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  1. Article ; Online: Characteristics and management of adolescents attending the ED with fever

    Jethro Herberg / Michael Levin / Ian Maconochie / Nienke N Hagedoorn / Henriette A Moll / Irene Rivero-Calle / Maria Tsolia / Dorine Borensztajn / Ulrich von Both / Juan Emmanuel Dewez / Marieke Emonts / Michiel van der Flier / Ronald de Groot / Benno Kohlmaier / Emma Lim / Ruud Nijman / Marko Pokorn / Dace Zavadska / Werner Zenz /
    Enitan Carrol / Clementien Vermont / Federico Martinon Torres / Joany Zachariasse

    BMJ Open, Vol 12, Iss

    a prospective multicentre study

    2022  Volume 1

    Keywords Medicine ; R
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher BMJ Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Variation in hospital admission in febrile children evaluated at the Emergency Department (ED) in Europe

    Dorine M Borensztajn / Nienke N Hagedoorn / Irene Rivero Calle / Ian K Maconochie / Ulrich von Both / Enitan D Carrol / Juan Emmanuel Dewez / Marieke Emonts / Michiel van der Flier / Ronald de Groot / Jethro Herberg / Benno Kohlmaier / Emma Lim / Federico Martinon-Torres / Daan Nieboer / Ruud G Nijman / Marko Pokorn / Franc Strle / Maria Tsolia /
    Clementien Vermont / Shunmay Yeung / Dace Zavadska / Werner Zenz / Michael Levin / Henriette A Moll / PERFORM consortium: Personalised Risk assessment in febrile children to optimise Real-life Management across the European Union

    PLoS ONE, Vol 16, Iss 1, p e

    PERFORM, a multicentre prospective observational study.

    2021  Volume 0244810

    Abstract: Objectives Hospitalisation is frequently used as a marker of disease severity in observational Emergency Department (ED) studies. The comparison of ED admission rates is complex in potentially being influenced by the characteristics of the region, ED, ... ...

    Abstract Objectives Hospitalisation is frequently used as a marker of disease severity in observational Emergency Department (ED) studies. The comparison of ED admission rates is complex in potentially being influenced by the characteristics of the region, ED, physician and patient. We aimed to study variation in ED admission rates of febrile children, to assess whether variation could be explained by disease severity and to identify patient groups with large variation, in order to use this to reduce unnecessary health care utilization that is often due to practice variation. Design MOFICHE (Management and Outcome of Fever in children in Europe, part of the PERFORM study, www.perform2020.org), is a prospective cohort study using routinely collected data on febrile children regarding patient characteristics (age, referral, vital signs and clinical alarming signs), diagnostic tests, therapy, diagnosis and hospital admission. Setting and participants Data were collected on febrile children aged 0-18 years presenting to 12 European EDs (2017-2018). Main outcome measures We compared admission rates between EDs by using standardised admission rates after adjusting for patient characteristics and initiated tests at the ED, where standardised rates >1 demonstrate higher admission rates than expected and rates <1 indicate lower rates than expected based on the ED patient population. Results We included 38,120 children. Of those, 9.695 (25.4%) were admitted to a general ward (range EDs 5.1-54.5%). Adjusted standardised admission rates ranged between 0.6 and 1.5. The largest variation was seen in short admission rates (0.1-5.0), PICU admission rates (0.2-2.2), upper respiratory tract infections (0.4-1.7) and fever without focus (0.5-2.7). Variation was small in sepsis/meningitis (0.9-1.1). Conclusions Large variation exists in admission rates of febrile children evaluated at European EDs, however, this variation is largely reduced after correcting for patient characteristics and therefore overall admission rates seem to ...
    Keywords Medicine ; R ; Science ; Q
    Subject code 360
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: A NICE combination for predicting hospitalisation at the Emergency Department

    Dorine M. Borensztajn / Nienke N. Hagedoorn / Enitan D. Carrol / Ulrich von Both / Juan Emmanuel Dewez / Marieke Emonts / Michiel van der Flier / Ronald de Groot / Jethro Herberg / Benno Kohlmaier / Emma Lim / Ian K. Maconochie / Federico Martinon-Torres / Daan Nieboer / Ruud G. Nijman / Rianne Oostenbrink / Marko Pokorn / Irene Rivero Calle / Franc Strle /
    Maria Tsolia / Clementien L. Vermont / Shunmay Yeung / Dace Zavadska / Werner Zenz / Michael Levin / Henriette A. Moll

    The Lancet Regional Health. Europe, Vol 8, Iss , Pp 100173- (2021)

    a European multicentre observational study of febrile children

    2021  

    Abstract: Background: Prolonged Emergency Department (ED) stay causes crowding and negatively impacts quality of care. We developed and validated a prediction model for early identification of febrile children with a high risk of hospitalisation in order to ... ...

