Related Experiment Video
Updated: Jan 25, 2026
Author Spotlight: Innovative Technique for Coronary Angiography in Marginal Donors
Published on: July 12, 2024
A simple risk score model for predicting contrast-induced nephropathy after coronary angiography in patients with
Jun-Feng Zeng1,2, Shi-Qun Chen1,3, Jian-Feng Ye4
1Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong, China.
Insights
A new risk score effectively predicts contrast-induced nephropathy (CIN) in diabetic patients undergoing cardiac procedures. This simple tool aids in identifying high-risk individuals for CIN, improving patient outcomes.
Area of Science:
- Cardiology
- Nephrology
- Medical Informatics
Background:
- Contrast-induced nephropathy (CIN) is a significant complication following coronary angiography (CAG) or percutaneous coronary intervention (PCI).
- Existing CIN prediction models lack specific focus on patients with diabetes mellitus (DM).
Purpose of the Study:
- To develop and validate a straightforward risk score for predicting CIN in patients with DM undergoing CAG/PCI.
- To provide a practical tool for risk stratification in this vulnerable patient population.
Main Methods:
- A cohort of 1157 patients with DM undergoing CAG/PCI was divided into development (n=771) and validation (n=386) groups.
- Multivariate logistic regression identified independent predictors of CIN, defined as a serum creatinine increase of ≥0.5 mg/dL within 48-72 hours.
- Risk score performance was evaluated using ROC curves and the Hosmer-Lemeshow test.
Main Results:
- The overall incidence of CIN was 3.9%.
- The developed 'Chen score' incorporates age >75 years, acute myocardial infarction, serum creatinine >1.5 mg/dL, and intra-aortic balloon pump use.
- The Chen score demonstrated comparable predictive accuracy for CIN, mortality, and major adverse cardiovascular events (MACEs) against established Mehran and ACEF scores.
Conclusions:
- The novel Chen risk score is a valuable tool for predicting CIN in diabetic patients undergoing CAG/PCI.
- This simple score can assist clinicians in identifying patients at higher risk for CIN, potentially guiding preventative strategies.
Background:
Contrast-induced nephropathy (CIN) is a common complication in patients undergoing coronary angiography (CAG) or percutaneous coronary intervention (PCI) and associated with poor outcome. Some previous studies have already set up models to predict CIN, but there is no model for patients with diabetes mellitus (DM) especially. Therefore, we aim to develop and validate a simple risk score for predicting the risk of CIN in patients with DM undergoing CAG/PCI.
Methods:
A total of 1157 consecutive patients with DM undergoing CAG/PCI were randomly assigned to a development cohort (n = 771) and a validation cohort (n = 386). The primary endpoint was CIN, which was defined as an absolute increase in serum creatinine (SCr) by 0.5 mg/dL from the baseline within 48-72 h after contrast exposure. The independent predictors for CIN were identified by multivariate logistic regression, and the discrimination and calibration of the risk score were assessed by ROC curve and Hosmer-Lemeshow test, respectively.
Results:
The overall incidence of CIN was 45 (3.9%). The new simple risk score (Chen score), which included four independent variables (age > 75 years, acute myocardial infarction, SCr > 1.5 mg/dL, the use of intra-aortic balloon pump), exhibited a similar discrimination and predictive ability on CIN (AUC 0.813, 0.843, 0.796, P > 0.05, respectively), mortality (AUC 0.735, 0.771, 0.826, respectively) and MACEs when being compared with the classical Mehran or ACEF risk score.
Conclusion:
Our data suggest that the new simple risk score might be a good tool for predicting CIN in patients with DM undergoing CAG/PCI.
More Related Videos
08:15Author Spotlight: Network Pharmacology and Molecular Docking to Decipher the Action of Jiawei Shengjiang San Against Diabetic Kidney Disease
Published on: May 10, 2024
06:16Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
Published on: August 9, 2024
Related Concept Videos
01:06Introduction to z Scores
z scores...
01:05Introduction to z Scores
z scores...
01:17z Scores and Area Under the Curve
02:27Predicting Molecular Geometry
01:13Induced-fit Model
Enzymes exhibit substrate specificity, meaning that they can only bind to certain substrates. This is mainly determined by the shape and chemical...
01:26Phase Contrast and Differential Interference Contrast Microscopy
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...