Literature DB >> 23374059

An algorithm for the estimation of gestational age at the time of fetal death.

Deborah L Conway1, Nellie I Hansen, Donald J Dudley, Corette B Parker, Uma M Reddy, Robert M Silver, Radek Bukowski, Halit Pinar, Barbara J Stoll, Michael W Varner, George R Saade, Carol Hogue, Marian Willinger, Donald Coustan, Matthew A Koch, Robert L Goldenberg.   

Abstract

BACKGROUND: Accurate assignment of gestational age (GA) at time of fetal death is important for research and clinical practice. An algorithm to estimate GA at fetal death was developed and evaluated.
METHODS: The algorithm developed by the Stillbirth Collaborative Research Network (SCRN) incorporated clinical and post-mortem data. The SCRN conducted a population-based case-control study of women with stillbirths and livebirths from 2006 to 2008 in five geographical catchment areas. Rules were developed to estimate a due date, identify an interval during which death likely occurred, and estimate GA at the time of fetal death. Reliability of using fetal foot length to estimate GA at death was assessed.
RESULTS: The due date estimated for 620 singleton stillbirths studied was considered clinically reliable for 87%. Only 25.2% of stillbirths were documented alive within 2 days before diagnosis and 47.6% within 1 week of diagnosis. The algorithm-derived estimate of GA at time of fetal death was one or more weeks earlier than the GA at delivery for 43.5% of stillbirths. GA estimated from fetal foot length agreed with GA by algorithm within 2 weeks for 75% within a subset of well-dated stillbirths.
CONCLUSIONS: Precise assignment of GA at death, defined as reliable dating criteria and a short interval (≤1 week) during which fetal death was known to have occurred, was possible in 46.6% of cases. Fetal foot length is a relatively accurate measure of GA at death and should be collected in all stillbirth cases.
© 2013 Blackwell Publishing Ltd.

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Year:  2013        PMID: 23374059      PMCID: PMC3564237          DOI: 10.1111/ppe.12037

Source DB:  PubMed          Journal:  Paediatr Perinat Epidemiol        ISSN: 0269-5022            Impact factor:   3.980


  18 in total

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Authors:  D R Genest; M A Williams; M F Greene
Journal:  Obstet Gynecol       Date:  1992-10       Impact factor: 7.661

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Authors:  D R Genest
Journal:  Obstet Gynecol       Date:  1992-10       Impact factor: 7.661

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