abdominal circumference vs. estimated weight to predict large for gestational age birth weight in...
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Abdominal circumference vs. estimated weight to predict large for
gestational age birth weight in diabetic pregnancy
William L. Holcomb Jr.a,*, Dorothea J. Mostelloa, Diana L. Grayb
aSt. Louis University School of Medicine, 6420 Clayton Road, St. Louis, MO 63117, USAbWashington University School of Medicine, St. Louis, MO, USA
Received 20 September 1999; accepted 1 March 2000
Abstract
Early third trimester fetal abdominal circumference and sonographic fetal weight estimates were compared to predict large for gestational
age birth weight in diabetic pregnancy. Both parameters have similar sensitivity, specificity, and predictive values. However, the optimal
percentile cutoff values differ. Choice of birth weight standard significantly influences test characteristics. Negative prediction of large birth
weight is more accurate than positive prediction. At third trimester sonography with maternal diabetes, the abdominal circumference
percentile is potentially useful and should be routinely reported. D 2000 Elsevier Science Inc. All rights reserved.
Keywords: Fetus; Ultrasound; Diabetes mellitus; Abdominal circumference; Large for gestational age
1. Introduction
Almost 20 years ago, Ogata et al. [1] associated an
abnormally large fetal abdominal circumference (AC) mea-
sured between 28 and 32 weeks with `̀ accelerated somatic
growth'' in diabetic pregnancy. Fetuses with AC measure-
ments two standard deviations greater than the mean for
gestational age became newborns with increased birth
weight and increased skin-fold thickness. They also had
increased amnionic fluid insulin levels. Seven years later,
Bochner et al. [2] found that fetuses of diet-controlled
gestational diabetic women with AC greater than the 90th
percentile at 30±33 weeks had larger birth weight babies
with increased shoulder dystocia, birth trauma, and Cesar-
ean delivery for arrested labor. Subsequently, Buchanan et
al. [3] performed a controlled clinical trial in which women
with mild gestational diabetes and fetal AC greater than the
75th percentile at 29±33 weeks were randomly assigned to
insulin + diet vs. diet alone. Women in the insulin group
delivered babies with decreased skin-fold thickness who
were less than one-third as likely to be large for gestational
age (LGA) at birth. This demonstrated the potential utility of
fetal sonographic information to select diabetic women for
intensification of management.
These findings raised several issues for us. Some built-in
sonographic reporting systems do not routinely indicate a
numerical AC percentile, but the estimated fetal weight
(EFW) percentile is universally reported. Does the EFW
in the early third trimester also predict LGA birth weight?
There are various reference standards for fetal biometry and
for birth weight as functions of gestational age. Are predic-
tion characteristics similar with different reference stan-
dards? Finally, does timing of the ultrasound examination
within the early third trimester interval affect the relation-
ship between AC and subsequent birth weight? The answers
to these questions are not available in the literature to date.
The objective of this study is to examine the test
characteristics of early third trimester AC and EFW
as predictors of LGA birth weight using different
reference standards.
2. Materials and methods
From mid-1993 to mid-1995, patients at a university-
based specialty clinic for diabetic pregnancy routinely
received fetal sonography between 28 0/7 weeks and 31
* Corresponding author. Department of Obstetrics and Gynecology,
Division of Maternal± Fetal Medicine, St. Louis University, 6420 Clayton
Road, St. Louis, MO 63117, USA. Tel.: +1-314-768-8873; fax: +1-314-
768-8776.
0899-7071/00/$ ± see front matter D 2000 Elsevier Science Inc. All rights reserved.
PII: S0 8 9 9 - 7 0 7 1 ( 0 0 ) 0 0 1 53 - 4
Journal of Clinical Imaging 24 (2000) 1± 7
6/7 weeks. The staff caring for these patients was committed
to tight glucose control. All patients were instructed to
check capillary glucose values at least four times per day.
Target glucose levels were fasting values less than 90 mg/dl
and 1-h postprandial values less than 140 mg/dl. The staff
attempted at least weekly contact with all patients regarding
glucose values and insulin adjustments. Gestational diabetes
was diagnosed according to the National Diabetes Data
Group criterion, except women with only one abnormal
value on 3-h glucose tolerance testing were also included
since they have also been shown to experience a high
frequency of excessive fetal growth [4,5].
