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Objectives: Silica is one of the most common occupational exposures worldwide. In 1997 the International Agency for Research on Cancer (IARC) classified inhaled crystalline silica as a human carcinogen (group 1), but acknowledged limitations in the epidemiologic data, including inconsistencies across studies and the lack of extensive exposure–response data. We have conducted a pooled exposure–response analysis of 10 silica-exposed cohorts to investigate lung cancer. Methods: The pooled cohort included 65,980 workers (44,160 miners, 21,820 nominees), and 1072 lung cancer deaths (663 miners, 409 nonminers). Follow-up has been extended for five of these cohorts beyond published data. Quantitative exposure estimates by job and calendar time were adopted, modified, or developed to permit common analyses by respirable silica (mg/m3) across cohorts. Results: The log of cumulative exposure, with a 15-year lag, was a strong predictor of lung cancer ( p = 0.0001), with consistency across studies (test for heterogeneity, p = 0.34). Results for the log of cumulative exposure were consistent between underground mines and other facilities. Categorical analyses by quintile of cumulative exposure resulted in a monotonic trend with odds ratios of 1.0, 1.0, 1.3, 1.5, 1.6. Analyses using a spline curve also showed a monotonic increase in risk with increasing exposure. The estimated excess lifetime risk (through age 75) of lung cancer for a worker exposed from age 20 to 65 at 0.1 mg/m3 respirable crystalline silica (the permissible level in many countries) was 1.1–1.7%, above background risks of 3–6%. Conclusions: Our results support the decision by the IARC to classify inhaled silica in occupational settings as a carcinogen, and suggest that the current exposure limits in many countries may be inadequate. These data represent the first quantitative exposure–response analysis and risk assessment for silica using data from multiple studies. [ABSTRACT FROM AUTHOR]

This study re-examines the proposal that beta-adrenoceptor blockers with intrinsic sympathomimetic activity decrease plasma noradrenaline levels. Thirteen patients (aged 29-65 years) with uncomplicated essential hypertension were randomly allocated to a three period, double-blind cross-over trial. The treatment periods, each of 3 weeks duration, were composed of placebo, pindolol (5 mg twice daily) and metoprolol (100 mg twice daily), dispensed in identical capsules. At the end of each treatment period, patients were exercised on a bicycle ergometer to a predetermined workload. Blood pressure and heart rate were measured before, immediately on completion of exercise and after 10 min post-exercise rest. Blood samples for plasma noradrenaline and adrenaline determination were also collected at these times. Blood pressures were similar during treatment with pindolol and metoprolol. As expected, heart rate was consistently lower during metoprolol treatment. Basal, pre-exercise plasma noradrenaline and adrenaline were similar at the end of each treatment period. However, the increase following exercise was significantly greater during metoprolol treatment. The post-exercise increase during pindolol treatment was indistinguishable from that in the placebo period. These findings, in a randomised placebo-controlled study, therefore demonstrate that pindolol does not influence basal or exercise-stimulated plasma noradrenaline and adrenaline concentrations. This is best explained by a lack of effect of pindolol on the plasma clearance of catecholamines, which is impaired by beta-adrenoceptor blockers devoid of intrinsic sympathomimetic activity. [ABSTRACT FROM AUTHOR]

Background: Several previous studies have highlighted the strong Th2-polarising and IgE-promoting activity of the DTaP vaccine, but there is no evidence that this has pathological consequences and accordingly there is no current interest amongst vaccine developers in reformulating DTaP to attenuate these properties. In light of an apparent resurgence in pertussis in many countries, and emerging evidence from other areas of paediatric immunology of IgE-mediated interference with host defence mechanisms, this issue requires more detailed clarification., Methods: We have re-evaluated the impact of DTaP-only versus mixed DTwP/DTaP vaccination on Th2-dependent "bystander" IgE responses in three cohorts of children under different priming conditions, encompassing both vaccine-targeted and unrelated antigens including food allergens., Results: We confirm the generalised IgE-trophic activity of the DTaP vaccine in pre-schoolers and demonstrate similar (albeit transient) effects in infants. We additionally demonstrate that use of an alternative mixed infant priming schedule encompassing an initial dose of DTwP significantly attenuates this property., Interpretation: Central to our interpretation of these findings are studies demonstrating: (i) mixed DTwP/DTaP priming improves resistance to pertussis disease and attenuates the IgE-stimulatory component of long term vaccine-specific memory; (ii) IgE-mediated mechanisms can interfere with innate antiviral immunity and accordingly exacerbate airway symptoms in infected children. These observations, taken together with the data presented here, suggest a plausible mechanistic link between baseline pertussis-specific IgE titres in DTaP vaccinees and susceptibility to pertussis disease, which merits testing. Retrospective IgE analyses on sera collected from children at the time of presentation with pertussis could resolve this issue., (Copyright © 2016 Elsevier Ltd. All rights reserved.)

