Prediction models in CMI

Leibovici, Leonard; Chemaly, Roy F.; CUTLER, S; Huttner, Angela; Kalil, André C.; Leeflang, Mariska; Lina, Gerard; Scudeller, Luigia; Tassios, Panayotis T.; Yusuf, Erlangga

doi:10.1016/j.cmi.2021.12.004

Cited by 6 publications

(1 citation statement)

References 14 publications

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“…Therefore, researchers aiming to establish a novel RST for early prediction of CRE BSIs should follow TRIPOD guidelines and criteria outlined by Leibovici et al . 31 , 32 Table 3 depicts important points that should be taken into consideration while constructing an optimal RST for the early prediction of CRE BSIs.…”

Section: Discussionmentioning

confidence: 99%

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?

Aslan,

Ezure,

Harris

et al. 2023

JAC-Antimicrobial Resistance

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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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Section: Discussionmentioning

confidence: 99%