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A Large Animal Model for Acute Kidney Injury by Temporary Bilateral Renal Artery Occlusion
Published on: February 2, 2021
Prognostic Value of Blood Urea Nitrogen for Acute Kidney Injury and Mortality in Vasculitis: A Large Cohort Study
Si Chen1, Rongfeng Liu1, Yongzhi Zhang1
1Department of Clinical Laboratory, Beijing Anzhen Hospital, Capital Medical University, Anzhen Road No. 2, Chaoyang District, Beijing 100029, China.
Blood urea nitrogen (BUN) predicts acute kidney injury (AKI) and mortality in vasculitis patients. Elevated BUN levels, especially above 32 mg/dL, indicate higher risks, aiding early stratification.
Area of Science:
- Nephrology
- Rheumatology
- Critical Care Medicine
Background:
- Acute kidney injury (AKI) is a significant complication in vasculitis, impacting patient prognosis.
- The predictive role of blood urea nitrogen (BUN) for AKI and mortality in vasculitis requires further clarification.
Purpose of the Study:
- To investigate the association between BUN levels and the occurrence of AKI in patients with vasculitis.
- To evaluate BUN as a predictor of short-term (30-day) and long-term (365-day) mortality in vasculitis patients, particularly those with AKI.
Main Methods:
- Retrospective analysis of 701 vasculitis patients from MIMIC-III/IV databases.
- AKI diagnosis based on KDIGO serum creatinine criteria.
- Statistical analyses included logistic regression, Cox regression, restricted cubic spline (RCS) analysis, and machine learning models.
Main Results:
- AKI was observed in 25.1% of patients, correlating with increased 30- and 365-day mortality.
- BUN independently predicted AKI (OR: 1.03; 95% CI: 1.02-1.05) and mortality in AKI patients.
- A BUN threshold of 32 mg/dL was identified, above which mortality risk significantly increased. Machine learning models confirmed BUN and age as key prognostic factors.
Conclusions:
- Blood urea nitrogen serves as a practical and independent predictor of AKI and mortality in vasculitis.
- BUN measurement can aid in early risk stratification for improved patient management and outcomes.
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