At each scan, registered sonographers obtained fetal
biometry and a physician reviewed the images. Demo-
graphic and pregnancy outcome data were entered into a
computerized database designed specifically for the diabetes
program. Those with multiple gestations were excluded
from the study. AC estimates were obtained by summing
the anterior±posterior and the transverse axial diameter at
the level of the portal-umbilical venous complex and multi-
plying the sum by 1.57. AC percentiles were derived using a
reference standard published by Hadlock et al. [6] and also
using a reference standard reported by Bochner et al. [2].
The latter standard is based on a Los Angeles population
and was used in the studies of Bochner et al. [2] and
Buchanan et al. [3]. EFW percentiles were derived from a
standard published by Hadlock et al. [7], which utilizes an
EFW formula calculated from the head circumference, AC,
and femur length.
We determined the birth weight percentiles from two
different newborn standards: Brenner et al.'s [8] widely
utilized standard based on births in the Cleveland area and
that of Williams et al. [9] based on births in the state of
California. In studies of Bochner et al. [2] and Buchanan et
al. [3], the newborn weight standard of Williams et al. was
used to define LGA birth weight.
To evaluate the appropriateness for our population of the
AC percentile cutoff used by Buchanan et al. [3], we
constructed a receiver operating characteristic (ROC) curve
for AC percentile as a predictor of LGA birth weight. We
also constructed a ROC curve for EFW percentile predicting
LGA birth weight and selected a favorable cutoff value. We
then calculated sensitivity, specificity, positive predictive
value (PPV), and negative predictive value (NPV) for high
AC and EFW as predictors of LGA birth weight.
The stability of the relationship between the early third
trimester fetal AC and subsequent birth weight was assessed
by calculating the difference between birth weight and AC,
with both values adjusted for gestational age and expressed
as multiples of the median (momBWTÿmomAC). This
difference was then grouped according to the week (between
28 and 31 weeks, inclusive) that the sonogram had been
performed. The median values of (momBWTÿmomAC)
were compared among the four 7-day intervals. Multiples
of the median were used for gestational age adjustment
because both Brenner's and Williams' newborn weight
standards are tabular and non-parametric. After assuring a
normal distribution of momBWT, the linear regression of
momBWT on momAC was conducted and the residuals were
analyzed. The Cook±Wesiberg test [10] of heteroscedasti-
city (non-constant variance) and linear regression of the
residuals on gestational age at sonography were performed.
Fisher's exact test was used for comparison of propor-
tions and the Kruskall±Wallis test for comparison of med-
ians. The test of Cuzick was used for non-parametric test of
trend [11]. A p-value of <0.05 was considered as statisti-
cally significant. Stata (Stata, College Station, TX) was used
for statistical analysis.
3. Results
Ninety-two patients had ultrasound examinations be-
tween 28 and 32 weeks. Five patients with twins and three
patients without delivery outcome data were excluded leav-
ing 84 patients for analysis. The characteristics of these
patients are shown in Table 1. Six of the patients with
gestational diabetes had one abnormal value on 3-h glucose
tolerance testing; two of these required insulin therapy.
There are significantly more infants identified LGA by
the Brenner standard than by the Williams standard ( p =
0.028). All infants with LGA birth weights by the California
standard were also LGA by the Brenner standard. Twelve
infants that were LGA by Brenner's standard were not LGA
by the California standard. Among these 12, only one had a
birth weight above 4000 g (she weighed 4140 g). The
remaining 10 infants in the study with weights at or above
Table 1
Demographic characteristics of the study group
Age 29.31 � 6.83
Gravidity 3.00 � 1.79
Parity 1.06 � 1.23
Race (n)
African± American 40
White 40
Other 4
Diabetes (n)
Preexisting 42
Gestational, diet 18
Gestational, insulin 24
GA at ultrasound 30.26 � 1.09
GA at delivery 37.21 � 2.11
Birth weight 3252 � 712
LGA (n; %) (Brenner)
Preexisting 19 (45.2%)
Gestational 13 (31.0%)
All 32 (38.1%)
LGA (n; %) (Williams)
Preexisting 11 (26.2%)
Gestational 7 (16.7%)
All 18 (21.4%)
Values are expressed as mean � standard deviation unless otherwise
stated. Large for gestational age (LGA) birth weight is determined by two
reference standards, those of Brenner and Williams (see text).
