Ultrasound parameters and anamnestic findings as potential predictors of fetal hypoxia among late fetal growth restriction requiring preterm delivery

Elizaveta A. Shcherbakova , Natalya G. Istomina , Alexey N. Baranov , Andrej M. Grjibovski

Journal of obstetrics and women's diseases ›› 2025, Vol. 74 ›› Issue (1) : 74 -83.

PDF
Journal of obstetrics and women's diseases ›› 2025, Vol. 74 ›› Issue (1) : 74 -83. DOI: 10.17816/JOWD635413
Original study articles
research-article

Ultrasound parameters and anamnestic findings as potential predictors of fetal hypoxia among late fetal growth restriction requiring preterm delivery

Author information +
History +
PDF

Abstract

BACKGROUND: When the hypoxia of fetus with growth restriction is diagnosed, the choice of the timing and method of delivery is an important aspect to improve perinatal outcomes. Delphi (2016) consensus criteria are relevant in identifying and diagnosing “fetal growth restriction.” However, there are still no predictors with which it is possible to predict fetal deterioration requiring preterm delivery.

AIM: The aim of this study was to evaluate the association of ultrasound parameters, anamnesis factors and hypoxia requiring preterm delivery among late-onset fetal growth restriction.

MATERIALS AND METHODS: This cohort study was performed at the Perinatal Center, the Arkhangelsk Regional Clinical Hospital (Arkhangelsk, Russia) from 2018 to 2022 and included 314 women with suspected fetal growth restriction who met the inclusion criteria. The association between preterm birth due to fetal hypoxia and ultrasound, clinical and history-based parameters was assessed by multivariable Poisson regression analysis with robust error variance. Unadjusted and adjusted relative risks with 95 % confidence intervals were calculated. The most parsimonious model was created by backward elimination of variables using the Wald test with a significance level of 0.05.

RESULTS: Late-onset fetal growth restriction was detected in 111 (35.4%) cases, among which premature birth occurred in 54 (48.6%) women due to fetal hypoxia. The most parsimonious model included two predictors. Umbilicocerebral ratio abnormalities (relative risk 1.59; 95% confidence interval 1.19–2.11) and a history of fetal growth restriction pregnancy (relative risk 1.53; 95% confidence interval 1.07–2.19) were positively associated with an increased risk of fetal hypoxia requiring preterm delivery.

CONCLUSIONS: Estimation of the umbilicocerebral ratio abnormalities according to Doppler ultrasound examination data and the history of fetal growth restriction may have prognostic value to make the decision on timely delivery to improve perinatal outcomes in late fetal growth restriction. The data obtained may be used in larger multicenter studies followed by the creation of valid prognostic models with sufficient levels of sensitivity and specificity for using in the clinical practice of obstetrician-gynecologists.

Keywords

Doppler / fetal growth restriction / ultrasound examination / preterm birth / predictors

Cite this article

Download citation ▾
Elizaveta A. Shcherbakova, Natalya G. Istomina, Alexey N. Baranov, Andrej M. Grjibovski. Ultrasound parameters and anamnestic findings as potential predictors of fetal hypoxia among late fetal growth restriction requiring preterm delivery. Journal of obstetrics and women's diseases, 2025, 74(1): 74-83 DOI:10.17816/JOWD635413

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Ahmadeev NR., Fatkullin IF, Fatkullin LS. Cardiovascular consequences of major obstetric syndromes. Obstetrics and gynecology. 2023;(4):5–11. EDN: JNFHLB doi: 10.18565/aig.2022.287

[2]

Ахмадеев Н.Р., Фаткуллин И.Ф., Фаткуллина Л.С. Сердечно-сосудистые последствия больших акушерских синдромов // Акушерство и гинекология. 2023. № 4. С. 5–11. EDN: JNFHLB doi: 10.18565/aig.2022.287

[3]

Martins JG., Biggio JR, Abuhamad A. Society for maternal-fetal medicine consult series #52: Diagnosis and management of fetal growth restriction. Am J Obstet Gynecol. 2020;223(4):2–17. EDN: REBWJI doi: 10.1016/j.ajog.2020.05.010.

