Basal or stress-induced cortisol and asthma development:the TRAILS study

<p>We examined the association between: 1) cortisol levels and asthma or asthma development; 2) cortisol levels upon stress and asthma. In addition, we performed a post hoc meta-analysis on results from the literature.</p><p>Cortisol, cortisol upon stress, asthma (doctor diagnosis of asthma and/or symptoms and/or treatment in the past 12 months) and asthma development (asthma at a specific survey while not having asthma at the previous survey(s)) were assessed in the TRAILS study (n=2230, mean age at survey 1 11 years, survey 2 14 years and survey 3 16 years). Logistic regression models were used to study associations between: 1) cortisol (cortisol awakening response, area under the curve (AUC) with respect to the ground (AUCg) or with respect to the increase (AUCi), and evening cortisol) and asthma or asthma development; 2) cortisol upon stress (AUCg or AUCi) and asthma. The meta-analyses included nine case-control articles on basal cortisol in asthma.</p><p>No significant association was found between: 1) cortisol and asthma (age 11 years) or asthma development (age 14 or 16 years); 2) cortisol upon stress and asthma (age 16 years). The metaanalysis found lower morning and evening cortisol levels in asthmatics compared to nonasthmatics; however, the summary estimates were not significant.</p><p>We found no evidence supporting a role for cortisol in asthma and asthma development.</p>

Gender differences in asthma development and remission during transition through puberty:The TRacking Adolescents' Individual Lives Survey (TRAILS) study

BACKGROUND: During puberty, a gender shift in asthma prevalence occurs, with a preponderance of boys before puberty. The mechanisms underlying this gender shift are unclear. OBJECTIVES: We assessed associations of pubertal stages and transition through puberty with (1) the prevalence, incidence, and remission of asthma in male and female subjects; (2) total IgE levels; and (3) peak expiratory flow (PEF) fall during a shuttle run test (SRT). METHODS: In the TRacking Adolescents' Individual Lives Survey study (n = 2,230; 51% female subjects), associations between pubertal stages and the prevalence, incidence, and remission of asthma were tested by using logistic regression and generalized estimating equations at a mean age of 11.1 (SD, 0.6), 13.6 (SD, 0.5), and 16.3 (SD, 0.7) years. Multiple linear regression analyses were used to study log-transformed total IgE levels and PEF fall during a SRT dependent on early versus late pubertal stages at a mean age of 16.3 years. RESULTS: The prevalence of asthma was similar in boys (7.7%) and girls (7.4%) at a mean age of 11.1 years. The prevalence of asthma was significantly higher in female (6.2%) than male (4.3%) subjects at 16.3 years of age. There were no significant associations between transition of pubertal stages and the presence of asthma, either cross-sectionally or longitudinally. Pubertal stages and log-transformed total IgE levels or PEF fall during a SRT at age 16.3 years were not correlated. CONCLUSIONS: A shift in the prevalence of asthma occurs between 11.1 and 16.3 years, which is due to both an increased incidence and decreased remission of asthma in female compared with male subjects. Pubertal stages could not be proved to explain the gender shift in asthma prevalence

Air pollution during New Year’s fireworks and daily mortality in the Netherlands

Short-term exposure to air pollution has been associated with cardiovascular and respiratory mortality and morbidity. Little is known about associations between air pollution caused by firework events and daily mortality. We investigated whether particulate matter from fireworks during New Year’s celebrations was associated with daily mortality. We analyzed the celebrations of the years 1995–2012. PM 10 concentrations increased dramatically during the firework events. Countrywide, the daily average PM 10 concentrations from 27–30 December was 29 μg/m 3 and increased during the first hour of the New Year by 277 μg/m 3 . In the more densely populated areas of the Netherlands the increase was even steeper, 598 μg/m 3 in the first hour of the New Year. No consistent associations were found using linear regression models between PM 10 concentrations during the first six hours of 1 January and daily mortality in the general population. Yet, using a case-crossover analysis firework-days and PM 10 concentrations were associated with daily mortality. Therefore, in light of the contradictory results obtained with the different statistical analyses, we recommend further epidemiological research on the health effects of exposure to firework emissions

Classification of high-grade cervical intraepithelial neoplasia by p16ink4a, Ki-67, HPV E4 and FAM19A4/miR124-2 methylation status demonstrates considerable heterogeneity with potential consequences for management

