Publications by authors named "J A Forest"
First-Trimester Soluble sFlt-1 for the Prediction of Preterm Preeclampsia.
J Obstet Gynaecol Can
December 2024
While soluble fms-like tyrosine kinase 1 (sFlt-1) is used to predict preeclampsia (PE) and its severity in late pregnancy, we aimed to clarify its role in early pregnancy. Using prospective cohorts, we estimated the association between sFlt-1, adjusted for gestational age, and preterm PE. sFlt-1 was significantly decreased in the first trimester, mostly before the 13th week, and significantly increased in the third trimester in those who developed preterm PE and particularly early-onset PE.
View Article and Find Full Text PDFObjective: In pediatrics, weight-based doses can be very small, leading to measuring tiny volumes of the commercial desmopressin nasal solution at 0.1mg/mL, which reduces precision and increases the risk of error. Since stability of the desmopressin acetate solution diluted at 0.
View Article and Find Full Text PDFObjectives: To estimate the association between low first-trimester maternal serum placental growth factor (PlGF) and pregnancy-associated plasma protein A (PAPP-A) and the risk of placenta-mediated complications.
Methods: We performed a secondary analysis of PREDICTION study including nulliparous participants recruited at 11-14 weeks of pregnancy. First-trimester PlGF and PAPP-A were reported in multiples of the median (MoM) adjusted for maternal characteristics and gestational age.
Article Synopsis
- Preterm birth and preeclampsia are major public health issues that can harm infants, and the study investigates the role of Cytomegalovirus (CMV) in these outcomes.
- Analyzing data from over 6,000 pregnant women in Quebec, researchers found a significant association between CMV seropositivity and increased risks of both preterm birth and preeclampsia.
- The analysis revealed that most of the risk from CMV for preterm birth is direct, and future research should focus on ways to prevent CMV infections to potentially reduce these pregnancy complications.
Objective: To predict birth weight at various potential gestational ages of delivery based on data routinely available at the first antenatal visit.
Design: Individual participant data meta-analysis.
Data Sources: Individual participant data of four cohorts (237 228 pregnancies) from the International Prediction of Pregnancy Complications (IPPIC) network dataset.