Literature DB >> 15346670

The utility of fFN for the prediction of preterm birth in twin gestations.

R Jeanne Ruiz1, Judith Fullerton, Charles E L Brown.   

Abstract

OBJECTIVE: To determine the sensitivity, specificity, and positive predictive value (PPV) of fetal fibronectin (fFN) and to determine its usefulness, in conjunction with selected other clinical assessment measures, in the prediction of preterm birth for women with twin gestations.
DESIGN: A prospective, descriptive, longitudinal design.
SETTING: An obstetrical high-risk clinic that received patient referrals from several surrounding communities in central Texas. PATIENTS/PARTICIPANTS: Forty-eight women identified with twin gestations prior to the 22nd week of pregnancy; primarily of Hispanic ethnicity. MAIN OUTCOME MEASURES: A substantial number of outcome variables were assessed in this study. In the present report, data derived from weekly assessments for the identification of the presence of fFN, the diagnosis of bacterial vaginosis, and the measurement of cervical length were reviewed for their relationship to prematurity, birth weight, birth weight discordancy and placental chorionicity.
RESULTS: The relative risk of birth prior to 35 weeks gestation, fetal death, or discordance of twin birth weights of greater than 20% was 2.22 (CI: 1.09, 4.55, P < 0.015) when fFN was found to be positive at any weekly testing after 22 to 24 weeks gestation (sensitivity 76.82%, specificity 58.33%, PPV 66.7%). The presence of fFN was most highly predictive of preterm birth when performed during the 24th to 28th gestational week. Shorter cervical lengths were highly correlated with preterm birth (r = -0.6). An association between bacterial vaginosis and preterm birth was not demonstrated in this sample.
CONCLUSION: Sampling for the presence of fetal fibronectin can be easily accomplished by RNs in labor triage units and by advanced practice nurses in outpatient settings. The identification of fFN, particularly during the 24 to 28 weeks gestational time frame, is highly predictive of preterm birth, and particularly so for women with twin gestations.

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Year:  2004        PMID: 15346670     DOI: 10.1177/0884217504267270

Source DB:  PubMed          Journal:  J Obstet Gynecol Neonatal Nurs        ISSN: 0090-0311


  4 in total

Review 1.  Cervicovaginal fetal fibronectin for the prediction of spontaneous preterm birth in multiple pregnancies: a systematic review and meta-analysis.

Authors:  Agustín Conde-Agudelo; Roberto Romero
Journal:  J Matern Fetal Neonatal Med       Date:  2010-12

Review 2.  Prediction of preterm birth in twin gestations using biophysical and biochemical tests.

Authors:  Agustin Conde-Agudelo; Roberto Romero
Journal:  Am J Obstet Gynecol       Date:  2014-07-26       Impact factor: 8.661

Review 3.  Prevention of preterm delivery: current challenges and future prospects.

Authors:  Maud D van Zijl; Bouchra Koullali; Ben Wj Mol; Eva Pajkrt; Martijn A Oudijk
Journal:  Int J Womens Health       Date:  2016-10-31

4.  An artificial neural network prediction model of congenital heart disease based on risk factors: A hospital-based case-control study.

Authors:  Huixia Li; Miyang Luo; Jianfei Zheng; Jiayou Luo; Rong Zeng; Na Feng; Qiyun Du; Junqun Fang
Journal:  Medicine (Baltimore)       Date:  2017-02       Impact factor: 1.889

  4 in total

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