Document Type

Article

Peer Reviewed

1

Publication Date

8-1-2018

NLM Title Abbreviation

J Perinatol.

Journal/Book/Conference Title

Journal of perinatology : official journal of the California Perinatal Association

PubMed ID

29795450

DOI of Published Version

10.1038/s41372-018-0112-0

Start Page

963

End Page

972

Abstract

OBJECTIVE: To evaluate if mid-pregnancy immune and growth-related molecular factors predict preterm birth (PTB) with and without (±) preeclampsia.

STUDY DESIGN: Included were 400 women with singleton deliveries in California in 2009-2010 (200 PTB and 200 term) divided into training and testing samples at a 2:1 ratio. Sixty-three markers were tested in 15-20 serum samples using multiplex technology. Linear discriminate analysis was used to create a discriminate function. Model performance was assessed using area under the receiver operating characteristic curve (AUC).

RESULTS: Twenty-five serum biomarkers along with maternal age80% of women with PTB ± preeclampsia with best performance in women with preterm preeclampsia (AUC = 0.889, 95% confidence interval (0.822-0.959) training; 0.883 (0.804-0.963) testing).

CONCLUSION: Together with maternal age and poverty status, mid-pregnancy immune and growth factors reliably identified most women who went on to have a PTB ± preeclampsia.

Keywords

preeclampsia, obstetrics, preterm birth, pediatrics, growth-factor, biomarker testing

Comments

Funding Supported by the Bill and Melinda Gates Foundation (OPP52256), NIH/NHLBI (RC2 HL101748, RO1 HD-57192, and R01 HD-52953), the March of Dimes Prematurity Center at Stanford University School of Medicine, the Stanford Child Health Research Institute at Stanford University School of Medicine, the Stanford Clinical and Translational Science Award CTSA to Spectrum (UL1 TR001085), the March of Dimes Prematurity Center—Ohio Collaborative, March of Dimes (6-FY11-261 and FY10-180), and the California Preterm Birth Initiative (PTBi-CA) at the University of California San Francisco Benioff Children’s Hospital.

Journal Article Version

Version of Record

Published Article/Book Citation

Jelliffe-Pawlowski, L.L., Rand, L., Bedell, B., Baer, R.J., Oltman, S.P., Norton, M.E., Shaw, G.M., Stevenson, D.K., Murray, J.C., Ryckman, K.K. Prediction of preterm birth with and without preeclampsia using mid-pregnancy immune and growth-related molecular factors and maternal characteristics (2018) Journal of Perinatology, 38 (8), pp. 963-972. https://doi.org/10.1038/s41372-018-0112-0

Rights

© Nature America, Inc., part of Springer Nature 2018

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

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URL

https://ir.uiowa.edu/pediatrics_pubs/20