[4]

Martins J.G., Biggio J.R., Abuhamad A. Society for maternal-fetal medicine consult series #52: diagnosis and management of fetal growth restriction // Am J Obstet Gynecol. 2020. Vol. 223, N 4. P. 2–17. EDN: REBWJI doi: 10.1016/j.ajog.2020.05.010

[5]

Visser L., van Buggenum H., van der Voorn JP., et al. Maternal vascular malperfusion in spontaneous preterm birth placentas related to clinical outcome of subsequent pregnancy. J Matern Fetal Neonatal Med. 2021;34(17):2759–2764. doi: 10.1080/14767058.2019.1670811

[6]

Visser L., van Buggenum H., van der Voorn J.P., et al. Maternal vascular malperfusion in spontaneous preterm birth placentas related to clinical outcome of subsequent pregnancy // J Matern Fetal Neonatal Med. 2021. Vol. 34, N 17. P. 2759–2764. doi: 10.1080/14767058.2019.1670811

[7]

Preterm birth. In: World Health Organization. [Internet]. [cited 2024 Aug 12] Available from: https://www.who.int/news-room/fact-sheets/detail/preterm-birth

[8]

Preterm birth. В: World Health Organization. [Internet]. Режим доступа: https://www.who.int/news-room/fact-sheets/detail/preterm-birth. Дата обращения: 12.08.2024.

[9]

Russian Society of Obstetricians and Gynecologists. Insufficient fetal growth requiring medical care for the mother (fetal growth retardation). Clinical guidelines. Moscow: Ministry of Health of the Russian Federation; 2022. (In Russ.) [cited 2024 Aug 12] Available from: https://roag-portal.ru/recommendations_obstetrics

[10]

Российское общество акушеров-гинекологов. Недостаточный рост плода, требующий предоставления медицинской помощи матери (задержка роста плода). Клинические рекомендации. Москва: Минздрав РФ, 2022. Режим доступа: https://roag-portal.ru/recommendations_obstetrics Дата обращения: 12.08.2024.

[11]

Yılmaz C, Melekoğlu R, Özdemir H, et al. The role of different Doppler parameters in predicting adverse neonatal outcomes in fetuses with late-onset fetal growth restriction. Turk J Obstet Gynecol. 2023;20(2):86–96. EDN: KHAZDU doi: 10.4274/tjod.galenos.2023.87143

[12]

Yılmaz C., Melekoğlu R., Özdemir H., et al. The role of different Doppler parameters in predicting adverse neonatal outcomes in fetuses with late-onset fetal growth restriction // Turk J Obstet Gynecol. 2023. Vol. 20, N 2. P. 86–96. EDN: KHAZDU doi: 10.4274/tjod.galenos.2023.87143

[13]

Schreiber V, Hurst C, da Silva Costa F, et al. Definitions matter: detection rates and perinatal outcome for infants classified prenatally as having late fetal growth restriction using SMFM biometric vs ISUOG/Delphi consensus criteria. Ultrasound Obstet Gynecol. 2023;61(3):377–385. EDN: IWKORC doi: 10.1002/uog.26035

[14]

Schreiber V., Hurst C., da Silva Costa F., et al. Definitions matter: detection rates and perinatal outcome for infants classified prenatally as having late fetal growth restriction using SMFM biometric vs ISUOG/Delphi consensus criteria // Ultrasound Obstet. Gynecol. 2023. Vol. 61, N 3. P. 377–385. EDN: IWKORC doi: 10.1002/uog.26035

[15]

Roeckner JT, Pressman K, Odibo L, et al. Outcome-based comparison of SMFM and ISUOG definitions of fetal growth restriction. Ultrasound Obstet Gynecol. 2021;57(6):925–930. EDN: EBDTHI doi: 10.1002/uog.23638

