Estimation of Fetal Weight
IMPORTANCE OF ANTENATAL FETAL WEIGHT ESTIMATION
Both low birth weight and excessive fetal weight at delivery are associated with an increased risk of newborn complications during labor and the puerperium. The perinatal complications associated with low birth weight are attributable to preterm delivery, intrauterine growth restriction (IUGR), or both. For excessively large fetuses, the potential complications associated with delivery include shoulder dystocia, brachial plexus injuries, bony injuries, and intrapartum asphyxia. The maternal risks associated with the delivery of an excessively large fetus include birth canal and pelvic floor injuries and postpartum hemorrhage (see Table 1). The occurrence of cephalopelvic disproportion is more prevalent with increasing fetal size and contributes to both an increased rate of operative vaginal delivery and cesarean delivery for macrosomic fetuses compared with fetuses of normal weight. Depending on many factors, the optimal range for birthweight is thought to be 3000-4000 grams. Limiting the potential complications associated with the birth of both small and excessively large fetuses requires that accurate estimation of fetal weight occur in advance of delivery. A review of the methods that can be used for the accurate estimation of fetal weight is the focus of this article. Table 1. Newborn and Maternal Complications Associated with Birth Weight of Greater Than 4000 Grams*
Relative and attributable risks are for fetuses weighing more than 4000 grams at delivery compared to controls weighing less than 4000 grams. The P values associated with each relative risk are less than .001 in all cases, except for birth canal/perineal lacerations, for which the P value is less than .05.
STANDARD FETAL GROWTH CURVES Mean birth weight has been described as a function of gestational age. Several studies subdivide such results into those that apply to women of different races, male versus female fetuses, and primiparous versus multiparous gravidas. Standard fetal growth curves are useful for estimating the range of expected fetal weight at any particular gestational age. However, in order for the growth curves to be useful, all such tables presuppose that the gestational age of the fetus is established properly. Without adequate gestational dating, the standard fetal growth curves cannot be interpreted successfully. The principal limitations of standard fetal growth curves that are derived from population-based studies are as follows:
In general, these growth curves can be expected to apply to large populations of pregnant women who have well-dated pregnancies, but the limits of their predictive accuracy make them less than ideal tools for estimating fetal weight for individual patients. The range of birth weights at any particular gestational age spans a wide array of values, with 95% confidence intervals of more than 1600 grams (3 lb 8 oz) at term. In addition, fetal growth curves are the most inaccurate at the extremes of fetal weight deviation (ie, women carrying fetuses that are either growth restricted or macrosomic).
Deviations in fetal weight The diagnosis of deviations in fetal weight presupposes that the reference range for fetal weight at each gestational age is established. Before a reference range for human birth weight can be established properly, the gestational age at which human births occur must first be defined. This issue is of primary importance because fetal weight increases rapidly once the second trimester of pregnancy is reached. Variations in fetal weight The reference range of gestational age for spontaneous delivery in human pregnancies is well accepted as 280 days (40 wk) from the first day of the last normal menstrual period (ie, 266 d after fertilization). Because fewer than 3% of births occur precisely at 40 weeks gestation and the SD for term pregnancies is 1 week, the normal range of term birth weight is typically referenced to the mean birth weight for pregnancies delivered at 38-42 weeks' gestation (ie, mean term gestational age 2 SD). During this 4-week period, the average fetus gains approximately 1.4 g/d, with a difference of 0.3 g/d depending on the sex of the fetus. The average birth weight during this period varies significantly, depending on maternal race and ambient elevation. In the United States, a recent study of 56,728 singleton births from 1975-1992 showed that the mean birth weight from 38-42 completed weeks' gestation was 3060-3520 grams. In Great Britain, a similar study of 41,718 newborns showed the average to be 3201-3753 grams, and, in Singapore, a study of 11,026 neonates showed the average to be 2880-3290 grams. Often, because of the frequent nonstandard distribution of birth weight data in population studies, the median birth weight at each gestational age is reported. In Canada, for live births recorded from 1986-1988, the median term birth weight at 38-42 weeks' gestation for 557,359 male singletons was 3290-3800 grams; in the United States, for 38,818 live male births from 1984-1991, the median birth weight was 3020-3572 grams; and, in Sweden, for 32,087 live male births from 1956-1957, the median birth weight was 3300-3790 grams. Birth weights of women from different racial groups When median term birth weights of newborns from women of different racial groups are compared, significant differences are