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Purpose: To investigate the associations between levels of serum calcium and phosphate and subsequent death from aortic stenosis, and the implications for prevention.Methods: A prospective (nested case-control) analysis of serum calcium and phosphate levels was performed in stored samples from the British United Provident Association prospective study of 21 520 men aged 35-64, followed for up to 32 years. There were 49 men without baseline valvular heart disease who subsequently died of aortic stenosis. Each was matched, for age, duration of sample storage and number of freeze-thaw cycles, with four unaffected control subjects. Odds ratios for death from aortic stenosis were estimated by logistic regression.Results: Mean serum calcium concentration was higher in men who died of aortic stenosis than in those who did not (2.44 vs. 2.39 mmol L-1 ; P = 0.01). The risk of death from aortic stenosis in the highest calcium tertile was 2.87-fold higher than in the lowest tertile (95% confidence interval 1.22-6.76). There was a continuous dose-response relationship; risk of death from aortic stenosis increased by 51% (11-105%) per 0.1 mmol L-1 increase in serum calcium, equivalent to a 34% (10-52%) lower risk per 0.1 mmol L-1 decrease. Serum phosphate was not significantly higher in men who died of aortic stenosis than in those who did not (1.0 vs. 0.99 mmol L-1 ; P = 0.76).Conclusions: The association between serum calcium and subsequent mortality from aortic stenosis is of potential preventive significance. If confirmed quantitatively in other similar cohort studies, the results suggest that a very small reduction in serum calcium (about 5%) could translate into a large (about one-third) reduction in aortic stenosis. [ABSTRACT FROM AUTHOR]

Objective: In 1991, the Medical Research Council (MRC) Vitamin Study demonstrated that folic acid taken before pregnancy and in early pregnancy reduced the risk of a neural tube defect (NTD). We aimed to estimate the number of NTD pregnancies that would have been prevented if flour had been fortified with folic acid in the UK from 1998 as it had been in the USA.Design: Estimates of NTD prevalence, the preventive effect of folic acid and the proportion of women taking folic acid supplements before pregnancy were used to predict the number of NTD pregnancies that would have been prevented if folic acid fortification had been implemented.Setting: Eight congenital anomaly registers in England and Wales.Main Outcome Measures: The prevalence of pregnancies with an NTD in the UK and the number of these pregnancies that would have been prevented if folic acid fortification had been implemented.Results: From 1991 to 2012, the prevalence of NTD pregnancies was 1.28 (95% CI 1.24 to 1.31) per 1000 total births (19% live births, 81% terminations and 0.5% stillbirths and fetal deaths ≥20 weeks' gestation). If the USA levels of folic acid fortification from 1998 onwards had been adopted in the UK, an estimated 2014 fewer NTD pregnancies would have occurred.Conclusions: Failure to implement folic acid fortification in the UK has caused, and continues to cause, avoidable terminations of pregnancy, stillbirths, neonatal deaths and permanent serious disability in surviving children. [ABSTRACT FROM AUTHOR]

Several letters to the editor and a reply are presented in response to the article "Aspirin in the prevention of cancer," by Peter Rothwell and colleagues that was published in the January 1, 2011 issue.

Insulin signaling depends on tyrosine phosphorylation of insulin receptor substrates (IRSs) to mediate downstream effects; however, elevated serine phosphorylation of IRS impairs insulin signaling. Here, we investigated IRS protein expression patterns in dorsal root ganglia (DRG) of mice and whether their signaling was affected by diabetes. Both IRS1 and IRS2 are expressed in DRG; however, IRS2 appears to be the prevalent isoform and is expressed by many DRG neuronal subtypes. Phosphorylation of Ser(731)IRS2 was significantly elevated in DRG neurons from type 1 and type 2 diabetic mice. Additionally, Akt activation and neurite outgrowth in response to insulin were significantly decreased in DRG cultures from diabetic ob/ob mice. These results suggest that DRG neurons express IRS proteins that are altered by diabetes similar to other peripheral tissues, and insulin signaling downstream of the insulin receptormay be impaired in sensory neurons and contribute to the pathogenesis of diabetic neuropathy. [ABSTRACT FROM AUTHOR]

