Citation
Grobman, William A.; Lai, Yinglei; Iams, Jay D.; Reddy, Uma M.; Mercer, Brian M.; Saade, George R.; Tita, Alan T. N.; Rouse, Dwight J.; Sorokin, Yoram; & Wapner, Ronald J., et al. (2016). Prediction of Spontaneous Preterm Birth among Nulliparous Women with a Short Cervix. Journal of Ultrasound in Medicine, 35(6), 1293-1297. PMCID: PMC5086428Abstract
OBJECTIVES: The purpose of this study was to evaluate whether demographic and sonographic factors associated with spontaneous preterm birth among nulliparous women with a cervical length of less than 30 mm could be combined into an accurate prediction model for spontaneous preterm birth.METHODS: We conducted a secondary analysis of a trial of nulliparous women with a singleton gestation and a cervical length of less than 30 mm on transvaginal sonography between 16 and 22 weeks who lacked other risk factors for spontaneous (eg, prior cervical excisional procedure) or medically indicated (eg, chronic hypertension) preterm birth, who were randomized to either 17alpha-hydroxyprogesterone caproate treatment or a placebo. Risk factors associated with spontaneous preterm birth within the entire cohort were identified by univariable analysis. Factors significantly associated (P < .05) with spontaneous preterm birth were included in a multivariable logistic regression analysis to determine whether an accurate prediction model could be developed.
RESULTS: Of the 657 randomized patients, 109 (16.6%) had spontaneous preterm birth before 37 weeks' gestation. Logistic regression analysis revealed only cervical length (odds ratio, 1.06 per 1-mm decrease; 95% confidence interval, 1.02-1.10) to be associated with spontaneous preterm birth. The area under the receiver operating characteristic curve based on this regression was low (0.63; 95% confidence interval, 0.58-0.69). Results were similar for the outcome of spontaneous preterm birth before 34 weeks.
CONCLUSIONS: An accurate prediction model for spontaneous preterm birth among nulliparous women with a short cervix could not be developed.
URL
http://dx.doi.org/10.7863/ultra.15.08035Reference Type
Journal ArticleYear Published
2016Journal Title
Journal of Ultrasound in MedicineAuthor(s)
Grobman, William A.Lai, Yinglei
Iams, Jay D.
Reddy, Uma M.
Mercer, Brian M.
Saade, George R.
Tita, Alan T. N.
Rouse, Dwight J.
Sorokin, Yoram
Wapner, Ronald J.
Leveno, Kenneth J.
Blackwell, Sean C.
Esplin, M. Sean
Tolosa, Jorge E.
Thorp, John M., Jr.
Caritis, Steve N., for the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Maternal-Fetal Medicine Units (MFMU) Network