Predicting early delivery in pregnant women

Article

Two prediction models using analysis of amniotic or cervical fluids may help identify which pregnant women in preterm labor will deliver within 7 days, according to research published in the August issue of Obstetrics & Gynecology.

Two prediction models using analysis of amniotic or cervical fluids may help identify which pregnant women in preterm labor will deliver within 7 days, according to research published in the August issue of Obstetrics & Gynecology.

Rose-Marie Holst, MD, of the Sahlgrenska University Hospital East in Goteborg, Sweden, and colleagues analyzed data from 89 women presenting in preterm labor at 22 to 33 weeks of gestational age. Women underwent testing for 27 proteins in amniotic and cervical fluids.

The researchers found that a multivariable prediction model incorporating amniotic macrophage inflammatory protein-1β, cervical interferon-γ, and monocyte chemotactic protein-1 predicted outcome with 91% sensitivity, 84% specificity, and 78% positive and 94% negative predictive value. Another model, this one noninvasive, incorporated factors including cervical length and cervical interferon-γ, and predicted early delivery with 85% sensitivity, 82% specificity, and 74% positive and 90% negative predictive value.

“We found two different prediction models that might be useful to clinicians in discriminating between women with symptoms who will deliver preterm and women who will not. The reasonably high positive predictive value and negative predictive value means that both women at considerable risk of delivering preterm and who may be targeted for treatment and women at low risk who could be sent home can be identified," the authors write.

Holst RM, Hagberg H, Wennerholm UB, et al. Prediction of spontaneous preterm delivery in women with preterm labor: analysis of multiple proteins in amniotic and cervical fluids.

Obstet Gynecol

. 2009;114:268-277.

Recent Videos
Revi System shows efficacy against urgency urinary incontinence | Image Credit: ics.org.
1 expert is featured in this series.
Researchers highlight risks of breastfeeding while taking Levetiracetam | Image Credit: uwaterloo.ca.
Ipek Ensari, PhD, highlights improved mental health in chronic pelvic pain from physical activity | Image Credit: scholars.mssm.edu
New pSNM system empowers patients in urge urinary incontinence treatment | Image Credit: trinityhealthmichigan.org.
Jannah Thompson, MD, highlights battery free device for UUI management | Image Credit: trinityhealthmichigan.org
Anietie Aliu, PhD, highlights racial barriers to breast cancer screening | Image Credit: bbc.com.
Anietie Aliu, PhD, discusses how to improve breast cancer screening disparities | Image Credit: bbc.com
Jennifer Payne, MD, highlights how to help young women with perimenopause symptoms | Image Credit: uvahealth.com/findadoctor.
Perimenopausal symptoms in young women discussed by Jennifer Payne, MD | Image Credit: uvahealth.com/findadoctor.
Related Content
© 2025 MJH Life Sciences

All rights reserved.