    Abstract Background: Prolonged Emergency Department (ED) stay causes crowding and negatively impacts quality of care. We developed and validated a prediction model for early identification of febrile children with a high risk of hospitalisation in order to improve ED flow. Methods: The MOFICHE study prospectively collected data on febrile children (0–18 years) presenting to 12 European EDs. A prediction models was constructed using multivariable logistic regression and included patient characteristics available at triage. We determined the discriminative values of the model by calculating the area under the receiver operating curve (AUC). Findings: Of 38,424 paediatric encounters, 9,735 children were admitted to the ward and 157 to the PICU. The prediction model, combining patient characteristics and NICE alarming, yielded an AUC of 0.84 (95%CI 0.83-0.84).The model performed well for a rule-in threshold of 75% (specificity 99.0% (95%CI 98.9-99.1%, positive likelihood ratio 15.1 (95%CI 13.4-17.1), positive predictive value 0.84 (95%CI 0.82-0.86)) and a rule-out threshold of 7.5% (sensitivity 95.4% (95%CI 95.0-95.8), negative likelihood ratio 0.15 (95%CI 0.14-0.16), negative predictive value 0.95 (95%CI 0.95-9.96)). Validation in a separate dataset showed an excellent AUC of 0.91 (95%CI 0.90- 0.93). The model performed well for identifying children needing PICU admission (AUC 0.95, 95%CI 0.93-0.97). A digital calculator was developed to facilitate clinical use. Interpretation: Patient characteristics and NICE alarming signs available at triage can be used to identify febrile children at high risk for hospitalisation and can be used to improve ED flow. Funding: European Union, NIHR, NHS.
    Keywords Emgerency Department ; Febrile children ; Crowding ; Admission prediction ; Public aspects of medicine ; RA1-1270
    Subject code 310
    Language English
    Publishing date 2021-09-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Variation in antibiotic prescription rates in febrile children presenting to emergency departments across Europe (MOFICHE)

    Nienke N Hagedoorn / Dorine M Borensztajn / Ruud Nijman / Anda Balode / Ulrich von Both / Enitan D Carrol / Irini Eleftheriou / Marieke Emonts / Michiel van der Flier / Ronald de Groot / Jethro Herberg / Benno Kohlmaier / Emma Lim / Ian Maconochie / Federico Martinon-Torres / Daan Nieboer / Marko Pokorn / Franc Strle / Maria Tsolia /
    Shunmay Yeung / Dace Zavadska / Werner Zenz / Clementien Vermont / Michael Levin / Henriëtte A Moll / PERFORM consortium

    PLoS Medicine, Vol 17, Iss 8, p e

    A multicentre observational study.

    2020  Volume 1003208

    Abstract: Background The prescription rate of antibiotics is high for febrile children visiting the emergency department (ED), contributing to antimicrobial resistance. Large studies at European EDs covering diversity in antibiotic and broad-spectrum prescriptions ...

    Abstract Background The prescription rate of antibiotics is high for febrile children visiting the emergency department (ED), contributing to antimicrobial resistance. Large studies at European EDs covering diversity in antibiotic and broad-spectrum prescriptions in all febrile children are lacking. A better understanding of variability in antibiotic prescriptions in EDs and its relation with viral or bacterial disease is essential for the development and implementation of interventions to optimise antibiotic use. As part of the PERFORM (Personalised Risk assessment in Febrile illness to Optimise Real-life Management across the European Union) project, the MOFICHE (Management and Outcome of Fever in Children in Europe) study aims to investigate variation and appropriateness of antibiotic prescription in febrile children visiting EDs in Europe. Methods and findings Between January 2017 and April 2018, data were prospectively collected on febrile children aged 0-18 years presenting to 12 EDs in 8 European countries (Austria, Germany, Greece, Latvia, the Netherlands [n = 3], Spain, Slovenia, United Kingdom [n = 3]). These EDs were based in university hospitals (n = 9) or large teaching hospitals (n = 3). Main outcomes were (1) antibiotic prescription rate; (2) the proportion of antibiotics that were broad-spectrum antibiotics; (3) the proportion of antibiotics of appropriate indication (presumed bacterial), inappropriate indication (presumed viral), or inconclusive indication (unknown bacterial/viral or other); (4) the proportion of oral antibiotics of inappropriate duration; and (5) the proportion of antibiotics that were guideline-concordant in uncomplicated urinary and upper and lower respiratory tract infections (RTIs). We determined variation of antibiotic prescription and broad-spectrum prescription by calculating standardised prescription rates using multilevel logistic regression and adjusted for general characteristics (e.g., age, sex, comorbidity, referral), disease severity (e.g., triage level, fever duration, ...
    Keywords Medicine ; R
    Subject code 610
    Language English
    Publishing date 2020-08-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Impact of infection on proteome-wide glycosylation revealed by distinct signatures for bacterial and viral pathogens

