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2. MRI characterization of hemodynamic patterns of human fetuses with cyanotic congenital heart disease

Author

Sun, L., primary, van Amerom, J. F. P., additional, Marini, D., additional, Portnoy, S., additional, Lee, F.‐T., additional, Saini, B. S., additional, Lim, J. M., additional, Aguet, J., additional, Jaeggi, E., additional, Kingdom, J. C., additional, Macgowan, C. K., additional, Miller, S. P., additional, Huang, G., additional, and Seed, M., additional

Published
2021
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6. ISUOG Practice Guidelines (updated): use of Doppler velocimetry in obstetrics

Author

Bhide, A., primary, Acharya, G., additional, Baschat, A., additional, Bilardo, C. M., additional, Brezinka, C., additional, Cafici, D., additional, Ebbing, C., additional, Hernandez‐Andrade, E., additional, Kalache, K., additional, Kingdom, J., additional, Kiserud, T., additional, Kumar, S., additional, Lee, W., additional, Lees, C., additional, Leung, K. Y., additional, Malinger, G., additional, Mari, G., additional, Prefumo, F., additional, Sepulveda, W., additional, and Trudinger, B., additional

Published
2021
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13. Effect of High-dose Folic Acid Supplementation in Pregnancy on Preeclampsia (FACT): Double-blind, Phase III, Randomized Controlled, International, Multicenter Trial

Author

Wen, S.W., primary, White, R.R., additional, Rybak, N., additional, Gaudet, L.M., additional, Robson, S., additional, Hague, W., additional, Simms-Stewart, D., additional, Carroli, G., additional, Smith, G., additional, Fraser, W.D., additional, Wells, G., additional, Davidge, S.T., additional, Kingdom, J., additional, Coyle, D., additional, Fergusson, D., additional, Corsi, D.J., additional, Champagne, J., additional, Sabri, E., additional, Ramsay, T., additional, Mol, B.W.J., additional, Oudijk, M.A., additional, and Walker, M.C., additional

Published
2019
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14. Peripheral cord insertion is associated with adverse pregnancy outcome only when accompanied by clinically significant placental pathology.

Author

Stapleton, D., Darmonkow, A., Ravi Chandran, A., Milligan, N., Saghian, R., Shinar, S., Whitehead, C. L., Hobson, S. R., Serghides, L., Macgowan, C. K., Sled, J. G., Kingdom, J. C., Baschat, A. A., Parks, W. T., and Cahill, L. S.

Subjects
PREGNANCY outcomes, PLACENTA diseases, UMBILICAL cord, PLACENTA, UMBILICAL arteries, PATHOLOGY
Abstract

Objective: To examine the relationship between umbilical cord insertion site, placental pathology and adverse pregnancy outcome in a cohort of normal and complicated pregnancies. Methods: Sonographic measurement of the cord insertion and detailed placental pathology were performed in 309 participants. Associations between cord insertion site, placental pathology and adverse pregnancy outcome (pre‐eclampsia, preterm birth, small‐for‐gestational age) were examined. Results: A total of 93 (30%) participants were identified by pathological examination to have a peripheral cord insertion site. Only 41 of the 93 (44%) peripheral cords were detected by prenatal ultrasound. Peripherally inserted cords were associated significantly (P < 0.0001) with diagnostic placental pathology (most commonly with maternal vascular malperfusion (MVM)); of which 85% had an adverse pregnancy outcome. In cases of isolated peripheral cords, without placental pathology, the incidence of adverse outcome was not statistically different when compared to those with central cord insertion and no placental pathology (31% vs 18%; P = 0.3). A peripheral cord with an abnormal umbilical artery (UA) pulsatility index (PI) corresponded to an adverse outcome in 96% of cases compared to 29% when the UA‐PI was normal. Conclusions: This study demonstrates that peripheral cord insertion is often part of the spectrum of findings of MVM disease and is associated with adverse pregnancy outcome. However, adverse outcome was uncommon when there was an isolated peripheral cord insertion and no placental pathology. Therefore, additional sonographic and biochemical features of MVM should be sought when a peripheral cord is observed. © 2023 International Society of Ultrasound in Obstetrics and Gynecology. [ABSTRACT FROM AUTHOR]

