ArticleScientific reports2023
Risk predict model using multi-drug resistant organism infection from Neuro-ICU patients: a retrospective cohort study.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 10 citations in OpenAlex.
- Peripheral blood biomarkers in PD-1/PD-L1 immunotherapy: distinguishing predictive from prognostic biomarkers.Frontiers in immunology · 2026Review
- Development and validation of an interpretable machine learning model for predicting multidrug-resistant infections in ICU patients.Frontiers in cellular and infection microbiology · 2026Article
- Pathogen characteristics and pre-index clinical factors associated with multidrug-resistant organism infections in intensive care unit patients.Frontiers in public health · 2026Observational
- Risk Factors and Medical Burden of Multidrug-Resistant Organism Infection in Hospitalized Patients with Pneumonia.Infection and drug resistance · 2026Article
- Active surveillance of multidrug-resistant organism colonization in a tertiary hospital in Northern Greece.Scientific reports · 2025Article
- 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
- Association Between Malnutrition and Multi-Drug Resistant Bacterial Infections in Neurosurgical Intensive Care Unit Patients.Infection and drug resistance · 2025Article
- Distribution patterns and evolution of antimicrobial resistance in Gram-negative bacteria within the intensive care unit of a tertiary hospital from 2019 to 2024.Frontiers in microbiology · 2025Article
- Infection Prevention and Control Strategies According to the Type of Multidrug-Resistant Bacteria andAntibiotics (Basel, Switzerland) · 2024Review
- 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
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this study was to analyze the current situation and risk factors of multi-drug-resistant organism (MDRO) infection in Neuro-intensive care unit (ICU) patients, and to develop the risk predict model. The data was collected from the patients discharged from Neuro-ICU of grade-A tertiary hospital at Guizhou province from January 2018 to April 2020. Binary Logistics regression was used to analyze the data. The model was examined by receiver operating characteristic curve (ROC). The grouped data was used to verify the sensitivity and specificity of the model. A total of 297 patients were included, 131 patients infected with MDRO. The infection rate was 44.11%. The results of binary Logistics regression showed that tracheal intubation, artery blood pressure monitoring, fever, antibiotics, pneumonia were independent risk factors for MDRO infection in Neuro-ICU (P < 0.05), AUC = 0.887. The sensitivity and specificity of ROC curve was 86.3% and 76.9%. The risk prediction model had a good predictive effect on the risk of MDRO infection in Neuro ICU, which can evaluate the risk and provide reference for preventive treatment and nursing intervention.
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