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. Author manuscript; available in PMC: 2020 Feb 22.
Published in final edited form as: Am J Obstet Gynecol. 2018 May 24;219(3):285.e1–285.e36. doi: 10.1016/j.ajog.2018.05.016

Fetal growth velocity: the NICHD fetal growth studies

Katherine L Grantz 1, Sungduk Kim 1, William A Grobman 1, Roger Newman 1, John Owen 1, Daniel Skupski 1, Jagteshwar Grewal 1, Edward K Chien 1, Deborah A Wing 1, Ronald J Wapner 1, Angela C Ranzini 1, Michael P Nageotte 1, Stefanie N Hinkle 1, Sarah Pugh 1, Hanyun Li 1, Karin Fuchs 1, Mary Hediger 1, Germaine M Buck Louis 1, Paul S Albert 1
PMCID: PMC7035912  NIHMSID: NIHMS993256  PMID: 29803819

Abstract

BACKGROUND:

Accurately identifying pregnancies with accelerated or diminished fetal growth is challenging and generally based on cross-sectional percentile estimates of fetal weight. Longitudinal growth velocity might improve identification of abnormally grown fetuses.

OBJECTIVE:

We sought to complement fetal size standards with fetal growth velocity, develop a model to compute fetal growth velocity percentiles for any given set of gestational week intervals, and determine association between fetal growth velocity and birthweight.

STUDY DESIGN:

This was a prospective cohort study with data collected at 12 US sites (2009 through 2013) from 1733 nonobese, low-risk pregnancies included in the singleton standard. Following a standardized sonogram at 10w0d–13w6d, each woman was randomized to 1 of 4 follow-up visit schedules with 5 additional study sonograms (targeted ranges: 16–22, 24–29, 30–33, 34–37, and 38–41 weeks). Study visits could occur ± 1 week from the targeted GA. Ultrasound biometric measurements included biparietal diameter, head circumference, abdominal circumference, and femur length, and estimated fetal weight was calculated. We used linear mixed models with cubic splines for the fixed effects and random effects to flexibly model ultrasound trajectories. We computed velocity percentiles in 2 ways: (1) difference between 2 consecutive weekly measurements (ie, weekly velocity), and (2) difference between any 2 ultrasounds at a clinically reasonable difference between 2 gestational ages (ie, velocity calculator). We compared correlation between fetal growth velocity percentiles and estimated fetal weight percentiles at 4-week intervals, with 32 (±1) weeks’ gestation for illustration. Growth velocity was computed as estimated fetal growth rate (g/wk) between ultrasound at that gestational age and from prior visit [ie, for 28–32 weeks’ gestational age: velocity = (estimated fetal weight 32–28)/(gestational age 32–28)]. We examined differences in birthweight by whether or not estimated fetal weight and estimated fetal weight velocity were <5th or ≥5th percentiles using χ2.

RESULTS:

Fetal growth velocity was nonmonotonic, with acceleration early in pregnancy, peaking at 13, 14, 15, and 16 weeks for biparietal diameter, head circumference, femur length, and abdominal circumference, respectively. Biparietal diameter, head circumference, and abdominal circumference had a second acceleration at 19–22, 19–21, and 27–31 weeks, respectively. Estimated fetal weight velocity peaked around 35 weeks. Fetal growth velocity varied slightly by race/ethnicity although comparisons reflected differences for parameters at various gestational ages. Estimated fetal weight velocity percentiles were not highly correlated with fetal size percentiles (Pearson r = 0.40–0.41, P < .001), suggesting that these measurements reflect different aspects of fetal growth and velocity may add additional information to a single measure of estimated fetal weight. At 32 (SD ± 1) weeks, if both estimated fetal weight velocity and size were <5th percentile, mean birthweight was 2550 g; however, even when size remained <5th percentile but velocity was ≥5th percentile, birthweight increased to 2867 g, reflecting the important contribution of higher growth velocities. For estimated fetal weight ≥5th percentile, but growth velocity <5th, birthweight was smaller (3208 vs 3357 g, respectively, P < .001).

CONCLUSION:

We provide fetal growth velocity data to complement our previous work on fetal growth size standards, and have developed a calculator to compute fetal growth velocity. Preliminary findings suggest that growth velocity adds additional information over knowing fetal size alone.

Keywords: birthweight, estimated fetal weight, fetal growth, fetal growth velocity

Introduction

Distinguishing fetal growth that is constitutionally small or large from growth that is pathologically restricted or increased presents one of the most significant challenges in obstetrics. Cross-sectional fetal measurements are typically compared to reference size-for age curves, with a range of 10th–90th percentiles considered appropriate for gestational age (GA).1,2 Yet, a single measurement can only indicate size.3 At least 2 measurements separated in time are needed to estimate actual fetal growth.4

Fetal growth velocity is the rate of fetal growth over a given time interval (eg, g/wk). Understanding whether fetal growth has deviated from a normal trajectory may have more clinical utility to distinguish constitutional from pathologic fetal growth abnormalities compared to using a particular threshold of fetal size from a single time measure.5 Yet until recently, there has been a lack of longitudinal prospective studies with diverse populations that have collected repeated ultrasound measurements. The benefits of using growth velocity to categorize fetal growth and assess its contribution to birthweight have not been empirically demonstrated.

The primary aim of the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) fetal growth studies– singletons, a multicenter US prospective cohort study of pregnant women, was to establish fetal growth standards, for size and velocity, for 4 self-identified race/ethnic groups: non-Hispanic white, non-Hispanic black, Hispanic, and Asian or Pacific Islander. We previously published our fetal size standards.6,7 The objective of the present analysis were to complement the fetal size standards with fetal growth velocity for individual bio­metric parameters and estimated fetal weight (EFW). Understanding that clinicians see patients at unpredictably spaced time points, we developed a model to compute fetal growth velocity percentiles of a given fetus for any given set of gestational week intervals. Additionally, we investigated whether growth velocity had an independent association with birthweight over fetal size alone.

Materials and Methods

The NICHD Fetal Growth Studies–Singletons recruited women from 12 clinical sites from July 2009 through January 2013.6 Inclusion criteria included: maternal age 18–40 years; pregravid body mass index 19.0–29.9 kg/m2 calculated from recalled prepregnancy weight and height; viable singleton pregnancy between 8w0d–13w6d with gestational dating consistent with last menstrual period dating within a prescribed range per screening sonogram; and planning to deliver at participating hospitals. Women with prior adverse pregnancy outcomes, history of chronic diseases, conception using medical drugs or assisted reproductive technology, cigarette smoking, illicit drug use, or intake of ≥1 alcoholic drinks per day were excluded as previously described.6 Human subjects’ approval was obtained from all participating sites, the NICHD, and data-coordinating center, and all women gave informed consent prior to any data collection (ClinicalTrials.gov Identifier: NCT00912132).8

Following a standardized sonogram at 10w0d–13w6d, each woman was randomized to 1 of 4 follow-up visit schedules with 5 additional study sonograms (targeted ranges: 16–22, 24–29, 30–33, 34–37, and 38–41 gestational weeks). Study visits could occur ± 1 week from the targeted GA.8 Study sonographers underwent training and credentialing prior to enrollment and followed a standardized protocol. Ultrasound measurements were performed using standard operating procedures and identical equipment. Fetal biometry included head circumference (HC) and abdominal circumference (AC) using the ellipse function, and biparietal diameter (BPD), humerus length (HL), and femur length (FL) using the linear function measured at all study visits including 10w0d–13w6d. Voluson ultrasound machines were configured so that the sonographers were blinded to the measurements. EFW was computed from HC, AC, and FL using a formula of Hadlock et al.9 Measurements and images were captured in ViewPoint (GE Healthcare) and electronically transferred to the study’s imaging data-coordination center. Quality assurance was performed on 5% of the scans, and demonstrated correlations between the site sonographers and experts >0.99 for all biometric parameters and coefficients of variation ≤3%.10 In-person interviews were conducted at each research visit to ascertain information on lifestyle, and reproductive and medical history. Demographic data; antenatal history; and labor, delivery, and neonatal course and outcomes were abstracted from the prenatal record, labor and delivery summary, and hospital and neonatal records by trained research personnel.

Statistical analysis

Ultrasonographic biometric measurements (BPD, HC, AC, HL, FL) and EFW were log-transformed to stabilize variances across GAs and to improve normal approximations for the error structures.11 For each biometric measurement and EFW we fit a linear mixed model with cubic splines for the fixed effects and a cubic polynomial for the random effects. Three-knot points (25th, 50th, 75th percentiles) were chosen at GAs that evenly split the distributions. The dependent variable is a log-transformed biometric measurement. From these we computed velocity percentiles in 2 ways: (1) the difference between 2 consecutive weekly measurements (ie, weekly velocity), and (2) the difference between any 2 ultrasounds at a clinically reasonable difference between 2 GAs (ie, velocity calculator).

The velocity curves were defined as the mean change in each anthropo-metric measurement per week of GA. This weekly change was obtained from the fitted models by exponentiations of the predicted log mean estimates at each week and making the appropriate subtractions. From these models we were able to obtain percentiles on the relative change over each gestational week. These velocities were determined across GA from 11–41 weeks and for each racial/ethnic group. The 50th percentile velocity curves were computed as the average relative change for the average week-specific measurement. Weekly velocity percentiles were calculated as relative change using the ratio of the difference between the first measurement and the second measurement to adjust for the log transformation and allow results to be reported in the original scale; for detailed equations see Appendix.

The growth velocity for EFW and each individual anthropometric parameter was tested for overall differences in racial/ethnic-specific curves using a likelihood- ratio test. When the global test was significant (<.05 level), we tested for week-specific differences by race/ethnicity using Wald tests at each week of gestation. These tests were conducted on the estimated curves with adjustment for maternal characteristics: age, height and pregravid weight, parity, full-time employment/student status (yes/no), marital status (married/living as married vs not), health insurance (private/managed vs Medicaid/other), income, education, and infant sex (male/female). All covariates were treated as continuous unless otherwise stated. Annual income (<$30,000; $30,000–39,999; $40,000–49,999; $50,000–74,999; $75,000–99,999; >$100,000) and education (<high school; high school or equivalent; some college or associate degree, bachelor’s degree; and master’s or higher degree) were analyzed categorically. We used multiple imputation (with 20 imputations) to account for missing covariate information when performing covariate-adjusted tests for week-specific racial/ethnic differences in the fetal growth curves.12

EFW percentiles were computed as previously reported for singleton fetal growth.6 We then compared fetal growth velocity percentiles and the EFW percentiles at 24, 28, 32, 36, and 40 (±1) weeks’ gestation to evaluate whether these 2 measures were correlated using the Pearson correlation coefficient (r). Growth velocity was computed as the estimated fetal growth rate (g/wk) between the ultrasound at that GA and from the prior visit [ie, for 28–32 weeks GA: velocity = (EFW 32–28)/(GA 32–28)].

Understanding that clinicians see patients at unpredictably spaced time points, we developed a model so that the fetal growth velocity with corresponding percentiles can be computed for any given set of gestational weeks. Percentile distributions for this difference were constructed on the log scale using the linear mixed models that includes within and between women variation discussed above. These percentiles assessed the relative change in anthropometric measurement taken at any fixed set of 2 GA times, without having to observe all the time points in between. Thus, for any given set of 2 GA and anthropometric measurements the change percentile can be computed.

