*<p>P values represent trends accross increasing tertiles of plasma levels, by logistic regression analysis.</p>†<p>Model 1 includes tertiles of plasma levels and interval between delivery and enrolment.</p>§<p>Model 2 includes tertiles of plasma levels, interval between delivery and enrolment, age at inclusion, body-mass index, current smoking and chronic hypertension.</p
ObjectiveInflammatory and metabolic pathways are implicated in preterm birth and preeclampsia. Howev...
Objective: To develop a model to identify women at very low risk of recurrent early-onset preeclamps...
To examine the diagnostic accuracy of a previously developed model for prediction of pre-eclampsia (...
<p>*Data are presented as mean ± standard deviation. OR denotes odds ratio, CI confidence interval.<...
<p><sup>a</sup>Model adjusted for woman’s (G2) age at childbirth, parity, and own smoking during ear...
<p>*Data are presented as mean ± standard deviation. OR denotes odds ratio, CI confidence interval. ...
<p><sup>a</sup>Model adjusted for woman’s (G2) age at childbirth and parity.</p><p><sup>b</sup>Model...
*<p>CRP denotes C-reactive protein, IL-6 interleukin-6, sICAM soluble intercellular adhesion molecul...
Background: Preeclampsia (PE) affects 2-3% of all pregnancies and is a major cause of maternal and p...
Objective: It was the aim of this study to develop models for the prediction of preeclampsia (PE) ba...
More than half of all cases of preeclampsia occur in healthy first-time pregnant women. Our aim was ...
ery and therefore the deviation from normal was greater for early than late PE for all four biomarke...
<p>Abbreviations: IQR, interquartile range; OR, unadjusted odds ratio; AOR, adjusted odds ratio; 95%...
Objective: To develop a model for preeclampsia (PE) based on maternal demographic characteristics an...
OBJECTIVE: To develop a model to identify women at very low risk of recurrent early-onset preeclamps...
ObjectiveInflammatory and metabolic pathways are implicated in preterm birth and preeclampsia. Howev...
Objective: To develop a model to identify women at very low risk of recurrent early-onset preeclamps...
To examine the diagnostic accuracy of a previously developed model for prediction of pre-eclampsia (...
<p>*Data are presented as mean ± standard deviation. OR denotes odds ratio, CI confidence interval.<...
<p><sup>a</sup>Model adjusted for woman’s (G2) age at childbirth, parity, and own smoking during ear...
<p>*Data are presented as mean ± standard deviation. OR denotes odds ratio, CI confidence interval. ...
<p><sup>a</sup>Model adjusted for woman’s (G2) age at childbirth and parity.</p><p><sup>b</sup>Model...
*<p>CRP denotes C-reactive protein, IL-6 interleukin-6, sICAM soluble intercellular adhesion molecul...
Background: Preeclampsia (PE) affects 2-3% of all pregnancies and is a major cause of maternal and p...
Objective: It was the aim of this study to develop models for the prediction of preeclampsia (PE) ba...
More than half of all cases of preeclampsia occur in healthy first-time pregnant women. Our aim was ...
ery and therefore the deviation from normal was greater for early than late PE for all four biomarke...
<p>Abbreviations: IQR, interquartile range; OR, unadjusted odds ratio; AOR, adjusted odds ratio; 95%...
Objective: To develop a model for preeclampsia (PE) based on maternal demographic characteristics an...
OBJECTIVE: To develop a model to identify women at very low risk of recurrent early-onset preeclamps...
ObjectiveInflammatory and metabolic pathways are implicated in preterm birth and preeclampsia. Howev...
Objective: To develop a model to identify women at very low risk of recurrent early-onset preeclamps...
To examine the diagnostic accuracy of a previously developed model for prediction of pre-eclampsia (...