Literature DB >> 31356681

Fetal fibronectin testing for reducing the risk of preterm birth.

Vincenzo Berghella1, Gabriele Saccone.   

Abstract

BACKGROUND: Fetal fibronectin (FFN) is an extracellular matrix glycoprotein localized at the maternal-fetal interface of the amniotic membranes, between chorion and decidua, where it is concentrated in this area between decidua and trophoblast. In normal conditions, FFN is found at very low levels in cervicovaginal secretions. Levels greater than or equal to 50 ng/mL at or after 22 weeks have been associated with an increased risk of spontaneous preterm birth. In fact, FFN is one of the best predictors of preterm birth in all populations studied so far, and can help in selecting which women are at significant risk for preterm birth. This is an update of a review first published in 2008.
OBJECTIVES: To assess the effectiveness of management based on knowledge of FFN testing results for preventing preterm birth. SEARCH
METHODS: For this update, we searched Cochrane Pregnancy and Childbirth's Trials Register (7 September 2018), ClinicalTrials.gov, the WHO International Clinical Trials Registry Platform (ICTRP) (7 September 2018), and reference lists of retrieved studies. SELECTION CRITERIA: Randomized controlled trials of pregnant women screened with FFN for risk of preterm birth. Studies included are based exclusively on knowledge of FFN results versus no such knowledge, and we have excluded studies including women with only positive or only negative FFN results. DATA COLLECTION AND ANALYSIS: Two review authors independently assessed trials for inclusion and risk of bias, extracted data, and checked them for accuracy. The quality of the evidence was assessed using the GRADE approach. MAIN
RESULTS: We identified 16 trials, of which six were eligible for inclusion. The six included studies randomized 546 women with singleton gestations and threatened preterm labor (PTL) at 23 0/7 to 34 6/7 weeks. A total of 277 women were randomized to knowledge and 269 to no knowledge of FFN. No trials were identified on asymptomatic women or multiple gestations.The risk of bias of included studies was mixed. For selected important outcomes, preterm birth before 37, 34, and 32 weeks, and maternal hospitalization, we graded the quality of the evidence and created a 'Summary of findings' table. For these outcomes, the evidence was graded as mainly low quality due to the imprecision of effect estimates.Management based on knowledge of FFN results may reduce preterm birth before 37 weeks (21.6%) versus controls without such knowledge (29.2%) (risk ratio (RR) 0.72, 95% confidence interval (CI) 0.52 to 1.01; 4 trials; 357 women; low-quality evidence). However, management based on knowledge of FFN results may make little or no difference to preterm birth before 34 (RR 1.09, 95% CI 0.54 to 2.18; 4 trials; 357 women; low-quality evidence) or maternal hospitalization (RR 1.06, 95% CI 0.79 to 1.43; 5 trials; 441 women; low-quality evidence). The evidence for preterm birth before 32 weeks is uncertain because the quality was found to be very low (average RR 0.79, 95% CI 0.16 to 3.96; 4 trials; 357 women; very low-quality evidence).For all other outcomes, for which there were available data (preterm birth less than 28 weeks; gestational age at delivery (weeks); birthweight less than 2500 g; perinatal death; tocolysis; steroids for fetal lung maturity; time to evaluate; respiratory distress syndrome; neonatal intensive care unit (NICU) admission; and NICU days), knowledge of FFN results may make little or no difference to the outcomes. AUTHORS'
CONCLUSIONS: The evidence from this review suggests that management based on knowledge of FFN results may reduce preterm birth before 37 weeks. However, our confidence in this result is limited as the evidence was found to be of low quality. Effects on other substantive outcomes are uncertain due to serious concerns in study design, inconsistency, and imprecision of effect estimates. No trials were identified on asymptomatic women, or multiple gestations.Future studies are needed that include specific populations (e.g. singleton gestations with symptoms of preterm labor), a study group managed with a protocol based on the FFN results, and that report not only maternal but also important perinatal outcomes. Cost-effectiveness analyses are also needed.

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Year:  2019        PMID: 31356681      PMCID: PMC6663121          DOI: 10.1002/14651858.CD006843.pub3

Source DB:  PubMed          Journal:  Cochrane Database Syst Rev        ISSN: 1361-6137


  15 in total

1.  A randomised controlled trial of metronidazole for the prevention of preterm birth in women positive for cervicovaginal fetal fibronectin: the PREMET Study.

Authors:  Andrew Shennan; Sarah Crawshaw; Annette Briley; Jenny Hawken; Paul Seed; Griff Jones; Lucilla Poston
Journal:  BJOG       Date:  2006-01       Impact factor: 6.531

2.  Metronidazole treatment of women with a positive fetal fibronectin test result.

Authors:  R L Goldenberg; M Klebanoff; J C Carey; C Macpherson
Journal:  Am J Obstet Gynecol       Date:  2001-08       Impact factor: 8.661

3.  Cervicovaginal fetal fibronectin as a marker for preterm delivery: a meta-analysis.

Authors:  H Leitich; C Egarter; A Kaider; M Hohlagschwandtner; P Berghammer; P Husslein
Journal:  Am J Obstet Gynecol       Date:  1999-05       Impact factor: 8.661

4.  A randomized multicenter study to determine the efficacy of activity restriction for preterm labor management in patients testing negative for fetal fibronectin.

Authors:  John P Elliott; Hugh S Miller; Suzanne Coleman; Debbie Rhea; Diana Abril; Karen Hallbauer; Niki B Istwan; Gary J Stanziano
Journal:  J Perinatol       Date:  2005-10       Impact factor: 2.521

5.  Randomized clinical trial of metronidazole plus erythromycin to prevent spontaneous preterm delivery in fetal fibronectin-positive women.