High-grade cervical intraepithelial neoplasia (CIN2 and CIN3) represents a heterogeneous disease with varying cancer progression risks. Biomarkers indicative for a productive human papillomavirus (HPV) infection (HPV E4) and a transforming HPV infection (p16 ink4a, Ki-67 and host-cell DNA methylation) could provide guidance for clinical management in women with high-grade CIN. This study evaluates the cumulative score of immunohistochemical expression of p16 ink4a (Scores 0-3) and Ki-67 (Scores 0-3), referred to as the “immunoscore” (IS), in 262 CIN2 and 235 CIN3 lesions derived from five European cohorts in relation to immunohistochemical HPV E4 expression and FAM19A4/miR124-2 methylation in the corresponding cervical scrape. The immunoscore classification resulted in 30 lesions within IS group 0-2 (6.0%), 151 lesions within IS group 3-4 (30.4%) and 316 lesions within IS group 5-6 (63.6%). E4 expression decreased significantly from CIN2 to CIN3 (P <.001) and with increasing immunoscore group (P trend <.001). Methylation positivity increased significantly from CIN2 to CIN3 (P <.001) and with increasing immunoscore group (P trend <.001). E4 expression was present in 9.8% of CIN3 (23/235) and in 12.0% of IS group 5-6 (38/316). Notably, in a minority (43/497, 8.7%) of high-grade lesions, characteristics of both transforming HPV infection (DNA hypermethylation) and productive HPV infection (E4 expression) were found simultaneously. Next, we stratified all high-grade CIN lesions, based on the presumed cancer progression risk of the biomarkers used, into biomarker profiles. These biomarker profiles, including immunoscore and methylation status, could help the clinician in the decision for immediate treatment or a “wait and see” policy to reduce overtreatment of high-grade CIN lesions

FAM19A4/miR124-2 methylation in invasive cervical cancer: A retrospective cross-sectional worldwide study

Widespread adoption of primary human papillomavirus (HPV)-based screening has encouraged the search for a triage test which retains high sensitivity for the detection of cervical cancer and precancer, but increases specificity to avoid overtreatment. Methylation analysis of FAM19A4 and miR124-2 genes has shown promise for the triage of high-risk (hr) HPV-positive women. In our study, we assessed the consistency of FAM19A4/miR124-2 methylation analysis in the detection of cervical cancer in a series of 519 invasive cervical carcinomas (n = 314 cervical scrapes, n = 205 tissue specimens) from over 25 countries, using a quantitative methylation-specific PCR (qMSP)-based assay (QIAsure Methylation Test®). Positivity rates stratified per histotype, FIGO stage, hrHPV status, hrHPV genotype, sample type and geographical region were calculated. In total, 510 of the 519 cervical carcinomas (98.3%; 95% CI: 96.7–99.2) tested FAM19A4/miR124-2 methylation-positive. Test positivity was consistent across the different subgroups based on cervical cancer histotype, FIGO stage, hrHPV status, hrHPV genotype, sample type and geographical region. In conclusion, FAM19A4/miR124-2 methylation analysis detects nearly all cervical carcinomas, including rare histotypes and hrHPV-negative carcinomas. These results indicate that a negative FAM19A4/miR124-2 methylation assay result is likely to rule out the presence of cervical cancer

A machine learning approach to explore predictors of graft detachment following posterior lamellar keratoplasty: a nationwide registry study

Machine learning can be used to explore the complex multifactorial patterns underlying postsurgical graft detachment after endothelial corneal transplantation surgery and to evaluate the marginal effect of various practice pattern modulations. We included all posterior lamellar keratoplasty procedures recorded in the Dutch Cornea Transplant Registry from 2015 through 2018 and collected the center-specific practice patterns using a questionnaire. All available data regarding the donor, recipient, surgery, and practice pattern, were coded into 91 factors that might be associated with the occurrence of a graft detachment. In this research, we used three machine learning methods; a regularized logistic regression (lasso), classification tree analysis (CTA), and random forest classification (RFC), to select the most predictive subset of variables for graft detachment. A total of 3647 transplants were included in our analysis and the overall prevalence of graft detachment was 9.9%. In an independent test set the area under the curve for the lasso, CTA, and RFC was 0.70, 0.65, and 0.72, respectively. Identified risk factors included: a Descemet membrane endothelial keratoplasty procedure, prior graft failure, and the use of sulfur hexafluoride gas. Factors with a reduced risk included: performing combined procedures, using pre-cut donor tissue, and a pre-operative laser iridotomy. These results can help surgeons to review their practice patterns and generate hypotheses for empirical research regarding the origins of graft detachments