[16]

Roeckner J.T., Pressman K., Odibo L., et al. Outcome-based comparison of SMFM and ISUOG definitions of fetal growth restriction // Ultrasound Obstet Gynecol. 2021. Vol. 57, N 6. P. 925–930. EDN: EBDTHI doi: 10.1002/uog.23638

[17]

Di Mascio D, Herraiz I, Villalain C, et al. Comparison between cerebroplacental ratio and umbilicocerebral ratio in predicting adverse perinatal outcome in pregnancies complicated by late fetal growth restriction: a multicenter, retrospective study. Fetal Diagn Ther. 2021;48(8):448–456. EDN: EUOEWN doi: 10.1159/000516443

[18]

Di Mascio D., Herraiz I., Villalain C., et al. Comparison between cerebroplacental ratio and umbilicocerebral ratio in predicting adverse perinatal outcome in pregnancies complicated by late fetal growth restriction: a multicenter, retrospective study // Fetal Diagn Ther. 2021. Vol. 48, N 8. P. 448–456. EDN: EUOEWN doi: 10.1159/000516443

[19]

Stampalija T, Arabin B, Wolf H, et al. TRUFFLE investigators. Is middle cerebral artery Doppler related to neonatal and 2-year infant outcome in early fetal growth restriction? Am J Obstet Gynecol. 2017;216(5):521.e1–521.e13. doi: 10.1016/j.ajog.2017.01.001

[20]

Stampalija T., Arabin B., Wolf H., et al. TRUFFLE investigators. Is middle cerebral artery Doppler related to neonatal and 2-year infant outcome in early fetal growth restriction? // Am J Obstet Gynecol. 2017. Vol. 216, N 5. P. 521.e1–521.e13. doi: 10.1016/j.ajog.2017.01.001

[21]

Mitkin NA, Drachev SN, Krieger EA, et al. Sample size calculation for cross-sectional studies. Human Ecology. 2023;30(7):509–522. EDN: LOEJVM doi: 10.17816/humeco569406

[22]

Митькин Н.А., Драчев С.Н., Кригер Е.А., и др. Расчёт объёма выборки при планировании поперечных исследований // Экология человека. 2023. Т. 30, № 7. C. 509–522. EDN: LOEJVM doi: 10.17816/humeco569406

[23]

Russian Society of Obstetricians and Gynecologists. Signs of intrauterine fetal hypoxia requiring medical care for the mother. Clinical guidelines. Moscow: Ministry of Health of the Russian Federation; 2022. (In Russ.) [cited 2024 Oct 9] Available from: https://roag-portal.ru/recommendations_obstetrics

[24]

Российское общество акушеров-гинекологов. Признаки внутриутробной гипоксии плода, требующие предоставления медицинской помощи матери. Клинические рекомендации. Москва: Минздрав РФ, 2022. Режим доступа: https://roag-portal.ru/recommendations_obstetrics. Дата обращения: 09.10.2024.

[25]

Hadlock FP, Harrist RB, Sharman RS, et al. Estimation of fetal weight with the use of head, body, and femur measurements – a prospective study. Am J Obstet Gynecol. 1985;151(3):333–337. doi: 10.1016/0002-9378(85)90298-4

[26]

Hadlock F.P., Harrist R.B., Sharman R.S., et al. Estimation of fetal weightwith the use of head, body, and femur measurements – a prospective study // Am J Obstet Gynecol. 1985; N 151. P. 333–337. doi: 10.1016/0002-9378(85)90298-4

[27]

Francis A, Hugh O, Gardosi J. Customized vs INTERGROWTH-21st standards for the assessment of birthweight and stillbirth risk at term. Am J Obstet Gynecol. 2018;218(2S):S692–S699. doi: 10.1016/j.ajog.2017.12.013

[28]

