Abstract
Objective
To determine risk of Down syndrome (DS) in multiple relative to singleton pregnancies, and compare prenatal diagnosis rates and pregnancy outcome.
Design
Population‐based prevalence study based on EUROCAT congenital anomaly registries.
Setting
Eight European countries.
Population
14.8 million births 1990–2009; 2.89% multiple births.
Methods
DS cases included livebirths, fetal deaths from 20 weeks, and terminations of pregnancy for fetal anomaly (TOPFA). Zygosity is inferred from like/unlike sex for birth denominators, and from concordance for DS cases.
Main outcome measures
Relative risk (RR) of DS per fetus/baby from multiple versus singleton pregnancies and per pregnancy in monozygotic/dizygotic versus singleton pregnancies. Proportion of prenatally diagnosed and pregnancy outcome.
Statistical analysis
Poisson and logistic regression stratified for maternal age, country and time.
Results
Overall, the adjusted (adj) RR of DS for fetus/babies from multiple versus singleton pregnancies was 0.58 (95% CI 0.53–0.62), similar for all maternal ages except for mothers over 44, for whom it was considerably lower. In 8.7% of twin pairs affected by DS, both co‐twins were diagnosed with the condition. The adjRR of DS for monozygotic versus singleton pregnancies was 0.34 (95% CI 0.25–0.44) and for dizygotic versus singleton pregnancies 1.34 (95% CI 1.23–1.46). DS fetuses from multiple births were less likely to be prenatally diagnosed than singletons (adjOR 0.62 [95% CI 0.50–0.78]) and following diagnosis less likely to be TOPFA (adjOR 0.40 [95% CI 0.27–0.59]).
Conclusions
The risk of DS per fetus/baby is lower in multiple than singleton pregnancies. These estimates can be used for genetic counselling and prenatal screening.
To determine risk of Down syndrome (DS) in multiple relative to singleton pregnancies, and compare prenatal diagnosis rates and pregnancy outcome.
Design
Population‐based prevalence study based on EUROCAT congenital anomaly registries.
Setting
Eight European countries.
Population
14.8 million births 1990–2009; 2.89% multiple births.
Methods
DS cases included livebirths, fetal deaths from 20 weeks, and terminations of pregnancy for fetal anomaly (TOPFA). Zygosity is inferred from like/unlike sex for birth denominators, and from concordance for DS cases.
Main outcome measures
Relative risk (RR) of DS per fetus/baby from multiple versus singleton pregnancies and per pregnancy in monozygotic/dizygotic versus singleton pregnancies. Proportion of prenatally diagnosed and pregnancy outcome.
Statistical analysis
Poisson and logistic regression stratified for maternal age, country and time.
Results
Overall, the adjusted (adj) RR of DS for fetus/babies from multiple versus singleton pregnancies was 0.58 (95% CI 0.53–0.62), similar for all maternal ages except for mothers over 44, for whom it was considerably lower. In 8.7% of twin pairs affected by DS, both co‐twins were diagnosed with the condition. The adjRR of DS for monozygotic versus singleton pregnancies was 0.34 (95% CI 0.25–0.44) and for dizygotic versus singleton pregnancies 1.34 (95% CI 1.23–1.46). DS fetuses from multiple births were less likely to be prenatally diagnosed than singletons (adjOR 0.62 [95% CI 0.50–0.78]) and following diagnosis less likely to be TOPFA (adjOR 0.40 [95% CI 0.27–0.59]).
Conclusions
The risk of DS per fetus/baby is lower in multiple than singleton pregnancies. These estimates can be used for genetic counselling and prenatal screening.
Original language | English |
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Pages (from-to) | 809-820 |
Number of pages | 12 |
Journal | BJOG: An International Journal of Obstetrics and Gynaecology |
Volume | 121 |
Issue number | 7 |
Early online date | 4 Feb 2014 |
DOIs | |
Publication status | Published (in print/issue) - 30 Jun 2014 |
Keywords
- Concordance
- Down syndrome
- monozygotic and dizygotic pregnancies
- multiple births
- pregnancy outcomes
- twins
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Dive into the research topics of 'Prevalence and risk of Down syndrome in monozygotic and dizygotic multiple pregnancies in Europe: implications for prenatal screening'. Together they form a unique fingerprint.Profiles
-
Helen Dolk
- School of Medicine - Professor of Epidemiology & Health Services Research
- Faculty Of Life & Health Sciences - Full Professor
Person: Academic
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Maria Loane
- School of Nursing and Paramedic Science - Senior Research Fellow
- Faculty Of Life & Health Sciences - Senior Research Fellow
Person: Academic