Preliminary Results from SAFEMED - a Pilot Study of Active Surveillance on Medication Exposure during Pregnancy and Lactation using Data from the Centre IMAGe

2018 ◽  
Vol 80 ◽  
pp. 150-151
Author(s):  
E. Mégrourèche ◽  
J.S. Labarre ◽  
F. Pettersen-Coulombe ◽  
C. Papillon-Hogue ◽  
C. Morin ◽  
...  
Author(s):  
Andrea Maugeri ◽  
Martina Barchitta ◽  
Roberta Magnano San Lio ◽  
Maria Clara La Rosa ◽  
Claudia La Mastra ◽  
...  

Several studies—albeit with still inconclusive and limited findings—began to focus on the effect of drinking alcohol on telomere length (TL). Here, we present results from a systematic review of these epidemiological studies to investigate the potential association between alcohol consumption, alcohol-related disorders, and TL. The analysis of fourteen studies—selected from PubMed, Medline, and Web of Science databases—showed that people with alcohol-related disorders exhibited shorter TL, but also that alcohol consumption per se did not appear to affect TL in the absence of alcohol abuse or dependence. Our work also revealed a lack of studies in the periconceptional period, raising the need for evaluating this potential relationship during pregnancy. To fill this gap, we conducted a pilot study using data and samples form the Mamma & Bambino cohort. We compared five non-smoking but drinking women with ten non-smoking and non-drinking women, matched for maternal age, gestational age at recruitment, pregestational body mass index, and fetal sex. Interestingly, we detected a significant difference when analyzing relative TL of leukocyte DNA of cord blood samples from newborns. In particular, newborns from drinking women exhibited shorter relative TL than those born from non-drinking women (p = 0.024). Although these findings appeared promising, further research should be encouraged to test any dose–response relationship, to adjust for the effect of other exposures, and to understand the molecular mechanisms involved.


Author(s):  
Alex Cobham ◽  
William Davis ◽  
Gamal Ibrahim ◽  
Andy Sumner

AbstractA recent innovation in measuring inequality is the incorporation of adjustments to top incomes using data from tax authorities, revealing higher inequality. The thesis of this paper is that the incorporation of estimates of income from illicit financial flows (IFF), reflecting untaxed capital, may be as significant to national inequality – but with greater variation across countries. We propose a method of adjusting national inequality data for illicit flows, and present preliminary results. These estimates suggest that untaxed illicit flows could be as important as (taxed) top incomes to estimates of inequality – highlighting the importance of improving estimates of underlying illicit flows.


2011 ◽  
Vol 73 (4) ◽  
pp. AB298
Author(s):  
Alessandro Repici ◽  
Giacomo Rando ◽  
Fabio Romeo ◽  
Nico Pagano ◽  
Alessandra Carlino ◽  
...  

1999 ◽  
Author(s):  
M. Sile O’Modhrain

Abstract In this paper, we present the results of a pilot study that examines whether restricting how people can explore objects haptically effects the object attributes they notice and the efficiency with which they can perform a simple sorting task. 25 observers were each randomly assigned to one of five exploration conditions: two hands (the control), one hand, thumb/forefinger, one finger, or probe. All observers performed a series of two-bin sorts. Stimuli were eight multi-propertied cubes which could be divided into two equal bins according to three properties: size, texture, and compliance. Preliminary results indicate that the restrictions on manual exploration we imposed affected both the exploratory procedures observers chose to use and the efficiency with which they could perform the task. Haptic interface designs inevitably restrict the exploratory procedures available to the user. This study attempts to determine the cost of these restrictions on the efficiency with which a user can explore multi-propertied objects in a virtual or telepresence environment.


Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3918 ◽  
Author(s):  
Goded Shahaf ◽  
Pora Kuperman ◽  
Yuval Bloch ◽  
Shahak Yariv ◽  
Yelena Granovsky

Migraine attacks can cause significant discomfort and reduced functioning for days at a time, including the pre-ictal and post-ictal periods. During the inter-ictsal period, however, migraineurs seem to function normally. It is puzzling, therefore, that event-related potentials of migraine patients often differ in the asymptomatic and inter-ictal period. Part of the electrophysiological dynamics demonstrated in the migraine cycle are attention related. In this pilot study we evaluated an easy-to-use new marker, the Brain Engagement Index (BEI), for attention monitoring during the migraine cycle. We sampled 12 migraine patients for 20 days within one calendar month. Each session consisted of subjects’ reports of stress level and migraine-related symptoms, and a 5 min EEG recording, with a 2-electrode EEG device, during an auditory oddball task. The first minute of the EEG sample was analyzed. Repetitive samples were also obtained from 10 healthy controls. The brain engagement index increased significantly during the pre-ictal (p ≈ 0.001) and the ictal (p ≈ 0.020) periods compared with the inter-ictal period. No difference was observed between the pre-ictal and ictal periods. Control subjects demonstrated intermediate Brain Engagement Index values, that is, higher than inter-ictal, yet lower than pre-ictal. Our preliminary results demonstrate the potential advantage of the use of a simple EEG system for improved prediction of migraine attacks. Further study is required to evaluate the efficacy of the Brain Engagement Index in monitoring the migraine cycle and the possible effects of interventions.


Sign in / Sign up

Export Citation Format

Share Document