Incorporating DNA Sequencing into Current Prenatal Screening Practice for Down's Syndrome

PMCID: PMC3604109This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

Growth to early adulthood following extremely preterm birth: the EPICure study.

OBJECTIVE: To investigate growth trajectories from age 2.5 to 19 years in individuals born before 26 weeks of gestation (extremely preterm; EP) compared with term-born controls. METHODS: Multilevel modelling of growth data from the EPICure study, a prospective 1995 birth cohort of 315 EP participants born in the UK and Ireland and 160 term-born controls recruited at school age. Height, weight, head circumference and body mass index (BMI) z-scores were derived from UK standards at ages 2.5, 6, 11 and 19 years. RESULTS: 129 (42%) EP children were assessed at 19 years. EP individuals were on average 4.0 cm shorter and 6.8 kg lighter with a 1.5 cm smaller head circumference relative to controls at 19 years. Relative to controls, EP participants grew faster in weight by 0.06 SD per year (95% CI 0.05 to 0.07), in head circumference by 0.04 SD (95% CI 0.03 to 0.05), but with no catch-up in height. For the EP group, because of weight catch-up between 6 and 19 years, BMI was significantly elevated at 19 years to +0.32 SD; 23.4% had BMI >25 kg/m2 and 6.3% >30 kg/m2 but these proportions were similar to those in control subjects. EP and control participants showed similar pubertal development in early adolescence, which was not associated with height at 19 years in either study group. Growth through childhood was related to birth characteristics and to neonatal feeding practices. CONCLUSIONS: EP participants remained shorter and lighter and had smaller head circumferences than reference data or controls in adulthood but had elevated BMI

Patient safety and estimation of renal function in patients prescribed new oral anticoagulants for stroke prevention in atrial fibrillation

OBJECTIVE: In clinical trials of dabigatran and rivaroxaban for stroke prevention in atrial fibrillation (AF), drug eligibility and dosing were determined using the Cockcroft-Gault equation to estimate creatine clearance as a measure of renal function. This cross-sectional study aimed to compare whether using estimated glomerular filtration rate (eGFR) by the widely available and widely used Modified Diet in Renal Disease (MDRD) equation would alter prescribing or dosing of the renally excreted new oral anticoagulants. PARTICIPANTS: Of 4712 patients with known AF within a general practitioner-registered population of 930 079 in east London, data were available enabling renal function to be calculated by both Cockcroft-Gault and MDRD methods in 4120 (87.4%). RESULTS: Of 4120 patients, 2706 were <80 years and 1414 were ≥80 years of age. Among those ≥80 years, 14.9% were ineligible for dabigatran according to Cockcroft-Gault equation but would have been judged eligible applying MDRD method. For those <80 years, 0.8% would have been incorrectly judged eligible for dabigatran and 5.3% would have received too high a dose. For rivaroxaban, 0.3% would have been incorrectly judged eligible for treatment and 13.5% would have received too high a dose. CONCLUSIONS: Were the MDRD-derived eGFR to be used instead of Cockcroft-Gault in prescribing these new agents, many elderly patients with AF would either incorrectly become eligible for them or would receive too high a dose. Safety has not been established using the MDRD equation, a concern since the risk of major bleeding would be increased in patients with unsuspected renal impairment. Given the potentially widespread use of these agents, particularly in primary care, regulatory authorities and drug companies should alert UK doctors of the need to use the Cockcroft-Gault formula to calculate eligibility for and dosing of the new oral anticoagulants in elderly patients with AF and not rely on the MDRD-derived eGFR

Identifying signals of potentially harmful medications in pregnancy: use of the double false discovery rate method to adjust for multiple testing.

AIMS: Surveillance of medication use in pregnancy is essential to identify associations between first trimester medications and congenital anomalies (CAs). Medications in the same Anatomical Therapeutic Chemical classes may have similar effects. We aimed to use this information to improve the detection of potential teratogens in CA surveillance data. METHODS: Data on 15 058 malformed fetuses with first trimester medication exposures from 1995-2011 were available from EUROmediCAT, a network of European CA registries. For each medication-CA combination, the proportion of the CA in fetuses with the medication was compared to the proportion of the CA in all other fetuses in the dataset. The Australian classification system was used to identify high-risk medications in order to compare two methods of controlling the false discovery rate (FDR): a single FDR applied across all combinations, and a double FDR incorporating groupings of medications. RESULTS: There were 28 765 potential combinations (523 medications × 55 CAs) for analysis. An FDR cut-off of 50% resulted in a reasonable effective workload, for which single FDR gave rise to eight medication signals (three high-risk medications) and double FDR 50% identified 16 signals (six high-risk). Over a range of FDR cut-offs, double FDR identified more high-risk medications as signals, for comparable effective workloads. CONCLUSIONS: The double FDR method appears to improve the detection of potential teratogens in comparison to the single FDR, while maintaining a low risk of false positives. Use of double FDR is recommended in routine signal detection analyses of CA data

Prevalence of Down's Syndrome in England, 1998-2013: Comparison of linked surveillance data and electronic health records.

