Association between average glucose concentration or glucose variability and acute kidney injury among CAD patients with prediabetes

Abstract Background Prediabetes, impacting approximately 10% of adults, lacks comprehensive attention, and there is limited data on effective glycemic control strategies. Meta-analysis suggests that intensive glycemic control is linked to a lower incidence of major adverse cardiovascular events, mainly driven by decreased reinfarction and reduced microvascular complications in coronary artery disease (CAD) patients. However, despite these associations, existing evidence does not conclusively establish the efficacy of intensive glycemic control in enhancing cardio-renal outcomes. Purpose In the present study, we aimed to validate the utility of intensive glycaemic control on acute kidney injury (AKI) prevention using a prospective, pragmatic clinical data of patients with CAD. Methods This study utilized data from the Prospective Registry of the Current Status of Care for Patients with Coronary Artery Disease database, a nationwide and pragmatic registry project initiated on January 17th, 2022. Data, including demographics, medical history, and lab results, were collected from electronic medical records. The time-weighted average glucose (TWAG) and glucose variability (CV) for each patient to assess glycaemic control, and outcomes including AKI were assessed. Statistical analysis involved logistic models and sensitivity analyses. SAS 9.4 and R software were used, with p<0.05 considered significant. Results Between January 2022 and June 2023, 2,454 CAD patients with prediabetes were included for final analysis. Among them, the average age was 62.6 ± 10.3 years, of whom 27.1% were females. In univariate model, the incidence of AKI was 1.51 (1.36,1.68) times higher in patients with an increasing TWAG per mmol/L. After the stepwise adjusting of covariates, the OR was 1.50 (1.35,1.67). CV of glucose also had positive association with AKI. An increasing of 0.1 unit of CV increased the risk of about 44%. When adjusting the TWAG and CV of glucose at the same time, both still had positive association with AKI. A restricted cubic splines plot showed an increasing trend of the ORs for AKI as both TWAG and CV of glucose increased. Subgroups analyses also showed stable positive association between TWAG, CV and AKI. Conclusions Our study reveals an association between TWAG or CV and AKI in individuals with both CAD and prediabetes. These findings underscore the importance of continuous glucose monitoring and the implementation of intensive glycaemic control for CAD patients coexistence of prediabetes.Restricted cubic splines function

Authors

Institutions

Publication Details

Journal
European Heart Journal
Published
2024-10-01
DOI
https://doi.org/10.1093/eurheartj/ehae666.1472
Primary Topic
Neurological and metabolic disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association between average glucose concentration or glucose variability and acute kidney injury among CAD patients with prediabetes

Jun Ren, Yan Yan, Wei Gong, Yujie Zhou et al.
European Heart Journal
Neurological and metabolic disorders
article

Association between average glucose concentration or glucose variability and acute kidney injury among CAD patients with prediabetes

Jun Ren, Yan Yan, Wei Gong, Yujie Zhou, Gang Wang
article en

Abstract

Abstract Background Prediabetes, impacting approximately 10% of adults, lacks comprehensive attention, and there is limited data on effective glycemic control strategies. Meta-analysis suggests that intensive glycemic control is linked to a lower incidence of major adverse cardiovascular events, mainly driven by decreased reinfarction and reduced microvascular complications in coronary artery disease (CAD) patients. However, despite these associations, existing evidence does not conclusively establish the efficacy of intensive glycemic control in enhancing cardio-renal outcomes. Purpose In the present study, we aimed to validate the utility of intensive glycaemic control on acute kidney injury (AKI) prevention using a prospective, pragmatic clinical data of patients with CAD. Methods This study utilized data from the Prospective Registry of the Current Status of Care for Patients with Coronary Artery Disease database, a nationwide and pragmatic registry project initiated on January 17th, 2022. Data, including demographics, medical history, and lab results, were collected from electronic medical records. The time-weighted average glucose (TWAG) and glucose variability (CV) for each patient to assess glycaemic control, and outcomes including AKI were assessed. Statistical analysis involved logistic models and sensitivity analyses. SAS 9.4 and R software were used, with p<0.05 considered significant. Results Between January 2022 and June 2023, 2,454 CAD patients with prediabetes were included for final analysis. Among them, the average age was 62.6 ± 10.3 years, of whom 27.1% were females. In univariate model, the incidence of AKI was 1.51 (1.36,1.68) times higher in patients with an increasing TWAG per mmol/L. After the stepwise adjusting of covariates, the OR was 1.50 (1.35,1.67). CV of glucose also had positive association with AKI. An increasing of 0.1 unit of CV increased the risk of about 44%. When adjusting the TWAG and CV of glucose at the same time, both still had positive association with AKI. A restricted cubic splines plot showed an increasing trend of the ORs for AKI as both TWAG and CV of glucose increased. Subgroups analyses also showed stable positive association between TWAG, CV and AKI. Conclusions Our study reveals an association between TWAG or CV and AKI in individuals with both CAD and prediabetes. These findings underscore the importance of continuous glucose monitoring and the implementation of intensive glycaemic control for CAD patients coexistence of prediabetes.Restricted cubic splines function

European Heart JournalVol. 45(Supplement_1)
Capital Medical University (CN), Beijing Anzhen Hospital (CN)
Openalex Percentile: Top 70%
Neurological and metabolic disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.