Projects per year
INTRODUCTION: The aim of the QUIDS study is to develop a decision support tool for the management of women with symptoms and signs of preterm labour, based on a validated prognostic model using quantitative fetal fibronectin (fFN) concentration, in combination with clinical risk factors.
METHODS AND ANALYSIS: The study will evaluate the Rapid fFN 10Q System (Hologic, Marlborough, Massachusetts, USA) which quantifies fFN in a vaginal swab. In QUIDS part 2, we will perform a prospective cohort study in at least eight UK consultant-led maternity units, in women with symptoms of preterm labour at 22+0 to 34+6 weeks gestation to externally validate a prognostic model developed in QUIDS part 1. The effects of quantitative fFN on anxiety will be assessed, and acceptability of the test and prognostic model will be evaluated in a subgroup of women and clinicians (n=30). The sample size is 1600 women (with estimated 96-192 events of preterm delivery within 7 days of testing). Clinicians will be informed of the qualitative fFN result (positive/negative) but be blinded to quantitative fFN result. Research midwives will collect outcome data from the maternal and neonatal clinical records. The final validated prognostic model will be presented as a mobile or web-based application.
ETHICS AND DISSEMINATION: The study is funded by the National Institute of Healthcare Research Health Technology Assessment (HTA 14/32/01). It has been approved by the West of Scotland Research Ethics Committee (16/WS/0068).
VERSION: Protocol V.2, Date 1 November 2016.
TRIAL REGISTRATION NUMBER: ISRCTN 41598423andCPMS: 31277.
FingerprintDive into the research topics of 'Study protocol: quantitative fibronectin to help decision-making in women with symptoms of preterm labour (QUIDS) part 2, UK Prospective Cohort Study'. Together they form a unique fingerprint.
- 1 Finished
Quantitative fetal fibronectin to improve decision making in women with signs and symptoms of preterm birth (QUIDS): Spontaneous preterm birth within 7 days risk predictor
Jackson, L. (Creator), Chandiramani, M. (Creator), David, A. (Creator), Khalil, A. (Creator), Shennan, A. (Creator), Gert-Jan, V. B. (Creator), Hodgetts-Morton, V. (Creator), Lavender, T. (Creator), Schuit, E. (Creator), Harper-Clarke, S. (Creator), Mol, B. (Creator), Riley, R. (Creator), Norman, J. (Creator), Norrie, J. (Creator), Dorling, J. (Creator), Stock, S. (Creator), Horne, M. (Creator), Bruijn, M. (Creator), White, H. (Creator), Boyd, K. (Creator), Heggie, R. (Creator), Wotherspoon, L. (Creator), Aucott, L. (Creator) & Morris, R. (Creator), Edinburgh DataShare, 25 Aug 2021