Impact of First-Trimester Aneuploidy Screening in a High-Risk Population

2009 ◽  
Vol 26 (1) ◽  
pp. 29-34 ◽  
Author(s):  
Allan S. Nadel ◽  
Marisa L. Likhite
Keyword(s):  
High Risk ◽  
First Trimester ◽  
High Risk Population ◽  
Aneuploidy Screening ◽  
Risk Population

First-trimester chorionic bump--Association with fetal aneuploidy in a high-risk population

2016 ◽  
Vol 45 (1) ◽  
pp. 3-7 ◽  
Author(s):  
Joseph R. Wax ◽  
Angelina Cartin ◽  
Christian Litton ◽  
Michael G. Pinette ◽  
F. L. Lucas
Keyword(s):  
High Risk ◽  
First Trimester ◽  
High Risk Population ◽  
Risk Population ◽  
Fetal Aneuploidy

P10.09: First trimester ductus venosus, nasal bones and trisomy 21 in a high-risk population

2004 ◽  
Vol 24 (3) ◽  
pp. 322-322
Author(s):  
F. Prefumo ◽  
A. Bhide ◽  
S. Sairam ◽  
L. Penna ◽  
B. Thilaganathan
Keyword(s):  
High Risk ◽  
Trisomy 21 ◽  
First Trimester ◽  
Ductus Venosus ◽  
High Risk Population ◽  
Risk Population ◽  
Nasal Bones

scholarly journals Performance of the FMF First-Trimester Preeclampsia-Screening Algorithm in a High-Risk Population in The Netherlands

2021 ◽  
pp. 1-9
Author(s):  
Eva F. Zwertbroek ◽  
Henk Groen ◽  
Federica Fontanella ◽  
Luana Maggio ◽  
Laura Marchi ◽  
...  
Keyword(s):  
High Risk ◽  
The Netherlands ◽  
Roc Curves ◽  
First Trimester ◽  
High Risk Population ◽  
Discriminative Performance ◽  
Risk Population ◽  
Crown Rump Length ◽  
Screening Algorithm ◽  
Study Population

<b><i>Objective:</i></b> The aim of the study was to evaluate the performance of the first-trimester Fetal Medicine Foundation (FMF) screening algorithm, including maternal characteristics and medical history, blood pressure, pregnancy-associated plasma protein A and placenta growth factor, crown rump length, and uterine artery pulsatility index, for the prediction of preeclampsia in a high-risk population in the Netherlands. <b><i>Methods:</i></b> This is a prospective cohort including nulliparous women and women with preeclampsia or intrauterine growth restriction in previous pregnancy. We screened patients at 11–14 weeks of gestation to calculate the risk for preeclampsia. The primary outcome was preeclampsia and gestational age at delivery. Performance of the model was evaluated by area under the receiver operating characteristic (ROC) curves (AUCs) and calibration graphs; based on the ROC curves, optimal predicted risk cutoff values for our study population were defined. <b><i>Results:</i></b> We analyzed 362 women, of whom 22 (6%) developed preeclampsia. The algorithm showed fair discriminative performance for preeclampsia &#x3c;34 weeks (AUC 0.81; 95% CI 0.65–0.96) and moderate discriminative performance for both preeclampsia &#x3c;37 weeks (AUC 0.71; 95% CI 0.51–0.90) and &#x3c;42 weeks (AUC 0.71; 95% CI 0.61–0.81). Optimal cutoffs based on our study population for preeclampsia &#x3c;34, &#x3c;37, and &#x3c;42 weeks were 1:250, 1:64, and 1:22, respectively. Calibration was poor. <b><i>Conclusions:</i></b> Performance of the FMF preeclampsia algorithm was satisfactory to predict early and preterm preeclampsia and less satisfactory for term preeclampsia in a high-risk population. However, by addressing some of the limitations of the present study, the performance can potentially improve. This is essential before implementation is considered.

First trimester uterine artery Doppler, sFlt-1 and PlGF to predict preeclampsia in a high-risk population

2017 ◽  
Vol 30 (13) ◽  
pp. 1514-1519 ◽  
Author(s):  
Caroline Diguisto ◽  
Eric Piver ◽  
Amélie Le Gouge ◽  
Florence Eboue ◽  
Claudine Le Vaillant ◽  
...  
Keyword(s):  
High Risk ◽  
Uterine Artery ◽  
First Trimester ◽  
High Risk Population ◽  
Risk Population ◽  
Uterine Artery Doppler

First-Trimester Ductus Venosus, Nasal Bones, and Down Syndrome in a High-Risk Population

2005 ◽  
Vol 105 (6) ◽  
pp. 1348-1354 ◽  
Author(s):  
Federico Prefumo ◽  
Farah Sethna ◽  
Shanthi Sairam ◽  
Amarnath Bhide ◽  
Baskaran Thilaganathan
Keyword(s):  
Down Syndrome ◽  
High Risk ◽  
First Trimester ◽  
Ductus Venosus ◽  
High Risk Population ◽  
Risk Population ◽  
Nasal Bones
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