Observational studyAntimicrobial resistance and infection control2020
Predicting the occurrence of multidrug-resistant organism colonization or infection in ICU patients: development and validation of a novel multivariate prediction model.
Observational study in Antimicrobial resistance and infection control, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Comparison and validation of multiple machine learning algorithms for predicting MDRO infection in catheter-related bloodstream patients: a multicenter cohort study.Microbiology spectrum · 2026Article
- Early prediction of colonization by carbapenemase-producing enterobacterales at ICU admission using machine learning.Scientific reports · 2026Article
- Risk Factors and Medical Burden of Multidrug-Resistant Organism Infection in Hospitalized Patients with Pneumonia.Infection and drug resistance · 2026Article
- Association between MDROs colonization and subsequent infections in ICU patients: a retrospective cohort study.Frontiers in public health · 2026Article
- Predicting infections with multidrug-resistant organisms (MDROs) in neurocritical care patients with hospital-acquired pneumonia (HAP): development of a novel multivariate prediction model.Microbiology spectrum · 2025Article
- Analysis of the etiological characteristics of multidrug-resistant organisms and prognostic factors in ICU patients.Frontiers in physiology · 2025Article
- Development and validation of a risk prediction model for multidrug-resistant organisms infection in diabetic foot ulcer patients.Frontiers in endocrinology · 2025Article
- Development and validation of a nomogram-based prediction model for hospital-acquired carbapenem-resistant Acinetobacter baumannii in critically ill patients: a multicenter retrospective cohort study.Frontiers in cellular and infection microbiology · 2025Article
- Development and validation of machine learning models to predict MDRO colonization or infection on ICU admission by using electronic health record data.Antimicrobial resistance and infection control · 2024Article
- Implications of deduplication on the detection rates of multidrug-resistant organism (MDRO) in various specimens: insights from the hospital infection surveillance program.Antimicrobial resistance and infection control · 2024Article
- Development and application of a nomogram model for the prediction of carbapenem-resistantMicrobiology spectrum · 2024Article
- The Prevalence of Multidrug-Resistant and Extensively Drug-Resistant Infections in Respiratory Intensive Care Unit, Causative Microorganisms and Mortality.Infection and drug resistance · 2024Article
- A deep learning model for predicting multidrug-resistant organism infection in critically ill patients.Journal of intensive care · 2023Article
- The ICU-CARB score: a novel clinical scoring system to predict carbapenem-resistant gram-negative bacteria carriage in critically ill patients upon ICU admission.Antimicrobial resistance and infection control · 2023Article
- Development and Validation of a Nomogram Prediction Model for Multidrug-Resistant Organisms Infection in a Neurosurgical Intensive Care Unit.Infection and drug resistance · 2023Article
- Tracking Epidemiological Characteristics and Risk Factors of Multi-Drug Resistant Bacteria in Intensive Care Units.Infection and drug resistance · 2023Article
- Article
- Lumbar Cistern Drainage and Gentamicin Intrathecal Injection in the Treatment of Carbapenem-Resistant Klebsiella Pneumoniae Intracranial Infection After Intracerebral Hemorrhage craniotomy: A Case Report.Infection and drug resistance · 2022Article
- Study on the Detection and Infection Distribution of Multidrug-Resistant Organisms in Different Specimens.Infection and drug resistance · 2022Article
- Profiles of multidrug-resistant organisms among patients with bacteremia in intensive care units: an international ID-IRI survey.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2021Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMultidrug-resistant organisms (MDROs) have emerged as an important cause of poor prognoses of patients in the intensive care unit (ICU). This study aimed to establish an easy-to-use nomogram for predicting the occurrence of MDRO colonization or infection in ICU patients.
methodsIn this study, we developed a nomogram based on predictors in patients admitted to the ICU in the First Affiliated Hospital of Xiamen University from 2016 to 2018 using univariate and multivariate logistic regression analysis. We externally validated this nomogram in patients from another hospital over a similar period, and assessed its performance by calculating the area under the receiver operating characteristic (ROC) curve (AUC) and performing a decision curve analysis.
results331 patients in the primary cohort and 181 patients in the validation cohort were included in the statistical analysis. Independent factors derived from the primary cohort to predict MDRO colonization or infection were male sex, higher C-reactive protein (CRP) levels and higher Pitt bacteremia scores (Pitt scores), which were all assembled in the nomogram. The nomogram yielded good discrimination with an AUC of 0.77 (95% CI 0.70-0.84), and the range of threshold probabilities of decision curves was approximately 30-95%.
conclusionThis easy-to-use nomogram is potentially useful for predicting the occurrence of MDRO colonization or infection in ICU patients.
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