Evidence mapPaperPMID 40810063Full record

ArticleFrontiers in endocrinology2025

Association between serum glucose potassium ratio and short- and long-term all-cause mortality in patients with sepsis admitted to the intensive care unit: a retrospective analysis based on the MIMIC-IV database.

Jiaqi Lou, Ziyi Xiang, Xiaoyu Zhu, Jingyao Song, Shengyong Cui, Jiliang Li, Guoying Jin, Neng Huang, Youfen Fan, Sida Xu

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 4 pooled it
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jiaqi Lou *Burn Department, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China.
Ziyi Xiang *Institute of Pathology, Faculty of Medicine, University of Bonn, Bonn, Germany.
Xiaoyu Zhu *Health Science Center, Ningbo University, Ningbo, Zhejiang, China.
Jingyao SongSchool of Mental Health, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Shengyong CuiBurn Department, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China.
Jiliang LiBurn Department, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China.
Guoying JinBurn Department, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China.
Neng HuangBurn Department, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China.
Youfen FanBurn Department, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China.
Sida XuBurn Department, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The glucose potassium ratio (GPR) is emerging as a biomarker for predicting clinical outcomes in various conditions. However, its value in sepsis patients admitted to the intensive care unit (ICU) remains unclear. Prior studies have shown conflicting results, with some indicating GPR's potential as an early warning indicator of metabolic decompensation in septic patients, while others found no significant association. The current study addresses these inconsistencies by conducting the first large-scale, systematic validation of GPR in ICU sepsis patients. Methods: This retrospective cohort study used patient records from the MIMIC-IV database to examine outcomes in sepsis patients. The primary outcomes were hospital and ICU mortality at 30, 60, and 90 days. The correlation between GPR and these outcomes was evaluated using Kaplan-Meier survival analysis, Cox regression models, and restricted cubic spline (RCS) regression analysis. Sensitivity analyses, including Propensity Score Matching (PSM) and E-value Quantification and Subgroup analyses, were performed to assess the robustness of the findings. Results: The study included 9,108 patients with sepsis. Kaplan-Meier survival curves indicated progressively worsening survival probabilities from Q1 to Q4 for both hospital and ICU mortality across all time points. Cox analysis revealed that patients in the highest GPR quartile (Q4) had a significantly increased risk of mortality compared to those in the lowest quartile (Q1). A nonlinear relationship between GPR and mortality was identified, with a critical threshold at GPR=30. Subgroup analysis showed that the effect size and direction were consistent across different subgroups. Sensitivity analyses, including E-value quantification and propensity score matching, supported the robustness of our findings. Conclusion: This study demonstrates that higher GPR levels strongly predict increased short- and long-term mortality risk in ICU-admitted sepsis patients. The composite nature of GPR, reflecting both hyperglycemia and hypokalemia, offers incremental prognostic value beyond single metabolic parameter. A critical threshold effect was observed at GPR=30, where risk substantially increased. This consistent association across patient subgroups positions GPR as a promising biomarker for identifying high-risk sepsis patients, warranting prospective validation.

Indexed as

Blood GlucoseIntensive Care UnitsPotassiumSepsisAgedBiomarkersDatabases, FactualFemaleHospital MortalityHumansMaleMiddle AgedPrognosisRetrospective StudiesBiomarkersBlood GlucosePotassiumCox regressionglucose potassium ratiointensive care unitlong termMIMICmortalitysepsis

Identifiers

PMID40810063
PMCPMC12343221

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.