Personalized stratification of pregnancy care for small for gestational age neonates from biophysical markers at mid-gestation

Journal article

Papastefanou, Ioannis, Wright, David, Syngelaki, Argyro, Akolekar, Ranjit and Nicolaides, Kypros H 2022. Personalized stratification of pregnancy care for small for gestational age neonates from biophysical markers at mid-gestation. American Journal of Obstetrics and Gynecology. 229 (1), pp. 57.e1-57.14. https://doi.org/10.1016/j.ajog.2022.12.318
AuthorsPapastefanou, Ioannis, Wright, David, Syngelaki, Argyro, Akolekar, Ranjit and Nicolaides, Kypros H
AbstractAntenatal identification of pregnancies at high-risk to deliver small for gestational age (SGA) neonates, may improve the management of the condition and reduce the associated adverse perinatal outcome. In a series of publications we have developed a new competing risks model for SGA prediction and we demonstrated that the new approach has a superior performance to that of the traditional methods. The next step in shaping the appropriate management of SGA is the timely assessment of these high-risk pregnancies according to an antenatal stratification plan. To demonstrate the stratification of pregnancy care based on individual patient risk derived from the application of the competing risks model for SGA that combines maternal factors with sonographic estimated fetal weight (EFW) and uterine artery pulsatility index (UtA-PI) at mid-gestation. This was a prospective observational non-intervention study in 96,678 women with singleton pregnancies undergoing routine ultrasound examination at 19-24 weeks of gestation, which included recording of EFW and measurement of UtA-PI. The competing risk model for SGA was used to create a patient specific stratification curve capable to define a specific timing for a repeat ultrasound examination after 24 weeks. We examined different stratification plans with the intention of detecting about 80%, 85%, 90% and 95% of SGA neonates with birth weight <3 and <10 percentiles at any gestational age at delivery until 36 weeks; all pregnancies would be offered a routine ultrasound examination at 36 weeks. The stratification of pregnancy care for SGA can be based on a patient specific stratification curve. Factors from maternal history, low EFW and increased UtA-PI shift the personalized risk curve towards higher risks. The degree of shifting defines the timing for assessment for each pregnancy. If the objective of our antenatal plan was to detect 80%, 85%, 90% and 95% of SGA neonates at any gestational age at delivery until 36 weeks, the median (range) proportions (%) of population examined per week would be 3.15 (1.9, 3.7), 3.85 (2.7, 4.5), 4.75 (4.0, 5.4) and 6.45 (3.7, 8.0) for SGA < 3 percentile and 3.8 (2.5, 4.6) ,4.6 (3.6, 5.4), 5.7 (3.8, 6.4) and 7.35 (3.3, 9.8) for SGA < 10 percentile, respectively. The competing risks model provides an effective personalized continuous stratification of pregnancy care for SGA which is based on the individual characteristics and the biophysical marker levels recorded at the mid-gestation scan. [Abstract copyright: Copyright © 2022. Published by Elsevier Inc.]
KeywordsPrecision medicine; Second trimester screening; Stratification; Competing risks; Pyramid of prenatal care; Bayes theorem; Survival model; Fetal growth restriction; Small for gestational age
Year2022
JournalAmerican Journal of Obstetrics and Gynecology
Journal citation229 (1), pp. 57.e1-57.14
PublisherElsevier
ISSN1097-6868
Digital Object Identifier (DOI)https://doi.org/10.1016/j.ajog.2022.12.318
Official URLhttps://www.sciencedirect.com/science/article/abs/pii/S0002937822026047
Publication dates
Online31 Dec 2022
PrintJul 2023
Publication process dates
Accepted28 Dec 2022
Deposited18 Jan 2023
Output statusPublished
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https://repository.canterbury.ac.uk/item/93972/personalized-stratification-of-pregnancy-care-for-small-for-gestational-age-neonates-from-biophysical-markers-at-mid-gestation

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Ciobanu, A., Anthoulakis, C., Syngelaki, A., Akolekar, R. and Nicolaides, K.H. 2019. Prediction of small-for-gestational-age neonates at 35-37 weeks' gestation: contribution of maternal factors and growth velocity between 32 and 36 weeks. Ultrasound in Obstetrics and Gynecology. 53 (5), pp. 630-637. https://doi.org/10.1002/uog.20267
