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European Journal of Human Genetics logoLink to European Journal of Human Genetics
. 2018 Jan 12;26(2):157–165. doi: 10.1038/s41431-017-0075-1

Older mothers and increased impact of prenatal screening: stable livebirth prevalence of trisomy 21 in the Netherlands for the period 2000–2013

Maurike D de Groot- van der Mooren 1, Saskia Tamminga 2,3, Dick Oepkes 4, Michel E Weijerman 1,5, Martina C Cornel 2,3,
PMCID: PMC5839038  PMID: 29330546

Abstract

In the Netherlands, there is no registry system regarding the livebirth prevalence of trisomy 21 (T21). In 2007, a national screening programme was introduced for all pregnant women, which may have changed the livebirth prevalence of T21. The aim of this study is to analyse trends in factors that influence livebirth prevalence of T21 and to estimate the livebirth prevalence of T21 for the period of 2000–2013. National data sets were used on the following: (1) livebirths according to maternal age and (2) prenatal testing and termination of pregnancy (ToP) following diagnosis of T21. These data are combined in a model that uses maternal age-specific risk on T21 and correction factors for natural foetal loss to assess livebirth prevalence of T21. The proportion of mothers aged ≥ 36 years has increased from 12.2% in 2000 to 16.6% in 2009, to gradually decrease afterwards to 15.2% in 2013. The number of invasive tests performed adjusted for total livebirths decreased (5.9% in 2000 vs. 3.2% in 2013) with 0.18% a year (95% CI: −0.21 to −0.15; p   < 0.001). Following invasive testing, a higher proportion of foetuses was diagnosed with T21 (1.6% in 2000 vs. 4.8% in 2013) with a significant increase of 0.22% a year (95% CI: 0.18–0.26; p < 0.001). The proportion of ToP subsequent to T21 diagnosis was on average 85.7%, with no clear time trend. This resulted in a stable T21 livebirth prevalence of 13.6 per 10,000 livebirths (regression coefficient −0.025 (95% CI: −0.126 to 0.77; p = 0.60).

Introduction

Trisomy 21 (T21) or also called Down Syndrome (DS), is the most common chromosomal disorder among liveborn infants and is associated with intellectual disability and other serious morbidity [1]. Studies have shown that T21 livebirth prevalence has been influenced mainly by two trends with counteracting effects [27]. Firstly, in developed countries, a rise in maternal age increases the chance of giving birth to a child with T21 [8]. For the Northern Netherlands, the percentage of mothers aged > 35 years of age has also increased from 12 to 17 percent in the period 1993–2004 [5]. Secondly, more precise and advanced technologies for T21 screening during pregnancy have become available and are being offered to pregnant women, which may have changed T21 livebirth prevalence. In the Netherlands, before 2007, prenatal screening with the First-trimester Combined screening Test (FCT) was only recommended for women older than 35 years. However, women over 35 years could also opt for direct prenatal diagnosis through an amniocentesis (AC) or chorion villous sampling (CVS) [9]. A national program for prenatal screening started in 2007 consisting of all pregnant women receiving information about FCT in the first trimester and furthermore offering a structural anomaly scan in the second trimester [10]. Risk assessment for trisomy 21, 13, and 18 with the FCT is based on maternal age, foetal nuchal translucency thickness and concentrations of maternal serum-free β-human chorionic gonadotrophin and pregnancy-associated plasma protein-A. If a woman receives a “high-risk” FCT result ( ≥ 1:200) or abnormal ultrasound findings are present, prenatal diagnostic testing by CVS or AC is offered for follow-up. The purpose of prenatal DS screening is to enable autonomous informed decision making with regard to carrying pregnancy to term or termination of pregnancy (ToP) [11, 12]. Studies have shown that many women decline follow-up invasive testing, sometimes due to the risk of miscarriage of 0.11–0.22% [1315]. Studies have shown that the vast majority (85–95%) of the women that receive a foetal T21 diagnose terminate their pregnancy [16]. It is unclear if actively informing all pregnant women about prenatal screening tests, starting around 2004, and resulting in a national screening program in 2007, led to a change in livebirth prevalence of T21. The aims of this study were to analyse trends in factors that influence T21 livebirth prevalence and to estimate livebirth prevalence of T21 in the Netherlands for the period 2000–2013.

Subjects and methods

Model

In this study, we will estimate T21 livebirth number in the Netherlands on the basis of a model with following variables: (1) number of total livebirths specified for maternal age; (2) maternal age-specific T21 risk; and (3) number of ToP in the case of T21. Livebirth prevalence is defined as the number of liveborn children with T21 per 10,000 livebirths (Fig. 1).

Fig. 1.