W.L. Holcomb Jr. et al. / Journal of Clinical Imaging 24 (2000) 1±72
Fig. 1. An ROC curve for percentile abdominal circumference (Hadlock) to predict LGA birth weight (Williams). The asterisk indicates the 75th percentile
cutoff for abdominal circumference.
Fig. 2. An ROC curve for percentile abdominal circumference (Hadlock) to predict LGA birth weight (Brenner). The asterisk indicates the 75th percentile
cutoff for abdominal circumference.
W.L. Holcomb Jr. et al. / Journal of Clinical Imaging 24 (2000) 1±7 3
4000 g were LGA by both standards. In short, the California
standard sets higher weight thresholds for the 90th percen-
tile and identifies the largest of the large newborns as LGA.
The ROC curve for AC percentile (Hadlock) predicting
LGA birth weight (Williams) is in Fig. 1. The point
representing an AC cutoff at the 75th percentile is near
the point of maximal test efficiency, but favors high sensi-
tivity over specificity, as is appropriate for a test used to
select out a low risk group. With the Brenner standard for
LGA birth weight, area under the ROC curve is consider-
ably reduced (0.7124 vs. 0.8476; see Fig. 2). The ROC
curve for EFW percentile (Hadlock), in Fig. 3, demonstrates
a sharp decrement in sensitivity between the percentile
cutoff values of 70 and 75, and indicates the 70th percentile
as a more favorable cutoff for EFW.
The proportions of patients with fetuses above the 75th
percentile for AC are 0.429 for AC (Hadlock) and 0.381 for
AC (Bochner); the proportion above the 70th percentile for
EFW is 0.333. Test characteristics for these parameters are
in Table 2. For all AC and EFW reference standards, the
NPV (for predicting non-LGA birth weight) is significantly
higher with Williams' birth weight standard than with
Brenner's. Sensitivity is also higher when Williams' stan-
dard is used as opposed to Brenner's. The NPV is higher
than the PPV for all sonographic parameters, and this
difference is statistically significant with the Williams birth
weight standard. Early third trimester sonography is, thus,
best suited for ruling out subsequent delivery of the largest
of the large birth weight infants.
The relationship between momBWT and momAC, as a
function of the gestational age at ultrasound scan, is dis-
played in Fig. 4. Comparison of median values for
Fig. 3. An ROC curve for percentile estimated fetal weight (Hadlock) to predict LGA birth weight (Williams). The asterisk indicates the 70th percentile cutoff
for estimated fetal weight.
Table 2
Test characteristics for abdominal circumference (AC) and estimated fetal
weight (EFW) as predictors of LGA birth weight
LGA
(Brenner)
LGA
(Williams)
Sensitivity AC (Hadlock) 0.7001 0.9441
AC (Bochner) 0.633 0.889
EFW (Hadlock) 0.5312 0.8892
Specificity AC (Hadlock) 0.722 0.712
AC (Bochner) 0.759 0.758
EFW (Hadlock) 0.788 0.818
PPV AC (Hadlock) 0.600 0.4723
AC (Bochner) 0.594 0.5004
EFW (Hadlock) 0.607 0.5715
NPV AC (Hadlock) 0.8136 0.9793,6
AC (Bochner) 0.7887 0.9624,7
EFW (Hadlock) 0.7328 0.9645,8
Statistically significant comparisons are as follows: 1, p = 0.036; 2, p =
0.013; 3, 4, 5, p < 0.001; 4, 5, 6, p < 0.002. All other comparisons yield
statistically insignificant differences.
W.L. Holcomb Jr. et al. / Journal of Clinical Imaging 24 (2000) 1±74
(momBWTÿmomAC) among the four 7-day gestational
age intervals revealed no significant differences (c2 =
1.27; p = 0.736). In addition, a non-parametric test of trend
was negative (z = ÿ0.67; p = 0.51).
Examination of the scatter plot of momBWT on momAC
(not shown) reveals a clear linear relationship. Using the
method of Hadi and Simonoff [12], two outliers are identi-
fied with momBWT much less than expected for momAC.