apparent. In a study that compared the median birth weight for 17,347 newborns of white and black women of low socioeconomic status in the United States from 1959-1966, the median birth weight at 40 weeks' gestation for live-born white male singletons was 3350 grams compared to 3210 grams for black male neonates (difference of 140 g). A similar difference in median birth weight was also evident among female offspring, with white female newborns at 40 weeks' gestation having a median birth weight of 3210 grams and black females having a median birth weight of 3100 grams (difference of 110 g). Best method to determine the reference range for term birth weight Perhaps the best method of defining the reference range for term birth weight is to examine fetal weights at the two extremes of the reference range birth weight (ie, 5th-10th percentile at the lower end and 90th-95th percentile at the uppermost extent). In the United States, a recent comprehensive study of 3,134,879 live births from 1991 showed that from 38-42 weeks' gestation, the fifth percentile of birth weight was 2543-2764 grams, the 10th percentile was 2714-2935 grams, the 90th percentile was 3867-4098 grams, and the 95th percentile was 4027-4213 grams. Several other studies during the latter half of the 20th century also demonstrated findings consistent with these results, showing that the 10th percentile of birth weight over this range of gestational ages was 2430-3152 grams, while the 90th percentile was 3600-4360 grams. The most consistent feature of all these studies is the wide range of birth weights encompassed by the 5th-95th percentile ranks; this range is equivalent to defining the empirical 90% confidence interval for these results, and, in the case of the most recent large-scale American study from 1991, this range is more than 1400 grams (3 lb 1 oz). Using an 80% confidence interval as an alternate measure, this range narrows to approximately 1100 grams (2 lb 7 oz). Using these findings, the reference range birth weight might be defined as 3450 700 grams (7 lb 9 oz 1 lb 9 oz). The specific birth weights associated with these different percentile ranks are shown for 12 studies in Table 2. Table 2. Term Birth Weight Percentile Rank Results for Singleton Live Births at 40 Weeks' Gestation
Perhaps the best method for establishing the reference range of term birth weight is to define the point at which newborns begin to vary significantly from the mean with respect to their overall prevalence of perinatal complications and perinatal death. Even within neonatal groupings that are well matched for gestational age, poor perinatal outcomes occur most frequently in fetuses who are born with weights at the extreme ends of the birth weight range (ie, <10th percentile and >90th percentile ranks for each gestational age). Using this approach to establish a criterion, the reference range for term birth weight can be defined as approximately 3250 grams at the lower limit to approximately 4250 grams as an upper limit, or 3750 500 grams (8 lb 4 oz 1 lb 2 oz). Recently, a British cohort study of 3599 neonates of reference range weight during 1946 suggested that increasing term birth weight was correlated positively with cognitive ability later in life. This result persisted even after neonates of low birth weight weighing less than 2500 grams were eliminated from analysis, such that all of the remaining neonates weighed 2500-5000 grams.
DEFINITIONS OF DEVIATIONS IN
FETAL GROWTH Fetal
weight categories
Fetal weight may be characterized as falling into 1 of 3 categories, as
follows:
Until a fetus is delivered, only those methods that can evaluate fetal
size in utero are of any value in assessing into which of these 3
categories the fetus will fall. Depending on the precise nature of the
patient population used for establishing the birth weight percentile
ranks, these standards may be misleading if applied to other sets of
gravidas. For instance, if standard birth weight curves for white women
are applied inappropriately to black gravidas, a higher proportion of
black women would appear to have birth weights below the 10th percentile
compared to a matched group of white women.
Complications
The term low birth weight has been used to refer to different fetal
weight ranges by different authors during different eras. Whereas
substantially excessive neonatal morbidity and mortality was once
associated with newborns weighing 2000-2500 grams, adverse neonatal
outcomes attributable to low birth weight have been impacted successfully
by the more modern neonatal care that has become available during the last
quarter century. One classification scheme for the modern era that is
based on fetal weight alone divides underweight newborns into 3 distinct
categories. Using this schema, newborns can be categorized according to
their risk for neonatal complications, as follows:
Subclassifications within these 3 weight groups are possible, according
to the overall incidence of neonatal morbidity and mortality within each
group and the gestational age within these different categories
(especially within the very low birth weight and extremely low birth
weight groups). Successfully classifying fetuses within each of these 3
broad categories with improved accuracy in advance of delivery can
potentially aid in the prediction and possible avoidance of neonatal
complications for underweight newborns.