Fig. 1

Model for estimating livebirth prevalence of T21. Correction rates of natural foetal loss for women screened by amniocentesis was 25% (therefore survival to term 1−0.25 = 0.75) and foetal loss rates for women screened by CVS were approximately 32% (therefore survival to term 1−0.32 = 0.68)* each year by age of mother at the time of birth, from 15 years till 60 years old. AC_ToP termination of pregnancy following positive amniocentesis, CVS_ToP termination of pregnancy following positive chorionic villus sampling

Data sets

In order to assess the numbers of the above-mentioned variables and relevant trends of T21 in the Netherlands, the following two data sets were combined: the Central Bureau of Statistics (CBS) and the Working Party on Prenatal Diagnosis and Therapy (WPDT). The CBS collects and processes national data on a mandatory basis, anonymously. The published data covers multiple societal aspects of the Dutch population, including numbers and specifics with regard to childbirth. In this study, the total number of annual livebirths and maternal age distribution (each year by age of mother in completed years at the time of birth) were used. In the table of CBS, some children have been included in a specific year in which they were reported to the municipal administration, while they were born in the previous or next year. Therefore, numbers are slightly different than the CBS tables online [17]. The WPDT is part of the Dutch Society for Clinical Genetics (VKGN) and the Dutch Society for Obstetricians and Gynaecologists (NVOG). Since 1991, the WPDT collects the data in the Netherlands concerning prenatal T21 screening. The WPDT annual report contains statistics on performed prenatal diagnoses by AC or CVS, diagnosed T21 cases and the number of T21 pregnancies terminated after diagnosis. Different WPDT reports are circulating, we used the final versions [18]. This data set does not contain personal information and therefore is not privacy-sensitive. The Medical Ethical Committee of VU University Medical Center stated that no permission needed to be granted for this study in accordance with Dutch research legislation (WMO).

Expected number of T21 livebirths

By multiplying the number of women that delivered a liveborn child in each age category by the age-specific T21 risks, and summing that for all maternal age categories, the annual number of expected T21 children could be estimated. The maternal age-specific risks of T21 proposed by Morris were used [19]. Compared to the other models, the analysis of Morris et al is the most recent model and based on the largest data set. Furthermore, data from Morris et al provide some evidence to show that the risk does not continue to increase exponentially for women over age 45 as previous estimates assume [20]. With the expected number of T21 livebirths, it was possible to estimate the “natural prevalence”. The natural prevalence is the number of children with T21 that would have been born in the absence of prenatal screening and selective abortion per 10,000 livebirths.

Actual number of T21 livebirths

Next, the expected number of T21 livebirths is corrected for the effect of prenatal testing and subsequent termination of pregnancies. In 2011 and 2013, the WPDT annual reports contained no information on the number of ToPs of the centre in Nijmegen. We have estimated this number by assuming that, in Nijmegen, the proportion of ToP (separately for AC and CVS) was similar to that in the other centres [21]. Still, the number of induced abortions does not result in an equivalent reduction in the number of T21 livebirths due to the risk of natural foetal loss. Many of these induced abortions would not have survived to term and would not have been diagnosed, as miscarriages are generally not karyotyped. The risk of natural foetal loss for T21 varies between 19 and 44%, and depends on maternal age and gestational age at prenatal testing [22]. Since our data set on ToPs, information of maternal age was partially missing, overall estimates of foetal loss for women of any age were used. The correction factors of natural foetal loss that we used for women screened by AC was 25% and for women screened by CVS 32%. These factors are based on a study of Savva et al. where foetal loss at different maternal ages were estimated by survival analysis using follow-up of 5177 prenatally diagnosed cases [23]. The impact of prenatal screening is defined as the difference between the natural livebirth prevalence and actual livebirth prevalence, divided by the natural livebirth prevalence.

Statistical analyses

Linear regression analyses were used to analyse time trends in mean maternal age, the impact of prenatal screening and T21 livebirths prevalence. Χ2 tests were used to investigate whether the proportions of invasive tests, positive T21 diagnoses and ToP subsequent T21 diagnoses were different between the period before (2000–2006) and after (2007–2013) the implementation of the national screening program. A p-value < 0.05 (two sided) was considered to be statistically significant. All statistical analyses were performed using IBM SPSS 20.0.

Results

All livebirths in the Netherlands recorded by CBS are included in the period 2000–2013 (N = 2 641 447). The total number of annual livebirths decreased from 206,619 births in 2000 to 171,426 births in 2013.

Maternal age

The mean maternal age has slightly increased since 2000 from 30.2 years to 30.5 years in 2013 (Fig. 2), leading to a significant increasing trend of 0.014 year (95% CI: 0.001–0.027; p = 0.04). Because maternal age is reported as a discrete variable (age last birthday) in the CBS tables, one could add 6 months on top of the mean maternal age from 30.7 years in 2000 to 31.0 years in 2013. The gradual increase of mean maternal age would seem to have stopped in around 2006. The proportion of mothers aged ≥ 36 years has increased from 12.2% in 2000 to 16.6% in 2009, to gradually decrease afterwards to 15.2% in 2013 (Fig. 3).

Fig. 2.

Fig. 2

Mean maternal age in the Netherlands, 2000–2013

Fig. 3.