Published
2023
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16. External validation of prognostic models to predict stillbirth using International Prediction of Pregnancy Complications (IPPIC) Network database: individual participant data meta-analysis

Author

Allotey, J., Whittle, R., Snell, K. I. E., Smuk, M., Townsend, R., von Dadelszen, P., Heazell, A. E. P., Magee, L., Smith, G. C. S., Sandall, J., Thilaganathan, B., Zamora, J., Riley, R. D., Khalil, A., Thangaratinam, S., Coomarasamy, A., Kwong, A., Savitri, A. I., Salvesen, K. A., Bhattacharya, S., Uiterwaal, C. S. P. M., Staff, A. C., Andersen, L. B., Olive, E. L., Redman, C., Sletner, L., Daskalakis, G., Macleod, M., Abdollahain, M., Ramirez, J. A., Masse, J., Audibert, F., Magnus, P. M., Jenum, A. K., Baschat, A., Ohkuchi, A., Mcauliffe, F. M., West, J., Askie, L. M., Mone, F., Farrar, D., Zimmerman, P. A., Smits, L. J. M., Riddell, C., Kingdom, J. C., van de Post, J., Illanes, S. E., Holzman, C., van Kuijk, S. M. J., Carbillon, L., Villa, P. M., Eskild, A., Chappell, L., Prefumo, F., Velauthar, L., Seed, P., van Oostwaard, M., Verlohren, S., Poston, L., Ferrazzi, E., Vinter, C. A., Nagata, C., Brown, M., Vollebregt, K. C., Takeda, S., Langenveld, J., Widmer, M., Saito, S., Haavaldsen, C., Carroli, G., Olsen, J., Wolf, H., Zavaleta, N., Eisensee, I., Vergani, P., Lumbiganon, P., Makrides, M., Facchinetti, F., Sequeira, E., Gibson, R., Ferrazzani, S., Frusca, T., Norman, J. E., Figueiro, E. A., Lapaire, O., Laivuori, H., Lykke, J. A., Conde-Agudelo, A., Galindo, A., Mbah, A., Betran, A. P., Herraiz, I., Trogstad, L., Smith, G. G. S., Steegers, E. A. P., Salim, R., Huang, T., Adank, A., Zhang, J., Meschino, W. S., Browne, J. L., Allen, R. E., Costa, F. D. S., Klipstein-Grobusch Browne, K., Crowther, C. A., Jorgensen, J. S., Forest, J. -C., Rumbold, A. R., Mol, B. W., Giguere, Y., Kenny, L. C., Ganzevoort, W., Odibo, A. O., Myers, J., Yeo, S. A., Goffinet, F., Mccowan, L., Pajkrt, E., Teede, H. J., Haddad, B. G., Dekker, G., Kleinrouweler, E. C., Lecarpentier, E., Roberts, C. T., Groen, H., Skrastad, R. B., Heinonen, S., Eero, K., Anggraini, D., Souka, A., Cecatti, J. G., Monterio, I., Pillalis, A., Souza, R., Hawkins, L. A., Gabbay-Benziv, R., Crovetto, F., Figuera, F., Jorgensen, L., Dodds, J., Patel, M., Aviram, A., Papageorghiou, A., Khan, K., Clinicum, HUS Gynecology and Obstetrics, Department of Obstetrics and Gynecology, HUS Children and Adolescents, Lastentautien yksikkö, Children's Hospital, Allotey, J, Whittle, R, Snell, K, Smuk, M, Townsend, R, von Dadelszen, P, Heazell, A, Magee, L, Smith, G, Sandall, J, Thilaganathan, B, Zamora, J, Riley, R, Khalil, A, Thangaratinam, S, Coomarasamy, A, Kwong, A, Savitri, A, Salvesen, K, Bhattacharya, S, Uiterwaal, C, Staff, A, Andersen, L, Olive, E, Redman, C, Sletner, L, Daskalakis, G, Macleod, M, Abdollahain, M, Ramirez, J, Masse, J, Audibert, F, Magnus, P, Jenum, A, Baschat, A, Ohkuchi, A, Mcauliffe, F, West, J, Askie, L, Mone, F, Farrar, D, Zimmerman, P, Smits, L, Riddell, C, Kingdom, J, van de Post, J, Illanes, S, Holzman, C, van Kuijk, S, Carbillon, L, Villa, P, Eskild, A, Chappell, L, Prefumo, F, Velauthar, L, Seed, P, van Oostwaard, M, Verlohren, S, Poston, L, Ferrazzi, E, Vinter, C, Nagata, C, Brown, M, Vollebregt, K, Takeda, S, Langenveld, J, Widmer, M, Saito, S, Haavaldsen, C, Carroli, G, Olsen, J, Wolf, H, Zavaleta, N, Eisensee, I, Vergani, P, Lumbiganon, P, Makrides, M, Facchinetti, F, Sequeira, E, Gibson, R, Ferrazzani, S, Frusca, T, Norman, J, Figueiro, E, Lapaire, O, Laivuori, H, Lykke, J, Conde-Agudelo, A, Galindo, A, Mbah, A, Betran, A, Herraiz, I, Trogstad, L, Steegers, E, Salim, R, Huang, T, Adank, A, Zhang, J, Meschino, W, Browne, J, Allen, R, Costa, F, Klipstein-Grobusch Browne, K, Crowther, C, Jorgensen, J, Forest, J, Rumbold, A, Mol, B, Giguere, Y, Kenny, L, Ganzevoort, W, Odibo, A, Myers, J, Yeo, S, Goffinet, F, Mccowan, L, Pajkrt, E, Teede, H, Haddad, B, Dekker, G, Kleinrouweler, E, Lecarpentier, E, Roberts, C, Groen, H, Skrastad, R, Heinonen, S, Eero, K, Anggraini, D, Souka, A, Cecatti, J, Monterio, I, Pillalis, A, Souza, R, Hawkins, L, Gabbay-Benziv, R, Crovetto, F, Figuera, F, Jorgensen, L, Dodds, J, Patel, M, Aviram, A, Papageorghiou, A, Khan, K, Tampere University, Obstetrics and Gynaecology, APH - Quality of Care, Amsterdam Reproduction & Development (AR&D), APH - Personalized Medicine, APH - Digital Health, and Obstetrics and gynaecology

