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Related Experiment Videos

Birthweight between 14 and 42 weeks' gestation.

D V Keen, R G Pearse

    Archives of Disease in Childhood
    |May 1, 1985
    PubMed
    Summary
    This summary is machine-generated.

    This study presents fetal weight gain data from 1976-1984 in Sheffield. Improved assessment techniques enhance accuracy, making previous charts unsuitable for this population.

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    Area of Science:

    • Obstetrics and Gynecology
    • Neonatalogy
    • Perinatal Medicine

    Background:

    • Accurate fetal growth monitoring is crucial for infant health.
    • Previous fetal weight charts may not reflect current populations due to improved assessment techniques.
    • Gestational age assessment accuracy has historically impacted fetal weight distribution analysis.

    Purpose of the Study:

    • To establish updated fetal weight gain curves for infants from 14 to 42 weeks' gestation.
    • To evaluate the impact of advanced obstetric and pediatric assessment methods on fetal growth data.
    • To determine the suitability of existing fetal weight charts for the Sheffield population.

    Main Methods:

    • Analysis of data from 57,866 livebirths in Sheffield (1976-1984).

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  • Inclusion of data from therapeutically terminated and spontaneously aborted fetuses during the same period.
  • Comparison of current data with historical fetal weight distribution patterns.

    • Main Results:

    • Preterm livebirths exhibit similar weight distributions to in-utero fetuses until the third trimester.
    • The study's weight distribution patterns suggest enhanced accuracy in gestational age assessment.
    • Mean fetal weights in this cohort differ significantly from the Gairdner and Pearson charts.

    Conclusions:

    • Updated fetal weight gain curves are necessary for accurate monitoring in the Sheffield population.
    • Modern ultrasonography and pediatric assessment have improved the reliability of gestational age determination.
    • Existing reference charts are deemed inappropriate for the studied population, necessitating localized data.