Fig. 3

Maternal age distribution in the Netherlands, 2000–2013

Invasive tests

During the period 2000–2013, a total of 127 077 of invasive tests were performed. Expressed as proportion of the total livebirths, the number of invasive tests has steadily decreased with 0.18% a year (95% CI: −0.21 to −0.15), from 5.9% in 2000 to 3.2% in 2013 (p < 0.001).The proportion of invasive tests decreased from 5.4% before to 4.2% after implementation of the national screening program in 2007 (p < 0.001). In 2000, advanced maternal age was the main reason for invasive testing (73%), in 2013 this was reduced till 28%. In contrast to the decreasing trend of invasive tests performed, the proportion of positive T21 diagnoses from these tests has increased from 1.6% in 2000 to 4.8% in 2013, with a significant increase of 0.22% a year (95% CI 0.18 to 0.26; p < 0.001). The proportion of prenatal diagnosis after invasive tests increased from 2.1% before to 3,6% after 2007 (p < 0.001). The proportion of ToP subsequent to T21 diagnosis was on average 85.7%, fluctuating between 79.3% and 93.9%, with no clear time trend (p = 0.11). Also no significant change in proportion of ToP was found before and after 2007 (p = 0.08). After T21 diagnosis by AC, the pregnancy was terminated less often compared to CVS, with a range 73.6% till 93.6% and 83.6% till 96,4%, respectively (Table 1). The impact of prenatal screening increased with 29.2% in 2000 till 40.8% in 2013 and showed a significant time trend of 0.86% a year (95% CI: 0.32 to 1.40; p < 0.001).

Table 1.

The trend in prenatal testing and reproductive choice after confirmed trisomy 21 (T21) diagnosis in the Netherlands, 2000–2013

Year Total livebirths Number of invasive tests Invasive tests versus total livebirths (%) Proportion AC of all invasive tests (%) Proportion CVS of all invasive tests (%) Number of confirmed T21 diagnosis T21 diagnosis following invasive test (%) Number of ToPs after T21 diagnosis Proportion of ToP after T21 diagnosis by AC (%) Proportion of ToP after T21 diagnosis by CVS (%) Proportion of ToP after T21 diagnosis (%) ToP versus total livebirths (%)
2000 206619 12097 5.9 73.1 26.9 189 1.6 162 82.5 91.3 85.7 0.08
2001 202603 11433 5.6 73.6 26.4 179 1.6 158 85.6 91.5 88.3 0.08
2002 202083 11600 5.7 72.2 27.8 209 1.8 184 84.9 92.8 88.0 0.09
2003 200297 10940 5.5 72.4 27.6 231 2.1 217 93.6 94.3 93.9 0.11
2004 194007 9910 5.1 69.1 30.9 253 2.6 226 83.7 96.4 89.3 0.12
2005 187910 9538 5.1 67.4 32.6 232 2.4 184 69.6 88.9 79.3 0.10
2006 185057 8793 4.8 66.1 33.9 249 2.8 206 76.7 89.2 82.7 0.11
2007 181336 8528 4.7 67.5 32.5 262 3.1 217 76.7 88.0 82.8 0.12
2008 184634 8660 4.7 66.7 33.3 293 3.4 252 78.7 92.8 86.0 0.14
2009 185158 8056 4.4 67.1 32.9 270 3.4 241 85.5 93.2 89.3 0.13
2010 184325 7451 4.0 66.4 33.6 307 4.1 266 80.6 92.8 86.6 0.14
2011 180020 7504 4.2 64.5 35.5 255 3.4 213a 81.1 85.7 83.5 0.12
2012 175972 7067 4.0 63.7 36.3 258 3.7 205 73.6 83.6 79.5 0.12
2013 171426 5500 3.2 58.0 42.0 265 4.8 221a 77.5 88.3 83.4 0.13

We have estimated this number by assuming that in Nijmegen the percentage ToPs in the prenatal diagnosis was similar to that in the other centres

AC amniocentesis, CVS chorionic villus sampling, ToP termination of pregnancy

a In 2011 and 2013, the WPDT annual reports contained no information on the number of ToPs of the centre in Nijmegen

Livebirth prevalence of T21

An integration of these data resulted in an estimated livebirth prevalence of T21 that remained quite stable, ranging from 12.4 to 14.7 per 10,000. The mean livebirth prevalence of T21 for the period of 2000–2013 was 13.6 per 10,000 livebirths (Fig. 4). No significant trend in mean livebirth prevalence of T21 over the years 2000–2013 (regression coefficient −0.025 (95% CI: −0.13 to 0.77; p = 0.60) was found. A decline of the total number of livebirths resulted in a decrease in the absolute number of livebirths with T21 from 284 to 227 (Table 2).

Fig. 4.

Fig. 4

Predicted livebirth prevalence of T21 in the Netherlands, 2000–2013. Natural prevalence: without prenatal diagnosis and termination of pregnancy. Actual prevalence: with prenatal diagnosis and termination of pregnancy

Table 2.

