Literature DB >> 8182959

Mathematical model of cardiovascular mechanics for diagnostic analysis and treatment of heart failure: Part 1. Model description and theoretical analysis.

H Tsuruta1, T Sato, M Shirataka, N Ikeda.   

Abstract

The planning of drug therapy for heart failure should involve both the diagnostic analysis of the patient's defective state and a prediction of the drug effects on the identified state. We have devised a mathematical model of cardiovascular system mechanics, on which both quantitative diagnosis and evaluation of drug effects can be made. The model was composed of systemic and pulmonary circulatory networks including the dynamics of the left and right ventricles. The model of the ventricles can represent both systolic and diastolic problems in heart failure through the parameters of ventricular contractility and diastolic stiffness. Each vascular network was composed of arterial and venous resistances and total vascular capacitance. Patient's ventricular and vascular parameters were estimated simultaneously from the clinically measurable haemodynamic variables based on the model. Despite the simplicity of the model, the results showed good agreement with clinical and experimental data. The clinically significant haemodynamic classification of heart failure by Forrester et al. (Forrester et al., 1977) was simulated well by the model. This model provides a useful basis for analysing pathophysiological states in heart failure and evaluating drug effects on the disease.

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Year:  1994        PMID: 8182959     DOI: 10.1007/bf02512472

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  38 in total

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Journal:  Med Inform (Lond)       Date:  1987 Jul-Sep

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Authors:  H Suga; K Sagawa
Journal:  Circ Res       Date:  1974-07       Impact factor: 17.367

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Authors:  H Pouleur; J W Covell; J Ross
Journal:  Circulation       Date:  1980-02       Impact factor: 29.690

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Authors:  H Suga
Journal:  Iyodenshi To Seitai Kogaku       Date:  1979-04

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Authors:  C S Peskin; C Tu
Journal:  Comput Biol Med       Date:  1986       Impact factor: 4.589

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Authors:  B R Brodie; W Grossman; T Mann; L P McLaurin
Journal:  J Clin Invest       Date:  1977-01       Impact factor: 14.808

10.  Correlative classification of clinical and hemodynamic function after acute myocardial infarction.

Authors:  J S Forrester; G A Diamond; H J Swan
Journal:  Am J Cardiol       Date:  1977-02       Impact factor: 2.778

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  5 in total

1.  Mathematical model of cardiovascular mechanics for diagnostic analysis and treatment of heart failure: Part 2. Analysis of vasodilator therapy and planning of optimal drug therapy.

Authors:  H Tsuruta; T Sato; N Ikeda
Journal:  Med Biol Eng Comput       Date:  1994-01       Impact factor: 2.602

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Authors:  David R Warriner; Alistair G Brown; Susheel Varma; Paul J Sheridan; Patricia Lawford; David R Hose; Abdallah Al-Mohammad; Yubing Shi
Journal:  PLoS One       Date:  2014-12-05       Impact factor: 3.240

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Authors:  K M Hallow; Y Gebremichael
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2017-05-26

Review 4.  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

5.  Cardiorenal Systems Modeling: Left Ventricular Hypertrophy and Differential Effects of Antihypertensive Therapies on Hypertrophy Regression.

Authors:  K Melissa Hallow; Charles H Van Brackle; Sommer Anjum; Sergey Ermakov
Journal:  Front Physiol       Date:  2021-06-16       Impact factor: 4.566

  5 in total

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