A prospective study on first trimester prediction of ischemic placental diseases
Autor: | Semir Kose, Ömer Erbil Doğan, Melis Kant, Gamze Tuna, Merve Akış, Gul Huray Islekel, Gulnar Nuriyeva, Sabahattin Altunyurt |
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Rok vydání: | 2017 |
Předmět: |
Placental growth factor
medicine.medical_specialty 030219 obstetrics & reproductive medicine business.industry Obstetrics Obstetrics and Gynecology medicine.disease Blood proteins Preeclampsia 03 medical and health sciences 0302 clinical medicine medicine.anatomical_structure Placenta medicine.artery Cohort Medicine Gestation 030212 general & internal medicine business Prospective cohort study Uterine artery Genetics (clinical) |
Zdroj: | Prenatal Diagnosis. 37:341-349 |
ISSN: | 0197-3851 |
DOI: | 10.1002/pd.5017 |
Popis: | OBJECTIVE The objective of the study is to assess the predictive power of mean uterine artery pulsatility index (UtA PI), maternal serum placental growth factor (PlGF) and placenta associated plasma protein A levels for the development of ischemic placental diseases (IPD) in a cohort of unselected singleton pregnancies during the first trimester combined test period. MATERIALS AND METHODS A sample of 880 pregnancies was registered between September 2014 and January 2016. After routine examination for first trimester combined test, UtA PI was measured, and maternal serum was obtained and stored at -80 °C for PlGF assessment. RESULTS Early-onset preeclampsia, late-onset preeclampsia and placental dysfunction-related fetal growth restriction were observed in 6 (0.7%), 17 (2.0%) and 27 (3.2%) cases, respectively. IPD requiring delivery before 34 weeks of gestation could be predicted with a sensitivity, specificity, positive predictive value and negative predictive value of 76.2%, 90.2%, 20.2% and 99.1%, respectively. CONCLUSION A combination of UtA PI, placenta associated plasma protein A and PlGF was proven to be successful in the first trimester prediction of IPD, with the highest sensitivity in the subgroup who required delivery before 34 weeks of gestation. In reducing the number of pregnancies that should be followed-up, further studies for new biomarkers are needed. © 2017 John Wiley & Sons, Ltd. |
Databáze: | OpenAIRE |
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