Estimated livebirth prevalence of T21 in the Netherlands, 2000–2013

Year Total livebirths Expected number of T21 livebirths Natural livebirth prevalence of T21 per 10 000 AC_ToP CVS_ToP Actual number of T21 livebirths Impact of prenatal screening (%) Livebirth prevalence of T21 per 10 000
2000 206 619 401 19.4 99 63 284 29.2 13.7
2001 202 603 405 20.0 83 75 292 28.0 14.4
2002 202 083 410 20.3 107 77 277 32.3 13.7
2003 200 297 416 20.8 117 100 260 37.4 13.0
2004 194 007 413 21.3 118 108 251 39.2 12.9
2005 187 910 407 21.7 80 104 276 32.1 14.7
2006 185 057 407 22.0 99 107 260 36.1 14.0
2007 181 336 405 22.3 92 125 251 38.0 13.8
2008 184 634 414 22.4 111 141 235 43.3 12.7
2009 185 158 418 22.6 118 123 246 41.2 13.3
2010 184 325 418 22.7 125 141 228 45.4 12.4
2011 180 020 407 22.6 99 114 255 37.3 14.2
2012 175 972 395 22.4 78 127 250 36.7 14.2
2013 171 426 384 22.4 93 128 227 40.8 13.3

Actual number of T21 livebirths = expected number of T21 livebirths − ((AC_ToP × 0.75) + (CVS_ToP × 0.68))

Impact of screening (%) = (expected number of T21 livebirths − actual number of T21 livebirths) / expected number of T21 livebirths

The correction factor for natural foetal loss for women screened by AC was 25% and CVS was 32%

T21 trisomy 21, AC_ToP termination of pregnancy subsequent positive amniocentesis, CVS_ToP termination of pregnancy subsequent positive chorionic villus sampling

Discussion

In this study, we found a stable livebirth prevalence of T21 in the Netherlands of 13.6 per 10,000 livebirths from 2000 to 2013. The effect of actively informing all pregnant women about prenatal screening tests, starting around 2004, and resulting in a national screening program in 2007, has not led to a decrease in livebirth prevalence of T21, as estimated by our model.

Model The model described in this study was based on maternal age and maternal age-specific T21 risk factors [19, 20]. Using maternal age-specific risk factors to estimate expected T21 pregnancies is a method used internationally, as no large differences have been found when compared to the empirical data. Especially for time trends, no systematic differences are to be expected [2426]. De Graaf et al. (2011) used a similar model to estimate the livebirth prevalence of T21 in the Netherlands. They validated the results using empirical data of postnatal T21 diagnoses. Birth numbers estimated by the theoretical model were 4% lower, resembling a mean difference of 0.5 per 10 000 births lower, compared with empirical data [6]. Although there was a slight underestimation of birth prevalence, the differences between both methods were small and the time trends in birth prevalence were similar.

Trends in factors

First, advancing maternal age is a known risk factor for T21. In the Netherlands, maternal age slightly increased till around 2006; however, it did not rise any further. The proportion of mothers aged ≥36 years has increased from 2000 to 2009, but gradually decreased till 2013. Furthermore, a decreasing trend in the number of performed prenatal invasive tests is present. Before 2007 FCT was already being used in pilot studies and women older than 35 years already had direct access to invasive testing. After introduction of the FCT and the structural anomaly scan prenatal diagnostic testing was used more effective, meaning mainly women identified as having a high risk for T21 based on FCT or based on ultrasound anomalies made use of prenatal invasive tests [27, 28]. Because screening tests are more precise than using age criterion a lower proportion of women underwent invasive testing for maternal age criterion alone [10].

The increase in the proportion of positive T21 diagnoses through diagnostic testing from 2000 to 2013 can be explained by a more accurate risk assessment for pregnant women, as only high-risk women are referred for confirmation by invasive testing [28, 29]. Furthermore there is a slight improvement to the test performance of the FCT [30]. The proportion of induced abortions subsequent to T21 diagnosis was on average 85.7%, fluctuating between 79.3 and 93.9%, with no clear time trend. More prenatal diagnoses of T21 in combination with a stable ToP rate after a prenatal diagnosis counterbalanced the increase of the natural livebirth prevalence by increasing maternal age (Fig. 4). In other words, the impact of prenatal testing increased. The decision for ToP is a difficult one to take and an emotional challenge influenced by many personal, social, cultural and psychological factors [16, 31]. In general, the proportion of pregnancy terminations in the Netherlands is the lowest of all Western countries, being around 8.5–9 per 1000 [32, 33]. This can be explained by the fact that norms and values of society with regard to childbirth and termination has considerable influence on the decision to terminate a pregnancy. In the Netherlands, contraception and communication concerning sexual activities and the potential consequences are readily available for young women. Furthermore, the natural character of pregnancy is highly valued; pregnancy and delivery are generally considered as non-medical events that one should not ‘unnecessarily’ interfere with [34].

Livebirth prevalence of T21

The estimated livebirth prevalence remained stable during 2000–2013. The introduction of the nationwide screening program in the Netherlands did not lead to a sharp decline around 2007 but this can be explained by the fact that FCT was already being used in pilot studies before 2007 and women older than 35 years already had direct access to invasive testing. Another breaking point in livebirth prevalence could have been 2004. Before 2004 physicians were not allowed to actively inform pregnant women about screening, unless there was a preceding medical reason (for instance maternal age or a previous child with a trisomy in the family). Since 2004, this was allowed which already caused an increase in the uptake of prenatal screening tests before 2007. However, no decline of livebirth prevalence was found in 2004. The reason for a stable livebirth prevalence may be the fact that FCT uptake remained relatively low (27%) compared to other European countries. It has been shown that the uptake of prenatal testing is strongly associated with the screening policy of a certain country [4, 35]. Screening uptake in the Netherlands may have been influenced by the additional costs for T21 screening (€160) compared to the standard antenatal care. Furthermore, there is a public debate that precedes the implementation of the T21 screening program, and the ‘right not to know’ and respect for autonomous choice in the Netherlands [35]. A different aspect may be the way midwives are counselling pregnant women by focussing on relationship building and health education, instead of informed decision making [36]. Bakker et al. analysed 820 questionnaires of women in the Netherlands and the main reason for the low uptake of the FCT was the relatively positive attitude towards DS and a negative attitude towards TOP [37].