Subjects
Calibration (statistics), Perinatal Death, Overfitting, Cohort Studies, Fetal Development, 0302 clinical medicine, Discriminative model, 3123 Gynaecology and paediatrics, Models, Pregnancy, GROWTH RESTRICTION, Statistics, Medicine, Prenatal, 030212 general & internal medicine, Ultrasonography, RISK, 030219 obstetrics & reproductive medicine, PRETERM, Radiological and Ultrasound Technology, LOW-DOSE ASPIRIN, DIAGNOSIS TRIPOD, Obstetrics and Gynecology, General Medicine, Statistical, Stillbirth, Prognosis, Pregnancy Complication, external validation, individual participant data, intrauterine death, prediction model, stillbirth, Female, Humans, Infant, Newborn, Models, Statistical, Pregnancy Complications, Regression Analysis, Risk Assessment, Ultrasonography, Prenatal, 3. Good health, PREECLAMPSIA, Meta-analysis, Human, Cohort study, Prognosi, MEDLINE, Regression Analysi, WEEKS GESTATION, 03 medical and health sciences, VELOCIMETRY, Radiology, Nuclear Medicine and imaging, RECURRENCE, business.industry, Infant, Newborn, R1, HYPERTENSIVE DISORDERS, Reproductive Medicine, Sample size determination, Cohort Studie, RG, business, RA, Predictive modelling
Abstract

