Temporal changes in key maternal and fetal factors affecting birth outcomes: A 32-year population-based study in an industrial city

<p>Abstract</p> <p>Background</p> <p>The link between maternal factors and birth outcomes is well established. Substantial changes in society and medical care over time have influenced women's reproductive choices and health, subsequently affecting birth outcomes. The objective of this study was to describe temporal changes in key maternal and fetal factors affecting birth outcomes in Newcastle upon Tyne over three decades, 1961–1992.</p> <p>Methods</p> <p>For these descriptive analyses we used data from a population-based birth record database constructed for the historical cohort <b>Pa</b>rticulate <b>M</b>atter and <b>P</b>erinatal <b>E</b>vents <b>R</b>esearch (PAMPER) study. The PAMPER database was created using details from paper-based hospital delivery and neonatal records for all births during 1961–1992 to mothers resident in Newcastle (out of a total of 109,086 singleton births, 97,809 hospital births with relevant information). In addition to hospital records, we used other sources for data collection on births not included in the delivery and neonatal records, for death and stillbirth registrations and for validation.</p> <p>Results</p> <p>The average family size decreased mainly due to a decline in the proportion of families with 3 or more children. The distribution of mean maternal ages in all and in primiparous women was lowest in the mid 1970s, corresponding to a peak in the proportion of teenage mothers. The proportion of older mothers declined until the late 1970s (from 16.5% to 3.4%) followed by a steady increase. Mean birthweight in all and term babies gradually increased from the mid 1970s. The increase in the percentage of preterm birth paralleled a two-fold increase in the percentage of caesarean section among preterm births during the last two decades. The gap between the most affluent and the most deprived groups of the population widened over the three decades.</p> <p>Conclusion</p> <p>Key maternal and fetal factors affecting birth outcomes, such as maternal age, parity, socioeconomic status, birthweight and gestational age, changed substantially during the 32-year period, from 1961 to 1992. The availability of accurate gestational age is extremely important for correct interpretation of trends in birthweight.</p

Fixed and random effects models: making an informed choice

This paper assesses the options available to researchers analysing multilevel (including longitudinal) data, with the aim of supporting good methodological decision-making. Given the confusion in the literature about the key properties of fixed and random effects (FE and RE) models, we present these models’ capabilities and limitations. We also discuss the within-between RE model, sometimes misleadingly labelled a ‘hybrid’ model, showing that it is the most general of the three, with all the strengths of the other two. As such, and because it allows for important extensions—notably random slopes—we argue it should be used (as a starting point at least) in all multilevel analyses. We develop the argument through simulations, evaluating how these models cope with some likely mis-specifications. These simulations reveal that (1) failing to include random slopes can generate anti-conservative standard errors, and (2) assuming random intercepts are Normally distributed, when they are not, introduces only modest biases. These results strengthen the case for the use of, and need for, these models

FUNCTIONAL EVALUATION OF T-CELLS GENERATED FROM WT1-TCR TRANSDUCED HUMAN HEMATOPOIETIC STEM CELLS USING THE OP9-DL1 COCULTURE SYSTEM

Immunobiology of allogeneic stem cell transplantation and immunotherapy of hematological disease

Umbilical cord anomalies are more frequent in twins after assisted reproduction

BACKGROUND: The objective of this study is to analyse differences in cord characteristics between naturally conceived twins and twins born after assisted reproduction. METHODS: Between 1985 and 2004, the East Flanders Prospective Twin Survey (EFPTS) registered 4159 twin pairs. We compared cord characteristics between 2119 naturally conceived dizygotic (DZ) twin members and 2243 DZ twin members originating from assisted reproductive technologies (ART). Data were adjusted for intra-twin correlation, year of birth, maternal age, gestational age, parity, sex of the child and number of placentas. RESULTS: Marginal cord insertion, velamentous cord insertion and single umbilical artery (SUA) occur more frequently in twins following infertility treatment (P \u3c 0.001). The incidence of velamentous cord insertion increases proportionate with ‘invasiveness’ of reproductive techniques: 3.6% in naturally conceived twins versus 5% in twins after artificial induction of ovulation (AIO) [odds ratio (OR) 1.45; 95% confidence interval (CI) 0.99–2.11], 7.4% in twins after IVF (OR 1.49; 95% CI 1.26–1.77) and 10.4% in twins after ICSI (OR 1.31; 95% CI 1.14–1.51). SUA has the highest incidence in twins after AIO: 1.9% compared with 0.6% in naturally conceived twins (OR 3.19; 95% CI 1.66–6.11). CONCLUSIONS: Umbilical cords of twins born after ART have more pathologic characteristics when compared with cords of naturally conceived twins

On the Adjustment for Covariates in Genetic Association Analysis: A Novel, Simple Principle to Infer Direct Causal Effects

In genetic association studies, different complex phenotypes are often associated with the same marker. Such associations can be indicative of pleiotropy (i.e. common genetic causes), of indirect genetic effects via one of these phenotypes, or can be solely attributable to non-genetic/environmental links between the traits. To identify the phenotypes with the inducing genetic association, statistical methodology is needed that is able to distinguish between the different causes of the genetic associations. Here, we propose a simple, general adjustment principle that can be incorporated into many standard genetic association tests which are then able to infer whether an SNP has a direct biological influence on a given trait other than through the SNP's influence on another correlated phenotype. Using simulation studies, we show that, in the presence of a non-marker related link between phenotypes, standard association tests without the proposed adjustment can be biased. In contrast to that, the proposed methodology remains unbiased. Its achieved power levels are identical to those of standard adjustment methods, making the adjustment principle universally applicable in genetic association studies. The principle is illustrated by an application to three genome-wide association analyses