ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2020
A multidrug-resistant microorganism infection risk prediction model: development and validation in an emergency medicine population.
Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- A practical nomogram for predicting multidrug-resistant organism infection in a tertiary county-level hospital to guide antimicrobial therapy.New microbes and new infections · 2026Article
- [Risk factors associated with inadequacy of empirical treatment in patients with sepsis and bacteremia attended in an emergency department].Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2026Observational
- Bloodstream infections due to multi-drug resistant bacteria in the emergency department: prevalence, risk factors and outcomes-a retrospective observational study.Internal and emergency medicine · 2025Observational
- Analysis of the etiological characteristics of multidrug-resistant organisms and prognostic factors in ICU patients.Frontiers in physiology · 2025Article
- Machine Learning-Based Prediction Model for Multidrug-Resistant Organisms Infections: Performance Evaluation and Interpretability Analysis.Infection and drug resistance · 2025Article
- A deep learning model for predicting multidrug-resistant organism infection in critically ill patients.Journal of intensive care · 2023Article
- Ten Issues to Update in Nosocomial or Hospital-Acquired Pneumonia: An Expert Review.Journal of clinical medicine · 2023Review
- The Interventions and Challenges of Antimicrobial Stewardship in the Emergency Department.Antibiotics (Basel, Switzerland) · 2023Review
- Assessment of risk factors associated with multidrug-resistant organism infections among patients admitted in a tertiary hospital - a retrospective study.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023Article
- Establishment and Validation of Models for the Risk of Multi-Drug Resistant Bacteria Infection and Prognosis in Elderly Patients with Pulmonary Infection: A Multicenter Retrospective Study.Infection and drug resistance · 2023Article
- Construction and validation of a predictive risk model for nosocomial infections with MDRO in NICUs: a multicenter observational study.Frontiers in medicine · 2023Article
- Risk Factors of Infections Due to Multidrug-Resistant Gram-Negative Bacteria in a Community Hospital in Rural Thailand.Tropical medicine and infectious disease · 2022Article
- A Data-Driven Framework for Identifying Intensive Care Unit Admissions Colonized With Multidrug-Resistant Organisms.Frontiers in public health · 2022Article
- Development of an Emergency Revisit Score for Patients With Drug-Related Problems.The Journal of pharmacy technology : jPT : official publication of the Association of Pharmacy Technicians · 2021Article
- [Strategies for improving the antibiotic treatment prescription in the Emergency Department].Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2020Article
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16 authors.
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Abstract
The aim was to develop a predictive model of infection by multidrug-resistant microorganisms (MDRO). A national, retrospective cohort study was carried out including all patients attended for an infectious disease in 54 Spanish Emergency Departments (ED), in whom a microbiological isolation was available from a culture obtained during their attention in the ED. A MDRO infection prediction model was created in a derivation cohort using backward logistic regression. Those variables significant at p < 0.05 assigned an integer score proportional to the regression coefficient. The model was then internally validated by k-fold cross-validation and in the validation cohort. A total of 5460 patients were included; 1345 (24.6%) were considered to have a MDRO infection. Twelve independent risk factors were identified in the derivation cohort and were combined into an overall score, the ATM (assessment of threat for MDRO) score. The model achieved an area under the curve-receiver operating curve of 0.76 (CI 95% 0.74-0.78) in the derivation cohort and 0.72 (CI 95% 0.70-0.75) in the validation cohort (p = 0.0584). Patients were then split into 6 risk categories and had the following rates of risk: 7% (0-2 points), 16% (3-5 points), 24% (6-9 points), 33% (10-14 points), 47% (15-21 points), and 71% (> 21 points). Findings were similar in the validation cohort. Several patient-specific factors were independently associated with MDRO infection risk. When integrated into a clinical prediction rule, higher risk scores and risk classes were related to an increased risk for MDRO infection. This clinical prediction rule could be used by providers to identify patients at high risk and help to guide antibiotic strategy decisions, while accounting for clinical judgment.
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