Objective Stillbirth is a potentially preventable complication of pregnancy. Identifying women at high risk of stillbirth can guide decisions on the need for closer surveillance and timing of delivery in order to prevent fetal death. Prognostic models have been developed to predict the risk of stillbirth, but none has yet been validated externally. In this study, we externally validated published prediction models for stillbirth using individual participant data (IPD) meta-analysis to assess their predictive performance. Methods MEDLINE, EMBASE, DH-DATA and AMED databases were searched from inception to December 2020 to identify studies reporting stillbirth prediction models. Studies that developed or updated prediction models for stillbirth for use at any time during pregnancy were included. IPD from cohorts within the International Prediction of Pregnancy Complications (IPPIC) Network were used to validate externally the identified prediction models whose individual variables were available in the IPD. The risk of bias of the models and cohorts was assessed using the Prediction study Risk Of Bias ASsessment Tool (PROBAST). The discriminative performance of the models was evaluated using the C-statistic, and calibration was assessed using calibration plots, calibration slope and calibration-in-the-large. Performance measures were estimated separately in each cohort, as well as summarized across cohorts using random-effects meta-analysis. Clinical utility was assessed using net benefit. Results Seventeen studies reporting the development of 40 prognostic models for stillbirth were identified. None of the models had been previously validated externally, and the full model equation was reported for only one-fifth (20%, 8/40) of the models. External validation was possible for three of these models, using IPD from 19 cohorts (491 201 pregnant women) within the IPPIC Network database. Based on evaluation of the model development studies, all three models had an overall high risk of bias, according to PROBAST. In the IPD meta-analysis, the models had summary C-statistics ranging from 0.53 to 0.65 and summary calibration slopes ranging from 0.40 to 0.88, with risk predictions that were generally too extreme compared with the observed risks. The models had little to no clinical utility, as assessed by net benefit. However, there remained uncertainty in the performance of some models due to small available sample sizes. Conclusions The three validated stillbirth prediction models showed generally poor and uncertain predictive performance in new data, with limited evidence to support their clinical application. The findings suggest methodological shortcomings in their development, including overfitting. Further research is needed to further validate these and other models, identify stronger prognostic factors and develop more robust prediction models. (c) 2021 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

Published
2022

20. Clinical Opinion: The diagnosis and management of suspected fetal growth restriction: an evidence-based approach

Author

Lees C, Romero R, Stampalija T, Dall'asta A, DeVore G, Prefumo F, Frusca T, Visser GHA, Hobbins J, Baschat A, Bilardo CM, Galan H, Campbell S, Maulik D, Figueras-Retuerta F, Lee W, Unterscheider J, Valensise H, Da Silva Costa F, Salomon L, Poon L, Ferrazzi E, Mari GC, Rizzo G, Kingdom J, Kiserud T, Hecher K, Lees, Christoph C, Romero, Roberto, Stampalija, Tamara, Dall'Asta, Andrea, Devore, Greggory A, Prefumo, Federico, Frusca, Tiziana, Visser, Gerard H A, Hobbins, John C, Baschat, Ahmet A, Bilardo, Caterina M, Galan, Henry L, Campbell, Stuart, Maulik, Dev, Figueras, Francesc, Lee, Wesley, Unterscheider, Julia, Valensise, Herbert, Da Silva Costa, Fabricio, Salomon, Laurent J, Poon, Liona C, Ferrazzi, Enrico, Mari, Giancarlo, Rizzo, Giuseppe, Kingdom, John C, Kiserud, Torvid, and Hecher, Kurt

Subjects
Trial of Umbilical and Fetal Flow in Europe, Prospective Observational Trial to Optimize Pediatric Health, Placenta, randomized controlled trial, fetal biometry, Disproportionate Intrauterine Growth Intervention Trial at Term, abdominal circumference, Umbilical Arteries, small for gestational age, systematic review, Pregnancy, Prenatal, Ultrasonography, Randomized Controlled Trials as Topic, short-term variation, fetal death, Fetal Growth Retardation, Doppler, neurodevelopmental outcome, fetal distress, umbilical artery pH, Fetal Weight, Settore MED/40, embryonic structures, uterine artery, Female, cardiotocography, Human, cesarean delivery, Doppler velocimetry, ductus venosus, fetal growth, longitudinal, middle cerebral artery, umbilical artery Doppler, ductus venosu, Gestational Age, Article, Ultrasonography, Prenatal, Humans, Obstetrics & Reproductive Medicine, Infant, Ultrasonography, Doppler, fetal distre, Umbilical Arterie, 1114 Paediatrics and Reproductive Medicine
Abstract

