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Fuzzy logic and continuous cellular automata in warfarin dosing of stroke patients

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“Evidence-based” recommendations for warfarin prescription in patients with history of ischemic stroke limit its use to prevention of stroke due to atrial fibrillation. Warfarin is also prescribed by the authors to prevent thrombosis in stroke patients with thrombophilia and potential cardiac or arterial source for thromboembolism. These potential conditions, in the face of thrombophilia, include, but may not be limited to, dilated cardiomyopathy, decreased left ventricular function, atrial septal aneurysm with or without patent foramen ovale (PFO), PFO with evidence of pelvic or lower extremity deep venous thrombosis or with clear thrombophilia, spontaneous echocardiographic contrast, intracardiac or intra-arterial thrombus, intra-aortic arch thrombus, high degree of stenosis of large- and medium-sized cerebrovascular arteries, and arterial dissection. Commonly diagnosed thrombophilic states in our population currently include protein S or C deficiency, antiphospholipid antibodies, and less commonly ATIII deficiency, factor V Leiden mutation, G20210A PT mutation, and plasminogen activator inhibitor-1 mutation. Thrombophilic states often occur in combination. The occurrence of combined arterial, cardiac, and thrombophilic sources of thromboembolism poignantly describes the complexity of causation of ischemic stroke in any one patient. Our practice of treating the complex interaction of thromboembolic sources is based on scientific evidence, which is not arbitrarily limited to probability-based statistics. Warfarin is well known in the clinical setting to interact with many different contextual factors of the individual patient, making its dosing and response unique to that patient. We have shown why the indications for warfarin use and its dosing cannot be directly extrapolated to the individual patient from the results of large, double-blind, randomized trials. In practice, the unique patient and his or her context must be considered by the expert physician who makes the therapeutic decision. The context includes, but is not limited to, known pathologies that contribute to thrombus formation according to the accepted pathophysiologic model of thrombosis based on Virchow’s triad of altered flow, endothelium, and blood components.

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References and Recommended Reading

  1. Gordon C, Smith S: Parachute use to prevent death and major trauma related to gravitational challenge: systemic review of randomized controlled clinical trials. BMJ 2003, 327:1459–1461.

    Article  Google Scholar 

  2. Helgason CM, Watkins FA, Jobe TH: Measurable differences between sequential and parallel diagnostic decision processes for determining stroke subtype: a representation of interacting pathologies. Thromb Haemost 2002, 88:210–212. Shows how diagnosis of stroke type includes all causation to a degree.

    PubMed  CAS  Google Scholar 

  3. Helgason CM, Jobe TH: Statistical versus fuzzy measures of variable interaction in patients with stroke. Neuroepidemiology 2001, 20:57–65, 2001. Demonstrates how data from the group cannot be extrapolated or meaningful for the individual patient.

    Article  Google Scholar 

  4. Helgason CM, Jobe TH: Perception-based reasoning and fuzzy cardinality provide direct measures of causality sensitive to initial conditions of the individual stroke patient. Int J Computational Cognition 2003, 1:74–104. Contains the derivation of the causation measure K.

    Google Scholar 

  5. Cattaneo G, Flocchini P, Mauri G, Santoro N: Cellular automata in fuzzy backgrounds. Physica D 1997, 105:105–120.

    Article  Google Scholar 

  6. Guidelines on antithrombotic and thrombolytic therapy for ischaemic stroke [no authors listed]. Chest 2004, 126:483–512.

  7. Kosko B, ed: Fuzzy cubes and fuzzy mutual entropy. In Fuzzy Engineering. Englewood Cliffs, NJ: Prentice Hall; 1997:403–426.

    Google Scholar 

  8. Leibnitz GW, ed: Specimen dynamicum: an essay in dynamics, showing the wonderful laws of nature concerning bodily interactions, and tracing them to their causes. In Philosophical Texts. Oxford: Oxford University Press; 1998:154–179. [Translated by Francks R, Woolhouse RS, with introduction and notes by Woolhouse RS.]

    Google Scholar 

  9. Leibniz GW, ed: On what is independent of sense and matter. In Philosophical Papers and Letters. Dordrecht-Holland: Reidel Publishing Company; 1969:547–554. [A selection translated and edited, with an introduction by Leroy E. Loemker.]

    Google Scholar 

  10. Helgason CM, Jobe TH: Fuzzy logic and causal reasoning with an ‘N’ of 1 for diagnosis and treatment of the stroke patient. Expert Rev Neurotherapeutics 2004, 4:249–254.

    Article  Google Scholar 

  11. Helgason CM: The application of fuzzy logic to prescription of anti thrombotic agents in the elderly. Drugs Aging 2004, 21:731–736. Shows the unique space-time context of the individual patient.

    Article  PubMed  Google Scholar 

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Helgason, C.M., Jobe, T.H. Fuzzy logic and continuous cellular automata in warfarin dosing of stroke patients. Curr Treat Options Cardio Med 7, 211–218 (2005). https://doi.org/10.1007/s11936-005-0049-4

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