Comparison of two "a priori" risk assessment algorithms for preeclampsia in Italy: a prospective multicenter study.
A priori risk
Detection rate
ROC curves
Screening for preeclampsia
Journal
Archives of gynecology and obstetrics
ISSN: 1432-0711
Titre abrégé: Arch Gynecol Obstet
Pays: Germany
ID NLM: 8710213
Informations de publication
Date de publication:
06 2019
06 2019
Historique:
received:
30
07
2018
accepted:
28
03
2019
pubmed:
7
4
2019
medline:
31
3
2020
entrez:
7
4
2019
Statut:
ppublish
Résumé
To compare the performance of the algorithms proposed by the Fetal Medicine Foundation in 2012 and BCNatal in 2013 in an Italian population. A multicentric prospective study was carried out which included pregnancies at 11-13 weeks' 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. 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. The Fetal Medicine Foundation screening for preeclampsia at 11-13 weeks' 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.
Identifiants
pubmed: 30953193
doi: 10.1007/s00404-019-05146-4
pii: 10.1007/s00404-019-05146-4
doi:
Substances chimiques
Biomarkers
0
Types de publication
Journal Article
Multicenter Study
Langues
eng
Sous-ensembles de citation
IM