Recalibration and Validation of a Risk Scoring Tool to predict Multi-Drug Resistant <i>Pseudomonas aeruginosa</i>

Abstract We recalibrated a risk score to identify difficult-to-treat resistant Pseudomonas aeruginosa among 197 ICU patients with bloodstream or respiratory infection. Prevalence was 6%. Models showed moderate discrimination (c-statistics 0.71–0.74), low sensitivity (18%), and high specificity (94%–96%), highlighting the need for local validation and consideration of performance tradeoffs.

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Publication Details

Journal
Open Forum Infectious Diseases
Published
2026-06-16
DOI
https://doi.org/10.1093/ofid/ofag359
Primary Topic
Antibiotic Resistance in Bacteria
Type
article
Field-Weighted Citation Impact
0.00
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article

Recalibration and Validation of a Risk Scoring Tool to predict Multi-Drug Resistant Pseudomonas aeruginosa

Emily L. Heil, Kimberly C. Claeys, Megan Dunning, Hyunuk Seung et al.
Open Forum Infectious Diseases
Antibiotic Resistance in Bacteria
article

Recalibration and Validation of a Risk Scoring Tool to predict Multi-Drug Resistant Pseudomonas aeruginosa

Emily L. Heil, Kimberly C. Claeys, Megan Dunning, Hyunuk Seung, Nhu Le
article en

Abstract

Abstract We recalibrated a risk score to identify difficult-to-treat resistant Pseudomonas aeruginosa among 197 ICU patients with bloodstream or respiratory infection. Prevalence was 6%. Models showed moderate discrimination (c-statistics 0.71–0.74), low sensitivity (18%), and high specificity (94%–96%), highlighting the need for local validation and consideration of performance tradeoffs.

Open Forum Infectious Diseases
University of Maryland, Baltimore (US)
Reduced inequalities
Openalex Percentile: Top 11%
Antibiotic Resistance in Bacteria
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