Hospital-wide, dynamic, individualized prediction of central line-associated bloodstream infections-development and temporal evaluation of six prediction models

Hospital-wide CLABSI prediction models offer clinical utility based on medium-risk thresholds. Clinical utility at present may be limited as the model performance deteriorated over time.

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Publication Details

Journal
BMC Infectious Diseases
Published
2025-04-24
DOI
https://doi.org/10.1186/s12879-025-10854-1
Citations
3
Primary Topic
Antibiotic Use and Resistance
Type
article
Field-Weighted Citation Impact
3.79

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article

Hospital-wide, dynamic, individualized prediction of central line-associated bloodstream infections-development and temporal evaluation of six prediction models

Frank Rademakers, Pieter Stijnen, Yves Debaveye, Shan Gao et al.
3 citations
BMC Infectious Diseases
Antibiotic Use and Resistance
3.79
article

Hospital-wide, dynamic, individualized prediction of central line-associated bloodstream infections-development and temporal evaluation of six prediction models

Frank Rademakers, Pieter Stijnen, Yves Debaveye, Shan Gao, Laure Wynants, Veerle Cossey, Ben Van Calster, Elena Albu, Christel Janssens
article en
3 citations

Abstract

Hospital-wide CLABSI prediction models offer clinical utility based on medium-risk thresholds. Clinical utility at present may be limited as the model performance deteriorated over time.

BMC Infectious DiseasesVol. 25(1)
Maastricht University (NL), UCLouvain (BE), KU Leuven (BE)
KU Leuven
Openalex Percentile: Top 7%
Antibiotic Use and Resistance
3.79
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Hospital-wide, dynamic, individualized prediction of central line-associated bloodstream infections-development and temporal evaluation of six prediction models — Frank Rademakers, Pieter Stijnen, et al. · BMC Infectious Diseases (2025) | TGRS Research Map | TGRS