ArticleRenal failure2025
Age, creatinine, and ejection fraction score is a risk factor for acute kidney injury after surgical aortic valve replacement.
Article in Renal failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Machine learning redevelopment of GRACE, ACEF, and TIMI scores for 6-month mortality.Frontiers in artificial intelligence · 2026Article
- Beyond ACEF: integrating biomarkers and intraoperative factors for enhanced AKI prediction post-SAVR.Renal failure · 2025Article
- Predictors for and Consequences of Acute Kidney Injury After Surgical Aortic Valve Replacement: An Observational Retrospective Study.Journal of clinical medicine · 2025Article
- Pre-Procedural Use of Levosimendan in High-Risk ACS-PCI Patients with Reduced Left Ventricle Ejection Fraction-Short-Term Outcomes.Journal of clinical medicine · 2025Article
- Identification of the risk factors for predicting severe acute kidney injury in patients after liver transplantation.Frontiers in physiology · 2025Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe incidence of acute kidney injury (AKI) increases after surgical aortic valve replacement (SAVR). This study aimed to characterize the risk factors of AKI after SAVR. METHODS AND
resultsWe conducted a retrospective registry study based on data from 299 consecutive patients undergoing SAVR. At 48 h after SAVR, 41 patients developed AKI. There was a significantly higher prevalence of older age, higher body mass index (BMI), and diabetes mellitus in the AKI group. Previous use of angiotensin-converting enzyme inhibitors/angiotensin receptor blocker (ACEI/ARB) and β-blocker, intake and output volumes within 24 h, mechanical ventilation time, length of intensive care unit and hospital stay, baseline creatinine, baseline, 24 h, and 48 h estimated glomerular filtration rate were strongly associated with the incidence of AKI. BMI >24, history of hypertension, use of ACEI/ARB and β-blocker, and mechanical ventilation time were associated with AKI. Univariate logistic regression indicated that overweight, hypertension, use of ACEI/ARB and β-blocker, and mechanical ventilation time were associated with AKI. Notably, the ACEF score was an independent predictor of AKI. The receiver operating characteristic curve was employed to assess the ACEF score for predicting AKI and the best cutoff was 1.1. After dividing ACEF into quartiles, each one-unit increment in ACEF led to a 2.27-fold risk in the incidence of AKI among patients.
conclusionsAKI is a generalizable phenomenon occurring frequently after SAVR. The ACEF score is an independent predictor of AKI among patients undergoing SAVR.
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