ArticleFrontiers in cellular and infection microbiology2025
CRAB-RSS: development and validation of a single-center risk stratification model for carbapenem-resistant
Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Development and validation of an interpretable machine learning-based model for predicting carbapenem-resistantFrontiers in cellular and infection microbiology · 2026Article
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3 authors.
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Abstract
Purpose: This study aimed to develop and validate the Carbapenem-Resistant Methods: A retrospective cohort analysis was performed on 412 patients (315 with CRAB and 97 with carbapenem-susceptible Results: The model demonstrated robust discriminative ability, with an area under the receiver operating characteristic curve (AUROC) of 0.887 in the derivation cohort and 0.918 in the validation cohort, along with satisfactory calibration (Brier score: 0.094 versus 0.088). Its performance was significantly superior to that of the Sequential Organ Failure Assessment (SOFA) score (ΔAUROC = +0.21). Conclusions: CRAB-RSS is a quantitative risk stratification tool derived from a single-center cohort for CRAB infections in intensive care unit patients, demonstrating superior performance to SOFA in local validation. External multicenter validation is warranted before broad clinical implementation. Its innovative features include: (1) a fixed-weighting design (e.g., assigning a baseline score of 2 points for mechanical ventilation), and (2) reliance on only three readily obtainable clinical variables to complete the assessment. Decision curve analysis revealed that the application of CRAB-RSS could reduce unnecessary carbapenem use by 28%-42% across probability thresholds of 10%-30%, with a maximum reduction of 38% achieved at the 20% threshold.
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