Reported data about T21 livebirth prevalence over the last decades vary. For 2003, Weijerman et al. (2008) reported a T21 prevalence of 16 per 10,000 livebirths [38], while European Registration of Congenital Anomalies (EUROCAT) concluded that T21 livebirth prevalence was 15 per 10,000 [39]. De Graaf et al. (2011) reported a prevalence of 11 per 10,000 livebirths in the early 1990s, increasing to around 14 per 10,000 in 2007 [6]. Van Gameren-Oosterom et al. (2012) concluded that the proportion of T21 livebirths did not change during the period 1997–2007, with a mean prevalence of 14.5 per 10,000 births, 85% of which were livebirths [40]. This would correspond to 12.3 per 10,000 livebirths. Recently, a cohort study performed in the Northern Netherlands showed a total prevalence of T21 of 23.3 per 10,000 births with 57% livebirths in 2005–2006 and 56% in 2007–2012. This would correspond to 13.2 per 10,000 livebirths [41]. The reason for this slightly lower livebirth prevalence may be the lower maternal age of the northern region of the Netherlands compared to other regions [42]. A very recent study by de Graaf et al. (2017) shows an increase of livebirth prevalence from 11.6 per 10,000 in 1991 to a peak of 15.9 per 10,000 in 2002, followed by a slight decrease to 13.4 per 10,000 in 2013 (and 11.1 per 10,000 in 2015). Livebirth estimates were based on numbers of postnatal T21 diagnoses by cytogenetic centers and non-ToP numbers of prenatal T21 diagnoses in WPDT reports. A correction had to be made for livebirths and natural foetal loss in the non-ToP category. De Graaf et al. modelled this correction in two different ways. In both scenarios, there is a decreasing livebirth prevalence after 2002. Estimates for 2014 and 2015, as regards the percentage of livebirths after a prenatal diagnoses, were based on trend data from preceding years [39]. It is surprising that de Graaf et al. find a decreasing trend also only for 2000 till 2013 and in the current study no such trend was found. How can this difference in trend be explained? First of all, the major limitation of these studies is that the estimates of number of livebirths with T21 are not completely based on actual counts. Present study is based on a model using maternal age in general population, and the data on ToP and natural loss in case of T21. The study of de Graaf et al. models the number of livebirths with T21 in the number of reported non-ToPs. However, the current model of Morris et al. leads to an estimation of livebirth prevalence of on average 13.6 per 10,000 for the period 2000–2013, which is the same as found in the recent study of de Graaf et al. for the same period of time. There was no specific maternal age information, so the overall estimates of natural foetal loss rate were used. However, overestimates of the foetal loss rate in younger mothers will cause the weight of prenatally diagnosed cases to be too low, which will lead to an overestimation of the actual livebirth prevalence. Also, underestimation of the foetal loss rate in older mothers will cause the weight of prenatally diagnosed cases to be too high, which will lead to an underestimation of the expected livebirth prevalence. Finally, it may be possible that we found a stable livebirth prevalence by chance because the 95% confidence intervals in such a model approach as used in the current study on an annual basis are fairly large.

Because NIPT became available in 2013 in neighbouring countries, overestimation of T21 livebirth prevalence is possible. In the Netherlands, NIPT became available only for women at increased risk for T21 after the FCT in April 2014. This led to about 3000–3600 Dutch women crossing the border to undergo NIPT at their own costs [43]. The numbers of T21 cases in this low-risk population is probably too small to affect our estimates, since perhaps almost all T21 diagnoses are confirmed using invasive diagnostic testing in the Netherlands and thereby registered in the database of the WPDT currently used. [44]

In the Netherlands, there is no national registry system for T21. EUROCAT is a regional system of Northern Netherlands and does not cover the whole country. The Perinatal Registry Netherlands foundation (PRN) contains records of all infants born from 16 weeks of gestation under the care of a midwife at home or in a hospital, as well as those born under the care of an obstetrician in a hospital within the first 28 days of life. Similar to EUROCAT, this registration is done on a voluntary basis. In addition, no confirmatory genetic test is needed for the registration of DS. As a result from the voluntary basis, it is likely that underestimation is present. A national registry system that collects complete data of childbirth and T21 diagnosis is needed to ensure baseline data.

Conclusion and future research

This study showed a stable livebirth prevalence of T21 with a mean of 13.6 per 10,000 in the Netherlands during the period 2000–2013. The national screening program in 2007 for all pregnant women seems to have had limited impact on the livebirth prevalence of T21.

