Emily Wright1, Melanie C Audette, Xiang Y Ye, Sarah Keating, Barry Hoffman, Stephen J Lye, Prakesh S Shah, John C Kingdom. 1. Department of Obstetrics & Gynaecology, Maternal-Fetal Medicine Division, the Lunenfeld-Tanenbaum Research Institute, the Maternal-Infant Care Research Centre, the Department of Pediatrics, and the Department of Pathology and Laboratory Medicine at Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada.
Abstract
OBJECTIVE: To evaluate the disease burden of placental maternal vascular malperfusion pathology in a low-risk nulliparous population and test the hypothesis that a multiparameter model in the second trimester can predict maternal vascular malperfusion with high precision. METHODS: A single-center, prospective cohort study was conducted in healthy nulliparous women. Maternal vascular malperfusion disease burden was estimated by incidence, relative risk (RR), and population-attributable risk percent. Maternal risk factors, serum biomarkers, Doppler, and placental morphologic ultrasonography were examined in isolation and in combination for prediction of this placental pathology. RESULTS: The incidence of maternal vascular malperfusion pathology was 8.4% (72/856). Women with pathology had higher risk of preeclampsia (8.33% compared with 1.79%; RR 4.67, 95% CI 1.85-11.77%; population-attributable risk 23.6%, 95% CI 16.9-31.6%), small for gestational age (SGA) (47.22% compared with 9.45%; RR 5.00, 95% CI 3.6-6.93%; population-attributable risk 25.2%, 95% CI 22.1-28.5%), and the composite of adverse outcomes (defined as SGA or preeclampsia) (47.22% compared with 10.59%; RR 4.46, 95% CI 3.25-6.13; population-attributable risk 22.5%, 95% CI 19.8-25.5%). The combination of parameters was superior to individual modalities alone in predicting maternal vascular malperfusion, but achieved only moderate precision (area under the curve 0.77, 95% CI 0.71-0.84). CONCLUSION: One in 12 healthy nulliparous women develop maternal vascular malperfusion placental pathology, and these pregnancies had a 4.5 times higher risk of developing preeclampsia or delivering a SGA neonate compared with those without this pathology. A multiparameter model achieved modest precision to predict placental maternal vascular malperfusion. Importantly, in low-risk pregnancies, maternal vascular malperfusion accounts for one fourth of pregnancy outcomes with SGA or preeclampsia. The low population-attributable risk of this placental pathology for SGA and preeclampsia illustrates the importance of discovering novel associations to reduce the disease burden of these pregnancy complications.
OBJECTIVE: To evaluate the disease burden of placental maternal vascular malperfusion pathology in a low-risk nulliparous population and test the hypothesis that a multiparameter model in the second trimester can predict maternal vascular malperfusion with high precision. METHODS: A single-center, prospective cohort study was conducted in healthy nulliparous women. Maternal vascular malperfusion disease burden was estimated by incidence, relative risk (RR), and population-attributable risk percent. Maternal risk factors, serum biomarkers, Doppler, and placental morphologic ultrasonography were examined in isolation and in combination for prediction of this placental pathology. RESULTS: The incidence of maternal vascular malperfusion pathology was 8.4% (72/856). Women with pathology had higher risk of preeclampsia (8.33% compared with 1.79%; RR 4.67, 95% CI 1.85-11.77%; population-attributable risk 23.6%, 95% CI 16.9-31.6%), small for gestational age (SGA) (47.22% compared with 9.45%; RR 5.00, 95% CI 3.6-6.93%; population-attributable risk 25.2%, 95% CI 22.1-28.5%), and the composite of adverse outcomes (defined as SGA or preeclampsia) (47.22% compared with 10.59%; RR 4.46, 95% CI 3.25-6.13; population-attributable risk 22.5%, 95% CI 19.8-25.5%). The combination of parameters was superior to individual modalities alone in predicting maternal vascular malperfusion, but achieved only moderate precision (area under the curve 0.77, 95% CI 0.71-0.84). CONCLUSION: One in 12 healthy nulliparous women develop maternal vascular malperfusion placental pathology, and these pregnancies had a 4.5 times higher risk of developing preeclampsia or delivering a SGA neonate compared with those without this pathology. A multiparameter model achieved modest precision to predict placental maternal vascular malperfusion. Importantly, in low-risk pregnancies, maternal vascular malperfusion accounts for one fourth of pregnancy outcomes with SGA or preeclampsia. The low population-attributable risk of this placental pathology for SGA and preeclampsia illustrates the importance of discovering novel associations to reduce the disease burden of these pregnancy complications.
