A new algorithm provides advantages for preeclampsia screening
A team of researchers from Dexeus Mujer, led by Dr Bernat Serra, has conducted a study that demonstrates the usefulness of a new system to detect the risk of preeclampsia. Most of the models currently used - mathematical algorithms - have been developed based on the characteristics of specific populations, which affects their reliability when applied to other populations.
The advantage of the new model, according to its authors, is that it is applicable to other populations and, in addition, is based on a mathematical algorithm - Gaussian model - that is already used for the detection of Down Syndrome, which facilitates its simultaneous use and therefore its implementation in our environment (between weeks 8 and 13).
The detection of women with an increased risk of suffering from this disorder during pregnancy allows reducing the risk in up to 80% of the earliest cases by daily administration of low-dose aspirin.
To verify its reliability, a multicentre study was conducted on a sample of 6,893 single pregnancies with an incidence of preeclampsia of 2.3%.
The effectiveness of these mathematical models is evaluated based on the detection capacity for a determined false positive rate, which in the case of preeclampsia most studies have established at 10%. The models currently in use reach detection rates that range between 85% - 95% and the current model showed a rate of 94%.
Serra B, Mendoza M, Scazzocchio E, Meler E, Nolla M, Sabrià E, Rodríguez I, Carreras E.
Am J Obstet Gynecol. 2020 Jan 20. pii: S0002-9378(20)30027-2. doi: 10.1016/j.ajog.2020.01.020.