Gestational Age Correlation by Last Menstrual Period, Ultrasonography and Newballardscore
Journal Title: International Journal of Contemporary Medical Research - Year 2018, Vol 5, Issue 7
Abstract
Introduction: The estimation of gestational age at birth is essential to differentiate between small for dates and truly preterm because of different rates of mortality and morbidity in these subgroups. We do come across many babies born to mothers with an unreliable menstrual history, irregular antenatal checkups and ultrasonography. So clinical examination of newborn becomes very important and an attempt was made in our study to see if Newballardscoring system can be used reliably to determine gestational age. The main aim of the study was to estimate gestational age of newborn using New Ballard score when no reliable maternal menstrual history, or the antenatal scan is available as in rural areas. Hence gestational age assessment based on physical and neuromuscular maturity is the only means available to stratify the newborn in to small for dates and truly premature as morbidity and mortality in these subgroups is different and to device treatment protocol accordingly. Material and methods: Babies born to mothers who had regular antenatal follow-ups at our hospital were selected for study. Expected date of delivery was calculated by first day of menstrual period and prenatal scan was done at different gestational ages is documented and post-natally New Ballard scoring is used to assess gestational age. Results: Statistical analysis was done by Karl Pearson coefficient of correlation. Mean and standard deviation was calculated and compared to main value. Conclusion: Regression analysis showed linear relationship of gestational age by Newballardscoring with gestational age by ultrasonography and last menstrual period indicating that we can use Newballardscoring system to assess gestational age at birth when no other means of knowing gestational age is available with the newborn.
Authors and Affiliations
yothsna B, Madoori Srinivas, Indu Priya, Naresh Motvani, Sunitha . , Sridevi .
Keywords
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