Authors: Sarah K Debebe; Lindsay S Cahill; John C Kingdom; Clare L Whitehead; Anjana Ravi Chandran; W Tony Parks; Lena Serghides; Ahmet Baschat; Christopher K Macgowan; John G Sled Journal: Placenta Date: 2020-03-23 Impact factor: 3.481
Authors: Lin Wang; Jeffrey M Cochran; Tiffany Ko; Wesley B Baker; Kenneth Abramson; Lian He; David R Busch; Venki Kavuri; Rebecca L Linn; Samuel Parry; Arjun G Yodh; Nadav Schwartz Journal: Nat Biomed Eng Date: 2022-08-15 Impact factor: 29.234
Authors: Alexander J Layden; Marnie Bertolet; W Tony Parks; James M Roberts; Jennifer J Adibi; Janet M Catov Journal: Am J Obstet Gynecol Date: 2022-03-11 Impact factor: 10.693
Authors: Lisa M Bebell; Kalynn Parks; Mylinh H Le; Joseph Ngonzi; Julian Adong; Adeline A Boatin; Ingrid V Bassett; Mark J Siedner; Alison D Gernand; Drucilla J Roberts Journal: J Infect Dis Date: 2021-12-08 Impact factor: 5.226
Authors: John Allotey; Kym Ie Snell; Melanie Smuk; Richard Hooper; Claire L Chan; Asif Ahmed; Lucy C Chappell; Peter von Dadelszen; Julie Dodds; Marcus Green; Louise Kenny; Asma Khalil; Khalid S Khan; Ben W Mol; Jenny Myers; Lucilla Poston; Basky Thilaganathan; Anne C Staff; Gordon Cs Smith; Wessel Ganzevoort; Hannele Laivuori; Anthony O Odibo; Javier A Ramírez; John Kingdom; George Daskalakis; Diane Farrar; Ahmet A Baschat; Paul T Seed; Federico Prefumo; Fabricio da Silva Costa; Henk Groen; Francois Audibert; Jacques Masse; Ragnhild B Skråstad; Kjell Å Salvesen; Camilla Haavaldsen; Chie Nagata; Alice R Rumbold; Seppo Heinonen; Lisa M Askie; Luc Jm Smits; Christina A Vinter; Per M Magnus; Kajantie Eero; Pia M Villa; Anne K Jenum; Louise B Andersen; Jane E Norman; Akihide Ohkuchi; Anne Eskild; Sohinee Bhattacharya; Fionnuala M McAuliffe; Alberto Galindo; Ignacio Herraiz; Lionel Carbillon; Kerstin Klipstein-Grobusch; SeonAe Yeo; Helena J Teede; Joyce L Browne; Karel Gm Moons; Richard D Riley; Shakila Thangaratinam Journal: Health Technol Assess Date: 2020-12 Impact factor: 4.014
Authors: Andrew D Williams; Jenna Kanner; Katherine L Grantz; Marion Ouidir; Shanshan Sheehy; Seth Sherman; Candace Robledo; Pauline Mendola Journal: Environ Res Date: 2021-04-18 Impact factor: 8.431
Authors: Raymond W Redline; Sanjita Ravishankar; Christina M Bagby; Shahrazad T Saab; Shabnam Zarei Journal: Mod Pathol Date: 2021-02-08 Impact factor: 8.209