Literature DB >> 23075245

Early prediction of macrosomia based on an analysis of second trimester amniotic fluid by capillary electrophoresis.

Michel R Boisvert1, Kristine G Koski, David H Burns, Cameron D Skinner.   

Abstract

AIM: To identify, using capillary electrophoresis and chemometrics, early biomarkers in human amniotic fluid of large-for-gestational-age (LGA) infants. MATERIALS &
METHODS: Second trimester amniotic fluid samples, obtained from mothers undergoing age-related amniocentesis, were analyzed by capillary electrophoresis. Electropherogram data were aligned using correlation-optimized warping. A genetic algorithm using a Bayesian evaluation function and a leave-one-out cross-validation strategy for two birth outcomes: appropriate-for-gestational-age (AGA) versus LGA infants.
RESULTS: LGA (n = 23) was differentiated from AGA (n = 86) with a sensitivity of 100% and a specificity of 98% using only two wavelets. The first wavelet is associated with albumin and the second wavelet with an unknown small molecule.
CONCLUSION: The approach developed herein allows LGA fetuses to be metabolically distinguished from AGA fetuses early in pregnancy and indicates that the birth of a LGA infant is already associated with an altered biochemical profile by the second trimester.

Entities:  

Mesh:

Year:  2012        PMID: 23075245     DOI: 10.2217/bmm.12.54

Source DB:  PubMed          Journal:  Biomark Med        ISSN: 1752-0363            Impact factor:   2.851


  4 in total

Review 1.  The Applications of Genetic Algorithms in Medicine.

Authors:  Ali Ghaheri; Saeed Shoar; Mohammad Naderan; Sayed Shahabuddin Hoseini
Journal:  Oman Med J       Date:  2015-11

2.  Artificial Intelligence Methodologies and Their Application to Diabetes.

Authors:  Mercedes Rigla; Gema García-Sáez; Belén Pons; Maria Elena Hernando
Journal:  J Diabetes Sci Technol       Date:  2017-05-25

Review 3.  Biomarkers for Macrosomia Prediction in Pregnancies Affected by Diabetes.

Authors:  Sofia Nahavandi; Jas-Mine Seah; Alexis Shub; Christine Houlihan; Elif I Ekinci
Journal:  Front Endocrinol (Lausanne)       Date:  2018-07-31       Impact factor: 5.555

4.  A first trimester prediction model for large for gestational age infants: a preliminary study.

Authors:  Francesca Monari; Daniela Menichini; Ludovica Spano' Bascio; Giovanni Grandi; Federico Banchelli; Isabella Neri; Roberto D'Amico; Fabio Facchinetti
Journal:  BMC Pregnancy Childbirth       Date:  2021-09-24       Impact factor: 3.007

  4 in total

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