Article
Emergency Medicine
Antoine Aubrion, Romain Clanet, J. P. Jourdan, Christian Creveuil, E. Roupie, Richard Macrez
Summary: This study compares the FRENCH scale with the ESI scale and finds that the FRENCH scale provides better triage results. The interobserver agreement for both scales is similar.
BMC EMERGENCY MEDICINE
(2022)
Article
Nursing
Thomas Dreher-Hummel, Christian H. Nickel, Dunja Nicca, Florian F. Grossmann
Summary: The study found that collaboration between nurses and physicians in the interprofessional team triage system often faced challenges, manifested as differing preferences for triage systems, perceptions of professional roles, and coping strategies for time pressure. Understanding and respecting the values and beliefs of both parties, and adapting a flexible approach to collaboration according to patient situations, can promote improvement in interprofessional team triage.
JOURNAL OF ADVANCED NURSING
(2021)
Article
Emergency Medicine
Theodore W. Heyming, Chloe Knudsen-Robbins, William Feaster, Louis Ehwerhemuepha
Summary: The study developed a machine learning model to predict the disposition of pediatric emergency department patients based on triage assessment and historical information. The model demonstrated high accuracy in training and testing, providing an effective tool for healthcare providers to stratify patients effectively.
AMERICAN JOURNAL OF EMERGENCY MEDICINE
(2021)
Article
Nursing
Francesco Brigo, Arian Zaboli, Fabrizio Rinaldi, Dietmar Ausserhofer, Raffaele Nardone, Norbert Pfeifer, Gianni Turcato
Summary: The study evaluated the performance of the Manchester Triage System (MTS) in prioritising patients presenting to the emergency department with non-traumatic headache. MTS showed acceptable prioritisation accuracy, with a sensitivity of 79.4% and a specificity of 54.1%. Overall, MTS is considered a safe and accurate tool for prioritising patients with non-traumatic headache in the emergency department.
JOURNAL OF CLINICAL NURSING
(2022)
Article
Nursing
Arian Zaboli, Dietmar Ausserhofer, Serena Sibilio, Rupert Paulmichl, Elia Toccolini, Norbert Pfeifer, Francesco Brigo, Gianni Turcato
Summary: This study aimed to assess the effectiveness of the Manchester Triage System in correctly prioritizing patients with transitory loss of consciousness for severe acute disease. The system showed good specificity but low sensitivity, highlighting the need for more precise nursing tools to improve triage performance.
JOURNAL OF ADVANCED NURSING
(2022)
Review
Medicine, General & Internal
Christopher Thomas Picard, Manal Kleib, Hannah M. O'Rourke, Colleen M. Norris, Matthew J. Douma
Summary: This review aims to examine the narratives of nurses in the emergency department, which capture the reasons for patients' visits and initial assessments. The study will analyze both quantitative and qualitative data, and use a structured search approach to gather relevant studies. Findings will be disseminated through conferences, journals, and social media platforms.
Article
Medicine, General & Internal
Feng Xie, Marcus Eng Hock Ong, Johannes Nathaniel Min Hui Liew, Kenneth Boon Kiat Tan, Andrew Fu Wah Ho, Gayathri Devi Nadarajan, Lian Leng Low, Yu Heng Kwan, Benjamin Alan Goldstein, David Bruce Matchar, Bibhas Chakraborty, Nan Liu
Summary: This cohort study developed an interpretable machine learning tool to estimate mortality risk in individuals admitted to the hospital from the emergency department. The tool, named Score for Emergency Risk Prediction, showed promise in accurately identifying patients at risk of death within 2, 7, or 30 days of admission. The machine learning tool outperformed several benchmark clinical scores, indicating its potential for widespread application and validation in different healthcare settings.
Article
Nursing
Cristina Font-Cabrera, Maria Eulalia Juve-Udina, Jordi Galimany-Masclans, Nuria Fabrellas, Alba Rosello-Novella, Raul Sancho-Agredano, Jordi Adamuz, Eva Maria Guix-Comellas
Summary: The aim of this study is to evaluate the effectiveness of advanced nurse triage in the Emergency Department of a high-complexity hospital based on the quality of care outcomes. The study design includes a concept analysis, mapping of advanced practice protocol terminologies, analysis of health professionals' opinions on advanced triage, and analysis of sociodemographic and clinical variables in the retrospective phase, followed by implementation of advanced triage in the prospective phase. The study is expected to span from January 2022 to January 2024.
