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Competing Risks Model for Prediction of Small for Gestational Age Neonates and the Role of Second Trimester Soluble Fms-like Tyrosine Kinase-1
- Source :
- Journal of Clinical Medicine, Vol 10, Iss 3786, p 3786 (2021), Journal of Clinical Medicine, Volume 10, Issue 17
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- Small for gestational age (SGA) fetuses/neonates are characterized by the increased risk for adverse outcomes that can be reduced if the condition is identified antenatally. We have recently developed a new approach in SGA prediction that considers SGA a spectrum condition that is reflected in two dimensions: gestational age at delivery and Z score in birth weight for gestational age. The new method has a better predictive ability than the traditionally used risk-scoring systems and logistic regression models. In this prospective study in 40241 singleton pregnancies, at 19–24 weeks’ gestation, we examined the potential value of the antiangiogenic soluble fms-like tyrosine kinase-1 (sFlt-1) and the ratio of sFlt-1 to the angiogenic placental growth factor (PlGF) in the prediction of SGA. We found that first, sFlt-1 did not improve the performance of screening by maternal risk factors, and second, the ratio of sFlt-1/PlGF had a worse performance than PlGF alone in the prediction of SGA. Consequently, second trimester sFlt-1 and sFlt-1/PlGF are not useful in screening for SGA.
- Subjects :
- medicine.medical_specialty
Bayes’ theorem
Birth weight
likelihood
Article
fetal growth restriction
small for gestational age
medicine
second trimester screening
soluble fms-like tyrosine kinase-1
survival model
Prospective cohort study
Survival analysis
reproductive and urinary physiology
Fetus
Obstetrics
business.industry
Gestational age
General Medicine
medicine.disease
pyramid of prenatal care
female genital diseases and pregnancy complications
embryonic structures
Gestation
Small for gestational age
Medicine
business
Soluble fms-like tyrosine kinase-1
Subjects
Details
- Language :
- English
- ISSN :
- 20770383
- Volume :
- 10
- Issue :
- 3786
- Database :
- OpenAIRE
- Journal :
- Journal of Clinical Medicine
- Accession number :
- edsair.doi.dedup.....570f797f1e94f0a8756772d28bb637a0