Fetal macrosomia
The term fetal macrosomia denotes a fetal size that is too large.
Ideally, this designation should be referenced to the mean of fetal and
maternal dimensions within a given population, but, rather arbitrarily, it
has been defined previously as a birth weight greater than 4000 grams,
greater than 4100 grams, greater than 4500 grams, or greater than 4536
grams for all gravidas, depending on author and era. When fetal macrosomia
is considered a birth weight greater than 4000 grams (8 lb 13 oz), it
affects 2-15% of all gravidas, depending on the racial, ethnic, and
socioeconomic composition of the population under study.
Gestational age at delivery
Gestational age at delivery is the most significant single determinant
of newborn weight. Preterm delivery constitutes the single largest cause
for low birth weight in newborns in the United States. Other potential
causes for low birth weight can be attributed collectively to IUGR
(previously termed intrauterine growth retardation). Causes include
intrauterine infections, congenital syndromes, genetic abnormalities, and
chronic uteroplacental insufficiency.
Maternal race
Another major determinant of fetal weight is maternal race. Black and
Asian women have smaller fetuses compared to white women when
appropriately matched for gestational age. Not surprisingly, white
gravidas show a significantly higher prevalence of fetal macrosomia
compared with black and Asian gravidas, and nonwhite gravidas have a
significantly higher prevalence of small-for-gestational-age newborns
compared to white women.
Other maternal and pregnancy-specific determinants
After gestational age and maternal race, 6 other major maternal and
pregnancy-specific determinants of birth weight are relevant (see Table 3),
which include the following:
Taken together, these measurable demographic factors can help explain
more than one third of the variance in term birth weight. By comparison,
paternal factors are only minimally important in determining fetal weight.
Paternal height is the only routinely measured paternal demographic
variable that has significant influence on fetal weight, but it accounts
independently for less than 2% of the variance. Fetal sex is associated
significantly with birth weight; female fetuses are known to be smaller
than male fetuses when matched for gestational age. Although fetal sex is
a significant predictor of fetal weight, it accounts independently for
less than 2% of the variance.
Diabetes mellitus
Uncontrolled maternal diabetes mellitus is a condition commonly
associated with excessive fetal weight. Glucose is the primary substrate
used by fetuses for growth. When maternal glucose levels are excessive,
abnormally high rates of fetal growth can be expected. Even in women
without frank diabetes mellitus, elevated glucose screening test values in
pregnancy predispose to increasing birth weight. Because of the stringent
glucose criteria now used to monitor and treat women with frank diabetes
during pregnancy, the group of women now most at risk for fetal macrosomia
are those who are unmonitored and untreated who have abnormal 1-hour
glucose screening test results during pregnancy and subsequently have
normal 3-hour glucose tolerance tests with a single abnormal value
indicative of only mild glucose intolerance.
Other maternal illnesses and complications of pregnancy
Several maternal illnesses and complications of pregnancy are
associated with decreased birth weight. The most common associated
illnesses are chronic maternal hypertension and preeclampsia. Some
intrauterine infections (eg, viral, parasitic, bacterial) are associated
with small-for-gestational-age fetuses. In addition, several major
environmental factors can have an adverse effect on fetal size, with the 2
chief among these being high altitude and cigarette smoking.
All the currently available methods for assessing fetal weight in utero
are subject to significant predictive errors. These errors are the most
clinically relevant at the 2 extremes of birth weight (eg, those <2500
g who are also more likely the products of premature deliveries and those
>4000 g who are at risk for the complications associated with fetal
macrosomia).
Tactile assessment of fetal size: The oldest technique for assessing
fetal weight involves the manual assessment of fetal size by the
obstetrician. Worldwide, this method is used extensively because it is
both convenient and virtually costless; however, it has long been known as
a subjective method that is associated with significant predictive errors.
Clinical risk factor assessment: Quantitative assessment of clinical
risk factors has previously been shown to be valuable in predicting
deviations in fetal weight. In the case of fetal macrosomia, the odds
ratios for the presence of 12 clinical risk factors are shown in Table 4.
Table 4. Clinical Risk Factors for Fetal Weight Greater
Than 4000 Grams*
Maternal self-estimation: A third method for estimating fetal weight is
via maternal self-estimation. Perhaps surprisingly, these maternal
self-estimations of fetal weight in multiparous women show comparable
accuracy in some studies to clinical palpation for predicting abnormally
large fetuses (see Table 5).
