ArticleInfection and drug resistance2024
Risk Factors for Multidrug Resistance in Patients Infected with Carbapenem-Resistant
Article in Infection and drug resistance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Determinants of Carbapenem-ResistantAntibiotics (Basel, Switzerland) · 2026Article
- Interpretable machine learning for early detection of carbapenem-resistantFrontiers in public health · 2026Article
- Identification of lipid metabolism-related signature in nonalcoholic fatty liver: evidences from transcriptomics and single cell RNA-sequencing analysis.European journal of medical research · 2025Article
- Clinical Characteristics, Virulence Profile, and Molecular Epidemiology ofInfection and drug resistance · 2025Article
- The clinical prediction model to distinguish between colonization and infection byFrontiers in microbiology · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Our aim was to determine the risk factors for multidrug resistance in patients with carbapenem-resistant Methods: The information of 196 patients with Results: Length of stay (LOS) [odds ratio (OR) and 95% confidence interval (CI): 4.558 (1.157-17.961), P = 0.030], intensive care unit (ICU) stay within 30 days [OR and 95% CI: 12.643 (3.780-42.293), P < 0.001], Glasgow Coma Scale (GCS) score [OR and 95% CI: 13.569 (2.738-67.236), P = 0.001], fungal infection [OR and 95% CI: 6.398 (1.969-20.785), P = 0.002], and cardiovascular disease (CVD) [OR and 95% CI: 3.871 (1.293-11.592), P = 0.016] were identified as risk factors for multidrug resistance in CRKP patients. The concordance index (C-index) of the constructed nomogram was 0.950 (95% CI: 0.945-0.955). Moreover, decision curve analysis elucidated the nomogram utilization across a wide range of probability thresholds, ranging from 1% to 100%. Finally, internal validation using random data validated the robustness of the predictive model, yielding a C-index of 0.937. Conclusion: The LOS, ICU stay within 30 days, GCS score, fungal infection, and CVD were recognized as risk factors for multidrug resistance in CRKP patients. The constructed nomogram could accurately predict multidrug-resistant CRKP infections in patients.
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