We examined whether the maternal demographics, birthweight, and composite neonatal morbidity distributions differed by whether or not EFW and EFW velocity were each <5th percentile (both <5th percentile), EFW <5th percentile but velocity not, velocity <5th percentile but EFW not, and lastly, both >5th percentile. The χ2 or t tests for categorical and continuous data, respectively, were performed with significance defined as a 2-sided P < .05 using 32 weeks’ gestation for illustration purposes. The composite neonatal outcome included: metabolic acidosis (pH <7.1 and base deficit >12 mmol/L), neonatal intensive care unit stay >3 days, pneumonia, respiratory distress syndrome, persistent pulmonary hyper-tension, seizures, hyperbilirubinemia requiring exchange transfusion, intrapartum aspiration (meconium, amniotic fluid, blood), mechanical ventilation at term, necrotizing enterocolitis, hypoglycemia, hypoxic ischemic encephalopathy, periventricular leukomalacia, sepsis based on blood culture, bronchopulmonary dysplasia/chronic lung disease, retinopathy of prematurity, birth injury, or neonatal death.13–17

All analyses were implemented using SAS (Version 9.4; SAS Institute Inc, Cary, NC) or R (Version 3.4.2; http://www.R-project.org).

Results

Among the 2334 low-risk women enrolled, 169 (7%) exited the study; 356 (16%) were excluded due to pregnancy complications (eg, miscarriages, stillbirths, preterm delivery, hypertensive diseases, gestational diabetes); and 72 (4%) due to fetal or neonatal conditions (stillbirth, aneuploidy, or anomalies), resulting in 1737 pregnant women included in the standard. Four women did not have ultrasound data leaving 1733 for analysis. Of these women, 480 (28%) were non-Hispanic white, 423 (24%) were non-Hispanic black, 488 (28%) were Hispanic, and 342 (20%) were Asian or Pacific Islander. Additional demographic details are previously published.6

Average EFW growth velocity increased across gestation from 29 g/wk at 16 weeks, to 59 g/wk at 20 weeks, to 175 g/wk at 30 weeks, and 215 g/wk at 35 weeks, at which point it peaked. The 50th percentiles for weekly fetal growth velocity varied slightly by race/ethnicity for EFW (Figure 1) (global test P < .001) and BPD, HC, AC, FL, and HL (Figure 2) (global test P < .001 for all), although comparisons reflected differences for parameters at various GAs. Data for weekly growth velocity percentiles (5th, 10th, 50th, 90th, 95th) are presented in Table 1 with pairwise comparisons between racial/ethnic groups presented in Table 2. In general, the AC growth velocity increased in the first half of pregnancy until peaking on average around 16 weeks of gestation, with a second acceleration from 27–31 weeks, followed by steadily decreasing growth velocity for the remainder of pregnancy. Figure 2 illustrates the largest differences in fetal growth velocity by race/ethnicity was for the AC (Figure 2). The BPD and HC average growth velocities increased early in pregnancy peaking at approximately 13 and 14 weeks, respectively, with a second slight acceleration occurring from 19–22 weeks for BPD and 19–21 weeks for HC, followed by a decrease in growth velocity as pregnancy advanced. The long bone average growth velocities also increased in the first half of pregnancy, peaking at approximately 15 weeks for both the HL and FL, then steadily decreased over the rest of gestation. It is important to note that weekly fetal growth velocity was negative (reflecting measurement error) for the 5th and 10th percentiles for some of the anthropometric measurements at various gestational weeks. These findings were corroborated in simulations (data not presented) based on a previous approach.18

FIGURE 1:

Estimated fetal weight (EFW) velocity (g/wk) by race/ethnicity and gestation, Eunice Kennedy Shriver National Institute of Child Health and Human Development fetal growth studies–singletons

FIGURE 1:

Velocity for EFW by maternal self-reported race/ethnicity. Velocity was computed using parameters from linear mixed model as discussed in “Materials and Methods” section.

FIGURE 2:

Growth velocity (g/wk) of fetal anthropometric measurements by race/ethnicity and gestation, Eunice Kennedy Shriver National Institute of Child Health and Human Development fetal growth studies–singletons

FIGURE 2:

Velocity for individual fetal anthropometric parameters by self-reported race/ethnicity. Velocity was computed using parameters from linear mixed model as discussed in “Materials and Methods” section.

AC, abdominal circumference; BPD, biparietal diameter; FL, femur length; HC, head circumference; HL, humerus length.

TABLE 1.

Race/ethnic-specific percentiles for fetal growth velocity of anthropometric measurements by gestational age, Eunice Kennedy Shriver National Institute of Child Health and Human Development fetal growth studies