Article
Health Care Sciences & Services
Stefan Morreel, Ines Homburg, Hilde Philips, Diana De Graeve, Koenraad G. Monsieurs, Jasmine Meysman, Eva Lefevere, Veronique Verhoeven
Summary: During the TRIAGE trial, diverting low-risk patients to a general practitioner cooperative increased total costs and insurance costs slightly, mainly due to differences in physician fees. The impact on cost composition of medical services needs to be further monitored.
Article
Nursing
Mulyadi Mulyadi, Blacius Dedi, Wen-Li Hou, I-Chin Huang, Bih-O Lee
Summary: The study explored the experiences of nurses working in emergency departments during the COVID-19 pandemic, revealing extreme challenges they faced and the strategies they developed to cope with them, as well as their optimistic attitude. To improve nursing care, it is suggested to provide support to emergency nurses, improve emergency department triage, and empower the community.
JOURNAL OF NURSING SCHOLARSHIP
(2022)
Article
Medicine, General & Internal
Vivian Midtbo, Siri-Linn Schmidt Fotland, Ingrid Hjulstad Johansen, Steinar Hunskaar
Summary: This study describes how an intervention to limit direct attendance in an emergency primary healthcare service affected the contacts to the clinic and the level of care given. It found that an advertisement campaign and encouraging patients to call in advance helped reduce the proportion of direct attendance and increase the proportion of telephone consultation by an operator.
Article
Multidisciplinary Sciences
Andreea Vantu, Anca Vasilescu, Alexandra Baicoianu
Summary: Artificial intelligence has shown its ability to overcome challenges in daily life. The development of AI has led to more studies on machine learning solutions, including healthcare. The availability of medical records provides opportunities to explore machine learning models and their ability to process large amounts of data to solve medical problems. This study focuses on the correlation between medical records and diagnosis, particularly in the emergency department triage process.
Article
Emergency Medicine
Thomas Tschoellitsch, Philipp Seidl, Carl Bock, Alexander Maletzky, Philipp Moser, Stefan Thumfart, Michael Giretzlehner, Sepp Hochreiter, Jens Meier
Summary: This study aims to provide prediction models for discharge versus admission for ward observation or intensive care, and 30 day-mortality for patients triaged with the Manchester Triage System. Machine learning models were used to predict the outcomes, and the results showed that machine learning can effectively predict the admission decisions and mortality risk for patients in the emergency department.
EUROPEAN JOURNAL OF EMERGENCY MEDICINE
(2023)
Article
Nursing
Arian Zaboli, Dietmar Ausserhofer, Norbert Pfeifer, Serena Sibilio, Giovanna Tezza, Laura Ciccariello, Gianni Turcato
Summary: The ROX index demonstrates a good ability to identify high-risk patients during triage, with associations with the risk of developing ARDS and requiring intubation. ROX values are correlated with PaO2/FiO2 values, and decreased ROX values are associated with increased lung involvement based on 3D CT reconstruction.
JOURNAL OF ADVANCED NURSING
(2021)
Article
Nursing
Sun-Hee Moon, Mi-Kyeong Jeon, Deok Ju
Summary: This study aimed to investigate the facilitators of and barriers to a well-run triage function based on how Korean emergency nurses perceived the triage process and their experiences with it. The findings identified various vulnerabilities of the triage process and suggested solutions from the emergency nurses' perspective. Educational, staffing, financial support, and periodic updates of the KTAS are needed to promote the triage process in the future.
ASIAN NURSING RESEARCH
(2021)
Article
Respiratory System
Pierre-Antoine Juge, Joyce S. Lee, Jessica Lau, Leticia Kawano-Dourado, Jorge Rojas Serrano, Marco Sebastiani, Gouri Koduri, Eric Matteson, Karina Bonfiglioli, Marcio Sawamura, Ronaldo Kairalla, Lorenzo Cavagna, Emanuele Bozzalla Cassione, Andreina Manfredi, Mayra Mejia, Pedro Rodriguez-Henriquez, Montserrat I. Gonzalez-Perez, Ramces Falfan-Valencia, Ivette Buendia-Roldan, Gloria Perez-Rubio, Esther Ebstein, Steven Gazal, Raphael Borie, Sebastien Ottaviani, Caroline Kannengiesser, Benoit Wallaert, Yurdagul Uzunhan, Hilario Nunes, Dominique Valeyre, Nathalie Saidenberg-Kermanac, Marie-Christophe Boissier, Lidwine Wemeau-Stervinou, Rene-Marc Flipo, Sylvain Marchand-Adam, Pascal Richette, Yannick Allanore, Claire Dromer, Marie-Elise Truchetet, Christophe Richez, Thierry Schaeverbeke, Huguette Liote, Gabriel Thabut, Kevin D. Deane, Joshua J. Solomon, Tracy Doyle, Jay H. Ryu, Ivan Rosas, V. Michael Holers, Catherine Boileau, Marie-Pierre Debray, Raphael Porcher, David A. Schwartz, Robert Vassallo, Bruno Crestani, Philippe Dieude
Summary: The study found that there is no increased risk of RA-ILD associated with MTX use in patients with RA, and that ILD was detected later in MTX-treated patients.
