ReviewBiomedical reports2023
Lower respiratory tract infections due to multi‑drug resistant pathogens in central nervous system injuries (Review).
Review in Biomedical reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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
7 citing papers in PubMed, 8 citations in OpenAlex.
- Review
- Association of delayed enteral nutrition with hospital-acquired pneumonia and 30-day mortality following craniotomy for severe traumatic brain injury: a retrospective cohort study.Frontiers in nutrition · 2026Article
- Evaluation of the Efficacy of a Nomogram to Predict Multidrug-Resistant Pulmonary Infections Based on Data from Neurosurgery Ward Patients.Infection and drug resistance · 2025Article
- Clinical Characteristics and Independent Risk Factors for Multidrug-ResistantInfection and drug resistance · 2025Article
- Pathophysiology of acute lung injury in patients with acute brain injury: the triple-hit hypothesis.Critical care (London, England) · 2024Review
- Prevalence and Clinical Characteristics of Bacterial Pneumonia in Neurosurgical Emergency Center Patients: A Retrospective Study Spanning 13 Years at a Tertiary Center.Microorganisms · 2023Article
- Investigation of risk factors for external ventricular drainage‑associated central nervous system infections in patients undergoing neurosurgery.Medicine internationalArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pneumonia is one of the most prevalent infections in the intensive care unit (ICU), where pneumonia may occur during hospitalization in the ICU as a complication. ICU patients with central nervous system (CNS) injuries are not an exception, and they may even be more susceptible to infections such as pneumonia due to issues such as swallowing difficulties, the requirement for mechanical ventilation, and extended hospital stay. Numerous common CNS injuries, such as ischemic stroke, traumatic brain injury, subarachnoid hemorrhage, and intracerebral hemorrhage, can prolong hospital stay and increase the risk of pneumonia. Multidrug-resistant (MDR) microorganisms are a common and significant concern, with increased mortality in nosocomial pneumonia. However, research on pneumonia due to MDR pathogens in patients with CNS injuries is limited. The aim of the present review was to provide the current evidence regarding pneumonia due to MDR pathogens in patients with CNS injuries. The prevalence of pneumonia due to MDR pathogens in CNS injuries differs among different settings, types of CNS injuries, geographical areas, and time periods in which the studies were performed. Specific risk factors for the emergence of pneumonia due to MDR pathogens have been identified in ICUs and neurological rehabilitation units. Antimicrobial resistance is currently a global issue, although using preventive measures, early diagnosis, and close monitoring of MDR strains may lessen its impact. Since there is a lack of information on these topics, more multicenter prospective studies are required to offer insights into the clinical features and outcomes of these patients.
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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.