ArticleFrontiers in medicine2024
Sodium fluctuation as a parameter in predicting mortality in general hospitalized patients.
Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Multiple electrolyte imbalances in hospitalized patients: a multimorbidity perspective from a large, retrospective cohort study.Annals of medicine · 2026Article
- Impact of organ dysfunction on outcomes in pediatric hypernatremia: a retrospective observational study.Pediatric nephrology (Berlin, Germany) · 2025Observational
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Authors and funding
8 authors.
Funding
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Abstract
Background: Dysnatremia is the most common electrolyte disorder in hospitalized patients. Sodium fluctuation level may be a better parameter in dysnatremia management. We aimed to examine the association between sodium fluctuation level during hospitalization and mortality and to evaluate its value in predicting poor prognosis among general hospitalized patients. Methods: Data were collected from patients admitted to Peking Union Medical College Hospital. The generalized estimated equation (GEE) was used to examine the relationship between sodium fluctuation level and mortality. Receiver-operating characteristic (ROC) curve analysis was performed to calculate the optimal cutoff value and the area under the ROC curve (AUC). Results: Sodium fluctuation level showed a dose-dependent association with increased mortality in general hospitalized patients. After adjusting age, sex, length of hospital stay, and Charlson comorbidity index, the ORs of group G2 to G6 were 5.92 (95% CI 5.16-6.79), 26.45 (95% CI 22.68-30.86), 50.71 (95% CI 41.78-61.55), 104.38 (95% CI 81.57-133.58), and 157.64 (95% CI 112.83-220.24), respectively, Conclusion: We determined that sodium fluctuation level had a dose-dependent association with increased mortality in general hospitalized patients. Sodium fluctuation level could be used to develop a single parameter system in predicting mortality in general hospitalized patients with acceptable accuracy, sensitivity, and specificity.
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