This study reviewed the literature about the diagnosis, antepartum surveillance, and time of delivery of fetuses suspected to be small for gestational age or growth restricted. Several guidelines have been issued by major professional organizations, including the International Society of Ultrasound in Obstetrics and Gynecology and the Society for Maternal-Fetal Medicine. The differences in recommendations, in particular about Doppler velocimetry of the ductus venosus and middle cerebral artery, have created confusion among clinicians, and this review has intended to clarify and highlight the available evidence that is pertinent to clinical management. A fetus who is small for gestational age is frequently defined as one with an estimated fetal weight of

Published
2022

21. Is middle cerebral artery Doppler related to neonatal and 2-year infant outcome in early fetal growth restriction?

Author

Stampalija, Tamara, primary, Arabin, Birgit, additional, Wolf, Hans, additional, Bilardo, Caterina M., additional, Lees, Christoph, additional, Brezinka, C., additional, Derks, J.B., additional, Diemert, A., additional, Duvekot, J.J., additional, Ferrazzi, E., additional, Frusca, T., additional, Ganzevoort, W., additional, Hecher, K., additional, Kingdom, J., additional, Marlow, N., additional, Marsal, K., additional, Martinelli, P., additional, Ostermayer, E., additional, Papageorghiou, A.T., additional, Schlembach, D., additional, Schneider, K.T.M., additional, Thilaganathan, B., additional, Thornton, J., additional, Todros, T., additional, Valcamonico, A., additional, Valensise, H., additional, van Wassenaer-Leemhuis, A, additional, Visser, G.H.A., additional, Aktas, A., additional, Borgione, S., additional, Chaoui, R., additional, Cornette, J.M.J., additional, Diehl, T., additional, van Eyck, J, additional, Fratelli, N., additional, van Haastert, I.C., additional, Lobmaier, S., additional, Lopriore, E., additional, Missfelder-Lobos, H., additional, Mansi, G., additional, Martelli, P., additional, Maso, G., additional, Maurer-Fellbaum, U., additional, Mensing van Charante, N., additional, Mulder-de Tollenaer, S., additional, Napolitano, R., additional, Oberto, M, additional, Oepkes, D., additional, Ogge, G., additional, van der Post, J.A.M., additional, Prefumo, F., additional, Preston, L., additional, Raimondi, F., additional, Reiss, I.K.M., additional, Scheepers, L.S., additional, Skabar, A., additional, Spaanderman, M., additional, Weisglas-Kuperus, N., additional, and Zimmermann, A., additional

Published
2017
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23. Antepartum Dalteparin Versus no Antepartum Dalteparin for the Prevention of Pregnancy Complications in Pregnant Women With Thrombophilia (TIPPS)

Author

Rodger, M.A., primary, Hague, W.M., additional, Kingdom, J., additional, Kahn, S.R., additional, Karovitch, A., additional, Sermer, M., additional, Clement, A.M., additional, Coat, S., additional, Chan, W.S., additional, Said, J., additional, Rey, E., additional, Robinson, S., additional, Khurana, R., additional, Demers, C., additional, Kovacs, M.J., additional, Solymoss, S., additional, Hinshaw, K., additional, Dwyer, J., additional, Smith, G., additional, McDonald, S., additional, Newstead-Angel, J., additional, McLeod, A., additional, Khandelwal, M., additional, Silver, R.M., additional, Le Gal, G., additional, Greer, I.A., additional, Keely, E., additional, Rosene-Montella, K., additional, Walker, M., additional, and Wells, P.S., additional

Published
2015
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34. Validation and development of models using clinical, biochemical and ultrasound markers for predicting pre-eclampsia: An individual participant data meta-analysis

Author

Allotey, J. Snell, K.I.E. Smuk, M. Hooper, R. Chan, C.L. Ahmed, A. Chappell, L.C. von Dadelszen, P. Dodds, J. Green, M. Kenny, L. Khalil, A. Khan, K.S. Mol, B.W. Myers, J. Poston, L. Thilaganathan, B. Staff, A.C. Smith, G.C.S. Ganzevoort, W. Laivuori, H. Odibo, A.O. Ramírez, J.A. Kingdom, J. Daskalakis, G. Farrar, D. Baschat, A.A. Seed, P.T. Prefumo, F. da Silva Costa, F. Groen, H. Audibert, F. Massé, J. Skråstad, R.B. Salvesen, K.A. Haavaldsen, C. Nagata, C. Rumbold, A.R. Heinonen, S. Askie, L.M. Smits, L.J.M. Vinter, C.A. Magnus, P.M. Eero, K. Villa, P.M. Jenum, A.K. Andersen, L.B. Norman, J.E. Ohkuchi, A. Eskild, A. Bhattacharya, S. McAuliffe, F.M. Galindo, A. Herraiz, I. Carbillon, L. Klipstein-Grobusch, K. Yeo, S. Teede, H.J. Browne, J.L. Moons, K.G.M. Riley, R.D. Thangaratinam, S. The IPPIC Collaborative Network

