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

Javier Caradeux, Ramón Serra, Jyh Kae Nien, Alejandra Pérez-Sepulveda, Manuel Schepeler, Francisco Guerra, Jorge Gutiérrez, Jaime Martínez, Cristián Cabrera, Horacio Figueroa-Diesel, Peter Soothill, Sebastián E. Illanes

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

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.

Original languageEnglish
Pages (from-to)732-736
Number of pages5
JournalPrenatal Diagnosis
Volume33
Issue number8
DOIs
StatePublished - Aug 2013

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