Literature DB >> 25471057

Risk assessment for preeclampsia in nulliparous women at 11-13 weeks gestational age: prospective evaluation of two algorithms.

R B Skråstad1,2, G G Hov3, H-G K Blaas1,2, P R Romundstad4, K Å Salvesen2,5.   

Abstract

OBJECTIVE: To evaluate two algorithms for prediction of preeclampsia in a population of nulliparous women in Norway.
DESIGN: Prospective screening study.
SETTING: National Centre for Fetal Medicine in Trondheim, Norway. POPULATION: Five hundred and forty-one nulliparous women.
METHODS: The women were examined between 11(+0) and 13(+6) weeks with interviews for maternal characteristics and measurements of mean arterial pressure, uterine artery pulsatility index, pregnancy-associated plasma protein A and placental growth factor. The First Trimester Screening Program version 2.8 by The Fetal Medicine Foundation (FMF) was compared with the Preeclampsia Predictor TM version 1 revision 2 by Perkin Elmer (PREDICTOR). MAIN OUTCOME MEASURES: Prediction of preeclampsia requiring delivery before 37 weeks, before 42 weeks and late preeclampsia (delivery after 34 weeks).
RESULTS: The performance of the two algorithms was similar, but quite poor, for prediction of preeclampsia requiring delivery before 42 weeks with an area under the curve of 0.77 (0.67-0.87) and sensitivity 40% (95% CI 19.1-63.9) at a fixed 10% false positive rate for FMF and 0.74 (0.63-0.84) and sensitivity 30% (95% CI 11.9-54.3) at a fixed 10% false positive rate for PREDICTOR. The FMF algorithm for preeclampsia requiring delivery <37 weeks had an area under the curve of 0.94 (0.86-1.0) and sensitivity of 80% (95% CI 28.4-99.5) at a 10% fixed false positive rate.
CONCLUSIONS: Fetal Medicine Foundation and PREDICTOR algorithms had similar and only modest performance in predicting preeclampsia. The results indicate that the FMF algorithm is suitable for prediction of preterm preeclampsia.
© 2014 Royal College of Obstetricians and Gynaecologists.

Entities:  

Keywords:  Biomarkers; Doppler; blood pressure; first trimester; preeclampsia; risk calculation; ultrasound; uterine artery

Mesh:

Substances:

Year:  2014        PMID: 25471057     DOI: 10.1111/1471-0528.13194

Source DB:  PubMed          Journal:  BJOG        ISSN: 1470-0328            Impact factor:   6.531


  11 in total

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Authors:  Kym I E Snell; John Allotey; Melanie Smuk; Richard Hooper; Claire Chan; Asif Ahmed; Lucy C Chappell; Peter Von Dadelszen; Marcus Green; Louise Kenny; Asma Khalil; Khalid S Khan; Ben W Mol; Jenny Myers; Lucilla Poston; Basky Thilaganathan; Anne C Staff; Gordon C S Smith; Wessel Ganzevoort; Hannele Laivuori; Anthony O Odibo; Javier Arenas Ramírez; John Kingdom; George Daskalakis; Diane Farrar; Ahmet A Baschat; Paul T Seed; Federico Prefumo; Fabricio da Silva Costa; Henk Groen; Francois Audibert; Jacques Masse; Ragnhild B Skråstad; Kjell Å Salvesen; Camilla Haavaldsen; Chie Nagata; Alice R Rumbold; Seppo Heinonen; Lisa M Askie; Luc J M Smits; Christina A Vinter; Per Magnus; Kajantie Eero; Pia M Villa; Anne K Jenum; Louise B Andersen; Jane E Norman; Akihide Ohkuchi; Anne Eskild; Sohinee Bhattacharya; Fionnuala M McAuliffe; Alberto Galindo; Ignacio Herraiz; Lionel Carbillon; Kerstin Klipstein-Grobusch; Seon Ae Yeo; Joyce L Browne; Karel G M Moons; Richard D Riley; Shakila Thangaratinam
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