Both of these individuals had hypertensive complications in
the third trimester that could explain a deceleration in fetal
growth. Omitting these two outliers, the linear relationship
between momBWT, and momAC is:
momBWT � 1:910�momAC� ÿ 0:890 �R2 � 0:472�:The variance of this relationship, reflecting random error,
changes as a function of gestational age at sonography
(Cook±Weisberg p = 0.002) with larger residuals at earlier
gestational ages (coefficient ÿ0.0263; p = 0.002). As
otherwise stated, there is no systematic trend in the
relationship between AC and subsequent birth weight,
but there is higher correlation when sonography is per-
formed at gestational ages later in the 28- to 32-week
interval. Wider scatter at earlier gestational ages is ob-
servable in Fig. 4.
4. Conclusions
Theoretical support for the use of fetal AC, as a
predictor of LGA growth in diabetic pregnancy, is well
summarized by Kehl et al. and others [13,14]. At birth,
LGA infants of diabetic mothers have 17% increased lean
body mass compared with the non-LGA infants, but the
increase is fat mass is a remarkable 99%. Third trimester
sonographic growth rates for AC, abdominal fat thick-
ness, thigh fat thickness, and liver length are significantly
greater for LGA compared with non-LGA fetuses; head
and femur growth rates are no different [14]. Others have
studied the sonographic evaluation of excessive fetal
growth in diabetic pregnancy, but no previous study has
focused on comparison of the AC and EFW early in the
third trimester when timely interventions may modulate
subsequent growth. Also, no previous study of this topic
has considered the effect of using other commonly
employed reference standards. We found that early third
trimester sonography yielded significantly better negative
than positive predictions for subsequent LGA birth
weight. Our results are comparable to those of Bochner
et al. [2] who found a sensitivity of 0.878, specificity of
0.825, PPV of 0.563, and NPV of 0.964 when a 90th
percentile cutoff AC was used between 30 and 33 weeks
in a group with mild gestational diabetes. Our values
were 0.889, 0.758, 0.500, and 0.962, respectively. Boch-
ner et al. evaluated only women with diet-controlled
gestational diabetes at a later gestational age interval,
and used a higher AC percentile cutoff value.
An earlier study by Tamura et al. [15] assessed the test
characteristics for fetal AC and estimated weight as
predictors of LGA birth weight in a diabetic population.
They found similar performance of the AC compared with
the EFW, as we did in our study. Tamura et al. [15] used
the Brenner birth weight standard and scans were per-
formed substantially closer to delivery at a mean gesta-
tional age of about 36 weeks. They used a 90th percentile
cutoff values for both AC and EFW. Sensitivity, specifi-
city, PPV, and NPV were 0.78, 0.81, 0.78, and 0.81,
respectively, for AC, and 0.78, 0.78, 0.74, and 0.81,
respectively, for EFW. The higher PPV in their study
Fig. 4. The difference between birth weight and sonographic AC, each expressed as multiples of the median (MOM), and plotted against gestational age at the
time of sonography in weeks. Medians are indicated by plus symbols.
W.L. Holcomb Jr. et al. / Journal of Clinical Imaging 24 (2000) 1±7 5
may be related to a later gestational age at sonography, a
higher percentile cutoff value, and a higher proportion of
LGA newborns (46% in their population compared with
38% in ours).
Another study relevant to ours is that by Johnstone et al.
[16] who performed sonography on 137 diabetic women
between 27 and 29 weeks gestation. Twenty-nine percent of
these women delivered macrosomic infants by the authors'
definition (greater than the 95th birth weight percentile by a
British standard). The test characteristics for AC were
disappointing with sensitivity, specificity, PPV, and NPV
of 0.28, 0.91, 0.55, 0.77, respectively. The percentile cutoff
value for AC was not stated by the authors and may have
been unusually high since only 15% of these diabetic
women had a high fetal AC.
We focused on the ability of a single early third trimester
sonogram to predict LGA growth because there is the
potential to modulate diabetes management and fetal sur-
veillance based on this information alone. Two other studies
are related to ours, but not directly comparable, since they
incorporated information from serial sonography and calcu-
lated growth rate to predict LGA birth weight. Rossavik et
al. [17] mathematically modeled fetal growth using sono-
graphic data throughout pregnancy to project birth weight.
