ArticleJournal of inflammation research2024
The Predictive Value of SII Combined with UHR for Contrast-Induced Acute Kidney Injury in Patients with Acute Myocardial Infarction After Percutaneous Coronary Intervention.
Article in Journal of inflammation research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Association between inflammatory burden index combined with D-dimer and acute kidney injury in elderly patients.Frontiers in medicine · 2026Article
- Remnant cholesterol associated with contrast-induced acute kidney injury in patients with ST-segment elevation myocardial infarction following percutaneous coronary intervention.Scientific reports · 2025Article
- Article
- Association between uric acid to high-density lipoprotein cholesterol ratio and chronic kidney disease in Chinese patients with type 2 diabetes mellitus: a cross-sectional study.Frontiers in nutrition · 2025Article
- Development and Testing a New Online Dynamic Nomogram for Contrast-Induced Acute Kidney Injury in Elderly Patients with ST-Segment Elevation Myocardial Infarction.Clinical interventions in aging · 2025Article
- The correlation between the uric acid to high-density lipoprotein cholesterol ratio and stroke.Frontiers in medicine · 2025Article
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Authors and funding
9 authors.
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Abstract
Background: Contrast-induced acute kidney injury (CI-AKI) refers to the acute renal dysfunction caused by the injection of contrast agents. CI-AKI is currently a common complication after percutaneous coronary intervention (PCI). Objective: To investigate the predictive value of the combined systemic inflammatory index (SII) and urate/high-density lipoprotein cholesterol ratio (UHR) for CI-AKI after PCI in patients with AMI. Methods: A total of 1222 patients with AMI who underwent PCI were randomly divided into a training group and a validation group in an 8:2 ratio. According to the definition of CI-AKI diagnostic criteria, the training group was divided into CI-AKI group and non-CI-AKI group. Collect patient's blood and biochemical data, then calculate SII and UHR. The risk factors for CI-AKI were identified using LASSO and multivariate logistic regression analyses. A predictive column was created by using R language.Evaluate the predictive value of SII, UHR and their combination for CI-AKI after PCI using the area under the ROC curve (AUC). Results: Diabetes, Cystatin C, Diuretics, UHR, and LnSII were independent risk factors for CI-AKI in AMI patients after PCI. The ROC curve showed that the AUC of UHR and SII combined for predicting CI-AKI in AMI patients after PCI was 0.761 (95% Conclusion: High SII and high UHR are risk factors for AMI, and their combination can improve the accuracy of predicting CI-AKI in AMI patients after PCI.The prognosis of CI-AKI in AMI patients is worse than in the general population.
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