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Predicting Which Cesarean Births Could Cause Uterine Rupture

Date:
February 1, 2009
Source:
Society for Maternal-Fetal Medicine
Summary:
A new study shows that by using a sonogram to measure the lower uterine segment thickness, doctors can predict uterine scar defects in women who had previous cesarean deliveries and anticipate which patients are at risk for subsequent uterine rupture if they have a trial of labor.

In a study to be presented January 30 at the Society for Maternal-Fetal Medicine's (SMFM) annual meeting, researchers will unveil findings that show that by using a sonogram to measure the lower uterine segment (LUS) thickness, they can predict uterine scar defects in women who had previous cesarean deliveries and anticipate which patients are at risk for subsequent uterine rupture if they have a trial of labor.

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The Centers for Disease Control's Web site lists statistics from the National Vital Statistics System that show that there has been a sharp increase in the number of cesarean births. "Preliminary data for 2005 indicate that 30.2% of all live births in the United States were cesarean deliveries, marking the highest U.S. total cesarean rate ever reported. Since 1996, the total cesarean rate has increased by 46%, driven by both an increase in the percentage of all women having a first cesarean and a decline in the percentage of women delivering vaginally after a previous cesarean."

Repeat cesarean deliveries are an obvious concern. "There is a growing concern about the increase in cesarean births because there is a body of evidence showing that they are associated with higher rates of maternal and infant complications," said Emmanuel Bujold, M.D., with the Department of Obstetrics & Gynecology, Faculty of Medicine, Universite Laval, Quebec. "There are far fewer complications to the mother and infants as a result of a vaginal birth," he continued, "So it is important to determine when a patient with a history of prior cesarean section can have a vaginal birth safely."

The study looked at 236 women who had a prior cesarean delivery. Their LUS thickness was measured between 35 and 38 weeks of gestation. Three cases of complete uterine rupture and six cases of uterine scar dehiscence were reported. Analysis demonstrated significant associations between the risk of uterine rupture during trials of labor and full LUS thickness. The combination of full LUS thickness under 2.3mm and a single-layer muscular closure was significantly associated with uterine rupture (relative risk: 21.8, 95% CI: 2.1-222, p,<0.0001) during labor.

"The study results will help us predict, for patients who have given birth through cesarean section before, which ones are at high risk for uterine rupture during labor in a subsequent pregnancy," said Dr. Bujold. "That will help us better advise women about having a vaginal birth the next time."

These findings add to the evidence initially presented by a study of Rozenberg and colleagues published in the Lancet in 1996 and may allow obstetricians to encourage patients who have a reassuring LUS thickness to have a vaginal delivery.

The study was authored by Nicole Jastro, M.D., Robert J. Gauthier, M.D., Jessica Simoneau, Suzanne Brunet, Department of Obstetrics & Gynecology, University of Montreal; and Emmanuel Bujold, M.D., Universite Laval Department of Obstetrics & Gynecology, Quebec.


Story Source:

The above story is based on materials provided by Society for Maternal-Fetal Medicine. Note: Materials may be edited for content and length.


Cite This Page:

Society for Maternal-Fetal Medicine. "Predicting Which Cesarean Births Could Cause Uterine Rupture." ScienceDaily. ScienceDaily, 1 February 2009. <www.sciencedaily.com/releases/2009/01/090130154854.htm>.
Society for Maternal-Fetal Medicine. (2009, February 1). Predicting Which Cesarean Births Could Cause Uterine Rupture. ScienceDaily. Retrieved November 26, 2014 from www.sciencedaily.com/releases/2009/01/090130154854.htm
Society for Maternal-Fetal Medicine. "Predicting Which Cesarean Births Could Cause Uterine Rupture." ScienceDaily. www.sciencedaily.com/releases/2009/01/090130154854.htm (accessed November 26, 2014).

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