Maternal and neonatal complications of fetal macrosomia: cohort study
Beta, J., Khan, N., Fiolna, M., Khalil, A., Ramadan, G. and Akolekar, R. 2019. Maternal and neonatal complications of fetal macrosomia: cohort study. Ultrasound in Obstetrics and Gynecology. 54 (3), pp. 319-325. https://doi.org/10.1002/uog.20279
Procedure-related risk of miscarriage following chorionic villus sampling and amniocentesis
Beta, J., Zhang, W., Geris, S., Kostiv, V. and Akolekar, R. 2019. Procedure-related risk of miscarriage following chorionic villus sampling and amniocentesis. Ultrasound in Obstetrics and Gynecology. 54 (4), pp. 452-457. https://doi.org/10.1002/uog.20293
Biomarkers of impaired placentation at 35-37 weeks' gestation in the prediction of adverse perinatal outcome
Ciobanou, A., Jabak, S., De Castro, H., Frei, L., Akolekar, R. and Nicolaides, K. H. 2019. Biomarkers of impaired placentation at 35-37 weeks' gestation in the prediction of adverse perinatal outcome. Ultrasound in Obstetrics and Gynecology. 54 (1), pp. 79-86. https://doi.org/10.1002/uog.20346
Risk of miscarriage following amniocentesis or chorionic villus sampling: systematic review of literature and updated meta-analysis
Salomon, L. J., Sotiriadis, A., Wulff, C. B., Odibo, A. and Akolekar, R. 2019. Risk of miscarriage following amniocentesis or chorionic villus sampling: systematic review of literature and updated meta-analysis. Ultrasound in Obstetrics and Gynecology. 54 (4), pp. 442-451. https://doi.org/10.1002/uog.20353
Prediction of large-for-gestational-age neonate by routine third-trimester ultrasound
Khan, N., Ciobanu, A., Karampitsakos, T., Akolekar, R. and Nicolaides, K. H. 2019. Prediction of large-for-gestational-age neonate by routine third-trimester ultrasound. Ultrasound in Obstetrics and Gynecology. 54 (2), pp. 326-333. https://doi.org/10.1002/uog.20377
Two-stage approach for prediction of small-for-gestational-age neonate and adverse perinatal outcome by routine ultrasound examination at 35-37 weeks' gestation
Akolekar, R., Panaitescu, A. M., Ciobanu, A., Syngelaki, A. and Nicolaides, K. H. 2019. Two-stage approach for prediction of small-for-gestational-age neonate and adverse perinatal outcome by routine ultrasound examination at 35-37 weeks' gestation. Ultrasound in Obstetrics and Gynecology. 54, pp. 484-491. https://doi.org/10.1002/uog.20391
Prevention of stillbirths: impact of a two-stage screening for vasa previa
Zhang, W., Geris, S., Beta, J., Ramadan, G., Nicolaides, K. H. and Akolekar, R. 2019. Prevention of stillbirths: impact of a two-stage screening for vasa previa. Ultrasound in Obstetrics and Gynecology. 55 (5), pp. 605-612. https://doi.org/10.1002/uog.21953
Impact of prospective measurement of outflow tracts in the prediction of coarctation of the aorta
Vigneswaran, T. V., Zidere, V., Chivers, S., Charakida, M., Akolekar, R. and Simpson, J. M. 2019. Impact of prospective measurement of outflow tracts in the prediction of coarctation of the aorta. Ultrasound in Obstetrics and Gynecology. https://doi.org/10.1002/uog.21957
Diagnosis of major heart defects by routine first-trimester ultrasound examination: association with high nuchal translucency, tricuspid regurgitation and abnormal flow in the ductus venosus
Minnella, G. P., Crupano, F. M., Syngelaki, A., Zidere, V., Akolekar, R. and Nicolaides, K. H. 2019. Diagnosis of major heart defects by routine first-trimester ultrasound examination: association with high nuchal translucency, tricuspid regurgitation and abnormal flow in the ductus venosus. Ultrasound in Obstetrics and Gynecology. 55 (5), pp. 637-644. https://doi.org/10.1002/uog.21956
Screening for pre-eclampsia using sFlt-1/PlGF ratio cut-off of 38 at 30-37 weeks' gestation
Dragan, I., Georgiou, T., Prodan, N., Akolekar, R. and Nicolaides, K. H. 2017. Screening for pre-eclampsia using sFlt-1/PlGF ratio cut-off of 38 at 30-37 weeks' gestation. Ultrasound in Obstetrics and Gynecology. 49 (1), pp. 73-77. https://doi.org/10.1002/uog.17301
Uterine artery pulsatility index at 30-34 weeks' gestation in the prediction of adverse perinatal outcome