Gestational age, wk Percentile
5th 10th 50th 90th 95th
Biparietal diameter, mm-white
11 2.4 2.6 3.4 4.2 4.4
12 2.4 2.7 3.6 4.6 4.9
13 2.3 2.6 3.8 4.9 5.3
14 2.1 2.4 3.7 5.1 5.5
15 1.7 2.1 3.6 5.2 5.6
16 1.3 1.8 3.4 5.2 5.7
17 0.9 1.4 3.3 5.2 5.7
18 0.6 1.2 3.1 5.2 5.8
19 0.4 1.0 3.1 5.3 6.0
20 0.2 0.8 3.1 5.5 6.2
21 0.0 0.7 3.1 5.7 6.4
22 −0.1 0.6 3.2 5.9 6.7
23 −0.3 0.4 3.1 6.0 6.9
24 −0.6 0.2 3.1 6.2 7.1
25 −0.8 0.0 3.1 6.3 7.2
26 −1.0 −0.2 3.0 6.4 7.4
27 −1.3 −0.4 3.0 6.5 7.5
28 −1.5 −0.6 2.9 6.5 7.6
29 −1.8 −0.8 2.8 6.6 7.7
30 −2.1 −1.0 2.7 6.6 7.8
31 −2.4 −1.3 2.6 6.6 7.8
32 −2.7 −1.6 2.4 6.6 7.8
33 −3.0 −1.9 2.2 6.6 7.8
34 −3.3 −2.2 2.0 6.4 7.7
35 −3.7 −2.5 1.8 6.3 7.6
36 −4.0 −2.8 1.6 6.1 7.5
37 −4.3 −3.1 1.3 6.0 7.4
38 −4.6 −3.3 1.1 5.9 7.2
39 −4.8 −3.6 1.0 5.7 7.1
40 −5.0 −3.8 0.8 5.6 7.1
41 −5.2 −3.9 0.7 5.6 7.0
Head circumference, mm-white
11 9.0 9.7 12.0 14.4 15.1
12 9.2 10.0 12.8 15.7 16.6
13 9.0 10.0 13.3 16.7 17.7
14 8.4 9.5 13.3 17.3 18.5
15 7.6 8.8 13.1 17.6 18.9
16 6.5 7.9 12.7 17.7 19.2
17 5.5 7.0 12.3 17.8 19.4
18 4.5 6.1 11.9 17.9 19.7
19 3.8 5.6 11.8 18.3 20.2
20 3.3 5.2 11.9 18.9 20.9
21 2.8 4.8 11.9 19.4 21.5
22 2.2 4.3 11.9 19.8 22.1
23 1.5 3.7 11.8 20.2 22.6
24 0.7 3.1 11.6 20.5 23.1
25 −0.1 2.4 11.4 20.7 23.4
26 −0.9 1.7 11.0 20.8 23.6
27 −1.8 0.9 10.7 20.9 23.8
28 −2.8 0.0 10.2 20.9 23.9
29 −3.7 −0.8 9.8 20.8 24.0
30 −4.7 −1.7 9.3 20.6 23.9
31 −5.7 −2.6 8.7 20.4 23.8
32 −6.7 −3.5 8.1 20.1 23.6
33 −7.8 −4.5 7.4 19.7 23.3
34 −8.8 −5.5 6.6 19.2 22.9
35 −9.9 −6.5 5.9 18.7 22.4
36 −10.9 −7.4 5.1 18.2 21.9
37 −11.8 −8.3 4.4 17.6 21.5
38 −12.6 −9.0 3.8 17.2 21.1
39 −13.3 −9.7 3.3 16.8 20.8
40 −13.8 −10.2 2.9 16.6 20.5
41 −14.3 −10.7 2.6 16.4 20.5
Abdominal circumference, mm-white
11 6.4 7.1 9.5 12.1 12.9
12 6.7 7.5 10.5 13.7 14.6
13 6.7 7.7 11.3 15.1 16.2
14 6.5 7.6 11.8 16.3 17.6
15 5.9 7.3 12.1 17.3 18.8
16 5.2 6.7 12.2 18.1 19.8
17 4.3 6.0 12.2 18.7 20.6
18 3.4 5.3 12.1 19.3 21.4
19 2.5 4.6 12.0 19.9 22.2
20 1.7 3.9 12.0 20.6 23.1
21 0.8 3.2 11.9 21.2 23.9
22 −0.2 2.4 11.8 21.7 24.6
23 −1.1 1.6 11.6 22.1 25.2
24 −2.1 0.8 11.4 22.6 25.9
25 −3.1 0.0 11.2 23.0 26.5
26 −4.0 −0.8 11.0 23.4 27.1
27 −4.9 −1.5 10.9 23.9 27.8
28 −5.6 −2.1 10.9 24.5 28.5
29 −6.3 −2.6 10.9 25.2 29.4
30 −6.9 −3.1 11.1 26.0 30.3
31 −7.6 −3.6 11.1 26.7 31.2
32 −8.4 −4.2 11.1 27.3 32.0
33 −9.2 −4.9 11.0 27.8 32.7
34 −10.2 −5.7 10.8 28.2 33.3
35 −11.2 −6.5 10.5 28.4 33.7
36 −12.3 −7.5 10.0 28.6 34.0
37 −13.6 −8.6 9.4 28.5 34.1
38 −14.9 −9.8 8.7 28.2 34.0
39 −16.3 −11.2 7.8 27.8 33.7
40 −17.9 −12.6 6.7 27.2 33.2
41 −19.6 −14.2 5.5 26.4 32.5
Femur length, mm–white
11 1.2 1.3 1.7 2.1 2.2
12 1.5 1.7 2.3 2.9 3.1
13 1.8 2.0 2.8 3.7 4.0
14 1.8 2.1 3.2 4.4 4.8
15 1.7 2.0 3.5 5.0 5.5
16 1.3 1.7 3.5 5.4 5.9
17 0.8 1.3 3.3 5.6 6.2
18 0.2 0.8 3.1 5.7 6.4
19 −0.3 0.4 3.0 5.8 6.7
20 −0.6 0.1 2.9 6.1 7.0
21 −1.0 −0.2 2.9 6.3 7.3
22 −1.4 −0.5 2.8 6.5 7.6
23 −1.8 −0.9 2.7 6.6 7.8
24 −2.2 −1.2 2.6 6.8 8.0
25 −2.6 −1.5 2.5 6.9 8.2
26 −3.0 −1.9 2.4 7.0 8.4
27 −3.4 −2.2 2.3 7.1 8.6
28 −3.7 −2.4 2.2 7.3 8.8
29 −4.0 −2.7 2.1 7.4 9.0
30 −4.2 −2.9 2.1 7.6 9.3
31 −4.5 −3.1 2.1 7.8 9.5
32 −4.8 −3.3 2.0 7.9 9.7
33 −5.0 −3.6 2.0 8.1 9.9
34 −5.3 −3.8 1.9 8.2 10.0
35 −5.6 −4.1 1.8 8.2 10.2
36 −5.9 −4.3 1.7 8.3 10.3
37 −6.3 −4.6 1.5 8.3 10.3
38 −6.6 −4.9 1.4 8.2 10.3
39 −6.9 −5.2 1.2 8.2 10.3
40 −7.2 −5.5 1.0 8.1 10.2
41 −7.6 −5.8 0.7 7.9 10.1
Humerus length, mm-white
11 1.3 1.4 1.8 2.1 2.3
12 1.7 1.9 2.4 3.0 3.2
13 2.0 2.2 2.9 3.8 4.0
14 2.0 2.3 3.3 4.4 4.8
15 1.8 2.1 3.4 4.9 5.3
16 1.3 1.8 3.3 5.1 5.6
17 0.8 1.3 3.1 5.1 5.7
18 0.2 0.8 2.8 5.1 5.7
19 −0.3 0.3 2.6 5.1 5.8
20 −0.6 0.1 2.5 5.2 6.0
21 −0.9 −0.2 2.5 5.4 6.2
22 −1.2 −0.5 2.4 5.5 6.4
23 −1.6 −0.8 2.3 5.6 6.6
24 −1.9 −1.0 2.2 5.7 6.7
25 −2.2 −1.3 2.1 5.7 6.8
26 −2.5 −1.6 1.9 5.8 6.9
27 −2.8 −1.8 1.8 5.8 7.0
28 −3.1 −2.0 1.8 5.9 7.1
29 −3.3 −2.2 1.7 6.0 7.3
30 −3.5 −2.4 1.7 6.1 7.4
31 −3.7 −2.6 1.6 6.2 7.5
32 −3.9 −2.8 1.6 6.3 7.7
33 −4.1 −2.9 1.5 6.3 7.8
34 −4.3 −3.1 1.5 6.4 7.9
35 −4.5 −3.3 1.4 6.5 8.0
36 −4.7 −3.5 1.3 6.5 8.1
37 −5.0 −3.7 1.2 6.5 8.1
38 −5.2 −3.9 1.1 6.5 8.1
39 −5.5 −4.1 0.9 6.4 8.0
40 −5.7 −4.4 0.7 6.3 8.0
41 −6.1 −4.7 0.5 6.1 7.8
Estimated fetal weight, g-white
11 4 5 8 13 14
12 5 6 11 16 18
13 7 8 14 21 23
14 9 11 18 26 29
15 11 14 23 33 37
16 14 17 29 42 46
17 17 21 36 52 57
18 20 25 44 64 70
19 23 29 52 77 85
20 25 33 61 92 101
21 27 36 70 107 118
22 28 39 80 124 138
23 29 42 90 143 159
24 29 44 101 163 182
25 28 46 113 185 207
26 27 48 125 209 235
27 25 49 138 235 264
28 23 50 152 263 297
29 20 51 167 294 332
30 16 51 183 327 370
31 10 49 198 360 408
32 0 44 211 392 447
33 −14 36 221 423 484
34 −32 23 227 451 518
35 −54 5 229 474 547
36 −81 −16 227 493 572
37 −111 −41 222 508 594
38 −142 −67 214 520 612
39 −175 −95 203 529 626
40 −209 −124 191 535 638
41 −244 −155 176 539 648
Biparietal diameter, mm-black
11 2.5 2.7 3.4 4.3 4.5
12 2.5 2.7 3.7 4.7 5.0
13 2.3 2.6 3.8 5.0 5.3
14 2.0 2.4 3.7 5.1 5.6
15 1.6 2.1 3.6 5.2 5.7
16 1.2 1.7 3.4 5.2 5.7
17 0.9 1.4 3.2 5.2 5.8
18 0.6 1.1 3.1 5.3 5.9
19 0.4 1.0 3.1 5.4 6.1
20 0.2 0.8 3.2 5.6 6.3
21 0.0 0.7 3.1 5.8 6.5
22 −0.2 0.5 3.1 5.9 6.7
23 −0.5 0.3 3.1 6.0 6.9
24 −0.7 0.1 3.0 6.2 7.1
25 −1.0 −0.1 3.0 6.2 7.2
26 −1.2 −0.3 2.9 6.3 7.3
27 −1.5 −0.6 2.8 6.4 7.5
28 −1.7 −0.8 2.8 6.5 7.6
29 −2.0 −1.0 2.7 6.5 7.7
30 −2.3 −1.2 2.6 6.6 7.7
31 −2.5 −1.5 2.4 6.6 7.8
32 −2.9 −1.8 2.3 6.5 7.8
33 −3.2 −2.1 2.1 6.4 7.7
34 −3.6 −2.4 1.8 6.3 7.6
35 −3.9 −2.8 1.6 6.1 7.4
36 −4.3 −3.1 1.3 5.9 7.3
37 −4.5 −3.3 1.1 5.8 7.2
38 −4.7 −3.4 1.1 5.8 7.2
39 −4.8 −3.5 1.0 5.8 7.2
40 −4.8 −3.5 1.1 5.9 7.4
41 −4.7 −3.4 1.2 6.2 7.6
Head circumference, mm-black
11 9.2 9.9 12.3 14.9 15.6
12 9.4 10.2 13.1 16.2 17.1
13 9.0 10.0 13.5 17.2 18.2
14 8.3 9.4 13.5 17.7 18.9
15 7.2 8.5 13.1 17.9 19.3
16 6.0 7.5 12.6 17.9 19.5
17 4.9 6.5 12.1 18.0 19.7
18 4.0 5.7 11.8 18.2 20.1
19 3.4 5.2 11.8 18.7 20.7
20 2.8 4.8 11.9 19.3 21.4
21 2.1 4.2 11.8 19.7 22.0
22 1.4 3.6 11.7 20.1 22.5
23 0.6 2.9 11.4 20.4 22.9
24 −0.3 2.2 11.2 20.6 23.3
25 −1.2 1.4 10.9 20.7 23.6
26 −2.1 0.7 10.5 20.8 23.8
27 −3.0 −0.1 10.2 20.9 24.0
28 −3.9 −0.9 9.8 20.9 24.2
29 −4.7 −1.7 9.4 21.0 24.3
30 −5.7 −2.5 9.0 20.9 24.4
31 −6.6 −3.4 8.4 20.7 24.3
32 −7.7 −4.3 7.8 20.4 24.1
33 −8.8 −5.4 7.0 20.0 23.7
34 −10.0 −6.5 6.2 19.4 23.2
35 −11.1 −7.6 5.3 18.7 22.6
36 −12.2 −8.6 4.5 18.1 22.1
37 −12.9 −9.3 3.9 17.7 21.7
38 −13.5 −9.8 3.6 17.5 21.6