Qualitative studies could provide more insights into whether and how parents make their reproductive decisions. Since April 2017 non-invasive prenatal testing (NIPT) is introduced in the Netherlands as a first-tier screening test as alternative for the FCT. The media has generated intense debate about DS and the NIPT screening test. The question remains if the livebirth prevalence of T21 will change. In our opinion a national registry is needed to ensure baseline data. Currently, the data on the number of postnatal diagnoses can be derived from the cytogenetic centers. However, individual centres have to be approached. The recommendation is to collect these data on annual basis in a national registry. Data on prenatal diagnoses and reported ToPs can be derived from the WPDT reports. However, accurate reporting is required to avoid that multiple versions of WPDT reports are circulating. Furthermore in the non-ToPs category, a distinction could be made in the categories ‘livebirths’, ‘natural loss/still births’, and ‘unknown outcomes’. A national register could contain further maternal and neonatal information as well.

Acknowledgements

We thank Liping Fu for her help in collecting the data and discussions to interpret the results. Also, we are grateful to Lia Knegt of the WPDT, the driving force behind the annual reports. No sources of any support for this work were received in the form of grants and/or equipment and drugs.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no competing interests.

Footnotes

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Weijerman ME, de Winter PJ. Clinical practice: the care of children with Down syndrome. Eur J Pediatr. 2010;169:1445–52. doi: 10.1007/s00431-010-1253-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Loane M, Morris JK, Addor MC, Arriola L, Budd J, Doray B, et al. Twenty-year trends in the prevalence of Down syndrome and other trisomies in Europe: impact of maternal age and prenatal screening. Eur J Hum Genet. 2013;21:27–33. doi: 10.1038/ejhg.2012.94. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Wu J, Morris JK. Trends in maternal age distribution and the live birth prevalence of Down’s syndrome in England and Wales: 1938-2010. Eur J Hum Genet. 2013;21:943–7. doi: 10.1038/ejhg.2012.288. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Boyd PA, Devigan C, Khoshnood B, Loane M, Garne E, Dolk H. Survey of prenatal screening policies in Europe for structural malformations and chromosome anomalies, and their impact on detection and termination rates for neural tube defects and Down’s syndrome. BJOG. 2008;115:689–96. doi: 10.1111/j.1471-0528.2008.01700.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Cocchi G, Gualdi S, Bower C, Halliday J, Jonsson B, Myrelid A, et al. International trends of Down syndrome 1993-2004: Births in relation to maternal age and terminations of pregnancies. Birth Defects Res A Clin Mol Teratol. 2010;88:474–9. doi: 10.1002/bdra.20666. [DOI] [PubMed] [Google Scholar]
  • 6.de Graaf G, Haveman M, Hochstenbach R, Engelen J, Gerssen-Schoorl K, Poddighe P, et al. Changes in yearly birth prevalence rates of children with Down syndrome in the period 1986-2007 in The Netherlands. J Intellect Disabil Res. 2011;55:462–73. doi: 10.1111/j.1365-2788.2011.01398.x. [DOI] [PubMed] [Google Scholar]
  • 7.Resta RG. Changing demographics of advanced maternal age (AMA) and the impact on the predicted incidence of Down syndrome in the United States: Implications for prenatal screening and genetic counseling. Am J Med Genet A. 2005;133A:31–6. doi: 10.1002/ajmg.a.30553. [DOI] [PubMed] [Google Scholar]
  • 8.Sherman SL, Allen EG, Bean LH, Freeman SB. Epidemiology of Down syndrome. Ment Retard Dev Disabil Res Rev. 2007;13:221–7. doi: 10.1002/mrdd.20157. [DOI] [PubMed] [Google Scholar]
  • 9.Engels MA, Bhola SL, Twisk JW, Blankenstein MA, van Vugt JM. Evaluation of the introduction of the national Down syndrome screening program in the Netherlands: age-related uptake of prenatal screening and invasive diagnostic testing. Eur J Obstet Gynecol Reprod Biol. 2014;174:59–63. doi: 10.1016/j.ejogrb.2013.12.009. [DOI] [PubMed] [Google Scholar]
  • 10.Siljee JE, Knegt AC, Knapen MF, Bekker MN, Visser GH, Schielen PC. Positive predictive values for detection of trisomies 21, 18 and 13 and termination of pregnancy rates after referral for advanced maternal age, first trimester combined test or ultrasound abnormalities in a national screening programme (2007-2009) Prenat Diagn. 2014;34:259–64. doi: 10.1002/pd.4302. [DOI] [PubMed] [Google Scholar]
