Preterm birth prediction in asymptomatic women at mid-gestation using a panel of novel protein biomarkers: the Prediction of PreTerm Labor (PPeTaL) study.

San Min Leow; Megan KW Di Quinzio; Zhen Long Ng; Claire Grant; Tal Amitay; Ying Wei; Moshe Hod; Penelope M Sheehan; Shaun P Brennecke; Nir Arbel; Harry M Georgiou

Journal article

Preterm birth prediction in asymptomatic women at mid-gestation using a panel of novel protein biomarkers: the Prediction of PreTerm Labor (PPeTaL) study.

San Min Leow, Megan KW Di Quinzio, Zhen Long Ng, Claire Grant, Tal Amitay, Ying Wei, Moshe Hod, Penelope M Sheehan, Shaun P Brennecke, Nir Arbel, Harry M Georgiou

American Journal of Obstetrics and Gynecology MFM | Elsevier | Published : 2020

DOI: 10.1016/j.ajogmf.2019.100084

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Abstract

BACKGROUND: Accurate prediction of spontaneous preterm labor/preterm birth in asymptomatic women remains an elusive clinical challenge because of the multi-etiological nature of preterm birth. OBJECTIVE: The aim of this study was to develop and validate an immunoassay-based, multi-biomarker test to predict spontaneous preterm birth. MATERIALS AND METHODS: This was an observational cohort study of women delivering from December 2017 to February 2019 at 2 maternity hospitals in Melbourne, Australia. Cervicovaginal fluid samples were collected from asymptomatic women at gestational week 16+0-24+0, and biomarker concentrations were quantified by enzyme-linked immunosorbent assay. Women w..

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