In a preliminary study with 55 diabetic women, they found a
sensitivity of 1.00 and specificity of 0.98 for the detection of
LGA birth weight (greater than 90th percentile using the
Brenner standard). Landon et al. [18] employed a simpler
method of calculating the change in AC between serial scan
beyond 32 weeks. They found that a cutoff value of 1.2 cm/
week yielded a sensitivity of 0.84 and specificity of 0.85 for
detection of LGA birth weight (greater than 90th percentile
by Brenner's standard).
Both standards for the AC percentile (Hadlock's and
Bochner's) performed similarly in our population. The
pattern of test characteristics for early third trimester AC
would favor its use in situations where an intervention is
confined to the high-risk group and avoidance of false
negative predictions is particularly important. An AC cutoff
value at or near the 75th percentile seems optimal when high
sensitivity is desired. Test characteristics for the EFW were
quite similar to those of the AC in our population after
appropriate choice of a percentile cutoff. It cannot be
assumed that the optimal percentile cutoff is the same for
EFW as for AC. We found the 70th percentile to be a better
cutoff value for the EFW.
The reference standard for birth weight had a pronounced
effect on test characteristics of the AC and the EFW. The
most appropriate standard to use depends, in part, on the
racial and ethnic mix of the population cared for. It may also
depend on the goals of the clinician. If the object, for
instance, is to avoid the delivery of the baby greater than
4250 g, then a higher threshold standard, such as Williams'
California birth weight tables, may be the most useful.
Clearly, one could achieve a similar effect by using a
higher percentile cutoff with the Brenner standard. Since
all birth weight standards suffer some weaknesses in
construction, and since they differ significantly, our
results highlight some arbitrariness in using LGA birth
weight as a clinical outcome variable. The reader must be
sensitive to the weight standards employed, as well as
population differences, when comparing results from
different centers.
In this study, the association between AC and subsequent
birth weight was stable across the 28- to 32-week interval,
except that increased random error (i.e., poorer correlation)
was evident with earlier scans. Essentially, there was more
noise in the relationship between AC and subsequent birth
weight with scans close to 28 weeks than with scans close to
32 weeks. Most likely, the timing of ultrasound examination
within this interval is not critical for predicting LGA birth
weight. However, improved correlation at later gestational
ages should be associated with better predictions. On the
other hand, information that are available later in gestation
leaves less time and opportunity for the therapeutic effect
from an intervention.
This study has limitations. The study group is hetero-
geneous with both preexisting and gestational diabetic
women, and there are not sufficient patients to allow for
subgroup analysis. Both preexisting and gestational diabetic
women in this study had high frequencies of LGA infants
and, presumably, the basis for excessive fetal growth was
similar. Nonetheless, a larger study examining test charac-
teristics separately in preexisting and gestational diabetic
women would be of interest. Another limitation is the
potential effect of intensive maternal therapy (diet, insulin,
delivery timing) on the natural history of fetal growth. It is
possible that relationship between early third trimester
biometry and subsequent large birth weight would be
different in less intensively managed patients. If any-
thing, treatment would be expected to blunt the PPV and
the specificity.
The AC measurement is well standardized, familiar, and
rapidly obtainable. A large AC is not specific for diabetic
fetopathy since many other genetic and environmental
factors affect fetal growth. A reliable and reproducible
parameter more specific for abnormal growth in the fetus
of a diabetic mother would be desirable. Newer techniques,
such as three-dimensional sonography, may be explored for
this purpose. At present, the AC is a sensitive, and poten-
tially useful, predictor of LGA (or non-LGA) birth weight in
diabetic pregnancies. This information may affect decisions
regarding choice of therapy early in the third trimester or
subsequent timing of delivery. The AC percentile should
be reported, numerically and/or graphically, when the
diabetic woman has third trimester fetal sonography. In
the non-diabetic woman, an unexpectedly large fetal AC
could prompt diabetes screening, if it has not been done
recently. Results from this study may help the clinician
define the risk of LGA birth weight based on early third
trimester sonography, as well as assist investigators in the
design of future studies.
W.L. Holcomb Jr. et al. / Journal of Clinical Imaging 24 (2000) 1±76
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