Valiño, N., Giunta, G., Gallo, D. M., Akolekar, R. and Nicolaides, K. H. 2016. Uterine artery pulsatility index at 30-34 weeks' gestation in the prediction of adverse perinatal outcome. Ultrasound in Obstetrics and Gynecology. 47 (3), pp. 308-315. https://doi.org/10.1002/uog.14898
Biophysical and biochemical markers at 30-34 weeks' gestation in the prediction of adverse perinatal outcome
Valiño, N., Giunta, G., Gallo, D. M., Akolekar, R. and Nicolaides, K. H. 2016. Biophysical and biochemical markers at 30-34 weeks' gestation in the prediction of adverse perinatal outcome. Ultrasound in Obstetrics and Gynecology. 47 (2), pp. 194-202. https://doi.org/10.1002/uog.14928
Screening for trisomies by cell-free DNA testing of maternal blood: consequences of a failed result
Revello, R., Sarno, L., Ispas, A., Akolekar, R. and Nicolaides, K. H. 2016. Screening for trisomies by cell-free DNA testing of maternal blood: consequences of a failed result. Ultrasound in Obstetrics and Gynecology. 47 (6), pp. 698-704. https://doi.org/10.1002/uog.15851
Metformin versus placebo in obese pregnant women without diabetes mellitus
Syngelaki, A., Nicolaides, K. H., Balani, J., Hyer, S., Akolekar, R., Kotecha, R., Pastides, A. and Shehata, H. 2016. Metformin versus placebo in obese pregnant women without diabetes mellitus. New England Journal of Medicine. 374, pp. 434-43. https://doi.org/10.1056/NEJMoa1509819
Prospective first-trimester screening for trisomies by cell-free DNA testing of maternal blood in twin pregnancy
Sarno, L., Revello, R., Hanson, E., Akolekar, R. and Nicolaides, K. H. 2016. Prospective first-trimester screening for trisomies by cell-free DNA testing of maternal blood in twin pregnancy. Ultrasound in Obstetrics and Gynecology. 47 (6), pp. 705-11. https://doi.org/10.1002/uog.15913
Prediction of stillbirth from biochemical and biophysical markers at 11-13 weeks
Mastrodima, S., Akolekar, R., Yerlikaya, G., Tzelepis, T. and Nicolaides, K. H. 2016. Prediction of stillbirth from biochemical and biophysical markers at 11-13 weeks. Ultrasound in Obstetrics and Gynecology. 48 (5), pp. 613-617. https://doi.org/10.1002/uog.17289
Prediction of stillbirth from maternal demographic and pregnancy characteristics
Yerlikaya, G., Akolekar, R., McPherson, K., Syngelaki, A. and Nicolaides, K. H. 2016. Prediction of stillbirth from maternal demographic and pregnancy characteristics. Ultrasound in Obstetrics and Gynecology. 48 (5), pp. 607-612. https://doi.org/10.1002/uog.17290
Endoscopic placental laser coagulation in dichorionic and monochorionic triplet pregnancies
Peeva, G., Chaveeva, P., Gil Guevara, E., Akolekar, R. and Nicolaides, K. H. 2016. Endoscopic placental laser coagulation in dichorionic and monochorionic triplet pregnancies. Fetal Diagnosis and Therapy. 40 (3), pp. 174-180. https://doi.org/10.1159/000443792
Prediction of stillbirth from maternal factors, fetal biometry and uterine artery Doppler at 19-24 weeks
Akolekar, R., Tokunaka, M., Ortega, N., Syngelaki, A. and Nicolaides, K. H. 2016. Prediction of stillbirth from maternal factors, fetal biometry and uterine artery Doppler at 19-24 weeks. Ultrasound in Obstetrics and Gynecology. 48 (5), pp. 624-630. https://doi.org/10.1002/uog.17295
Prediction of stillbirth from placental growth factor at 11-13 weeks
Akolekar, R., Machuca, M., Mendes, M., Paschos, V. and Nicolaides, K. H. 2016. Prediction of stillbirth from placental growth factor at 11-13 weeks. Ultrasound in Obstetrics and Gynecology. 48 (5), pp. 618-623. https://doi.org/10.1002/uog.17288
Prediction of stillbirth from placental growth factor at 19-24 weeks
Aupont J. E., Akolekar, R., Illian, A., Neonakis, S. and Nicolaides, K. H. 2016. Prediction of stillbirth from placental growth factor at 19-24 weeks. Ultrasound in Obstetrics and Gynecology. 48 (5), pp. 631-635. https://doi.org/10.1002/uog.17229
Biophysical and biochemical markers at 35-37 weeks' gestation in the prediction of adverse perinatal outcome
Valiño, N., Giunta, G., Gallo, D. M., Akolekar, R. and Nicolaides, K. H. 2015. Biophysical and biochemical markers at 35-37 weeks' gestation in the prediction of adverse perinatal outcome. Ultrasound in Obstetrics and Gynecology. 47 (2), pp. 203-209. https://doi.org/10.1002/uog.15663