    Esther Willems / Jolein Gloerich / Anouk Suppers / Michiel van der Flier / Lambert P. van den Heuvel / Nicole van de Kar / Ria H.L.A. Philipsen / Maurice van Dael / Myrsini Kaforou / Victoria J. Wright / Jethro A. Herberg / Federico Martinon Torres / Michael Levin / Ronald de Groot / Alain J. van Gool / Dirk J. Lefeber / Hans J.C.T. Wessels / Marien I. de Jonge / Amina Abdulla /
    Christoph Aebi / Koen van Aerde / Rachel Agbeko / Philipp Agyeman / Umberto D’alessandro / Ladan Ali / Wynand Alkema / Karen Allen / Fernando Álvez González / Suzanne Anderson / Imran Ansari / Tasnim Araf / Tanja Avramoska / Bryan Baas / Natalija Bahovec / Cristina Balo Farto / Anda Balode / A.M. Barendregt / Ruth Barral-Arca / María Barreiro Castro / Arta Bārzdiņa / David Bath / Sebastian Bauchinger / Lucas Baumard / Hinrich Baumgart / Frances Baxter / Ashley Bell / Kathryn Bell / Xabier Bello / Evangelos Bellos / Martin Benesch / Mirian Ben García / Joshua Bennet / Christoph Berger / J.M. van den Berg / Sara Bernhard-Stirnemann / Sagida Bibi / Christoph Bidlingmaier / Alexander Binder / Vera Binder / Kalifa Bojang / Dorine M. Borensztajn / Ulrich von Both / Karen Brengel-Pesce / Bryan van den Broek / Judith Buschbeck / Leo Calvo-Bado / Sandra Carnota / Enitan D. Carrol / Michael J. Carter / Miriam Cebey-López / Samba Ceesay / Astrid Ceolotto / Adora Chan / Elizabeth Cocklin / Kalvin Collings / Stephen Crulley / Aubrey Cunnington / María José Curras-Tuala / Katharina Danhauser / Saffiatou Darboe / Sarah Darnell / Tisham De / Dārta Deksne / Kirsty Devine / Juan Emmanuel Dewez / Julia Dudley / Carlos Durán Suárez / Ernst Eber / Irini Eleftheriou / Marieke Emonts / Daniel Fabian / Tobias Feuchtinger / Katy Fidler / Colin Fink / A.M. van Furth / Rachel Galassini / Siegfried Gallistl / Luisa García Vicente / Dace Gardovska / J. Geissler / G.P.J.M. Gerrits / Eric Giannoni / Ilona van der Giessen / Alberto Gómez-Carballa / Jose Gómez Rial / Gunther Gores / Dagne Grāvele / Matthias Griese / Ilze Grope / Meeru Gurung / L. de Haan / Nikolaus Haas / Dominic Habgood-Coote / Nienke N. Hagedoorn / Harald Haidl / Shea Hamilton / Almuthe Hauer / J. Heidema / Ulrich Heininger / Stefanie Henriet / Jethro Herberg / Clive Hoggart / Susanne Hösele / Sara Hourmat / Christa Hude / Martijn Huijnen / Heather Jackson / Rebecca Jennings / Joanne Johnston / Ilse Jongerius / Rikke Jorgensen / Christian Kahlert / Rama Kandasamy / Matthias Kappler / Julia Keil / Markus Keldorfer / Dominic F. Kell / Eunjung Kim / Sharon King / Lieke Kloosterhuis / Daniela S. Kohlfürst / Benno Kohlmaier / Laura Kolberg / Mojca Kolnik / Larissa Krenn / Taco Kuijpers / M. van der Kuip / Pilar Leboráns Iglesias / Simon Leigh / Manuel Leitner / M. van Leur / Emma Lim / Naomi Lin / Ching-Chuan Liu / Sabine Löffler / Eberhard Lurz / Ian Maconochie / Christine Mackerness / François Mallet / Federico Martinón-Torres / Antonis Marmarinos / Alex Martin / Mike Martin / José María Martinón Sánchez / Nazareth Martinón-Torres / Paul McAlinden / Anne McDonnell / Sam McDonald / C.J. Miedema / Anija Meiere / Stephanie Menikou / G. van Mierlo / Alec Miners / Ravi Mistry / Henriëtte A. Moll / Marine Mommert / Belén Mosquera Pérez / David R. Murdoch / Sobia Mustafa / Giancarlo Natalucci / C. Neeleman / Karen Newall / Samuel Nichols / Tobias Niedrist / Anita Niederer-Loher / Ruud Nijman / Ieva Nokalna / Urzula Nora Urbāne / Gudrun Nordberg / C.C. Obihara / Daniel O'Connor / Wilma Oosthoek / Veronika Osterman / Alexandre Pachot / D. Pajkrt / Jacobo Pardo-Seco / Stéphane Paulus / Jana Pavāre / Ivonne Pena Paz / Salina Persand / Andreas Pfleger / Klaus Pfurtscheller / Ria Philipsen / Ailsa Pickering / Benjamin Pierce / Heidemarie Pilch / Lidia Piñeiro Rodríguez / Sara Pischedda / Tina Plankar Srovin / Marko Pokorn / Andrew J. Pollard / Lena Pölz / Klara M. Posfay-Barbe / Petra Prunk / Zanda Pučuka / Glorija Rajic / Aqeela Rashid / Lorenzo Redondo-Collazo / Christa Relly / Irene Rivero Calle / Sara Rey Vázquez / Mathew Rhodes / Vivien Richmond / Thomas Riedel / Anna RocaIsatou Sarr / Siegfried Rödl / Carmen Rodríguez-Tenreiro / Sam Romaine / Emily Rowlands / Miguel Sadiki Ora / Manfred G. Sagmeister / Momodou Saidykhan / Antonio Salas / Luregn J. Schlapbach / D. Schonenberg / Fatou Secka / Katrīna Selecka / Sonia Serén Fernández / Cristina Serén Trasorras / Priyen Shah / Ching-Fen Shen / Shrijana Shrestha / Aleksandra Sidorova / Andrea Skrabl-Baumgartner / Giselle D’Souza / Matthias Sperl / Evelien Sprenkeler / Nina A. Schweintzger / Laura Stampfer / Molly Stevens / Martin Stocker / Volker Strenger / Dace Svile / Kelly Syggelou / Maria Tambouratzi / Chantal Tan / Emma Tavliavini / Evelyn Thomson / Stephen Thorson / Holger Till / G.A. Tramper-Stranders / Andreas Trobisch / Maria Tsolia / Effua Usuf / Lucille Valentine / Clementien L. Vermont / Marisol Vilas Iglesias / Katarina Vincek / Marie Voice / Gabriella de Vries / Diane Wallia / Shih-Min Wang / Clare Wilson / Amanda Wood / Phil Woodsford / Victoria Wright / Marietta Xagorari / Shunmay Yeung / Joany Zachariasse / Dace Zavadska / Syed M.A. Zaman / Judith Zandstra / Werner Zenz / Christoph Zurl / Manuela Zwerenz

