Abstract
Although fetal growth restriction (FGR) is considered as the most common and complex problem of modern obstetrics, its prediction is still very low. FGR prediction can be performed in all trimesters, and since it is a multifactorial pathology, prediction must consider several components, such as clinical, biophysical, biochemical, and ultrasound findings. Studies have shown that combined markers, such as clinical features, ultrasound measures, uterine artery Doppler, and biochemical markers, used in algorithms can improve prediction. FGR can be classified as early or late, and studies in the literature show different prediction sensitivities for each category. The main predictors for early FGR were African ancestry, chronic hypertension, prior pregnancy affected with FGR, mean blood pressure, uterine artery pulsatility index (PI), PlGF, and sFlt-1 with a detection rate of 71.4%. For late FGR, the markers were chronic hypertension, autoimmune disease, prior pregnancy affected with FGR, smoking, nulliparity, mean arterial pressure, uterine artery PI, PlGF, and sFlt-1 with a detection rate of 63.5%. FGR screening remains a challenge, and numerous studies are being conducted with an aim of improving its sensitivity. Effective screening helps to identify patients at risk, who would then be monitored more frequently in an attempt to minimize adverse perinatal effects.
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Zamarian, A.C.P., de Jesus Cruz, J., Nardozza, L.M.M. (2019). Prediction. In: Nardozza, L., Araujo Júnior, E., Rizzo, G., Deter, R. (eds) Fetal Growth Restriction. Springer, Cham. https://doi.org/10.1007/978-3-030-00051-6_6
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DOI: https://doi.org/10.1007/978-3-030-00051-6_6
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