Objectives: To explain and demonstrate a new approach for rapidly developing a decision-support tool for prioritizing patients with coronovirus 2019 disease for admission to ICUs.
Design: An expert group used multi-criteria decision analysis methods to specify criteria and weights, representing their relative importance, for prioritizing patients with coronovirus 2019 disease with respect to likely clinical benefit. Specialized multi-criteria decision analysis software, implementing the "Potentially All Pairwise RanKings of all possible Alternatives" method to determine the weights, was used. Social equity considerations for prioritizing patients were also identified as important.
Setting: The prioritization tool was developed in New Zealand.
Subjects: An expert group comprising specialists from intensive care medicine and nursing, Māori (New Zealand's indigenous population) health, infectious diseases, and neonatology was formed. The group's work was supported by health economists and decision analysts and overseen by an ethicist and a senior representative from the New Zealand Ministry of Health.
Interventions: Multi-criteria decision analysis to create a prioritization tool.
Measurements And Main Results: The prioritization tool comprised eight criteria with respect to likely clinical benefit. In decreasing order of importance (weights in parentheses): Sequential Organ Failure Assessment score (15.7%), preexisting cardiovascular conditions (15.7%), functional capacity (15.7%), age (12.4%), preexisting respiratory conditions (11.1%), immunocompromised (11.1%), body mass index (9.2%), and other relevant medical conditions (9.2%). Two social equity considerations were also included in the overarching decision framework to be used alongside the clinical criteria: prioritizing Māori and Pacific people (and, potentially, other at-risk groups), and healthcare and other frontline workers.
Conclusions: The criteria and weights in the prioritization tool can be easily revised as new evidence emerges. The approach for developing the tool could be used in other countries whose ICUs are at risk of being overwhelmed by the coronavirus disease 2019 pandemic to rapidly develop their own prioritization tools. In the event that future crises threaten to overload ICUs, other prioritization tools could also be rapidly developed.
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http://dx.doi.org/10.1097/CCE.0000000000000368 | DOI Listing |
J Immunother Cancer
January 2025
Moderna, Inc, Cambridge, Massachusetts, USA.
The application of messenger RNA (mRNA) technology in antigen-based immuno-oncology therapies represents a significant advancement in cancer treatment. Cancer vaccines are an effective combinatorial partner to sensitize the host immune system to the tumor and boost the efficacy of immune therapies. Selecting suitable tumor antigens is the key step to devising effective vaccinations and amplifying the immune response.
View Article and Find Full Text PDFClin Gastroenterol Hepatol
January 2025
Department of Computer Science and Numerical Analysis, University of Córdoba, Córdoba, Spain. Campus Universitario de Rabanales, Albert Einstein Building. Ctra. N-IV, Km. 396. 14071, Córdoba, Spain; Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain. Av. Menéndez Pidal, s/n, Poniente Sur, 14004 Córdoba, Spain.
Background & Aims: We aimed to develop and validate an artificial intelligence score (GEMA-AI) to predict liver transplant (LT) waiting list outcomes using the same input variables contained in existing models.
Methods: Cohort study including adult LT candidates enlisted in the United Kingdom (2010-2020) for model training and internal validation, and in Australia (1998-2020) for external validation. GEMA-AI combined international normalized ratio, bilirubin, sodium, and the Royal Free Glomerular Filtration Rate in an explainable Artificial Neural Network.
Metabolism
January 2025
Department of Internal Medicine, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Background & Aims: Recent epidemiologic studies on the association between higher consumption of ultra-processed foods (UPF) and risk of incident diabetes have reported conflicting results in populations worldwide. We conducted an updated systematic review and meta-analysis to quantify the magnitude of this association.
Methods: PubMed and Embase databases were systematically searched (from 2009 to November 14, 2024) for prospective cohort studies reporting data on the association between UPF intake (defined by the NOVA classification) and the risk of incident diabetes or its complications in adults (>18 years).
Matern Child Health J
January 2025
Institute for Advancement of Community Health, Furman University, Greenville, SC, USA.
Objectives: To evaluate the implementation and sustainability of the effect of a 1-year Leadership in Education for Neurodevelopmental and related Disabilities (LEND) program in a southeastern state, and to examine its impact on advancing the Maternal Child Health Bureau's (MCHB) Blueprint for Change-a national agenda for pediatric healthcare reform.
Methods: This study applies the Exploration, Preparation, Implementation, and Sustainment (EPIS) framework to rigorously evaluate LEND implementation and impact between 2018 and 2022. In-depth interviews (N = 24) were conducted among long-term (1-year) LEND trainees, via Zoom, in a southeastern state.
J Perianesth Nurs
January 2025
Department of Operating Room, Shengjing Hospital of China Medical University, Shenyang, Liaoning, PR China. Electronic address:
Purpose: This review aims to investigate the effectiveness of nurse-led preoperative visits for the reduction of presurgical anxiety. The review will explore the patterns and mechanisms through which these visits alleviate anxiety, identify the existing practice gaps, and suggest future directions for improvement. The findings will help health care providers choose appropriate visits for their patients.
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