Evaluating rapid antimicrobial susceptibility testing directly from positive blood cultures for <i>Escherichia coli, Klebsiella pneumoniae</i> , and <i>Pseudomonas aeruginosa</i> in Chinese hospitals

The CLSI rapid AST method is reliable for E coli, K pneumoniae, and P aeruginosa in Chinese hospitals.

Authors

Institutions

Publication Details

Journal
Laboratory Medicine
Published
2025-04-17
DOI
https://doi.org/10.1093/labmed/lmaf018
Citations
1
Primary Topic
Bacterial Identification and Susceptibility Testing
Type
article
Field-Weighted Citation Impact
1.32
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating rapid antimicrobial susceptibility testing directly from positive blood cultures for Escherichia coli, Klebsiella pneumoniae , and Pseudomonas aeruginosa in Chinese hospitals

Xinlu Bai, Qiao-Lin Zhang, Dongmei Huang, Ling Yan et al.
1 citations
Laboratory Medicine
Bacterial Identification and Susceptibility Testing
1.32
article

Evaluating rapid antimicrobial susceptibility testing directly from positive blood cultures for Escherichia coli, Klebsiella pneumoniae , and Pseudomonas aeruginosa in Chinese hospitals

Xinlu Bai, Qiao-Lin Zhang, Dongmei Huang, Ling Yan, Zhu Mei
article en
1 citations

Abstract

The CLSI rapid AST method is reliable for E coli, K pneumoniae, and P aeruginosa in Chinese hospitals.

Laboratory MedicineVol. 56(6)
Chongqing University (CN), Chongqing Emergency Medical Center (CN), First People's Hospital of Chongqing (CN)
Openalex Percentile: Top 19%
Bacterial Identification and Susceptibility Testing
1.32
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.