Background: Patients with dyspepsia often experience troublesome symptoms.
Aim: To assess the burden of uninvestigated dyspepsia (symptoms, health-related quality of life [HRQL] and work productivity) before and after 8 weeks' esomeprazole treatment.
Methods: Patients (n=1250) with uninvestigated dyspepsia (no endoscopy within 6 months and ≤ 2 endoscopies within 10 years) underwent a 1-week esomeprazole acid-suppression test before randomisation to 7 weeks' esomeprazole or placebo. The Reflux Disease Questionnaire (RDQ), Quality of Life in Reflux and Dyspepsia (QOLRAD) and Work Productivity and Activity Impairment (WPAI) questionnaires were completed at baseline (1-week off-treatment) and 8 weeks. WPAI results were further analysed among patients who responded to the acid-suppression test.
Results: The highest baseline symptom score was for the RDQ dyspepsia domain, and the highest disease burden was for QOLRAD vitality and food/drink problems. After 8 weeks, significant improvements vs. placebo were observed for all RDQ and QOLRAD domains. The sub-population of acid-suppression test responders, but not the total WPAI population, had a significant work productivity improvement vs. placebo.
Conclusions: Uninvestigated dyspepsia is associated with high symptom load and impacts on HRQL and work productivity. Esomeprazole improves HRQL among such patients, and improves work productivity among 1-week acid-suppression trial responders. ClinicalTrials.gov identifier: NCT00251992.
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http://dx.doi.org/10.1111/j.1365-2036.2011.04789.x | DOI Listing |
Cytotherapy
November 2024
Institute of Immunology and Immunotherapy, College of Medicine and Health, University of Birmingham, Birmingham, UK. Electronic address:
Background Aims: Extracellular vesicles (EVs) have gained traction as potential cell-free therapeutic candidates. Development of purification methods that are scalable and robust is a major focus of EV research. Yet there is still little in the literature that evaluates purification methods against potency of the EV product.
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January 2025
Behavioral and mental health (BMH) issues are increasing in adolescents as shortages of primary care and BMH providers are also rising. The healthcare burden has fallen especially hard on primary care providers (PCPs), who are showing increasing signs of burnout and making plans to reduce their work hours or leave the profession altogether. These factors impede their ability to be the first line of defense in providing emotional support to children and families.
View Article and Find Full Text PDFArch Toxicol
January 2025
Cosmetics Europe, Brussels, Belgium.
Grouping of chemicals has been proposed as a strategy to speed up the screening and identification of potential substances of concern among the broad chemical universe under REACH. Such grouping is usually based on shared structural features and should only be used for the prioritization objectives. However, additional considerations (as well as structural similarity) are needed, e.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
January 2025
CPRAC Research Center, Centre de Recherche Scientifique et Technique en Analyses Physico-Chimiques, Bou-Ismail CP, Tipaza, 42004, Algeria.
The aim of the present work is to investigate the photocatalytic degradation of propyl paraben (propyl para-hydroxybenzoate, PrP) using CuO-ZnO-NPs photocatalyst followed by the identification of the oxidation by-products. The CuO-ZnO-NPs material, synthesized using a green chemistry approach, was used as a photocatalyst for the removal of PrP. The nanoparticles were characterized by XRD, XRF, diffuse reflectance spectroscopy, ATG/DTG, FTIR, SEM-EDX, BET and FRX techniques.
View Article and Find Full Text PDFSci Rep
January 2025
North Carolina School of Science and Mathematics, Durham, NC, 27705, USA.
Mobile Ad Hoc Networks (MANETs) are increasingly replacing conventional communication systems due to their decentralized and dynamic nature. However, their wireless architecture makes them highly vulnerable to flooding attacks, which can disrupt communication, deplete energy resources, and degrade network performance. This study presents a novel hybrid deep learning approach integrating Convolutional Neural Networks (CNN) with Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) architectures to effectively detect and mitigate flooding attacks in MANETs.
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