Abstract
Objectives
To compare the long-term effects of antenatal betamethasone (ANS, ≤16 mg, =24 mg and >24 mg) in twins on infant and childhood growth.
Methods
A retrospective cohort follow up study among 198 twins after ANS including three time points: U1 first neonatal examination after birth and in the neonatal period; U7 examination from the 21st to the 24th month of life and U9 examination from the 60th to the 64th month of life using data from copies of the children’s examination booklets. Inclusion criteria are twin pregnancies with preterm labor, cervical shortening, preterm premature rupture of membranes, or vaginal bleeding, and exposure to ANS between 23+5 and 33+6 weeks. Outcome measures are dosage-dependent and sex-specific effects of ANS on growth (body weight, body length, head circumference, body mass index and ponderal index) up to 5.3 years.
Results
Overall, 99 live-born twin pairs were included. Negative effects of ANS on fetal growth persisted beyond birth, altered infant and childhood growth, independent of possible confounding factors. Overall weight percentile significantly decreased between infancy and early childhood by 18.8%. Birth weight percentiles significantly changed in a dose dependent and sex specific manner, most obviously in female-female and mixed pairs. The ponderal index significantly decreased up to 42.9%, BMI index increased by up to 33.8%.
Conclusions
ANS results in long-term alterations in infant and childhood growth. Changes between infancy and early childhood in ponderal mass index and BMI, independent of dose or twin pair structure, might indicate an ANS associated increased risk for later life disease.
Synopsis
First-time report on long-term ANS administration growth effects in twin pregnancies, showing persisting alterations beyond birth in infant and childhood growth up to 5.3 years as potential indicator of later life disease risk.
Introduction
In pregnancies threatened with preterm birth, antenatal steroid (ANS) treatment to induce fetal lung maturation and to reduce neonatal morbidity and mortality is common practice [1] and appropriate alternatives currently do not exist [2]. We have previously shown that ANS treatment in normally grown singleton and twin pregnancies reduced in a dose-dependent and sex-specific manner fetal weight gain, length and head circumference compared with gestational age-matched controls [3], [4]. ANS doses escalation even increased the negative effects on fetal growth, but did not improve neonatal morbidity and mortality at birth. Although birth weight is only a rough surrogate marker for hormonal or nutritional changes in the intrauterine environment, impaired fetal growth is associated with a number of long-term developmental and health implications [5], [6]. Exposure to high levels of glucocorticoids in utero is amongst the proposed mechanisms of perinatal programming [5], [7], [8]. The implications for ANS are still not fully understood. There are still ongoing trials and research projects in singleton pregnancies, investigating all different kinds of aspects regarding ANS treatment such as which type of glucocorticoid and which formula should be used, which dosages and time intervals between injections are preferable, which gestational age would benefit most and what kind of long term implications are associated even with reduced ANS dosages [8].
In multiple pregnancies, the different pharmacokinetics of ANS compared to singletons, the increased total fetal mass and increased volume distribution in twins led to the discussion that the current glucocorticoid dose applied might be too low to induce fetal lung maturation [9], [10], [11], [12], [13]. The effects of antenatal lung maturation with glucocorticoids in multiple pregnancies still remains unclear as trials in twins are limited and evidence is lacking [1], [9], [10], [11], [12], [13], [14], [15]. Especially follow up studies on long term changes are missing.
Therefore, the present study’s objective was to investigate in twin pregnancies ANS dosage and sex-specific long-term effects on infant and child growth development up to 5.3 years of age.
Materials and methods
Prospective cohort study of twins born between December 1993 and January 2011 in a tertiary referral center at the Clinic of Obstetrics, Charité University Hospital Berlin, Germany. Details on the original birth cohort has been described previously [4]. Briefly, cases were defined as twin pregnancies with the diagnosis of preterm labor with symptomatic contractions and cervical ripening, premature rupture of membranes or vaginal bleeding and exposed to antenatal betamethasone (Celestan®, MSD GmbH, Haar, Germany) between 23 weeks plus five days of pregnancy (23+5 weeks) and 33+6 weeks and delivered between 25+0 and 36+6 weeks. Exclusion criteria were: high numbered multiple pregnancies, twin-to-twin transfusion syndrome, intrauterine death, malformations, chromosomal anomalies or other fetal or maternal diseases and pathological umbilical or uterine doppler findings. Fetuses with sonographically estimated fetal weight below the 10th centile at the time of the initial betamethasone treatment were defined as small for gestational age and excluded from the study to rule out possible growth restricting by an already existing placental insufficiency [4]. Estimated date of delivery was corrected by first trimester ultrasound when the difference between due dates by last period and that by early sonography was more than seven days.
Patients were contacted by telephone and post (Supplemental Material S1) and asked to participate in this follow up study. Follow-up examination included three time points: (U1) first neonatal examination after birth and neonatal period up to 10 days after birth (Supplemental Material S2) using data from the clinic charts, (U7) examination from the 21st to the 24th month of life and (U9) examination from the 60th to the 64th month of life using data from copies of the children’s examination booklets [16] sent back by the parents (Supplemental Material S3). For the documented anthropometric data, percentiles were calculated using the Ped (Z) pediatrician calculator [17]. This web calculator is based on data from Kromeyer-Hauschild et al. for pediatric percentiles of infants, children and adolescents for height, weight and BMI [18]. In addition, percentiles for 0–6 year old children were derived for a variety of somatic parameters according to Hesse et al. [19], [20], [21]. For the head circumference percentiles, the data of the ‘Zurich Longitudinal Studies’ (1955–2009) were used [22].
As reported previously, the protocol for steroid administration changed over time at our institution according to different local and international clinical recommendations in effect during the study period [4]. The betamethasone treatment regimen ranged from 2×8 mg (≤16 mg) or 2×12 mg (=24 mg) given once during pregnancy, to repeated doses of betamethasone (8 mg weekly or 2×12 mg every second week) when the diagnosis of preterm labor still persisted (collectively grouped as ≥24 mg). Betamethasone dosage effects were analyzed among three different dosages: ≤16 mg, 24 mg and >24 mg. Gender specificity was tested for male-male, female-female and mixed-pairs of twins. The Charité Hospital Ethics Review Committee approved the trial (EA2_111_15). All participants gave written informed consent before the study began.
