Evidence map›Paper›PMID 41970991›Full record

ArticleFrontiers in endocrinology2026

The correlation between blood urea nitrogen to creatinine ratio and short-term and long-term all-cause mortality in sepsis-associated acute kidney injury patients aged 50 and above: a large retrospective cohort study.

Bin Yang, Ke Qin, Tingyuan Zhang, Huanzhang Shao

Abstract read
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Article in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Bin YangDepartment of Critical Care Medicine, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Ke QinDepartment of Critical Care Medicine, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Tingyuan ZhangDepartment of Critical Care Medicine, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Huanzhang ShaoDepartment of Critical Care Medicine, Henan Provincial People's Hospital, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the association between the blood urea nitrogen to creatinine ratio (BUN/Cr) and all-cause mortality in sepsis-associated acute kidney injury (SA-AKI) patients aged ≥ 50 years. Methods: This single-center, retrospective cohort study included 764 patients aged ≥ 50 years with SA-AKI hospitalized at Henan Provincial People's Hospital from January 2020 to August 2024. Patients were grouped into BUN/Cr tertiles: T1 (≤ 16.00), T2 (16.01-22.50), and T3 (> 22.50). The primary outcomes were 28-day, 90-day, and 1-year all-cause mortality. Associations between BUN/Cr and mortality were evaluated using Cox regression and subgroup analyses. Predictive value and dose-response relationships were assessed via receiver operating characteristic (ROC) curves and restricted cubic spline (RCS) models. Results: In the overall cohort, the all-cause mortality rates at 28 days, 90 days, and 1 year were 5.0%, 11.4%, and 22.3%, respectively. After adjusting for confounders, each 1-unit increase in BUN/Cr was linked to higher mortality at 28 days (HR = 1.039, 95% CI: 1.014-1.064), 90 days (HR = 1.038, 95% CI: 1.020-1.055), and 1 year (HR = 1.027, 95% CI: 1.013-1.041). A 1-standard deviation increase in BUN/Cr corresponded to a 45.0%, 43.6%, and 29.4% increased risk at each time point (all P < 0.05). Compared with the T1 group, patients in the T3 had significantly higher risks of 90-day (HR = 3.042, 95% CI: 1.742-5.312) and 1-year (HR = 1.971, 95% CI: 1.349-2.879) mortality. Subgroup analyses confirmed consistent associations between BUN/Cr and 90-day and 1-year mortality across various clinical subgroups. ROC curve analysis demonstrated that BUN/Cr had a moderate predictive ability for mortality at 28 days (AUC = 0.636), 90 days (AUC = 0.656), and 1 year (AUC = 0.610). Notably, adding BUN/Cr to the baseline multivariable model significantly improved discrimination for 28-day mortality (P for comparison = 0.012). RCS modeling showed a linear and positive association between BUN/Cr and mortality without significant non-linearity (P-nonlinear > 0.5 for all time points). Conclusion: A higher BUN/Cr ratio is significantly linked to increased short- and long-term mortality in SA-AKI patients aged 50 and above, suggesting its potential utility for early risk stratification and clinical decision-making.

Indexed as

Acute Kidney InjuryBlood Urea NitrogenCreatinineSepsisAgedBiomarkersChinaFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesROC CurveBiomarkersCreatinineall-cause mortalityblood urea nitrogen to creatinine ratioprognostic indicatorretrospective cohort studysepsis-associated acute kidney injury

Identifiers

PMID41970991
PMCPMC13065687

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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.