Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Lakovschek, IC; Ulrich, D; Jauk, S; Csapo, B; Kolovetsiou-Kreiner, V; Mayer-Pickel, K; Stern, C; Lang, U; Obermayer-Pietsch, B; Cervar-Zivkovic, M.
Risk assessment for preterm preeclampsia in first trimester: Comparison of three calculation algorithms.
Eur J Obstet Gynecol Reprod Biol. 2018; 231(1):241-247
Doi: 10.1016/j.ejogrb.2018.11.006
Web of Science
PubMed
FullText
FullText_MUG
- Führende Autor*innen der Med Uni Graz
- Lakovschek Ioana-Claudia
- Co-Autor*innen der Med Uni Graz
- Cervar-Zivkovic Mila
- Csapo Bence Daniel
- Gold ehem Ulrich Daniela
- Jauk Stefanie
- Kolovetsiou-Kreiner Vassiliki
- Lang Uwe
- Mayer-Pickel Karoline Ilse
- Obermayer-Pietsch Barbara
- Stern Christina
- Altmetrics:
- Dimensions Citations:
- Plum Analytics:
- Scite (citation analytics):
- Abstract:
- To better adjust the risk for preeclampsia, multifactorial models in first trimester of pregnancy have found the way in clinical practice. This study compares the available test algorithms. In a cross-sectional study between November 2013 and April 2016 we compared the tests results of three first trimester testing algorithms for preeclampsia in 413 women. Risk for preterm preeclampsia was calculated with three different algorithms: Preeclampsia Predictor™ Software by PerkinElmer (PERK), ViewPoint® Software by GE Healthcare (VP) and the online calculator of the Fetal Medicine Foundation (FMF).We analyzed the data descriptively and determined Cohen's Kappa to assess the agreement among the algorithms. VP classified 89(21.5%) women, PERK 43(10.4%) women and FMF 90 (21.8%) women as having high risk for preterm preeclampsia (<34 weeks of gestation for VP and PERK and <37 weeks of gestation for FMF). Agreement between tests ranged from moderate to substantial (PERK/VP: κ = 0.56, PERK/ FMF: κ = 0.50, and VP/ FMF: κ = 0.72). The three algorithms are similar but not equal. This may depend on chosen cut off, but also on test properties. This study cannot decide which algorithm is the best, but differences in results and cut offs should be taken into account. Copyright © 2018 Elsevier B.V. All rights reserved.
- Find related publications in this database (using NLM MeSH Indexing)
- Adult -
- Algorithms -
- Cross-Sectional Studies -
- Female -
- Humans -
- Pre-Eclampsia - diagnosis
- Pre-Eclampsia - etiology
- Pregnancy -
- Pregnancy Trimester, First -
- Prenatal Care -
- Risk Assessment - methods
- Risk Factors -
- Find related publications in this database (Keywords)
- Preeclampsia
- First trimester screening
- Risk assessment algorithm
- Multifactorial test for preeclampsia