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Tools for the Real-Time Assessment of a Pseudomonas aeruginosa Infection Model
Published on: April 6, 2021
Recalibration and Validation of a Risk Scoring Tool to Predict Multidrug-Resistant Pseudomonas aeruginosa
Nhu Le1, Hyunuk Seung2, Megan E Dunning3
1University of Maryland School of Medicine, Baltimore, Maryland, USA.
None:
We recalibrated a risk score to identify difficult-to-treat resistant Pseudomonas aeruginosa among 197 intensive care unit patients with bloodstream or respiratory infection. Prevalence was 6%. Models showed moderate discrimination (c-statistic 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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