Statistics
Crossed items in the sent copies of the children’s examination booklets were interpreted as true, unchecked items as inaccurate and thus transferred to an Excel database. Statistical analyzes were performed using the SPSS 25 software (IBM, SPSS Statistics, version 25, IBM Corporation, Armonk, NY, USA). Data were tested for normality assessing the histogram and using the Shaipiro-Wilks test. To analyze the long-term effects of antenatal betamethasone on anthropometrics (body weight, head circumference, body length, body mass index, tri-ponderal mass index [23] and body mass index), in terms of steady state characteristics, the unifactorial ANOVA with Kruskal-Wallis post hoc test was performed for two or more independent samples. For repeated measures a MANOVA and Friedman post hoc test was used to identify possible significant effects of different betamethasone dosages on growth trajectories (growth percentiles, ponderal index and body mass index) in follow up data between U1 and U9 time points. Data are reported as median and interquartile range or mean and standard deviation, as appropriate. Possible confounders were identified (Supplemental Material S4) and significant results were controlled for major confounders by analysis of covariance (ANCOVA). Statistical analyses were performed for overall, male-male, female-female and mixed-pairs. For all tests, statistical significance was set at p<0.05.
Results
Study population
In total, the response rate was 29.9% and 198 children of twin pregnancies, who had received antenatal betamethasone treatment and were born between 25+0 and 36+6 weeks of gestation, were included into the study (Figure 1). Seventy one (71.7%) women remained pregnant seven or more days after the initial betamethasone treatment. Sixty children (30.3%) were born after 34+0 weeks of gestation. Maternal characteristics (Supplemental Material S4) were not associated with the observed changes in anthropometrics after betamethasone exposure in multivariate analysis. Neither the number and distribution within the twin-pair structure nor its relation to the dosis-group was significant different (data not shown).

Patient recruitment and study cohort.
Overall effects
Overall weight percentile significantly decreased between U1 and U7/9 (U1: 45.5±28.1 centile vs. U9: 37.0±28.2 centile p=0.001; U7: 38.9±27.0 centile vs. U9: 37.0±28.2 centile p=0.027, Figure 2A). The length percentile increased between U7 and U9 (U7: 43.3±31.0 vs U9: 48.0±31.0 p=0.001). The ponderal index as a marker for fat levels, continuously decreased between U1, U7 and U9 (U1: 22.6±2.7 vs. U7: 18.3±1.9 vs. U9: 13.1±1.1 p<0.001, Figure 2D). The BMI index significantly increased between infancy and childhood (U1: 9.7±1.5 vs. U7: 15.7 ± 1.4 / U1 vs. U9: 14.6±1.3 p<0.001, Figure 2D).

(A–D) Effects of antenatal bethamethasone on growth trajectories.
Data were analyzed by MANOVA for repeated measures followed by Friedman post hoc test. Significant differences between time points are indicated by stars/crosses. Data are presented as mean±95%CI.
Dosage effects
Anthropometrics did not significantly differ at U1, U7 or U9 according to the betamethasone dose (Table 1). Betamethasone dose related changes in growth trajectories between U1 and U9 were observed. In children which had received ≤16 mg betamethasone during pregnancy, weight percentiles significantly decreased between U1 and U9 (Table 1). In children who had received 24 mg betamethasone, length percentiles significantly increased between U7 and U9 (p=0.037), but were still lower compared to U1 (p<0.001). Head circumference percentiles were not affected by the applied betamethasone dose and did not significantly change between U1 and U9 (Table 1). Similar to the observed overall patterns of body mass index and ponderal index (Figure 2D), in all three dosis regimes, ponderal index continuously decreased between U1 and U7 and U9 (p<0.001) and the body mass index significantly increased between U1 and U7 and U9 independent of the dose (Table 1).
Betamethasone dosage effects on anthropometrics.
U1 | ≤16 mg | 24 mg | >24 mg | p-Valuea |
---|---|---|---|---|
