Abstract: FR-PO0407
Effect of Atherogenic Index of Plasma on Risk of Contrast-induced AKI: An In-Hospital Electronic Monitoring System
Session Information
- AKI: Biomarkers, Diagnostics, and Risk Prediction
October 23, 2026 | Location: Exhibit Hall A, Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: Acute Kidney Injury
- 102 AKI: Clinical, Outcomes, and Trials
Authors
- Xu, Youjun, Ningbo No 2 Hospital, Ningbo, Zhejiang, China
- Zheng, Xingyue, Ningbo No 2 Hospital, Ningbo, Zhejiang, China
- Zhou, Fangfang, Ningbo No 2 Hospital, Ningbo, Zhejiang, China
- Luo, Qun, Ningbo No 2 Hospital, Ningbo, Zhejiang, China
Background
This study focuses on exploring the association between atherogenic index of plasma (AIP) and contrast-induced acute kidney injury (CI-AKI).
Methods
This study was carried out using the data from the in-hospital electronic monitoring system from June 1 2019 to July 31 2025 at Ningbo No. 2 Hospital, Zhejiang province, China. The association between AIP and CI-AKI was analyzed using logistic regression and restricted cubic spline (RCS) regression.
Results
The study included a total of 4220 patients, with 350 (8.29%) developed CI-AKI. The average age was 66.35±13.35 years. Table 1 showed that in the multivariate logistic regression analysis, after adjusting for confounding factors, AIP remained an independent risk factor for CI-AKI (OR=2.70, 95%CI=1.74-4.19,P<0.001). RCS regression analysis displayed that AIP demonstrated a linear relationship with CI-AKI (P<0.001, P for nonlinear=0.844) in figure 1.
Conclusion
The risk of CI-AKI occurrence was linearly related to AIP, highlighting the importance of monitoring AIP in clinical practice.
Table 1. Logistic regression analysis
| Model | OR | 95% CI | P |
| Unadjusted | 3.87 | 2.65-5.66 | <0.001 |
| Model 1 | 4.38 | 2.98-6.43 | <0.001 |
| Model 2 | 3.96 | 2.63-5.97 | <0.001 |
| Model 3 | 2.70 | 1.74-4.19 | <0.001 |
Model 1 adjusted for age, gender, and Body Mass Index Model 2 adjusts for age, gender, Body Mass Index, hypertension, diabetes, nephrotoxic antibiotics, vasoactive drugs, diuretics, and statins. Model 3 adjusts for age, gender, Body Mass Index, hypertension, diabetes, nephrotoxic antibiotics, vasoactive drugs, diuretics, statins, white blood cells, hematocrit, C-reactive protein, aspartate aminotransferase, serum creatinine, glucose, and Creatine Kinase MB.
Fig 1. Associations between AIP and CI-AKI in restricted cubic spline regression