ArticleFrontiers in pharmacology2024
Development of prediction models for carbapenem-resistant
Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- A nomogram for predicting 30-day mortality in patients with carbapenem-resistant Klebsiella pneumoniae infection: a retrospective cohort study.BMC infectious diseases · 2026Article
- Machine learning-based prediction of carbapenem-resistantFrontiers in pharmacology · 2026Article
- Extended-Spectrum Beta-Lactamase Production and Carbapenem Resistance in Elderly Urinary Tract Infection Patients: A Multicenter Retrospective Study from Turkey.Antibiotics (Basel, Switzerland) · 2025Article
- The Novel "RISC" Score as a Risk-prediction Model of Carbapenem-resistant Hospital-acquired Infections in Adult Sepsis Patients - A Prospective Observational Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025Article
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Authors and funding
8 authors.
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Abstract
Objectives: To explore the risk factors and clinical outcomes of carbapenem-resistant Methods: Patients infected with KP from August 2019 to April 2021 in a tertiary hospital in Shanghai were enrolled. Risk factors associated with CRKP and 30-day mortality were identified using multivariate logistic regression analysis and Cox regression analysis. Results: Overall, 467 patients with KP infection were enrolled, wherein 210 (45.0%) patients were infected with CRKP and 257 (55.0%) patients with carbapenem-susceptible Conclusion: The predictive nomogram established in this study can facilitate the clinicians to make better clinical decisions when treating patients with KP infection.
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