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. 2024 Feb 27;6(1):dlae032.
doi: 10.1093/jacamr/dlae032. eCollection 2024 Feb.

Scoping review of risk-scoring tools for early prediction of bloodstream infections caused by carbapenem-resistant Enterobacterales: do we really have a reliable risk-scoring tool?

Abdullah Tarik Aslan  1 , Yukiko Ezure  1 , Patrick N A Harris  1   2 , David L Paterson  3   4
Affiliations

Scoping review of risk-scoring tools for early prediction of bloodstream infections caused by carbapenem-resistant Enterobacterales: do we really have a reliable risk-scoring tool?

Abdullah Tarik Aslan et al. JAC Antimicrob Resist. .

Abstract

Background: Bloodstream infections (BSIs) caused by carbapenem-resistant Enterobacterales (CRE) are a global health concern. Rapid identification of CRE may improve patient outcomes and reduce inappropriate antibiotic prescription. The use of risk-scoring tools (RSTs) can be valuable for optimizing the decision-making process for empirical antibiotic therapy of suspected CRE bacteraemia. These tools can also be used to triage use of expensive rapid diagnostic methods.

Methods: We systematically reviewed the relevant literature in PubMed/MEDLINE, CINAHL, Cochrane, Web of Science, Embase and Scopus up to 1 November 2022 to identify RSTs that predict CRE BSIs. The literature review and analysis of the articles were performed by two researchers; any inconsistencies were resolved through discussion.

Results: We identified 9 RSTs developed for early prediction of CRE BSIs and only logistic regression was used for most studies. These RSTs were quite different from each other in terms of their performance and the variables they included. They also had notable limitations and very few of them were externally validated.

Conclusions: RSTs for early prediction of CRE BSIs have limitations and lack of external validity outside the local setting in which they were developed. Future studies to identify optimal RSTs in high and low CRE-endemic settings are warranted. Approaches based on rapid diagnostics and RSTs should be compared with a treatment approach using both methods in a randomized controlled trial.

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Figures

Figure 1.
Figure 1.
Flow chart of the inclusion and exclusion process.
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