An ultrasound-based fetal weight reference for twins




Objective


The objective of the study was to construct an ultrasound-based estimated fetal weight-for-gestational-age reference for twin fetuses, stratified by chorionicity.


Study Design


We performed a retrospective cohort study of live-born nonanomalous twins delivered longer than 34 weeks at the Royal Victoria Hospital (Montreal, Canada). Fetal weight was estimated using ultrasound biometric measurements combined using Hadlock’s formula. Multilevel linear regression models were used to adjust for clustering by twin pregnancy and to account for the serial ultrasound measurements taken on each fetus. Based on this model, smoothed estimates of fetal weight were made for the third, 10th, 50th, 90th, and 97th percentiles of the fetal weight distribution. Fetal weight references were stratified by fetal chorionicity.


Results


A total of 642 twin fetuses with a total of 3078 ultrasound observations were included. Sixteen percent of the cohort was monochorionic. Fetal growth accelerated in the second trimester and continued in a linear pattern in the third trimester until term. As expected, the median weight for monochorionic twins was lighter than the median weight for dichorionic twins throughout pregnancy.


Conclusion


The reference values created in this study address serious methodological limitations of existing reference charts and thus provide an improved tool for assessing fetal growth in twin pregnancies. Importantly, dichorionic twins deviated from singleton reference charts at approximately 32 weeks, whereas monochorionic twins deviated at 28 weeks.


The rate of multiple pregnancies rose steadily in North America until it plateaued in 2009. In 2012, 1 in every 30 babies born in the United States was a twin. Twin pregnancies are at significantly increased risk for perinatal death, largely because of prematurity and fetal growth restriction. The identification of growth-restricted fetuses is a major emphasis of prenatal care in twin pregnancies.


Optimal fetal growth in twins remains inadequately defined. The median birthweight of twins is significantly lower than singletons beginning around week 30–32. Thus, if the growth trajectory of twins is followed on a singleton curve, the normal deceleration of growth in twins may be interpreted as pathological slowing if singleton curves are used. Moreover, there is evidence that optimal birthweights are lower for twins than for singletons, supporting the use of different reference charts to assess the growth of twins.


A number of population-based birthweight references have been generated for twins that chart birthweight for each completed week of gestation. Reference charts based on the weights of live births are known to have considerable bias, especially at lower gestational ages. Infants born at lower gestational ages are smaller, and less healthy, than their counterparts that remain in utero.


Given the limitations of birthweight reference standards, a number of ultrasound-based fetal weight standards have been constructed and adopted for the assessment of fetal growth in singletons. Few standards, however, have been developed for twins and those that have been published have significant methodological limitations. Published estimated fetal weight charts for twin pregnancies suffer from small sample sizes and inappropriate statistical modeling that fails to account for the correlation in fetal weight measurement between twins. Additionally, only a single study has differentiated growth patterns by chorionicity.


In this study, our objective was to construct an ultrasound-estimated fetal weight-for-gestational-age reference for twin fetuses, stratified by chorionicity that addressed the methodological concerns of previous studies.


Materials and Methods


Study population


We conducted a retrospective cohort study based on data from the Royal Victoria Hospital, a McGill University tertiary care teaching hospital in Montreal, Canada. Data from the hospital’s obstetrical ultrasound department were linked with maternal and newborn outcome data in the McGill Obstetrical and Neonatal Database, a quality-controlled electronic database that contains abstracted prenatal and postnatal clinical information on all women delivering at the Royal Victoria Hospital and their infants since 1978.


Data entry during the study period was performed by a single individual, contributing to the consistency of coding methods and data entry. Cases of uncertainty are referred for clarification to a staff obstetrician or neonatologist, who also remained constant during the study period. All women delivering live-born twins at the Royal Victoria Hospital between 1996 and 2006 were eligible for inclusion. Data for the periods between April 1, 1997, and March 31, 1998, and between April 1, 2000, and March 31, 2001, were missing because of a period of system upgrades during which no database entry occurred. Pregnancies in which at least 1 fetus had a congenital anomaly, had twin-twin transfusion syndrome, underwent spontaneous or iatrogenic fetal reduction, or lacked valid estimated fetal weight measurements (some obstetricians delivering at the Royal Victoria Hospital have ultrasounds performed elsewhere) were excluded from further analysis. Pregnancies delivering before 34 weeks or lacking an ultrasound-based estimate of gestational age were also excluded.


