ArticleMicrobiology spectrum2025
Predicting infections with multidrug-resistant organisms (MDROs) in neurocritical care patients with hospital-acquired pneumonia (HAP): development of a novel multivariate prediction model.
Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 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
- Prognostic factors and predictive modeling of in-hospital mortality among MDRO-positive inpatients: a retrospective cohort and GBD MICROBE study.Antonie van Leeuwenhoek · 2026Article
- Pediatric Traumatic Brain Injury and Healthcare-associated Infections: A Prospective Study on Determinants of Mortality Using Least Absolute Shrinkage and Selection Operator Regression.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2026Article
- Recent advancements in artificial intelligence applications for the mitigation of antimicrobial resistance: challenges and opportunities.JAC-antimicrobial resistance · 2026Review
- Practice model of unit-based clinical pharmacists' individualized daily antimicrobial use density monitoring report on antimicrobial stewardship in intensive care unit of a tertiary hospital in Guangxi, China: an interrupted time series analysis.Antimicrobial resistance and infection control · 2026Article
- Development and Validation of a Nomogram to Predict Multidrug-Resistant Organism Infection in Severe Pneumonia: A Retrospective Cohort Study.International journal of general medicine · 2026Article
- Explainable Machine Learning Integrating Patient and Environmental Factors for Predicting Multidrug-Resistant Organism Colonization or Infection on ICU Admission.Infection and drug resistance · 2026Article
- Development and Validation of a Nomogram for Predicting Mortality in Patients with Multidrug-Resistant Bacteria Infection: A Retrospective Cohort Study in China.International journal of general medicine · 2026Article
- Development and validation of an interpretable machine learning model for predicting multidrug-resistant infections in ICU patients.Frontiers in cellular and infection microbiology · 2026Article
- The Systemic Inflammation Response Index (SIRI) for Stratifying Mortality Risk in Multidrug-Resistant Lower Respiratory Tract Infections Acquired in Hospital Settings.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2026Article
- Risk Factors and Medical Burden of Multidrug-Resistant Organism Infection in Hospitalized Patients with Pneumonia.Infection and drug resistance · 2026Article
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Authors and funding
9 authors.
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Abstract
Hospital-acquired pneumonia (HAP) is prevalent in the neuro-intensive care unit (NICU), significantly increasing susceptibility to infections with multidrug-resistant organisms (MDROs), which result in high mortality rates and substantial healthcare burdens. Recognition and intervention are paramount. This study aimed to build a prediction model for MDRO infections among NICU patients with HAP. Clinical and laboratory data were collected from the NICU of a grade-A tertiary hospital. Five machine learning models (logistic regression, classification tree, support vector machine, random forest, and K-nearest neighbor) were evaluated based on sensitivity, specificity, accuracy, and receiver operating characteristic curves. A nomogram was developed using the model that performed best in MDRO infection prediction. The performance and clinical utility were assessed using the calibration curve, Brier score, and decision curve analysis. Among 791 neurocritical care patients with HAP, 172 (21.7%) were diagnosed with MDRO infections. The prediction model established by logistic regression exhibited the best performance, with an area under the curve of 0.805. Length of NICU stay (odds ratio [OR] 1.078; 95% confidence interval [CI], 1.070-1.141;
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