Objective To illustrate regional changes that occurred in screening for Down's syndrome (trisomy 21) in England and Wales from 1989 to 2008. Methods The National Down Syndrome Cytogenetic Register has collected data on all ante- and postnatal diagnoses of Down's syndrome in England and Wales since 1989 (n = 27,954). The percentages of (i) diagnoses made antenatally, (ii) antenatal diagnoses that had nuchal translucency (NT) measured, and (iii) antenatal diagnoses in mothers aged 37 and over with advanced maternal age as the sole recorded indication for diagnosis are presented according to where the mother lived Government Office Region), year of diagnosis (1989-1994, 1995-2000, 2001-2006, 2007-2008), and maternal age (<37 years, ≥37 years). Results The percentage of cases diagnosed antenatally has increased in younger women but varies between regions. It remained relatively constant at approximately 70% in older women. The use of NT measurement in antenatal screening has expanded rapidly but varies regionally, being most common in London and the South East where, in 2007-2008, over 75% of antenatal diagnoses in older women had NT measured. The sole indication of advanced maternal age has substantially reduced, and was less than 10% in older mothers in all regions in 2007-2008. Conclusions There are regional and maternal age variations in Down's syndrome screening and diagnosis. Some regions used NT measurements, and eliminated advanced maternal age as sole reason for antenatal diagnostic testing more quickly than others. The reasons for variations need to be identified and addressed to ensure that when new screening techniques become available, regional differences are minimized. [ABSTRACT FROM AUTHOR]

Objectives Antenatal screening for Down's syndrome relies on the use of multiple markers in combination. Markers that are highly correlated can cause statistical instability. We used the maximum variance inflation factor (VIFmax) to determine whether a screening test using multiple markers was robust to imprecision in the estimation of the marker distribution parameters. Methods The VIFmax for a specified screening test was calculated from the correlations between markers in Down's syndrome pregnancies for six tests: integrated and serum integrated tests without repeat measurements, both tests with repeat measurements across trimesters analysed in the standard way, and both tests with repeat measurements analysed as cross-trimester (CT) marker ratios. The screening performance of each test using published parameter values, in terms of the false-negative rates for a 3% false-positive rate (FN3), were calculated for simulated populations with medians 0.2 standard deviations (SD) higher or lower than the published values (to reflect imprecision in parameter estimation) for pregnancy-associated plasma protein A and unconjugated oestriol in affected pregnancies. For each test, the VIFmax value was compared with the coefficient of variation of the FN3 (FN3 CV). An independent set of 27 Down's syndrome pregnancies was used to determine how many had meaningless low risks (,1 in 10,000) with each test. Results Tests with VIFmax values greater than 5 had FN3CV values over 50%, but those with VIFmax values less than 5 had FN3 CV values less than 21%. The numbers of Down's syndrome pregnancies with meaningless low risk estimates in the independent set were 18 (64%) in tests with VIFmax values ≥5 and none for those with values >5. Conclusion VIFmax values of 5 or more suggest instability. The tests using CT marker ratios were stable (VIFmax < 3), but the tests using repeat measurements in the standard manner were not (VIFmax > 5). [ABSTRACT FROM AUTHOR]

Objectives: It is widely thought that correlations between screening markers will tend to degrade screening performance. We performed a computer simulation study to investigate the quantitative effect of correlations between two markers on screening performance, using prenatal screening for Down's syndrome as an example, although the results apply generally. Methods: Monte Carlo simulation was used to generate values of two hypothetical markers, A and B, in 1000 affected and 1000 unaffected pregnancies. The means, standard deviations and correlations of A and B were varied in five different examples. Results: If markers A and B are, on average, higher in affected than unaffected pregnancies and each marker, individually, has the same detection rate for a given false-positive rate (i.e. the same screening performance), then the screening performance of A and B together tends to decrease as A and B become more positively correlated with each other (within affected or unaffected categories) and tends to increase as A and B become more negatively correlated. If A is, on average, higher in affected pregnancies and B is, on average, lower in affected pregnancies (but again each marker has the same screening performance), the opposite pattern is observed; screening performance increases as A and B become more positively correlated and screening performance decreases as they become more negatively correlated. If A and B have unequal screening performances, modest correlations between A and B have little effect on the screening performance of A and B together, but when the correlations are strong whether positive or negative (with r values greater than about 0.45 or less than -0.45) screening performance progressively increases. Conclusion: Correlations between screening markers considered separately in affected and unaffected pregnancies can either decrease or increase screening performance. In practice, these effects are usually modest, because most screening markers are not highly correlated with each other and the effects become important only with strong correlations, whether positive or negative. [ABSTRACT FROM AUTHOR]