The study was approved by the McGill University Research Ethics Board.


Biometric measurements


Ultrasounds were performed by certified ultrasound technologists with subspecialty training in obstetrical ultrasound or physicians in maternal and fetal medicine with fellowship training in obstetrical ultrasound. Estimated fetal weight was calculated using Hadlock’s formulae.


For each fetus, we randomly sampled 1 estimated fetal weight measurement per month. This was done to avoid overinclusion of data from higher-risk pregnancies that had undergone a greater number of scans. In monochorionic twins, estimated fetal weights were sampled from each 2-week period to reflect the scanning frequency in uncomplicated monochorionic twin pregnancies. We did not include birthweight because it was unclear to what extent the fetus identified on ultrasound (ie, twin A vs twin B) would correspond with the birth order at delivery.


Gestational age


Gestational age in days at the time of ultrasound was calculated using last menstrual period confirmed or revised with early ultrasound. At the Royal Victoria Hospital, the last normal menstrual period estimate is used as long as it is in agreement within 10 days of the ultrasound estimate of gestational age.


Chorionicity


As per the recommendations of the Society of Obstetricians and Gynecologists of Canada, determination of chorionicity is ideally done by ultrasound between 10 and 14 weeks of gestation. The presence of a single placental mass in the absence of a lambda sign at the intertwin membrane-placental junction as seen on ultrasound is interpreted as indicative of monochorionicity, whereas twins are classified as dichorionic if a single placental mass is viewed on ultrasound and the lambda sign is also present. The determination of chorionicity was conducted according to these guidelines during the study period.


Statistical analysis


Our data set was hierarchical in nature, with repeated measurements of estimated fetal weight (EFW) for each fetus and clustering of twins born to the same mother. We accounted for these correlations when modeling the relationship between gestational age and EFW by using linear mixed models. We included random slopes and random intercepts for both mother (twin cluster) and fetus (serial EFW measurements). Prior to this, we examined the intraclass correlation coefficient to assess correlation because of clustering.


Fetal growth is known to be nonlinear over the course of pregnancy, with periods of accelerated growth in the second trimester and slower growth in the third trimesters. We used restricted cubic splines with 5 knots, as recommended by Harrell, to model fetal growth. Restricted cubic splines are piecewise segments of cubic polynomial functions, which provide a flexible tool to model smooth curves.


Estimated fetal weight measurements were log transformed to ensure that the assumptions of homoscedasticity of residual errors and normality of distribution of response variable were not violated. The final models were chosen based on the Akaike Information Criteria value, and the residual SEs, with lower values for each implying better fit. The estimations of the 3rd, 10th, 50th (median), 90th, and 97th percentile fetal weight values were made on the log scale and then backtransformed to the original fetal weight scale in grams.


The gestational age–specific variance was estimated by combining the estimated pregnancy level, fetus-level variance, and residual variance (formulae provided in detail elsewhere). This was done under the assumption that the distribution of log fetal weight values were normal at each gestational age. Separate models were built for dichorionic and monochorionic twins. We were able to predict fetal weight values only for the gestational period between 22 and 37 weeks because of a lack of sample size at gestational ages after week 37.


We examined the association between different maternal-fetal characteristics and fetal weight at different points in gestation (28, 32, and 36 weeks) by adding each characteristic to the model with an interaction term between the characteristic and gestational age (allowing the effects of the characteristic to vary throughout gestation). The effect at each age with 95% confidence intervals was estimated using the margins command. All statistical analyses were conducted in Stata version 13 (StataCorp, College Station, TX).




