scholarly journals EP14.15: Which Doppler parameter during the second trimester ultrasound should be assessed as predictor for small-for-gestational-age fetus?

2017 ◽  
Vol 50 ◽  
pp. 319-319
Author(s):  
S. Visentin ◽  
A. Londero ◽  
E. Salviato ◽  
C. Bolzonella ◽  
G. Mantoan ◽  
...  
Keyword(s):  
Gestational Age ◽  
Small For Gestational Age ◽  
Second Trimester ◽  
Doppler Parameter

Second trimester contingent screening for small for gestational age neonates

2021 ◽  
Author(s):  
U. Nowacka ◽  
I. Papastefanou ◽  
A. Bouariu ◽  
A. Syngelaki ◽  
R. Akolekar ◽  
...  
Keyword(s):  
Gestational Age ◽  
Small For Gestational Age ◽  
Second Trimester

Early second-trimester low umbilical coiling index predicts small-for-gestational-age fetuses.

2001 ◽  
Vol 20 (11) ◽  
pp. 1183-1188 ◽  
Author(s):  
S Degani ◽  
Z Leibovich ◽  
I Shapiro ◽  
R Gonen ◽  
G Ohel
Keyword(s):  
Gestational Age ◽  
Small For Gestational Age ◽  
Second Trimester ◽  
Umbilical Coiling Index

Second-Trimester 3-Dimensional Placental Sonography as a Predictor of Small-for-Gestational-Age Birth Weight

2016 ◽  
Vol 35 (8) ◽  
pp. 1693-1702 ◽  
Author(s):  
Hayley S. Quant ◽  
Mary D. Sammel ◽  
Samuel Parry ◽  
Nadav Schwartz
Keyword(s):  
Birth Weight ◽  
Gestational Age ◽  
Small For Gestational Age ◽  
Second Trimester ◽  
3 Dimensional

Second-trimester prediction of delivery of a small-for-gestational-age neonate: integrating sequential Doppler information, fetal biometry, and maternal characteristics

2014 ◽  
Vol 34 (11) ◽  
pp. 1037-1043 ◽  
Author(s):  
Viola Seravalli ◽  
Dana M. Block-Abraham ◽  
Ozhan M. Turan ◽  
Lauren E. Doyle ◽  
Miriam G. Blitzer ◽  
...  
Keyword(s):  
Gestational Age ◽  
Small For Gestational Age ◽  
Second Trimester ◽  
Maternal Characteristics ◽  
Fetal Biometry

Short Femur in the Second Trimester Scan Is Related to Maternal Preeclampsia and Small for Gestational Age Newborns

2020 ◽  
Vol 47 (8) ◽  
pp. 615-623
Author(s):  
Walter Ventura ◽  
Maria Teresa Prieto-Sánchez ◽  
Juan L. Delgado ◽  
Miriam Pertegal ◽  
Antonia López ◽  
...  
Keyword(s):  
Gestational Age ◽  
Small For Gestational Age ◽  
Second Trimester

scholarly journals Examining the predictive accuracy of metabolomics for small-for-gestational-age babies: a systematic review

BMJ Open ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. e031238 ◽  
Author(s):  
Debora Farias Batista Leite ◽  
Aude-Claire Morillon ◽  
Elias F Melo Júnior ◽  
Renato T Souza ◽  
Fergus P McCarthy ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Gestational Age ◽  
Small For Gestational Age ◽  
Predictive Accuracy ◽  
Grey Literature ◽  
Synthesis Methods ◽  
Significant Heterogeneity ◽  
Second Trimester ◽  
Case Control Studies ◽  
Eligibility Criteria

IntroductionTo date, there is no robust enough test to predict small-for-gestational-age (SGA) infants, who are at increased lifelong risk of morbidity and mortality.ObjectiveTo determine the accuracy of metabolomics in predicting SGA babies and elucidate which metabolites are predictive of this condition.Data sourcesTwo independent researchers explored 11 electronic databases and grey literature in February 2018 and November 2018, covering publications from 1998 to 2018. Both researchers performed data extraction and quality assessment independently. A third researcher resolved discrepancies.Study eligibility criteriaCohort or nested case–control studies were included which investigated pregnant women and performed metabolomics analysis to evaluate SGA infants. The primary outcome was birth weight <10th centile—as a surrogate for fetal growth restriction—by population-based or customised charts.Study appraisal and synthesis methodsTwo independent researchers extracted data on study design, obstetric variables and sampling, metabolomics technique, chemical class of metabolites, and prediction accuracy measures. Authors were contacted to provide additional data when necessary.ResultsA total of 9181 references were retrieved. Of these, 273 were duplicate, 8760 were removed by title or abstract, and 133 were excluded by full-text content. Thus, 15 studies were included. Only two studies used the fifth centile as a cut-off, and most reports sampled second-trimester pregnant women. Liquid chromatography coupled to mass spectrometry was the most common metabolomics approach. Untargeted studies in the second trimester provided the largest number of predictive metabolites, using maternal blood or hair. Fatty acids, phosphosphingolipids and amino acids were the most prevalent predictive chemical subclasses.Conclusions and implicationsSignificant heterogeneity of participant characteristics and methods employed among studies precluded a meta-analysis. Compounds related to lipid metabolism should be validated up to the second trimester in different settings.PROSPERO registration numberCRD42018089985.

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