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A simple clinical method to identify women at higher risk of preeclampsia
Effie Viguiliouk1, Alison L Park2, Howard Berger3
1University of Toronto, Toronto, Canada.
An outstanding issue is how to efficiently identify women at high risk of preeclampsia. This retrospective cohort study included 8672 pregnancies at a single centre in Toronto. We tested our simple method - presence vs. absence of≥1 major (pre-pregnancy BMI>30kg/m2, chronic hypertension, pre-pregnancy diabetes mellitus and assisted reproductive therapy) or≥2 minor (prior stillbirth, age>40years, nulliparity, multifetal pregnancy, chronic kidney disease, and SLE) risk factors for PE. The RR of PE was 8.4 (95% CI 5.3-13.2) and the model C-statistic 0.74 (95% CI 0.69-0.79). Further testing of this method elsewhere is warranted.
An outstanding issue is how to efficiently identify women at high risk of preeclampsia. This retrospective cohort study included 8672 pregnancies at a single centre in Toronto. We tested our simple method - presence vs. absence of≥1 major (pre-pregnancy BMI>30kg/m2, chronic hypertension, pre-pregnancy diabetes mellitus and assisted reproductive therapy) or≥2 minor (prior stillbirth, age>40years, nulliparity, multifetal pregnancy, chronic kidney disease, and SLE) risk factors for PE. The RR of PE was 8.4 (95% CI 5.3-13.2) and the model C-statistic 0.74 (95% CI 0.69-0.79). Further testing of this method elsewhere is warranted.
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