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Updated: Aug 17, 2026

Assessment of Vascular Function in Patients With Chronic Kidney Disease
Published on: June 16, 2014
Derivation and validation of a disease-specific risk score for cardiac risk stratification in chronic kidney disease
Kirsten A Armstrong1, Dhrubo J Rakhit, Colin Case
1MBBS, University of Queensland, Department of Medicine, Princess Alexandra Hospital, Ipswich Road, Brisbane, Queensland 4102, Australia.
Insights
A new cardiac risk score effectively identifies patients with chronic kidney disease (CKD) at high risk for cardiac events. This score uses cardiac history, dialysis duration, BMI, and phosphate levels for improved risk stratification.
Area of Science:
- Nephrology
- Cardiology
- Clinical Risk Prediction
Background:
- Cardiac events are a leading cause of mortality in chronic kidney disease (CKD) patients.
- Accurate risk stratification is crucial for managing cardiovascular complications in CKD.
Purpose of the Study:
- To develop and validate a novel cardiac risk score for predicting cardiac events in CKD patients.
- To identify key clinical and biochemical factors associated with cardiac events in this population.
Main Methods:
- A cardiac risk score was derived using Cox regression analysis in 167 CKD patients.
- Independent predictors included cardiac history, body mass index (BMI), dialysis duration, and serum phosphate.
- The score's validity was confirmed in a separate validation cohort of 99 CKD patients.
Main Results:
- The derived cardiac risk score demonstrated strong predictive performance (AUC 0.86 in derivation, 0.84 in validation).
- Key predictors identified were cardiac history, BMI, dialysis duration, and serum phosphate.
- An optimal cut-off identified high-risk individuals, who experienced significantly more cardiac events.
Conclusions:
- A validated cardiac risk score incorporating cardiac history, dialysis duration, BMI, and phosphate effectively identifies CKD patients at risk of future cardiac events.
- This tool can aid in risk stratification and clinical decision-making for CKD patients.
- Further application of this score may improve cardiovascular outcomes in CKD management.
Objective:
Cardiac events (CE; cardiac death, non-fatal myocardial infarction and acute coronary syndrome) are the principal causes of death in patients with chronic kidney disease (CKD). We sought to devise and validate a cardiac risk score to risk-stratify patients with CKD.
Methods:
Clinical history and biochemical data were obtained in 167 CKD patients. CE were recorded over a median follow-up of 22 months. The hazard ratio (HR) of each independent variable using Cox regression analysis was used to derive a cardiac risk score for the prediction of events. The cardiac risk score was then applied to a validation population of 99 CKD patients to confirm its validity in predicting CE.
Results:
CE occurred in 20 patients in the derivation group. The independent predictors of CE were cardiac history (HR 9.83, P = 0.001), body mass index (BMI; HR 1.15, P = 0.002), dialysis duration (HR 1.24, P = 0.004) and serum phosphate (HR 4.29, P = 0.001). The resulting cardiac risk score (range 26-67) gave an area under the receiver operating characteristic curve of 0.86. CE occurred in 25 patients in the validation group; the ROC curve area was similar (0.84, P = 0.11). An optimal cardiac risk score cut-off of 50 assigned high risk to 29% of the derivation and 35% of the validation group (P = 0.26). CE occurred in 35 and 57% of the high-risk derivation and validation groups, respectively (P = 0.09), and in 2 and 8% of the low-risk groups (P = 0.15).
Conclusion:
Application of a cardiac risk score using cardiac history, dialysis duration, BMI and phosphate identifies CKD patients at risk of future CE.
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