Maternal exposure to incinerator emissions, even at very low levels, was associated with preterm delivery.

Decompression treatment, which is simple to perform and generally well-accepted by patients, is a reliable method to considerably reduce the volume of mandibular odontogenic cystic lesions before surgical removal. Extended decompression time seems to improve results of the reduction process.

Objective Prospective assignment at 11 + 0 to 13 + 6 weeks of risk for late pre-eclampsia (PE) using eight logistic regression-based statistical models.Methods Five hundred and fifty-four pregnancies. Uterine artery pulsatility index, parity, body mass index, mean arterial pressure, pregnancy-associated plasma protein-A, free β-human chorionic gonadotrophin and maternal age, were combined to obtain 'a posteriori risk of PE'.Results We observed 39 cases (7%) of late PE. There were 12 cases of severe PE and 27 of mild PE. According to the models used, the estimated detection rate ranged from 38.5% to 84.6% with a false-positive rate of 10%. The median risk ratio (estimated median risk of PE in affected pregnancies divided by estimated risk of PE in unaffected pregnancies) ranged between 1.66 and 7.61. The most reproducible biochemical-based model was a mixed model encompassing maternal history and pregnancy-associated plasma protein-A.Conclusion Some of the multivariable models drawn from the literature accurately predicted the late PE occurrence. The failure of some models may be because of the population in question not bearing several of the risk factors used to generate the models proposed. An effective combined screening at first trimester for late PE seems possible.

In this note we discuss (Gaussian) intrinsic conditional autoregressive (CAR) models for disconnected graphs, with the aim of providing practical guidelines for how these models should be defined, scaled and implemented. We show how these suggestions can be implemented in two examples on disease mapping.

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IntroductionBirth weight is a strong predictor of infant mortality, morbidity and later disease risk. Previous work from the 1980s indicated a shift in the UK towards heavier births; this descriptive analysis looks at more recent trends.MethodsOffice for National Statistics (ONS) registration data on 17.2 million live, single births from 1986 to 2012 were investigated for temporal trends in mean birth weight, potential years of birth weight change and changes in the proportions of very low (<1500 g), low (<2500 g) and high (≥4000 g) birth weight. Analysis used multiple linear and logistic regression adjusted for maternal age, marital status, area-level deprivation and ethnicity. Additional analyses used the ONS NHS Numbers for Babies data set for 2006–2012, which has information on individual ethnicity and gestational age.ResultsOver 27 years there was an increase in birth weight of 43 g (95% CI 42 to 44) in females and 44 g (95% CI 43 to 45) in males, driven by birth weight increases between 1986–1990 and 2007–2012. There was a concurrent decreased risk of having low birth weight but an 8% increased risk in males and 10% increased risk in females of having high birth weight. For 2006–2012 the birth weight increase was greater in preterm as compared with term births.ConclusionsSince 1986 the birth weight distribution of live, single births in England and Wales has shifted towards heavier births, partly explained by increases in maternal age and non-white ethnicity, as well as changes in deprivation levels. Other potential influences include increases in maternal obesity and reductions in smoking prevalence particularly following the introduction of legislation restricting smoking in public places in 2007.

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