PROGNOSTIC ALGORITHM FOR THE FORMATION OF DELAYED PHYSICAL DEVELOPMENT OF CHILDREN WHO HAVE EXPERIENCED INTRAUTERINE DRUG INTOXICATION

Objective: to create prognostic tables for delayed physical development of children who have experienced drug intoxication in the prenatal period. Materials and methods. The research materials are presented by the study group (51 children) and the verification group of children (10 people). The study group consisted of children aged 1 to 14 years who had prenatal exposure to opiates. Research methods included medical history, follow-up observation and statistical processing of the data obtained using the “Statistica 9.0” program. Results. A prognostic algorithm has been created in tabular expression of the most informationally significant 19 risk factors that have both a prognostically significant and leveling effect on the formation of future delays in the child’s physical development. prognostic table of risk data for the development of delayed physical development in children born to drug-addicted women. The obtained data was verified by a verification group. The effectiveness was 90 % (9 prognostic scenarios adequately reflected upcoming events. Conclusion. The developed predictive algorithms for delayed physical development in children who were exposed to opiates in the prenatal period are applicable in the practice of a pediatrician and create a real opportunity to draw up individual scenarios. The data obtained will help to prevent the development of pathology in a timely manner.

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Publication Details

Journal
CASPIANJOURNALOF MEDICINE AND PHARMACY
Published
2024-08-20
DOI
https://doi.org/10.17021/2712-8164-2024-18-24
Primary Topic
Prenatal Substance Exposure Effects
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article
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article

PROGNOSTIC ALGORITHM FOR THE FORMATION OF DELAYED PHYSICAL DEVELOPMENT OF CHILDREN WHO HAVE EXPERIENCED INTRAUTERINE DRUG INTOXICATION

Elena Kashirskaya, Н. Н. Мартынович
CASPIANJOURNALOF MEDICINE AND PHARMACY
Prenatal Substance Exposure Effects
article

PROGNOSTIC ALGORITHM FOR THE FORMATION OF DELAYED PHYSICAL DEVELOPMENT OF CHILDREN WHO HAVE EXPERIENCED INTRAUTERINE DRUG INTOXICATION

Elena Kashirskaya, Н. Н. Мартынович
article en

Abstract

Objective: to create prognostic tables for delayed physical development of children who have experienced drug intoxication in the prenatal period. Materials and methods. The research materials are presented by the study group (51 children) and the verification group of children (10 people). The study group consisted of children aged 1 to 14 years who had prenatal exposure to opiates. Research methods included medical history, follow-up observation and statistical processing of the data obtained using the “Statistica 9.0” program. Results. A prognostic algorithm has been created in tabular expression of the most informationally significant 19 risk factors that have both a prognostically significant and leveling effect on the formation of future delays in the child’s physical development. prognostic table of risk data for the development of delayed physical development in children born to drug-addicted women. The obtained data was verified by a verification group. The effectiveness was 90 % (9 prognostic scenarios adequately reflected upcoming events. Conclusion. The developed predictive algorithms for delayed physical development in children who were exposed to opiates in the prenatal period are applicable in the practice of a pediatrician and create a real opportunity to draw up individual scenarios. The data obtained will help to prevent the development of pathology in a timely manner.

CASPIANJOURNALOF MEDICINE AND PHARMACY
Astrakhan State Medical University (RU), Moscow Regional Scientific Research Clinical Institute. MF Vladimirsky (RU), Regional Clinical Research (US)
Good health and well-being
Openalex Percentile: Top 79%
Prenatal Substance Exposure Effects
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PROGNOSTIC ALGORITHM FOR THE FORMATION OF DELAYED PHYSICAL DEVELOPMENT OF CHILDREN WHO HAVE EXPERIENCED INTRAUTERINE DRUG INTOXICATION — Elena Kashirskaya, Н. Н. Мартынович · CASPIANJOURNALOF MEDICINE AND PHARMACY (2024) | TGRS Research Map | TGRS