The sonographic prediction algorithms used to make fetal weight
estimations in these various studies were those of Shepard, Hadlock,
Sabbagha, and Warsof, in addition to the best of 8 algorithms based on
various combinations of abdominal circumference (AC), femur length (FL),
biparietal diameter (BPD), and head circumference (HC), both singly and in
combination.
Obstetric ultrasonography: The most modern method for assessing fetal
weight involves the use of fetal measurements obtained via obstetric
ultrasonography. The advantage of this technique is that it relies on
linear and/or planar measurements of in utero fetal dimensions that are
definable objectively and should be reproducible. Early expectations that
this method might provide an objective standard for identifying fetuses of
abnormal size for gestational age were recently undermined by prospective
studies that showed ultrasonographic estimates of fetal weight to be no
better than clinical palpation for predicting fetal weight.
Taken together, these findings suggest that the prediction of fetal
weight is not an exact science and requires additional refinement.
ACCURACY OF FETAL WEIGHT
PREDICTION USING DIFFERENT METHODS Recently, several investigations showed that the accuracy of clinical
palpation for estimating fetal weight was 278-599 grams and 7.5-19.8%,
depending on fetal weight and gestational age. The technique is best for
estimating fetal weight in the reference range birth weight of 2500-4000
grams. Several studies show that the accuracy of clinical palpation for
estimating fetal weight below 2500 grams deteriorates markedly, with a
mean absolute percentage error of 13.7-19.8%. Only 40-49% of birth
weights below the 2500-gram threshold are estimated properly by clinical
palpation to within 10% of actual birth weight. If less than 1800 grams,
the accuracy of such clinical estimates is reduced even further, with more
than half of these predictions off by more than 450 grams (25%).
One recent study shows that the sensitivity of clinical palpation for
identifying birth weight of less than 2500 grams is only 17%, with an
associated positive predictive value of 37%. At the upper limit of term
fetal weights, 2 recent studies show that the positive predictive value of
clinical palpation for predicting birth weight of greater than 4000 grams
is 60-63%, with an associated sensitivity of 34-54%.
Furthermore, 2 studies previously suggested that the accuracy of this
technique does not depend on the level of training of the operator,
whereas another recent study suggests that resident physicians in
obstetrics and gynecology are systematically better than medical students
at estimating term birth weights using this technique. Using this method,
the mean absolute percentage error in birth weight prediction for term
fetuses greater than 37 weeks' gestation is 7.2-10.6% (see Table 5).
For a fetus predicted to weigh more than 4000 grams, the average error in
birthweight estimation routinely exceeds 300-400 grams. In one study, more
than 6% of fetal weights were wrongly assessed by more than 1370 grams (3
lb).
Accuracy of obstetric ultrasonography for estimating fetal weight
Obstetric sonographic assessment for the purpose of obtaining fetal
biometric measurements to predict fetal weight has been integrated into
the mainstream of obstetric practice during the past quarter century. From
its inception, this method has been presumed to be more accurate than
clinical methods for estimating fetal weight. The reasons for this
assumption vary, but the fundamental underlying presumption is that the
sonographic measurements of multiple linear and planar dimensions of the
fetus provide sufficient parametric information to allow for accurate
algorithmic reconstruction of the 3-dimensional fetal volume of varying
tissue density. Consistent with these beliefs, much effort has generated
best-fit fetal biometric algorithms that can help make birth weight
predictions based on obstetric ultrasonographic measurements. As such, the
ultrasonographic technique represents the newest and most technologically
sophisticated method of obtaining birth weight estimations.
Modern algorithms that incorporate standardly defined fetal
measurements (eg, some combination of AC, FL, and either BPD or HC) are
generally comparable in terms of overall accuracy in predicting birth
weight. The most commonly used fetal biometric algorithms are shown in
Table 6. When other sonographic fetal measurements are used to estimate
fetal weight (eg, humeral soft tissue thickness, ratio of subcutaneous
tissue to FL, cheek-to-cheek diameter), these nonstandard measurements do
not significantly improve the ability of obstetric sonography to help
predict birth weight, except in special patient subgroups (eg, mothers
with diabetes).