39 −13.8 −10.1 3.4 17.5 21.6
40 −13.9 −10.2 3.5 17.8 22.0
41 −13.9 −10.0 3.9 18.4 22.6
Abdominal circumference, mm-black
11 5.9 6.6 9.5 12.5 13.4
12 6.0 6.9 10.4 14.1 15.2
13 5.8 6.9 11.1 15.5 16.8
14 5.3 6.6 11.5 16.7 18.2
15 4.6 6.1 11.7 17.7 19.4
16 3.7 5.4 11.7 18.5 20.5
17 2.7 4.6 11.6 19.2 21.4
18 1.7 3.8 11.6 19.8 22.3
19 0.7 3.0 11.5 20.5 23.2
20 −0.3 2.2 11.4 21.2 24.1
21 −1.3 1.3 11.2 21.8 24.9
22 −2.4 0.4 11.0 22.3 25.6
23 −3.5 −0.5 10.8 22.7 26.3
24 −4.6 −1.4 10.5 23.2 26.9
25 −5.6 −2.2 10.3 23.7 27.6
26 −6.5 −2.9 10.2 24.2 28.4
27 −7.3 −3.6 10.2 24.9 29.2
28 −8.1 −4.1 10.3 25.7 30.2
29 −8.6 −4.5 10.5 26.6 31.4
30 −9.2 −5.0 10.8 27.6 32.5
31 −10.0 −5.5 10.9 28.4 33.6
32 −10.9 −6.2 10.9 29.1 34.5
33 −11.9 −7.1 10.7 29.6 35.2
34 −13.1 −8.1 10.3 29.9 35.7
35 −14.4 −9.3 9.7 30.0 36.0
36 −15.7 −10.3 9.2 30.1 36.3
37 −16.7 −11.2 8.9 30.4 36.7
38 −17.5 −11.9 8.8 30.8 37.4
39 −18.1 −12.3 8.9 31.6 38.3
40 −18.5 −12.6 9.3 32.6 39.5
41 −18.8 −12.6 10.0 34.1 41.2
Femur length, mm-black
11 1.3 1.4 1.8 2.2 2.4
12 1.7 1.9 2.5 3.1 3.3
13 2.0 2.2 3.1 4.0 4.3
14 1.9 2.3 3.4 4.7 5.1
15 1.7 2.1 3.5 5.2 5.7
16 1.2 1.7 3.4 5.4 6.0
17 0.6 1.1 3.2 5.5 6.2
18 0.1 0.7 3.0 5.6 6.3
19 −0.3 0.3 2.9 5.8 6.6
20 −0.7 0.1 2.9 6.0 7.0
21 −1.1 −0.2 2.9 6.3 7.3
22 −1.4 −0.6 2.8 6.4 7.5
23 −1.8 −0.9 2.7 6.6 7.8
24 −2.2 −1.2 2.6 6.7 8.0
25 −2.6 −1.5 2.5 6.9 8.2
26 −3.0 −1.9 2.4 7.0 8.4
27 −3.3 −2.1 2.3 7.1 8.6
28 −3.6 −2.4 2.2 7.3 8.8
29 −3.9 −2.6 2.2 7.5 9.0
30 −4.1 −2.8 2.2 7.6 9.3
31 −4.4 −3.0 2.1 7.8 9.5
32 −4.7 −3.3 2.1 7.9 9.7
33 −5.0 −3.5 2.0 8.0 9.9
34 −5.4 −3.8 1.9 8.1 10.0
35 −5.7 −4.1 1.7 8.1 10.0
36 −6.0 −4.4 1.6 8.1 10.1
37 −6.2 −4.6 1.5 8.2 10.2
38 −6.4 −4.8 1.4 8.3 10.3
39 −6.6 −4.9 1.5 8.4 10.5
40 −6.7 −5.0 1.5 8.7 10.8
41 −6.8 −5.0 1.7 9.0 11.2
Humerus length, mm-black
11 1.4 1.5 1.9 2.4 2.5
12 1.8 2.0 2.6 3.3 3.5
13 2.0 2.3 3.2 4.1 4.4
14 2.0 2.3 3.5 4.8 5.2
15 1.6 2.0 3.5 5.1 5.6
16 1.1 1.5 3.3 5.2 5.8
17 0.4 1.0 3.0 5.2 5.9
18 −0.1 0.5 2.7 5.2 6.0
19 −0.5 0.1 2.6 5.3 6.2
20 −0.9 −0.1 2.6 5.5 6.4
21 −1.2 −0.4 2.5 5.7 6.6
22 −1.6 −0.8 2.4 5.8 6.8
23 −2.0 −1.1 2.2 5.9 7.0
24 −2.3 −1.4 2.1 5.9 7.1
25 −2.6 −1.7 2.0 6.0 7.2
26 −3.0 −1.9 1.9 6.1 7.3
27 −3.2 −2.2 1.8 6.2 7.5
28 −3.5 −2.4 1.7 6.2 7.6
29 −3.7 −2.6 1.7 6.4 7.8
30 −3.9 −2.7 1.7 6.5 8.0
31 −4.1 −2.9 1.7 6.6 8.1
32 −4.4 −3.1 1.6 6.7 8.3
33 −4.6 −3.3 1.5 6.8 8.4
34 −4.8 −3.5 1.4 6.8 8.4
35 −5.1 −3.8 1.3 6.8 8.5
36 −5.3 −4.0 1.2 6.9 8.5
37 −5.5 −4.1 1.2 6.9 8.7
38 −5.6 −4.2 1.2 7.1 8.9
39 −5.6 −4.2 1.3 7.3 9.1
40 −5.6 −4.1 1.5 7.7 9.6
41 −5.6 −4.0 1.8 8.2 10.1
Estimated fetal weight, g-black
11 4 5 9 13 15
12 5 6 11 17 19
13 6 8 15 22 24
14 8 10 19 28 31
15 10 13 23 35 39
16 12 16 29 44 48
17 15 19 36 54 60
18 17 22 43 65 72
19 18 25 50 78 86
20 19 27 58 92 102
21 19 29 66 107 119
22 19 31 75 123 138
23 19 32 84 141 158
24 17 33 94 161 181
25 15 34 104 182 205
26 13 34 115 205 232
27 10 34 127 230 261
28 6 34 141 258 293
29 2 34 155 288 328
30 −3 33 170 320 366
31 −11 30 183 353 404
32 −23 23 195 385 442
33 −39 12 203 414 477
34 −60 −4 207 439 509
35 −86 −25 205 458 535
36 −113 −46 202 477 559
37 −139 −67 200 495 584
38 −163 −87 200 516 611
39 −184 −103 202 539 641
40 −204 −117 209 569 678
41 −220 −127 221 606 722
Biparietal diameter, mm-Hispanic
11 2.3 2.5 3.3 4.1 4.4
12 2.3 2.6 3.6 4.6 4.9
13 2.2 2.5 3.7 4.9 5.2
14 2.0 2.4 3.7 5.1 5.5
15 1.7 2.1 3.6 5.2 5.6
16 1.3 1.7 3.4 5.2 5.7
17 0.9 1.4 3.3 5.2 5.8
18 0.6 1.1 3.1 5.2 5.9
19 0.3 0.9 3.1 5.4 6.0
20 0.2 0.8 3.1 5.6 6.3
21 0.0 0.7 3.1 5.7 6.5
22 −0.2 0.5 3.2 5.9 6.7
23 −0.4 0.4 3.1 6.1 6.9
24 −0.6 0.2 3.1 6.2 7.1
25 −0.9 0.0 3.1 6.3 7.3
26 −1.1 −0.2 3.0 6.4 7.4
27 −1.4 −0.5 2.9 6.5 7.6
28 −1.7 −0.7 2.8 6.6 7.7
29 −1.9 −0.9 2.7 6.6 7.7
30 −2.2 −1.2 2.6 6.6 7.8
31 −2.5 −1.4 2.5 6.6 7.8
32 −2.8 −1.7 2.3 6.6 7.8
33 −3.2 −2.0 2.1 6.5 7.8
34 −3.5 −2.3 1.9 6.4 7.7
35 −3.9 −2.7 1.7 6.2 7.6
36 −4.2 −3.0 1.4 6.1 7.4
37 −4.4 −3.2 1.3 6.0 7.4
38 −4.6 −3.4 1.2 5.9 7.3
39 −4.7 −3.5 1.1 5.9 7.3
40 −4.8 −3.5 1.1 6.0 7.5
41 −4.8 −3.5 1.2 6.2 7.7
Head circumference, mm-Hispanic
11 8.4 9.2 12.0 15.0 15.8
12 8.5 9.5 12.9 16.5 17.6
13 8.2 9.3 13.4 17.7 18.9
14 7.5 8.8 13.5 18.5 19.9
15 6.4 7.9 13.3 18.9 20.6
16 5.2 6.8 12.8 19.1 21.0
17 3.9 5.7 12.3 19.3 21.3
18 2.8 4.7 11.9 19.5 21.7
19 1.9 4.0 11.8 19.9 22.3
20 1.2 3.5 11.8 20.6 23.1
21 0.5 2.9 11.8 21.1 23.9
22 −0.3 2.3 11.7 21.7 24.6
23 −1.2 1.5 11.6 22.1 25.2
24 −2.1 0.8 11.4 22.5 25.7
25 −3.1 0.0 11.1 22.8 26.2
26 −4.1 −0.9 10.8 23.0 26.6
27 −5.1 −1.7 10.4 23.2 26.9
28 −6.1 −2.6 10.0 23.3 27.1
29 −7.1 −3.5 9.6 23.3 27.4
30 −8.1 −4.4 9.1 23.3 27.5
31 −9.2 −5.4 8.6 23.2 27.5
32 −10.3 −6.4 8.0 23.0 27.4
33 −11.4 −7.4 7.3 22.7 27.2
34 −12.6 −8.5 6.5 22.3 26.9
35 −13.8 −9.6 5.7 21.7 26.4
36 −14.9 −10.6 4.9 21.1 25.9
37 −15.9 −11.6 4.1 20.6 25.4
38 −16.7 −12.4 3.5 20.2 25.0
39 −17.4 −13.0 3.0 19.8 24.7
40 −18.0 −13.6 2.6 19.6 24.5
41 −18.5 −14.0 2.3 19.5 24.5
Abdominal circumference, mm-Hispanic
11 5.9 6.6 9.3 12.2 13.0
12 6.1 7.0 10.3 13.8 14.8
13 6.0 7.1 11.1 15.3 16.5
14 5.7 6.9 11.6 16.6 18.0
15 5.1 6.6 11.9 17.6 19.3
16 4.3 6.0 12.1 18.5 20.4
17 3.4 5.2 12.0 19.3 21.4
18 2.4 4.4 11.9 19.9 22.3
19 1.4 3.6 11.9 20.6 23.2
20 0.4 2.9 11.8 21.3 24.1
21 −0.6 2.0 11.6 21.8 24.9
22 −1.7 1.1 11.4 22.4 25.6
23 −2.8 0.2 11.2 22.8 26.3
24 −3.8 −0.7 10.9 23.3 26.9
25 −4.8 −1.5 10.7 23.8 27.6
26 −5.8 −2.3 10.6 24.3 28.3
27 −6.6 −3.0 10.5 24.9 29.1
28 −7.4 −3.5 10.6 25.6 30.1
29 −8.0 −4.0 10.8 26.5 31.2
30 −8.6 −4.4 11.0 27.5 32.3
31 −9.3 −4.9 11.2 28.3 33.4
32 −10.2 −5.6 11.2 29.0 34.3
33 −11.2 −6.4 11.0 29.5 35.0
34 −12.4 −7.4 10.6 29.8 35.5
35 −13.7 −8.6 10.1 29.9 35.7
36 −15.0 −9.8 9.4 29.9 35.9
37 −16.2 −10.9 8.9 29.9 36.1
38 −17.4 −11.8 8.4 29.9 36.3
39 −18.4 −12.7 8.0 30.1 36.6
40 −19.3 −13.5 7.8 30.4 37.0
41 −20.1 −14.2 7.6 30.8 37.7
Femur length, mm-Hispanic
11 1.3 1.3 1.7 2.0 2.1
12 1.6 1.8 2.3 2.9 3.0
13 1.9 2.1 2.8 3.7 3.9
14 1.9 2.2 3.2 4.3 4.7
15 1.8 2.1 3.4 4.8 5.3
16 1.4 1.8 3.4 5.1 5.6
17 0.9 1.4 3.3 5.3 5.9
18 0.4 1.0 3.1 5.4 6.0
19 0.0 0.6 3.0 5.5 6.3
20 −0.3 0.3 2.9 5.7 6.6
21 −0.7 0.1 2.9 5.9 6.8
22 −1.1 −0.2 2.8 6.1 7.1
23 −1.4 −0.6 2.7 6.2 7.3
24 −1.8 −0.9 2.6 6.3 7.5
25 −2.2 −1.2 2.4 6.4 7.6
26 −2.5 −1.5 2.3 6.5 7.8
27 −2.9 −1.8 2.2 6.6 7.9
28 −3.1 −2.0 2.2 6.8 8.1
29 −3.4 −2.2 2.2 6.9 8.3
30 −3.6 −2.4 2.1 7.1 8.6
31 −3.9 −2.6 2.1 7.2 8.8
32 −4.1 −2.8 2.1 7.4 9.0
33 −4.4 −3.1 2.0 7.4 9.1
34 −4.7 −3.3 1.8 7.5 9.2
