METHOD FOR PREDICTION OF PERINATAL LESIONS OF THE CENTRAL NERVOUS SYSTEM IN TERM NEWBORN Russian patent published in 2022 - IPC G01N33/66 G01N33/68 G01N33/49 

FIELD: medicine.

SUBSTANCE: invention relates to medicine, namely to obstetrics and gynecology, perinatology and clinical laboratory diagnostics, and can be used to predict perinatal lesions of the central nervous system in full-term newborns. The concentration of neuron-specific enolase, the concentration of lactate in the serum of venous blood from the umbilical artery, the total activity of creatine kinase, and the activity of MB-creatine kinase are determined. In a venous blood serum sample from the artery, immediately after cutting off the umbilical cord, a vacuum blood collection system without anticoagulant is taken. The concentration of neuron-specific enolase, the concentration of lactate, the total activity of creatine kinase, the activity of MB-creatine kinase are determined. The beta value is calculated by the formula: beta=-4.344+(0.796×X1)+(0.123×X2)+(0.132×X3)+(0.0158×X4)-(0.00594×X5), where X1 is growth retardation fetus 1 - yes, 0 - no; X2 - concentration of neuron-specific enolase, ng/ml; X3 - lactate concentration, mmol/l; X4 - total activity of creatine kinase, units/l; X5 - activity of MB-creatine kinase, units/l. The value of p(beta) is calculated by the formula: p(beta=exp(beta)/(1+exp(beta)). When p(beta)>0.5, the newborn is likely to develop perinatal lesions of the central nervous system.

EFFECT: method provides the possibility of improving the accuracy of diagnosing perinatal hypoxic-ischemic lesions of the central nervous system in full-term newborns through the use of a complex of functional and laboratory prognostic factors using a mathematical apparatus.

1 cl, 1 dwg, 3 ex