Background: Smoking during pregnancy (SDP) is an important source of preventable morbidity and mortality for both mother and child.
Objectives: The aim of this study was to describe changes in the prevalence of SDP over the last 25 years in developed countries (Human Development Index >0.8 in 2020) and associated social inequalities.
Data Sources: A systematic review was conducted based on a search in PubMed, Embase and PsycInfo databases and government sources.
Study Selection And Data Extraction: Published studies between January 1995 and March 2020, for which the primary outcome was to assess the national prevalence of SDP and the secondary outcome was to describe related socio-economic data were included in the analysis. The selected articles had to be written in English, Spanish, French or Italian.
Synthesis: The articles were selected after successive reading of the titles, abstracts and full-length text. An independent double reading with intervention of a third reader in case of disagreement allowed including 35 articles from 14 countries in the analysis.
Results: The prevalence of SDP differed across the countries studied despite comparable levels of development. After 2015, the prevalence of SDP ranged between 4.2% in Sweden and 16.6% in France. It was associated with socio-economic factors. The prevalence of SDP slowly decreased over time, but this overall trend masked inequalities within populations. In Canada, France and the United States, the prevalence decreased more rapidly in women of higher socio-economic status, and inequalities in maternal smoking were more marked in these countries. In the other countries, inequalities tended to decrease but remained significant.
Conclusions: During pregnancy, that is a period described as a window of opportunity, smoking and social vulnerability factors need to be detected to implement targeted prevention strategies aiming at reducing related social inequalities.
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http://dx.doi.org/10.1111/ppe.12989 | DOI Listing |
BMC Med Educ
December 2024
Emergency Medicine Unit and Emergency Medicine Postgraduate Training Program, Department of Internal Medicine, University of Pavia, IRCCS Policlinico San Matteo Foundation, Pavia, Italy.
Background: Despite the importance of Ultrasound-guided Regional Anaesthesia (UGRA) in Emergency Medicine (EM), there is significant variability in UGRA training among emergency physicians. We recently developed a one-day (8 h), simulation-based UGRA course, specifically tailored to help emergency physicians to integrate these skills into their clinical practice.
Methods: In this pre/post intervention study, emergency physicians attended a course consisting of a 4-hour teaching on background knowledge and a practical part structured as follows: a scanning session on a healthy individual; a needling station with an ex-vivo model (turkey thighs); a simulation-based learning experience on local anaesthetic toxicity (LAST); a session on the UGRA simulator BlockSim™.
BMC Biol
December 2024
Computational Biology and Medical Ecology Lab, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
Transfus Clin Biol
November 2024
Blood Transfusion Research Center, High Institute for Research and Education in Transfusion Medicine, Tehran, Iran.
Objectives: Plateletpheresis (PP) has become increasingly prevalent due to its cost-effectiveness and fewer immunological and infectious complications for recipients. This study compares hematological indices of platelet donors and instrument-related parameters in high-yield PP donors using Haemonetics MCS+ and Trima Accel.
Methods: Eligible and healthy PP donors meeting the platelet donation criteria were randomly selected.
CNS Oncol
December 2024
UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision & Imaging Biomarkers, University of California Los Angeles, Los Angeles, CA 90024, USA.
A radio-pathomic machine learning (ML) model has been developed to estimate tumor cell density, cytoplasm density (Cyt) and extracellular fluid density (ECF) from multimodal MR images and autopsy pathology. In this multicenter study, we implemented this model to test its ability to predict survival in patients with recurrent glioblastoma (rGBM) treated with chemotherapy. Pre- and post-contrast T-weighted, FLAIR and ADC images were used to generate radio-pathomic maps for 51 patients with longitudinal pre- and post-treatment scans.
View Article and Find Full Text PDFNeuroimage Clin
November 2024
Department of Radiology, Tianjin Key Lab of Functional Imaging and State Key Laboratory of Experimental Hematology, Tianjin Medical University General Hospital, Tianjin 300052, China; School of Medical Imaging and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, 300203 Tianjin, China. Electronic address:
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