35 −5.1 −3.6 1.7 7.5 9.2
36 −5.4 −3.9 1.5 7.5 9.2
37 −5.6 −4.1 1.4 7.5 9.3
38 −5.8 −4.3 1.4 7.5 9.4
39 −6.0 −4.4 1.3 7.6 9.5
40 −6.1 −4.5 1.4 7.8 9.7
41 −6.2 −4.6 1.5 8.1 10.0
Humerus length, mm-Hispanic
11 1.3 1.4 1.8 2.2 2.3
12 1.7 1.9 2.4 3.0 3.2
13 2.0 2.2 3.0 3.8 4.1
14 2.0 2.3 3.3 4.5 4.8
15 1.7 2.1 3.4 4.9 5.3
16 1.2 1.7 3.3 5.1 5.6
17 0.7 1.2 3.0 5.0 5.7
18 0.1 0.6 2.7 5.0 5.7
19 −0.4 0.3 2.6 5.0 5.8
20 −0.7 0.0 2.5 5.2 6.0
21 −1.0 −0.3 2.4 5.4 6.2
22 −1.3 −0.5 2.3 5.5 6.4
23 −1.6 −0.8 2.2 5.6 6.6
24 −2.0 −1.1 2.1 5.7 6.7
25 −2.3 −1.4 2.0 5.7 6.8
26 −2.6 −1.6 1.9 5.8 6.9
27 −2.9 −1.9 1.8 5.8 7.1
28 −3.1 −2.1 1.7 5.9 7.2
29 −3.4 −2.3 1.7 6.0 7.3
30 −3.6 −2.5 1.6 6.1 7.5
31 −3.8 −2.6 1.6 6.2 7.6
32 −4.0 −2.8 1.5 6.3 7.7
33 −4.2 −3.0 1.5 6.3 7.8
34 −4.4 −3.2 1.4 6.4 7.9
35 −4.7 −3.4 1.3 6.4 7.9
36 −4.9 −3.6 1.2 6.4 8.0
37 −5.1 −3.8 1.1 6.5 8.0
38 −5.2 −3.9 1.1 6.5 8.1
39 −5.4 −4.0 1.0 6.5 8.2
40 −5.6 −4.2 1.0 6.6 8.3
41 −5.7 −4.3 0.9 6.7 8.4
Estimated fetal weight, g—Hispanic
11 3 4 9 13 15
12 4 6 11 17 19
13 6 8 14 21 24
14 8 10 18 27 30
15 10 12 23 35 38
16 12 15 29 43 48
17 14 19 35 54 59
18 16 22 43 66 73
19 18 25 51 79 88
20 19 27 59 93 104
21 19 29 67 109 122
22 19 31 76 126 141
23 18 32 86 145 163
24 17 33 96 165 186
25 14 34 107 187 212
26 12 34 118 212 240
27 8 34 131 238 270
28 4 34 144 267 304
29 0 33 159 299 341
30 −6 32 175 334 382
31 −14 29 190 369 423
32 −27 21 203 403 464
33 −43 10 212 435 502
34 −65 −6 216 462 537
35 −93 −29 215 484 565
36 −124 −54 209 501 589
37 −154 −79 204 518 612
38 −184 −103 199 534 635
39 −211 −126 196 552 660
40 −237 −146 195 574 688
41 −261 −164 198 600 722
Biparietal diameter, mm-Asian
11 2.4 2.6 3.4 4.2 4.4
12 2.5 2.7 3.6 4.6 4.9
13 2.4 2.7 3.8 4.9 5.2
14 2.2 2.5 3.8 5.1 5.5
15 1.8 2.2 3.7 5.2 5.6
16 1.5 1.9 3.5 5.2 5.7
17 1.1 1.5 3.3 5.1 5.7
18 0.7 1.2 3.1 5.1 5.7
19 0.4 1.0 3.0 5.2 5.8
20 0.3 0.9 3.1 5.4 6.0
21 0.1 0.8 3.1 5.6 6.3
22 0.0 0.6 3.1 5.7 6.5
23 −0.2 0.5 3.1 5.9 6.7
24 −0.4 0.3 3.1 6.0 6.9
25 −0.7 0.2 3.1 6.2 7.1
26 −0.9 0.0 3.0 6.3 7.2
27 −1.1 −0.3 3.0 6.3 7.3
28 −1.4 −0.5 2.9 6.4 7.4
29 −1.7 −0.7 2.8 6.4 7.5
30 −2.0 −1.0 2.6 6.4 7.5
31 −2.3 −1.2 2.5 6.4 7.6
32 −2.5 −1.5 2.3 6.4 7.6
33 −2.8 −1.8 2.2 6.3 7.5
34 −3.1 −2.0 2.0 6.2 7.5
35 −3.4 −2.3 1.8 6.1 7.4
36 −3.7 −2.6 1.6 6.0 7.3
37 −4.0 −2.8 1.4 5.9 7.2
38 −4.3 −3.1 1.2 5.8 7.1
39 −4.6 −3.3 1.0 5.6 7.0
40 −4.8 −3.6 0.8 5.5 6.8
41 −5.1 −3.9 0.6 5.3 6.7
Head circumference, mm-Asian
11 9.2 9.8 11.9 14.1 14.8
12 9.5 10.2 12.8 15.5 16.3
13 9.4 10.3 13.3 16.5 17.4
14 8.9 9.9 13.4 17.1 18.1
15 8.1 9.2 13.2 17.4 18.6
16 7.1 8.3 12.8 17.4 18.8
17 6.0 7.4 12.3 17.4 18.9
18 5.0 6.5 11.8 17.4 19.0
19 4.2 5.8 11.6 17.6 19.3
20 3.7 5.4 11.6 18.0 19.9
21 3.3 5.1 11.7 18.5 20.5
22 2.7 4.7 11.7 19.0 21.1
23 2.1 4.2 11.6 19.3 21.6
24 1.4 3.6 11.4 19.6 22.0
25 0.7 2.9 11.2 19.8 22.3
26 −0.2 2.2 10.9 19.9 22.5
27 −1.0 1.5 10.5 19.9 22.6
28 −1.9 0.7 10.1 19.8 22.6
29 −2.9 −0.2 9.5 19.6 22.6
30 −3.9 −1.1 9.0 19.4 22.4
31 −4.8 −2.0 8.4 19.1 22.3
32 −5.8 −2.8 7.8 18.8 22.0
33 −6.7 −3.7 7.2 18.5 21.8
34 −7.6 −4.6 6.6 18.1 21.5
35 −8.5 −5.4 5.9 17.7 21.1
36 −9.4 −6.2 5.3 17.2 20.7
37 −10.4 −7.1 4.6 16.7 20.2
38 −11.3 −8.1 3.8 16.0 19.6
39 −12.4 −9.1 2.9 15.3 18.9
40 −13.4 −10.1 2.0 14.4 18.1
41 −14.5 −11.2 1.0 13.6 17.2
Abdominal circumference, mm-Asian
11 6.2 6.8 9.3 12.0 12.7
12 6.5 7.3 10.3 13.5 14.5
13 6.5 7.5 11.1 14.9 16.1
14 6.2 7.4 11.6 16.1 17.5
15 5.7 7.0 11.9 17.1 18.7
16 5.0 6.5 12.0 17.9 19.7
17 4.1 5.8 12.0 18.6 20.5
18 3.1 5.0 11.9 19.1 21.2
19 2.2 4.2 11.7 19.6 22.0
20 1.3 3.5 11.6 20.2 22.7
21 0.4 2.7 11.5 20.7 23.4
22 −0.6 1.9 11.3 21.2 24.1
23 −1.6 1.1 11.1 21.6 24.7
24 −2.6 0.3 10.8 22.0 25.2
25 −3.5 −0.5 10.6 22.4 25.8
26 −4.4 −1.2 10.5 22.8 26.4
27 −5.2 −1.9 10.4 23.3 27.1
28 −5.9 −2.4 10.4 23.9 27.9
29 −6.5 −2.8 10.5 24.7 28.8
30 −7.1 −3.3 10.7 25.4 29.7
31 −7.8 −3.8 10.7 26.1 30.6
32 −8.6 −4.4 10.7 26.6 31.3
33 −9.5 −5.2 10.5 27.0 31.9
34 −10.5 −6.1 10.1 27.3 32.3
35 −11.6 −7.0 9.7 27.4 32.6
36 −12.7 −8.0 9.2 27.5 32.8
37 −13.7 −8.8 8.9 27.6 33.1
38 −14.5 −9.5 8.7 27.9 33.6
39 −15.1 −10.0 8.7 28.4 34.2
40 −15.7 −10.4 8.8 29.1 35.1
41 −16.1 −10.7 9.1 30.1 36.3
Femur length, mm-Asian
11 1.3 1.3 1.6 2.0 2.0
12 1.7 1.8 2.3 2.8 2.9
13 2.0 2.2 2.9 3.6 3.8
14 2.1 2.4 3.3 4.3 4.6
15 2.0 2.3 3.5 4.8 5.2
16 1.6 2.0 3.4 5.0 5.5
17 1.1 1.5 3.2 5.1 5.6
18 0.5 1.1 3.0 5.1 5.7
19 0.1 0.7 2.8 5.2 5.9
20 −0.2 0.4 2.8 5.4 6.1
21 −0.5 0.2 2.8 5.6 6.4
22 −0.8 −0.1 2.7 5.7 6.6
23 −1.1 −0.3 2.7 5.9 6.9
24 −1.5 −0.6 2.6 6.0 7.0
25 −1.8 −0.9 2.5 6.1 7.2
26 −2.1 −1.1 2.4 6.2 7.4
27 −2.4 −1.4 2.3 6.3 7.5
28 −2.7 −1.7 2.2 6.4 7.7
29 −3.0 −1.9 2.2 6.6 7.9
30 −3.2 −2.1 2.1 6.7 8.0
31 −3.5 −2.3 2.1 6.8 8.2
32 −3.7 −2.5 2.0 6.9 8.3
33 −4.0 −2.7 1.9 6.9 8.4
34 −4.3 −3.0 1.8 7.0 8.6
35 −4.5 −3.2 1.8 7.1 8.7
36 −4.7 −3.4 1.7 7.1 8.8
37 −5.0 −3.6 1.6 7.2 8.8
38 −5.2 −3.8 1.5 7.2 8.9
39 −5.5 −4.0 1.4 7.2 9.0
40 −5.7 −4.2 1.3 7.2 9.0
41 −6.0 −4.5 1.2 7.3 9.1
Humerus length, mm-Asian
11 1.3 1.4 1.7 2.1 2.2
12 1.8 1.9 2.4 2.9 3.1
13 2.0 2.2 2.9 3.7 4.0
14 2.1 2.4 3.3 4.4 4.7
15 1.9 2.2 3.4 4.8 5.2
16 1.4 1.8 3.3 4.9 5.4
17 0.9 1.3 3.0 4.9 5.4
18 0.3 0.8 2.7 4.8 5.4
19 −0.2 0.4 2.5 4.8 5.4
20 −0.5 0.1 2.4 4.9 5.6
21 −0.8 −0.1 2.4 5.0 5.8
22 −1.0 −0.3 2.3 5.2 6.0
23 −1.3 −0.6 2.2 5.3 6.2
24 −1.6 −0.8 2.2 5.4 6.3
25 −1.9 −1.1 2.1 5.4 6.5
26 −2.2 −1.3 2.0 5.5 6.6
27 −2.5 −1.5 1.9 5.6 6.7
28 −2.7 −1.8 1.8 5.6 6.8
29 −3.0 −2.0 1.7 5.7 6.9
30 −3.2 −2.2 1.6 5.7 7.0
31 −3.4 −2.4 1.5 5.8 7.0
32 −3.6 −2.5 1.5 5.8 7.1
33 −3.8 −2.7 1.4 5.9 7.2
34 −4.0 −2.9 1.4 6.0 7.3
35 −4.2 −3.0 1.3 6.0 7.4
36 −4.3 −3.1 1.3 6.1 7.5
37 −4.5 −3.3 1.2 6.1 7.6
38 −4.7 −3.5 1.1 6.1 7.6
39 −5.0 −3.7 1.0 6.1 7.6
40 −5.2 −4.0 0.8 6.0 7.5
41 −5.5 −4.2 0.6 5.9 7.4
Estimated fetal weight, g-Asian
11 5 5 9 13 14
12 6 7 11 16 17
13 8 9 14 20 22
14 10 11 18 26 28
15 12 14 23 32 35
16 14 17 28 40 43
17 17 21 34 49 54
18 20 25 42 60 65
19 23 28 49 72 78
20 25 32 57 85 93
21 27 35 66 99 109
22 29 38 75 114 126
23 30 41 84 131 145
24 31 44 95 149 166
25 31 47 105 169 188
26 30 49 117 191 213
27 30 51 129 214 239
28 28 52 142 239 267
29 26 54 155 265 298
30 23 54 169 294 331
31 17 52 182 322 364
32 9 48 193 350 397
33 −2 41 201 376 428
34 −18 30 207 399 457
35 −37 15 209 419 482
36 −58 −2 208 437 505
37 −82 −21 206 452 526
38 −106 −40 203 466 545
39 −131 −61 198 479 564
40 −157 −83 193 492 582
41 −184 −105 187 506 601