Weight, g+ | 1816.0±563.6 n=96 | 1745.7±(610.6) n=78 | 1746.0±480.9 n=24 | 0.830 |
Weight percentile++ | 44.2 (52.4)b n=96 | 42.1 (36.9) n=78 | 25.1 (52.9) n=24 | 0.210 |
Length, cm++ | 43.0 (5.0) n=87 | 43.0 (7.0) n=77 | 44.0 (4.0) n=21 | 0.406 |
Length percentile++ | 43.9 (53.7) n=87 | 48.9 (57.1)d n=77 | 51.4 (68.8) n=21 | 0.919 |
Head circ., cm++ | 31.0 (3.0) n=84 | 30.0 (5.0) n=75 | 31.0 (2.0) n=18 | 0.234 |
Head circ. percentile++ | 54.1 (56.4) n=84 | 51.1 (51.0) n=75 | 41.4 (55.4) n=18 | 0.436 |
Ponderal index++ | 22.8 (3.0)f n=87 | 22.2 (3.9)g n=77 | 22.3 (4.7)h n=21 | 0.138 |
BMI+ | 9.9±1.4j n=87 | 9.4±1.5k n=77 | 9.4±1.7l n=21 | 0.154 |
U7 | ≤16 mg | 24 mg | >24 mg | p-Valuea |
Weight, g+ | 11848.7±1507 n=95 | 11402.9±1383.5 n=76 | 11761.3±1383.5 n=23 | 0.181 |
Weight percentile++ | 38.0 (50.0)c n=95 | 33.0 (43.3) n=76 | 49.0 (47.0) n=23 | 0.118 |
Length, cm++ | 86.0 (5.0) n=95 | 85.0 (5.0) n=76 | 86.0 (7.0) n=23 | 0.390 |
Length percentile++ | 39.0 (55.0) n=95 | 31.5 (50.8)e n=76 | 43.0 (70.0) n=23 | 0.558 |
Head circ., cm+ | 48.3±1.8 n=93 | 48.0±1.9 n=76 | 48.9±1.7 n=23 | 0.172 |
Head circ. percentile++ | 35.0 (53.5) n=93 | 28.5 (55.8) n=76 | 64.0 (56.0) n=23 | 0.067 |
Ponderal index+ | 18.5±1.6f n=95 | 18.2±2.2g n=76 | 18.0±1.4i n=23 | 0.286 |
BMI+ | 15.9±1.3j n=95 | 15.5±1.6k n=76 | 15.6±1.0l n=23 | 0.185 |
U9 | ≤16 mg | 24 mg | >24 mg | p-Valuea |
Weight, g++ | 18100 (4150) n=85 | 18000 (3350) n=77 | 18900 (3800) n=23 | 0.682 |
Weight percentile++ | 27.0 (55.0)b,c n=85 | 33.0 (45.5) n=77 | 46.0 (57.0) n=23 | 0.826 |
Length, cm+ | 111.7±5.3 n=85 | 111.1±5.1 n=77 | 112.8±5.3 n=23 | 0.384 |
Length percentile++ | 40.0 (56.5) n=85 | 46.0 (49.0)d,e n=77 | 61.0 (65.0) n=23 | 0.311 |
Head circ., cm++ | 51.0 (2.0) n=14 | 51.0 (2.0) n=54 | 51.7 (3.6) n=8 | 0.701 |
Head circ. percentile++ | 45.0 (52.3) n=14 | 33.5 (46.3) n=54 | 62.5 (91.0) n=8 | 0.753 |
Ponderal index+ | 13.3±1.2f n=85 | 13.1±1.2g n=77 | 12.8±1.0h,i n=23 | 0.159 |
BMI++ | 14.8 (2.2)j n=85 | 14.5 (1.7)k n=77 | 14.4 (1.6)l n=23 | 0.379 |
Data presented as mean+ (standard deviation [SD]) and median++ (interquartile range [IQR]) for normally and non-normally distributed data, respectively. aKruskal–Wallis test, asymptomatic significance. Growth trajectories – weight percentile: ≤16 mg: MANOVA for repeated measures p<0.001 (Friedman’s two-way analysis of variance by ranks): bU1 vs. U9 p=0.001, cU7 vs. U9 p=0.012; Length percentile: 24 mg: MANOVA for repeated measures p<0.001 (Friedman’s two-way analysis of variance by ranks): dU1 vs. U9 p=0.037, eU7 vs. U9 p<0.001; Head circumference percentile: no sig. differences; Ponderal index: ≤16 mg: MANOVA for repeated measures p<0.001 (Friedman’s two-way analysis of variance by ranks): fU1 vs. U7 vs. U9 p<0.001; 24 mg: MANOVA for repeated measures p<0.001 (Friedman’s two-way analysis of variance by ranks): gU1 vs. U7 vs. U9 p<0.001; >24 mg: MANOVA for repeated measures p<0.001 (Friedman’s two-way analysis of variance by ranks): hU1 vs. U9 p<0.001, iU7 vs. U9 p<0.001, BMI ≤16 mg: MANOVA for repeated measures p<0.001 (Friedman’s two-way analysis of variance by ranks): jU1 vs. U7 vs. U9 p<0.001; 24 mg: MANOVA for repeated measures p<0.001 (Friedman’s two-way analysis of variance by ranks): kU1 vs. U7 vs. U9 p<0.001; >24 mg: MANOVA for repeated measures p<0.001 (Friedman’s two-way analysis of variance by ranks): lU1 vs. U7 vs. U9 p<0.005. Bold values indicate significant differences within dosis groups across time points U1 vs. U7 vs. U9.
Sex effects
Effects of antenatal betamethasone treatment on anthropometrics were sex dependent. Female-female twin pairs were significantly lighter and smaller (lower weight and length percentile at U1) and had a decreased ponderal index (U7) compared with mixed twin pairs, but were not significant different anymore at later time points (Table 2). Head circumference percentiles were significantly smaller in females compared to males at U7, which was consistent within the mixed twin pairs at U7 (Table 2). At U9, no sex dependent differences in anthropometrics could be observed.
Antenatal betamethasone and the effects of anthropometry with respect to twin pair structure.
