ArticleInternational urology and nephrology2024
A single-center clinical study of acute kidney injury associated with acute myocardial infarction.
Article in International urology and nephrology, 2024. 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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Who cites it
1 citing paper in PubMed, 0 citations in OpenAlex.
- Metabolite-based Analysis of High-Risk Factors on Occurrence of AKI in Patients with Acute Myocardial Infarction.Journal of cardiovascular translational research · 2026Article
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Authors and funding
4 authors at 3 institutions in 1 country.
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Abstract
objectiveTo investigate the risk factors of acute kidney injury (AKI) patients with acute myocardial infarction (AMI) and establish potential microRNA (miRNA) biomarkers in the peripheral blood of AMI-AKI patients.
methodsPatients hospitalized from 2016 to 2020 and diagnosed with AMI (with AKI or without AKI groups) were recruited. The data of the two groups were compared and the risk factors of AMI-AKI were analyzed by logistic regression. The receiver operator characteristics (ROC) curve was drawn and the predictive value of risk factors in AMI-AKI was evaluated. Six AMI-AKI patients were selected and six healthy subjects were enrolled as the control. The peripheral blood samples of the two groups were collected for miRNA high-throughput sequencing.
resultsA total of 300 AMI patients were collected, including 190 patients with AKI and 110 patients without AKI. Multivariate logistic regression analysis indicated that diastolic pressure (68-80 mmHg), urea nitrogen, creatinine, serum uric acid (SUA), aspartate aminotransferase (AST), and left ventricular ejection fraction were the dependent risk factors of AMI-AKI patients (P < 0.05). ROC curve showed that the incidence of AMI-AKI patients was most correlated with urea nitrogen, creatinine, and SUA. In addition, 60 differentially expressed miRNAs were identified between AMI-AKI and controls. Then, hsa-miR-2278, hsa-miR-1827, and hsa-miR-149-5p were more corrected with predictors. Twelve of them targeted 71 genes involved in phagosome, oxytocin signaling pathway, and microRNAs in cancer pathways.
conclusionUrea nitrogen, creatinine, and SUA were the dependent risk factors and important predictors for AMI-AKI patients. Three miRNAs may be considered as biomarkers for AMI-AKI.
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