Week corresponds to exact week (eg, 11 wk = 11.0 wk).

Estimated fetal weight was calculated using Hadlock et al.9

TABLE 2.

Pairwise race/ethnic P values for weekly fetal growth velocity of anthropometric measurements by gestational age, Eunice Kennedy Shriver National Institute of Child Health and Human Development fetal growth studies

Gestational age, wk Global Asian vs
black
Asian vs
Hispanic
Asian vs
white
Black vs
Hispanic
Black vs
white
Hispanic vs
white
Biparietal diameter, mm
11 1.0000 .8700 .3722 .4844 .1754 .2406 .7532
12 1.0000 .8621 .2940 .3628 .2407 .3026 .7886
13 1.0000 .4863 .1978 .2134 .3820 .4208 .8577
14 .3837 .1052 .0900 .0640 .7804 .7155 .9782
15 .0051 .0009 .0151 .0022 .2994 .5838 .5565
16 .0031 .0005 .0431 .0027 .0753 .4018 .2896
17 .7162 .1194 .7091 .2052 .1879 .6941 .3228
18 1.0000 .8817 .5604 .8132 .6109 .6490 .3322
19 .2141 .0357 .1141 .4514 .5572 .0815 .2853
20 .0968 .0161 .0255 .2010 .8859 .1396 .2044
21 .2925 .2149 .0487 .3500 .4064 .6878 .2015
22 .7600 .8122 .2258 .7177 .1267 .5191 .3308
23 .3534 .1917 .6449 .9282 .0589 .1771 .5391
24 .2096 .0478 .9633 .7395 .0349 .0638 .7530
25 .0817 .0136 .7017 .6669 .0216 .0209 .9650
26 .0229 .0038 .5295 .6818 .0126 .0048 .7972
27 .0042 .0012 .4195 .8237 .0083 .0007 .5079
28 .0027 .0036 .4245 .7966 .0216 .0004 .2414
29 .0718 .1315 .6855 .4086 .2176 .0120 .1674
30 .3755 .4884 .9138 .2870 .5220 .0626 .1953
31 .4262 .5810 .9182 .2534 .6270 .0710 .1762
32 .1607 .3751 .7426 .2421 .5514 .0268 .1076
33 .0068 .0514 .3441 .2826 .2952 .0011 .0310
34 .0006 .0016 .0679 .6914 .1218 <.0001 .0127
35 .0266 .0044 .0753 .6790 .1922 .0052 .1113
36 .0323 .0054 .0766 .3828 .2523 .0327 .3145
37 .0099 .0016 .0448 .1390 .2095 .0652 .5580
38 .2100 .0350 .1725 .0952 .3721 .5118 .7721
39 1.0000 .6468 .8073 .3893 .8062 .6976 .4979
40 1.0000 .8580 .8528 .6465 .9986 .4927 .4767
41 1.0000 .6449 .7087 .7924 .9188 .4299 .4831
Head circumference, mm
11 .1044 .3068 .5486 .4107 .7279 .0174 .1152
12 .1577 .5337 .5668 .2943 .9669 .0263 .0721
13 .1792 .9936 .5869 .1602 .4925 .0507 .0299
14 .0240 .2477 .6064 .0411 .0546 .1809 .0040
15 .0002 .0007 .6280 .0012 <.0001 .7234 <.0001
16 .0003 <.0001 .7648 .0038 <.0001 .1247 .0032
17 .0806 .0198 .8082 .2700 .0134 .1795 .1923
18 1.0000 .6399 .6275 .9985 .3132 .5983 .5907
19 .5930 .0988 .2730 .2660 .6614 .5414 .9287
20 .4231 .0983 .1749 .0705 .8705 .8012 .7091
21 .5842 .8867 .5106 .1075 .5617 .0974 .3515
22 .0575 .1734 .8401 .2788 .2561 .0096 .1995
23 .0129 .0210 .4293 .5586 .1499 .0022 .1590
24 .0044 .0043 .2681 .7774 .1027 .0007 .1442
25 .0015 .0013 .2051 .8839 .0722 .0003 .1308
26 .0004 .0006 .1882 .8792 .0484 <.0001 .1138
27 .0001 .0005 .2291 .7403 .0342 <.0001 .0999
28 .0011 .0074 .4741 .4684 .0550 .0002 .1316
29 .1850 .3117 .8731 .2831 .2445 .0308 .3725
30 1.0000 .9442 .4888 .2594 .4513 .2342 .7318
31 1.0000 .8676 .3966 .2785 .4879 .3619 .9037
32 1.0000 .9499 .4210 .3264 .3788 .2827 .9471
33 .4473 .3174 .6546 .4916 .1612 .0745 .8640
34 .0673 .0149 .5943 .9001 .0638 .0112 .6459
35 .0452 .0075 .2321 .4401 .1512 .0300 .5755
36 .0548 .0091 .1619 .3727 .2883 .0630 .5280
37 .1113 .0186 .1286 .4929 .5004 .0771 .3483
38 1.0000 .6548 .4691 .7732 .7725 .4323 .2806
39 1.0000 .3282 .8306 .3952 .4663 .8303 .5600
40 .9307 .1551 .5849 .3265 .4227 .5929 .7294
41 .6551 .1092 .4896 .3044 .4160 .5091 .8135
Abdominal circumference, mm
11 1.0000 .8308 .9676 .5573 .7650 .6459 .4506
12 1.0000 .9908 .9633 .5559 .9651 .4251 .4385
13 .9382 .7016 .9650 .5415 .6829 .1564 .4158
14 .0376 .2731 .9886 .4919 .1771 .0063 .3738
15 <.0001 .0114 .8970 .3648 .0016 <.0001 .3525
16 .0011 .0034 .6498 .3729 .0009 .0002 .6678
17 .0428 .0576 .5783 .4974 .0117 .0071 .9101
18 .1753 .2909 .4829 .4061 .0490 .0292 .9082
19 .1602 .7728 .2996 .1623 .0919 .0267 .6953
20 .0030 .7069 .1699 .0233 .0253 .0005 .2835
21 <.0001 .3753 .1697 .0031 .0110 <.0001 .0715
22 <.0001 .2455 .2767 .0024 .0201 <.0001 .0391
23 .0005 .2351 .4399 .0072 .0448 <.0001 .0460
24 .0019 .2677 .5565 .0185 .0783 .0003 .0638
25 .0056 .3312 .5951 .0324 .1133 .0009 .0892
26 .0162 .4546 .5500 .0436 .1511 .0027 .1320
27 .0851 .7443 .4135 .0536 .2196 .0142 .2430
28 .6160 .6704 .2438 .1027 .4563 .2269 .6531
29 1.0000 .2725 .1864 .3626 .9077 .7321 .6024
30 .8562 .1782 .1427 .5534 .9869 .3626 .3096
31 .6473 .1353 .1079 .5608 .9671 .2890 .2425
32 .4196 .0961 .0699 .4412 .9133 .2997 .2360
33 .2232 .0706 .0372 .2108 .7948 .4893 .3274
34 .4633 .2284 .0814 .0772 .6738 .7192 .9238
35 .8970 .7576 .5156 .1495 .7684 .3127 .4355
36 1.0000 .9008 .9086 .2699 .9883 .3362 .3061
37 1.0000 .8034 .7533 .5031 .5621 .6801 .2956
38 1.0000 .6087 .5031 .6442 .2275 .2993 .7835
39 .7977 .6293 .6215 .3334 .3189 .1330 .6418
40 .7461 .6572 .7208 .2985 .4115 .1244 .4881
41 .7577 .6710 .7802 .2947 .4692 .1263 .4309
Femur length, mm
11 .0677 .7544 .0443 .0211 .0354 .0113 .8232
12 .1058 .3783 .0277 .0176 .0898 .0540 .9548
13 .0761 .0711 .0127 .0136 .3234 .3901 .8257
14 .0023 .0004 .0028 .0098 .6259 .1624 .4475
15 <.0001 <.0001 .0001 .0129 <.0001 <.0001 .0564
16 <.0001 <.0001 .0047 .6480 <.0001 <.0001 .0195
17 <.0001 <.0001 .7999 .2277 <.0001 <.0001 .1160
18 <.0001 .0083 .3346 .0686 <.0001 <.0001 .3191
19 .0066 .6576 .0486 .0242 .0032 .0011 .6993
20 .0323 .8393 .0161 .0138 .0062 .0054 .8911
21 .0372 .5977 .0981 .0553 .0137 .0062 .7362
22 .1869 .2231 .6663 .3975 .0799 .0311 .6479
23 .6597 .1099 .5377 .8651 .2800 .1334 .6407
24 .4515 .0752 .2021 .3905 .5419 .3182 .6720
25 .3542 .0590 .0907 .1825 .7704 .5352 .7255
26 .2872 .0484 .0479 .0867 .9433 .7638 .8101
27 .1946 .0454 .0324 .0410 .9382 .9788 .9595
28 .1976 .0896 .0572 .0329 .9003 .6964 .7787
29 .9440 .4461 .4041 .1573 .9934 .5576 .5253
30 1.0000 .9679 .8773 .6329 .8451 .6681 .4961
31 1.0000 .8117 .5661 .9905 .7522 .8134 .5570
32 1.0000 .7681 .4712 .7552 .6836 .9929 .6816
33 1.0000 .9286 .5574 .5813 .6217 .6445 .9873
34 1.0000 .5875 .8561 .5643 .6910 .2564 .4182
35 1.0000 .3766 .3746 .8400 .9334 .2497 .2317
36 1.0000 .3621 .2651 .9749 .8913 .3622 .2610
37 1.0000 .4336 .2203 .7604 .6869 .6282 .3597
38 1.0000 .9989 .5483 .5229 .5405 .5147 .9635
39 1.0000 .5735 .8323 .6210 .6906 .2680 .4377
40 1.0000 .4753 .6192 .7083 .7876 .2579 .3494
41 1.0000 .4412 .5355 .7560 .8388 .2645 .3249
Humerus length, mm
11 .3523 .8522 .9748 .0897 .8640 .0587 .0596
12 .4189 .4144 .7705 .0698 .5673 .2104 .0872
13 .2874 .0685 .4913 .0479 .2117 .8825 .1554
14 .0014 .0002 .1672 .0262 .0099 .0332 .4058
15 <.0001 <.0001 .0053 .0145 <.0001 <.0001 .4808
16 <.0001 <.0001 .0005 .2998 <.0001 <.0001 .0119
17 <.0001 <.0001 .1189 .5098 .0003 <.0001 .0196
18 .0002 .0270 .9100 .1355 .0213 <.0001 .0761
19 .1350 .5740 .1227 .0225 .2230 .0335 .3957
20 .0236 .1059 .0096 .0039 .2037 .1023 .7333
21 .1770 .6654 .0737 .0295 .1204 .0455 .6738
22 .2829 .3267 .6413 .3886 .1232 .0472 .6761
23 .3042 .0507 .5096 .7372 .1646 .0759 .7170
24 .0746 .0124 .1747 .2710 .2111 .1147 .7592
25 .0282 .0047 .0751 .1164 .2474 .1510 .7939
26 .0142 .0024 .0411 .0620 .2711 .1810 .8244
27 .0122 .0020 .0328 .0458 .2942 .2157 .8600
28 .0648 .0108 .0756 .0857 .3803 .3213 .9214
29 1.0000 .3090 .5374 .5142 .6422 .6384 .9888
30 1.0000 .8860 .7291 .7179 .8420 .8342 .9977
31 1.0000 .5173 .4540 .3856 .9344 .8515 .9151
32 1.0000 .3838 .3702 .2357 .9919 .7674 .7710
33 .9431 .4136 .4388 .1572 .9584 .5439 .5057
34 1.0000 .9482 .9838 .2642 .9293 .2926 .2269
35 1.0000 .4772 .4080 .8617 .9449 .3401 .2673
36 1.0000 .3853 .2932 .8566 .8788 .4643 .3570
37 1.0000 .5503 .3059 .7773 .6714 .7440 .4462
38 1.0000 .5990 .8527 .9143 .4530 .4904 .9278
39 1.0000 .2790 .5729 .8837 .5666 .3029 .6436
40 1.0000 .2338 .4292 .8118 .6529 .3053 .5528
41 1.0000 .2210 .3775 .7791 .6989 .3171 .5256
Estimated fetal weight, g
11 .3754 .2569 .2183 .0626 .8540 .4098 .5770
12 .5213 .2988 .2594 .0869 .8554 .4283 .6045
13 .9086 .3690 .3420 .1514 .8858 .5089 .6700
14 1.0000 .5153 .5608 .4171 .9850 .8502 .8572
15 1.0000 .9312 .6757 .3281 .5632 .1949 .5712
16 .0018 .5595 .0422 .0003 .2207 .0102 .1486
17 .0013 .6562 .0410 .0002 .1289 .0020 .1094
18 .0005 .9288 .0741 .0004 .0452 <.0001 .0745
19 <.0001 .2445 .1402 .0004 .0023 <.0001 .0241
20 <.0001 .0143 .2582 <.0001 <.0001 <.0001 .0012
21 <.0001 .0007 .4784 <.0001 <.0001 <.0001 <.0001
22 <.0001 .0005 .8811 .0002 .0002 <.0001 .0002
23 <.0001 .0013 .8340 .0047 .0021 <.0001 .0017
24 <.0001 .0033 .7138 .0243 .0082 <.0001 .0066
25 <.0001 .0059 .6973 .0506 .0150 <.0001 .0147
26 <.0001 .0088 .7779 .0593 .0163 <.0001 .0242
27 <.0001 .0165 .9797 .0437 .0126 <.0001 .0398
28 .0003 .0951 .5342 .0330 .0175 <.0001 .1210
29 .1261 .6678 .2204 .0666 .0934 .0210 .5557
30 .5364 .7215 .0894 .0926 .1942 .2092 .8980
31 .3154 .5145 .0526 .0877 .2145 .3350 .7072
32 .2157 .4886 .0360 .0580 .1668 .2593 .7192
33 .1579 .7137 .0376 .0263 .0856 .0663 .9937
34 .0638 .5909 .2599 .0446 .0973 .0106 .4040
35 .2008 .2982 .8518 .3011 .3762 .0335 .2027
36 .6105 .2515 .3986 .6656 .7519 .1017 .1847
37 1.0000 .2600 .1703 .9394 .8087 .2659 .1704
38 1.0000 .7451 .2485 .5176 .4104 .7748 .5296
39 1.0000 .7357 .7016 .5292 .4702 .3194 .8294
40 1.0000 .5711 .9765 .5935 .5525 .2548 .6171
41 1.0000 .5050 .8829 .6399 .6076 .2406 .5359

Week corresponds to exact week (eg, 11 wk = 11.0 wk).

