The possibility of improving the effectiveness of antenatal screening for Down's syndrome by measuring human chorionic gonadotrophin concen- IntroductionDown's syndrome is the most common congenital cause of severe mental retardation, with an incidence at birth of about 1-3 per 1000. The current method of antenatal screening is to select women for a diagnostic amniocentesis on the basis of advanced age. Age is, however, a poor basis for screening and has had little impact on the incidence at birth. With age as a basis for screening only about 30% of all Down's syndrome pregnancies can be detected by carrying out amniocentesis on the 5% of women most at risk-that is, those aged 36 years or greater-though in practice fewer than 15% of affected pregnancies are detected because fewer than half of these older women actually have amniocentesis.' Additional antenatal screening tests such as maternal serum measurements of c fetoprotein and unconjugated oestriol can increase the rate of detection to about 45% if the 5% of pregnant

Conclusion -Antenatal maternal serum screening for Down's syndrome is effective in practice and can be readily integrated into routine antenatal care. It is cost effective and performs better than selection for amniocentesis on the basis of maternal age alone.

BACKGROUND: As part of EUROCAT's surveillance of congenital anomalies in Europe, a statistical monitoring system has been developed to detect recent clusters or long-term (10 year) time trends. The purpose of this article is to describe the system for the identification and investigation of 10-year time trends, conceived as a ''screening'' tool ultimately leading to the identification of trends which may be due to changing teratogenic factors. METHODS: The EUROCAT database consists of all cases of congenital anomalies including livebirths, fetal deaths from 20 weeks gestational age, and terminations of pregnancy for fetal anomaly. Monitoring of 10-year trends is performed for each registry for each of 96 non-independent EUROCAT congenital anomaly subgroups, while Pan-Europe analysis combines data from all registries. The monitoring results are reviewed, prioritized according to a prioritization strategy, and communicated to registries for investigation. Twenty-one registries covering over 4 million births, from 1999 to 2008, were included in monitoring in 2010. CONCLUSIONS: Significant increasing trends were detected for abdominal wall anomalies, gastroschisis, hypospadias, Trisomy 18 and renal dysplasia in the Pan-Europe analysis while 68 increasing trends were identified in individual registries. A decreasing trend was detected in over one-third of anomaly subgroups in the Pan-Europe analysis, and 16.9% of individual registry tests. Registry preliminary investigations indicated that many trends are due to changes in data quality, ascertainment, screening, or diagnostic methods. Some trends are inevitably chance phenomena related to multiple testing, while others seem to represent real and continuing change needing further investigation and response by regional/national public health authorities. Birth Defects Research (Part A) 91:S31-S43,

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Objective To investigate the effect of using a routine ultrasound estimate of gestational age and maternal weight adjustment on maternal serum alpha‐fetoprotein (AFP), unconjugated oestriol (uE3) and human chorionic gonadotrophin (hCG) levels in antenatal screening for Down's syndrome. Design Women with a singleton pregnancy without Down's syndrome were screened using the three serum markers and an estimate of gestational age based on ‘dates’ (time since first day of the last menstrual period) and one based on an ultrasound scan examination was recorded together with maternal weight. Setting Women attending the Homerton Hospital, Hackney, for their antenatal care between February 1989 and January 1990. Subjects 2113 women with a singleton pregnancy without Down's syndrome. Results The use of ultrasound to estimate gestational age (usually based on the biparietal diameter of the fetal skull) led to a significant reduction in the variance of each marker at a given week of pregnancy. The level of each marker was negatively associated with maternal weight, so that adjustment for weight also led to a reduction in variance. These data on gestational age and maternal weight, taken together with published data on pregnancies associated with Down's syndrome, indicate that the routine use of ultrasound to estimate gestational age will increase the detection rate from 58% to 67% while maintaining the false‐positive rate at 5%, or reduce the false‐positive rate from 5.7% to 3.1% while maintaining the detection rate at 60%. Routine maternal weight adjustment for the serum marker levels was much less useful, increasing the detection rate by about 0.5% for a given false‐positive rate, or reducing the false‐positive rate about 0.1% for a given detection rate. Conclusion An ultrasound gestational age estimate available at the time of Down's syndrome screening confers a substantial advantage to screening performance with a further small benefit resulting from maternal weight adjustment, which is worth adopting if it can be done without difficulty or extra cost.

BACKGROUND: Surveillance of multiple congenital anomalies is considered to be more sensitive for the detection of new teratogens than surveillance of all or isolated congenital anomalies. Current literature proposes the manual review of all cases for classification into isolated or multiple congenital anomalies. METHODS: Multiple anomalies were defined as two or more major congenital anomalies, excluding sequences and syndromes. A computer algorithm for classification of major congenital anomaly cases in the EUROCAT database according to International Classification of Diseases (ICD)v10 codes was programmed, further developed, and implemented for 1 year's data (2004) from 25 registries. The group of cases classified with potential multiple congenital anomalies were manually reviewed by three geneticists to reach a final agreement of classification as ''multiple congenital anomaly'' cases. RESULTS: A total of 17,733 cases with major congenital anomalies were reported giving an overall prevalence of major congenital anomalies at 2.17%. The computer algorithm classified 10.5% of all cases as ''potentially multiple congenital anomalies''. After manual review of these cases, 7% were agreed to have true multiple congenital anomalies. Furthermore, the algorithm classified 15% of all cases as having chromosomal anomalies, 2% as monogenic syndromes, and 76% as isolated congenital anomalies. The proportion of multiple anomalies varies by congenital anomaly subgroup with up to 35% of cases with bilateral renal agenesis. CONCLUSIONS: The implementation of the EUROCAT computer algorithm is a feasible, efficient, and transparent way to improve classification of congenital anomalies for surveillance and research. Birth Defects Research (Part A) 91:S44-S50, 2011. Ó 2011 Wiley-Liss, Inc.

yields an estimate of 204-8 affected pregnancies at the time of amnio-centesis (157.74 1-0.231). This is 32% less than the number at CVS ([302-204.8]/302). References 1 Macintosh MCM, Wald NJ, Chard T, Hansen J, Mikkelsen M, Therkelsen AJ, Petersen GB, Lundsteen C. The selective miscarriage of Down's syndrome from 10 weeks of pregnancy. Br J Obstet Gynaecoll995; 102: 798-801.

The median maternal serum unconjugated oestriol level between 13 and 27 weeks gestation in 77 pregnancies associated with Down's syndrome was lower than the median level in 385 unaffected control pregnancies matched for maternal age, gestational age, and duration of serum sample storage (P