Objective: To explore the optimal cutoffs of growth discordance for the risk of preeclampsia in twin pregnancies.

Methods: A retrospective cohort study in a university hospital which included twins delivered from February 2013 to September 2020. Restrictive cubic spline (RCS) model was applied to the trend of intertwin birthweight difference (BWD) with the risk of preeclampsia. Logistic regression and subgroup analysis were performed to find the cut-off with statistical significance and clinical meaningfulness.

Results: A total of 2,631 women pregnant with twins were enrolled. RCS showed a nonlinear upward trend of preeclampsia with BWD, and the BWD of 15% was the initial rising point. With the confounders adjusted, only the group with BWD ≥ 25% was found to be significantly associated with an increased risk of preeclampsia (adjusted odds ratio [aOR], 2.44; 95% confidence interval [CI]: 1.74-3.42). Additionally, subgroup analysis showed that both monochorionic (MC) and small for gestational age (SGA) twins were more likely to complicate with preeclampsia.

Conclusion: The growth discordance of 15% during pregnancy may be the preventive point of preeclampsia, and 25% may be the interventional point.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884673PMC
http://dx.doi.org/10.3389/fcvm.2022.1073729DOI Listing

Publication Analysis

Top Keywords

risk preeclampsia
16
growth discordance
12
optimal cutoffs
8
cutoffs growth
8
discordance risk
8
preeclampsia twin
8
retrospective cohort
8
cohort study
8
subgroup analysis
8
preeclampsia
6

Similar Publications

Sex hormone-binding globulin (SHBG) regulates sex hormone availability and is influenced by metabolic factors. Variations in SHBG levels during pregnancy may affect the development of hypertensive disorders such as gestational hypertension (GH) and preeclampsia (PE). This systematic review and meta-analysis explores the potential of SHBG as a biomarker for predicting GH and PE.

View Article and Find Full Text PDF

Preeclampsia is one of the leading causes of maternal and perinatal morbidity and mortality. Early prediction is the need of the hour so that interventions like aspirin prophylaxis can be started. Nowadays, machine learning (ML) is increasingly being used to predict the disease and its prognosis.

View Article and Find Full Text PDF

Introduction: Data on the characteristics and outcomes of pregnancy and among patients with Fontan physiology are limited. We aimed to evaluate the immediate and long-term outcomes among these patients who were followed at our centre.

Methods: We included adult patients who had undergone Fontan surgery for congenital heart disease and were pregnant between 1994 and 2021.

View Article and Find Full Text PDF

Background: The purpose of the current study was to compare the color Doppler findings of uterine arteries and perinatal outcomes in pregnant women with and without previous cesarean section (C/S).

Methods: This cohort study enrolled 308 pregnant women aged 20-35 without underlying diseases, with at least one previous pregnancy and childbirth. The participants were divided into two groups: 154 women without C/S and 154 women with C/S.

View Article and Find Full Text PDF

Introduction: Urinary tract infections are prevalent among pregnant women and can lead to serious maternal and neonatal complications. Hypertensive disorders of pregnancy, a leading cause of maternal morbidity, may be associated with urinary tract infections. This study investigates whether bacteriuria detected via routine urinalysis, a standard screening in Indonesia, contributes to hypertension risk during pregnancy, aiming to enhance clinical management and screening protocols.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!