U1 | Male-male | Female-female | Mixed | p-Valuea | Mixed | p-Valueb | |
---|---|---|---|---|---|---|---|
Male | Female | ||||||
Weight, g++ | 1755.0 (775) n=66 | 1782.5 (460) n=66 | 1907.5 (909) n=66 | 0.158 | 1932.5±677.1 n=33 | 1830.0±658.8 n=33 | 0.497 |
Weight percentile++ | 41.8 (46.6) n=66 | 29.7 (43.0)a n=66 | 52.0 (42.1)a,f,g n=66 | 0.009 | 59.9 (51.9)o n=33 | 45.1 (30.6) n=33 | 0.352 |
Length, cm++ | 42.0 (6.0) n=59 | 43.0 (5.0) n=64 | 44.0 (7.0) n=62 | 0.126 | 44.0 (7.0) n=31 | 44.0 (7.0) n=31 | 0.778 |
Length percentile++ | 36.8 (58.7) n=59 | 34.6 (56.6)d n=64 | 55.9 (52.3)b,i,j n=62 | 0.008 | 69.5 (38.6)p n=31 | 53.7 (49.3)r n=31 | 0.356 |
Head circ., cm++ | 30.0 (4.0) n=58 | 31.0 (3.0)k n=62 | 31.0 (4.0) n=57 | 0.312 | 31.0 (4.0) n=28 | 31.0 (4.0) n=29 | 0.469 |
Head circ. percentile++ | 50.3 (52.9) n=58 | 40.5 (53.4) n=62 | 63.0 (52.2) n=57 | 0.088 | 65.7 (57.7) n=28 | 53.4 (48.2) n=29 | 0.371 |
Ponderal index+ | 22.5±2.7l n=59 | 22.7±2.9m n=64 | 22.5±2.6n n=62 | 0.983 | 22.7±2.7t n=31 | 22.3±2.5u n=31 | 0.486 |
BMI+ | 9.5±1.5v n=59 | 9.6±1.3w n=64 | 9.8±1.7x n=62 | 0.309 | 10.0±1.7y n=31 | 9.7±1.7z n=31 | 0.251 |
U7 | Male-male | Female-female | Mixed | p-Valuea | Mixed | p-Valueb | |
---|---|---|---|---|---|---|---|
Male | Female | ||||||
Weight, g+ | 11811.8±1640.0 n=66 | 1138.6±1343.4 n=62 | 11776.8±1296.4 n=66 | 0.144 | 11834.4±1484.2 n=33 | 11719.2±1097.4 n=33 | 0.788 |
Weight percentile++ | 38.0 (49.3) n=66 | 37.5 (46.3)e n=62 | 38.0 (47.0)f n=66 | 0.940 | 34.0 (51.5) n=33 | 44.0 (37.5) n=33 | 0.488 |
Length, cm++ | 86.2 (6.1) n=66 | 86.0 (5.0) n=62 | 85.0 (6.0) n=66 | 0.440 | 86.1±4.1 n=33 | 85.5±3.9 n=33 | 0.471 |
Length percentile++ | 36.0 (65.3) n=66 | 52.0 (46.8)h n=62 | 29.5 (50.5)i n=66 | 0.007 | 20.0 (58.0)p,q n=33 | 32.0 (43.5)r,s n=33 | 0.686 |
Head circ., cm++ | 49.0 (2.3)a n=66 | 47.2 (1.7)a n=60 | 48.0 (1.6) n=66 | <0.001 | 49.0 (1.7) n=33 | 48.0 (1.3) n=33 | 0.019 |
Head circ. percentile++ | 35.5 (56.8) n=66 | 30.5 (58.0) n=60 | 33.0 (42.5) n=66 | 0.821 | 31.0 (47.5) n=33 | 35.0 (41.5) n=33 | 0.500 |
Ponderal index+ | 18.5±2.2l n=66 | 17.7±1.4b,m n=62 | 18.6±1.7b,n n=66 | 0.006 | 18.5±1.7t n=33 | 18.8±1.6u n=33 | 0.270 |
BMI+ | 15.9±1.6c,v n=66 | 15.3±1.2c,d,w n=62 | 16.0±1.2d,x n=66 | 0.012 | 15.9±1.3y n=33 | 16.0±1.1z n=33 | 0.505 |
U9 | Male-male | Female-female | Mixed | p-Valuea | Mixed | p-Valueb | |
---|---|---|---|---|---|---|---|
Male | Female | ||||||
Weight, g++ | 18000.0 (4450.0) n=57 | 17900.0 (3775.0) n=64 | 18400.0 (3350.0) n=64 | 0.446 | 18550.0 (4225.0) n=32 | 18400.0 (2875.0) n=32 | 0.859 |
Weight percentile++ | 27.0 (59.5) n=57 | 31.0 (46.8)e n=64 | 35.0 (42.5)³ n=64 | 0.270 | 42.0 (46.8)o n=32 | 33.0 (47.0) n=32 | 0.615 |
Length, cm++ | 111.1 (6.8) n=57 | 112.0 (7.0) n=64 | 112.0 (9.1) n=64 | 0.995 | 111.5±5.9 n=32 | 111.6±5.7 n=32 | 0.982 |
Length percentile++ | 36.0 (57.0) n=57 | 46.0 (51.3)h n=64 | 51.5 (31.8)j n=64 | 0.560 | 45.5 (69.0)q n=32 | 57.0 (52.8)s n=32 | 0.865 |
Head circ., cm++ | 52.0 (2.5) n=25 | 51.0 (1.8) n=24 | 50.5 (1.0) n=27 | 0.126 | 50.6±2.1 n=14 | 50.3±1.2 n=13 | 0.375 |
Head circ. percentile++ | 61.0 (73.0) n=25 | 58.5 (52.8)k n=24 | 31.0 (38.0) n=27 | 0.443 | 38.4±29.7 n=14 | 38.6±26.2 n=13 | 0.685 |
Ponderal index++ | 13.4 (1.7)l n=57 | 12.8 (1.1)m n=64 | 13.2 (1.9)n n=64 | 0.115 | 13.2±1.2t n=32 | 13.6±1.5u n=32 | 0.506 |
BMI++ | 14.8 (2.3)v n=57 | 14.4 (1.4)w n=64 | 14.9 (1.4)x n=64 | 0.161 | 14.7±1.3y n=32 | 15.1±1.5z n=32 | 0.308 |
aKruskal-Wallis test, cpairwise comparison p=0.007, dpairwise comparison p=0.006. Data presented as mean+ (standard deviation [SD]) and median++ (interquartile range [IQR]) for normally and non-normally distributed data, respectively. aKruskal–Wallis test, asymptomatic significance. bMann Whitney U-test; Growth trajectories – weight percentile: female-female: MANOVA for repeated measures p=0.024 (friedman’s two-way analysis of variance by ranks): eU7 vs. U9 p=0.023; mixed MANOVA for repeated measures p=0.005 (friedman’s two-way analysis of variance by ranks): fU1 vs. U7 p=0.031, gU1 vs. U9 p=0.008; length percentile: female-female: MANOVA for repeated measures p=0.040 (friedman’s two-way analysis of variance by ranks): hU7 vs. U9 p=0.039; mixed MANOVA for repeated measures p<0.001 (friedman’s two-way analysis of variance by ranks): iU1 vs. U7 p<0.001, jU1 vs. U9 p<0.001; head circumference percentile: female-female: MANOVA for repeated measures p=0.021 (friedman’s two-way analysis of variance by ranks): kU1 vs. U9 p=0.017; ponderal index: male-male: MANOVA for repeated measures p<0.001 (friedman’s two-way analysis of variance by ranks): lU1 vs. U7 vs. U9 p<0.001; female-female: MANOVA for repeated measures p<0.001 (friedman’s two-way analysis of variance by ranks): mU1 vs. U7 vs. U9 p<0.001; mixed: MANOVA for repeated measures p<0.001 (friedman’s two-way analysis of variance by ranks): nU1 vs. U7 vs. U9 p<0.001; BMI: male-male: MANOVA for repeated measures p<0.001 (friedman’s two-way analysis of variance by ranks): vU1 vs. U7 vs. U9 p<0.05; female-female: MANOVA for repeated measures p<0.001 (friedman’s two-way analysis