scholarly journals OC04.03: Screening for pre-eclampsia in the first trimester based on maternal characteristics, biophysical parameters and angiogenic factors

2014 ◽  
Vol 44 (S1) ◽  
pp. 8-8
Author(s):  
F. Crovetto ◽  
F. Figueras ◽  
S. Triunfo ◽  
F. Crispi ◽  
V. Rodriguez-Sureda ◽  
...  
Keyword(s):  
First Trimester ◽  
Angiogenic Factors ◽  
Biophysical Parameters ◽  
Maternal Characteristics

First trimester screening for early and late preeclampsia based on maternal characteristics, biophysical parameters, and angiogenic factors

2014 ◽  
Vol 35 (2) ◽  
pp. 183-191 ◽  
Author(s):  
Francesca Crovetto ◽  
Francesc Figueras ◽  
Stefania Triunfo ◽  
Fatima Crispi ◽  
Victor Rodriguez-Sureda ◽  
...  
Keyword(s):  
First Trimester ◽  
Angiogenic Factors ◽  
First Trimester Screening ◽  
Biophysical Parameters ◽  
Maternal Characteristics ◽  
Trimester Screening

201: Relationship between maternal characteristics and A-disintegrin and metalloprotease (ADAM12S) in the first trimester

2009 ◽  
Vol 201 (6) ◽  
pp. S87
Author(s):  
Yan Zhong ◽  
Mark Longtine ◽  
Jean Schoenborn ◽  
Methodius Tuuli ◽  
Linda Odibo ◽  
...  
Keyword(s):  
First Trimester ◽  
Maternal Characteristics

First trimester prediction of maternal glycemic status

2015 ◽  
Vol 43 (3) ◽  
Author(s):  
Rinat Gabbay-Benziv ◽  
Lauren E. Doyle ◽  
Miriam Blitzer ◽  
Ahmet A. Baschat
Keyword(s):  
Risk Score ◽  
Predictive Value ◽  
Challenge Test ◽  
Area Under The Curve ◽  
First Trimester ◽  
Tolerance Test ◽  
Oral Glucose ◽  
Operating Characteristics ◽  
Maternal Characteristics ◽  
Predictive Algorithm

AbstractTo predict gestational diabetes mellitus (GDM) or normoglycemic status using first trimester maternal characteristics.We used data from a prospective cohort study. First trimester maternal characteristics were compared between women with and without GDM. Association of these variables with sugar values at glucose challenge test (GCT) and subsequent GDM was tested to identify key parameters. A predictive algorithm for GDM was developed and receiver operating characteristics (ROC) statistics was used to derive the optimal risk score. We defined normoglycemic state, when GCT and all four sugar values at oral glucose tolerance test, whenever obtained, were normal. Using same statistical approach, we developed an algorithm to predict the normoglycemic state.Maternal age, race, prior GDM, first trimester BMI, and systolic blood pressure (SBP) were all significantly associated with GDM. Age, BMI, and SBP were also associated with GCT values. The logistic regression analysis constructed equation and the calculated risk score yielded sensitivity, specificity, positive predictive value, and negative predictive value of 85%, 62%, 13.8%, and 98.3% for a cut-off value of 0.042, respectively (ROC-AUC – area under the curve 0.819, CI – confidence interval 0.769–0.868). The model constructed for normoglycemia prediction demonstrated lower performance (ROC-AUC 0.707, CI 0.668–0.746).GDM prediction can be achieved during the first trimester encounter by integration of maternal characteristics and basic measurements while normoglycemic status prediction is less effective.

First trimester maternal characteristics, Doppler parameters and serum analytes after preeclampsia

2013 ◽  
Vol 33 (2) ◽  
pp. 204-214 ◽  
Author(s):  
Dana M. Block-Abraham ◽  
Ozhan M. Turan ◽  
Lauren E. Doyle ◽  
Jerome N. Kopelman ◽  
Robert O. Atlas ◽  
...  
Keyword(s):  
First Trimester ◽  
Maternal Characteristics

Modified Multiple Marker Aneuploidy Screening as a Primary Screening Test for Preeclampsia

2021 ◽  
Author(s):  
Tianhua Huang ◽  
H. Melanie Bedford ◽  
Shamim Rashid ◽  
Evasha Rasasakaram ◽  
Megan Priston ◽  
...  
Keyword(s):  
Preterm Birth ◽  
Early Onset ◽  
Biochemical Markers ◽  
Gestational Hypertension ◽  
First Trimester ◽  
Second Trimester ◽  
Aneuploidy Screening ◽  
Maternal Characteristics ◽  
Screening Performance ◽  
Β Hcg

