OSCR

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

Overview

Authors: Hao Wang1, Qing Dao1, Xiaomei Li1, Meng Shi1, Meili Yang1, Cui Gu1, Jihua Wang1
  1. Department of Neurology, Yuxi People’s Hospital, Hongta District, Yuxi, 653100 Yunnan China
Journal: Scientific reports, volume 16, issue 1, article 26829
Dates: received 19 June 2025; accepted 4 June 2026; published online 12 June 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1038/s41598-026-57082-4 · PMID 42286140 · PMCID PMC13518952 · OpenAlex W7164527558
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: human (organism), traumatic brain injury (population), clinical / translational (subfield)
Methods: Statistics, Machine learning
Keywords: Traumatic brain injury, Acute kidney injury, Glucose-to-potassium ratio, Non-linear relationship, Risk prediction model, Biomarkers, Medical research, Nephrology, Neurology, Risk factors
MeSH: Acute Kidney Injury*, Brain Injuries, Traumatic*, Glucose*, Potassium*, Adult, Aged, Biomarkers, Female, Humans, Male, Middle Aged, Prognosis, Retrospective Studies, Risk Factors (* major topic)
Topic: Acute Kidney Injury Research (Nephrology, Medicine), according to OpenAlex
Citations: not cited yet (Europe PMC); 39 references in the paper

Abstract

Acute kidney injury (AKI) is a severe complication of traumatic brain injury (TBI) associated with poor prognosis. The glucose-to-potassium ratio (GPR), an emerging marker of metabolic stress, may play a role in post-TBI AKI, but its precise relationship is unclear. This retrospective cohort study investigated the association between early-admission GPR and AKI in 2,388 TBI patients from the MIMIC-IV database. Using multivariable logistic regression and restricted cubic spline (RCS) models, we explored both linear and non-linear associations. Of the patients, 56.7% (1,355/2,388) developed AKI. While a simple linear association between GPR and AKI was not significant after adjusting for confounders (P = 0.20), we discovered a significant non-linear "J-shaped" relationship (P for non-linearity = 0.012). The risk of AKI increased steeply once GPR surpassed an inflection point of approximately 30. A random forest model incorporating multiple clinical variables demonstrated significantly superior predictive performance (AUC = 0.808) compared to traditional logistic regression (AUC = 0.785; DeLong test P = 0.025). These findings reveal that a high GPR (> 30) acts as an independent non-linear risk indicator for post-TBI AKI, Rather than a direct driver of injury, an elevated GPR represents a valuable early warning signal for metabolic decompensation, suggesting clinicians should closely monitor high-risk patients to facilitate early recognition of AKI.

Supplementary Information: The online version contains supplementary material available at 10.1038/s41598-026-57082-4.

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

Code

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Data

Datasets cited

Data availability

The data that support the findings of this study are publicly available in the Medical Information Mart for Intensive Care IV (MIMIC-IV) database (version 3.1), which can be accessed at https://physionet.org/content/mimiciv/3.1/. Access to the database requires completion of the CITI “Data or Specimens Only Research” training course.

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

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, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 7 authors, 10 keywords, 14 MeSH terms, 39 references.

Cite

This paper

Wang, H., Dao, Q., Li, X., Shi, M., Yang, M., Gu, C., & Wang, J. (2026). Glucose-to-potassium ratio has a non-linear J-shaped association with acute kidney injury risk in traumatic brain injury. Scientific reports, 16(1), 26829. https://doi.org/10.1038/s41598-026-57082-4

BibTeX

@article{wang2026glucose,
author = {Wang, Hao and Dao, Qing and Li, Xiaomei and Shi, Meng and Yang, Meili and Gu, Cui and Wang, Jihua},
title = {{Glucose-to-potassium ratio has a non-linear J-shaped association with acute kidney injury risk in traumatic brain injury}},
journal = {Scientific reports},
year = {2026},
month = jun,
volume = {16},
number = {1},
pages = {26829},
publisher = {Nature Publishing Group},
issn = {2045-2322},
doi = {10.1038/s41598-026-57082-4},
url = {https://doi.org/10.1038/s41598-026-57082-4},
pmid = {42286140},
pmcid = {PMC13518952}
}

RIS

TY - JOUR
AU - Wang, Hao
AU - Dao, Qing
AU - Li, Xiaomei
AU - Shi, Meng
AU - Yang, Meili
AU - Gu, Cui
AU - Wang, Jihua
TI - Glucose-to-potassium ratio has a non-linear J-shaped association with acute kidney injury risk in traumatic brain injury
T2 - Scientific reports
J2 - Sci Rep
PY - 2026
DA - 2026/06/12
VL - 16
IS - 1
SP - 26829
SN - 2045-2322
PB - Nature Publishing Group
DO - 10.1038/s41598-026-57082-4
UR - https://doi.org/10.1038/s41598-026-57082-4
LA - en
ER -

CSL-JSON

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