Competing‐risks model for prediction of small‐for‐gestational‐age neonate from biophysical and biochemical markers at 11–13 weeks' gestation

2020 ◽  
Vol 57 (1) ◽  
pp. 52-61
Author(s):  
I. Papastefanou ◽  
D. Wright ◽  
A. Syngelaki ◽  
K. Souretis ◽  
E. Chrysanthopoulou ◽  
...  
Keyword(s):  
Competing Risks ◽  
Gestational Age ◽  
Small For Gestational Age ◽  
Biochemical Markers ◽  
Competing Risks Model

First-Trimester Biochemical Markers of Aneuploidy and the Prediction of Small-for-Gestational Age Fetuses

2009 ◽  
Vol 64 (6) ◽  
pp. 370-372
Author(s):  
K Spencer ◽  
N J. Cowans ◽  
K Avgidou ◽  
F Molina ◽  
K H. Nicolaides
Keyword(s):  
Gestational Age ◽  
Small For Gestational Age ◽  
Biochemical Markers ◽  
First Trimester

scholarly journals Competing Risks Model in Early Screening for Preeclampsia by Biophysical and Biochemical Markers

2012 ◽  
Vol 33 (1) ◽  
pp. 8-15 ◽  
Author(s):  
Ranjit Akolekar ◽  
Argyro Syngelaki ◽  
Leona Poon ◽  
David Wright ◽  
Kypros H. Nicolaides
Keyword(s):  
Competing Risks ◽  
Biochemical Markers ◽  
Early Screening ◽  
Competing Risks Model

scholarly journals Marcadores Bioquímicos do Primeiro Trimestre e Recém-Nascidos Leves para Idade Gestacional

2014 ◽  
Vol 27 (2) ◽  
pp. 191
Author(s):  
Cláudia Andrade ◽  
Joana Santos ◽  
Ana Rita Pinto ◽  
Pedro Manso ◽  
Susana Pereira
Keyword(s):  
Birth Weight ◽  
Gestational Age ◽  
Small For Gestational Age ◽  
Odds Ratio ◽  
Biochemical Markers ◽  
First Trimester ◽  
Control Group ◽  
Maternal Weight ◽  
Increased Risk ◽  
Β Hcg

<strong>Introduction:</strong> Several studies suggested an association between first trimester biochemical markers (PAPP-A and β- HCG) and infants below 10th percentile. Our goal was to describe this relationship of biochemical markers with small-for- gestational-age fetuses in our population.<br /><strong>Material and Methods:</strong> Retrospective analytic study of 2 035 pregnant women that underwent first-trimester screening in the period between March 2009 and September 2011. Small-for-gestational-age infants below 10th percentile were compared with control group (term newborn with birth weight above 10th percentile). Infants below 3rd percentile and control group were also compared. Multiple and logistic regression analysis were done with PAPP-A, β-HCG (multiples of the expected normal median) and demographic maternal characteristics (ethnicity, weight and smoker status).<br /><strong>Results:</strong> This study demonstrated an independent contribution of PAPP-A, maternal weight and smoker status in predicting small-for-gestational-age infants. For PAPP-A, the odds ratio for small-for-gestational age below 10th and 3rd percentile was 2.41 and 3.41, respectively (p &lt; 0.01). For β-HCG, odds ratio below 10th percentile was 1.70 (p = 0.03) and for birth weight below the 3rd percentile, the odds ratio was 3.22 (p &lt; 0.01).<br /><strong>Conclusions:</strong> Low levels of PAPP-A and β-HCG (values below 5th percentile of the study population) were associated with an increased risk of small-for-gestational-age infants in the pregnant population included in this study.

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