260
Views
4
CrossRef citations to date
0
Altmetric
Original Article

Can sonographic measurements and changes in cervical length during pregnancy predict preterm labour in an asymptomatic low-risk population?

, , , &
Pages 2107-2112 | Received 23 Jun 2017, Accepted 07 Jan 2018, Published online: 18 Jan 2018
 

Abstract

Objective: This study measured cervical length (CL) at 14–16 and 21–24 weeks of gestation and assessed whether the difference between the measurements is predictive of preterm delivery (PTD).

Methods: This retrospective, cohort study included patients with two consecutive CL measured with transvaginal sonography at 14–16 weeks of gestation (CL1) and 21–24 weeks (CL2). Electronic medical records were reviewed for demographic, medical and obstetric history; complications during the current pregnancy and delivery data. CL1, CL2 and the change between scans were evaluated and correlated to PTD prediction.

Results: Among the 216 patients, 196 (90.7%) delivered at term (≥37 weeks) and 20 (9.3%) preterm (<37 weeks). CL1 was not a good predictor of PTD (p = .70). CL2 was significantly shorter in the PTD group (p < .05). The correlation between CL change and PTD was not significant (p = .55). Perinatal outcomes between term and preterm deliveries were similar.

Conclusions: Sonographic measurement of CL at 14- to 16-week gestation and the difference between CL in the first and second scans are not reliable predictors of PTD. However, cervical length at 21–24 weeks in low-risk women is predictive of this complication.

Disclosure statement

The authors report no conflicts of interest.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.