Evidence map›Paper›PMID 40898846›Full record

ArticleRenal failure2025

Association between time-weighted average glucose concentration or glucose variability and acute kidney injury among coronary artery disease patients with prediabetes.

Jiaxin Ren, Ge Wang, Yizhe Zhou, Wei Gong, Hongjia Zhang, Yan Yan

Abstract read
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Article in Renal failure, 2025. 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jiaxin RenDivision of Cardiology, Center for Coronary Artery Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.ORCID 0009-0007-5823-3666
Ge WangDivision of Cardiology, Center for Coronary Artery Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Yizhe ZhouDivision of Cardiology, Center for Coronary Artery Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Wei GongDivision of Cardiology, Center for Coronary Artery Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Hongjia ZhangNational Clinical Research Center of Cardiovascular Diseases, Beijing, China.
Yan YanDivision of Cardiology, Center for Coronary Artery Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo validate the effectiveness of intensive glycemic control in preventing acute kidney injury (AKI) among patients with coronary artery disease (CAD) and prediabetes.

methodsThis investigation employed data from the Prospective Registry of the Current Status of Care for Patients with CAD database. Glycemic control was evaluated using the time-weighted average glucose (TWAG) and the glucose coefficient of variation (CV) for each participant. The primary outcome was AKI occurrence.

resultsA total of 2,454 CAD patients with prediabetes were included between January 2022 and June 2023. The mean age was 62.6 ± 10.3 years, with 27.1% female. In univariate analysis, each 1 mmol/L increase in TWAG was associated with a 1.51-fold (95% confidence interval (CI): 1.36-1.68) higher incidence of AKI. After stepwise adjustment for covariates, the odds ratio (OR) remained significant at 1.50 (95% CI: 1.35-1.67). Similarly, glucose CV showed a positive correlation with AKI risk; a 0.1-unit increase in CV was linked to approximately a 44% higher risk. When both TWAG and CV were included simultaneously in the model, each maintained an independent positive association with AKI. Restricted cubic spline analyses revealed a dose-dependent increase in AKI risk with rising TWAG and CV. Subgroup analyses confirmed the positive relationship between TWAG, glucose variability, and AKI risk.

conclusionsOur study reveals an association between TWAG or CV of glucose and AKI in individuals with both CAD and prediabetes. These findings highlight the potential value of continuous glucose monitoring and managing glycemic variability to reduce AKI risk in this population.

Indexed as

Acute Kidney InjuryBlood GlucoseCoronary Artery DiseasePrediabetic StateAgedFemaleHumansIncidenceMaleMiddle AgedProspective StudiesRegistriesRisk FactorsBlood GlucoseAcute kidney injurycoronary artery diseaseglucose concentrationglucose variabilityprediabetes

Identifiers

PMID40898846
PMCPMC12409916

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