Clinical Analysis On Related Factors Of Fetal Weight And The Multiple Regression Equation Establishion

Background:Recent ten years, the rate of caesarean section is higher in China. One of the most important reasons is inaccurate to predict fetal weight. The doctors cannot guide exactly for pregnancy childbirth because of the inaccurate prediction for fetal weight. It will induce the pregnant women has no confidence for vaginal delivery and refuse to try or give up by vaginal delivery. In the other hand, the inaccurate prediction for fetal weight will induce some serious complications, such as dystocia、brachial plexus injury and neonatal asphyxia. The accurate prediction for fetal weight is very important for reducing obstetric complications and increasing the eutocia quality. There have some methods for prediction of fetal weight, but the accurate rate is lower. How to predict fetal weight has become one of the important research projects in maternity field.Objective:To find more accurate estimation method for predicting fetal weight by analysis the correlation between fetal weight and some normal parameters in clinics, such as:height of uterus, abdominal circumference, increased abdominal circumference and fetal biparietal diameter, femur length, and to explore the value of increased abdominal circumference in the prediction for fetal weight.Methods:The280cases of neonatal clinical data, including maternal height, gestational weight, uterus height, abdominal circumference, increased abdominal circumference and fetal biparietal diameter, femur length were analyzed in Zhifu district, Yantai City hospital from December2009to2010. The chi-spuared test, correlation and regression analysis were used to get the regression equation. The fetal weight was calculated by the regression equation and was compared with other prediction methods.Results:The normal used parameters (height of uterus, abdominal circumference, biparietal diameter, femur length) were obviously correlation with the fetal weight. The multiple regression equation for calculation of fetal weight was established by above parameters. The accordance rate of calculated fetal weight by this equation was68.92%. It was more accurate than other methods. At the same time, another multiple regression equation was established using "increasing abdominal circumference(IAC)" to replace "abdominal circumference(AC)". The accordance rate of calculated fetal weight by this equation was70.71%. It was more accurate than using single abdominal circumference. Conclusion:1. The multiple regression equation established by the height of uterus, abdominal circumference, biparietal diameter and femur length was more accurate on the prediction of fetal weight.3. Substituting IAC for AC in the multiple regression equation will get more accurate prediction on fetal weight.