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First trimester prediction of early onset preeclampsia using demographic, clinical, and sonographic data: a cohort
Javier Caradeux1, Ramón Serra, Jyh-Kae Nien
1Universidad de los Andes, Fetal Medicine Unit, Departments of Obstetrics & Gynecology and Reproduction Biology Laboratory, Santiago, Chile. javier.caradeux@gmail.com
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 11-14 weeks 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 34 weeks (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.
