Background: We evaluated efficacy, predictors of quitting success and the safety profile of varenicline for smoking cessation in the Belgian participants in an observational, "real world" study.
Methods: In this post-hoc analysis of a prospective, observational, non-comparative study, participants were adult smokers who were motivated to quit and were prescribed varenicline in accordance with the recommendations of the European Summary of Product Characteristics. The 7-day point prevalence of abstinence at Weeks 12 and 24 was determined based on patient reporting, and these data were further analysed by time to first cigarette on waking and by the use of behavioural support. The safety profile of varenicline was also assessed.
Results: Overall, 61.1% of participants (n= 226) successfully quit smoking by the end of Week 12. There was a significant association between abstinence and time to first cigarette on waking (Week 12: OR, 0.69 [95% CI, 0.50-0.94], p = 0.02; Week 24: OR, 0.70 [95% CI, 0.52-0.94], p=0.02) and the use of behavioural support (Week 12: OR, 6.18 [95% CI, 3.41-11.2], p<0.01; Week 24: OR, 5.37 [95% CI, 2.89-9.98], p<0.01). The most frequent treatment-emergent adverse event was nausea (9.3%).
Conclusions: In this post-hoc analysis, varenicline was an effective smoking cessation aid with an acceptable safety profile in real world clinical practice in Belgian smokers. Significant predictors of abstinence were time to first cigarette on waking and use of behavioural support.
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http://dx.doi.org/10.2143/ACB.68.1.2062718 | DOI Listing |
BMC Nurs
January 2025
Faculty of Medicine and Health Sciences, Translational Neurosciences Research GroupTranslational Neurosciences Research Group, Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, Belgium.
Objective: To explore differences in patient reported outcomes, health care resources and expenditures in persons with multiple sclerosis (pwMS) with or without access to an MS-nurse.
Methodology: An observational, multicenter and cross-sectional study was conducted. Seven centers with, and twelve centers without an MS-nurse participated.
J Hematol Oncol
January 2025
Center for Cell Therapy & Regenerative Medicine (CCRG), Antwerp University Hospital (UZA), Edegem, Belgium.
Cell therapies, including tumor antigen-loaded dendritic cells used as therapeutic cancer vaccines, offer treatment options for patients with malignancies. We evaluated the feasibility, safety, immunogenicity, and clinical activity of adjuvant vaccination with Wilms' tumor protein (WT1) mRNA-electroporated autologous dendritic cells (WT1-mRNA/DC) in a single-arm phase I/II clinical study of patients with advanced solid tumors receiving standard therapy. Disease status and immune reactivity were evaluated after 8 weeks and 6 months.
View Article and Find Full Text PDFFront Psychiatry
January 2025
Department of Public Health, Biostatistics and Medical Informatics Research Group, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Background: Paternal perinatal depression affects 10% of fathers, implying a significant burden on families and public health. A better insight into the population's health literacy could guide professionals and policymakers in addressing these men and making better use of existing healthcare options. It is also crucial for caregivers, as they play a vital role in identifying symptoms, encouraging help-seeking, and reducing stigma.
View Article and Find Full Text PDFArch Public Health
January 2025
Solidaris - Socialist Health Insurance Fund, Brussels, Belgium.
Background: This study aims to investigate how pre-existing health status and social background contribute to excess mortality during the COVID-19 crisis in Belgium.
Methods: The study population consists of almost 1.4 million adult members of Solidaris, the second largest health insurance fund in Belgium.
Sci Rep
January 2025
DIAPath, Center for Microscopy and Molecular Imaging (CMMI), Université Libre de Bruxelles (ULB), 6041, Gosselies, Belgium.
Over the past decade, neuropathological diagnosis has undergone significant changes, integrating morphological features with molecular biomarkers. The molecular era has successfully refined neuropathological diagnostic accuracy; however, a substantial number of CNS tumor diagnoses remain challenging, particularly in children. DNA methylation classification has emerged as a powerful machine learning approach for clinical decision-making in CNS tumors.
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