ArticleAntimicrobial resistance and infection control2024
Development of a risk prediction model for subsequent infection after colonization with carbapenem-resistant Enterobacterales: a retrospective cohort study.
Article in Antimicrobial resistance and infection control, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 5 citations in OpenAlex.
- When might we consider using the newer β-lactam agents as empirical therapy against presumed carbapenem-resistant gram-negative infections?JAC-antimicrobial resistance · 2026Review
- ICU Admission Screening for Multidrug-Resistant Organism Colonization and Subsequent Infection Risk: A Pilot Study.Diagnostics (Basel, Switzerland) · 2026Article
- Precision Approaches to Carbapenem-Resistant Infections in the ICU: Integrating Diagnostics, Stewardship, and Novel Therapies.Diagnostics (Basel, Switzerland) · 2026Review
- Colonization with Carbapenemase producing Enterobacterales (CPE) and associated alteration in microbiota composition in a tertiary care hospital in Egypt.BMC microbiology · 2026Article
- Risk factors associated with carbapenem-resistant Enterobacterales infections in hospitalized patients: A case-control study.Le infezioni in medicina · 2026Article
- Recurrence, Readmission, and Key Mortality Predictors in Patients with Carbapenem-Resistant Enterobacterales Infections.Diagnostics (Basel, Switzerland) · 2025Article
- Experience in Implementing Colonization Screening in a Multidisciplinary County Clinical Hospital in Romania.Microorganisms · 2025Article
- A nomogram incorporating linezolid and metabolite concentrations for predicting linezolid induced thrombocytopenia in patients with renal impairment.Scientific reports · 2024Article
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Authors and funding
8 authors at 7 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundColonization of carbapenem-resistant Enterobacterale (CRE) is considered as one of vital preconditions for infection, with corresponding high morbidity and mortality. It is important to construct a reliable prediction model for those CRE carriers with high risk of infection.
methodsA retrospective cohort study was conducted in two Chinese tertiary hospitals for patients with CRE colonization from 2011 to 2021. Univariable analysis and the Fine-Gray sub-distribution hazard model were utilized to identify potential predictors for CRE-colonized infection, while death was the competing event. A nomogram was established to predict 30-day and 60-day risk of CRE-colonized infection.
results879 eligible patients were enrolled in our study and divided into training (n = 761) and validation (n = 118) group, respectively. There were 196 (25.8%) patients suffered from subsequent CRE infection. The median duration of subsequent infection after identification of CRE colonization was 20 (interquartile range [IQR], 14-32) days. Multisite colonization, polymicrobial colonization, catheterization and receiving albumin after colonization, concomitant respiratory diseases, receiving carbapenems and antimicrobial combination therapy before CRE colonization within 90 days were included in final model. Model discrimination and calibration were acceptable for predicting the probability of 60-day CRE-colonized infection in both training (area under the curve [AUC], 74.7) and validation dataset (AUC, 81.1). Decision-curve analysis revealed a significantly better net benefit in current model. Our prediction model is freely available online at https://ken-zheng.shinyapps.io/PredictingModelofCREcolonizedInfection/ .
conclusionsOur nomogram has a good predictive performance and could contribute to early identification of CRE carriers with a high-risk of subsequent infection, although external validation would be required.
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