of variance by ranks): xU1 vs. U7 vs. U9 p<0.005, mixed: MANOVA for repeated measures p<0.001 (friedman’s two-way analysis of variance by ranks): yU1 vs. U7 vs. U9 p<0.005, Growth trajectories within mixed pairs – weight percentile: males: MANOVA for repeated measures p=0.023 (friedman’s two-way analysis of variance by ranks): oU1 vs. U9 p=0.018; length percentile: males: MANOVA for repeated measures p<0.001 (friedman’s two-way analysis of variance by ranks): pU1 vs. U7 p<0.001, qU7 vs. U9 p=0.001; females: MANOVA for repeated measures p=0.004 (friedman’s two-way analysis of variance by ranks): rU1 vs. U7 p=0.035, sU7 vs. U9 p=0.006; ponderal index: males: MANOVA for repeated measures p<0.001 (friedman’s two-way analysis of variance by ranks): tU1 vs. U7 vs. U9 p<0.05; females: MANOVA for repeated measures p<0.001 (friedman’s two-way analysis of variance by ranks): uU1 vs. U7 vs. U9 p<0.005; BMI: males: MANOVA for repeated measures p<0.001 (friedman’s two-way analysis of variance by ranks): yU1 vs. U7 vs. U9 p<0.01; females: MANOVA for repeated measures p<0.001 (friedman’s two-way analysis of variance by ranks): zU1 vs. U7 vs. U9 p<0.005. aKruskal-Wallis test, bpairwise comparison p<0.001,cpairwise comparison p=0.005, dpairwise comparison p=0.047, epairwise comparison p=0.018. Bold values indicate significant differences within dosis groups across time points U1 vs. U7 vs. U9.
Growth trajectories across the three time points significantly changed and weight percentiles in female-female pairs (U7 vs. U9) and mixed pairs (U1 vs. U7 and U1 vs. U9) significantly decreased (Table 2). Between U1 and U9, head circumference percentiles significantly increased in female-female pairs, but was not significantly different from male-male or mixed pairs. The ponderal index continuously decreased between U1 and U7 and U9, independent of twin pair structure. The body mass index significantly increased between U1 and U7 and decreased between U7 and U9, however still significantly higher compared to U1 (Table 2).
Combined effects
Analyzing the combined effect of antenatal betamethasone dose and twin pair structure on anthropometrics, birth weight percentiles significantly decreased only in the ≤16 mg dosis group in female-female pairs between U7 and U9 (Figure 3A). In the >24 mg group, weight percentiles significantly increased between U1 and U7 (Figure 3A). In male-male and mixed pairs, no significant differences in birth weight percentiles were observed. Body length percentiles significantly increased in female-female pairs between U1 and U7 in the ≤16 mg group. In mixed pairs, body length percentiles decreased between U1 and U7 in all three dosage groups, but significantly increased again between U7 and U9 in the 24 mg group (Figure 3B). In the male-male pairs no significant differences in body length percentiles were observed. Head circumference percentiles significantly increased only in female-female pairs received 24 mg betamethasone, no changes were observed in male-male or mixed pairs (Figure 3C).

(A–C) Effects of different antenatal bethamethasone dosages on growth trajectories with respect to twin-pair structure.
Data were analyzed by MANOVA for repeated measures followed by Friedman post hoc test. Significant differences between time points are indicated by stars/crosses. Head circumference percentiles in >24.
mg and mixed ≤16 mg are not shown due too low numbers. Data are presented as mean±95%CI.
The ponderal index as a measure of fat levels in childhood and adolescence significantly decreased between U1 and U9, independent of twin pair structure or betamethasone dose (Figure 3). In male-male and female-female pairs the ponderal index decreased up to 43.5%, in mixed pairs up to 41.8%. The BMI index however increased between U1 and U7, independent of twin pair structure and betamethasone dose (Figure 4). Between U7 and U9 body mass indices decreased again in ≤16 and 24 mg bethamethasone dosis groups, but still being higher compared to U1.

(A–B) Ponderal index (body weight in kg/height in m³) and BMI (body weight in kg/height in m2) in relation to betamethasone dosis group and twin pair structure.
Data were analyzed by MANOVA for repeated measures followed by Friedman post hoc test. Significant differences between time points are indicated by stars/crosses, data are mean±95%CI.
Discussion
To our knowledge, this is the first study to investigate long-term effects of different antenatal betamethasone doses in twin pregnancies. The fetal growth restricting effects of antenatal betamethasone treatment in this follow up study of the original twin-preterm birth cohort, persisted beyond birth and resulted in an alteration in infant and early childhood growth up to 5.3 years of age, independent of possible confounding factors. Birth weight percentiles significantly changed in a dose dependent and sex specific manner, most obviously in female-female and mixed pairs. Betamethasone associated changes between infancy and early childhood in ponderal mass index and BMI indicate an antenatal betamethasone associated increased risk for later life disease.
