Development and validation of a nomogram-based prediction model for hospital-acquired carbapenem-resistant Acinetobacter baumannii in critically ill patients: a multicenter retrospective cohort study

This internally validated nomogram provides an accessible tool for early identification of ICU patients at elevated risk of hospital-acquired CRAB colonization or infection. Its integration into clinical practice may facilitate risk-based prevention strategies. Future research should focus on prospective external validation and integration of environmental surveillance and microbiological genomic data to enhance the model's predictive accuracy and generalizability.

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Publication Details

Journal
Frontiers in Cellular and Infection Microbiology
Published
2025-11-26
DOI
https://doi.org/10.3389/fcimb.2025.1679272
Citations
1
Primary Topic
Antibiotic Resistance in Bacteria
Type
article
Field-Weighted Citation Impact
0.59
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article

Development and validation of a nomogram-based prediction model for hospital-acquired carbapenem-resistant Acinetobacter baumannii in critically ill patients: a multicenter retrospective cohort study

Juan Tang, Jun Cheng, Xianglin Luo, Li Cao et al.
1 citations
Frontiers in Cellular and Infection Microbiology
Antibiotic Resistance in Bacteria
0.59
article

Development and validation of a nomogram-based prediction model for hospital-acquired carbapenem-resistant Acinetobacter baumannii in critically ill patients: a multicenter retrospective cohort study

Juan Tang, Jun Cheng, Xianglin Luo, Li Cao, Min Feng, Ping Zhou, Wenjing Jiang, Yan Tang, Anna Dai
article en
1 citations

Abstract

This internally validated nomogram provides an accessible tool for early identification of ICU patients at elevated risk of hospital-acquired CRAB colonization or infection. Its integration into clinical practice may facilitate risk-based prevention strategies. Future research should focus on prospective external validation and integration of environmental surveillance and microbiological genomic data to enhance the model's predictive accuracy and generalizability.

Frontiers in Cellular and Infection MicrobiologyVol. 15
Zigong First People's Hospital (CN), Sichuan University of Science and Engineering (CN)
Openalex Percentile: Top 27%
Antibiotic Resistance in Bacteria
0.59
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