Abstract
Maternal History and First Trimester Biochemical and Biophysical Markers in the Prediction of Spontaneous Preterm Delivery in Singleton Pregnancies
Highlights
Preterm delivery (PTD) is a major cause of perinatal mortality and delayed psychomotor development in children [1]
A multivariable stepwise logistic regression analysis indicated that early PTD can be predicted based on a combined analysis of maternal history, cervical length and AFP and pregnancy-associated plasma protein A (PAPP-A) concentrations: Detection rate (DR): 93%; false positive rate (FPR): 10%
The best fitted model for the prediction of spontaneous preterm delivery before 34 weeks is based on a combined analysis of maternal risk factors, measurement of the cervical length and measurement of AFP and PAPP-A concentrations
Summary
Preterm delivery (PTD) is a major cause of perinatal mortality and delayed psychomotor development in children [1]. According to the recommendations adopted by the World Health Organization (WHO) every birth that takes place between 23 and 37 weeks’ gestation should be regarded as premature. The vast majority of complications are associated with delivery before 34 weeks [2,3]. Patients at increased risk of spontaneous preterm delivery are identified based on their clinical factors, among which the most important is previous preterm delivery [4,5]. Preterm delivery (PTD) is a major cause of perinatal mortality and delayed psychomotor development in children.
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