Clinical and anamnestic risk factors and prediction models for the development of fetal growth restriction
Gasymova S.R., Tyutyunnik V.L., Kan N.E., Volochaeva M.V., Donnikov A.E.
Objective: To analyze clinical and anamnestic risk factors and develop prediction models for early- and late-onset fetal growth restriction.
Materials and methods: A cross-sectional study was conducted at the V.I. Kulakov NMRC for OG&P of Minzdrav of Russia, involving 382 pregnant women. Group 1 included 110 pregnant women with fetal growth restriction, whereas Group 2 included 272 women with pregnancies without fetal growth restriction. An analysis of the somatic and obstetric-gynecological history and course of the current pregnancy in both groups was performed. Prediction models for the likelihood of developing early- and late-onset fetal growth restriction were developed.
Results: In group 1, a history of arterial hypertension [10/110 (9.1%) vs. 6/272 (2.2%), p=0.045, OR=0.226 (95% CI 0.052–0.979)], chronic pyelonephritis [8/110 (7.3%) vs. 2/272 (0.7%), p=0.025, OR=0.094 (95% CI 0.010–0.865)], chronic endometritis [8/110 (7.3%) vs. 58/272 (21.3%), p=0.02, OR=0.82 (95% CI 0.015–10.353)], and a history of giving birth to children with growth restriction in previous pregnancies [8/110 (7.3%) vs. 2/272 (0.7%), p=0.025, OR=0.094 (95% CI 0.010–0.865)] were significantly more common than in group 2. During the current pregnancy, the following complications were significantly more prevalent in group 1 than in group 2: threatened miscarriage [35/110 (31.8%) vs. 64/272 (23.5%), p=0.04, RR=1.97 (95% CI 1.03–3.75)], preeclampsia [11/110 (10%) vs. 9/272 (3.3%), p=0.01, RR=3.53 (95% CI 1.37–9.08)], chronic arterial hypertension [11/110 (10%) vs. 11/272 (4.0%), p=0.02, RR=2.84 (95% CI 1.15–7.01)], and placenta previa [5/110 (4.5%) vs. 5/272 (1.8%), p=0.01, RR=0.84 (95% CI 0.42–1.68)]. Significant predictors of fetal growth restriction included a history of having a child with growth restriction, placenta previa, obesity, and preeclampsia. Based on the identified predictors, mathematical predictive models were developed to determine the likelihood of fetal growth restriction.
Conclusion: The developed predictive models for early- and late-onset fetal growth restriction can help reduce the incidence of pregnancy complications and improve perinatal outcomes.
Authors’ contributions: Gasymova S.R., Volochaeva M.V., Donnikov A.E. – conception and design of the study, data collection and analysis, review of relevant literature, material processing and analysis, statistical analysis; Gasymova S.R., Tyutyunnik V.L., Kan N.E. – drafting and editing of the manuscript.
Conflicts of interest: The authors have no conflicts of interest to declare.
Funding: There was no funding for this study.
Ethical Approval: The study was reviewed and approved by the Research Ethics Committee of the V.I. Kulakov NMRC for OG&P, Ministry of Health of Russia.
Patient Consent for Publication: All patients provided informed consent for the publication of their data.
Authors' Data Sharing Statement: The data supporting the findings of this study are available upon request from the corresponding author after approval from the principal investigator.
For citation: Gasymova S.R., Tyutyunnik V.L., Kan N.E., Volochaeva M.V., Donnikov A.E.
Clinical and anamnestic risk factors and prediction models for the development of fetal growth restriction.
Akusherstvo i Ginekologiya/Obstetrics and Gynecology. 2024; (10): 52-59 (in Russian)
https://dx.doi.org/10.18565/aig.2024.166
Keywords
References
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Received 12.07.2024
Accepted 27.09.2024
About the Authors
Shagane R. Gasymova, Junior Researcher, Department of Fetal Medicine of the Institute of Obstetrics; Diagnostic Medical Sonographer, Department of Ultrasound and Functional Diagnostics; Obstetrician-Gynecologist, Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia, 117997, Russia, Moscow, Ac. Oparin str., 4, +7(916)542-22-99, shagane2501@mail.ru, https://orcid.org/0009-0001-2626-6670Victor L. Tyutyunnik, Professor, Dr. Med. Sci., Leading Researcher at the Center for Scientific and Clinical Research, Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia, 117997, Russia, Moscow, Ac. Oparin str., 4, tioutiounnik@mail.ru,
Researcher ID: B-2364-2015, SPIN-code: 1963-1359, Authors ID: 213217, Scopus Author ID: 56190621500, https://orcid.org/0000-0002-5830-5099
Natalia E. Kan, Professor, Dr. Med. Sci., Deputy Director of Science, Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia, 117997, Russia, Moscow, Ac. Oparin str., 4, kan-med@mail.ru, Researcher ID: B-2370-2015, SPIN-code: 5378-8437,
Authors ID: 624900, Scopus Author ID: 57008835600, https://orcid.org/0000-0001-5087-5946
Maria V. Volochaeva, PhD, Senior Researcher at the Department of Regional Cooperation and Integration; Physician at the 1 Maternity Department, Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia, 117997, Russia, Moscow, Ac. Oparin str., 4,
volochaeva.m@yandex.ru, https://orcid.org/0000-0001-8953-7952
Andrey E. Donnikov, PhD, Head of the Laboratory of Molecular Genetic Methods, Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology
and Perinatology, Ministry of Health of Russia, 117997, Russia, Moscow, Ac. Oparin str., 4, donnikov@dna-technology.ru, https://orcid.org/0000-0003-3504-2406
Corresponding author: Shagane R. Gasymova, shagane2501@mail.ru