EUROPEAN RESPIRATORY JOURNAL
(2021)
Article
Obstetrics & Gynecology
Patrick Rozenberg, Marie-Victoire Senat, Philippe Deruelle, Norbert Winer, Emmanuel Simon, Yves Ville, Gilles Kayem, Raphael Porcher, Elodie Perrodeau, Raoul Desbriere, Isabelle Boutron
Summary: This multicenter, randomized, controlled trial aimed to evaluate the impact of proposing mode of delivery based on ultrasound measurement of lower uterine segment thickness on maternal-fetal mortality and morbidity among pregnant women with previous cesarean delivery. The study results did not show a statistically significant difference in adverse outcomes between the study group and control group, indicating the need for further research due to low statistical power.
AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY
(2022)
Article
Respiratory System
Olivier Hermine, Xavier Mariette, Raphael Porcher, Matthieu Resche-Rigon, Pierre-Louis Tharaux, Philippe Ravaud
Summary: This study aimed to determine whether anti-interleukin (IL)-6 receptors improve outcomes in critically ill patients with COVID-19 pneumonia. The results showed that anti-IL-6 receptor treatment did not significantly increase the number of patients alive without the need for noninvasive ventilation (NIV) or mechanical ventilation (MV) by day 14.
EUROPEAN RESPIRATORY JOURNAL
(2022)
Article
Infectious Diseases
Rishma Amarsy, David Trystram, Emmanuelle Cambau, Catherine Monteil, Sandra Fournier, Juliette Oliary, Helga Junot, Pierre Sabatier, Raphael Porcher, Jerome Robert, Vincent Jarlier
Summary: This study measured the impact of the first wave of COVID-19 on the incidence of bloodstream infections at the largest multisite public healthcare institution in France. The results showed that the COVID-19 pandemic had a strong impact on hospital management and had unfavorable effects on severe infections, antimicrobial resistance, and laboratory work diagnostics.
INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES
(2022)
Article
Urology & Nephrology
Dorian Nezam, Raphael Porcher, Francois Grolleau, Pauline Morel, Dimitri Titeca-Beauport, Stanislas Faguer, Alexandre Karras, Justine Solignac, Noemie Jourde-Chiche, Francois Maurier, Hamza Sakhi, Khalil El Karoui, Rafik Mesbah, Pierre Louis Carron, Vincent Audard, Didier Ducloux, Romain Paule, Jean-Fracois Augusto, Julien Aniort, Aurelien Tiple, Cedric Rafat, Severine Beaudreuil, Xavier Puechal, Pierre Gobert, Ziad Massy, Catherine Hanrotel, Stephane Bally, Nihal Martis, Cecile-Audrey Durel, Geoffroy Desbuissons, Pascal Godmer, Aurelie Hummel, Francois Perrin, Antoine Neel, Claire De Moreuil, Tiphaine Goulenok, Dominique Guerrot, Steven Grange, Aurelie Foucher, Alban Deroux, Carole Cordonnier, Celine Guilbeau-Frugier, Anne Modesto-Segonds, Dominique Nochy, Laurent Daniel, Anissa Moktefi, Marion Rabant, Loic Guillevin, Alexis Regent, Benjamin Terrier
Summary: The study found that PLEX did not improve the primary outcome in the entire population, but identified a subset of patients who could benefit from PLEX. However, these findings need to be validated before being used in clinical decision making.
JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY
(2022)
Letter
Urology & Nephrology
Dorian Nezam, Raphael Porcher, Francois Grolleau, Benjamin Terrier, French Vasculitis Study Grp
JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY
(2022)
Article
Engineering, Manufacturing
Theodoros Evgeniou, Mathilde Fekom, Anton Ovchinnikov, Raphael Porcher, Camille Pouchol, Nicolas Vayatis
Summary: This study presents a framework that combines epidemiological and machine learning models to predict the risk of ICU treatment for individuals infected with COVID-19. Simulation results based on French data show that policies considering clinical risk predictions can relax isolation restrictions earlier without overwhelming the ICU capacity.