Abstract Background: Maternal biochemical markers used in multiple marker aneuploidy screening have been associated with adverse pregnancy outcomes. This study aims to assess if a combination of maternal characteristics and biochemical markers in the first and second trimesters can be used to screen for preeclampsia (PE), gestational hypertension and preterm birth. Methods: This case-control study used information on maternal characteristics and residual blood samples from pregnant women who have undergone multiple marker aneuploidy screening. The median multiple of the median (MoM) of first and second trimester biochemical markers in cases (women with PE, gestational hypertension and preterm birth) and controls were compared. Biochemical markers included pregnancy-associated plasma protein A (PAPP-A), placental growth factor (PlGF), human chorionic gonadotropin (hCG), alpha feto-protein (AFP), unconjugated estriol (uE3) and Inhibin A. Logistic regression analysis was used to estimate screening performance using different marker combinations. Screening performance was defined as detection rate (DR) and false positive rate (FPR). Preterm and early-onset preeclampsia PE were defined as women with PE delivered < 37 and < 34 weeks of gestation.Results: There were 147 pregnancies with PE (81 term, 49 preterm and 17 early-onset), 295 with gestational hypertension, and 166 preterm birth. Compared to controls, PE cases had significantly lower median MoM of PAPP-A (0.77 vs 1.10, p<0.0001), PlGF (0.76 vs 1.01, p<0.0001) and free-β hCG (0.81 vs. 0.98, p<0.001) in the first trimester along with PAPP-A (0.82 vs 0.99, p<0.01) and PlGF (0.75 vs 1.02, p<0.0001) in the second trimester. The lowest first trimester PAPP-A, PlGF and free β-hCG were seen in those with preterm and early-onset PE. At a 20% FPR, 67% of preterm and 76% of early-onset PE cases can be predicted using a combination of maternal characteristics with PAPP-A and PlGF in the first trimester.Conclusions: Maternal characteristics with first trimester PAPP-A and PlGF measured for aneuploidy screening provided reasonable accuracy in identifying women at risk of developing early onset PE, allowing triage of high-risk women for further investigation and risk-reducing therapy.

scholarly journals First trimester serum angiogenic and anti-angiogenic factors in women with chronic hypertension for the prediction of preeclampsia

2020 ◽  
Vol 222 (4) ◽  
pp. 374.e1-374.e9 ◽  
Author(s):  
Diane Nzelu ◽  
Dan Biris ◽  
Theodoros Karampitsakos ◽  
Kypros K. Nicolaides ◽  
Nikos A. Kametas
Keyword(s):  
First Trimester ◽  
Angiogenic Factors ◽  
Chronic Hypertension

scholarly journals Food and Nutrient Intake during Pregnancy in Relation to Maternal Characteristics: Results from the NICE Birth Cohort in Northern Sweden

Nutrients ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 1680 ◽  
Author(s):  
Mia Stråvik ◽  
Karin Jonsson ◽  
Olle Hartvigsson ◽  
Anna Sandin ◽  
Agnes E. Wold ◽  
...  
Keyword(s):  
Birth Cohort ◽  
Observational Studies ◽  
Daily Intake ◽  
First Trimester ◽  
Northern Sweden ◽  
Maternal Characteristics ◽  
Rural Town ◽  
Pregnancy Smoking ◽  
Food And Nutrient Intake ◽  
High Level

Linkages between diet and other lifestyle factors may confound observational studies. We used cluster analysis to analyze how the intake of food and nutrients during pregnancy co-varies with lifestyle, clinical and demographic factors in 567 women who participated in the NICE (nutritional impact on immunological maturation during childhood in relation to the environment) birth-cohort in northern Sweden. A food frequency questionnaire, Meal-Q, was administered in pregnancy Week 34, and the reported food and nutrient intakes were related to maternal characteristics such as age, education, rural/town residence, parity, pre-pregnancy smoking, first-trimester BMI, allergy and hyperemesis. Two lifestyle-diet clusters were identified: (1) High level of education and higher age were related to one another, and associated with a diet rich in fruits, vegetables, whole grains and fish, and (2) smoking before pregnancy and higher BMI in early pregnancy were related to one another and associated with a diet that contained white bread, French fries, pizza, meat, soft drinks, candy and snacks. More than half of the women had lower-than-recommended daily intake levels of vitamin D, folate, selenium, and iodine. Complex lifestyle-diet interactions should be considered in observational studies that link diet and pregnancy outcome.

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