Identifying patients at high risk for antibiotic treatment following hospital admission: a predictive score to improve antimicrobial stewardship measures

The PILGRIM score effectively identifies newly hospitalized patients likely to receive antibiotics, demonstrating high specificity and PPV. Its application can improve future AMS programs and trial recruitment by facilitating targeted inclusion of patients, especially in the hematological and oncological setting. Further -external and prospective- validation is needed to broaden the model's applicability.

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Publication Details

Journal
Infection
Published
2025-04-15
DOI
https://doi.org/10.1007/s15010-025-02525-9
Citations
1
Primary Topic
Antibiotic Use and Resistance
Type
article
Field-Weighted Citation Impact
1.26

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article

Identifying patients at high risk for antibiotic treatment following hospital admission: a predictive score to improve antimicrobial stewardship measures

Christian G. Giske, Gunnar Skov Simonsen, Siri Goepel, Kerstin Albus et al.
1 citations
Infection
Antibiotic Use and Resistance
1.26
article

Identifying patients at high risk for antibiotic treatment following hospital admission: a predictive score to improve antimicrobial stewardship measures

Christian G. Giske, Gunnar Skov Simonsen, Siri Goepel, Kerstin Albus, Dorthea Hagen Oma, Lena M. Biehl, Lars Kåre Selland Kleppe, Jörg Janne Vehreschild, Johanna Kessel, Annika Y. Claßen, Carolin Koll, Silje Bakken Jørgensen, Maria J. G. T. Vehreschild, Uga Dumpis, Makeda Semret, Noa Eliakim Raz, Moritz Beck
article en
1 citations

Abstract

The PILGRIM score effectively identifies newly hospitalized patients likely to receive antibiotics, demonstrating high specificity and PPV. Its application can improve future AMS programs and trial recruitment by facilitating targeted inclusion of patients, especially in the hematological and oncological setting. Further -external and prospective- validation is needed to broaden the model's applicability.

InfectionVol. 53(5)
Goethe University Frankfurt (DE), University Hospital of North Norway (NO), Karolinska University Hospital (SE), Tel Aviv University (IL), University of Cologne (DE), Stavanger University Hospital (NO), Akershus University Hospital (NO), Rabin Medical Center (IL), Haukeland University Hospital (NO), McGill University Health Centre (CA), Karolinska Institutet (SE), Centre for Arctic Gas Hydrate, Environment and Climate (NO), Pauls Stradiņš Clinical University Hospital (LV), German Center for Infection Research (DE), University Children's Hospital Tübingen (DE), University Hospital Frankfurt (DE), Cologne Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases (DE), University Hospital Cologne (DE), Klinikum Leverkusen (DE), UiT The Arctic University of Norway (NO), University of Latvia (LV)
Joint Programming Initiative on Antimicrobial Resistance, Bundesministerium für Bildung und Forschung, Universitätsklinikum Köln
Reduced inequalities
Openalex Percentile: Top 20%
Antibiotic Use and Resistance
1.26
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