C, Darowski M, Ferrari G, et al. The influence of left ventricle assist device and ventilatory support on energy-related cardiovascular variables. Med Eng Phys. 1998;20(2):83–91
  41. Darowski M, De Lazzari C, Ferrari G, et al. The influence of simultaneous intra-aortic balloon pumping and mechanical ventilation on hemodynamic parameters–numerical simulation. Front Med Biol Eng. 1999;9(2):155–174
  42. De Lazzari C, Darowski M, Ferrari G, et al. The impact of rotary blood pump in conjunction with mechanical ventilation on ventricular energetic parameters - numerical simulation. Methods Inf Med. 2006;45(5):574–583

PII: S1521-6896(11)00065-6

doi: 10.1016/j.bpa.2011.08.006

Best Practice & Research Clinical Anaesthesiology
Volume 25, Issue 4 , Pages 499-510 , December 2011