Healthcare professionals often face clinical and ethical challenges when charged with making decisions related to provision or lack of provision of artificial nutrition and hydration. The intent of this review is to supply a framework of clinical practices, ethical principles, legal precedents, and professional guidelines that will impart information and can assist decision making regarding artificial nutrition and hydration. Comprehensive understanding of the theory and practice of informed consent for competent adults, decisionally incompetent adults, and minors is necessary for making valid clinical judgments and for guiding patients and their families or surrogates in choosing options related to initiating, withholding, or withdrawing artificial nutrition and hydration. The framework offered in this review can serve as a basis for evaluation of appropriateness of artificial nutrition and hydration in 3 common conditions in which decision making is particularly challenging: terminal illness, advanced dementia, and a persistent vegetative state. The framework facilitates guidance for institutional policy makers and individual nutrition support professionals dealing with situations in which personal values often create ethical dilemmas related to artificial nutrition and hydration and its utility.
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http://dx.doi.org/10.1177/0148607109347209 | DOI Listing |
Int J Biol Macromol
January 2025
Zhengzhou Research Base, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, School of Agricultural Sciences, Zhengzhou University, Zhengzhou 450001, Henan, China; National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, China; Western Agricultural Research Center, Chinese Academy of Agricultural Sciences, Changji 831100, China. Electronic address:
The widespread commercialization of genetically modified (GM) crops makes it important to assess the potential impact of Bacillus thuringiensis (Bt) on non-target organisms. Pardosa astrigera is an important predator in agroforestry ecosystems, and female and male spiders may react differently to Bt toxins due to their different activity habits and nutritional requirements. In this study, we found that exposure to Cry2Aa protein did not affect the survival and body weight of P.
View Article and Find Full Text PDFPharmaceutics
January 2025
Department of Pharmaceutical Science, School of Pharmacy and Nutrition, University of Navarra, 31009 Pamplona, Spain.
Background/objectives: Colorectal cancer (CRC) holds the third and second position among cancers affecting men and women, respectively. Frequently, the first-line treatment for metastatic CRC consists of the intravenous administration of 5-fluorouracil and leucovorin in combination with oxaliplatin or irinotecan. Physiologically-based pharmacokinetic models (PBPK) aim to mechanistically incorporate body physiology and drug physicochemical attributes, enabling the description of both systemic and organ drug exposure based on the treatment specificities.
View Article and Find Full Text PDFNutrients
January 2025
Division of Nutrition, Food & Dietetics, School of Biosciences, University of Nottingham, Leics LE12 5RD, UK.
With the rise of artificial intelligence (AI) in nutrition and healthcare, AI-driven chatbots are increasingly recognised as potential tools for generating personalised diet plans. This study aimed to evaluate the capabilities of three popular chatbots-Gemini, Microsoft Copilot, and ChatGPT 4.0-in designing weight-loss diet plans across varying caloric levels and genders.
View Article and Find Full Text PDFLife (Basel)
January 2025
Department of Nutrition and Dietetics, School of Physical Education, Sports and Dietetics, University of Thessaly, 42132 Trikala, Greece.
Cardiovascular diseases (CVDs) remain a leading cause of global mortality and morbidity. Traditional risk prediction models, while foundational, often fail to capture the multifaceted nature of risk factors or leverage the expanding pool of healthcare data. Machine learning (ML) and artificial intelligence (AI) approaches represent a paradigm shift in risk prediction, offering dynamic, scalable solutions that integrate diverse data types.
View Article and Find Full Text PDFGenes (Basel)
December 2024
Department of Genetics, Development & Molecular Biology, School of Biology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.
Background: Runs of homozygosity (ROHs) and heterozygosity (ROHets) serve for the identification of genomic regions as candidates of selection, local adaptation, and population history.
Methods: The present study aimed to comprehensively explore the ROH and ROHet patterns and hotspots in Greek native dairy goats, Eghoria and Skopelos, genotyped with the Illumina Goat SNP50 BeadChip. SNP and functional enrichment analyses were conducted to further characterize hotspots and the candidate genes located within these genomic regions.
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