Development and Validation of a Nomogram for Predicting Multidrug-Resistant <i>Pseudomonas Aeruginosa</i> Pneumonia in Hospitalized Patients.

In this study, we developed and validated a predictive model for MDR-PA pneumonia risk by integrating host comorbidities, iatrogenic interventions, and antimicrobial exposure. The model demonstrates potential utility in early identification of high-risk patients and may inform antimicrobial stewardship strategies in regions with predominant cephalosporin/aminoglycoside resistance patterns.

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Publication Details

Journal
PubMed
Published
2025-01-01
DOI
https://doi.org/10.2147/idr.s527949
Primary Topic
Antibiotic Resistance in Bacteria
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and Validation of a Nomogram for Predicting Multidrug-Resistant Pseudomonas Aeruginosa Pneumonia in Hospitalized Patients.

Qianglin Zeng, Ling Pan, Zhuman Du, Xiaoju Chen et al.
PubMed
Antibiotic Resistance in Bacteria
article

Development and Validation of a Nomogram for Predicting Multidrug-Resistant Pseudomonas Aeruginosa Pneumonia in Hospitalized Patients.

Qianglin Zeng, Ling Pan, Zhuman Du, Xiaoju Chen, Dan Yang
article en

Abstract

In this study, we developed and validated a predictive model for MDR-PA pneumonia risk by integrating host comorbidities, iatrogenic interventions, and antimicrobial exposure. The model demonstrates potential utility in early identification of high-risk patients and may inform antimicrobial stewardship strategies in regions with predominant cephalosporin/aminoglycoside resistance patterns.

PubMedVol. 18
Sichuan University (CN)
Good health and well-being
Openalex Percentile: Top 86%
Antibiotic Resistance in Bacteria
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