P values obtained by Wald test with adjustment for maternal age, height, weight, parity, job, marital status, insurance, income, education, and infant sex.

In clinical practice, patients may be seen at unpredictably spaced time intervals. Therefore, we created a calculator for any given set of 2 GAs and anthropometric measurements, where the EFW growth velocity with corresponding percentiles for a given fetus can be computed (Appendix). Table 3 presents an example for different scenarios for 2 ultrasounds obtained at 28–32 weeks, respectively, by self-reported maternal race/ethnicity. The results demonstrate that a fetus could have arrived at a given EFW at 32 weeks from different EFW growth velocities. If the change percentile is very small (eg, <5%) it is interpreted as no change in the measurement is unlikely in a healthy population, suggesting that this degree of fetal growth velocity may be problematic.

TABLE 3.

Example of different scenarios for 2 ultrasounds obtained between 28–32 weeks of gestation by self-identified maternal race/ethnicity

Non-Hispanic white
28 wk EFW 32 wk EFW EFW percentile at 32 wk Velocity percentile from 28–32 wk
1354 1960 50th 5th
1202 1960 50th 50th
1067 1960 50th 95th
Non-Hispanic black
28 wk EFW 32 wk EFW EFW percentile at 32 wk Velocity percentile from 28–32 wk
1292 1837 50th 5th
1134 1837 50th 50th
996 1837 50th 95th
Hispanic
28 wk EFW 32 wk EFW EFW percentile at 32 wk Velocity percentile from 28–32 wk
1317 1878 50th 5th
1150 1878 50th 50th
1005 1878 50th 95th
Asian and Pacific Islander
28 wk EFW 32 wk EFW EFW percentile at 32 wk Velocity percentile from 28–32 wk
1267 1830 50th 5th
1132 1830 50th 50th
1011 1830 50th 95th

EFW, estimated fetal weight.

To determine whether EFW growth velocity might provide information beyond cross-sectional measures, the correlation of growth velocity percentile with EFW percentile was assessed at 32 (±1) weeks of gestation for illustration (Figure 3). If the 2 measures were completely correlated, the points would line up in a 45-degree line on the figure. For all racial/ethnic groups, EFW growth velocity percentiles were not highly correlated with EFW size percentiles (Pearson r = 0.40—0.41, P < .001). Results were similar at 24, 28, 36, and 40 (± 1) weeks’ gestation indicating that this low correlation persisted across gestation (data not shown). These findings suggest that these measurements reflect different aspects of fetal growth, so we investigated whether velocity could add additional information compared to a single measure of EFW in the ascertainment of abnormal growth. We also compared whether maternal demographics, birthweight, and a composite neonatal morbidity differed by whether or not EFW and velocity separately were below or above their prospective 5th percentile using 32 weeks of gestation (SD 1.5) for illustrative purposes, a time when an obstetrical ultrasound might be obtained to evaluate fetal growth in clinical practice (Table 4). Maternal height was slightly higher when EFW was ≥5th compared to <5th percentile, an association that did not vary much by whether fetal growth velocity was <5th percentile or ≥5th percentile (P = .044). Maternal body mass index was slightly lower if either EFW or velocity alone were <5th percentile (22.8 and 22.6, respectively) compared to when they were concordantly <5th percentile or ≥5th percentile (23.7 and 23.5, respectively). Birthweight was lightest when both EFW and growth velocity were <5th percentile (2550 g) followed by when EFW was <5th percentile and velocity was ≥5th percentile (2867 g). This observation suggests that lighter birthweight is associated with both EFW <5th percentile and a slower growth velocity. Still for EFW >5th percentile, birthweight was lighter when velocity was <5th percentile compared to ≥5th percentile (3208 vs 3357 g, respectively, P < .001) underscoring that slower growth velocity will negatively impact birthweight. Composite neonatal outcomes did not statistically differ by the groups, although the numbers were small (Table 4).

FIGURE 3:

Estimated fetal weight (EFW) velocity percentile by EFW percentile by race/ethnicity and gestation,Eunice Kennedy Shriver National Institute of Child Health and Human Development fetal growth studies–singletons

FIGURE 3:

EFW velocity percentile (x-axis) by EFW percentile (y-axis) for standard at 32 (±1) weeks of gestation for illustration. There was variation for all percentiles across all race/ethnic groups indicating that there was very little correlation, which suggests that growth velocity could add additional information to single time measure of EFW.

TABLE 4.

Characteristics by fetal growth velocity and estimated fetal weight percentile category for pregnancies with ultrasound at mean of 32 SD 1.5 weeks of gestation

Characteristics Total
n = 1605
Velocity <5th percentile Velocity ≥5th percentile Pvalue
EFW <5th
percentile
n = 14
EFW ≥5th
percentile
n = 57
EFW <5th
percentile
n = 62
EFW ≥5th
percentile
n = 1472
Race/ethnicity, no. (%) .760
 Non-Hispanic white 458 (28) 2 (14)a 17 (30) 16 (26) 423 (29)
 Non-Hispanic black 387 (24) 4 (29) 12 (21) 17 (27) 354 (24)
 Hispanic 448 (28) 4 (29) 12 (21) 18 (29) 414 (28)
 Asian and Pacific Islander 312 (19) 4 (29) 16 (28) 11 (18) 281 (19)
Height, mean (SD), cm 163 (7) 160 (6) 164 (7) 161 (6) 163 (7) .044
Maternal prepregnancy BMI, mean (SD), kg/m2 23.4 (3) 23.7 (4) 22.6 (3) 22.8 (3) 23.5 (3) .046
Parity, no. (%) .152
 0 769 (48) 7 (50) 29 (51) 22 (36) 711 (48)
 1 576 (36) 3 (21) 23 (40) 30 (48) 520 (35)
 ≥2 260 (16) 4 (29) 5 (9) 10 (16) 241 (16)
Infant sex, no. (%) .305
 Male 834 (52) 7 (50) 31 (54) 25 (40) 771 (52)
 Female 771 (48) 7 (50) 26 (46) 37 (60) 701 (48)
Birthweight, mean (SD), kg 3325 (422)b 2550 (295) 3208 (382) 2867 (420) 3357 (405) <.001
Composite neonatal outcome,c no. (%) .632
 No 1536 (96) 14 (100) 53 (93) 59 (95) 1410 (96)
 Yes 69 (4) 0 (0) 4 (7) 3 (5) 62 (4)

Standard population as detailed in Buck Louis et al.6

BMI, body mass index; EFW, estimated fetal weight.

a

Because of rounding, percentages may not total 100;

b

Birthweight was available for 1443 neonates;

c

Neonatal morbidities included: metabolic acidosis (pH <7.1 and base deficit >12 mmol/L), neonatal intensive care unit stay >3 d, pneumonia, respiratory distress syndrome, persistent pulmonary hypertension, seizures, hyperbilirubinemia requiring exchange transfusion, intrapartum aspiration (meconium, amniotic fluid, blood), neonatal death, mechanical ventilation at term, necrotizing enterocolitis, hypoglycemia, hypoxic ischemic encephalopathy, periventricular leukomalacia, sepsis based on blood culture, bronchopulmonary dysplasia/chronic lung disease, retinopathy of prematurity, and birth injury.1317

Comment

We present fetal growth velocity for BPD, HC, AC, FL, HL, and EFW by maternal race/ethnicity to complement previously published fetal size standards.6,7 Fetal growth velocity was nonmonotonic, with an acceleration early in pregnancy peaking at 13 weeks of gestation for BPD, 14 weeks for HC, 15 weeks for FL and HL, and 16 weeks for AC. The BPD and HC had a second acceleration in midpregnancy (19–22 and 19–21 weeks, respectively) and AC in the early third trimester (27–31 weeks). Conversely, long bone velocity (FL and HL) continued to slow. EFW velocity continued to accelerate peaking at approximately 35 weeks of gestation. A model to compute fetal growth velocity percentiles for any given set of gestational week intervals was also developed, since weekly velocity charts may not be that clinically useful. While an EFW size <5th percentile at 32 weeks’ gestation was associated with smaller birthweight, birthweight was additionally influenced by the EFW velocity prior to that visit. Birthweight was lighter if the fetal growth velocity was <5th compared to ≥5th percentile. Furthermore, EFW growth velocity percentiles were not highly correlated with EFW size percentiles, indicating that these measurements reflect different aspects of fetal growth.

The finding that BPD and HC velocity first peaked in our study at 13 and 14 weeks of gestation, respectively, was similar to the BPD velocity peak at 13–16 weeks reported by Guihard- Costa et al19 in a study that included mixed (mostly cross-sectional and 25% with some longitudinal) measures. Similarly, they also found a second growth velocity acceleration for BPD. Our findings were somewhat different from the peak BPD velocity of 15–16 weeks of gestation reported in a longitudinal study by Fescina et al20 of 30 fetuses and from the peak BPD and HC velocity at 17–18 weeks reported in another study by Bertino et al21 of 238 low-risk, uncomplicated pregnancies delivering at term. Our finding that AC growth velocity increased in the first half of pregnancy until it peaked on average around 16 weeks of gestation, with a second acceleration from 27–31 weeks, was somewhat similar to the study by Guihard-Costa et al19 where abdominal transverse diameter peaked at 13–16 weeks, and again around 25–28 weeks of gestation. However, our findings differ from the peak AC velocity at 22 weeks of gestation reported by Bertino et al21 and 32–34 weeks reported by Fescina et al.20 The pattern of the long bone growth velocities increasing in the first half of pregnancy, peaking on average at 15 weeks of gestation, then steadily decreasing over the rest of gestation is also similar to the study by Bertino et al,21 although they found FL growth velocity peaked later around 20 weeks, and somewhat similar to the study by Guihard-Costa et al19 where FL growth velocity accelerated until 13–16 weeks of gestation, steadily decreased until 28 weeks, followed by an irregular decrease and then a rapid decrease >37 weeks. The differences in these results may be explained, in part, by differences in study populations. Modern ultrasound machines also have a narrower beam width accuracy resulting in shorter linear measurements, although it is unclear how this difference might affect velocity.22 We also used modern statistics that were flexible enough to demonstrate accelerations and decelerations in fetal growth velocity based on an approach from Cheon et al18 that differed from prior publications.

The direction of our findings on EFW are also generally consistent with a prior study in a single hospital in Scotland where EFW growth velocity peaked around 35 weeks of gestation, but the magnitudes were different.23 EFW growth velocity in our study was higher than reported in their investigation; for example at 35 weeks of gestation the EFW growth velocity was 230 g/wk in our non-Hispanic white group compared to 188 g/wk in the Scottish sample. These differences might be due to the inclusion of women with risk factors for fetal growth restriction in the Scottish sample, such as maternal smoking and pregnancy complications such as pre-term delivery, while our study included only women with uncomplicated pregnancies and optimal outcomes. In addition, our findings regarding the low correlation of EFW size with EFW growth velocity are somewhat similar, although their conclusions were based on comparing the difference (velocity) to the average of the 2 measurements. We also compared the 2 measures in a slightly different manner using the EFW measurement vs velocity from the previous visit.

