A Dynamic Simulator for the Management of Disorders of the Body Water Homeostasis

Published Online:https://doi.org/10.1287/opre.1080.0618

References

  • Abbrecht P. H. Regulation of extracellular fluid volume and osmolality. Ann. Biomedical Engrg. (1980) 8:461–472CrossrefGoogle Scholar
  • Abdel-Hamid T. K. Modeling the dynamics of human energy regulation and its implications for obesity treatment. System Dynam. Rev. (2002) 18:431–471CrossrefGoogle Scholar
  • Agur Z., Hassin R., Levy S. Optimizing chemotherapy scheduling using local search heuristics. Oper. Res. (2006) 54:829–846LinkGoogle Scholar
  • Bagby S. P., Bennett W. M. Differentiating disorders of ECF volume/Na content regulation versus disorders of total body fluid osmolarity/ water regulation. Adv. Physiology Ed. (1998) 20:169–184CrossrefGoogle Scholar
  • Baldes E. J., Smirk F. H. The effect of water drinking, mineral starvation and salt administration on the total osmotic pressure of the blood in man, chiefly in relation to the problems of water absorption and water diuresis. J. Physiology (1934) 82:62–74CrossrefGoogle Scholar
  • Bar-Yam Y. Improving the effectiveness of health care and public health: A multiscale complex systems analysis. Am. J. Public Health (2006) 96:459–466CrossrefGoogle Scholar
  • Barlas Y. Multiple tests for validations of system dynamics type of simulation models. Eur. J. Oper. Res. (1989) 42:59–87CrossrefGoogle Scholar
  • Barlas Y. Formal aspects of model validity and validation in system dynamics. System Dynam. Rev. (1996) 12:183–210CrossrefGoogle Scholar
  • Barlas Y. System dynamics: Systemic feedback modeling for policy analysis. Knowledge for Sustainable Development—An Insight into the Encyclopedia of Life Support Systems (2002) (UNESCO-EOLSS Publishers, Paris, Oxford) 1131–1175Google Scholar
  • Bray J. J., Cragg P. A., Macknight A. D. C.Lecture Notes on Human Physiology (1989) (Blackwell Scientific Publications, Year Book Medical Publishers, Oxford, Boston) Google Scholar
  • Cannon W.The Wisdom of the Body (1932) (N. Y. Norton, New York) CrossrefGoogle Scholar
  • Coleman T. G., Hall J. E., Iyengar S. S. A mathematical model of renal hemodynamics and excretory function. Structuring Biological Systems—A Computer Modeling Approach (1992) (CRC Press, Boca Raton, FL) 89–125Google Scholar
  • Craft D. L., Wein L. M., Wilkins A. H. Analyzing bioterror response logistics: The case of anthrax. Management Sci. (2005) 51:679–694LinkGoogle Scholar
  • DeHaven J. C., Shapiro N. Z. On the control of urine formation. Nephron (1967) 4(Suppl. 4):1–63Google Scholar
  • Guyton A. C., Coleman T. G., Reeve E. B., Guyton A. C.Physical Bases of Circulatory Transport: Regulation and Exchange (1967) (W. B. Saunders Company, Philadelphia) Google Scholar
  • Guyton A. C., Hall J. E.Textbook of Medical Physiology (2000) (W. B. Saunders, Philadelphia) . Reprinted 2006, Elsevier-SaundersGoogle Scholar
  • Guyton A. C., Coleman T. G., Granger H. J. Circulation: Overall regulation. Annual Rev. Physiology (1972) 34:13–46CrossrefGoogle Scholar
  • Halperin M. L., Bohn D. Clinical approach to disorders of salt and water balance; Emphasis on integrative physiology. Critical Care Clinics (2002) 18:249–272CrossrefGoogle Scholar
  • Haslett C., Chilvers E., Boon N. A., Colledge N. F., Hunter J. A. A.Davidson's Principles and Practice of Medicine (2002) (Churchill Livingstone, Edinburgh/New York) Google Scholar
  • Hirsch G., Immediato C. S. Microworlds and generic structures as resources for integrating care and improving health. System Dynam. Rev. (1999) 15:315–330CrossrefGoogle Scholar
  • Ikeda N., Marumo F., Shirataka M., Sato T. A model of overall regulation of body fluids. Ann. Biomedical Engrg. (1979) 7:135–166CrossrefGoogle Scholar
  • Incioğlu F. A dynamic simulation model for long-term hypertension progression. Proc. 25th Internat. System Dynam. Conf. (2007) Boston97Google Scholar
  • isee Systems, Inc. New horizons in virtual medicine—A simple model of drug metabolization. (1997) . http://www.iseesystems.com/community/downloads/EducationDownloads.aspxGoogle Scholar
  • Jamison R. L., Oliver R. E. Disorders of urinary concentration and dilution. Amer. J. Medicine (1982) 72:308–322CrossrefGoogle Scholar