Previously, we have shown in singletons that betamethasone administration was associated with a dose-dependent reduction in birth weight, even after adjusting for major confounders, sex and gestational age at treatment [3]. A single course of betamethasone in pregnant women was related to a symmetrical growth reduction with significantly decreased birth weight (−18.2%), head circumference (−8.6%) and body length (−6.0%) [24]. Although birth weight is only a rough surrogate marker for hormonal or nutritional changes in the intrauterine environment, impaired fetal growth is associated with a number of long-term developmental and health implications [5], [6]. Also in twin pregnancy, antenatal glucocorticoid treatment reduced fetal weight gain, length and head circumference in a dose-dependent and sex-specific manner compared with gestational age-matched controls [4]. Betamethasone dose escalation increased the negative effects on birth weight, head circumference and length. Follow-up estimated fetal weight of normally grown fetuses revealed, that reduced weight gain was directly associated to betamethasone exposure and remained present in pregnancy in the pooled analysis of all twins up to six weeks after betamethasone exposure. Neonatal Apgar scores, umbilical cord blood gases and rates of breathing disturbances were not substantially improved after higher doses of betamethasone treatment and did not improve neonatal morbidity and mortality compared to gestational-age matched controls [4].
The reason for that is unknown. Different pharmacokinetics of betamethasone in multiple pregnancies when compared to singletons have been reported [13]. The half-life of betamethasone in mothers with twin pregnancies was significantly shorter than that in mothers with singleton pregnancies [13]. In addition, increased total fetal mass and increased volume distribution in twins led to the discussion that the current glucocorticoid dose applied might be to low [9], [10], [11], [12] and some guidelines even recommend repeat dosing of antenatal corticosteroids [25].
Now, for the first time we could demonstrate, that the negative effects of antenatal glucocorticoid treatment on fetal growth patterns persisted beyond. In this follow up study of the original twin-preterm birth cohort, antenatal glucocorticoid treatment significantly altered postnatal growth trajectories. Overall, weight percentiles significantly decreased between infancy and early childhood by up to 18.8% (U1 vs. U9 p=0.002). By analyzing the effects of different betamethasone doses, the decrease in birth weight and length percentiles between infancy and early childhood was most obvious in the ≤16 and 24 mg betamethasone dose group and not seen in the ≥24 mg betamethasone dose group. Taking the twin pair structure into account, birth weight percentiles did not change in male-male pairs. In line with our previous observations in singletons [3], [26] and twins [4], sex-specific strategies for adapting to changes in the uterine environment have been described [27] and the present study supports our antenatal findings, that female-female and mixed pairs experience more growth restriction in response to prenatal betamethasone than male-male pairs, which persisted beyond birth and early childhood. Only in female-female pairs which had received ≤16 mg bethamethasone, birth weight percentiles significantly decreased. ≥24 mg betamethasone actually increased weight percentiles in female-female pairs between U1 and U7 and let us speculate, that with regard to postnatal weight development, the dose of 24 mg antenatal betamethasone might be favorable to prevent growth alterations in preterm twin pregnancies.
Body length percentiles significantly increased overall between infancy and early childhood by up to 10.9% (U7 vs. U9 p=0.037). Body length percentiles in male-male pairs were unaffected by antenatal glucocorticoid treatment. However, in mixed pairs (U1 vs. U7, all three doses) antenatal glucocorticoid treatment resulted in a significant decrease in body length percentiles between U1 and U7, independent of the betamethasone dose.
The ponderal index is a relative stable measure of adipose tissue (fat) levels in childhood and adolescence [28]. Rapid gain in ponderal index in infancy has been associated with increased obesity and adverse later outcome such as cardiovascular disease [29], [30]. However, others reported less evidence for the changes in ponderal index in infancy but demonstrated a strong association of rapid BMI change between 8.5 and 10 years of age and associate risk for cardiovascular disease [31]. We therefore analyzed the ponderal index as well as the changes of BMI after antenatal betamethasone in infancy and early childhood up to the age of 5.3 years. Interestingly, the ponderal index significantly decreased between U1 and U9, independent of twin pair structure or betamethasone dose. The BMI index, however, increased between U1 and U9 (≤16 and 24 mg) and between U1 and U7 (≥24 mg), independent of twin pair structure, probably indicative of catch up growth in length. Between U7 and U9, BMI trajectories significantly decreased again in male-male and female pairs with ≤16 mg and mixed pairs with 24 mg. These opposite BMI and ponderal index trajectories between birth and the age of five in twins after antenatal betamethasone treatment were similarly observed earlier in singletons [32] and seem to follow within a 2x standard deviation the “physiological profile of normalization” of this index. Changes in BMI between 2 and 5 years have been reported to be strongly associated with later adiposity and Howe et al. suggested that BMI changes were also strongly associated with increased fat mass, as well as with a range of cardiovascular risk factors at age 15 [31].
We do acknowledge, that the BMI is associated with both lean and fat mass in young children, however, in infancy and childhood the BMI is an imperfect measure of adiposity. We therefore included the data for the ponderal index and evidence from other cohorts suggests that BMI has similar magnitudes of association to cardiovascular risk factors in childhood as does total fat mass assessed by DXA or waist circumference, suggesting that BMI may adequately assess adiposity in childhood [31].
There are limitations to our study. Uncontrolled data collection and selection bias may be present in the analyses. However, due our large sample size, these effects are unlikely to account for the differences observed. Although we used regression analysis to control for possible confounding variables, the multiple factors affecting growth make comparison of groups difficult and we acknowledge that additional factors affecting growth trajectories exist. Unique strengths of our study are the large sample size; the exclusion of fetuses with EFW <10th centile at the time of betamethasone treatment; our ability to differentiate between same-sex and mixed-sexed pairs; a broad gestational age range, including both very early and early preterm birth infants and the analysis of different betamethasone dosage regimens.
A web-based calculator was used to calculate the growth percentiles in our study. The reference data behind includes growth patterns only from singletons. However, it has been reported that differences in length/height, weight and BMI between twins and singletons decline during the first 2.5 years, but do not disappear completely. Part of these differences remains even after correcting for premature birth [33]. This has to be taken into consideration when referring to our growth percentiles. The only data, to our knowledge, on growth references for height, weight and body mass index for twins aged 0–2.5 years, have been published in 2008, but using data from twins born between 1986 and 1992, so almost 30 years ago [33]. Having in mind the world pandemic of maternal (and childhood) obesity, well known differences in ethnicity etc., we decided not to use them as control references. We rather used a study design which did not include growth data from respective reference controls (singleton or twin), then analyzing the effects on antenatal betamethasone on postnatal growth development in twins with respect to the dosage within the antenatal betamethasone group.
