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Pre-Procedural Risk Score of Contrast-Induced Nephropathy in Elderly Patients Undergoing Elective Coronary
Dan Lian1, Yong Liu, Yuan-Hui Liu
1Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Academy of Medical Sciences, Guangdong General Hospital.
Insights
A new scoring model predicts contrast-induced nephropathy (CIN) risk in elderly patients undergoing coronary angiography (CAG). Key factors include advanced age, reduced creatinine clearance, and congestive heart failure, aiding clinical decision-making.
Area of Science:
- Cardiology
- Nephrology
- Medical Informatics
Background:
- Contrast-induced nephropathy (CIN) is a significant complication following coronary angiography (CAG).
- Predicting CIN risk in elderly patients is crucial for proactive management and reducing adverse outcomes.
Purpose of the Study:
- To develop and validate a clinical scoring model for predicting CIN risk in elderly patients undergoing elective CAG.
- To identify independent predictors of CIN in this vulnerable population.
Main Methods:
- A cohort of 1286 elderly patients (>65 years) undergoing elective CAG was studied.
- Patients were randomly assigned to development (n=756) and validation (n=530) datasets.
- Logistic regression identified independent predictors, forming a weighted risk score model.
Main Results:
- The final risk score model incorporated age > 75 years, creatinine clearance (CrCl) < 60 mL/minute, and congestive heart failure (CHF).
- CIN incidence varied significantly across risk groups: low (3.1%), moderate (9.1%), and high (29.0%).
- The model showed good predictive performance in both development (c-statistic=0.727) and validation (c-statistic=0.695) datasets.
Conclusions:
- A simple 3-variable risk score model effectively predicts CIN in elderly patients before elective CAG.
- CIN is an independent risk factor for major adverse cardiac events (MACE) post-procedure.
- This tool can aid clinicians in stratifying CIN risk and guiding preventative strategies.
Abstract:
To establish a scoring model to predict the risk of contrast-induced nephropathy (CIN) in elderly patients undergoing elective coronary angiography (CAG).A total of 1286 patients aged > 65 years who had undergone elective CAG between August 2009 and February 2013 were enrolled in this study. They were randomly (3:2) assigned to a development (n = 756) or validation dataset (n = 530). Independent predictors of CIN were identified by using logistic regression and were assigned a weighted integer, which was used to establish a score model.CIN incidence in the development set was 6.3%. The risk score model contained 3 variables (with the weighted integer): age > 75 years (1.5), creatinine clearance (CrCl) < 60 mL/minute (1), and congestive heart failure (CHF) (1.5). CIN incidence was 3.1%, 9.1%, and 29.0% in the low-risk group (≤ 1), moderate risk group (1 - 3), and high-risk group (≥ 3), respectively. The risk model demonstrated good prediction value in the development (c-statistic = 0.727) and validation (c-statistic = 0.695) datasets. Compared to the non-CIN group, the CIN group had a significantly higher rate of inhospital major adverse cardiac events (P < 0.01).The risk score model with 3 variables, namely age > 75 years, CrCl < 60 mL/minute, and CHF, is a clinical prediction tool for CIN in elderly patients before elective CAG. CIN is one of the independent risk factors of major adverse cardiac events (MACE).
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