Background: Research in modern biomedicine and social science requires sample sizes so large that they can often only be achieved through a pooled co-analysis of data from several studies. But the pooling of information from individuals in a central database that may be queried by researchers raises important ethico-legal questions and can be controversial. In the UK this has been highlighted by recent debate and controversy relating to the UK's proposed 'care.data' initiative, and these issues reflect important societal and professional concerns about privacy, confidentiality and intellectual property. DataSHIELD provides a novel technological solution that can circumvent some of the most basic challenges in facilitating the access of researchers and other healthcare professionals to individual-level data., Methods: Commands are sent from a central analysis computer (AC) to several data computers (DCs) storing the data to be co-analysed. The data sets are analysed simultaneously but in parallel. The separate parallelized analyses are linked by non-disclosive summary statistics and commands transmitted back and forth between the DCs and the AC. This paper describes the technical implementation of DataSHIELD using a modified R statistical environment linked to an Opal database deployed behind the computer firewall of each DC. Analysis is controlled through a standard R environment at the AC., Results: Based on this Opal/R implementation, DataSHIELD is currently used by the Healthy Obese Project and the Environmental Core Project (BioSHaRE-EU) for the federated analysis of 10 data sets across eight European countries, and this illustrates the opportunities and challenges presented by the DataSHIELD approach., Conclusions: DataSHIELD facilitates important research in settings where: (i) a co-analysis of individual-level data from several studies is scientifically necessary but governance restrictions prohibit the release or sharing of some of the required data, and/or render data access unacceptably slow; (ii) a research group (e.g. in a developing nation) is particularly vulnerable to loss of intellectual property-the researchers want to fully share the information held in their data with national and international collaborators, but do not wish to hand over the physical data themselves; and (iii) a data set is to be included in an individual-level co-analysis but the physical size of the data precludes direct transfer to a new site for analysis., (© The Author 2014; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.)

Objective: To characterise changing risk factors of preterm birth in Western Australia between 1984 and 2006., Design: Population-based study., Setting: Western Australia., Population: All non-Aboriginal women giving birth to live singleton infants between 1984 and 2006., Methods: Multinomial, multivariable regression models were used to assess antecedent profiles by preterm status and labour onset types (spontaneous, medically indicated, prelabour rupture of membranes [PROM]). Population attributable fraction (PAF) estimates characterized the contribution of individual antecedents as well as the overall contribution of two antecedent groups: pre-existing medical conditions (including previous obstetric history) and pregnancy complications., Main Outcome Measure: Antecedent relationships with preterm birth, stratified by labour onset type., Results: Marked increases in maternal age and primiparous births were observed. A four-fold increase in the rates of pre-existing medical complications over time was observed. Rates of pregnancy complications remained stable. Multinomial regression showed differences in antecedent profiles across labour onset types. PAF estimates indicated that 50% of medically indicated preterm deliveries could be eliminated after removing six antecedents from the population; estimates for PROM and spontaneous preterm reduction were between 10 and 20%. Variables pertaining to previous and current obstetric complications (previous preterm birth, previous caesarean section, pre-eclampsia and antepartum haemorrhage) were the most influential predictors of preterm birth and adverse labour onset (PROM and medically indicated)., Conclusions: Preterm antecedent profiles have changed markedly over the 23 years studied. Some changes may be attributable to true change, others to advances in surveillance and detection. Still others may signify change in clinical practice., (© 2013 The Authors BJOG An International Journal of Obstetrics and Gynaecology © 2013 RCOG.)

