Advances in clinical and experimental medicine : official organ Wroclaw Medical University · 2017
Combined screening for early and late pre-eclampsia and intrauterine growth restriction by maternal history, uterine artery Doppler, mean arterial pressure and biochemical markers.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Litwińska Ewelina, Litwińska Magdalena, Oszukowski Przemysław, Szaflik Krzysztof, Kaczmarek Piotr
Аннотация
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.
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.