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Comparison of two 'a priori' risk assessment algorithms for preeclampsia in Italy: a prospective multicenter study
- Publication Year :
- 2019
-
Abstract
- Purpose: To compare the performance of the algorithms proposed by the Fetal Medicine Foundation in 2012 and BCNatal in 2013 in an Italian population. Methods: A multicentric prospective study was carried out which included pregnancies at 11–13weeks’ gestation from Jan 2014 through May 2017. Two previously published algorithms were used for the calculation of the “a priori” risk of preeclampsia (based on risk factors from medical history) in each individual. Results: In a study population of 11,632 cases, 67 (0.6%) developed early preeclampsia and 211 (1.8%) developed late preeclampsia. The detection rates (95% CI) for early and late preeclampsia were 58.2% (45.5–70.2) vs. 41.8% (29.6–54.5) (p value < 0.05) and 44.1% (37.3–51.1) vs. 38% (31.3–44.8) (p value < 0.05) for the Fetal Medicine Foundation and BCNatal, respectively (at a 10% false positive rate). The associated risk was 1:226 and 1:198 (p value ns) for early PE, and 1:17 and 1:24 (p value ns) for late PE for the Fetal Medicine Foundation and BCNatal, respectively. Conclusions: The Fetal Medicine Foundation screening for preeclampsia at 11–13weeks’ gestation scored the highest detection rate for both early and late PE. At a fixed 10% false positive rate, the estimated “a priori” risks of both the Fetal Medicine Foundation and the BCNatal algorithms in an Italian population were quite similar, and both were reliable and consistent.
- Subjects :
- Adult
ROC curves
Risk Assessment
Preeclampsia
03 medical and health sciences
0302 clinical medicine
Pre-Eclampsia
Pregnancy
Risk Factors
A priori risk
Detection rate
Screening for preeclampsia
Algorithms
Biomarkers
Female
Humans
Italy
Prospective Studies
medicine
Prospective cohort study
030219 obstetrics & reproductive medicine
Receiver operating characteristic
business.industry
Obstetrics and Gynecology
General Medicine
medicine.disease
ROC curve
030220 oncology & carcinogenesis
Gestation
Population study
False positive rate
business
Risk assessment
Algorithm
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....760b9214ba1d05be66e0251895721668