In a recent study of 1034 patients, the mean absolute percentage error
associated with the calculation of estimated fetal weights based on fetal
measurements of BPD, AC, and FL (according to a widely used equation of
Hadlock) was 10.0-11.3%, depending on the gestational age of the fetus
(ie, after a crude stratification of fetal size). When the mean absolute
percentage error of the method is assessed for 3 different clinically
significant ranges of fetal weight (ie, <2500 g, 2500-4000 g, >4000
g), the mean absolute percentage error of the technique typically is
lowest (7.1-10.5%) for the mid range (2500-4000 g) and higher values of
fetal weight (>4000 g) and slightly greater for fetuses weighing less
than 2500 grams (8-11%).
When another commonly used measure of accuracy is used (the percentage
of fetuses with weight accurately estimated to within 10% of actual birth
weight), 56% were predicted accurately to within these limits for fetuses
weighing less than 2500 grams, 58% for fetuses weighing 2500-4000 grams,
and 62% for fetuses with actual birth weights greater than 4000 grams.
When the accuracy of the detection of clinically relevant deviations in
term birth weight is assessed using the sonographic technique (ie, ability
of the sonographic method to help accurately identify term fetuses
weighing <2500 g, >4000 g, and >4500 g), the positive predictive
value is 44-55%, with associated sensitivities of 58-71%. For preterm
fetuses delivered at less than 37 weeks' gestation, the one-way accuracy
of such sonographic fetal biometric classifications of clinically
significant birth weight deviations (ie, low birth weight) is better; the
positive predictive value of a sonographic estimate of fetal weight less
than 2500 grams is 87% for preterm fetuses, with an associated sensitivity
of 90%, and the positive predictive value for a sonographic estimate of
fetal weight less than 1500 grams is 86%, with an associated sensitivity
of 93%.
The overall results for the sensitivity, specificity, positive
predictive value, and negative predictive value of the sonographic
technique for predicting significant variations in fetal weight are shown
as a function of both fetal weight and gestational age in Table 7.
Results for 5 different studies that investigated the accuracy of the
technique for predicting fetal macrosomia of greater than 4000 grams at
term are shown in Table 8.
When a meta-analysis of these 5 studies incorporating 2367 term
pregnancies of greater than 37 completed weeks' gestation was performed,
the positive predictive value for detecting fetal weight greater than 4000
grams using the sonographic fetal biometric technique was 59% and the
associated sensitivity was 59%. The average predictive error in birth
weight estimates for fetuses of greater than 4000 grams using this method
was routinely greater than 300-400 grams.
The notion that multiple obstetric sonographic fetal biometric
evaluations might prove superior to a single examination for predicting
fetal weights has been examined. One recent study evaluated the advantage
of multiple ultrasonographic examinations compared with a single
examination for the purpose of estimating fetal weight. The accuracy of
birth weight percentile predictions was similar whether one or multiple
such examinations were performed during the third trimester. In this
study, which used the ultrasonic algorithm of Shepard, 38% of the fetuses
had their weight accurately estimated to within 10% after a single
ultrasonographic assessment of fetal dimensions and 42% had such
predictions correct to within 10% after multiple sonographic examinations
were performed. No statistically significant difference occurred in
accuracy between these 2 approaches.
The sensitivity, specificity, positive predictive value, and negative
predictive value for the prediction of both small-for-gestational-age and
large-for-gestational-age fetuses using these sonographically derived
estimated fetal weights, which are obtained from one or more sonographic
examinations, are shown in Table 9.
Table 9. Accuracy of Single Versus Multiple Sonographic Fetal Biometric
Examinations for Detecting Clinically Relevant Deviations in Fetal Weight*
Another question is the potential difference in the predictive accuracy
of fetal weight estimates made using fetal biometric measurements obtained
by professional sonographers in a controlled setting compared with
hospital-based resident physicians performing studies in a labor and
delivery unit. Although the interobserver variation in ultrasonic fetal
biometric measurements has been shown to be small, these differences may
still introduce unacceptable variability into the parameters employed for
fetal weight estimation by fetal biometric algorithms.
In a recent study designed to address this clinically important
question, the mean absolute percentage error associated with
ultrasonographic estimates of fetal weight by house staff physicians in a
labor and delivery suite (9.3%) was comparable to that reported by
professional ultrasonographers in a controlled setting. Thus, no
clinically important systematic bias is introduced into such results based
on differences in operator training or diagnostic setting.
Several technical limitations of the sonographic technique for
estimating fetal weight are well known. Among these are maternal obesity,
anterior placentation, and oligohydramnios.
