FIELD: medicine.
SUBSTANCE: invention relates to prediction of severity of ischemic process of heart, brain and lower limbs based on assessment of central and regional haemodynamics of organs. What is presented is a method which involves measuring systolic blood pressure at a given time (SBP), heart rate (HR), a difference in systolic and arterial pressure and three days ago (ΔAP), activated partial thromboplastin time (APTT) and concentration of Ca2+ in blood [Ca2+]. Self-regulation criterion of central hemodynamic system Z is determined by formula
,
wherein parameter Z is used as a basic variable, on which membership functions are determined μr(Z), determining confidence in classification of severity of ischemic process of central hemodynamic system, wherein four classes are distinguished, characterizing severity r: r = n - norm; r = l is a latent state; r = p is a reversible state; r = c is a critical condition, the patient refers to that class of severity of ischemic process of central hemodynamic system, function of belonging of which is maximum, by value Z is determined function of severity of ischemic process of central hemodynamic system fz(Z), integral levels of severity of ischemic process in heart Uh, brain Ub and lower extremities Ue, by which, taking into account the state of central hemodynamic system, severity of ischemic process for heart STh, for brain STb and lower extremities STe are determined by expressions: STh = fZ(Z) + Uh∙[1-fZ(Z)], STb = fZ(Z) + Ub∙[1-fZ(Z)], STe = fZ(Z) + Ue∙[1-fZ(Z)], on scales STh, STb and STe functions of belonging to the same gravity classes are determined, as for central hemodynamic system - for heart μr(STh), for cerebrum μr(STb), for lower extremities μr(STe), r = n, l, p, c, and for each organ severity is determined by maximum value of corresponding membership functions.
EFFECT: invention provides higher quality of prediction of degree of severity of central hemodynamic system, ischemic process of heart, cerebrum and lower extremities.
10 cl, 4 tbl, 3 ex, 15 dwg
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Authors
Dates
2019-06-18—Published
2017-05-18—Filed