Value of second-trimester uterine artery pulsatility index in pregnancies with systemic lupus erythematosus and/or antiphospholipid syndrome

Canto, M. J.; Ortiz-Santamaría, Vera; Palau, Josep; Cuquet, Jordi; Ojeda, F.

doi:10.1080/14767058.2021.1918090

Cited by 2 publications

(2 citation statements)

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“…In pregnancies complicated by maternal SLE, increased impedance to flow in the UtAs is associated with an increased risk of SGA 38 . Accordingly, Canto et al 39 . determined that abnormal second‐trimester UtA‐PI is highly predictive of adverse perinatal outcomes in pregnancies affected by SLE or APS.…”

Section: Discussionmentioning

confidence: 99%

Prediction by uterine artery Doppler screening of small‐for‐gestational‐age neonates at 19–24 weeks' gestation

Tai

Lee

et al. 2024

Ultrasound in Obstet & Gyne

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ObjectiveSmall‐for‐gestational‐age (SGA) neonates are at increased risk for perinatal mortality and morbidity. However, the performance of uterine artery pulsatility index values (UtA‐PI) at 19‐24 gestational weeks to predict delivery of SGA neonates is controversial in the literature, and there is no such study in Chinese population. We aimed to investigate the performance of UtA‐PI in the prediction of SGA neonates in Chinese population.MethodA retrospective cohort study was conducted between January 2010 and June 2018. Doppler ultrasonography was performed at 19‐24 gestational weeks. SGA was defined as birthweight below the 10th centiles according to the INTERGROWTH‐21st fetal growth standards. The performance of UtA‐PI to predict SGA neonates was assessed using receiver operating characteristic curve (ROC) analysis.ResultsWe included 6964 singleton pregnancies, and there were 748 (9.9%) women who delivered SGA neonates including 115 (9%) women with preterm delivery. UtA‐PI was associated with the risk of SGA in both SGA delivered at <37 gestational week (preterm SGA) and SGA ≥37th gestational week (term SGA). The areas under the ROC (AUCs) for UtA‐PI were 75.8% [95% confidence interval (CI) 69.3%‐82.3%] and 64.4% (95% CI 61.5%‐67.3%) for preterm SGA and term SGA. The performance of combined screening by maternal demographic characteristics and estimated fetal weight in detection of preterm SGA and term SGA was improved by the addition of UtA‐PI. However, the increase in AUC by adding UtA‐PI to maternal demographic characteristics and estimated fetal weight was only modest (4.9% for preterm SGA and 2.4% for term SGA).ConclusionThis study is the first Chinese study which has evaluated the role of UtA‐PI at 19‐24 weeks’ gestation in the prediction of SGA. Our findings suggest that UtA‐PI can improve the screening performance of SGA on top of traditional risk factors, and the improvement was greater in predicting preterm SGA than term SGA.This article is protected by copyright. All rights reserved.

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Section: Discussionmentioning

confidence: 99%

Prediction by uterine artery Doppler screening of small‐for‐gestational‐age neonates at 19–24 weeks' gestation

Tai

Lee

et al. 2024

Ultrasound in Obstet & Gyne

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“…Our study contributes to the existing literature in three major aspects. First, because most previous studies ( 37 , 38 , 69 ) focused on data from the second trimester to predict the risk of APO in women with SLE, data from first trimester was urgent needed. For this reason, we specifically focused on women in early and mid-pregnancy.…”

Section: Discussionmentioning

confidence: 99%

Potential genetic biomarkers predict adverse pregnancy outcome during early and mid-pregnancy in women with systemic lupus erythematosus

et al. 2022

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BackgroundEffectively predicting the risk of adverse pregnancy outcome (APO) in women with systemic lupus erythematosus (SLE) during early and mid-pregnancy is a challenge. This study was aimed to identify potential markers for early prediction of APO risk in women with SLE.MethodsThe GSE108497 gene expression dataset containing 120 samples (36 patients, 84 controls) was downloaded from the Gene Expression Omnibus database. Weighted gene co-expression network analysis (WGCNA) was performed, and differentially expressed genes (DEGs) were screened to define candidate APO marker genes. Next, three individual machine learning methods, random forest, support vector machine-recursive feature elimination, and least absolute shrinkage and selection operator, were combined to identify feature genes from the APO candidate set. The predictive performance of feature genes for APO risk was assessed using area under the receiver operating characteristic curve (AUC) and calibration curves. The potential functions of these feature genes were finally analyzed by conventional gene set enrichment analysis and CIBERSORT algorithm analysis.ResultsWe identified 321 significantly up-regulated genes and 307 down-regulated genes between patients and controls, along with 181 potential functionally associated genes in the WGCNA analysis. By integrating these results, we revealed 70 APO candidate genes. Three feature genes, SEZ6, NRAD1, and LPAR4, were identified by machine learning methods. Of these, SEZ6 (AUC = 0.753) showed the highest in-sample predictive performance for APO risk in pregnant women with SLE, followed by NRAD1 (AUC = 0.694) and LPAR4 (AUC = 0.654). After performing leave-one-out cross validation, corresponding AUCs for SEZ6, NRAD1, and LPAR4 were 0.731, 0.668, and 0.626, respectively. Moreover, CIBERSORT analysis showed a positive correlation between regulatory T cell levels and SEZ6 expression (P < 0.01), along with a negative correlation between M2 macrophages levels and LPAR4 expression (P < 0.01).ConclusionsOur preliminary findings suggested that SEZ6, NRAD1, and LPAR4 might represent the useful genetic biomarkers for predicting APO risk during early and mid-pregnancy in women with SLE, and enhanced our understanding of the origins of pregnancy complications in pregnant women with SLE. However, further validation was required.

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Value of second-trimester uterine artery pulsatility index in pregnancies with systemic lupus erythematosus and/or antiphospholipid syndrome

Cited by 2 publications

References 34 publications

Prediction by uterine artery Doppler screening of small‐for‐gestational‐age neonates at 19–24 weeks' gestation

Prediction by uterine artery Doppler screening of small‐for‐gestational‐age neonates at 19–24 weeks' gestation

Potential genetic biomarkers predict adverse pregnancy outcome during early and mid-pregnancy in women with systemic lupus erythematosus

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