Abstract

Background: Pre-eclampsia is a leading cause of maternal and perinatal mortality and morbidity. Early identification of women at risk is needed to plan management. Objectives: To assess the performance of existing pre-eclampsia prediction models and to develop and validate models for pre-eclampsia using individual participant data meta-analysis. We also estimated the prognostic value of individual markers. Design: This was an individual participant data meta-analysis of cohort studies. Setting: Source data from secondary and tertiary care. Predictors: We identified predictors from systematic reviews, and prioritised for importance in an international survey. Primary outcomes: Early-onset (delivery at < 34 weeks’ gestation), late-onset (delivery at ≥ 34 weeks’ gestation) and any-onset pre-eclampsia. Analysis: We externally validated existing prediction models in UK cohorts and reported their performance in terms of discrimination and calibration.We developed and validated 12 new models based on clinical characteristics, clinical characteristics and biochemical markers, and clinical characteristics and ultrasound markers in the first and second trimesters. We summarised the data set-specific performance of each model using a random-effects meta-analysis. Discrimination was considered promising for C-statistics of ≥ 0.7, and calibration was considered good if the slope was near 1 and calibration-in-the-large was near 0. Heterogeneity was quantified using I2 and 2. A decision curve analysis was undertaken to determine the clinical utility (net benefit) of the models. We reported the unadjusted prognostic value of individual predictors for pre-eclampsia as odds ratios with 95% confidence and prediction intervals. Results: The International Prediction of Pregnancy Complications network comprised 78 studies (3,570,993 singleton pregnancies) identified from systematic reviews of tests to predict pre-eclampsia. Twenty-four of the 131 published prediction models could be validated in 11 UK cohorts. Summary C-statistics were between 0.6 and 0.7 for most models, and calibration was generally poor owing to large between-study heterogeneity, suggesting model overfitting. The clinical utility of the models varied between showing net harm to showing minimal or no net benefit. The average discrimination for IPPIC models ranged between 0.68 and 0.83. This was highest for the second-trimester clinical characteristics and biochemical markers model to predict early-onset pre-eclampsia, and lowest for the first-trimester clinical characteristics models to predict any pre-eclampsia. Calibration performance was heterogeneous across studies. Net benefit was observed for International Prediction of Pregnancy Complications first and second-trimester clinical characteristics and clinical characteristics and biochemical markers models predicting any pre-eclampsia, when validated in singleton nulliparous women managed in the UK NHS. History of hypertension, parity, smoking, mode of conception, placental growth factor and uterine artery pulsatility index had the strongest unadjusted associations with pre-eclampsia. Limitations: Variations in study population characteristics, type of predictors reported, too few events in some validation cohorts and the type of measurements contributed to heterogeneity in performance of the International Prediction of Pregnancy Complications models. Some published models were not validated because model predictors were unavailable in the individual participant data. Conclusion: For models that could be validated, predictive performance was generally poor across data sets. Although the International Prediction of Pregnancy Complications models show good predictive performance on average, and in the singleton nulliparous population, heterogeneity in calibration performance is likely across settings. © 2020, NIHR Journals Library. All rights reserved.

Published
2020

42. 293 A translational proteomics analysis of the blood-tissue interface in the vascular bed of the mouse placenta identifies markers of human vascular diseases

Author

Sharma, P., primary, Cox, B., additional, Evangelou, A.I., additional, Whiteley, K., additional, Ignatchenko, V., additional, Ignatchenko, A., additional, Baczyk, D., additional, Czikk, M., additional, Kingdom, J., additional, Rossant, J., additional, Gramolini, A.O., additional, Adamson, S.L., additional, and Kislinger, T., additional

Published
2011
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