Recently, several studies challenged the overall accuracy of
sonographic birth weight estimations. More than a dozen investigations
concluded that ultrasonography may be no more accurate for predicting
birth weight than clinical palpation or even maternal self-estimations of
fetal weight. Two of these studies also suggested that quantitative
assessment of maternal characteristics may be as accurate as obstetric
ultrasonography for the purpose of predicting the occurrence of fetal
macrosomia.
Maternal self-estimations of fetal weight
Recently, 3 studies examined the accuracy of patient self-estimations
of fetal weight by parous women. The mean absolute percentage errors for
these birth weight predictions was 8.7-9.5% for term fetuses, with mean
absolute birth weight errors of 305-350 grams. In a small study that
reported the sensitivity for macrosomia greater than 4000 grams, it was
56% (see Table 10). These results seem comparable to those reported for
both clinical palpation and obstetric ultrasonography.
Predicting fetal weight using an algorithm derived from maternal and
pregnancy-specific characteristics
Recently, a new, theoretically defensible equation that can predict
individual birth weights prospectively from maternal characteristics was
developed. To do this, the predictive efficacy of 59 scientifically
justifiable terms was evaluated simultaneously, obviating any confounding
covariation and determining which of the predictors could account for
variations in birth weight that others could not. Aside from maternal
race, only 6 maternal and pregnancy-specific variables were important in
the prediction of birth weight for otherwise normal gravidas. Only one
additional paternal factor was found to be independently predictive of
birth weight (ie, paternal height), but it accounts separately for less
than 2% of the variance. The first-order correlation of each of these
predictors of fetal weight is shown in Table 3.
Using these routinely recorded variables, an equation based on maternal
demographic and pregnancy-related characteristics alone was developed (see
Equation
1) to help predict birth weight based on the following:
These prospectively measurable variables can explain 36% of the
variance in term birth weight and can help predict birth weight accurately
to within 267 grams (7.6% of individual birth weights). In addition, 75%
of newborn weights can be estimated properly to within 10% of actual
birth weight using this technique.
These results are consistent with those reported previously using a
similar quantitative maternal characteristics approach.
Which of the methods for predicting fetal weight is the most
accurate
The accuracy of the different methods of predicting fetal weight
depends on the gestational age and range of birth weights under study.
Again, for this purpose, dividing fetuses into 3 birth weight categories
of less than 2500 grams, 2500-4000 grams, and greater than 4000 grams is
useful. The relative accuracy of clinical palpation versus obstetric
sonographic fetal biometry for these 3 birth weight ranges is shown in
Table 11. For the clinically significant birth weight ranges of less than
2500 grams and greater than 4000 grams, the accuracy of sonographic fetal
biometry appears to be superior to clinical palpation for predicting the
occurrence of low birth weight fetuses weighing less than 2500 grams,
whereas the 2 techniques appear to be comparable in predictive accuracy
for fetuses weighing 2500 grams or more.
Table 11. Accuracy of Clinical Palpation Versus Sonographic Fetal
Biometry for Predicting Actual Birth Weight of Less Than 2500 Grams,
2500-4000 Grams, and Greater Than 4000 Grams*
A recent study directly comparing the 4 different methods of fetal
weight prediction in 44 normal term pregnancies found no difference
between the accuracy of the clinical methods (eg, clinical palpation,
birth weight prediction equation, maternal self-estimation of fetal
weight) and ultrasonic fetal biometric techniques for predicting term
birth weight. Eight different ultrasonic fetal biometric algorithms were
assessed for this purpose. The mean birth weight for newborns in this
study was 3445 458 grams, with a birth weight range of 2485-4790 grams.
These results are summarized in Table 12.
No systematic advantage was found with the ultrasonic technique for
predicting term birth weight over the clinical methods.
Seven other recent studies directly compared the accuracy of clinical
palpation to ultrasonographic fetal biometry using the same gravidas (see Table 5),
and 3 compared clinical palpation to parous patients' self-estimates of
fetal weight after 37 completed weeks' gestation.
One study compared clinical palpation to both ultrasonographic fetal
biometry and parous patients' self-estimations of fetal weight. All of the
methods have significant predictive errors in birth weight estimations for
term fetuses that range from 290-560 grams, and no consistent or clear
superiority of ultrasonographic fetal biometry over the other techniques
of fetal weight estimation was found.
