Fd. Johnstone et al., CLINICAL AND ULTRASOUND PREDICTION OF MACROSOMIA IN DIABETIC PREGNANCY, British journal of obstetrics and gynaecology, 103(8), 1996, pp. 747-754
Objective To study prospectively the prediction power, at different ge
stations, of clinical and ultrasound measurements for fetal size in di
abetic pregnancy. Setting A large combined obstetric diabetic clinic i
n a teaching hospital. Participants One hundred and eighty-one pregnan
cies in which women had scans at least two of three specific time poin
ts and who were delivered of singletons after 34 weeks: 73% were pre-g
estational insulin-dependent diabetics, the others were pre-gestationa
l White class A or gestational diabetics. Interventions Clinical estim
ates of fundal height and fetal size and ultrasound estimates of abdom
inal circumference and head circumference were routinely carried out a
t gestational ages of 28, 34 and 38 weeks or before delivery. Main out
come measures Standardised birthweight, corrected for gestation and pa
rity. The relation with clinical and ultrasound measurements was inves
tigated using multiple linear regression and the capability of the mea
surements to predict macrosomic births (>95th centile of normals) usin
g receiver-operator characteristic curves. Results All measurements ar
e poor predictors of eventual standardised birthweight. Prediction imp
roves with closeness to delivery. Prediction is significantly improved
by adding ultrasound to clinical information, but at 34 weeks or late
r this only contributes 8% of the variance. There is no difference in
the prediction power for macrosomia between clinical and ultrasound me
asurements. Conclusions Even regular serial scanning and clinical exam
ination will not always diagnose the macrosomic fetus in diabetic preg
nancy. In our hands, clinical examination is as predictive as ultrasou
nd measurements. Ultrasound does add to clinical prediction power but
only to a small extent. Ultrasound should be used in a selected way, a
s defined by clinical findings, and with recognition and understanding
of the errors and biases involved.