Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521867 | PMC |
http://dx.doi.org/10.3389/fdgth.2021.628452 | DOI Listing |
Intensive Crit Care Nurs
January 2025
Faculty of Medicine and Health, The University of Sydney Susan Wakil School of Nursing and Midwifery Camperdown NSW Australia; Western Sydney Local Health District, North Parramatta, NSW 2141, Australia. Electronic address:
Background: Emergency departments have high levels of uncertainty, long wait times, resource shortages, overcrowding and a constantly changing environment. Patient experience and patient safety are directly linked, yet levels of patient experience are stagnant. To improve emergency nursing care and patient experience, an emergency nursing framework HIRAID® (History including Infection risk, Red flags, Assessment, Interventions, Diagnostics, communication, and reassessment) was implemented in 29 Australian emergency departments.
View Article and Find Full Text PDFInt J Med Inform
January 2025
World Health Organization Headquarters Switzerland.
Background: This paper addresses the importance of timely and robust information systems that underpin emergency response decision-making, as evidenced during the COVID-19 pandemic in the WHO European Region. Recognizing the relevance of these systems, we propose the strengthening of national emergency response information management systems (ERIMS) within the broader digital health information system (HIS) framework. We aim to develop and present an innovative assessment tool designed to evaluate and assist in the strengthening of ERIMS, contributing to a more resilient and effective emergency response.
View Article and Find Full Text PDFInflamm Res
January 2025
Departamento de Biomedicina - Unidade de Farmacologia e Terapêutica, Faculdade de Medicina da Universidade do Porto (FMUP), Rua Dr. Plácido da Costa, S/N, Edifício Poente, Piso 3, 4200-450, Porto, Portugal.
Background And Aims: Endocan has been scarcely explored in COVID-19, especially regarding its modulation by veno-venous extracorporeal membrane oxygenation (VV-ECMO), hypertension or previous renin-angiotensin-aldosterone system (RAAS) inhibitors treatment. We compared endocan and other endotheliitis markers in hospitalized COVID-19 patients and assessed their modulation by VV-ECMO, hypertension and previous RAAS inhibitors treatment.
Material And Methods: Serum endocan, intercellular adhesion molecule-1 (ICAM-1), vascular cell adhesion molecule-1 (VCAM-1) and E-selectin were measured in "severe" (n = 27), "critically ill" (n = 17) and "critically ill on VV-ECMO" (n = 17) COVID-19 patients at admission, days 3-4, 5-8 and weekly thereafter, and in controls (n = 23) at a single time point.
J Hand Surg Eur Vol
January 2025
St Andrew's Centre for Plastic Surgery and Burns, Broomfield Hospital, Chelmsford CM1 7ET, UK.
This bibliometric analysis aimed to define important topics and developments across wide awake local anaesthesia no tourniquet (WALANT) hand surgery, an innovative ambulatory technique that gained popularity during the COVID-19 pandemic. Articles were searched and screened using the Web of Science core collection database. VOSviewer 1.
View Article and Find Full Text PDFViruses
January 2025
School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico.
Detection and quantification of disease-related biomarkers in wastewater samples, denominated Wastewater-based Surveillance (WBS), has proven a valuable strategy for studying the prevalence of infectious diseases within populations in a time- and resource-efficient manner, as wastewater samples are representative of all cases within the catchment area, whether they are clinically reported or not. However, analysis and interpretation of WBS datasets for decision-making during public health emergencies, such as the COVID-19 pandemic, remains an area of opportunity. In this article, a database obtained from wastewater sampling at wastewater treatment plants (WWTPs) and university campuses in Monterrey and Mexico City between 2021 and 2022 was used to train simple clustering- and regression-based risk assessment models to allow for informed prevention and control measures in high-affluence facilities, even if working with low-dimensionality datasets and a limited number of observations.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!