Endocervical and high vaginal quantitative fetal fibronectin in predicting preterm birth

Katy Kuhrt, Christina Unwin, Natasha Hezelgrave, Paul Seed, Andrew Shennan*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

Objective: Accurate prediction of spontaneous preterm birth (sPTB) is essential to target interventions. Fetal fibronectin (fFN) is a leading predictor. A quantitative fFN (qfFN) test has improved prediction, based on high vaginal swabs (HVS). It is not known how endocervical (ECS) fFN levels compare, or which has the best predictive value. Our principal aim was to determine the difference in fFN concentration between HVS and ECS and compare their ability to predict sPTB.

Methods: Asymptomatic high risk women (18+0–30+0 weeks gestation) had secretions sampled from the endocervix (ECS) and vaginal fornix (HVS), analyzed by the quantitative fFN analyzer (Hologic). Mean concentrations were compared; ROC curves were calculated using area under the curve (AUC) for prediction of delivery <30 and 37 weeks.

Results: Mean HVS value was lower than ECS (80 ng/ml (SD142) versus 217 (SD 212) (p < 0.05). Predictive ability was similar: AUC of 0.92 and 0.94, respectively, for prediction of sPTB < 37 and 0.84 and 0.82 for <30 weeks.

Conclusions: Endocervical qfFN is higher than HVS and clinicians should avoid ECS if using traditional thresholds. ECS and HVS are both useful predictors, but require different threshold values. Further work is needed to determine whether ECS is a better and safe test to justify the difficulty in sampling.
Original languageEnglish
Pages (from-to)1576-1579
Number of pages4
JournalJOURNAL OF MATERNAL FETAL AND NEONATAL MEDICINE
Volume27
Issue number15
DOIs
Publication statusPublished - 1 Oct 2014

Keywords

  • Predictive test
  • Premature labour
  • Sampling site

Fingerprint

Dive into the research topics of 'Endocervical and high vaginal quantitative fetal fibronectin in predicting preterm birth'. Together they form a unique fingerprint.

Cite this