The finding that fetal growth velocity was negative (representing measurement error) for the 5th and 10th percentiles for some of the anthropo-metric measurements at various gestational weeks suggests that assessing average weekly fetal growth velocity might be difficult in clinical practice. In light of these drawbacks, we have developed a calculator to compute fetal growth velocity with corresponding percentiles for a given fetus at any given set of gestational weeks, designed to enhance our assessment of fetal growth velocity. The calculator takes measurement error into account in a way by estimating the probability of how unusual fetal growth velocity is over a time period based on the NICHD fetal growth population. For very short intervals, detecting clinically meaningful changes is not possible since the measurement error in the measurements is larger than any reasonable change. For a larger interval, the clinically meaningful change would be larger and can more easily be separated from measurement error. Choosing the optimal interval is complicated and reflects the time of the measurements as well as the particular biometric measurement used. In particular cases, the calculator may be useful in making this decision.

For example, if we wanted to calculate what time interval is needed to identify delayed growth based on no change in EFW, we can use the calculator with different start and end times with no change in EFW over the interval. The percentile for change will decrease as the length of the interval is increased. When this change percentile is very small (for example <5%) it is interpreted as no change in the measurement is unlikely in a healthy population, suggesting that this degree of delay may be problematic. Future work is needed to determine the optimal time intervals for clinical management.

Some evidence suggests that growth velocity might be able to distinguish constitutionally small-for-GA fetuses from pathologic fetal growth restriction <10th percentile for EFW. In a prospective cohort study of 4512 women in the United Kingdom with research ultrasounds at 20, 28, and 32 weeks of gestation, for an EFW <10th percentile, neonatal morbidity (metabolic acidosis, 5-minute Apgar <7, or intensive neonatal care unit admission) was increased only if the fetal AC growth velocity was in the lowest decile compared to normal fetal growth velocity.5 Our findings also suggest that EFW growth velocity adds additional information over knowing fetal size alone and future work is needed to determine whether velocity can improve prediction of birthweight and neonatal outcomes over isolated fetal size estimates.

Limitations of our study reflect the observational design, including potential bias from the cohort selection or residual confounding. Also, we never observed the individual changes in growth per week, so the differences in size per week are extrapolated; however, the linear mixed models with cubic splines for the fixed effects and a cubic polynomial for the random effects are flexible enough to allow a robust calculation of growth at any point in gestation despite the fact that the percentage change in fetal weight differs at each gestational week and the time of the ultrasound examinations may be different in each patient. Further, model diagnostics demonstrated that major model assumptions such as the normality of the random effects and error distribution were met. The major strength of our study was the prospective collection of serial ultrasounds allowing the ability to assess fetal growth velocity in a racially/ethnically diverse obstetric cohort.

In summary, we provide fetal growth velocity data to complement our previous work on fetal growth size standards and have developed a calculator to compute fetal growth velocity with corresponding percentiles for a given fetus at any given set of gestational weeks. Preliminary findings suggest that EFW growth velocity adds additional information over knowing fetal size alone. Additional research is needed to determine whether an abnormal fetal growth velocity percentile identifies fetuses and neonates at increased risk for morbidity and mortality, particularly in the setting of an otherwise appropriate-for-GA EFW size.

AJOG at a Glance.

Why was this study conducted?

Identifying pregnancies with accelerated or diminished fetal growth is challenging and generally based on cross-sectional percentile estimates of fetal weight. Longitudinal growth velocity might improve identification of abnormally grown fetuses.

Key findings

We provide fetal growth velocity data to complement our fetal growth size standards and developed a calculator to compute fetal growth velocity. Estimated fetal weight growth velocity percentiles were not highly correlated with estimated fetal weight size percentiles, indicating that these measurements reflect different aspects of fetal growth. Preliminary findings suggest that growth velocity adds additional information over knowing fetal size alone.

What does this add to what is known?

Until recently, there has been a lack of prospective studies with diverse populations and repeated ultrasound measurements to calculate fetal growth velocity. A calculator to compute fetal growth velocity percentiles for any given set of gestational week intervals may be clinically useful.

Acknowledgment

The authors acknowledge the research teams at all participating clinical centers, including Christina Care Health Systems, University of California–Irvine, Long Beach Memorial Medical Center, Northwestern University, Medical University of South Carolina, Columbia University, New York Presbyterian Queens, Saint Peter’s University Hospital, University of Alabama at Birmingham, Women and Infants Hospital of Rhode Island, Fountain Valley Regional Hospital and Medical Center, and Tufts University. The authors also acknowledge C-TASC and the EMMES Corporations for providing data and imaging support for this multisite study. This work would not have been possible without the assistance of GE Healthcare Women’s Health Ultrasound for their support and training on the Voluson and Viewpoint products over the course of this study.

This research was supported by the Intramural Research Program of the Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health (contract numbers: HHSN275200800013C; HHSN275200800002I; HHSN27500006; HHSN275200800003IC; HHSN275200800014C; HHSN275200800012C; HHSN275200800028C; HHSN275201000009C).

Appendix

For a single longitudinal ultrasound measurement, we built a random effect model with cubic spline based on 3-knot points for fixed effects and cubic function for random effects as follow:

Yij*=θ0+θ1tij+θ2tij2+θ3tij3+θ4(tijδ1)+3+θ5(tijδ2)+3+θ6(tijδ3)+3+bi0+bi1tij+bi2tij2+bi3tij3+εij, (1)

where Yij* denotes log-transformed ultra­sound measurement, tij is the jth gestational age for ith women, (tijδk)+3=max(0,(tijδk)3) is the knot sequence with δ1 < δ2< δ3, (1,tij,tij2,tij3,(tijδ1)+3,(tijδ2)+3,(tijδ3)+3) is a truncated polynomial basis functions of degree 3, {θ0, θ1, θ2,#3, θ4, θ5, θ6)’ is a corresponding vector of parameters and describes the overall fetal growth with a cubic spline function, and bi = {bio, bi1, bi2, bi3)′ denotes the random effects, where j = 1, 2, …, ni, i = 1, 2, …, I, ni denotes the number of repeated time points for ith women, and I denotes the number of women. Further, we assume that the residual errors εij are distributed with independent normal distributions with mean 0 and variance σε2. The random effects are assumed to have mean 0 and be correlated with each other. The random effects are interpreted as individual departures in an individual’s growth curve relative to the average fetal growth curve in the population. Further, the use of the model in (1) allows us to compute the ratio and velocity of 2 ultrasound measurements as follows:

ri,jj=exp(Yij*^Yij*^)and
vi,jj=(ri,jj1)Yij/(tijtij),

where Yij is an original scaled ultrasound measurement at time Yij*^ is an estimated log-transformed ultrasound measurement at time tij, ri,jj′ is a ratio of 2 ultrasound measurements, and vi,jj′ is a velocity of 2 ultrasound measurements.

Footnotes

Disclosure: Dr Wing has been a consultant for Parsagen, for which she received no compensation. The other authors report no conflicts of interest. Drs Grantz, Grewal, Albert, Kim, and Buck Louis are US federal government investigators.

References

  • 1.Battaglia FC, Lubchenco LO. A practical classification of newborn infants by weight and gestational age. J Pediatr 1967;71:159–63. [DOI] [PubMed] [Google Scholar]
  • 2.ACOG. Fetal growth restriction. Practice bulletin no. 134. Obstet Gynecol 2013;121:1122–33. [DOI] [PubMed] [Google Scholar]
  • 3.Deter RL. Evaluation of intrauterine growth retardation in the fetus and neonate: are simpleminded methods good enough? Ultrasound Obstet Gynecol 1995;6:161–3. [DOI] [PubMed] [Google Scholar]
  • 4.Altman DG, Hytten FE. Intrauterine growth retardation: let’s be clear about it. Br J Obstet Gynaecol 1989;96:1127–32. [DOI] [PubMed] [Google Scholar]
  • 5.Sovio U, White IR, Dacey A, Pasupathy D, Smith GC. Screening for fetal growth restriction with universal third trimester ultra-sonography in nulliparous women in the Pregnancy Outcome Prediction (POP) study: a prospective cohort study. Lancet 2015;386:2089–97. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Buck Louis GM, Grewal J, Albert PS, et al. Racial/ethnic standards for fetal growth: the NICHD fetal growth studies. Am J Obstet Gynecol 2015;213:449.e1–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Buck Louis GM, Grewal J. Clarification of estimating fetal weight between 10–14 weeks gestation, NICHD fetal growth studies. Am J Obstet Gynecol 2017;217:96–101. [DOI] [PubMed] [Google Scholar]
  • 8.Grewal J, Grantz KL, Zhang C, et al. Cohort profile: NICHD fetal growth studies–singletons and twins. Int J Epidemiol 2018;47:25–25l. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Hadlock FP, Harrist RB, Sharman RS, Deter RL, Park SK. Estimation of fetal weight with the use of head, body, and femur measurements–a prospective study. Am J Obstet Gynecol 1985;151:333–7. [DOI] [PubMed] [Google Scholar]
  • 10.Hediger ML, Fuchs KM, Grantz KL, et al. Ultrasound quality assurance for singletons in the National Institute of Child Health and Human Development fetal growth studies. J Ultrasound Med 2016;35:1725–33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Pinheiro JC, Bates DM. Mixed-effects models in S and S-plus. New York (NY): Springer Science–Business Media New York. [Google Scholar]
  • 12.Sterne JA, White IR, Carlin JB, et al. Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. BMJ 2009;338:b2393. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Longo S, Bollani L, Decembrino L, Di Comite A, Angelini M, Stronati M. Short-term and long-term sequelae in intrauterine growth retardation (IUGR). J Matern Fetal Neonatal Med 2013;26:222–5. [DOI] [PubMed] [Google Scholar]
  • 14.Rosenberg A The IUGR newborn. Semin Perinatol 2008;32:219–24. [DOI] [PubMed] [Google Scholar]
  • 15.Giapros V, Drougia A, Krallis N, Theocharis P, Andronikou S. Morbidity and mortality patterns in small-for-gestational age infants born preterm. J Matern Fetal Neonatal Med 2012;25:153–7. [DOI] [PubMed] [Google Scholar]
  • 16.McIntire DD, Bloom SL, Casey BM, Leveno KJ. Birth weight in relation to morbidity and mortality among newborn infants. N Engl J Med 1999;340:1234–8. [DOI] [PubMed] [Google Scholar]
  • 17.King JR, Korst LM, Miller DA, Ouzounian JG. Increased composite maternal and neonatal morbidity associated with ultrasonographically suspected fetal macrosomia. J Matern Fetal Neonatal Med 2012;25:1953–9. [DOI] [PubMed] [Google Scholar]
  • 18.Cheon K, Albert PS, Zhang Z. The impact of random-effect misspecification on percentile estimation for longitudinal growth data. Stat Med 2012;31:3708–18. [DOI] [PubMed] [Google Scholar]
  • 19.Guihard-Costa AM, Droulle P, Larroche JC. Growth velocity of the biparietal diameter, abdominal transverse diameter and femur length in the fetal period. Early Hum Dev 1991;27:93–102. [DOI] [PubMed] [Google Scholar]
  • 20.Fescina RH, Ucieda FJ, Cordano MC, Nieto F, Tenzer SM, Lopez R. Ultrasonic patterns of intrauterine fetal growth in a Latin American country. Early Hum Dev 1982;6: 239–48. [DOI] [PubMed] [Google Scholar]
  • 21.Bertino E, Di Battista E, Bossi A, et al. Fetal growth velocity: kinetic, clinical, and biological aspects. Arch Dis Child Fetal Neonatal Ed 1996;74:F10–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Okland I, Bjastad TG, Johansen TF, Gjessing HK, Grottum P, Eik-Nes SH. Narrowed beam width in newer ultrasound machines shortens measurements in the lateral direction: fetal measurement charts may be obsolete. Ultrasound Obstet Gynecol 2011;38:82–7. [DOI] [PubMed] [Google Scholar]
  • 23.Owen P, Donnet ML, Ogston SA, Christie AD, Howie PW, Patel NB. Standards for ultrasound fetal growth velocity. Br J Obstet Gynaecol 1996;103:60–9. [DOI] [PubMed] [Google Scholar]

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