Conclusions
Antenatal betamethasone treatment in preterm twin pregnancies, to induce lung maturation and improve neonatal morbidity and mortality, resulted in impaired fetal growth and decreased birth weights. The negative effects on fetal growth persisted beyond birth and in infancy. Betamethasone treatment decreased growth trajectories and was associated with a decrease in ponderal index and increase in BMI index at 5.3 years of age. Most sensitive to antenatal betamethasone treatment were female-female and mixed pairs, 24 mg betamethasone appears to avoid respective growth alterations. This, however, should be proven in future investigations. Dose escalation, repetitive and high doses of betamethasone >24 mg betamethasone is not recommended. Further studies are needed to understand the mechanism of antenatal glucocorticoid treatment and its impact on long-term development and morbidity, considering the special needs in twin pregnancies.
Research funding: The study was supported by the “Stiftung für das behinderte Kind”, Schirmherrin Frau Dr. Ursula von der Leyen, Sitz Universitätsklinikum Bonn (UKB), Sigmund-Freud-Str. 25, 53127 Bonn, Germany.
Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
Competing interests: Authors state no conflict of interest.
Informed consent: Informed consent was obtained from all individuals included in this study.
Ethical approval: The Charité Hospital Ethics Review Committee approved the trial (EA2_111_15).
References
1. Roberts, D, Dalziel, S. Antenatal corticosteroids for accelerating fetal lung maturation for women at risk of preterm birth. Cochrane Database Syst Rev 2006;3:CD004454. https://doi.org/10.1002/14651858.CD004454.pub2.Search in Google Scholar PubMed
2. Justus, G, Sloboda, DM, Henrich, W, Plagemann, A, Dudenhausen, JW, Braun, T. Avoiding the prenatal programming effects of glucocorticoids: are there alternative treatments for the induction of antenatal lung maturation?. J Perinat Med 2015;43:503–23. https://doi.org/10.1515/jpm-2014-0295.Search in Google Scholar PubMed
3. Braun, T, Sloboda, DM, Tutschek, B, Harder, T, Challis, JR, Dudenhausen, JW, et al. Fetal and neonatal outcomes after term and preterm delivery following betamethasone administration. Int J Gynaecol Obstet 2015;130:64–9. https://doi.org/10.1016/j.ijgo.2015.01.013.Search in Google Scholar PubMed
4. Braun, T, Weichert, A, Gil, HC, Sloboda, DM, Tutschek, B, Harder, T, et al. Fetal and neonatal outcomes after term and preterm delivery following betamethasone administration in twin pregnancies. Int J Gynaecol Obstet 2016;134:329–35. https://doi.org/10.1016/j.ijgo.2016.02.016.Search in Google Scholar PubMed
5. Braun, T, Challis, JR, Newnham, JP, Sloboda, DM. Early-life glucocorticoid exposure: the hypothalamic-pituitary-adrenal axis, placental function, and long-term disease risk. Endocr Rev 2013;34:885–916. https://doi.org/10.1210/er.2013-1012.Search in Google Scholar PubMed
6. Moisiadis, VG, Matthews, SG. Glucocorticoids and fetal programming part 1: outcomes. Nat Rev Endocrinol 2014;10:391–402. https://doi.org/10.1038/nrendo.2014.73.Search in Google Scholar PubMed
7. McKinlay, CJ, Dalziel, SR, Harding, JE. Antenatal glucocorticoids: where are we after forty years?. J Dev Orig Health Dis 2015;6:127–42. https://doi.org/10.1017/s2040174414000579.Search in Google Scholar
8. Hrabalkova, L, Takahashi, T, Kemp, MW, Stock, SJ. Antenatal corticosteroids for fetal lung maturity − too much of a good thing?. Curr Pharmaceut Des 2019;25:593–600. https://doi.org/10.2174/1381612825666190326143814.Search in Google Scholar PubMed
9. Murphy, DJ, Caukwell, S, Joels, LA, Wardle, P. Cohort study of the neonatal outcome of twin pregnancies that were treated with prophylactic or rescue antenatal corticosteroids. Am J Obstet Gynecol 2002;187:483–8. https://doi.org/10.1067/mob.2002.123891.Search in Google Scholar PubMed
10. Turrentine, MA, Wilson, PD, Wilkins, IA. A retrospective analysis of the effect of antenatal steroid administration on the incidence of respiratory distress syndrome in preterm twin pregnancies. Am J Perinatol 1996;13:351–4. https://doi.org/10.1055/s-2007-994355.Search in Google Scholar PubMed
11. Blickstein, I, Shinwell, ES, Lusky, A, Reichman, B, Israel Neonatal, N. Plurality-dependent risk of respiratory distress syndrome among very-low-birth-weight infants and antepartum corticosteroid treatment. Am J Obstet Gynecol 2005;192:360–4. https://doi.org/10.1016/j.ajog.2004.10.604.Search in Google Scholar PubMed
12. Crowley, P. Prophylactic corticosteroids for preterm birth. Cochrane Database Syst Rev 1996:CD000065. https://doi.org/10.1002/14651858.CD000065.Search in Google Scholar PubMed
13. Ballabh, P, Lo, ES, Kumari, J, Cooper, TB, Zervoudakis, I, Auld, PA, et al. Pharmacokinetics of betamethasone in twin and singleton pregnancy. Clin Pharmacol Ther 2002;71:39–45. https://doi.org/10.1067/mcp.2002.120250.Search in Google Scholar PubMed
14. Gyamfi, C, Mele, L, Wapner, RJ, Spong, CY, Peaceman, A, Sorokin, Y, et al. The effect of plurality and obesity on betamethasone concentrations in women at risk for preterm delivery. Am J Obstet Gynecol 2010;203:219 e1–5. https://doi.org/10.1016/j.ajog.2010.04.047.Search in Google Scholar PubMed PubMed Central
