First trimester prediction of early onset preeclampsia using demographic, clinical, and sonographic data: a cohort study

Caradeux, Javier, Serra, Ramon, Nien, Jyh-Kae, Perez-Sepulveda, Alejandra, Schepeler, Manuel, Guerra, Francisco, Gutierrez, Jorge, Martinez, James, Cabrera, Cristian, Figueroa-Diesel, Horacio, Soothill, Peter and Illanes, Sebastian E. (2013) First trimester prediction of early onset preeclampsia using demographic, clinical, and sonographic data: a cohort study. Prenatal Diagnosis, 33 8: 732-736. doi:10.1002/pd.4113


Author Caradeux, Javier
Serra, Ramon
Nien, Jyh-Kae
Perez-Sepulveda, Alejandra
Schepeler, Manuel
Guerra, Francisco
Gutierrez, Jorge
Martinez, James
Cabrera, Cristian
Figueroa-Diesel, Horacio
Soothill, Peter
Illanes, Sebastian E.
Title First trimester prediction of early onset preeclampsia using demographic, clinical, and sonographic data: a cohort study
Journal name Prenatal Diagnosis   Check publisher's open access policy
ISSN 0197-3851
1097-0223
Publication date 2013-01-01
Year available 2013
Sub-type Article (original research)
DOI 10.1002/pd.4113
Volume 33
Issue 8
Start page 732
End page 736
Total pages 5
Place of publication Chichester, West Sussex, United Kingdom
Publisher John Wiley and Sons Ltd.
Language eng
Subject 2716 Genetics (clinical)
2729 Obstetrics and Gynaecology
Formatted abstract
Objective: The aim of this research was to evaluate the performance of a predictive model for early onset preeclampsia (PE) during early gestation.

Method: Prospective multicenter cohort study was performed in women attending 11-14weeks ultrasound. Medical history and biometrical variables were recorded and uterine artery Doppler was performed. All patients were followed until postpartum period. Constructed predictive models were compared using the area under the associated receiver operating characteristic curve. Sensitivity, specificity, and likelihood ratios were estimated for each outcome.

Results: A total of 627 patients were enrolled. Sixty-five (10.4%) developed gestational hypertension, of which 29 developed PE (4.6% of the total sample) and nine occurred before 34weeks (1.5% of total sample). Prediction model generated for early onset PE (ePE) with 5% false positive achieve sensitivity of 62.5% and specificity of 95.5%. The positive and negative likelihood ratios for ePE were 13.9 and 0.39, respectively. Development of ePE was significantly associated with history of preterm labor (p=0.002) and diabetes mellitus (p=0.02).

Conclusions: This study confirms the advantage of combining multiple variables for prediction of ePE.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: UQ Centre for Clinical Research Publications
Official 2014 Collection
 
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Created: Wed, 02 Apr 2014, 23:14:20 EST by Roheen Gill on behalf of UQ Centre for Clinical Research