Predicting intrauterine fetal infection risk in extremely preterm and early preterm births induced by rupture of the amniotic membranes

Aim: developing a prognostic model for intrauterine fetal infection risk in extremely preterm and early preterm births induced by rupture of the amniotic membranes.Materials and Methods. A single-center prospective cohort study was conducted aimed at studying features of pregnancy and childbirth in...

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Main Authors: Yu. A. Shadeeva, V. A. Guryeva, M. G. Nikolaeva, N. V. Evtushenko
Format: Article
Language:Russian
Published: IRBIS LLC 2020-10-01
Series:Акушерство, гинекология и репродукция
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Online Access:https://www.gynecology.su/jour/article/view/797
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author Yu. A. Shadeeva
V. A. Guryeva
M. G. Nikolaeva
N. V. Evtushenko
author_facet Yu. A. Shadeeva
V. A. Guryeva
M. G. Nikolaeva
N. V. Evtushenko
author_sort Yu. A. Shadeeva
collection DOAJ
description Aim: developing a prognostic model for intrauterine fetal infection risk in extremely preterm and early preterm births induced by rupture of the amniotic membranes.Materials and Methods. A single-center prospective cohort study was conducted aimed at studying features of pregnancy and childbirth in 160 patients with extremely preterm and early preterm births induced by rupture of the amniotic membranes as well as neonatal period of 160 neonates. Two groups were distinguished: the main group – 37 patients with intrauterine neonatal infection and the comparison group – 123 women without signs of neonatal infection. Along with examination regulated by the order of the Ministry of Health of the Russian Federation No. 572 n, serum level of highly sensitive C-reactive protein, pro-inflammatory cytokines interleukin-6, tumor necrosis factor-α and anti-inflammatory cytokine interleukin-10 were assessed in patients. Risk factors (predictors) of intrauterine infection were assessed by analyzing anamnesis data, echography and laboratory assay data.Results. Multivariate logistic regression analysis allowed us to identify 10 predictors of intrauterine fetal infection based on which a mathematical model was developed that allowed to predict a risk of intrauterine fetal infection in 95.7 % of cases.Conclusion. Using a model for predicting intrauterine infection based on a comprehensive predictor assessment, it may allow to accomplish a personalized approach to justify adequate obstetric care and reduce adverse infection-associated perinatal outcomes.
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spelling doaj-art-3d65a0b359ca43cebac462db70d43b0d2025-08-20T03:19:14ZrusIRBIS LLCАкушерство, гинекология и репродукция2313-73472500-31942020-10-0114449050110.17749/2313-7347/ob.gyn.rep.2020.110582Predicting intrauterine fetal infection risk in extremely preterm and early preterm births induced by rupture of the amniotic membranesYu. A. Shadeeva0V. A. Guryeva1M. G. Nikolaeva2N. V. Evtushenko3Altai State Medical University, Health Ministry of Russian FederationAltai State Medical University, Health Ministry of Russian FederationAltai State Medical University, Health Ministry of Russian FederationAltai State Medical University, Health Ministry of Russian FederationAim: developing a prognostic model for intrauterine fetal infection risk in extremely preterm and early preterm births induced by rupture of the amniotic membranes.Materials and Methods. A single-center prospective cohort study was conducted aimed at studying features of pregnancy and childbirth in 160 patients with extremely preterm and early preterm births induced by rupture of the amniotic membranes as well as neonatal period of 160 neonates. Two groups were distinguished: the main group – 37 patients with intrauterine neonatal infection and the comparison group – 123 women without signs of neonatal infection. Along with examination regulated by the order of the Ministry of Health of the Russian Federation No. 572 n, serum level of highly sensitive C-reactive protein, pro-inflammatory cytokines interleukin-6, tumor necrosis factor-α and anti-inflammatory cytokine interleukin-10 were assessed in patients. Risk factors (predictors) of intrauterine infection were assessed by analyzing anamnesis data, echography and laboratory assay data.Results. Multivariate logistic regression analysis allowed us to identify 10 predictors of intrauterine fetal infection based on which a mathematical model was developed that allowed to predict a risk of intrauterine fetal infection in 95.7 % of cases.Conclusion. Using a model for predicting intrauterine infection based on a comprehensive predictor assessment, it may allow to accomplish a personalized approach to justify adequate obstetric care and reduce adverse infection-associated perinatal outcomes.https://www.gynecology.su/jour/article/view/797preterm birthpreterm rupture of the amniotic membranesexpectant managementintrauterine infectionprognostic modelrisk factors
spellingShingle Yu. A. Shadeeva
V. A. Guryeva
M. G. Nikolaeva
N. V. Evtushenko
Predicting intrauterine fetal infection risk in extremely preterm and early preterm births induced by rupture of the amniotic membranes
Акушерство, гинекология и репродукция
preterm birth
preterm rupture of the amniotic membranes
expectant management
intrauterine infection
prognostic model
risk factors
title Predicting intrauterine fetal infection risk in extremely preterm and early preterm births induced by rupture of the amniotic membranes
title_full Predicting intrauterine fetal infection risk in extremely preterm and early preterm births induced by rupture of the amniotic membranes
title_fullStr Predicting intrauterine fetal infection risk in extremely preterm and early preterm births induced by rupture of the amniotic membranes
title_full_unstemmed Predicting intrauterine fetal infection risk in extremely preterm and early preterm births induced by rupture of the amniotic membranes
title_short Predicting intrauterine fetal infection risk in extremely preterm and early preterm births induced by rupture of the amniotic membranes
title_sort predicting intrauterine fetal infection risk in extremely preterm and early preterm births induced by rupture of the amniotic membranes
topic preterm birth
preterm rupture of the amniotic membranes
expectant management
intrauterine infection
prognostic model
risk factors
url https://www.gynecology.su/jour/article/view/797
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