Evidence map›Paper›PMID 40000743›Full record

ArticleScientific reports2025

Association of blood urea nitrogen to glucose ratio with 365-day mortality in critically ill patients with chronic kidney disease: a retrospective study.

Shenghua Du, Zhaoxian Yu, Junghong Li, Yingyi Jiang, Juan Wang, Jinxing Hu, Ning Su

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Shenghua Du *Department of Nephrology, Guangzhou Chest Hospital, Guangzhou Medical University, Guangzhou, China.
Zhaoxian Yu *State Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis, Department of Critical Care Medicine, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, Guangzhou, China.
Junghong LiState Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis, Department of Critical Care Medicine, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, Guangzhou, China.
Yingyi JiangState Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis, Department of Critical Care Medicine, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, Guangzhou, China.
Juan WangState Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis, Department of Critical Care Medicine, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, Guangzhou, China.
Jinxing HuState Key Laboratory of Respiratory Disease, Guangzhou Key Laboratory of Tuberculosis Research, Department of Tuberculosis, Guangzhou Chest Hospital, Institute of Tuberculosis, Guangzhou Medical University, Guangzhou, China. hujinxing@gzhmu.edu.cn.
Ning SuState Key Laboratory of Respiratory Disease, Guangzhou Chest Hospital, Guangzhou Medical University, Guangzhou, China. snxkyy@gzhmu.edu.cn.

Funding

Guangzhou Science and Technology Planning Project No. 2023A03J0539,2023A03J0992,2024A03J0580The National Key Research and Development Program of China No.2022YFC2304800
6 · The paper itself

Abstract

Low blood glucose levels and high urea nitrogen levels affect patient prognosis, but few studies have investigated whether the blood urea nitrogen to glucose (BGR) ratio predicts the risk of death.This retrospective research examined the connection between the BGR and 365-day mortality in patients with chronic kidney disease (CKD) stages 1-4 admitted to an intensive care unit (ICU). The study utilized data from 6,380 patients in the Medical Information Mart for Intensive Care IV version 2.2 (MIMIC-IV v2.2), taking into account confounding factors such as demographics, vital signs, laboratory indicators, and comorbidities. The study employed both univariate and multivariate Cox regression analyses stratified by BGR quartiles. Additionally, restricted cubic spline regression and inflection point analysis were used to explore the linear relationship between BGR and 365-day mortality, while Kaplan-Meier curve analysis was used to observe mortality changes under different BGR stratifications. Subgroup and mediating effect analyses were performed to evaluate the robustness of BGR's effect on 365-day mortality. The study found a cumulative 365-day mortality rate of 34.2% among CKD stages 1-4 patients, with a 2.43-fold increase in the risk of death associated with BGR and at least a 44% increase in the risk of death for each unit increase in BGR (P = 0.022). A significant nonlinear relationship was identified, showing a stepwise change in the risk of death with a marked increase in the slope of the curve for BGR values below 0.52 and above 0.9 (P < 0.001). Subgroup analyses indicated interactions between BGR and factors such as age, sepsis, first-day antibiotic use, and cerebrovascular disease (P < 0.05). In conclusion, this study confirms that BGR is a significant and stable predictor of 1-year mortality risk in patients with CKD stages 1-4. Interventions aimed at timely adjustment, correction of metabolic imbalances, reduction of inflammation, and management of BGR levels are beneficial for reducing mortality in this patient population.

Indexed as

Blood GlucoseBlood Urea NitrogenCritical IllnessRenal Insufficiency, ChronicAgedFemaleHumansIntensive Care UnitsKaplan-Meier EstimateMaleMiddle AgedPrognosisRetrospective StudiesRisk FactorsBlood GlucoseBlood Urea nitrogen to glucose ratioChronic kidney diseaseIntensive care unitMedical information Mart for intensive care IVMortality

Identifiers

PMID40000743
PMCPMC11862077

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.