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We carried out an audit of antenatal screening for Down's syndrome using the Integrated test (which provides a single screening result from information collected in the late first and early second trimesters of pregnancy) which was introduced into routine antenatal care at two London hospitals, University College Hospital (UCH) and St Mary's Hospital, in 2003-4. The audit was based on 15,888 women who accepted screening and booked in the first trimester. The Down's syndrome detection rate was 87% (95% confidence interval [CI], 74-95) consistent with an expected detection rate of 89% based on applying the estimates of screening performance of the Serum, Urine and Ultrasound Screening Study (SURUSS) to the maternal age distribution of women who were screened at UCH and St Mary's. The observed false-positive rate was 2.1% (95% CI, 1.9-2.3), compared with an expected of 2.5% for women of the same age. An audit trail (conducted at UCH) indicated that 98% (10,746/10,961) of women accepted integrated screening (2% having a first trimester test) and of these, 94% (10,116) completed both stages of the test. The audit demonstrated that it is feasible to conduct integrated screening within the NHS with a high acceptance rate and a screening performance consistent with that determined from previous research studies. [ABSTRACT FROM AUTHOR]

Our objective was to correlate body mass index (BMI) with mid-arm circumference (MAC) and also to ascertain whether maternal BMI could be calculated from MAC at booking. We approached all Caucasian women who met the inclusion criteria attending the University College Hospital, London between 1 April 1996 and 30 June 1997 and the Rotunda Hospital, Dublin, Ireland between 15 April 2003 and 19 May 2004. A total of 2,912 women agreed to participate in the research. The participants' maternal height and weight were measured. Their BMI was calculated using the formula: BMI == weight (kg) ÷÷ height (m2). The MAC was measured in cm. Statistical analysis was performed using SPSS for Windows version 11 with p < 0.05 as significant. We found that BMI is directly correlated with MAC ( r == 0.836) and estimates of BMI may be calculated from the simple equation BMI == MAC ± 2. Alternatively, a MAC of ≥ 27 cm allowed for a detection rate for overweight patients of 75%, with a false positive rate of 15%. [ABSTRACT FROM AUTHOR]