Authors:  William W Andrews; Baha M Sibai; Elizabeth A Thom; Donald Dudley; J M Ernest; Donald McNellis; Kenneth J Leveno; Ronald Wapner; Atef Moawad; Mary J O'Sullivan; Steve N Caritis; Jay D Iams; Oded Langer; Menachem Miodovnik; Mitchell Dombrowski
Journal:  Obstet Gynecol       Date:  2003-05       Impact factor: 7.661

6.  The Randomized Nitric Oxide Tocolysis Trial (RNOTT) for the treatment of preterm labor.

Authors:  A Bisits; G Madsen; M Knox; A Gill; R Smith; G Yeo; K Kwek; M Daniel; T N Leung; K Cheung; T Chung; I Jones; J Toohill; D Tudehope; W Giles
Journal:  Am J Obstet Gynecol       Date:  2004-09       Impact factor: 8.661

7.  Does knowledge of cervical length and fetal fibronectin affect management of women with threatened preterm labor? A randomized trial.

Authors:  Amen Ness; John Visintine; Emily Ricci; Vincenzo Berghella
Journal:  Am J Obstet Gynecol       Date:  2007-10       Impact factor: 8.661

8.  Fetal fibronectin: the impact of a rapid test on the treatment of women with preterm labor symptoms.

Authors:  Melanie M Plaut; Wendy Smith; Kathleen Kennedy
Journal:  Am J Obstet Gynecol       Date:  2003-06       Impact factor: 8.661

9.  Prospective randomized controlled trial of fetal fibronectin on preterm labor management in a tertiary care center.

Authors:  M Patrick Lowe; Bridget Zimmerman; Wendy Hansen
Journal:  Am J Obstet Gynecol       Date:  2004-02       Impact factor: 8.661

10.  Does fetal fibronectin use in the diagnosis of preterm labor affect physician behavior and health care costs? A randomized trial.

Authors:  W A Grobman; E E Welshman; E A Calhoun
Journal:  Am J Obstet Gynecol       Date:  2004-07       Impact factor: 8.661

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  8 in total

1.  Human placental proteomics and exon variant studies link AAT/SERPINA1 with spontaneous preterm birth.

Authors:  Heli Tiensuu; Antti M Haapalainen; Mikko Hallman; Mika Rämet; Pinja Tissarinen; Anu Pasanen; Tomi A Määttä; Johanna M Huusko; Steffen Ohlmeier; Ulrich Bergmann; Marja Ojaniemi; Louis J Muglia
Journal:  BMC Med       Date:  2022-04-28       Impact factor: 11.150

2.  Development and validation of a transcriptomic signature-based model as the predictive, preventive, and personalized medical strategy for preterm birth within 7 days in threatened preterm labor women.

Authors:  Yuxin Ran; Jie He; Wei Peng; Zheng Liu; Youwen Mei; Yunqian Zhou; Nanlin Yin; Hongbo Qi
Journal:  EPMA J       Date:  2022-01-18       Impact factor: 6.543

Review 3.  Cervical Assessment for Predicting Preterm Birth-Cervical Length and Beyond.

Authors:  Lee Reicher; Yuval Fouks; Yariv Yogev
Journal:  J Clin Med       Date:  2021-02-07       Impact factor: 4.241

4.  The Potential of Metabolomic Analyses as Predictive Biomarkers of Preterm Delivery: A Systematic Review.

Authors:  Emma Ronde; Irwin K M Reiss; Thomas Hankemeier; Tim G De Meij; Nina Frerichs; Sam Schoenmakers
Journal:  Front Endocrinol (Lausanne)       Date:  2021-09-06       Impact factor: 5.555

5.  Is there a maternal blood biomarker that can predict spontaneous preterm birth prior to labour onset? A systematic review.

Authors:  Kylie K Hornaday; Eilidh M Wood; Donna M Slater
Journal:  PLoS One       Date:  2022-04-04       Impact factor: 3.240

6.  Delivery prediction by quantitative analysis of four steroid metabolites with liquid chromatography tandem mass spectrometry in asymptomatic pregnant women.

Authors:  Lanlan Meng; Shaofei Su; Lin Li; Shengmin Liu; Youran Li; Ying Liu; Yifan Lu; Zhengwen Xu; Lin Liu; Qixin He; Yuanyuan Zheng; Xiaowei Liu; Yuting Cong; Yanhong Zhai; Zhen Zhao; Zheng Cao
Journal:  Ann Med       Date:  2022-12       Impact factor: 5.348

7.  Identification of Preterm Labor Evaluation Visits and Extraction of Cervical Length Measures from Electronic Health Records Within a Large Integrated Health Care System: Algorithm Development and Validation.

Authors:  Fagen Xie; Nehaa Khadka; Michael J Fassett; Vicki Y Chiu; Chantal C Avila; Jiaxiao Shi; Meiyu Yeh; Aniket Kawatkar; Nana A Mensah; David A Sacks; Darios Getahun
Journal:  JMIR Med Inform       Date:  2022-09-06

8.  Use of complete blood count for predicting preterm birth in asymptomatic pregnant women: A propensity score-matched analysis.

Authors:  Mei Ma; Mei Zhu; Bimin Zhuo; Li Li; Honglei Chen; Libo Xu; Zhihui Wu; Feng Cheng; Liangpu Xu; Jianying Yan
Journal:  J Clin Lab Anal       Date:  2020-03-27       Impact factor: 2.352

  8 in total

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