Observational studyJournal of clinical laboratory analysis2020
Development and verification of a discriminate algorithm for diagnosing post-neurosurgical bacterial meningitis-A multicenter observational study.
Observational study in Journal of clinical laboratory analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 21 citations in OpenAlex.
- Machine learning models for predicting cerebrospinal fluid bacterial culture outcomes in post-neurosurgical meningitis-development and temporal three-year validation.Archives of microbiology · 2026Article
- First reported mortality from XDR Acinetobacter Baumannii Meningitis following posterior lumbar interbody fusion in Iran: a case report.BMC infectious diseases · 2026Article
- Impact of an interdisciplinary standard operating procedure on external ventricular drainage-associated ventriculitis and antibiotic use in intensive care unit patients: a retrospective pre-post study a retrospective pre-post study.Journal of anesthesia, analgesia and critical care · 2026Article
- Development and validation of a diagnostic nomogram for post-neurosurgical bacterial meningitis.BMC neurology · 2026Article
- Cerebrospinal fluid cellular and inflammatory profiles in tumor-related postoperative infections: influencing factors and clinical features in oncological patients.American journal of cancer research · 2026Article
- Diagnostic and prognostic value of combined cerebrospinal fluid parameters for post-neurosurgical intracranial infection in brain tumor patients.Scientific reports · 2025Article
- A novel dynamic nomogram based on clinical features and laboratory indicators for diagnosis of post-neurosurgery intracranial infection.Translational neuroscience · 2025Article
- Ventriculostomy-associated infection (VAI) in patients with acute brain injury-a retrospective study.Acta neurochirurgica · 2024Article
- Characterization and diagnosis spectrum of patients with cerebrospinal fluid pleocytosis.Infection · 2024Article
- An Investigation into Diagnostic Strategies for Central Nervous System Infections Through the Integration of Metagenomic Next-Generation Sequencing and Conventional Diagnostic Methods.Infection and drug resistance · 2024Article
- Immune cell and biochemical marker levels in the cerebrospinal fluid and blood of patients with brucella meningitis and their clinical significance.American journal of translational research · 2024Article
- The value of elevated cerebrospinal fluid lactate concentrations in post-neurosurgical bacterial meningitis.BMC neurology · 2023Observational
- Spatial and temporal variation of routine parameters: pitfalls in the cerebrospinal fluid analysis in central nervous system infections.Journal of neuroinflammation · 2022Review
- Post-neurosurgical meningitis; gram negative bacilli vs. gram positive cocci.Caspian journal of internal medicine · 2022Article
- Current Perspectives on the Diagnosis and Management of Healthcare-Associated Ventriculitis and Meningitis.Infection and drug resistance · 2022Review
- Evaluation of the Diagnostic and Prognostic Value of CSF Presepsin Levels in Patients with Postneurosurgical Ventriculitis/Meningitis.Infection and drug resistance · 2021Article
- Development and verification of a discriminate algorithm for diagnosing post-neurosurgical bacterial meningitis-A multicenter observational study.Journal of clinical laboratory analysis · 2020Observational
- Toll-like receptor linked cytokine profiles in cerebrospinal fluid discriminate neurological infection from sterile inflammation.Brain communications · 2020Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
objectiveTo evaluate the diagnostic accuracy of cerebrospinal fluid (CSF)-based routine clinical examinations for post-neurosurgical bacterial meningitis (PNBM) in multicenter post-neurosurgical patients.
methodsThe diagnostic accuracies of routine examinations to distinguish between PNBM and post-neurosurgical aseptic meningitis (PNAM) were evaluated by determining the values of the area under the curve (AUC) of the receiver operating characteristic curve in a retrospective analysis of post-neurosurgical patients in four centers.
resultsAn algorithm was constructed using the logistic analysis as a classical method to maximize the capacity for differentiating the two classes by integrating the measurements of five variables. The AUC value of this algorithm was 0.907, which was significantly higher than those of individual routine blood/CSF examinations. The predicted value from 70 PNBM patients was greater than the cutoff value, and the diagnostic accuracy rate was 75.3%. The results of 181 patients with PNAM showed that 172 patients could be correctly identified with specificity of 95.3%, while the overall correctness rate of the algorithm was 88.6%.
conclusionsRoutine biomarkers such as CSF/blood glucose ratio (C/B-Glu), CSF lactate (C-Lac), CSF glucose concentration (C-Glu), CSF leukocyte count (C-Leu), and blood glucose concentration (B-Glu) can be used for auxiliary diagnosis of PNBM. The multicenter retrospective research revealed that the combination of the five abovementioned biomarkers can effectively improve the efficacy of the PNBM diagnosis.
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