15. Suhag, A, Berghella, V. What’s new in the multiple gestations literature?. J Perinat Med 2018;46:823–4. https://doi.org/10.1515/jpm-2018-0304.Search in Google Scholar PubMed
16. Bührer C. Perinatalerhebung 2013. Geburtshilfe Frauenheilkd 2016;76:A4https://doi.org/10.1055/s-0036-1571401.Search in Google Scholar
17. Gräfe, D. Ped(z) Kinderarzt rechner; 2019. Available from: https://www.pedz.de/de/bmi.html.Search in Google Scholar
18. Kromeyer-Hauschild, K, Wabitsch, M, Kunze, D, Geller, F, Geiß, HC, Hesse, V, et al. Perzentile für den Body-mass-Index für das Kindes- und Jugendalter unter Heranziehung verschiedener deutscher Stichproben. Monatsschr Kinderheilkd 2001;149:807–18. https://doi.org/10.1007/s001120170107.Search in Google Scholar
19. Heese, V, Schnabel, O, Judis, E, Cammann, H, Hinkel, J, Weissenborn, J. Longitudinal study of the growth of German children aged 0 to 6 years: Part 2. Monatsschr Kinderheilkd 2016;164:892–912 https://doi.org/10.1007/s00112-016-0068-0.Search in Google Scholar
20. Heese, V, Schnabel, O, Judis, E, Cammann, H, Hinkel, J, Weissenborn, J. Longitudinal study of the current growth of German children aged 0 to 6 years: part 1. Monatsschr Kinderheilkd 2016;164:478–96 https://doi.org/10.1007/s00112-016-0067-1.Search in Google Scholar
21. Heese, V, Schnabel, O, Judis, E, Cammann, H, Hinkel, J, Weissenborn, J. Longitudinal study of the current growth of German children aged 0 to 6 years: part 3. Monatsschr Kinderheilkd 2017;165:148–70 https://doi.org/10.1007/s00112-016-0069-z.Search in Google Scholar
22. Braegger, C, Janni, O, Konrad, D, Molinari, L. Neue Wachstumskurven für die Schweiz. Paediatrica 2011;22:9–11.Search in Google Scholar
23. Ashley-Martin, J, Ensenauer, R, Maguire, B, Kuhle, S. Predicting cardiometabolic markers in children using tri-ponderal mass index: a cross-sectional study. Arch Dis Child 2019;104:577–82. https://doi.org/10.1136/archdischild-2018-316028.Search in Google Scholar PubMed
24. Braun, T, Husar, A, Challis, JR, Dudenhausen, JW, Henrich, W, Plagemann, A, et al. Growth restricting effects of a single course of antenatal betamethasone treatment and the role of human placental lactogen. Placenta 2013;34:407–15. https://doi.org/10.1016/j.placenta.2013.02.002.Search in Google Scholar PubMed
25. Liggins Institute. The University of Auckland New Zealand. Antenatal corticosteroids given to women prior to birth to improve fetal, infant, child and adult health. N Z Aust Clin Pract Guidel 2015.Search in Google Scholar
26. Braun, F, Hardt, AK, Ehrlich, L, Sloboda, DM, Challis, JRG, Plagemann, A, et al. Sex-specific and lasting effects of a single course of antenatal betamethasone treatment on human placental 11beta-HSD2. Placenta 2018;69:9–19. https://doi.org/10.1016/j.placenta.2018.07.007.Search in Google Scholar PubMed
27. Challis, J, Newnham, J, Petraglia, F, Yeganegi, M, Bocking, A. Fetal sex and preterm birth. Placenta 2013;34:95–9. https://doi.org/10.1016/j.placenta.2012.11.007.Search in Google Scholar PubMed
28. Peterson, CM, Su, H, Thomas, DM, Heo, M, Golnabi, AH, Pietrobelli, A, et al. Tri-ponderal mass index vs body mass index in estimating body fat during adolescence. JAMA Pediatr 2017;171:629–36. https://doi.org/10.1001/jamapediatrics.2017.0460.Search in Google Scholar PubMed PubMed Central
29. Ong, KK, Loos, RJ. Rapid infancy weight gain and subsequent obesity: systematic reviews and hopeful suggestions. Acta Paediatr 2006;95:904–8. https://doi.org/10.1080/08035250600719754.Search in Google Scholar PubMed
30. Ong, KK, Emmett, P, Northstone, K, Golding, J, Rogers, I, Ness, AR, et al. Infancy weight gain predicts childhood body fat and age at menarche in girls. J Clin Endocrinol Metab 2009;94:1527–32. https://doi.org/10.1210/jc.2008-2489.Search in Google Scholar PubMed
31. Howe, LD, Tilling, K, Benfield, L, Logue, J, Sattar, N, Ness, AR, et al. Changes in ponderal index and body mass index across childhood and their associations with fat mass and cardiovascular risk factors at age 15. PLoS One 2010;5: e15186. https://doi.org/10.1371/journal.pone.0015186.Search in Google Scholar PubMed PubMed Central
32. Carrascosa, A, Yeste, D, Moreno-Galdo, A, Gussinye, M, Ferrandez, A, Clemente, M, et al. [Body mass index and tri-ponderal mass index of 1,453 healthy non-obese, non-undernourished millennial children. The Barcelona longitudinal growth study]. An Pediatr 2018;89:137–43. https://doi.org/10.1016/j.anpede.2018.01.006.Search in Google Scholar
33. van Dommelen, P, de Gunst, M, van der Vaart, A, van Buuren, S, Boomsma, D. Growth references for height, weight and body mass index of twins aged 0–2.5 years. Acta Paediatr 2008;97:1099–104. https://doi.org/10.1111/j.1651-2227.2008.00853.x.Search in Google Scholar PubMed
Supplementary Material
The online version of this article offers supplementary material (https://doi.org/10.1515/jpm-2020-0204).
© 2020 Thorsten Braun et al., published by De Gruyter, Berlin/Boston
This work is licensed under the Creative Commons Attribution 4.0 International License.
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