  • 11.Lichtenbelt KD, Alizadeh BZ, Scheffer PG, Stoutenbeek P, Schielen PC, Page-Christiaens LC, et al. Trends in the utilization of invasive prenatal diagnosis in The Netherlands during 2000-2009. Prenat Diagn. 2011;31:765–72. doi: 10.1002/pd.2764. [DOI] [PubMed] [Google Scholar]
  • 12.van den Berg M, Timmermans DR, ten Kate LP, van Vugt JM, van der Wal G. Informed decision making in the context of prenatal screening. Patient Educ Couns. 2006;63:110–7. doi: 10.1016/j.pec.2005.09.007. [DOI] [PubMed] [Google Scholar]
  • 13.Akolekar R, Beta J, Picciarelli G, Ogilvie C, D’Antonio F. Procedure-related risk of miscarriage following amniocentesis and chorionic villus sampling: a systematic review and meta-analysis. Ultrasound Obstet Gynecol. 2015;45:16–26. doi: 10.1002/uog.14636. [DOI] [PubMed] [Google Scholar]
  • 14.Allyse M, Minear MA, Berson E, Sridhar S, Rote M, Hung A, et al. Non-invasive prenatal testing: a review of international implementation and challenges. Int J Women’s Health. 2015;7:113–26. doi: 10.2147/IJWH.S67124. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Lichtenbelt KD, Schuring-Blom GH, van der Burg N, Page-Christiaens GC, Knoers NV, Schielen PC, et al. Factors determining uptake of invasive testing following first-trimester combined testing. Prenat Diagn. 2013;33:328–33. doi: 10.1002/pd.4067. [DOI] [PubMed] [Google Scholar]
  • 16.Korenromp MJ, Page-Christiaens GC, van den Bout J, Mulder EJ, Visser GH. Maternal decision to terminate pregnancy in case of Down syndrome. Am J Obstet Gynecol. 2007;196:149 e1–11. doi: 10.1016/j.ajog.2006.09.013. [DOI] [PubMed] [Google Scholar]
  • 17.CBS (2016) National Office for Statistics, (in Dutch: Centraal Bureau voor de Statistiek). [Table ‘Birth; age of mother (exact) 1950-2014]. Tabel ‘Geboorte; leeftijd moeder (exact) 1950-–2014 (in Dutch). http://statline.cbs.nl. Accessed10 September 2017.
  • 18.WPDT (2000–2013) [Annual reports of the working party on prenatal diagnosis (WPDT) of the Dutch Society of Obstetrics and Gynaecology and the Dutch Association of Clinical Genetics Working Group for Prenatal Diagnosis and Therapeutics (2000–2013)] Jaarverslagen Werkgroep Prenatale Diagnostiek en Therapie (WPDT) (2000–2013) van de Nederlandse Vereniging voor Obstetrie en Gynaecologie & Vereniging Klinische Genetica in Nederland (in Dutch).
  • 19.Morris J, Mutton D, Alberman E. Corrections to maternal age-specific live birth prevalence of Down’s syndrome. J Med Screen. 2005;12:202. doi: 10.1258/096914105775220679. [DOI] [PubMed] [Google Scholar]
  • 20.Morris JK, Wald NJ, Mutton DE, Alberman E. Comparison of models of maternal age-specific risk for Down syndrome live births. Prenat Diagn. 2003;23:252–8. doi: 10.1002/pd.568. [DOI] [PubMed] [Google Scholar]
  • 21.de Graaf G, Engelen JJ, Gijsbers AC, Hochstenbach R, Hoffer MJ, Kooper AJ, et al. Estimates of live birth prevalence of children with Down syndrome in the period 1991-2015 in the Netherlands. J Intellect Disabil Res. 2017;61:461–70. [DOI] [PubMed]
  • 22.Morris JK, Wald NJ, Watt HC. Fetal loss in Down syndrome pregnancies. Prenat Diagn. 1999;19:142–5. doi: 10.1002/(SICI)1097-0223(199902)19:2&#x0003c;142::AID-PD486&#x0003e;3.0.CO;2-7. [DOI] [PubMed] [Google Scholar]
  • 23.Savva GM, Morris JK, Mutton DE, Alberman E. Maternal age-specific fetal loss rates in Down syndrome pregnancies. Prenat Diagn. 2006;26:499–504. doi: 10.1002/pd.1443. [DOI] [PubMed] [Google Scholar]
  • 24.Cornel MC, Breed AS, Beekhuis JR, te Meerman GJ, ten Kate LP. Down syndrome: effects of demographic factors and prenatal diagnosis on the future livebirth prevalence. Hum Genet. 1993;92:163–8. doi: 10.1007/BF00219685. [DOI] [PubMed] [Google Scholar]
  • 25.Morris JK, Alberman E. Trends in Down’s syndrome live births and antenatal diagnoses in England and Wales from 1989 to 2008: analysis of data from the National Down Syndrome Cytogenetic Register. BMJ. 2009;339:b3794. doi: 10.1136/bmj.b3794. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.de Graaf G, Vis JC, Haveman M, van Hove G, de Graaf EAB, Tijssen JGP, et al. Assessment of prevalence of persons with Down syndrome: a theory-based demographic model. J Appl Res Intellect Disabil. 2011;24:247–62.
  • 27.Benn PA, Egan JF, Fang M, Smith-Bindman R. Changes in the utilization of prenatal diagnosis. Obstet Gynecol. 2004;103:1255–60. doi: 10.1097/01.AOG.0000127008.14792.14. [DOI] [PubMed] [Google Scholar]