  • Janicic N., Verbalis J. G. Evaluation and management of hypo-osmolality in hospitalized patients. Endocrinology and Metabolism Clinics of North America (2003) 32:459–481CrossrefGoogle Scholar
  • Jones A. P., Homer J. B., Murphy D. L., Essien J. D. K., Milstein B., Seville D. A. Understanding diabetes population dynamics through simulation modeling and experimentation. Amer. J. Public Health (2006) 96:488–494CrossrefGoogle Scholar
  • Karaaslan F. Modeling and analysis of the interaction between renal symphathetic nerve activity, arterial pressure and sodium excretion. (2004) . Ph.D. dissertation, Boğaziçi University, Istanbul, TurkeyGoogle Scholar
  • Karanfil Ö. A dynamic simulator for the management of disorders of the body water metabolism. (2005) . M.Sc. thesis, Boğaziçi University, Istanbul, TurkeyGoogle Scholar
  • Karanfil Ö. A dynamic simulator for the management of disorders of the body water metabolism. Proc. 24th Internat. System Dynam. Conf. (2006) Nijmegen, The Netherlands78Google Scholar
  • Northrop R. B.Endogeneous and Exogeneous Regulation and Control of Physiological Systems (2000) (Chapman & Hall/CRC, Boca Raton, FL) Google Scholar
  • Reeve E. B., Kulhanek L., Reeve E. B., Guyton A. C. Regulation of body water content: A preliminary analysis. Physical Bases of Circulatory Transport: Regulation and Exchange (1967) (W. B. Saunders, Philadelphia) 151–177Google Scholar
  • Romeijn H. E., Ahuja R. K., Dempsey J. F., Kumar A. A new linear programming approach to radiation therapy treatment planning problems. Oper. Res. (2006) 54:201–216LinkGoogle Scholar
  • Ryu Y. U., Chandrasekaran R., Jacob V. Prognosis using an isotonic prediction technique. Management Sci. (2004) 50:777–785LinkGoogle Scholar
  • Saito T., Ishikawa S., Abe K., Kamoi K., Yamada K., Shimizu K., Saruta T., Yoshida S. Acute aquaresis by the nonpeptide AVP antagonist OPC-31260 improves hyponatremia in patients with SIADH. Endocrinology and Metabolism (1996) 82:1054–1057CrossrefGoogle Scholar
  • Schwartz W. B., Bennett W., Curelop S., Bartter F. C. A syndrome of renal sodium loss and hyponatremia probably resulting from inappropriate secretion of antidiuretic hormone. J. Amer. Soc. Nephrology (2001) 12:2860–2870Google Scholar
  • Seeliger E., Ladwig M., Reinhardt H. W. Are large amounts of sodium stored in an osmotically inactive form during sodium retention? Balance studies in freely moving dogs. Amer. J. Physiology—Regulatory, Integrative and Comparative Physiology (2005) 290:1429–1435CrossrefGoogle Scholar
  • Shafiee M. A. S., Bohn D., Hoorn E. J., Halperin M. L. How to select optimal maintenance intravenous fluid therapy. Quart. J. Medicine (2003) 96:601–610CrossrefGoogle Scholar
  • Sterman J. D.Business Dynamics: Systems Thinking and Modeling in a Complex World (2000) (McGraw-Hill, Boston) Google Scholar
  • Sterman J. D. Learning from evidence in a complex world. Amer. J. Public Health (2006) 96:505–514CrossrefGoogle Scholar
  • Titze J., Lang R., Ilies C., Schwind K. H., Kirsch K. A., Dietsch P., Luft F. C., Hilgers K. F. Osmotically inactive skin Na storage in rats. Amer. J. Physiology—Renal Physiology (2003) 285:F1108–F1117CrossrefGoogle Scholar
  • Toates F. M., Oatley K. Computer simulation of thirst and water balance. Medical and Biological Engrg. (1970) 8:71–87CrossrefGoogle Scholar
  • Toates F. M., Oatley K. Control of water excretion by antidiuretic hormone: Some aspects of modelling the system. Med. Biol. Engrg. Comput. (1977) 15:579–588CrossrefGoogle Scholar
  • Uttamsingh R. J., Leaning M. S., Bushman J. A., Carson E. R., Finkelstein L. Mathematical model of the human renal system. Med. Biol. Engrg. Comput. (1985) 23:525–536CrossrefGoogle Scholar
  • Verbalis J. G. Disorders of body water homeostasis. Best Practice & Res. Clinical Endocrinology & Metabolism (2003) 17:471–503CrossrefGoogle Scholar
  • Yamamura Y., Ohnishi A., Okahara R., Fujihara H., Inoue T., Yabuuchi Y., Tanaka T. Potent aquaretic agent. A novel nonpeptide selective vasopressin 2 antagonist (OPC-31260) in men. J. Clinical Investigation (1993) 92:2653–2659CrossrefGoogle Scholar
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