Algorithm for early diagnosis and prognosis of perinatal infections in newborn children
Abstract
Objective: prediction of perinatal infections in newborns of various gestational ages based on a comprehensive analysis of clinical-anamnestic, neurological, immunogenetic and cluster data, develop an algorithm for early diagnosis.
The results of using a fairly wide range of studies, the establishment of correlation dependence on a number of signs indicate a good informative and prognostic ability of genetic and cluster analysis. However, the degree of predictive value of sensitivity and specificity, i.e. positive and negative results obtained for cytokines, indicates a greater importance in using them as markers for
perinatal infections.
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Keywords
newborns
algorithm for diagnosis and prognosis perinatal infeksiyalar
yenidoğulan
diaqnostika və proqnoz alqoritmi перинатальные инфекции
новорожденные
алгоритм диагностики и прогноза
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