Introduction: Disease registers and electronic health records are valuable resources for disease surveillance and research but can be limited by variation in data quality over time. Quality may be limited in terms of the accuracy of clinical information, of the internal linkage that supports person-based analysis of most administrative datasets, or by errors in linkage between multiple datasets. Objectives: By linking the National Down Syndrome Cytogenetic Register (NDSCR) to Hospital Episode Statistics for England (HES), we aimed to assess the quality of each and establish a consistent approach for analysis of trends in prevalence of Down's syndrome among live births in England. Methods: Probabilistic record linkage of NDSCR to HES for the period 1998-2013 was supported by linkage of babies to mothers within HES. Comparison of prevalence estimates in England were made using NDSCR only, HES data only, and linked data. Capture-recapture analysis and quantitative bias analysis were used to account for potential errors, including false positive diagnostic codes, unrecorded diagnoses, and linkage error. Results: Analyses of single-source data indicated increasing live birth prevalence of Down's Syndrome, particularly in the analysis of HES. Linked data indicated a contrastingly stable prevalence of 12.3 (plausible range: 11.6-12.7) cases per 10 000 live births. Conclusion: Case ascertainment in NDSCR improved slightly over time, creating a picture of slowly increasing prevalence. The emerging epidemic suggested by HES primarily reflects improving linkage within HES (assignment of unique patient identifiers to hospital episodes). Administrative data are valuable but trends should be interpreted with caution, and with assessment of data quality over time. Data linkage with quantitative bias analysis can provide more robust estimation and, in this case, stronger evidence that prevalence is not increasing. Routine linkage of administrative and register data can enhance the value of each

European trends in mortality in children with congenital anomalies: 2000–2015

Objective To investigate if the survival of children with congenital anomalies has improved from 2000 to 2015 and whether there is heterogeneity in the improvements across Europe. Design Population‐based study of routine collected data from the WHO database on mortality and causes. Setting Data on 31 European countries from 2000 to 2015. Main outcome measures All‐cause and congenital anomaly mortality rates for infants and children up to age 9 in countries and regions of Europe. Results The relative odds of all‐cause mortality in 2015 compared with 2000 was 0.54 (95% CI: 0.50–0.59) for under 1, 0.48 (95% CI: 0.44–0.53) for ages 1–4, and 0.53 (95% CI: 0.49–0.56) for ages 5–9 with the relative odds of mortality from congenital anomalies being 0.49 (95% CI: 0.44–0.55), 0.51 (95% CI: 0.44–0.60), and 0.65 (95% CI: 0.53–0.80), respectively. The proportion of deaths from congenital anomalies remained relatively constant over time (26, 16, and 9% for under 1, ages 1–4, and ages 5–9, respectively) and was similar in all regions of Europe. For mortality from all causes and from congenital anomalies heterogeneity between countries and regions of Europe was high, with the countries in Eastern Europe having higher rates, but also experiencing greater relative reductions in mortality from 2000 to 2015. Conclusion There was a large geo‐spatial disparity in all cause and congenital anomaly mortality for infants and children up to 9. However, all regions saw a significant decrease in all cause and congenital anomaly mortality rates, with the proportions of deaths from congenital anomalies remaining constant over this time

Maternal age in the epidemiology of common autosomal trisomies

The birth prevalence rate of each common autosomal trisomy generally increases with advancing maternal age and there is a substantial fetal loss rate between late first trimester and term. The literature is reviewed in order to provide the best estimates of these rates, taking account where possible of biases due to prenatal diagnosis and selective termination of pregnancy. There is an almost exponential increase in Down syndrome birth prevalence between ages 15 and 45 but at older ages the curve flattens. There is no evidence of the claimed relatively high birth prevalence at extremely low ages. Gestation‐specific intra‐uterine fetal loss rates are estimated by follow‐up of women declining termination of pregnancy after prenatal diagnosis, comparison of observed rates with those expected from birth prevalence and comparison of age‐specific curves developed for prenatal diagnosis and birth. Down syndrome fetal loss rates reduce with gestation and increase with maternal age. Edwards and Patau syndrome birth prevalence is approximately 1/8 and 1/13 that of Down syndrome overall, although the ratio differs according to maternal age, particularly for Patau syndrome where it reduces steadily from 1/9 to 1/19. Fetal loss rates are higher for Edwards and Patau syndromes than for Down syndrome

Chromosomal disorders:estimating baseline birth prevalence and pregnancy outcomes worldwide

Chromosomal disorders, of which Down syndrome is the most common, can cause multi-domain disability. In addition, compared to the general population, there is a higher frequency of death before the age of five. In many settings, large gaps in data availability have hampered policy-making, programme priorities and resource allocation for these important conditions. We have developed methods, which overcome this lack of data and allow estimation of the burden of affected pregnancies and their outcomes in different settings worldwide. For example, the methods include a simple equation relating the percentage of mothers 35 and over to Down syndrome birth prevalence. The results obtained provide a starting point for consideration of services that can be implemented for the care and prevention of these disorders