Francis A., Hugh O., Gardosi J. Customized vs INTERGROWTH-21st standards for the assessment of birthweight and stillbirth risk at term // Am J Obstet Gynecol. 2018. Vol. 218, N 2S. P. S692–S699. doi: 10.1016/j.ajog.2017.12.013

[29]

Ciobanu A, Wright A, Syngelaki A, et al. Fetal Medicine Foundation reference ranges for umbilical artery and middle cerebral artery pulsatility index and cerebroplacental ratio. Ultrasound Obstet Gynecol. 2019;53(4):465–472. doi: 10.1002/uog.20157

[30]

Ciobanu A., Wright A., Syngelaki A., et al. Fetal Medicine Foundation reference ranges for umbilical artery and middle cerebral artery pulsatility index and cerebroplacental ratio // Ultrasound Obstet Gynecol. 2019. Vol. 53, N 4. P. 465–472. doi: 10.1002/uog.20157

[31]

Acharya G, Ebbing C, Karlsen HO, et al. Sex-specific reference ranges of cerebroplacental and umbilicocerebral ratios: longitudinal study. Ultrasound Obstet Gynecol. 2020;56(2):187–195. EDN: XIOXMN doi: 10.1002/uog.21870

[32]

Acharya G., Ebbing C., Karlsen H.O., et al. Sex-specific reference ranges of cerebroplacental and umbilicocerebral ratios: longitudinal study // Ultrasound Obstet Gynecol. 2020. Vol. 56, N 2. P. 187–195. EDN: XIOXMN doi: 10.1002/uog.21870

[33]

Barros AJ, Hirakata VN. Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio. BMC Med Res Methodol. 2003;3:21. EDN: PBRFDZ doi: 10.1186/1471-2288-3-21

[34]

Barros A.J., Hirakata V.N. Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio // BMC Med Res Methodol. 2003. Vol. 3. P. 21. EDN: PBRFDZ doi: 10.1186/1471-2288-3-21

[35]

Unguryanu TN, Grjibovski AM. Introduction to STATA – software for statistical data analysis. Human Ecology. 2014;21(1):60–63. EDN: RYIESX doi: 10.17816/humeco17275

[36]

Унгуряну Т.Н., Гржибовский А.М. Программное обеспечение для статистической обработки данных STATA: введение // Экология человека. 2014. Т. 21, № 1. C. 60–63. EDN: RYIESX doi: 10.17816/humeco17275

[37]

Melamed N, Baschat A, Yinon Y., et al. FIGO (International Federation of Gynecology and Obstetrics) initiative on fetal growth: best practice advice for screening, diagnosis, and management of fetal growth restriction. Int J Gynaecol Obstet. 2021;152(1):3–57. EDN: MUFZRV doi: 10.1002/ijgo.13522

[38]

Melamed N., Baschat A., Yinon Y., et al. FIGO (International Federation of Gynecology and Oobstetrics) initiative on fetal growth: best practice advice for screening, diagnosis, and management of fetal growth restriction // Int J Gynaecol Obstet. 2021. Vol. 152, N 1. P. 3–57. EDN: MUFZRV doi: 10.1002/ijgo.13522

[39]

Hong J, Crawford K, Cavanagh E, et al. Placental growth factor and fetoplacental Doppler indices in combination predict preterm birth reliably in pregnancies complicated by fetal growth restriction. Ultrasound Obstet Gynecol. 2024;63(5):635–643. EDN: VFRAEQ doi: 10.1002/uog.27513

[40]

Hong J., Crawford K., Cavanagh E., et al. Placental growth factor and fetoplacental Doppler indices in combination predict preterm birth reliably in pregnancies complicated by fetal growth restriction // Ultrasound Obstet Gynecol. 2024. Vol. 63, N 5. P. 635–643. EDN: VFRAEQ doi: 10.1002/uog.27513

[41]

