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Risk assessment for preterm preeclampsia in first trimester: Comparison of three calculation algorithms.
Lakovschek, Ioana C; Ulrich, Daniela; Jauk, Stefanie; Csapo, Bence; Kolovetsiou-Kreiner, Vassiliki; Mayer-Pickel, Karoline; Stern, Christina; Lang, Uwe; Obermayer-Pietsch, Barbara; Cervar-Zivkovic, Mila.
Afiliação
  • Lakovschek IC; Department of Obstetrics and Gynaecology, Division of Obstetrics, Medical University of Graz, Austria. Electronic address: ioana.lakovschek@medunigraz.at.
  • Ulrich D; Department of Obstetrics and Gynaecology, Division of Obstetrics, Medical University of Graz, Austria.
  • Jauk S; Institute of Medical Informatics, Statistics and Documentation, Medical University of Graz, Austria.
  • Csapo B; Department of Obstetrics and Gynaecology, Division of Obstetrics, Medical University of Graz, Austria.
  • Kolovetsiou-Kreiner V; Department of Obstetrics and Gynaecology, Division of Obstetrics, Medical University of Graz, Austria.
  • Mayer-Pickel K; Department of Obstetrics and Gynaecology, Division of Obstetrics, Medical University of Graz, Austria.
  • Stern C; Department of Obstetrics and Gynaecology, Division of Obstetrics, Medical University of Graz, Austria.
  • Lang U; Department of Obstetrics and Gynaecology, Division of Obstetrics, Medical University of Graz, Austria.
  • Obermayer-Pietsch B; Department of Internal Medicine, Div. of Endocrinology and Metabolism, Endocrinology Lab Platform, Medical University of Graz, Austria.
  • Cervar-Zivkovic M; Department of Obstetrics and Gynaecology, Division of Obstetrics, Medical University of Graz, Austria.
Eur J Obstet Gynecol Reprod Biol ; 231: 241-247, 2018 Dec.
Article em En | MEDLINE | ID: mdl-30439653
ABSTRACT

OBJECTIVE:

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. STUDY

DESIGN:

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.

RESULTS:

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).

CONCLUSION:

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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pré-Eclâmpsia / Primeiro Trimestre da Gravidez / Cuidado Pré-Natal Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Pregnancy Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pré-Eclâmpsia / Primeiro Trimestre da Gravidez / Cuidado Pré-Natal Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Pregnancy Idioma: En Ano de publicação: 2018 Tipo de documento: Article