ArticleAging clinical and experimental research2025
Development and validation of a nomogram model for predicting MDRO infections in elderly ICU patients with pulmonary infections.
Article in Aging clinical and experimental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 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
- Review of risk factors and prediction models for multidrug-resistant bacterial pulmonary infections in patients with chronic obstructive pulmonary disease.The Journal of international medical research · 2026Review
- Risk Factors and Medical Burden of Multidrug-Resistant Organism Infection in Hospitalized Patients with Pneumonia.Infection and drug resistance · 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
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMDRO infections are increasingly problematic in ICUs, especially among elderly patients with lung infections, but knowledge about these infections in this group is limited. This study aimed to assess the status and risk factors of MDRO infections in elderly ICU patients and develop a risk prediction model to aid clinical decisions.
methodsUsing a retrospective cohort study, a total of 494 elderly patients with lung infections admitted to the ICU from January 2017 to December 2022 were selected, and the patients were divided into the MDRO group (259) and the non-MDRO group (235) based on whether or not the patients developed MDRO infections. Lasso and multifactorial logistic regression were applied to analyze the independent risk factors for multidrug-resistant bacterial infections in elderly patients with pulmonary infections, and to construct a nomogram model of the risk of MDRO infections. The differentiation, consistency and clinical benefit of the model were evaluated by receiver operating characteristic curve(ROC), calibration curves and decision curve analysis, respectively, and the stability of the model was verified by Bootstrap method.
resultsDuration of hospitalization before MDRO diagnosis, chronic obstructive pulmonary disease, personal history of cerebrovascular disease, tracheotomy and prior carbapenem exposure were found to be independent risk factors for multidrug-resistant bacterial infections in elderly patients with pulmonary infections in the intensive care unit (all p < 0.05). The nomogram model, constructed based on the results of logistic regression analysis, exhibited an area under the ROC curve of 0.748 with a 95% confidence interval of 0.705-0.790. The Hosmer-Lemeshow test indicated that the model predicted a good fit (p = 0.75), and the DCA curve suggested that the model had a good clinical utility.
conclusionRisk prediction model is effective in predicting the risk of MDRO infection in the ICU elderly pulmonary infection population and can be used to assess risk and inform preventive treatment and nursing interventions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.