Results


The merged databases included 557 mothers and 1114 infants. We excluded pregnancies with a fetal loss or fetal reduction (n = 9), congenital abnormalities or twin-twin transfusion syndrome (n = 105), no valid estimates of fetal weights (n = 29), no early ultrasound-based estimate of gestational age (n = 40), or delivery before 34 weeks (n = 53). We excluded 1 weight observation that was deemed implausible for an infant who had a birthweight of 2925 g and was born at 37 weeks but who had been recorded as having a fetal weight of 177 g at 35 weeks. Furthermore, 17 observations were dropped because the gestational age estimate at the time of ultrasound was higher than the gestational age estimate at the time of birth.


The final sample size for analysis contained 321 mothers and 642 fetuses, with a total of 3078 ultrasound observations. There were a median of 5 estimated fetal weight measurements per fetus (interquartile range 4–6) in dichorionic twins and 7.5 (6–9) in monochorionic twins.


Maternal and fetal characteristics are displayed in Table 1 . Fifty-one percent of women were nulliparous, and approximately one third of the mothers conceived using some form of artificial reproductive technology. There were 102 monochorionic twins (16%). The average birthweight was 2638 g, and the median gestational age at birth was 37 ± 1 weeks.



Table 1

Maternal and fetal characteristics of twin pregnancies at the Royal Victoria Hospital, Montreal, Canada, 1996–2006











































Pregnancy characteristics Mean ± SD or n, %
Maternal age, y 33 ± 5.1
Nulliparous 165 (51.4)
Smoking during pregnancy 13 (4.0)
Pregnancy conceived through ART 112 (34.9)
Prepregnancy body mass index, kg/m 2 a 24.2 ± 4.8
Diabetes during pregnancy 45 (14.0)
Hypertensive disorders during pregnancy 39 (12.2)
Birthweight, g 2638 ± 408
Gestational age, wks plus d b 37 ± 1 (36 ± 2, 37 ± 6)
Delivery <37 wks 276 (43.0)
Female fetuses 334 (52.0)
Monochorionicity 102 (15.9)

ART , assisted reproductive technology.

Shivkumar. Fetal weight reference for twins. Am J Obstet Gynecol 2015 .

a In 273 pregnancies with available body mass index data


b Median with interquartile range.



Monochorionic twins were significantly lighter at birth (2471 g vs 2669 g; P < .001) than dichorionic twins, with a nonsignificant trend toward an increased risk of preterm delivery (51% vs 42% before 37 weeks, P = .08). Higher maternal age, use of assisted reproductive technology, higher prepregnancy body mass index, male sex, and dichorionicity were associated with significantly higher estimated fetal weights at 36 weeks ( Table 2 ). These factors were also statistically significant predictors at 28 and 32 weeks, although the magnitude of effect was smaller.



Table 2

Maternal and fetal characteristics associated with estimated fetal weight in twin pregnancies at the Royal Victoria Hospital, Montreal, Canada, 1996–2006






















































Pregnancy characteristics Estimated association with fetal weight at 28 wks (95% CI) Estimated association with fetal weight at 32 wks (95% CI) Estimated association with fetal weight at 36 wks (95% CI)
Maternal age, y 6.6 (3.9–9.3) 9.0 (5.9–12.1) 11.4 (7.8–14.9)
Nulliparous −17.1 (−44.9 to 10.7) −26.3 (−58.2 to 5.9) −35.4 (−72.4 to 1.5)
Smoking during pregnancy −40.7 (−103.9 to 22.6) −59.1 (−131.4 to 13.3) −77.5 (−161.1 to 6.2)
Pregnancy conceived through ART 36.7 (7.8–65.6) 52.4 (19.2–85.7) 68.2 (29.7–106.7)
Prepregnancy body mass index, a kg/m 2 4.4 (1.2–7.5) 7.0 (3.4–10.6) 9.6 (5.4–13.8)
Diabetes during pregnancy 10.0 (−29.8 to 49.8) 21.7 (−24.2 to 67.6) 33.4 (−19.6 to 86.5)
Hypertensive disorders during pregnancy 15.1 (−27.6 to 57.8) 14.3 (−34.8 to 63.4) 13.6 (−43.3 to 70.5)
Female fetuses −42.9 (−70.5 to −15.3) −63.0 (−94.7 to −31.2) −83.1 (−119.8 to −46.3)
Monochorionic twins −56.1 (−93.1 to −19.0) −84.7 (−127.3 to −42.1) −113.4 (−162.5 to −64.3)

ART , assisted reproductive technology; CI , confidence interval.

