Association between serum glucose/potassium ratio and acute kidney injury in patients with traumatic brain injury: based on MIMIC-IV database.

Overview

1. Emergency Comprehensive Ward Electronic Intensive Care Unit, Huizhou First Hospital, Huizhou, China
2. Department of Emergency Surgery, Huizhou First Hospital, Huizhou, China

Abstract

Background: Acute kidney injury (AKI) is a common complication in patients with traumatic brain injury (TBI) and is closely linked to prognosis. Although the serum glucose-to-potassium ratio (GPR) is a prognostic indicator in various diseases, its clinical significance in this specific patient population remains unexplored.

Methods: We identified patients requiring intensive care unit admission from the critical care medical information database and stratified them into quintiles based on GPR. The nonlinear relationship between GPR and AKI in TBI patients was analysed by restricted cubic splines (RCS). We conducted an exploratory subgroup analysis to investigate the differences in this association across different subgroups. Using mediation analysis, we aimed to explore the potential mediating effect of fluid balance in the development of AKI in patients with GPR and TBI.

Results: 1536 patients with TBI were included, of whom 1162 developed AKI. Every one unit increase in GPR increases the risk of AKI in TBI patients by 1.3% (odds ratio (OR) = 1.013; 95% confidence interval CI) = 1.004–1.024, P = 0.014). Further, RCS analysis indicated an approximately linear positive correlation between the increase in GPR and the AKI risk (P = 0.235). Subgroup analysis indicated that both patients with abnormal serum glucose and those with normal potassium levels showed a significant positive correlation with AKI risk (OR>1, P < 0.05). Fluid balance potentially mediated the association between GPR and TBI-induced AKI in part, with a mediating effect of 4.49 × 10−4 (95% CI = 2.04 × 10−4–1.18 × 10−3, P < 0.001).

Conclusions: GPR is significantly associated with AKI risk in TBI patients, which may be mediated by FB. We identified GPR as a new biomarker for assessing AKI risk in TBI patients, thereby offering fresh insights into prevention and treatment for this population.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper links to its data and to no code of its authors: see the Data section.

Tracing map

A tracing map links a paper to the code its authors published: this paper has none, so it has no map.

Data

Datasets cited

• physionet.org/content/mimiciv, at PhysioNet; found in the references

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 30 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 4 authors, 14 MeSH terms, 35 references.

Cite

This paper

Chen, Y., Li, S., Zhang, C., & Zeng, X. (2026). Association between serum glucose/potassium ratio and acute kidney injury in patients with traumatic brain injury: based on MIMIC-IV database. Journal of global health, 16, 04108. https://doi.org/10.7189/jogh.16.04108

Similar papers

The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.

[1] doi:10.1038/s41598-026-57082-4

Glucose-to-potassium ratio has a non-linear J-shaped association with acute kidney injury risk in traumatic brain injury.

Journal: Scientific reports

In common: physionet.org/content/mimiciv, traumatic brain injury, 1 reference

[2] doi:10.3389/fmed.2025.1523535

Nomogram establishment for gastrointestinal bleeding prediction in ICU patients with traumatic brain injury based on the MIMIC-IV database.

Journal: Frontiers in medicine

In common: physionet.org/content/mimiciv, traumatic brain injury, 1 reference

[3] doi:10.1002/ibra.70015 [code]

Impact of early dexmedetomidine administration on short- and long-term outcomes in critically traumatic brain injury patients: A retrospective study using the MIMIC-IV database.

Journal: Ibrain

In common: physionet.org/content/mimiciv, traumatic brain injury, 1 reference

[4] doi:10.1371/journal.pone.0339879

Prognostic value of red blood cell distribution width in traumatic brain injury: A mediation and deep learning analysis.

Journal: PloS one

In common: physionet.org/content/mimiciv, traumatic brain injury, 1 reference

[5] doi:10.3389/fneur.2024.1407107

Association between early coagulation disorders and the risk of severe acute kidney injury in traumatic brain injury patients: a retrospective cohort study using the MIMIC-IV database.

Journal: Frontiers in neurology

In common: physionet.org/content/mimiciv, traumatic brain injury, 1 reference

[6] doi:10.1136/bmjresp-2023-002263

Development and validation of a predictive model for pulmonary infection risk in patients with traumatic brain injury in the ICU: a retrospective cohort study based on MIMIC-IV.

Journal: BMJ open respiratory research

In common: physionet.org/content/mimiciv, traumatic brain injury, 1 reference

[7] doi:10.3390/bioengineering11010049

Blood Urea Nitrogen-to-Albumin Ratio May Predict Mortality in Patients with Traumatic Brain Injury from the MIMIC Database: A Retrospective Study.

Journal: Bioengineering (Basel, Switzerland)

In common: physionet.org/content/mimiciv, traumatic brain injury, 1 reference

[8] doi:10.3389/fncom.2026.1824898

Deep learning guided propofol ketamine dosing and inflammation trajectories in elderly burns.

Journal: Frontiers in computational neuroscience

In common: physionet.org/content/mimiciv, 1 reference

[9] doi:10.3389/fneur.2026.1848730

Early prediction of incident delirium in traumatic brain injury: a multicenter validated and interpretable machine learning approach.

Journal: Frontiers in neurology

In common: physionet.org/content/mimiciv, traumatic brain injury

[10] doi:10.3389/fneur.2026.1770629

Development and internal-external validation of a risk prediction nomogram for secondary myocardial injury in traumatic brain injury.

Journal: Frontiers in neurology

In common: physionet.org/content/mimiciv, traumatic brain injury

Contribute

The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.

Request its removal

To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).

Discussion: code errors and mismatches between the code and the paper about this paper and its code, from readers and its authors, beside the paper and its tracing map.

Reproductions: reports from readers who ran the authors' code and did not get the paper's result, what they ran, with which environment, commit and data.

Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.