| Risk factors for preterm delivery with placenta previa. | |
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MedLine Citation:
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PMID: 22085154 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Abstract Aims: To identify factors associated with preterm delivery in cases of sonographically identified placenta previa. Methods: Pregnancies with sonographic evidence of placenta previa at ?28 weeks were identified. Demographic information, antepartum course, and delivery information were extracted from electronic medical records. Statistical analysis was performed with Fisher?s exact test, Mann-Whitney U, Spearman?s ? (correlation), and logistic regression. Continuous data are presented as median (interquartile range). Results: Of 113 singleton pregnancies with placenta previa, 54 (48%) delivered at term and 59 (52%) delivered preterm. Fifty-one (45%) experienced antepartum bleeding at a median gestational age of 31 weeks (29?33 weeks) with a median interval of 20 days (11?33 days) between first bleeding episode and delivery. Women with antepartum bleeding were more likely to be delivered for hemorrhage (36 of 51 vs. 8 of 62, P<0.001) and delivered emergently (40 of 51 vs. 14 of 62, P<0.001). Antepartum bleeding before 34 weeks had a positive predictive value of 88% for preterm birth and 83% for emergent delivery. Conclusion: In pregnancies with placenta previa, antepartum bleeding is a strong predictor of preterm delivery. |
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Authors:
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Shira G Fishman; Stephen T Chasen; Bani Maheshwari |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-11-16 |
Journal Detail:
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Title: Journal of perinatal medicine Volume: - ISSN: 1619-3997 ISO Abbreviation: - Publication Date: 2011 Nov |
Date Detail:
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Created Date: 2011-11-16 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0361031 Medline TA: J Perinat Med Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Weill Medical College of Cornell University, New York, NY, USA. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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