Shivkumar. Fetal weight reference for twins. Am J Obstet Gynecol 2015 .

a In 273 pregnancies with available body mass index.



There was a trend toward lower estimated fetal weights in nulliparous women and women who smoked, but this did not reach statistical significance at any of the gestational ages examined.


Modeling fetal growth


Our final models included random intercepts and random slopes for each pregnancy and each fetus. The model for monochorionic twins did not include a random slope at the pregnancy level as the full model failed to converge; this model included a random intercept only at the pregnancy level. Appendix, Supplementary Tables 1 and 2 shows the regression equations estimated by the linear mixed models by chorionicity.


As shown in Figure 1 , A and B, which superimposes the model estimates with the crude estimated fetal weight data, the model fit the data reasonably well, with 73.2% and 78.0% of observations falling within the estimated 1 SD for dichorionic and monochorionic twins, respectively. The smoothed weekly percentiles estimated by those models are presented in Tables 3 and 4 . The change in fetal weight accelerated near the second trimester and continued in a linear fashion until term gestation. As expected, monochorionic twins were consistently smaller than dichorionic twins ( Figure 2 ; 50th percentile weights of 2697 vs 2869 g at 37 weeks, respectively).




Figure 1


Observed estimated fetal weights with predicted mean and SD

The observed estimated fetal weights with predicted mean and SD superimposed in A , dichorionic and B , monochorionic twin fetuses at the Royal Victoria Hospital, Montreal, Canada, 1996–2006, are shown.

Shivkumar. Fetal weight reference for twins. Am J Obstet Gynecol 2015 .


Table 3

Smoothed percentiles of estimated fetal weight in dichorionic twins delivering at the Royal Victoria Hospital, Montreal, Canada, 1996–2006












































































































































Gestational age, wks n Third percentile 10th percentile Median fetal weight 90th percentile 97th percentile
22 102 397 434 522 628 685
23 98 466 508 609 731 796
24 94 539 587 702 840 914
25 96 633 687 820 979 1063
26 124 728 790 941 1120 1215
27 102 825 894 1063 1263 1369
28 120 942 1020 1210 1435 1555
29 115 1066 1154 1367 1620 1753
30 131 1200 1299 1537 1819 1968
31 93 1353 1463 1730 2046 2213
32 133 1508 1631 1929 2281 2467
33 139 1650 1785 2110 2496 2699
34 132 1797 1944 2300 2721 2944
35 94 1940 2100 2486 2943 3185
36 181 2097 2271 2691 3190 3454
37 86 2231 2417 2869 3404 3688

Shivkumar. Fetal weight reference for twins. Am J Obstet Gynecol 2015 .


Table 4

Smoothed percentiles of estimated fetal weight in monochorionic twins delivering at the Royal Victoria Hospital, Montreal, Canada, 1996–2006












































































































































Gestational age, wks n Third percentile 10th percentile Median fetal weight 90th percentile 97th percentile
22 38 407 437 508 590 633
23 26 472 506 589 685 736
24 44 550 591 689 803 863
25 18 633 681 795 929 999
26 54 721 776 908 1062 1143
27 26 803 866 1015 1190 1282
28 47 917 989 1163 1367 1475
29 38 1016 1097 1293 1524 1646
30 52 1156 1251 1479 1749 1891
31 30 1279 1385 1642 1947 2108
32 58 1412 1531 1821 2166 2349
33 28 1553 1687 2014 2404 2612
34 54 1675 1823 2183 2614 2844
35 31 1821 1985 2386 2869 3127
36 41 1945 2123 2561 3089 3372
37 5 2041 2230 2697 3261 3564

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May 6, 2017 | Posted by in GYNECOLOGY | Comments Off on An ultrasound-based fetal weight reference for twins

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