| Maternal characteristics and cervical length in the prediction of spontaneous early preterm delivery in twins. | |
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MedLine Citation:
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PMID: 16647922 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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OBJECTIVE: The purpose of this study was to examine the value of combining maternal characteristics and measurement of cervical length at 22 to 24 weeks in the prediction of spontaneous early preterm delivery. STUDY DESIGN: Cervical length was measured by transvaginal sonography at 22 to 24 weeks in 1163 twin pregnancies attending for routine antenatal care. Logistic regression analysis was used to examine the effect of maternal demographic characteristics and cervical length on the risk of spontaneous early preterm delivery. RESULTS: The rate of spontaneous delivery before 32 weeks was 6.5%. The rate of early delivery was inversely related to cervical length, and for a false-positive rate of 10%, the detection rate of early delivery was 65.3%. The respective detection rate for maternal characteristics and obstetric history was 26.4%. Logistic regression analysis demonstrated that the only significant independent predictor of spontaneous early delivery was cervical length. CONCLUSION: In twins, the prediction of spontaneous early preterm delivery by measurement of cervical length at 22 to 24 weeks is not improved by maternal characteristics. |
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Authors:
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Meekai S To; Eduardo B Fonseca; Francisca S Molina; Ana M Cacho; Kypros H Nicolaides |
Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2006-04-21 |
Journal Detail:
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Title: American journal of obstetrics and gynecology Volume: 194 ISSN: 1097-6868 ISO Abbreviation: Am. J. Obstet. Gynecol. Publication Date: 2006 May |
Date Detail:
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Created Date: 2006-05-01 Completed Date: 2006-06-01 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 0370476 Medline TA: Am J Obstet Gynecol Country: United States |
Other Details:
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Languages: eng Pagination: 1360-5 Citation Subset: AIM; IM |
Affiliation:
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Harris Birthright Research Centre for Fetal Medicine, King's College Hospital Medical School, London, United Kingdom. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adolescent Adult Cervix Uteri / ultrasonography* Female Humans Incidence Logistic Models Medical Records Middle Aged Obstetric Labor, Premature / epidemiology, etiology* Predictive Value of Tests Pregnancy Pregnancy, Multiple* ROC Curve Risk Factors Twins* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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