Ewelina Litwińska1, Magdalena Litwińska2, Przemysław Oszukowski1, Krzysztof Szaflik2, Piotr Kaczmarek3. 1. Perinatology and Gynecology Department, Polish Mother's Memorial Hospital Research Institute, Łódź, Poland. 2. Department of Gynecology, Fertility and Fetal Therapy, Polish Mother's Memorial Hospital Research Institute, Łódź, Poland. 3. Department of Operative Gynecology and Oncological Gynecology, Polish Mother's Memorial Hospital Research Institute, Łódź, Poland.
Abstract
BACKGROUND: Pre-eclampsia is a systemic disease connected with high maternal and fetal morbidity and mortality. Despite significant progress achieved in perinatal medicine, pre-eclampsia is still one of the most significant current problems in obstetrics. OBJECTIVES: The aim of the study was to establish diagnostic algorithms for early and late pre-eclampsia (PE) and intrauterine growth restriction (IUGR). MATERIAL AND METHODS: A total of 320 pregnant women between 11 + 0 and 13 + 6 weeks of gestation were recruited for a case-control study. The study group consisted of 22 patients with early PE, 29 patients with late PE and 269 unaffected controls. The following parameters were recorded: maternal history, mean arterial pressure (MAP), mean uterine artery pulsatility index (UtA-PI), and the concentrations of placental growth factor (PlGF), pregnancy-associated plasma protein A (PAPP-A) and free beta-human chorionic gonadotropin (free β-hCG). RESULTS: A multivariable stepwise logistic regression analysis indicated that the best screening model for the prediction of early PE is based on a combined analysis of maternal risk factors, UtA-PI and PlGF levels (sensitivity: 91%; specificity: 84%). The best screening model for the prediction of late PE is based on a combined analysis of maternal risk factors, UtA-PI and MAP (sensitivity: 85%; specificity: 83%). The most effective screening model for the prediction of IUGR is based on a combined analysis of maternal risk factors, UtA-PI and PlGF concentrations (sensitivity: 91%; specificity: 83%). CONCLUSIONS: The integrated model of screening established in this study can be a valuable method to identify patients at increased risk of developing pre-eclampsia and related complications. The ability to predict the occurrence of pre-eclampsia in early pregnancy would enable maternal and fetal morbidity to be reduced through the introduction of strict obstetric surveillance as well as planned delivery in a reference center.
BACKGROUND: Pre-eclampsia is a systemic disease connected with high maternal and fetal morbidity and mortality. Despite significant progress achieved in perinatal medicine, pre-eclampsia is still one of the most significant current problems in obstetrics. OBJECTIVES: The aim of the study was to establish diagnostic algorithms for early and late pre-eclampsia (PE) and intrauterine growth restriction (IUGR). MATERIAL AND METHODS: A total of 320 pregnant women between 11 + 0 and 13 + 6 weeks of gestation were recruited for a case-control study. The study group consisted of 22 patients with early PE, 29 patients with late PE and 269 unaffected controls. The following parameters were recorded: maternal history, mean arterial pressure (MAP), mean uterine artery pulsatility index (UtA-PI), and the concentrations of placental growth factor (PlGF), pregnancy-associated plasma protein A (PAPP-A) and free beta-human chorionic gonadotropin (free β-hCG). RESULTS: A multivariable stepwise logistic regression analysis indicated that the best screening model for the prediction of early PE is based on a combined analysis of maternal risk factors, UtA-PI and PlGF levels (sensitivity: 91%; specificity: 84%). The best screening model for the prediction of late PE is based on a combined analysis of maternal risk factors, UtA-PI and MAP (sensitivity: 85%; specificity: 83%). The most effective screening model for the prediction of IUGR is based on a combined analysis of maternal risk factors, UtA-PI and PlGF concentrations (sensitivity: 91%; specificity: 83%). CONCLUSIONS: The integrated model of screening established in this study can be a valuable method to identify patients at increased risk of developing pre-eclampsia and related complications. The ability to predict the occurrence of pre-eclampsia in early pregnancy would enable maternal and fetal morbidity to be reduced through the introduction of strict obstetric surveillance as well as planned delivery in a reference center.
Authors: Manouk L E Hendrix; Judith A P Bons; Roy R G Snellings; Otto Bekers; Sander M J van Kuijk; Marc E A Spaanderman; Salwan Al-Nasiry Journal: Fetal Diagn Ther Date: 2019-05-08 Impact factor: 2.587
Authors: Juilee S Deshpande; Deepali P Sundrani; Akriti S Sahay; Sanjay A Gupte; Sadhana R Joshi Journal: Hypertens Res Date: 2021-04-01 Impact factor: 3.872