ArticleFrontiers in neurology2024
Prediction of pulmonary infection in patients with severe myelitis by NPAR combined with spinal cord lesion segments.
Article in Frontiers in neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Exploratory analysis of predictive models in the field of myelitis: a systematic review and meta-analysis.Frontiers in immunology · 2025Pooled it
- Association Between the Systemic Inflammatory Response Index and Severe Infection in Patients with Diabetic Foot.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Article
- Neutrophil Percentage-to-Albumin Ratio: Unveiling a New Perspective on Mortality Risk in Intensive Care Unit Asthma Patients-A Retrospective Cohort Study.Mediators of inflammation · 2026Article
- Elevated neutrophil percentage-to-albumin ratio is associated with postoperative pneumonia in patients with hip fractures.Frontiers in medicine · 2026Article
- Neutrophil percentage-to-albumin ratio (NPAR) as a biomarker for asthma: a cross-sectional analysis of NHANES data.BMC pulmonary medicine · 2025Article
- Predictive role of neutrophil-percentage-albumin ratio (NPAR) in overactive bladder (OAB) in adults in the United States: a cross-sectional study.Journal of health, population, and nutrition · 2025Article
- Low NAPR as a Novel Indicator for PredictingClinical interventions in aging · 2025Article
- Study on the link between neutrophil percentage to albumin ratio and acute kidney injury in severe ischemic stroke patients during hospitalization.Frontiers in neurology · 2025Article
Corrections and comments
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Authors and funding
12 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: To investigate the risk factors of pulmonary infection in patients with severe myelitis and construct a prediction model. Methods: The clinical data of 177 patients with severe myelitis at admission from the First Affiliated Hospital of Zhengzhou University from January 2020 to December 2022 were retrospectively analyzed. The predicting factors associated with pulmonary infection were screened by multivariate logistic regression analysis, and the nomogram model was constructed, and the predictive efficiency of the model was evaluated, which was verified by calibration curve, Hosmer-Lemeshow goodness-of-fit test and decision curve analysis. Results: Of the 177 patients with severe myelitis, 38 (21.5%) had pulmonary infection. Multivariate logistic regression analysis showed that neutrophil percentage to albumin ratio (NPAR) ( Conclusion: The nomogram model constructed based on NPAR combined with high cervical cord lesion at admission has good clinical application value in predicting pulmonary infection in patients with severe myelitis, which is conducive to clinicians' evaluation of patients.
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