Literature DB >> 28274163

Biomarkers for predicting spontaneous preterm birth: an umbrella systematic review.

Francesca Lucaroni1, Laura Morciano1, Giuseppe Rizzo1, Francesco D' Antonio2, Ersilia Buonuomo1, Leonardo Palombi1, Domenico Arduini1.   

Abstract

OBJECTIVE: To identify all systematic reviews investigating the role of maternal and fetal biomarkers for predicting spontaneous preterm birth (SPTB).
METHODS: Medline and Web of Sciences databases were searched electronically. Studies exploring the association between maternal biomarkers and spontaneous delivery were considered suitable for inclusion. A synthesis of the systematic reviews was performed with the umbrella methodology. Statistical measures of association (Odd ratio, OR, relative risk, RR) and predictive accuracy (sensitivity, specificity, positive and negative likelihood ratios were used to synthesize results of the included studies.
RESULTS: 21,614 articles were identified, 542 were assessed with respect to their eligibility for inclusion and 14 systematic reviews included. Cervical fibronectin was the biomarkers which showed the highest strength of association with the occurrence of SPTB (delivery within 24 h OR 7, 95%CI 3-17; delivery <7 days (OR 12, 95%CI 8-16). Maternal serum alpha fetoprotein, was associated with an OR of 4 and 3 for early and late SPTB. C-reactive protein had an OR of 2 (95%CI 1-2) and 8 (95%CI 4-16) when detected in maternal plasma and amniotic fluid, respectively. Among cytokines, interleukin-6 had an OR and an LR + for SPTB of 2 and 12 when detected in maternal serum.
CONCLUSIONS: Cervical fetal fibronectin, alpha fetoprotein, C- reactive protein and interleukin 6 can have an overall good diagnostic accuracy in identifying pregnancies at risk of SPTB. Large prospective studies in different sub-set of women are needed to ascertain whether the combination of different serological and imaging marker can improve antenatal prediction of this condition.

Entities:  

Keywords:  Preterm birth; biomarkers; cytokines; fibronectin; systematic review

Mesh:

Substances:

Year:  2017        PMID: 28274163     DOI: 10.1080/14767058.2017.1297404

Source DB:  PubMed          Journal:  J Matern Fetal Neonatal Med        ISSN: 1476-4954


  23 in total

1.  Clinical risk models for preterm birth less than 28 weeks and less than 32 weeks of gestation using a large retrospective cohort.

Authors:  Reza Arabi Belaghi; Joseph Beyene; Sarah D McDonald
Journal:  J Perinatol       Date:  2021-06-10       Impact factor: 2.521

Review 2.  Screening for spontaneous preterm birth and resultant therapies to reduce neonatal morbidity and mortality: A review.

Authors:  Angelica V Glover; Tracy A Manuck
Journal:  Semin Fetal Neonatal Med       Date:  2017-12-09       Impact factor: 3.926

3.  Interleukin-17A and Chronic Stress in Pregnant Women at 24-28 Weeks Gestation.

Authors:  Tiffany A Moore; Adam J Case; Therese L Mathews; Crystal Modde Epstein; Katherine Laux Kaiser; Matthew C Zimmerman
Journal:  Nurs Res       Date:  2019 Mar/Apr       Impact factor: 2.381

4.  Metabolomics to reveal biomarkers and pathways of preterm birth: a systematic review and epidemiologic perspective.

Authors:  R A Carter; K Pan; E W Harville; S McRitchie; S Sumner
Journal:  Metabolomics       Date:  2019-09-10       Impact factor: 4.290

5.  Tert-Butyl Hydroperoxide Stimulated Apoptosis Independent of Prostaglandin E2 and IL-6 in the HTR-8/SVneo Human Placental Cell Line.

Authors:  Rita Loch-Caruso; Cassandra S Korte; Kelly A Hogan; Sarah Liao; Craig Harris
Journal:  Reprod Sci       Date:  2020-06-15       Impact factor: 3.060

6.  Environmental pollutant induced cellular injury is reflected in exosomes from placental explants.

Authors:  Samantha Sheller-Miller; Enkhtuya Radnaa; Yuko Arita; Darios Getahun; Richard J Jones; Morgan R Peltier; Ramkumar Menon
Journal:  Placenta       Date:  2019-10-17       Impact factor: 3.481

7.  Maternal HIV infection is associated with distinct systemic cytokine profiles throughout pregnancy in South African women.

Authors:  Charlene Akoto; Shane A Norris; Joris Hemelaar
Journal:  Sci Rep       Date:  2021-05-12       Impact factor: 4.379

8.  Use of metabolomics for predicting spontaneous preterm birth in asymptomatic pregnant women: protocol for a systematic review and meta-analysis.

Authors:  Renato T Souza; Rafael Bessa Galvão; Debora Farias Batista Leite; Renato Passini; Philip Baker; Jose Guilherme Cecatti
Journal:  BMJ Open       Date:  2019-03-04       Impact factor: 2.692

9.  Prediction of preterm birth in nulliparous women using logistic regression and machine learning.

Authors:  Reza Arabi Belaghi; Joseph Beyene; Sarah D McDonald
Journal:  PLoS One       Date:  2021-06-30       Impact factor: 3.240

10.  Interventions during pregnancy to prevent preterm birth: an overview of Cochrane systematic reviews.

Authors:  Nancy Medley; Joshua P Vogel; Angharad Care; Zarko Alfirevic
Journal:  Cochrane Database Syst Rev       Date:  2018-11-14
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