Abstract

To explore the associations between high uterine artery pulsatility index (UtA-PI) values and congenital heart disease (CHD) risk and whether they differed between singleton and multiple pregnancies. This hospital-based cohort study involving 52,047 pregnant women who underwent prenatal examinations from 2012 to 2016. Infants born to the included pregnant women were followed until 42 days after birth to identify those with CHDs. Generalized estimating equations were used to estimate the associations of high right UtA-PI (> 95th percentile) values with maternal preeclampsia and fetal CHDs. Logistic regression analyses were conducted using path analysis models to quantify the effect of high right UtA-PI values on fetal CHD risk. A total of 42,552 women and 43,470 infants (147 with CHDs) were included. Preeclampsia risk was associated with a high right UtA-PI in singleton-pregnant women (adjusted PR, 3.01; 95% CI 2.57–3.52). CHD risk was marginally associated with a high right UtA-PI in singleton-pregnant women (adjusted PR, 2.26, 95% CI 1.03–4.95). Considering only two factors, 96.0% of the fetal CHD risk was mediated by preeclampsia in singleton-pregnant women, while 93.8% of the risk was related to a high right UtA-PI in multiple-pregnant women. A high right UtA-PI was marginally associated with an increased fetal CHD risk in singleton-pregnant women and might play an important role in multiple-pregnant women. Further studies are warranted to confirm these findings given the high loss to follow-up rate.

Details

Title
Association between abnormal uterine artery pulsatility index and the risk of fetal congenital heart defects: a hospital-based cohort study
Author
Zhu, Chen 1 ; Xu, Cheng-Jie 2 ; Wu, Jiang-Nan 3 ; Zhao, Wei 1 ; Hu, Yan-Lai 1 ; Yao, Ying 1 ; Ren, Yun-Yun 1 

 Department of Ultrasound, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China (GRID:grid.412312.7) (ISNI:0000 0004 1755 1415) 
 Department of Information Technology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China (GRID:grid.412312.7) (ISNI:0000 0004 1755 1415) 
 Fudan University, Department of Clinical Epidemiology, Obstetrics and Gynecology Hospital, Shanghai, China (GRID:grid.8547.e) (ISNI:0000 0001 0125 2443) 
Pages
22924
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2904485360
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.