A proposed method to predict preterm birth using clinical data, standard maternal serum screening, and cholesterol

Brandon W Alleman; Amanda R Smith; Heather M Byers; Bruce Bedell; Kelli K Ryckman; Jeffrey C Murray; Kristi S Borowski

doi:10.1016/j.ajog.2013.03.005

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A proposed method to predict preterm birth using clinical data, standard maternal serum screening, and cholesterol

Journal article

Peer reviewed

A proposed method to predict preterm birth using clinical data, standard maternal serum screening, and cholesterol

Brandon W Alleman, Amanda R Smith, Heather M Byers, Bruce Bedell, Kelli K Ryckman, Jeffrey C Murray and Kristi S Borowski

American journal of obstetrics and gynecology, Vol.208(6), pp.472.e1-472.e11

06/2013

DOI: 10.1016/j.ajog.2013.03.005

PMCID: PMC3765002

PMID: 23500456

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https://www.ncbi.nlm.nih.gov/pmc/articles/3765002View

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Abstract

The objective of the study was to create a predictive model for preterm birth (PTB) from available clinical data and serum analytes. Serum analytes and routine pregnancy screening plus cholesterol and corresponding health information were linked to birth certificate data for a cohort of 2699 Iowa women with serum sampled in the first and second trimester. Stepwise logistic regression was used to select the best predictive model for PTB. Serum screening markers remained significant predictors of PTB, even after controlling for maternal characteristics. The best predictive model included maternal characteristics, first-trimester total cholesterol, total cholesterol change between trimesters, and second-trimester alpha-fetoprotein and inhibin A. The model showed better discriminatory ability than PTB history alone and performed similarly in subgroups of women without past PTB. Using clinical and serum screening data, a potentially useful predictor of PTB was constructed. Validation and replication in other populations, and incorporation of other measures that identify PTB risk, like cervical length, can be a step toward identifying additional women who may benefit from new or currently available interventions.

Cholesterol

preterm birth

prediction

serum screening

Details

Title: Subtitle: A proposed method to predict preterm birth using clinical data, standard maternal serum screening, and cholesterol
Creators: Brandon W Alleman - Department of Pediatrics, University of Iowa School of Medicine, Iowa City, IA
Amanda R Smith - University of Iowa
Heather M Byers - Department of Obstetrics and Gynecology, University of Iowa School of Medicine, Iowa City, IA
Bruce Bedell - Department of Obstetrics and Gynecology, University of Iowa School of Medicine, Iowa City, IA
Kelli K Ryckman - Department of Pediatrics, University of Iowa School of Medicine, Iowa City, IA
Jeffrey C Murray - Department of Pediatrics, University of Iowa School of Medicine, Iowa City, IA
Kristi S Borowski - Department of Obstetrics and Gynecology, University of Iowa School of Medicine, Iowa City, IA
Resource Type: Journal article
Publication Details: American journal of obstetrics and gynecology, Vol.208(6), pp.472.e1-472.e11
DOI: 10.1016/j.ajog.2013.03.005
PMID: 23500456
PMCID: PMC3765002
NLM abbreviation: Am J Obstet Gynecol
ISSN: 0002-9378
eISSN: 1097-6868
Publisher: Mosby, Inc
Grant note: 2 UL1 TR000442-06 / University of Iowa Clinical and Translational Science Award T325GM007337 / University of Iowa Medical Scientist Training Program OPP52256; RSDP 5K12 HD-000849-23 / Bill and Melinda Gates Millennium 6-FY11-261; 11-FY10-180 / March of Dimes R01 HD-57192; R01 HD-52953 / National Institutes of Health
Language: English
Date published: 06/2013
Academic Unit: Anatomy and Cell Biology; International Programs; Stead Family Department of Pediatrics; Epidemiology; Pediatric Dentistry; Craniofacial Anomalies Research Center; Nursing; Public Policy Center (Archive); Dental Research
Record Identifier: 9983995044302771

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