  • 28.Muller PR, Cocciolone R, Haan EA, Wilkinson C, Scott H, Sage L, et al. Trends in state/population-based Down syndrome screening and invasive prenatal testing with the introduction of first-trimester combined Down syndrome screening, South Australia, 1995-2005. Am J Obstet Gynecol. 2007;196:315 e1–7. doi: 10.1016/j.ajog.2007.01.037. [DOI] [PubMed] [Google Scholar]
  • 29.Nakata N, Wang Y, Bhatt S. Trends in prenatal screening and diagnostic testing among women referred for advanced maternal age. Prenat Diagn. 2010;30:198–206. doi: 10.1002/pd.2434. [DOI] [PubMed] [Google Scholar]
  • 30.Schielen PCJI KM, Elvers LH, Loeber JG. [Risk determination for Down syndrome with first-trimester combined screening 2004–2006 (partially 2007)]. Downsyndroom-kansbepaling met de eerstetrimester-combinatietest 2004-2006 (deels 2007) (in Dutch). Dutch National Institute for Public Health and the Environment (RIVM) report 230024002/2008.
  • 31.Hawkins A, Stenzel A, Taylor J, Chock VY, Hudgins L. Variables influencing pregnancy termination following prenatal diagnosis of fetal chromosome abnormalities. J Genet Couns. 2013;22:238–48. doi: 10.1007/s10897-012-9539-1. [DOI] [PubMed] [Google Scholar]
  • 32.Gissler M, Fronteira I, Jahn A, Karro H, Moreau C, Oliveira da Silva M, et al. Terminations of pregnancy in the European Union. BJOG. 2012;119:324–32. doi: 10.1111/j.1471-0528.2011.03189.x. [DOI] [PubMed] [Google Scholar]
  • 33.Hehenkamp L, Wijsen C. [Registration of abortion in the Netherlands 2014]. Landelijke abortus registratie 2014 (In Dutch). Utrecht: de Rutgers Nisso Groep; 2015.
  • 34.Fransen MP, Wildschut HI, Mackenbach JP, Steegers EA, Galjaard RJ, Essink-Bot ML. Ethnic and socio-economic differences in uptake of prenatal diagnostic tests for Down’s syndrome. Eur J Obstet Gynecol Reprod Biol. 2010;151:158–62. doi: 10.1016/j.ejogrb.2010.04.020. [DOI] [PubMed] [Google Scholar]
  • 35.Crombag NM, Vellinga YE, Kluijfhout SA, Bryant LD, Ward PA, Iedema-Kuiper R, et al. Explaining variation in Down’s syndrome screening uptake: comparing the Netherlands with England and Denmark using documentary analysis and expert stakeholder interviews. BMC Health Serv Res. 2014;14:437. doi: 10.1186/1472-6963-14-437. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Martin L, Hutton EK, Spelten ER, Gitsels-van der Wal JT, van Dulmen S. Midwives’ views on appropriate antenatal counselling for congenital anomaly tests: do they match clients’ preferences? Midwifery. 2014;30:600–9. doi: 10.1016/j.midw.2013.08.012. [DOI] [PubMed] [Google Scholar]
  • 37.Bakker M, Birnie E, Pajkrt E, Bilardo CM, Snijders RJ. Low uptake of the combined test in The Netherlands--which factors contribute? Prenat Diagn. 2012;32:1305–12. doi: 10.1002/pd.4001. [DOI] [PubMed] [Google Scholar]
  • 38.Weijerman ME, van Furth AM, Vonk Noordegraaf A, van Wouwe JP, Broers CJ, Gemke RJ. Prevalence, neonatal characteristics, and first-year mortality of Down syndrome: a national study. J Pediatr. 2008;152:15–9. doi: 10.1016/j.jpeds.2007.09.045. [DOI] [PubMed] [Google Scholar]
  • 39.EUROCAT. Website Database. http://www.eurocat-network.eu/accessprevalencedata/prevalancetables. Accessed 18 April 2016.
  • 40.van Gameren-Oosterom HB, Buitendijk SE, Bilardo CM, van der Pal-de Bruin KM, Van Wouwe JP, Mohangoo AD. Unchanged prevalence of Down syndrome in the Netherlands: results from an 11-year nationwide birth cohort. Prenat Diagn. 2012;32:1035–40. doi: 10.1002/pd.3951. [DOI] [PubMed] [Google Scholar]
  • 41.Bouman K, Bakker MK, Birnie E, Ter Beek L, Bilardo CM, van Langen IM, et al. The impact of national prenatal screening on the time of diagnosis and outcome of pregnancies affected with common trisomies, a cohort study in the Northern Netherlands. BMC Pregnancy Childbirth. 2017;17:4. doi: 10.1186/s12884-016-1203-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Tromp M, Eskes M, Reitsma JB, Erwich JJ, Brouwers HA. Rijninks-van Driel GC, et al. Regional perinatal mortality differences in the Netherlands; care is the question. BMC Public Health. 2009;9:102. doi: 10.1186/1471-2458-9-102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Beel V. Dure bloedtest voor Down in opmars (in Dutch). Newspaper De Standaard. 2015.
  • 44.Verweij EJT. NIPT: non-invasive prenatal testing: towards implementation in the Netherlands. Doctoral thesis. Leiden:Leiden University; 2014.

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