    iScience, Vol 26, Iss 8, Pp 107257- (2023)

    2023  

    Abstract: Summary: Mechanisms of infection and pathogenesis have predominantly been studied based on differential gene or protein expression. Less is known about posttranslational modifications, which are essential for protein functional diversity. We applied an ... ...

    Abstract Summary: Mechanisms of infection and pathogenesis have predominantly been studied based on differential gene or protein expression. Less is known about posttranslational modifications, which are essential for protein functional diversity. We applied an innovative glycoproteomics method to study the systemic proteome-wide glycosylation in response to infection. The protein site-specific glycosylation was characterized in plasma derived from well-defined controls and patients. We found 3862 unique features, of which we identified 463 distinct intact glycopeptides, that could be mapped to more than 30 different proteins. Statistical analyses were used to derive a glycopeptide signature that enabled significant differentiation between patients with a bacterial or viral infection. Furthermore, supported by a machine learning algorithm, we demonstrated the ability to identify the causative pathogens based on the distinctive host blood plasma glycopeptide signatures. These results illustrate that glycoproteomics holds enormous potential as an innovative approach to improve the interpretation of relevant biological changes in response to infection.
    Keywords Health sciences ; Glycobiology ; Immunology ; Glycomics ; Science ; Q
    Subject code 572
    Language English
    Publishing date 2023-08-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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