Objectives: To determine the prevalence of pregnancies with a neural tube defect (NTD) in England and Wales between 1964 and 2004 and to estimate the relative impact of antenatal screening and a change in the incidence of these defects on the prevalence of births with NTDs. Settings: Use of data published by the Office for National Statistics (ONS) on terminations of pregnancies with an NTD and births with an NTD from 1964 to 2004. Methods: Estimates were made of the total number of terminations of pregnancies and births with an NTD by taking account of the under-reporting of these terminations and births using a previously described method. In 1995 ONS started to report the number of terminations with an NTD rather than the total numbers of terminations with a central nervous system (CNS) malformation that had previously been used to estimate the number of NTD terminations. Adjustment was made for this and new estimates of the total number of NTD pregnancies were produced to 2004. Results: There were an estimated 969 pregnancies with NTDs (168 (17%) births and 801(83%) terminations) in England and Wales in 2004. An estimated 44% of NTD terminations and 32% of births were not reported as such. The birth prevalence per 1000 decreased fallen 93% from 3.6 in 1964 to 0.3 in 2004, 59% due to an underlying decrease in the prevalence of NTDs and 34% due to screening diagnosis and subsequent termination of affected pregnancies. Conclusion: The prevalence of NTD pregnancies decreased by around two per 1000 from 1964 to 1990 and thereafter remained fairly constant. The prevalence of NTD pregnancies is substantially underestimated if it is based only on reported NTD births (by 88%) and also if it is based on reported NTD births and terminations (by 52%), because most NTD pregnancies in England and Wales are terminated following antenatal screening and most of these terminations are not reported. [ABSTRACT FROM AUTHOR]

Objective: To validate empirically the accuracy of antenatal Down's syndrome screening using the Integrated test, to compare this with other screening tests (including the Integrated test with the addition of cross trimester [CT] marker ratios) and to suggest how such validation analyses should be presented and interpreted. Methods: Using data from 7809 unaffected and 27 Down's syndrome pregnancies that had had an Integrated test, risk estimates for various screening tests (maternal age, Double, Triple, Quadruple, Combined, Integrated and serum Integrated tests) that use Integrated test markers were categorized according to quintile categories of risk estimates of the 27 affected pregnancies. For each screening test, the median risk estimate for each category was plotted against the observed prevalence within each category. Such validation plots were also produced for the Integrated test with CT marker ratios by measuring the level of the serum markers in the trimester of pregnancy not already measured in stored samples of all affected and a one-in-five sample of unaffected pregnancies. The robustness of the method was assessed by repeating the analysis for the Integrated test after re-classifying affected pregnancies with low risk estimates as unaffected, simulating the underascertainment of cases. Results: The validation plots (i) confirmed the accuracy of risk estimation for the different tests (by how close the points lay to the line of identity between predicted risk and observed prevalence), (ii) demonstrated the differences in screening performance of the different tests (by the range of risk spanned by the points and, in particular, the separation between the points representing the lowest risk and the next point), and (iii) are robust to underascertainment of affected pregnancies (by having little influence on the closeness of the points to the line of identity). Conclusion: The validation plot is a useful, simple and robust way to assess the validity of new screening methods, to assess the accuracy of risk estimation and to audit the performance of screening programmes. [ABSTRACT FROM AUTHOR]

Insulin-like growth factor-1 (IGF-1), insulin-like growth factor-2 (IGF-2), and insulin-like growth factor binding protein-3 (IGFBP-3) were measured in frozen serum samples from 1051 men with cancer and 3142 controls in a nested case-control study from the British United Provident Association (BUPA) study cohort and associations with 14 cancers were examined, including prostate, colorectal, and lung. A meta-analysis of studies on these three cancer sites was also conducted. In the meta-analysis the odds ratio between the highest quartile IGF-1 group and the lowest quartile group was 1.31 (95% confidence interval (CI): 1.03-1.67) for prostate, 1.37 (1.05-1.78) for colorectal and 1.02 (0.80-1.31) for lung cancer, and for IGF-2 it was 0.72 (0.36-1.44) for prostate and 1.95 (1.26-3.00) for colorectal cancer. Results from the BUPA study were consistent with the estimates from the other studies. There were no statistically significant associations with IGFBP-3 and any of the cancer sites considered. Our results suggest that IGF-1, IGF-2, and IGFBP-3 measurements have no value in cancer screening, although IGF-1 and IGF-2 may be of aetiological significance in relation to colorectal and prostate cancer. [ABSTRACT FROM AUTHOR]