Objective: To describe the rate of and demographic factors associated with fetal postmortem investigation and to classify the cause of all fetal deaths that underwent postmortem investigation. To compare the proportion of deaths remaining unexplained after postmortem investigation with estimates derived from death certificates., Method: All fetal deaths in Western Australia (WA) from 1990 to 1999 were identified. These data were used to calculate postmortem rates and describe the characteristics of women consenting to postmortems. A multidisciplinary team classified the cause of all deaths that underwent postmortem investigation using the Perinatal Society of Australia and New Zealand Perinatal Death Classification System. The proportion of deaths that were unexplained was compared with estimates based on death certificates., Results: Of the 1,619 fetal deaths recorded for 1990 to 1999, 49% (n=789) underwent complete postmortem investigation. Based on investigations, 22% of the 789 fetal deaths were unexplained and a further 18% were identified as having fetal growth restriction. Based on death certificates, 42% were unexplained and 65% were later explained by postmortem investigation., Conclusion and Implications: Postmortem investigation rates are low. They reveal a cause of death for the majority of cases that are unexplained clinically. Epidemiological investigations of unexplained fetal death based on cases not subject to complete postmortem investigation may lead to inaccurate conclusions. A standardised definition for unexplained fetal deaths that distinguishes between cases with detailed investigation and those with limited or no investigation is needed.

Background: Gene-environment interactions play central roles in controlling postnatal maturation of immune function, but their effects on infant vaccine responses are unknown. Genetic variants associated with atopy and the environmental factor of exposure to parental smoking (PS) of tobacco independently alter immune responses., Objective: We sought to investigate the hypothesis that genetic variants associated with atopy and their interaction with PS influence infant vaccine responsiveness., Methods: In 200 infants with parental atopic history, relationships were sought between polymorphisms in the IL-4, IL-4 receptor alpha (IL-4Ralpha), and IL-13 genes; PS; and immune responses to diphtheria/tetanus vaccination., Results: Analyses stratified by PS unmasked negative associations between atopic alleles of these genes and vaccine outcomes. The most consistent involved the IL-4Ralpha 551 QR/QQ genotypes, which were associated with reduced IgG levels (P = .02) and T-cell responses (IFN-gamma, P = .002; IL-10, P = .01; 1L-13, P = .01; IL-5, P = .06) to tetanus toxoid and parallel reductions in polyclonal T-cell responses and innate immune responses in PS-exposed infants., Conclusion: PS potentiates suppressive effects of variants in immune response genes in children. These effects are not observed in the absence of this exposure. Ultimately, this finding might have implications for infant vaccination in countries with high smoking rates. It might also have broader implications in relation to environmental toxicology because it demonstrates specific mechanisms through which the developing immune system might be differentially sensitive to low-level toxicant exposures., Clinical Implications: PS interacts with genes associated with atopy to impair vaccine responses. These interactions might have vaccine design and public health implications.

Background: Comprehensive quantitative silica exposure estimates over time, measured in the same units across a number of cohorts, would make possible a pooled exposure-response analysis for lung cancer. Such an analysis would help clarify the continuing controversy regarding whether silica causes lung cancer., Methods: Existing quantitative exposure data for 10 silica-exposed cohorts were retrieved from the original investigators. Occupation- and time-specific exposure estimates were either adopted/adapted or developed for each cohort, and converted to milligram per cubic meter (mg/m(3)) respirable crystalline silica., Results: Quantitative exposure assignments were typically based on a large number (thousands) of raw measurements, or otherwise consisted of exposure estimates by experts (for two cohorts). Median exposure level of the cohorts ranged between 0.04 and 0.59 mg/m(3) respirable crystalline silica. Exposure estimates were partially validated via their successful prediction of silicosis in these cohorts., Conclusions: Existing data were successfully adopted or modified to create comparable quantitative exposure estimates over time for 10 silica-exposed cohorts, permitting a pooled exposure-response analysis. The difficulties encountered in deriving common exposure estimates across cohorts are discussed., (Copyright 2002 Wiley-Liss, Inc.)