Evidence map›Paper›PMID 41507796›Full record

ArticleBMC infectious diseases2026

Association between the Glucose-to-potassium ratio and prognosis in critically ill patients with sepsis and malignancy: a retrospective study based on the MIMIC database.

Bin Feng, Wenxin Shen, Sheng Cheng, Ping Wang, Yi Zhang

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Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Bin FengEmergency Department, Hubei Provincial People's Hospital, Wuhan City, Hubei Province, 430000, China.
Wenxin ShenGeneral Surgery, General Hospital of Central Theater Command, No. 627, Wulu Road, Wuchang District, Wuhan City, Hubei Province, 430070, China.
Sheng ChengGeneral Surgery, General Hospital of Central Theater Command, No. 627, Wulu Road, Wuchang District, Wuhan City, Hubei Province, 430070, China.
Ping WangGeneral Surgery, General Hospital of Central Theater Command, No. 627, Wulu Road, Wuchang District, Wuhan City, Hubei Province, 430070, China.
Yi ZhangGeneral Surgery, General Hospital of Central Theater Command, No. 627, Wulu Road, Wuchang District, Wuhan City, Hubei Province, 430070, China. zhangyihero@163.com.

Funding

Chinese Medicine Research Program of Hubei Provincial Health Commission ZY2023F049
6 · The paper itself

Abstract

backgroundGlucose-to-potassium ratio (GPR) has demonstrated significant clinical value in various acute conditions. However, its prognostic utility in critically ill individuals with sepsis complicated by malignancy has not been unraveled.

methodsThe studied population with sepsis and malignancy from the MIMIC-IV database was split into four cohorts by baseline GPR. Survival probabilities across GPR cohorts were compared through Kaplan-Meier survival curves. The link of GPR to clinical outcomes was unraveled employing the Cox proportional hazards model. The potential nonlinear relation was examined using restricted cubic spline (RCS) models. Result robustness was rated via subgroup analyses. Additionally, we utilized the Integrated Discrimination Improvement (IDI) and Net Reclassification Improvement (NRI) to assess the incremental predictive value of adding GPR to the existing scoring systems.

results4,802 critically ill individuals were encompassed. Their median age was 69.78 (IQR: 61.11–78.83), and 2,883 (60.04%) were male. KM analysis showed that patients with lower GPR values exhibited significantly higher ACM at 30, 90, and 360 days (log-rank P < 0.01). After the Cox models were fully adjusted, higher GPR levels were significantly associated with lowered likelihood of 30-day ACM (HR = 0.934, 95%CI 0.880–0.992, P = 0.026), 90-day ACM (HR = 0.923, 95%CI: 0.876–0.973, P = 0.003), and one-year ACM (HR = 0.954, 95%CI: 0.913–0.997, P = 0.038). RCS analysis revealed a nonlinear relation of GPR to ACM, with an inflection point at a GPR value of 1.725. Compared to patients with GPR levels above this threshold, those with lower GPR values had a 26.8% decreased 30-day ACM risk (HR = 0.732; 95%CI: 0.593–0.903). Furthermore, incorporating GPR into the SOFA and APS III scoring systems improved the predictive accuracy of the models.

conclusionGPR is significantly related to ACM among critically ill people with sepsis and malignancy. GPR possibly serves as a potential prognostic indicator for both short-term and long-term death risk in this vulnerable population. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Blood GlucoseGlucoseNeoplasmsPotassiumSepsisAgedCritical IllnessFemaleHumansKaplan-Meier EstimateMaleMiddle AgedPrognosisProportional Hazards ModelsRetrospective StudiesBlood GlucoseGlucosePotassiumAll-cause mortalityGlucose-to-potassium ratioMalignancyMIMIC-IVSepsis

Identifiers

PMID41507796
PMCPMC12870079

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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 OpenQuestion graph.