Table 12. Comparison of Results for Different Methods
of Predicting Term Birth Weight*
All currently available techniques for estimating fetal weight have
significant degrees of inaccuracy. Wikstrom et al demonstrated that by
combining clinical and ultrasonographic data about fetal size, an improved
accuracy in fetal weight estimations can be obtained. Based on this
finding, a reasonable strategy for arriving at estimated fetal weight is
to use multiple estimates based on different sources of clinical and
sonographic information. If such a strategy is accepted, then a practical
and semiquantitative schema for making an accurate antenatal diagnosis of
fetal weight in the clinical setting can be suggested, as follows:
Option for suppression of labor in women carrying undersized fetuses
In general, the case can be made to attempt labor suppression in women
carrying preterm fetuses weighing less than 2000-2500 grams. As stressed
previously, most low weight fetuses are associated with preterm
gestations. However, any recommendation in this circumstance regarding
tocolysis presupposes the following: (1) no immediate fetal or maternal
indications mitigate toward the timely delivery of the undersized fetus
and (2) the undersized fetus will continue to grow along an acceptable
growth curve if the gestation is allowed to continue. In many cases, both
of these assumptions are invalid. For instance, many women who deliver
preterm neonates are allowed to do so because of compelling fetal or
maternal medical conditions that warrant timely delivery (eg, intrauterine
infection, severe uteroplacental insufficiency, severe preeclampsia). If
fetal infection or IUGR is present, the preterm delivery of an underweight
fetus may be indicated.
The increased risk of perinatal complications associated with the
delivery of an underweight fetus in these circumstances may be outweighed
entirely by the increased risk of morbidity and mortality for both the
fetus and mother with allowing the pregnancy to continue. Additionally, in
some circumstances, the inadequate velocity of fetal growth might mandate
a decision for delivery. In such cases, the presumption is that
extrauterine growth and development in the neonatal nursery would be
superior to that achieved in utero. Clinical judgment under such
circumstances is of paramount importance in deciding when to effect
delivery and when to attempt labor suppression. More detailed
considerations for aiding in this decision are beyond the scope of this
article.
Option for labor induction in women carrying oversized fetuses
For fetuses delivered before 37 weeks' gestation, fetal macrosomia is a
rarity; more than 99% of macrosomic fetuses are the product of term
gestations. In general, nearly 95% of fetuses gain 12.7 2.8 g/d from
37-42 weeks' gestation, indicating that an average fetus gains an
additional 445 98 grams (1 lb 3 oz) during this period. If a patient is
thought to have a term fetus weighing more than 4000 grams and is willing
to undergo labor induction, effecting vaginal delivery in these gravidas
sooner, rather than awaiting the onset of spontaneous labor and a higher
average birth weight at delivery, is often reasonable.
In studies that have attempted to examine this question, labor
induction has not been demonstrated conclusively to decrease the fetal and
maternal risks of intrapartum complications, and the cesarean delivery
rate has been suggested to increase in several studies, whereas it has
been purported to be unchanged in others. The difficulty in interpreting
these results is that significant differences have been found among the
predicted and actual birth weights for patients included for investigation
and the power of the studies conducted to date has been insufficient to
conclusively demonstrate statistically significant differences in adverse
fetal outcomes among different study groups.
As with the case of preterm delivery of underweight fetuses, many
considerations, including the size of the maternal pelvis and the weight
of previously delivered fetuses, should be taken into consideration.
Clinical judgment in these circumstances is of paramount importance in
deciding whether or not labor induction is indicated in an attempt to
minimize excessive fetal weight at delivery.
Conclusions
Both low birth weight (<2500 g) and high birth weight (>4000 g)
are fetal conditions that are associated with increased risks of
peripartum morbidity and mortality. Although the absolute risk that
fetuses with birth weights of 2000-2500 grams and 4000-4500 grams will
have major peripartum complications is not overwhelming, the risk of such
complications increases substantially with both decreasing and increasing
birth weight relative to these lower and upper limits. Thus, birth weight
and gestational age are both important determinants of peripartum outcome.
From this standpoint, the optimal range of newborn weight generally is
thought to be 3000-4000 grams (6 lb 10 oz to 8 lb 13 oz). As always, the
problem is knowing the fetal weight with sufficient accuracy in advance of
delivery.
Many factors that impact directly upon birth weight are not modifiable.
