METHOD OF PREDICTING DEVELOPMENT OF EARLY NEONATAL SEPSIS IN NEWBORNS WHOSE MOTHERS HAD COVID-19 DURING PREGNANCY Russian patent published in 2024 - IPC A61B5/00 G01N33/72 

Abstract RU 2813809 C1

FIELD: medicine; neonatology; pediatrics; anesthesiology and resuscitation, obstetrics and gynecology.

SUBSTANCE: invention can be used to predict the development of early neonatal sepsis in newborns whose mothers suffered from COVID-19 during pregnancy. A comprehensive assessment is performed of the anamnestic data of the mother: premature rupture of amniotic fluid, and of the newborn: the sex of the child, suspected or confirmed diagnosis of early neonatal infection, the presence of respiratory distress syndrome, as well as the results of laboratory tests of the child: hyperbilirubinemia on the first day. The diagnostic index (DI) is calculated by the following formula: DI = 1,578 X1 – 1,704 X2 – 2,591 X3 + 4,116 X4 + 2,903 X5 – 1,1, where: X1 is respiratory distress syndrome: in case of presence of respiratory distress syndrome X1 is equal to 1, in case of absence of respiratory distress syndrome X1 is equal to 0; X2 is gender of the child: in case of male X2 is equal to 1, in case of female X2 is equal to 0; X3 is hyperbilirubinemia: in case of presence of hyperbilirubinemia, X3 is equal to 1, in case of absence of hyperbilirubinemia X3 is equal to 0; X4 is suspected or confirmed diagnosis of early neonatal infection P 39. ICD-10: if present, X4 is equal to 1, if absent, X4 is equal to 0; X5 is premature rupture of amniotic fluid: if present, X5 is equal to 1, if absent, X5 is equal to 0. When DI is more than 0, a high risk of sepsis in newborns in the neonatal period is predicted. When DI is less than 0, no signs of neonatal sepsis are predicted.

EFFECT: method provides the ability to predict the development of neonatal sepsis in newborns using available methods and optimize management tactics for this category of children through a comprehensive assessment of the anamnestic data of the mother and newborn and the results of laboratory tests of the child based on mathematical processing of the research results.

1 cl, 2 ex

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Authors

Bychkova Svetlana Vladimirovna

Malgina Galina Borisovna

Iagubova Gandab Khagani Kzy

Chistiakova Guzel Nukhovna

Iakornova Galina Valerevna

Diakova Mariia Mikhailovna

Dates

2024-02-19Published

2023-05-12Filed