Valino N, Giunta G, Gallo DM, et al. Biophysical and biochemical markers at 30-34 weeks’ gestation in the prediction of adverse perinatal outcome. Ultrasound Obstet Gynecol. 2016;47(2):194–202. doi: 10.1002/uog.14928

[42]

Valino N., Giunta G., Gallo D.M., et al. Biophysical and biochemical markers at 30-34 weeks’ gestation in the prediction of adverse perinatal outcome // Ultrasound Obstet Gynecol. 2016. Vol. 47, N 2. P. 194–202. doi: 10.1002/uog.14928

[43]

Rizzo G, Pietrolucci ME, Mappa I. Modeling gestational age centiles for fetal umbilicocerebral ratio by quantile regression analysis: a secondary analysis of a prospective cross-sectional study. J Matern Fetal Neonatal Med. 2022;35(22):4381–4385. EDN: LMGHOH doi: 10.1080/14767058.2020.1849123

[44]

Rizzo G., Pietrolucci M.E., Mappa I. Modeling gestational age centiles for fetal umbilicocerebral ratio by quantile regression analysis: a secondary analysis of a prospective cross-sectional study // J Matern Fetal Neonatal Med. 2022. Vol. 35, N 22. P. 4381–4385. EDN: LMGHOH doi: 10.1080/14767058.2020.1849123

[45]

Stampalija T, Thornton J, Marlow N, et al. Fetal cerebral Doppler changes and outcome in late preterm fetal growth restriction: prospective cohort study. Ultrasound Obstet Gynecol. 2020;56(2):173–181. EDN: YQBWWV doi: 10.1002/uog.22125

[46]

Stampalija T., Thornton J., Marlow N., et al. Fetal cerebral Doppler changes and outcome in late preterm fetal growth restriction: prospective cohort study // Ultrasound Obstet Gynecol. 2020. Vol. 56, N 2. P. 173–181. EDN: YQBWWV doi: 10.1002/uog.22125

[47]

Mylrea-Foley B, Wolf H, Stampalija T, et al. Longitudinal Doppler assessments in late preterm fetal growth restriction. Ultraschall Med. 2023;44(1):56–67. EDN: YKUKDV doi: 10.1055/a-1511-8293

[48]

Mylrea-Foley B., Wolf H., Stampalija T., et al. Longitudinal Doppler assessments in late preterm fetal growth restriction // Ultraschall Med. 2023. Vol. 44, N 1. P. 56–67. EDN: YKUKDV doi: 10.1055/a-1511-8293

[49]

Villalain C, Galindo A, Di Mascio D, et al. Diagnostic performance of cerebroplacental and umbilicocerebral ratio in appropriate for gestational age and late growth restricted fetuses attempting vaginal delivery: a multicenter, retrospective study. J Matern Fetal Neonatal Med. 2022;35(25):6853–6859. EDN: CXCSNM doi: 10.1080/14767058.2021.1926977

[50]

Villalain C., Galindo A., Di Mascio D., et al. Diagnostic performance of cerebroplacental and umbilicocerebral ratio in appropriate for gestational age and late growth restricted fetuses attempting vaginal delivery: a multicenter, retrospective study // J Matern Fetal Neonatal Med. 2022. Vol. 35, N 25. P. 6853–6859. EDN: CXCSNM doi: 10.1080/14767058.2021.1926977

[51]

Fiolna M, Kostiv V, Anthoulakis C, et al. Prediction of adverse perinatal outcome by cerebroplacental ratio in women undergoing induction of labor. Ultrasound Obstet Gynecol. 2019;53(4):473–480. doi: 10.1002/uog.20173

[52]

Fiolna M., Kostiv V., Anthoulakis C., et al. Prediction of adverse perinatal outcome by cerebroplacental ratio in women undergoing induction of labor // Ultrasound Obstet Gynecol. 2019. Vol. 53, N 4. P. 473–480. doi: 10.1002/uog.20173

RIGHTS & PERMISSIONS

Eсо-Vector

AI Summary AI Mindmap
PDF

36

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/