Literature DB >> 2206075

Evaluation of a risk scoring system as a predictor of preterm birth in an indigent population.

J Owen1, R L Goldenberg, R O Davis, K A Kirk, R L Copper.   

Abstract

A risk scoring system designed to predict spontaneous preterm birth was implemented in a large, indigent population as part of a multicenter trial of preterm birth prevention. A total of 7478 women with singleton gestations were screened and followed up prospectively at the Birmingham project center. Patients who had an indicated preterm delivery or a fetal anomaly were excluded from the study population. Analysis by assigned risk score and parity showed that, whereas the sensitivity and positive predictive value were better in multiparous women than in nulliparous women, overall the values were low. Logistic regression analyses of the multiparous and nulliparous populations showed independent sets of significant (p less than or equal to 0.05) risk variables. A history of preterm delivery and a low prepregnancy weight were the most predictive risk factors in the multiparous and nulliparous models, respectively. We conclude that the clinical usefulness of a risk scoring system to predict spontaneous preterm birth in an indigent population is limited.

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Year:  1990        PMID: 2206075     DOI: 10.1016/0002-9378(90)91086-r

Source DB:  PubMed          Journal:  Am J Obstet Gynecol        ISSN: 0002-9378            Impact factor:   8.661


  3 in total

Review 1.  Management of preterm labour.

Authors:  S Vause; T Johnston
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2000-09       Impact factor: 5.747

2.  Predicting Preterm Birth Among Women Screened by North Carolina's Pregnancy Medical Home Program.

Authors:  Christine M Tucker; Kate Berrien; M Kathryn Menard; Amy H Herring; Julie Daniels; Diane L Rowley; Carolyn Tucker Halpern
Journal:  Matern Child Health J       Date:  2015-11

3.  New model for predicting preterm delivery during the second trimester of pregnancy.

Authors:  Ya-Zhi Zhu; Guo-Qin Peng; Gui-Xiang Tian; Xue-Ling Qu; Shui-Yuan Xiao
Journal:  Sci Rep       Date:  2017-09-12       Impact factor: 4.379

  3 in total

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