ArticleFrontiers in cellular and infection microbiology2023
Carbapenem-resistant gram-negative bacterial infection in intensive care unit patients: Antibiotic resistance analysis and predictive model development.
Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 21 citations in OpenAlex.
- Observational
- Clinical Characteristics of Carbapenem-Resistant Gram-Negative Bloodstream Infections and Fungemia Among High-Risk Pediatric Patients Receiving Empirical Antifungal Therapy.Pathogens (Basel, Switzerland) · 2026Observational
- Clinical Risk Factors and Outcomes of Carbapenem-Resistant PInfection and drug resistance · 2026Article
- Development and validation of a machine learning-based early warning model for carbapenem-resistantFrontiers in microbiology · 2026Article
- Prevalence of nosocomial infections in intensive care units and the role of the infection prevention and control team in implementing protective measures - a case study of a university hospital in Morocco.GMS hygiene and infection control · 2026Article
- Article
- Early appropriate therapy with polymyxin B reduces the mortality in burn sepsis caused by carbapenem-resistant gram-negative bacteria: a retrospective analysis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 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
- Distinct relative abundances in pathogens detected in mechanically ventilated patients with suspected pneumonia in the intensive care unit at King Abdulaziz University Hospital.Scientific reports · 2025Article
- Utilization of machine learning to predict antibiotic resistant event outcomes in acute myeloid leukemia patients undergoing induction chemotherapy.Frontiers in cellular and infection microbiology · 2025Article
- Development and Validation of a Nomogram for Predicting Multidrug-ResistantInfection and drug resistance · 2025Article
- Cost-effectiveness analysis of metagenomic next-generation sequencing versus traditional bacterial cultures for postoperative central nervous system infections in critical care settings: a prospective pilot study.Frontiers in cellular and infection microbiology · 2025Article
- External validation of the ICU-CARB score to predict carbapenem-resistant gram-negative bacteria carriage in critically ill patients upon ICU admission: a multicenter analysis.Antimicrobial resistance and infection control · 2024Article
- Development and application of a risk nomogram for the prediction of risk of carbapenem-resistant Acinetobacter baumannii infections in neuro-intensive care unit: a mixed method study.Antimicrobial resistance and infection control · 2024Article
- Risk Factors Analysis and Prediction Model Establishment for Carbapenem-Resistant Enterobacteriaceae Colonization: A Retrospective Cohort Study.Infection and drug resistance · 2024Article
- Carbapenem-resistant Gram-negative bacteria (CR-GNB) in ICUs: resistance genes, therapeutics, and prevention - a comprehensive review.Frontiers in public health · 2024Review
- Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, we analyzed the antibiotic resistance of carbapenem-resistant gram-negative bacteria (CR-GNB) in intensive care unit (ICU) patients and developed a predictive model. We retrospectively collected the data of patients with GNB infection admitted to the ICU of the First Affiliated Hospital of Fujian Medical University, who were then divided into a CR and a carbapenem-susceptible (CS) group for CR-GNB infection analysis. Patients admitted between December 1, 2017, and July 31, 2019, were assigned to the experimental cohort (n = 205), and their data were subjected to multivariate logistic regression analysis to identify independent risk factors for constructing the nomogram-based predictive model. Patients admitted between August 1, 2019, and September 1, 2020, were assigned to the validation cohort for validating the predictive model (n = 104). The Hosmer-Lemeshow test and receiver operating characteristic (ROC) curve analysis were used to validate the model's performance. Overall, 309 patients with GNB infection were recruited. Of them, 97 and 212 were infected with CS-GNB and CR-GNB, respectively. Carbapenem-resistant
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