Literature DB >> 17353688

Cervical length and prediction of preterm delivery.

Jacqueline Grimes-Dennis1, Vincenzo Berghella.   

Abstract

PURPOSE OF REVIEW: To present a summary of the literature and most recent advances in the clinical use of cervical length for the prediction of preterm birth. RECENT
FINDINGS: Cervical length is predictive of preterm birth in all populations studied, including asymptomatic women with prior cone biopsy, mullerian anomalies, or multiple dilation and evacuations. While cervical length remains the most predictive measurement, funneling may add to its predictive value in certain populations. In terms of interventions aimed at preventing preterm birth once a short cervical length has been identified in asymptomatic women, recent data from a meta-analysis of all trials published so far point to the benefit of ultrasound-indicated cerclage in women with both a prior preterm birth and a cervical length less than 25 mm. Other interventions for a short cervical length such as progesterone and indomethacin are promising, but deserve further study before clinical recommendations can be made. In women with symptomatic preterm labor, a recent trial has shown that knowledge of cervical length (and fetal fibronectin) may be beneficial both in terms of time to triage and reduction of preterm birth.
SUMMARY: Transvaginal ultrasound cervical length used as a screening tool for prediction and prevention of preterm birth can significantly improve the health outcomes of pregnant patients and their babies.

Entities:  

Mesh:

Year:  2007        PMID: 17353688     DOI: 10.1097/GCO.0b013e3280895dd3

Source DB:  PubMed          Journal:  Curr Opin Obstet Gynecol        ISSN: 1040-872X            Impact factor:   1.927


  13 in total

1.  Pregnancy outcome after cervical conization: risk factors for preterm delivery and the efficacy of prophylactic cerclage.

Authors:  Ka Hyun Nam; Ja Young Kwon; Young-Han Kim; Yong-Won Park
Journal:  J Gynecol Oncol       Date:  2010-12-31       Impact factor: 4.401

Review 2.  Progesterone to prevent spontaneous preterm birth.

Authors:  Roberto Romero; Lami Yeo; Piya Chaemsaithong; Tinnakorn Chaiworapongsa; Sonia S Hassan
Journal:  Semin Fetal Neonatal Med       Date:  2013-12-05       Impact factor: 3.926

3.  Vaginal progesterone to reduce the rate of preterm birth and neonatal morbidity: a solution at last.

Authors:  Roberto Romero
Journal:  Womens Health (Lond)       Date:  2011-09

Review 4.  Cervical assessment by ultrasound for preventing preterm delivery.

Authors:  Vincenzo Berghella; Jason K Baxter; Nancy W Hendrix
Journal:  Cochrane Database Syst Rev       Date:  2013-01-31

Review 5.  Cervical assessment by ultrasound for preventing preterm delivery.

Authors:  Vincenzo Berghella; Jason K Baxter; Nancy W Hendrix
Journal:  Cochrane Database Syst Rev       Date:  2009-07-08

6.  2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) enhances placental inflammation.

Authors:  Morgan R Peltier; Yuko Arita; Natalia G Klimova; Ellen M Gurzenda; Hchi-Chi Koo; Amitasrigowri Murthy; Veronica Lerner; Nazeeh Hanna
Journal:  J Reprod Immunol       Date:  2013-05-01       Impact factor: 4.054

7.  Cervical assessment by ultrasound for preventing preterm delivery.

Authors:  Vincenzo Berghella; Gabriele Saccone
Journal:  Cochrane Database Syst Rev       Date:  2019-09-25

8.  Cervical length versus vaginal PH in the second trimester as preterm birth predictor.

Authors:  Fatemeh Foroozanfard; Zohreh Tabasi; Elaheh Mesdaghinia; Mojtaba Sehat; Mahdian Mehrdad
Journal:  Pak J Med Sci       Date:  2015 Mar-Apr       Impact factor: 1.088

9.  Preterm Birth Prevention Post-Conization: A Model of Cervical Length Screening with Targeted Cerclage.

Authors:  Lindsay M Kindinger; Maria Kyrgiou; David A MacIntyre; Stefano Cacciatore; Angela Yulia; Joanna Cook; Vasso Terzidou; T G Teoh; Phillip R Bennett
Journal:  PLoS One       Date:  2016-11-03       Impact factor: 3.240

10.  The interaction between vaginal microbiota, cervical length, and vaginal progesterone treatment for preterm birth risk.

Authors:  Lindsay M Kindinger; Phillip R Bennett; Yun S Lee; Julian R Marchesi; Ann Smith; Stefano Cacciatore; Elaine Holmes; Jeremy K Nicholson; T G Teoh; David A MacIntyre
Journal:  Microbiome       Date:  2017-01-19       Impact factor: 14.650

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