PRODUCTION AND OPERATIONS MANAGEMENT
(2022)
Article
Multidisciplinary Sciences
Viet-Thi Tran, Raphael Porcher, Isabelle Pane, Philippe Ravaud
Summary: About 10% of people infected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) experience post COVID-19 disease. This study analyzed data from a French disease cohort and found that among patients symptomatic after 2 months, 85% still reported symptoms one year after their symptom onset. Symptoms showed different trends over time, with some decreasing, some remaining stable, and some increasing in prevalence. The study provides important insights into the natural history of post COVID-19 disease.
NATURE COMMUNICATIONS
(2022)
Letter
Respiratory System
Raphael Porcher, Philippe Ravaud, Matthieu Resche-Rigon, Pierre-Louis Tharaux, Xavier Mariette, Olivier Hermine
EUROPEAN RESPIRATORY JOURNAL
(2022)
Article
Medicine, General & Internal
Manon Egnell, Isabelle Boutron, Sandrine Peneau, Pauline Ducrot, Mathilde Touvier, Pilar Galan, Leopold Fezeu, Raphael Porcher, Philippe Ravaud, Serge Hercberg, Emmanuelle Kesse-Guyot, Chantal Julia
Summary: This study investigated the effect of the Nutri-Score label on the nutritional quality of purchasing intentions among adults suffering from cardiometabolic diseases. The results showed that the Nutri-Score led to healthier food choices and higher nutritional quality in their shopping carts.
Article
Medicine, General & Internal
Charlotte Debras, Eloi Chazelas, Laury Sellem, Raphael Porcher, Nathalie Druesne-Pecollo, Younes Esseddik, Fabien Szabo de Edelenyi, Cedric Agaesse, Alexandre De Sa, Rebecca Lutchia, Leopold K. Fezeu, Chantal Julia, Emmanuelle Kesse-Guyot, Benjamin Alles, Pilar Galan, Serge Hercberg, Melanie Deschasaux-Tanguy, Inge Huybrechts, Bernard Srour, Mathilde Touvier
Summary: This large-scale prospective cohort study found a potential direct association between higher artificial sweetener consumption (especially aspartame, acesulfame potassium, and sucralose) and increased risk of cardiovascular diseases.
BMJ-BRITISH MEDICAL JOURNAL
(2022)
Article
Health Care Sciences & Services
Dimitris Mavridis, Adriani Nikolakopoulou, Irini Moustaki, Anna Chaimani, Raphael Porcherd, Isabelle Boutron, Philippe Ravaud
Summary: This study presents graphical methods to group interventions and uses conjoint analysis to place weights on outcomes based on stakeholders' preferences. The results provide valuable information about the clustering of interventions. Grouping interventions helps decision makers identify optimal options in terms of benefit-risk balance and choose interventions from the best cluster based on other factors such as cost and implementation.
JOURNAL OF CLINICAL EPIDEMIOLOGY
(2023)
Review
Hematology
Jerome Lambert, Etienne Lengline, Raphael Porcher, Rodolphe Thiebaut, Sarah Zohar, Sylvie Chevret
Summary: In the past decade, it has become common practice to provide rapid answers and early patient access to innovative treatments in the absence of randomized clinical trials. This trend is particularly important in oncology when evaluating new targeted therapies. This article provides guidelines for the critical appraisal of comparisons or conducting single-arm trials, using the example of ciltacabtagene autoleucel for the treatment of relapsed or refractory multiple myeloma.
Article
Hematology
Florie Brion Bouvier, Raphael Porcher
Summary: The preferred approach to compare two treatments is a randomized controlled trial (RCT) which ensures similarity between groups and allows causal conclusions. When RCTs are not possible, observational data can be used to infer treatment effectiveness under certain assumptions, using regression modeling or propensity score methods. Target trial emulation principles are also discussed.
BEST PRACTICE & RESEARCH CLINICAL HAEMATOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Georg J. Wengert, Yohann Dabi, Edith Kermarrec, Aurelie Jalaguier-Coudray, Edouard Poncelet, Raphael Porcher, Isabelle Thomassin-Naggara, Andrea G. Rockall
Summary: TIC assessment of dynamic contrast-enhanced MRI scans is more accurate than visual assessment for categorizing adnexal lesions and evaluating the O-RADS MRI score.