Objective: The screening performance of tests involving multiple markers is usually presented visually as two Gaussian relative frequency distributions of risk, one curve relating to affected and the other to unaffected individuals. If the distribution of the underlying screening markers is approximately Gaussian, risk estimates based on the same markers will usually also be approximately Gaussian. However, this approximation sometimes fails. Here we examine the circumstances when this occurs. Setting: A theoretical statistical analysis. Methods: Hypothetical log Gaussian relative distributions of affected and unaffected individuals were generated for three antenatal screening markers for Down's syndrome. Log likelihood ratios were calculated for each marker value and plots of the relative frequency distributions were compared with plots of Gaussian distributions based on the means and standard deviations of these log likelihood ratios. Results: When the standard deviations of the distributions of a perfectly Gaussian screening marker are similar in affected and unaffected individuals, the distributions of risk estimates are also approximately Gaussian. If the standard deviations differ materially, incorrectly assuming that the distributions of the risk estimates are Gaussian creates a graphical anomaly in which the distributions of risk in affected and unaffected individuals plotted on a continuous risk scale intersect in two places. This is theoretically impossible. Plotting the risk distributions empirically reveals that all individuals have an estimated risk above a specified value. For individuals with more extreme marker values, the risk estimates reverse and increase instead of continuing to decrease. Conclusion: It is useful to check whether a Gaussian approximation for the distribution of risk estimates based on a screening marker is valid. If the value of the marker level at which risk reversal occurs lies within the set truncation limits, these may need to be reset, and a Gaussian model may be inappropriate to illustrate the risk distributions. [ABSTRACT FROM AUTHOR]

This paper summarises the main evidence and conclusions relating to using blood pressure measurement as a screening test to identify people who will develop ischaemic heart disease (IHD) or stroke, as recently published in a Health Technology Assessment report1. While blood pressure is recognised as an important cause of stroke and IHD, and lowering blood pressure can substantially lower the risk of these diseases, the measurement of blood pressure is a poor screening test. It is not good in distinguishing those who will and will not develop these diseases. The poor screening performance is illustrated by the findings that in the largest cohort study, persons in the top 10% of the distribution of systolic blood pressure experienced only 21% of all IHD events and 28% of all strokes at a given age. Using several cardiovascular risk factors in combination does not add materially to the poor screening performance of blood pressure alone. Among persons in a specified age group, the 5% at highest risk experience 17% of all heart disease deaths with risk computation based on blood pressure alone, 22% when based on blood pressure and apolipoprotein B (or LDL cholesterol) in combination, and only 28% using these two, smoking and three other cardiovascular risk factors all in combination. Identifying patients at the time of hospital discharge following myocardial infarction or stroke is the most effective screening test to identify those who will die of cardiovascular disease. In patients with a history of myocardial infarction or stroke the cardiovascular death rate in the absence of treatment is about 5% per year, a risk that persists for at least 15 years. In the absence of treatment, about half of all deaths from heart disease in a population occur after hospital discharge following the first infarct. Among persons with no history of cardiovascular disease, age is a better screening test than the reversible risk factors, and the best policy is to offer treatment to all persons above a specified age such as 55 years. [ABSTRACT FROM AUTHOR]

Objectives: To revise the estimates of maternal age specific live birth prevalence of Down's syndrome in the absence of antenatal screening and selective termination using newly available data. Setting and Design: Data were used from the National Down Syndrome Cytogenetic Register (NDSCR), which contains information on nearly all antenatally or postnatally diagnosed cases of Down's syndrome in which a karyotype was confirmed between 1989 and 1998 in England and Wales. It is the largest single series of data on the prevalence of Down's syndrome. Results and conclusion: The prevalence does not continue increasing at an increasing rate with age above age 45 as has been previously assumed. Above this age the rate of increase declines with increasing age. The overall age pattern is sigmoidal. A new logit logistic model is proposed which fits the data well. The risk of a Down's syndrome live birth is given by: risk=1/(1+exp(7.330-4.211/(1+exp(-0.282x(age-37.23))))). [ABSTRACT FROM AUTHOR]