Analysis of anthropometric data for premature infants of 26 to 35 weeks of gestation; comparison with the data of 1960's

Aum, Ji A; Jung, Hee Jin; Huh, Jae Won; Son, Sang Hee

Abstract

PURPOSE: The anthropometric data of newborns published by Lubchenco et al in the 1960's have been most commonly used in Korea as a standard of newborn growth. We hypothesized that Lubchenco's data have limitations for Korean premature infants born in the 2000's. We analyzed and compared the data of birth weight, length, and head circumference.
METHODS
The medical records of 1,159 premature infants of 26 to 35 weeks of gestational age born at Il-Sin Christian Hospital of Busan from January 2,000 to August 2,006 were reviewed. The anthropometric data from total 1,010 premature infants were analyzed after excluding the data from infants whose gestational age were estimated by other than ultrasonogram, and infants with major congenital anomalies or chromosomal anomaly, born from foreign parent, and extreme outliers.
RESULTS
In the birth weights by gestational age, our 90 percentile values were lower than Lubchenco's 90 percentile values for all gestational age studied, particularly for less than 30 weeks the 90 percentile curve was drawn at the area as that of Lubchenco' 75 percentile. And our 10 percentile values were higher than Lubchenco's 10 percentile values for all gestational age studied. In the birth length and head circumference by gestational age, our 90 percentile values were lower than Lubchenco's 90 percentile values for all gestational age studied, and the 90 percentile curve was drawn at the area as that of Lubchenco's 75 percentile. And our 10 percentile values were higher than Lubchenco's 10 percentile values for all gestational age studied.
CONCLUSION
It is unreasonable to apply Lubchenco's data published before 4th decades to present Korean premature infants and have a risk to underestimate intrauterine growth retardation or small for gestational age and large for gestational age. Considering for the possibility of increasing the mortality and morbidity of premature infants due to delayed diagnosis and treatment by these underestimating, our anthropometric data of premature infant is expected to contribute to lower the mortality and morbidity of premature infants.