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Study protocol: quantitative fibronectin to help decision-making in women with symptoms of preterm labour (QUIDS) part 2, UK Prospective Cohort Study

Study protocol: quantitative fibronectin to help decision-making in women with symptoms of preterm labour (QUIDS) part 2, UK Prospective Cohort Study
Study protocol: quantitative fibronectin to help decision-making in women with symptoms of preterm labour (QUIDS) part 2, UK Prospective Cohort Study

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).

cervix, diagnostic test, fetal fibronectin, pregnancy, preterm birth
2044-6055
Stock, Sarah Jane
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Wotherspoon, Lisa M.
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Boyd, Kathleen Anne
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Morris, Rachel K.
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Dorling, Jon
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Jackson, Lesley
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Chandiramani, Manju
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David, Anna L.
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Khalil, Asma
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Shennan, Andrew
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Hodgetts Morton, Victoria
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Lavender, Tina
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Khan, Khalid
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Harper-Clarke, Susan
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Mol, Ben
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Riley, Richard D.
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Norrie, John
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Norman, Jane
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Stock, Sarah Jane
e853179b-67bb-4db8-9318-80e46b4a3146
Wotherspoon, Lisa M.
8ca0207c-1698-4950-8122-69a37f365056
Boyd, Kathleen Anne
4e307b13-0144-45b6-91cc-970134d58b40
Morris, Rachel K.
c8870b5c-1703-4244-83bb-b4020543b2b1
Dorling, Jon
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Jackson, Lesley
7715ef76-5e65-4f18-b2ae-f48a83ef520b
Chandiramani, Manju
051a4be9-fb77-47f6-b6ec-9ea4fa693c39
David, Anna L.
b1bdabf9-732b-424e-80a0-6e130752a206
Khalil, Asma
b1f0d35b-6e04-4b2a-acfb-8aaac887d512
Shennan, Andrew
31b9fbc9-c314-4c6a-b183-09988219e22d
Hodgetts Morton, Victoria
27262e4d-9e1c-47c7-b108-66dcb2985d15
Lavender, Tina
bcae45fe-46b3-4637-8029-41ec065abaee
Khan, Khalid
31bc2d01-b61c-479d-908c-784c94487b72
Harper-Clarke, Susan
90d31ec6-619f-4715-919b-056627a75210
Mol, Ben
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Riley, Richard D.
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Norrie, John
d648d104-39a0-481f-af0f-9a7209d50fb5
Norman, Jane
8f74765e-064d-443b-b4aa-adab2784b991

Stock, Sarah Jane, Wotherspoon, Lisa M., Boyd, Kathleen Anne, Morris, Rachel K., Dorling, Jon, Jackson, Lesley, Chandiramani, Manju, David, Anna L., Khalil, Asma, Shennan, Andrew, Hodgetts Morton, Victoria, Lavender, Tina, Khan, Khalid, Harper-Clarke, Susan, Mol, Ben, Riley, Richard D., Norrie, John and Norman, Jane (2018) Study protocol: quantitative fibronectin to help decision-making in women with symptoms of preterm labour (QUIDS) part 2, UK Prospective Cohort Study. BMJ Open, 8 (4), [e020795]. (doi:10.1136/bmjopen-2017-020795).

Record type: Article

Abstract

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).

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More information

Accepted/In Press date: 2 March 2018
Published date: 19 April 2018
Additional Information: Publisher Copyright: © 2018 Article author(s).
Keywords: cervix, diagnostic test, fetal fibronectin, pregnancy, preterm birth

Identifiers

Local EPrints ID: 493018
URI: http://eprints.soton.ac.uk/id/eprint/493018
ISSN: 2044-6055
PURE UUID: 37237476-7625-400c-9352-cfb83e01a759
ORCID for Jon Dorling: ORCID iD orcid.org/0000-0002-1691-3221

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Date deposited: 21 Aug 2024 17:15
Last modified: 22 Aug 2024 02:10

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Contributors

Author: Sarah Jane Stock
Author: Lisa M. Wotherspoon
Author: Kathleen Anne Boyd
Author: Rachel K. Morris
Author: Jon Dorling ORCID iD
Author: Lesley Jackson
Author: Manju Chandiramani
Author: Anna L. David
Author: Asma Khalil
Author: Andrew Shennan
Author: Victoria Hodgetts Morton
Author: Tina Lavender
Author: Khalid Khan
Author: Susan Harper-Clarke
Author: Ben Mol
Author: Richard D. Riley
Author: John Norrie
Author: Jane Norman

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