ArticleThe journal of spinal cord medicine2025
Development and validation of a risk nomogram to estimate risk of hyponatremia after spinal cord injury: A retrospective single-center study.
Article in The journal of spinal cord medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.
What it found
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The trial behind it
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Who cites it
3 citing papers in PubMed, 2 syntheses or guidelines pooled it, 0 citations in OpenAlex.
- Factors associated with hyponatremia in patients with acute spinal cord injury: a systematic review and meta-analysis.Frontiers in medicine · 2026Pooled it
- Meta-analysis of factors affecting hyponatremia after spinal cord injury.Frontiers in neurologyPooled it
- Construction and validation of a risk prediction model for hyponatremia caused by cervical spinal cord injury.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Article
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Authors and funding
18 authors at 1 institution in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study aimed to establish a nomogram-based assessment for predicting the risk of hyponatremia after spinal cord injury (SCI).
designThe study is a retrospective single-center study.
participantsSCI patients hospitalized in the First Affiliated Hospital of Guangxi Medical University.
settingThe First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
methodsWe performed a retrospective clinical study to collect SCI patients hospitalized in the First Affiliated Hospital of Guangxi Medical University from 2016 to 2020. Based on their clinical scores, the SCI patients were grouped as either hyponatremic or non-hyponatremic, SCI patients in 2016-2019 were identified as the training set, and patients in 2020 were identified as the test set. A nomogram was generated, the calibration curve, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) were used to validate the model.
resultsA total of 895 SCI patients were retrieved. After excluding patients with incomplete data, 883 patients were finally included in this study and used to construct the nomograms. The indicators used in the nomogram included sex, completeness of SCI, pneumonia, urinary tract infection, fever, constipation, white blood cell (WBC), albumin and serum Ca
conclusionsNomogram has good predictive ability, sex, completeness of SCI, pneumonia, urinary tract infection, fever, constipation, WBC, albumin and serum Ca
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