These include maternal race, height, parity, paternal height, and fetal
sex. However, what can be influenced with potentially significant effects
upon birth weight are the following:
All of these factors can have significant impacts on fetal weight at
delivery. Whereas permitting the delivery of fetuses that weigh 2000-2499
grams typically is not associated with an overwhelming increase in
neonatal complications compared with normal-weight neonates, those fetuses
weighing less than 2000 grams at birth are at increased risk for perinatal
complications in a manner that is commensurate with their weight.
Similarly, whereas allowing a trial of a vaginal delivery for a fetus
estimated to weigh 4000-4499 grams may be reasonable in many
circumstances, many sources suggest that fetuses with estimated weights of
4500 grams or greater should be delivered by cesarean birth in order to
avoid the increased intrapartum risks associated with the vaginal delivery
of a macrosomic fetus. This is especially true when gestational diabetes
is involved and the fetal conformation may be altered to reflect a larger
shoulder girdle or head circumference ratio compared with the offspring of
mothers without diabetes.
In the case of macrosomic fetuses, attempts to predict birth weight
from fetal measurements obtained via ultrasonography have proven
unsuccessful from the standpoint of improving clinical outcomes. Many
studies conclude that ultrasonographic fetal biometric assessments are no
more predictive of fetal macrosomia than clinical assessments of fetal
size by simple external abdominal palpation (see Table 5 and Table
10). Both ultrasonography and manual assessment of fetal size have
sensitivities of less than 60% for the prediction of fetal macrosomia,
with false-positivity rates greater than 40%. Likewise, for small fetuses
less than 1800 grams, ultrasonic fetal weight estimates are often in error
by as much as 25%.
By using a birth weight prediction equation that is based on maternal
and pregnancy-specific characteristics alone, fetal weight at and near
term can be predicted with a high degree of accuracy (7.6%). This
approach appears to be at least as reliable for predicting fetal
macrosomia in healthy gravidas as both clinical palpation and
ultrasonographic fetal biometry, neither of which can be used with any
degree of certainty in advance of the date of delivery. Such a
quantitative assessment of maternal characteristics serves to objectively
quantify the majority of previously recognized clinical variables that
have long been employed in subjective clinical assessments and that are
thought to be predictive of fetal weight.
By contrast, clinical palpation is a subjective methodology that must
be employed at or near the date of delivery, and it is both patient- and
clinician-dependent for its success (ie, less accurate for obese than
nonobese gravidas, significant for interobserver variation in birth weight
predictions even among experienced clinicians).
The disadvantages of ultrasonographic fetal biometry are that the
method is both complicated and labor-intensive, potentially being limited
by suboptimal visualization of fetal structures. It also requires costly
sonographic equipment and specially trained personnel. Although such
expensive imaging equipment is widely available in the United States and
other industrialized countries, this is generally not the case in
developing nations, where medical resources are often scarce.
In the future, combining the different methods of fetal weight
prediction to improve their overall accuracy may be possible. Wikstrom et
al suggested that by combining the independent information about fetal
size obtained from the 3 different approaches (ie, clinical examination,
quantitative assessment of maternal characteristics, ultrasonographic
fetal biometry), the predictive value of fetal weight estimations can be
improved dramatically. In the case of excessive fetal size, combining
these methodologies may result in an 80% positive predictive value for the
identification of fetal macrosomia, with a sensitivity of 63% and
specificity of 95%.
Recently, a quantitative combination of maternal demographic
information (of the type incorporated in Equation 1)
with the independent information obtained by ultrasonic fetal biometry
(AC) has been demonstrated to improve birth weight prediction
substantially, with the area under the receiver operating characteristic
curve increasing to 0.92. The mean absolute percentage error in birth
weight predictions that can be attained using this new combinatorial
method is 5.4%.
With the advent of 3-dimensional fetal imaging, optimism that these new
technologies can provide even better fetal weight estimations may be
justified, but the advantages of estimating fetal weight using these newer
techniques have not yet been demonstrated. Using these new approaches,
further improvements in the accuracy of fetal weight prediction in the
future will permit prospective obstetric intervention to be undertaken
more confidently by practicing obstetricians, with the aim of minimizing
intrapartum and peripartum risks for both fetuses and mothers.
Caption: Picture 2. Estimation of fetal weight. Curve delineating the
trade-off between positive and negative predictive value using
Equation 1. Picture Type:
Graph REFERENCES:
MEDCEU Continuing Education Courses CEU for Nurses and Healthcare Professional
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