Antimicrobial resistance analysis of <i>Klebsiella pneumoniae</i> bloodstream infections based on a random forest algorithm: a longitudinal study based on data from tertiary hospitals in China from 2012 to 2023

CRKP, especially ST11-blaKPC, drives excess mortality. Key predictors highlight the urgency for enhanced AMR surveillance and targeted therapy.

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Publication Details

Journal
International Health
Published
2025-12-12
DOI
https://doi.org/10.1093/inthealth/ihaf158
Primary Topic
Antibiotic Resistance in Bacteria
Type
article
Field-Weighted Citation Impact
0.00
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article

Antimicrobial resistance analysis of Klebsiella pneumoniae bloodstream infections based on a random forest algorithm: a longitudinal study based on data from tertiary hospitals in China from 2012 to 2023

Z. Wang, Xiaojie Yu, Na Wang, Ailing Hu et al.
International Health
Antibiotic Resistance in Bacteria
article

Antimicrobial resistance analysis of Klebsiella pneumoniae bloodstream infections based on a random forest algorithm: a longitudinal study based on data from tertiary hospitals in China from 2012 to 2023

Z. Wang, Xiaojie Yu, Na Wang, Ailing Hu, PingPing Song, Ying Wei
article en

Abstract

CRKP, especially ST11-blaKPC, drives excess mortality. Key predictors highlight the urgency for enhanced AMR surveillance and targeted therapy.

International Health
First Hospital of Qinhuangdao (CN)
Good health and well-being
Openalex Percentile: Top 43%
Antibiotic Resistance in Bacteria
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