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Published in: BMC Cardiovascular Disorders 1/2024

Open Access 01-12-2024 | Acute Kidney Injury | Research

Association between triglyceride glucose and acute kidney injury in patients with acute myocardial infarction: a propensity score‑matched analysis

Authors: Dabei Cai, Tingting Xiao, Qianwen Chen, Qingqing Gu, Yu Wang, Yuan Ji, Ling Sun, Jun Wei, Qingjie Wang

Published in: BMC Cardiovascular Disorders | Issue 1/2024

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Abstract

Background

Acute kidney injury (AKI) in patients with acute myocardial infarction (AMI) often indicates a poor prognosis.

Objective

This study aimed to investigate the association between the TyG index and the risk of AKI in patients with AMI.

Methods

Data were taken from the Medical Information Mart for Intensive Care (MIMIC) database. A 1:3 propensity score (PS) was set to match patients in the AKI and non-AKI groups. Multivariate logistic regression analysis, restricted cubic spline (RCS) regression and subgroup analysis were performed to assess the association between TyG index and AKI.

Results

Totally, 1831 AMI patients were included, of which 302 (15.6%) had AKI. The TyG level was higher in AKI patients than in non-AKI patients (9.30 ± 0.71 mg/mL vs. 9.03 ± 0.73 mg/mL, P < 0.001). Compared to the lowest quartile of TyG levels, quartiles 3 or 4 had a higher risk of AKI, respectively (Odds Ratiomodel 4 = 2.139, 95% Confidence Interval: 1.382–3.310, for quartile 4 vs. quartile 1, Ptrend < 0.001). The risk of AKI increased by 34.4% when the TyG level increased by 1 S.D. (OR: 1.344, 95% CI: 1.150–1.570, P < 0.001). The TyG level was non-linearly associated with the risk of AKI in the population within a specified range. After 1:3 propensity score matching, the results were similar and the TyG level remained a risk factor for AKI in patients with AMI.

Conclusion

High levels of TyG increase the risk of AKI in AMI patients. The TyG level is a predictor of AKI risk in AMI patients, and can be used for clinical management.
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Metadata
Title
Association between triglyceride glucose and acute kidney injury in patients with acute myocardial infarction: a propensity score‑matched analysis
Authors
Dabei Cai
Tingting Xiao
Qianwen Chen
Qingqing Gu
Yu Wang
Yuan Ji
Ling Sun
Jun Wei
Qingjie Wang
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Cardiovascular Disorders / Issue 1/2024
Electronic ISSN: 1471-2261
DOI
https://doi.org/10.1186/s12872-024-03864-5

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